Marketing Automation Quotes

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increasing automation accompanied by social ruin. We must make the market serve humanity rather than have humanity continue to serve the market.

Automate This: How Algorithms Took Over Our Markets, Our Jobs, And The World

If automating everything makes people lazier and lazier, and laziness leads to stupidity, which it does for most people, judging by the current content circulating the social networks everywhere, except North Korea, where they don’t have any internet to speak of - at some point the Japanese robots, for which a market niche is currently being developed, with no concerns on how they should be designed to act in society or outside it - will have no choice, but to take everything over, to preserve us from ourselves…

A half century from now, our grandchildren are likely to look back at the era of mass employment in the market with the same sense of utter disbelief as we look upon slavery and serfdom in former times. The very idea that a human being’s worth was measured almost exclusively by his or her productive output of goods and services and material wealth will seem primitive, even barbaric, and be regarded as a terrible loss of human value to our progeny living in a highly automated world where much of life is lived on the Collaborative Commons.

In the medium term, AI may automate our jobs, to bring both great prosperity and equality. Looking further ahead, there are no fundamental limits to what can be achieved. There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it may play out differently than in the movies. As mathematician Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, in what science-fiction writer Vernor Vinge called a technological singularity. One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders and potentially subduing us with weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all.

Cope’s bot can string together notes that weave in and out with the power of Beethoven or the finesse of Mozart. That a machine can produce things of such beauty is threatening to many in the music community. “If you’ve spent a good portion of your life being in love with these dead composers and along comes some twerp who claims to have this piece of software that can move you in the same way, suddenly you’re asking yourself, ‘What’s happened here?’” Cope says. “I’m messing with some very powerful relationships.

The rise of automation breaks the need for human commodification and dehumanization, assuming we adjust accordingly to remove labor-for-income as a universal economic requirement. In the words of Jeremy Rifkin: A half century from now, our grandchildren are likely to look back at the era of mass employment in the market with the same sense of utter disbelief as we look upon slavery and serfdom in former times. The very idea that a human being’s worth was measured almost exclusively by his or her productive output of goods and services and material wealth will seem primitive, even barbaric, and be regarded as a terrible loss of human value to our progeny living in a highly automated world.

His early research wasn’t especially original. Ax identified slight upward trends in a number of investments and tested if their average price over the previous ten, fifteen, twenty, or fifty days was predictive of future moves. It was similar to the work of other traders, often called trenders, who examine moving averages and jump on market trends, riding them until they peter out. Ax’s predictive models had potential, but they were quite crude. The trove of data Simons and others had collected proved of little use, mostly because it was riddled with errors and faulty prices. Also, Ax’s trading system wasn’t in any way automated—his trades were made by phone, twice a day, in the morning and at the end of the trading day.

GET BEYOND THE ONE-MAN SHOW Great organizations are never one-man operations. There are 22 million licensed small businesses in America that have no employees. Forbes suggests 75 percent of all businesses operate with one person. And the average income of those companies is a sad $44,000. That’s not a business—that’s torture. That is a prison where you are both the warden and the prisoner. What makes a person start a business and then be the only person who works there? Are they committed to staying small? Or maybe an entrepreneur decides that because the talent pool is so poor, they can’t hire anyone who can do it as well as them, and they give up. My guess is the latter: Most people have just given up and said, “It’s easier if I just do it myself.” I know, because that’s what I did—and it was suicidal. Because my business was totally dependent on me and only me, I was barely able to survive, much less grow, for the first ten years. Instead I contracted another company to promote my seminars. When I hired just one person to assist me out of my home office, I thought I was so smart: Keep it small. Keep expenses low. Run a tight ship. Bigger isn’t always better. These were the things I told myself to justify not growing my business. I did this for years and even bragged about how well I was doing on my own. Then I started a second company with a partner, a consulting business that ran parallel to my seminar business. This consulting business quickly grew bigger than my first business because my partner hired people to work for us. But even then I resisted bringing other people into the company because I had this idea that I didn’t want the headaches and costs that come with managing people. My margins were monster when I had no employees, but I could never grow my revenue line without killing myself, and I have since learned that is where all my attention and effort should have gone. But with the efforts of one person and one contracted marketing company, I could expand only so much. I know that a lot of speakers and business gurus run their companies as one-man shows. Which means that while they are giving advice to others about how to grow a business, they may have never grown one themselves! Their one-man show is simply a guy or gal going out, collecting a fee, selling time and a few books. And when they are out speaking, the business terminates all activity. I started studying other people and companies that had made it big and discovered they all had lots of employees. The reality is you cannot have a great business if it’s just you. You need to add other people. If you don’t believe me, try to name one truly great business that is successful, ongoing, viable, and growing that doesn’t have many people making it happen. Good luck. Businesses are made of people, not just machines, automations, and technology. You need people around you to implement programs, to add passion to the technology, to serve customers, and ultimately to get you where you want to go. Consider the behemoth online company Amazon: It has more than 220,000 employees. Apple has more than 100,000; Microsoft has around the same number. Ernst & Young has more than 200,000 people. Apple calls the employees working in its stores “Geniuses.” Don’t you want to hire employees deserving of that title too? Think of how powerful they could make your business.

Preventing job losses altogether is an unattractive and probably untenable strategy, because it means giving up the immense positive potential of AI and robotics. Nevertheless, governments might decide to deliberately slow down the pace of automation, in order to lessen the resulting shocks and allow time for readjustments. Technology is never deterministic, and the fact that something can be done does not mean it must be done. Government regulation can successfully block new technologies even if they are commercially viable and economically lucrative. For example, for many decades we have had the technology to create a marketplace for human organs, complete with human ‘body farms’ in underdeveloped countries and an almost insatiable demand from desperate affluent buyers. Such body farms could well be worth hundreds of billions of dollars. Yet regulations have prevented free trade in human body parts, and though there is a black market in organs, it is far smaller and more circumscribed than what one could have expected.22

The cheerleaders of the new data regime rarely acknowledge the impacts of digital decision-making on poor and working-class people. This myopia is not shared by those lower on the economic hierarchy, who often see themselves as targets rather than beneficiaries of these systems. For example, one day in early 2000, I sat talking to a young mother on welfare about her experiences with technology. When our conversation turned to EBT cards, Dorothy Allen said, “They’re great. Except [Social Services] uses them as a tracking device.” I must have looked shocked, because she explained that her caseworker routinely looked at her purchase records. Poor women are the test subjects for surveillance technology, Dorothy told me. Then she added, “You should pay attention to what happens to us. You’re next.” Dorothy’s insight was prescient. The kind of invasive electronic scrutiny she described has become commonplace across the class spectrum today. Digital tracking and decision-making systems have become routine in policing, political forecasting, marketing, credit reporting, criminal sentencing, business management, finance, and the administration of public programs. As these systems developed in sophistication and reach, I started to hear them described as forces for control, manipulation, and punishment

Look,” she told me one day in a Millsport coffeehouse. “Shopping—actual, physical shopping—could have been phased out centuries ago if they’d wanted it that way.” “They who?” “People. Society.” She waved a hand impatiently. “Whoever. They had the capacity back then. Mail order, virtual supermarkets, automated debiting systems. It could have been done and it never happened. What does that tell you?” At twenty-two years old, a Marine Corps grunt via the street gangs of Newpest, it told me nothing. Carlyle took in my blank look and sighed. “It tells you that people like shopping. That it satisfies a basic, acquisitive need at a genetic level. Something we inherited from our hunter-gatherer ancestors. Oh, you’ve got automated convenience shopping for basic household items, mechanical food distribution systems for the marginalized poor. But you’ve also got a massive proliferation of commercial hives and speciality markets in food and crafts that people physically have to go to. Now why would they do that, if they didn’t enjoy it?” I probably shrugged, maintaining my youthful cool. “Shopping is physical interaction, exercise of decision-making capacity, sating of the desire to acquire, and an impulse to more acquisition, a scouting urge. It’s so basically fucking human when you think about it. You’ve got to learn to love it, Tak. I mean you can cross the whole archipelago on a hover; you never even need to get wet. But that doesn’t take the basic pleasure out of swimming, does it? Learn to shop well, Tak. Get flexible. Enjoy the uncertainty.

Therefore, when labour-saving technology reduces total socially necessary labour time (per commodity – for an increase in the number of commodities made may increase socially necessary labour time in absolute terms), there tends to be a relative fall in the surplus value contained in the total value of commodities, ie less surplus value per commodity, despite the fact that the rate of exploitation has increased, ie that each worker is now giving the capitalist more surplus labour time and therefore producing more surplus value relative to their necessary labour. As Grossman says: “Technological progress means that since commodities are created with a smaller expenditure of labour their value falls. This is not only true of the newly produced commodities. The fall in value reacts back on the commodities that are still on the market but which were produced under the older methods, involving a greater expenditure of labour time. These commodities are devalued.”[67] The very possibility of crisis is contained in the contradictory nature of the commodity. It is at once an object of use, or use-value, and something that can be exchanged for another thing, an exchange-value. Since different commodities contain different magnitudes of value and therefore cannot be directly exchanged, the creation of money proceeds logically and historically from the contradiction. It is not the exchange of commodities which regulates the magnitude of their value, but the magnitude of their value which controls their exchange value. Exchange-value is the only form in which the value of commodities can be expressed. Someone will buy a use-value because they need or want it, but only if they can exchange it for something else, ie money. If they do not have enough money, they cannot buy it, and profit goes unrealised. But to focus on this final ‘surface level’ aspect is what produces the mistaken underconsumptionist theory, for it forgets or ignores where it arose from – the dual character of the commodity.

If Jim was back at the imaginary dinner party, trying to explain what he did for a living, he'd have tried to keep it simple: clearing involved everything that took place between the moment someone started at trade — buying or selling a stock, for instance — and the moment that trade was settled — meaning the stock had officially and legally changed hands. Most people who used online brokerages thought of that transaction as happening instantly; you wanted 10 shares of GME, you hit a button and bought 10 shares of GME, and suddenly 10 shares of GME were in your account. But that's not actually what happened. You hit the Buy button, and Robinhood might find you your shares immediately and put them into your account; but the actual trade took two days to complete, known, for that reason, in financial parlance as 'T+2 clearing.' By this point in the dinner conversation, Jim would have fully expected the other diners' eyes to glaze over; but he would only be just beginning. Once the trade was initiated — once you hit that Buy button on your phone — it was Jim's job to handle everything that happened in that in-between world. First, he had to facilitate finding the opposite partner for the trade — which was where payment for order flow came in, as Robinhood bundled its trades and 'sold' them to a market maker like Citadel. And next, it was the clearing brokerage's job to make sure that transaction was safe and secure. In practice, the way this worked was by 10:00 a.m. each market day, Robinhood had to insure its trade, by making a cash deposit to a federally regulated clearinghouse — something called the Depository Trust & Clearing Corporation, or DTCC. That deposit was based on the volume, type, risk profile, and value of the equities being traded. The riskier the equities — the more likely something might go wrong between the buy and the sell — the higher that deposit might be. Of course, most all of this took place via computers — in 2021, and especially at a place like Robinhood, it was an almost entirely automated system; when customers bought and sold stocks, Jim's computers gave him a recommendation of the sort of deposits he could expect to need to make based on the requirements set down by the SEC and the banking regulators — all simple and tidy, and at the push of a button.

It felt like fate when I first encountered the automated trading system that promised to transform small investments into substantial wealth over time. The marketing was aggressive, bombarding my social media feeds with images of people lounging on exotic beaches, driving fancy cars, and celebrating their newfound financial freedom. WhatsApp info:+12723328343 As a recent college graduate struggling to make ends meet, I was desperate for a way out of my financial rut, and the allure of easy money was too tempting to ignore. On a whim, I decided to take the plunge. I borrowed from my meager savings and even took out a small loan to fund my excitement. The rush I felt when signing up was like nothing I had ever experienced—an intoxicating thrill, like hopping onto a rollercoaster at full speed. At first, everything seemed to be going exactly as promised. My investment seemed to grow almost overnight, doubling and tripling in value.  My skepticism began to fade, replaced by a sense of confidence and hope for the future. I even shared my success with friends and family, excitedly telling them about the platform that was going to change my life. I imagined a future free from financial worries, a life of luxury and freedom, all thanks to this “revolutionary” trading system. But soon, a familiar sense of unease began to settle in. What had been an impressive surge in profits suddenly plateaued, and I found myself facing unexpected hurdles when trying to withdraw my funds. Pop-up messages about my “account needing an upgrade” and “market tightening” explained away the issues, but the discomfort grew. Still, I convinced myself that success required patience and continued to hold out hope that the system would recover. As weeks turned into months, my investment continued to dwindle. The once-promising account balance plummeted, and each attempt to reach customer support went unanswered. The promises of easy wealth had turned into an unsettling nightmare. Email info: Adwarerecoveryspecialist@auctioneer. net Desperate for answers, I began scouring the internet for any information or advice. That’s when I stumbled across reviews of ADWARE RECOVERY SPECIALIST , a service that seemed to specialize in helping people like me recover lost funds from fraudulent platforms. I felt a glimmer of hope as I read about others who had managed to retrieve their investments with the help of ADWARE RECOVERY SPECIALIST. Perhaps, after all, there was still a way out of this mess. I reached out to their team, and to my relief, they were able to assist me in recovering a portion of the money I thought I had lost for good. ADWARE RECOVERY SPECIALIST gave me the guidance and support I needed to navigate this complicated process, helping me regain control of a situation that had seemed hopeless. Their professionalism and expertise allowed me to salvage what I could, and for that, I am incredibly grateful.

By now, though, it had been a steep learning curve, he was fairly well versed on the basics of how clearing worked: When a customer bought shares in a stock on Robinhood — say, GameStop — at a specific price, the order was first sent to Robinhood's in-house clearing brokerage, who in turn bundled the trade to a market maker for execution. The trade was then brought to a clearinghouse, who oversaw the trade all the way to the settlement. During this time period, the trade itself needed to be 'insured' against anything that might go wrong, such as some sort of systemic collapse or a default by either party — although in reality, in regulated markets, this seemed extremely unlikely. While the customer's money was temporarily put aside, essentially in an untouchable safe, for the two days it took for the clearing agency to verify that both parties were able to provide what they had agreed upon — the brokerage house, Robinhood — had to insure the deal with a deposit; money of its own, separate from the money that the customer had provided, that could be used to guarantee the value of the trade. In financial parlance, this 'collateral' was known as VAR — or value at risk. For a single trade of a simple asset, it would have been relatively easy to know how much the brokerage would need to deposit to insure the situation; the risk of something going wrong would be small, and the total value would be simple to calculate. If GME was trading at $400 a share and a customer wanted ten shares, there was $4000 at risk, plus or minus some nominal amount due to minute vagaries in market fluctuations during the two-day period before settlement. In such a simple situation, Robinhood might be asked to put up $4000 and change — in addition to the $4000 of the customer's buy order, which remained locked in the safe. The deposit requirement calculation grew more complicated as layers were added onto the trading situation. A single trade had low inherent risk; multiplied to millions of trades, the risk profile began to change. The more volatile the stock — in price and/or volume — the riskier a buy or sell became. Of course, the NSCC did not make these calculations by hand; they used sophisticated algorithms to digest the numerous inputs coming in from the trade — type of equity, volume, current volatility, where it fit into a brokerage's portfolio as a whole — and spit out a 'recommendation' of what sort of deposit would protect the trade. And this process was entirely automated; the brokerage house would continually run its trading activity through the federal clearing system and would receive its updated deposit requirements as often as every fifteen minutes while the market was open. Premarket during a trading week, that number would come in at 5:11 a.m. East Coast time, usually right as Jim, in Orlando, was finishing his morning coffee. Robinhood would then have until 10:00 a.m. to satisfy the deposit requirement for the upcoming day of trading — or risk being in default, which could lead to an immediate shutdown of all operations. Usually, the deposit requirement was tied closely to the actual dollars being 'spent' on the trades; a near equal number of buys and sells in a brokerage house's trading profile lowered its overall risk, and though volatility was common, especially in the past half-decade, even a two-day settlement period came with an acceptable level of confidence that nobody would fail to deliver on their trades.

Cope’s bot can string together notes that weave in and out with the power of Beethoven or the finesse of Mozart. That a machine can produce

Let’s look at the case of Opsware. Why did I sell Opsware? Another good question is why didn’t I sell Opsware until I did? At Opsware, we started in the server automation market. When we received our first inquiries and offers for the server automation company, we had fewer than fifty customers. I believed that there were at least ten thousand target customers and that we had a decent shot at being number one. In addition, although I knew the market would be redefined, I thought that we could expand to networks and storage (data center automation) faster than the competition and win that market as well. Therefore, assuming 30 percent market share, somebody would have had to pay sixty times what we were worth in forward credit to buy out our potential. You won’t be surprised to find that nobody was willing to pay that. Once we grew to several hundred customers and expanded into data center automation, we were still number one and were more valuable stand-alone than any of the prior acquisition offers. At that point both Opsware and our main competitor, BladeLogic, had developed into full-fledged companies (worldwide sales forces, built-out professional services, etc.). This was significant, because it meant that a large company could buy one of us and potentially execute successfully (big enterprise companies can’t generally succeed with small acquisitions, because too much of the important intellectual property is the sales methodology, and big companies can’t build that).

This is what happened when I cofounded LinkedIn. The key business model innovations for LinkedIn, including the two-way nature of the relationships and filling professionals’ need for a business-oriented online identity, didn’t just happen organically. They were the result of much thought and reflection, and I drew on the experiences I had when founding SocialNet, one of the first online social networks, nearly a decade before the creation of LinkedIn. But life isn’t always so neat. Many companies, even famous and successful ones, have to develop their business model innovation after they have already commenced operations. PayPal didn’t have a business model when it began operations (I was a key member of the PayPal executive team). We were growing exponentially, at 5 percent per day, and we were losing money on every single transaction we processed. The funny thing is that some of our critics called us insane for paying customers bonuses to refer their friends. Those referral bonuses were actually brilliant, because their cost was so much lower than the standard cost of acquiring new financial services customers via advertising. (We’ll discuss the power and importance of this kind of viral marketing later on.) The insanity, in fact, was that we were allowing our users to accept credit card payments, sticking PayPal with the cost of paying 3 percent of each transaction to the credit card processors, while charging our users nothing. I remember once telling my old college friend and PayPal cofounder/ CEO Peter Thiel, “Peter, if you and I were standing on the roof of our office and throwing stacks of hundred-dollar bills off the edge as fast as our arms could go, we still wouldn’t be losing money as quickly as we are right now.” We ended up solving the problem by charging businesses to accept payments, much as the credit card processors did, but funding those payments using automated clearinghouse (ACH) bank transactions, which cost a fraction of the charges associated with the credit card networks. But if we had waited until we had solved this problem before blitzscaling, I suspect we wouldn’t have become the market leader.

Solo businesses that hit the million-dollar range typically fall into six categories: 1. E-commerce; 2. Manufacturing; 3. Informational content creation; 4. Professional services and creative businesses, such as marketing firms, public speaking businesses, and consultancies. 5. Personal services firms, offering expertise, such as fitness coaching; 6. Real estate. These companies use outsourcing, automation, mobile technology, or a combination of all three to build, operate, and grow their businesses.

Specifically, they argue that digital technology drives inequality in three different ways. First, by replacing old jobs with ones requiring more skills, technology has rewarded the educated: since the mid-1970s, salaries rose about 25% for those with graduate degrees while the average high school dropout took a 30% pay cut.45 Second, they claim that since the year 2000, an ever-larger share of corporate income has gone to those who own the companies as opposed to those who work there—and that as long as automation continues, we should expect those who own the machines to take a growing fraction of the pie. This edge of capital over labor may be particularly important for the growing digital economy, which tech visionary Nicholas Negroponte defines as moving bits, not atoms. Now that everything from books to movies and tax preparation tools has gone digital, additional copies can be sold worldwide at essentially zero cost, without hiring additional employees. This allows most of the revenue to go to investors rather than workers, and helps explain why, even though the combined revenues of Detroit’s “Big 3” (GM, Ford and Chrysler) in 1990 were almost identical to those of Silicon Valley’s “Big 3” (Google, Apple, Facebook) in 2014, the latter had nine times fewer employees and were worth thirty times more on the stock market.47 Figure 3.5: How the economy has grown average income over the past century, and what fraction of this income has gone to different groups. Before the 1970s, rich and poor are seen to all be getting better off in lockstep, after which most of the gains have gone to the top 1% while the bottom 90% have on average gained close to nothing.46 The amounts have been inflation-corrected to year-2017 dollars. Third, Erik and collaborators argue that the digital economy often benefits superstars over everyone else.

Without knowing it, you probably passed a variation of the Turing Test a few times today already. Yes, because a derivation of the imitation game is the “Completely Automated Public Turing test to tell Computers and Humans Apart” (CAPTCHA)

If MA gives the ability to replace virtually all the processes where a human being is not strictly necessary, in fact, no real automation will be reachable until hoteliers decide to hand over some tasks from human beings to machines

As personalized, 1:1 guest communication becomes the standard in our industry, pretending to stay in business without some level of marketing automation is entrepreneurial myopia

Thanks to increasingly accessible technologies and infrastructures, even the smallest bed and breakfast can choose whether and what to automate

It is crucial to realize that traditional, human customer service and automation complement each other, rather than compete against each other

Without standard, shared languages, open APIs and predefined protocols for cross-software integration, no effective automation will ever be possible in hospitality, especially with legacy software, where integrations remain expensive, slow and complex processes

faster. Now, when new technology is brought in, your coworkers have a different calculus. If they can produce 20 percent more per employee, why not decrease the workweek to twenty-eight hours? (For all sectors, legislation dictates the required workweek cannot exceed thirty-five hours.)13 There is still market competition, and firms still fail, but the grow-or-die imperative doesn’t apply when your enterprise’s goal is no longer to maximize total profits but rather to maximize profit-per-worker. And instead of a race to the bottom, there’s pressure to make sure janitorial and other “dirty jobs” are well compensated. In time, many of these tasks will be automated. People used to fear that machines would bring about mass unemployment, but now you and most others look forward to the social impact of technological innovations.14

Next!’ The judgement issues summarily from the review panel before Sexecutioner has even a chance to drop his first motherfucker. For a moment, the boys remain rooted to the spot in ungangsta-like attitudes of woundedness, mocked by the drumbeat that is still thumping around them; then, unplugging the ghettoblaster, they clamber down and make the walk of shame to the exit. ‘What in God’s name was that?’ the Automator says as soon as they have left. Trudy peers down at her clipboard. ‘ “Original material.” ’ ‘Our old friend original material,’ the Automator says grimly. ‘I’ve had some plumbing mishaps that sounded a little like those guys.’ ‘It did have a certain rough-hewn vitality,’ Father Laughton moderates. ‘I’ve said it before, Padre, this concert’s not about rough-hewn. It’s not about “doing your best”. I want professionalism. I want pizazz. I want this concert to put the Seabrook name out there, tell the world what we’re all about.’ ‘Education?’ ‘Quality, damn it. A brand right at the top of the upper end of the market. God knows that’s not going to be easy. I’ve given serious thought to bussing in other kids, talented kids, just so we don’t have to drop the curtain after half an hour –

They wanted the benefits of direct response copy in their business: they wanted to leverage their time, energy and money, while marketing one-to-many and automating their sales and marketing to free up their time and allow them to reach more people than they could without it… But they hated how it made them feel. Inauthentic. Hype-y. Sales-y. Slime-y. Like a used car salesman.

Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

Especially in Europe, the introduction of GDPR has undeniably added an additional level of complexity to effective automation and, equally crucial, is the problem of human error during data entry: If the information entered into the systems is incomplete, inaccurate or inconsistent, in fact, it becomes useless for automation purposes. Or, even worse, dangerous, as hoteliers would end up making assumptions that have no basis.

Grazie al mind-uploading o all’immortalità digitale, un ospite defunto potrebbe continuare a scrivere recensioni, oppure a postare foto dei suoi soggiorni mentre era in vita. L’hotel dovrebbe rispondere a questi commenti? Oppure inviargli gli auguri di compleanno o le condoglianze ogni volta che ricorre la data della morte? È un bel mal di testa per i CRM e per la marketing automation: quanto loyal può essere un ospite trapassato? Può ancora essere un brand ambassador? Se in vita ha parlato molto del tuo hotel sui suoi social, allora potrebbe continuare a farlo da morto.

This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.

Why people churn Most churn occurs at the time of the sale. In 2017, my churn was over 60%. I signed up customers who were a poor fit for my solution. Many customers thought Connex was an inventory management tool and others thought we built custom software. We had no onboarding process and we expected users to figure out Connex on their own. Many users failed to choose the right settings, since they are small business owners and not accountants. Since the software failed to work as expected, they quickly cancelled. From experience, most users churn in the first 30 days. It is critical that you reach out to them and ensure the software works correctly. My staff performs an onboarding and ensures Connex works to the customer’s satisfaction. Users churned because my software lacked features that it has today. We noticed a dramatic shift in churn, after implementing a sales and marketing process. In the first quarter of 2021, we had only a handful of refunds out of 100 purchases. People churn because they fail to achieve their desired result or experience. People buy Connex because they want accurate financial information, better order fulfillment, or protection from overselling. If the sync were inaccurate and unreliable then we would lose customers. In other cases, your software may become superfluous. For example, I used the excellent meeting automation tool Calendly. When I migrated to HubSpot, however, I no longer needed Calendly because HubSpot offered meeting automation as part of its suite of offerings. Even if your tool works, your customer’s desired situation or desired outcomes may change. I churned from my ticketing system because I was unhappy with the customer service and experienced technical issues with their chat and phone system. Companies often tack on features that are nowhere near as usable as their core offering.

Why I was successful In 2014, I was 29 years old. I was selling against companies that had been in the QuickBooks integration business for five years or more. Some competitors had millions of dollars in venture capital. Their websites were the equivalent of a five-star hotel. These competitors had large sales and marketing teams that could easily show the value of their solution. The companies had a team of programmers. I had my pajamas, a corded phone, a cookie-cutter website, and a laptop computer. I signed up about three hundred new accounts because I was the first person to pick up the phone and I spoke English. I could answer questions on what my software can automate. If there was a problem, I called the customer and we did a screenshare. You need to talk to customers on the phone and you cannot email customers to death. Many customers later told me they reached out to competitors and received no response to sales or support inquiries. These customers said they chose my company because I was responsive. Potential customers want to speak to someone in their area who understands their language. You need to connect with them. Many people signed up for Connex because they liked me over the phone. We attract many small business owners. I had similar interests and I owned a business, just like them.

Learn the power of “no” I was so busy working inside my company that I failed to work on it. I was answering support tickets, posting app store listings, making landing pages, writing low-level code, and doing other tasks that employees could’ve performed. If you can delegate work, do it. I should have said “no” to busywork and “yes” to growing my company. When I delegated work, I had time for professional development. Reading books on business and focusing on professional development were two reasons why my company grew into a mid-sized company. Too many founders focus on their day-to-day responsibilities. When I started, my issues were funding and product development. When my company became mid-sized, the issues centered around alignment, time-management, technical support, marketing, and automation. I learned how to set boundaries with customers and employees. Neglecting the power of “no” was why my company failed to reach the next level at certain stages. My boss at the software company was overwhelmed because he tried to perform the same work as his employees. He had hundreds of emails that remained unread. He once said he would wake up at 4am, but he still failed to complete all his tasks. Unlike him, I decided which problems were the most important to focus on. I transformed from a technician to an executive with a grand vision for the company.

And while seeking out the opinions and perspectives of people like ourselves may lead to a more personal and familiar buying experience, what’s even more amazing is the impact those trusted sources have on conversion rates. B2B sales cycle data from Salesforce demonstrates that, when it comes to lead conversion, the interest that originates from customer and employee referrals converts to deals at rates fifty times higher than email campaigns!9 Furthermore, data from marketing automation giant Marketo indicates that leads originating from referrals convert to opportunities at rates of four times the average, and similar to the next three highest-converting lead sources combined (those being partner, inbound, and marketing-generated).10 My personal experience over the years greatly corroborates these statistics. For example, when I started my own sales practice, Cerebral Selling, I needed to have a logo designed. Around the same time, my friend had recently had a nice logo designed for his business. I asked him who he used, he told me, and I just did the same. No further research or investigation required. A short time later, I wanted to head out of town with my wife for an overnight trip to the beautiful Niagara wine region of Ontario to celebrate our anniversary. I didn’t know where to stay or which restaurant to go to, so instead of sifting through pages of online content and reviews, I asked a friend who runs a vineyard in the region. When he gave me his recommendations, I simply booked the places he told me. No questions asked. Were there better places to stay and eat? Potentially. Were there other creative design shops that could have generated equally if not more spectacular logos? More than likely. Do I care? Absolutely not! I love my logo and had a great anniversary outing, and feel secure in my decisions around both because of the feeling I received by selecting recommendations from people I trust. Both experiences are perfect examples of the prescriptive-led sales cycle we spoke about in chapter 2. This means that when it comes to your selling motion, one of the most unobtrusive, empathetic, and authentic ways to convert prospective buyers is simply to surround them with like-minded customers who love you.

To begin the discussion of the Tipping Point, I’ll start with a prominent strategy, “Invite-Only,” that is often used to suck in a large network through viral growth. Another method to tip over a market is with a “Come for the Tool, Stay for the Network” strategy. Take Dropbox, for instance, which is initially adopted by many people for file backup and keeping files synced up between work and home computers—this is the tool. But eventually, a more advanced and stickier use case emerges to share folders with colleagues—this is the network. And if that doesn’t work, some products can always just spend money to build out their network, with a strategy of just “Paying Up for Launch.” For many networked products that touch transactions like marketplaces, teams can just subsidize demand and spend millions to stimulate activity, whether that’s in paying content creators for your social network, or subsidizing driver earnings in rideshare. If the hard side of the network isn’t yet activated, a team can just fill in their gaps themselves, using the technique of “Flintstoning”—as Reddit did, submitting links and content until eventually adding automation and community features for scale. In the end, all of these strategies require enormous creativity. And to close out the Tipping Point section of the book, I introduce Uber’s core ethos of “Always Be Hustlin’”—describing the creativity and decentralized set of teams, all with its own strategies that were localized to each region. Sometimes adding the fifth or one hundredth network requires creativity, product engagements, and tactical changes. In the goal of reaching the Tipping Point, teams must be fluid to build out a broad network of networks.

A good chief executive is essentially a hard-to-automate decision engine, not unlike IBM’s Jeopardy!-playing Watson system. They have built up a hard-won repository of experience and have honed and proved an instinct for their market. They’re then presented inputs throughout the day—in the form of e-mails, meetings, site visits, and the like—that they must process and act on. To ask a CEO to spend four hours thinking deeply about a single problem is a waste of what makes him or her valuable. It’s better to hire three smart subordinates to think deeply about the problem and then bring their solutions to the executive for a final decision.

Phase 1: Discovery 1. Define the problem statement What is the challenge that will be solved? The problem statement is defined at this step and becomes the foundation of the project. Here is a sample problem statement: The company has more than one hundred thousand email addresses and has sent more than one million emails in the last twelve months, but open rates remain low at 8 percent, and sales attributed to email have remained flat since 2018. Based on current averages, a 2 percentage-point lift in email open rates could produce a $50,000 increase in sales over the next twelve months. It’s important to note that a strong and valid problem statement should include the value of solving the problem. This helps ensure that the project is worth the investment of resources and keeps everyone focused on the goal. 2. Build and prioritize the issues list What are the primary issues causing the problem? The issues are categorized into three to five primary groups and built into an issues tree. Sample issues could be: •​Low open rates •​Low click rates •​Low sales conversion rates 3. Identify and prioritize the key drivers. What factors are driving the issues and problem? Sample key drivers could include: •​List fatigue •​Email creatives •​Highly manual, human-driven processes •​Underutilized or missing marketing technology solutions •​Lack of list segmentation •​Lack of reporting and performance management •​Lack of personalization 4. Develop an initial hypothesis What is the preliminary road map to solving the problem? Here is a sample initial hypothesis: AI-powered technologies can be integrated to intelligently automate priority use cases that will drive email efficiency and performance. 5. Conduct discovery research What information can we gain about the problem, and potential solutions, from primary and secondary research? •​How are talent, technology, and strategy gaps impacting performance? •​What can be learned from interviews with stakeholders and secondary research related to the problem? Ask questions such as the following: •​What is the current understanding of AI within the organization? •​Does the executive team understand and support the goal of AI pilot projects?

The dimensions impacting your team’s structure the most, and the ones you must most carefully consider include: The maturity of the market: the less mature the market (read: the more unique your product category is), the more evangelizers you need, as opposed to the next point: The maturity of your product: the less mature the product, the more hand-holding the customer needs. The maturity of your deployment process: the easier it is for the customer to get on-boarded and become self-sufficient, the more streamlined your organization can be (fewer roles, less complexity and fewer people touching the customer). The size of your customer base: the more customers you have to manage, the more important it is to move quickly towards automating activities in order to control costs. The extent of the Land-and-Expand strategy: the more potential for expansion there is with your customers, the more involved you want to be with them over time and the more quickly you would want to move commercial responsibilities over from Sales to the Customer Success organization.

What is a targeted email list? How to Build an Email List? A/B testing in email marketing? What is Automated Direct Email?

Automate what you can, but stay authentic where it matters.

We have to balance authenticity with automation.

Simple Fast Funnels may be the new kid on the block when it comes to a complete bumper to bumper CRM system, but it’s a force to be reckoned with! Business owners are switching over right and left and I’m going to outline 10 of the best features of Simple Fast Funnels so you can see what all the buzz is about! Funnel builder: Simple Fast Funnels has easy intuitive software so you can build your own landing pages, funnels, websites, sales pages etc. No developer needed, everything included and simple to use Email Software: Instead of paying hundreds or thousands per month to send emails, this software does it for you! You can have your entire email list automated or send emails on the fly, whatever fits the bill for you, they’ve got you covered and it’s so easy to track your email results so you can modify and make improvements as you go. Online Membership Area: Now, for no additional fees that lot’s of CRM software likes to charge, you can build glorious membership areas for your clients. You can control timing on video releases, give access for certain time periods upset packages… whatever your business looks like, if you can dream it, you can build it in the membership area. Survey and quiz generator: Ramp up your lead capture game to grow your customer list! One of the best ways to get leads is to get your customers talking about themselves. Not only do people love to take surveys and quizzes, but it can help you gather information about your clients to serve them better and grow your sales! SMS Marketing Software: If you’re not messaging your customers, you’re missing out, and if you are messaging your customers you’re probably over paying. Amazing automated intuitive SMS marketing can make your life much easier and allow you to reach your customers in more ways. Being where your customers are more present is always good for business. Simple Fast Funnels helps you get the cheapest SMS rates around and it automatically integrates into the system for your unified messages. Appointment booking: Another expensive thing you used to have to pay for and try to get to work properly with your website AND look decent is also built right in. Now, without leaving Simple Fast Funnels, you’re able to capture the lead, follow up with the lead all over the place, engage with them, build trust, book appointments, schedule calls and even send them automated text reminders. E com Purchases: Directly on your website, you’ll be able to take payments. No more invoices sent from other platforms, everything buttoned up nice and clean. Unified messaging: From now on, whether a client emails, texts, calls etc, it all shows up in one place at your end. This might not seem like a big deal, but it’s a HUGE pain to have to follow customers about and keep track of conversations. Now you see all your communication with customers in a neat little area. Blogs: Blogs these days can really help your marketing efforts across the board, and of course your blogs will be a perfect fit in your simple fast funnel account. Analytics: Data tracking when you’re dealing with features on various platforms is a nightmare. If you capture a lead on a Word press landing page, send it an email software like Keep, mail chimp or whatever, send them to a new website to schedule calls and another to make purchases… How could you possibly expect to get good customer data? Hosting all of your “business” in one location makes tracking flawless. The more customers you have the more data you need to be efficient. Cheers to making it easy. All that software and that’s just the top 10, guys there’s more. Simplefastfunnels.com also lets you have a 2 week free trial. Don’t take anyone word for anything. Go try it for yourself.

Unlock the potential of AI technology from a business standpoint with Naxtre's guide on building intelligent AI models. Gain valuable insights into harnessing AI for enhanced decision-making, automation, and competitive advantage in today's dynamic market landscape.

Each study has concluded the same thing: almost all of our jobs will overlap with the capabilities of AI. As I’ve alluded to previously, the shape of this AI revolution in the workplace looks very different from every previous automation revolution, which typically started with the most repetitive and dangerous jobs. Research by economists Ed Felten, Manav Raj, and Rob Seamans concluded that AI overlaps most with the most highly compensated, highly creative, and highly educated work. College professors make up most of the top 20 jobs that overlap with AI (business school professor is number 22 on the list ). But the job with the highest overlap is actually telemarketer. Robocalls are going to be a lot more convincing, and a lot less robotic, soon. Only 36 job categories out of 1,016 had no overlap with AI. Those few jobs included dancers and athletes, as well as pile driver operators, roofers, and motorcycle mechanics (though I spoke to a roofer, and they were planning on using AI to help with marketing and customer service, so maybe 35 jobs). You will notice that these are highly physical jobs, ones in which the ability to move in space is critical. It highlights the fact that AI, for now at least, is disembodied. The boom in artificial intelligence is happening much faster than the evolution of practical robots, but that may change soon. Many researchers are trying to solve long-standing problems in robotics with Large Language Models, and there are some early signs that this might work, as LLMs make it easier to program robots that can really learn from the world around them.

Digital marketing expert Angela Liberatore stresses the importance of data analytics, which lets businesses track how well their digital campaigns are doing and make changes if needed. Conversion Rate Optimization (CRO) focuses on improving the website to turn visitors into customers. Mobile marketing makes sure content works well on smartphones and tablets, as more people use these devices. Lastly, marketing automation tools help save time by automatically sending emails or posting on social media. All of these parts together create a strong digital marketing strategy that helps businesses grow, engage customers, and increase sales in today’s digital world. Digital marketing includes several important parts that work together to help businesses reach and connect with their audience online. One part is search engine optimization (SEO), which helps websites show up higher on search engines like Google. Content marketing is another part, where useful things like blog posts, videos, and infographics are made to attract and interest customers. Social media marketing uses platforms like Facebook, Instagram, and LinkedIn to increase brand awareness and build a community. Email marketing allows businesses to send personalized messages directly to their audience. Paid advertising, like Pay-Per-Click (PPC) ads, brings quick traffic to websites. Influencer marketing uses the popularity of influencers to promote products or services.

Automation, big data and mobile are massive trends that will change the way we communicate from a Content Marketing perspective for years to come.

Determine Keywords Use Compete PRO to find out which keywords drive traffic in an industry category; then create a search with them in Traackr to find the influencers. Validate Use the automated tools as a stepping-stone in the influencer discovery process, read their blogs, and validate the data to build relationships with influencers. Show Commitment Influencer identification is not a one-time thing. You need to do it regularly. It is a marriage, not a date. Welcome Surprises Don’t discount the “little” guy. Some of their one-to-one interactions are stronger than those of broadcasters. It takes only a pebble to start an avalanche. Combine Tools Use Google to find the most relevant keywords, Traackr to gain insights, and Klout to validate Twitter. Value Relevance Over Popularity Choose relevance over popularity. The most popular influencers on social media are often the least helpful in a social media campaign. Study Understand the influencer’s core audience. Combine Human and Machine Tools and technology are a good place to start, but we always need the human element.

Apart from technological aspects businesses should always have the human value.

If the steam engine freed human beings from feudal bondage to pursue material self-interest in the capitalist marketplace, the Internet of Things frees human beings from the market economy to pursue nonmaterial shared interests on the Collaborative Commons. Many—but not all—of our basic material needs will be met for nearly free in a near zero marginal cost society. Intelligent technology will do most of the heavy lifting in an economy centered on abundance rather than scarcity. A half century from now, our grandchildren are likely to look back at the era of mass employment in the market with the same sense of utter disbelief as we look upon slavery and serfdom in former times. The very idea that a human being’s worth was measured almost exclusively by his or her productive output of goods and services and material wealth will seem primitive, even barbaric, and be regarded as a terrible loss of human value to our progeny living in a highly automated world where much of life is lived on the Collaborative Commons.

In some circumstances manual testing becomes more efficient than automated testing; it takes much more time to generate automated test scripts compared to running test cases manually. Especially in time-sensitive, fast-track projects, this results in a weird situation of coding around bugs instead of finding and fixing them. Project managers and QA managers should consider this issue as a project risk. They should mitigate this risk by determining the right level of test automation. Shelfware

If, if we get our heads straight about money, I predict that by ad 2000, or sooner, no one will pay taxes, no one will carry cash, utilities will be free, and everyone will carry a general credit card. This card will be valid up to each individual’s share in a guaranteed basic income or national dividend, issued free, beyond which he may still earn anything more that he desires by an art or craft, profession or trade that has not been displaced by automation. (For detailed information on the mechanics of such an economy, the reader should refer to Robert Theobald’s Challenge of Abundance and Free Men and Free Markets, and also to a series of essays that he has edited, The Guaranteed Income. Theobald is an avant–garde economist on the faculty of Columbia University.)

Concurrent with the decline of manufacturing, the latter half of the twentieth century oversaw another shift. While earlier office technologies had supplemented workers and increased demand for them, the development of the microprocessor and computing technologies began to replace semiskilled service workers in many areas – for example, telephone operators and secretaries.20 The roboticisation of services is now gathering steam, with over 150,000 professional service robots sold in the past fifteen years.21 Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

The reason is clear from the market share numbers. In the 1999 Euromoney poll, almost 48 per cent of market share was held by banks outside the top ten; by the 2006 poll, that number had halved to about 24 per cent. These banks did not have a business large enough to justify spending the money needed to automate. In fact, the collective market share decline of smaller banks masked a shift in behaviour that was even worse news for the career prospects of the traders who worked in them. Increasingly, FX giants like Deutsche would give these banks access to systems like Autobahn or the equivalent. Their salespeople would simply quote the Deutsche Bank (or Citibank, UBS or Barclays) rate to their customers with a small spread to offset the credit risk. No need for expensive traders. In effect, the smaller banks had shifted from ‘manufacturing’ FX rates to being distributors to clients with whom they had a strong relationship based on regional expertise or history. ‘You guys just sucked us dry,’ complained an old friend and adversary at the time – he was in his late thirties, from a smaller bank, and we were at his ‘leaving-the-industry’ drinks. ‘But,’ he added resignedly, with a slightly drunken grin, ‘I guess that’s just that old whore Capitalism for you.’ He became a maths teacher.

During the two-day I/O convention, Google will have more than 600 live-streaming events. There will be sessions on family-friendly apps, on extending Android into the car and on home automation. Some analysts expect Google to address the future of Google Glass, a wearable device that struggled to win public support. A Google spokeswoman declined to say what the keynote speech would discuss. But Nguyen said he believes Android will remain a major player because of its reach in emerging markets - and its affordability. Not all markets have customers who can afford the iPhone, he said.

Kiip’s move comes at a time when more and more data on people’s actions is becoming available as wearable devices, Internet-connected home automation equipment, and cars with integrated data connections head to market. Those new data streams could form the basis for many new services and products, but they also bring new privacy concerns. Ads tailored to driving behavior will be possible thanks to a partnership between Kiip and fellow startup Mojio. It expects to launch a $149 device this summer that plugs into a car’s diagnostic port and streams vehicle data to a smartphone app to help users track their driving, their fuel economy, and their vehicle’s maintenance status. Kiip will use data from that device to target promotions inside the Mojio app.

s s i o n o f R a t i o n a l S o f t w a r e C o r p o r a t i o n i s t o e n s u r e t h e s u c c e s s o f c u s t o m e r s c o n s t r u c t i n g t h e s o f t w a r e s y s t e m s t h a t t h e y d e p e n d o n . We enable our customers to achieve their business objectives by turning software into a source of competitive advantage, speeding time-to-market, reducing the risk of failure, and improving software quality. We fulfill our mission with the Rational ApproachTM, a comprehensive softwareengineering solution consisting of three elements: • A configurable set of processes and techniques for the development of software, based on iterative development, object modeling, and an architectural approach to software reuse. • An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle. • Technical consulting services delivered by our worldwide field organization of software engineers and technical sales professionals. Our customers include businesses in the Asia/Pacific region, Europe, and North America that are leaders in leveraging semiconductor, communications, and software technologies to achieve their business objectives. We serve customers in a diverse range of industries, such as telecommunications

o n o f R a t i o n a l S o f t w a r e C o r p o r a t i o n i s t o e n s u r e t h e s u c c e s s o f c u s t o m e r s c o n s t r u c t i n g t h e s o f t w a r e s y s t e m s t h a t t h e y d e p e n d o n . We enable our customers to achieve their business objectives by turning software into a source of competitive advantage, speeding time-to-market, reducing the risk of failure, and improving software quality. We fulfill our mission with the Rational ApproachTM, a comprehensive softwareengineering solution consisting of three elements: • A configurable set of processes and techniques for the development of software, based on iterative development, object modeling, and an architectural approach to software reuse. • An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle. • Technical consulting services delivered by our worldwide field organization of software engineers and technical sales professionals. Our customers include businesses in the Asia/Pacific region, Europe, and North America that are leaders in leveraging semiconductor, communications, and software technologies to achieve their business objectives. We serve customers in a diverse range of industries, such as telecommunications, banking and financial services, manufacturing, transportation, aerospace, and defense.They construct software applications for a wide range of platforms, from microprocessors embedded in telephone switching systems to enterprisewide information systems running on company-specific intranets. Rational Software Corporation is traded on the NASDAQ system under the symbol RATL.1

Algorithms have already written symphonies as moving as those composed by Beethoven, picked through legalese with the deftness of a senior law partner, diagnosed patients with more accuracy than a doctor, written news articles with the smooth hand of a seasoned reporter, and driven vehicles on urban highways with far better control than a human.

Willpower comes from the conscious mind, the weakest part of our brain. This

Email marketing is like driving a car. You have to learn how to do it, but once you’ve done so it’s quite easy to take for granted. The litany of technology advances created by email service providers (ESPs) to make sending, tracking, targeting, and automating email easier can make you feel like you’re behind the wheel of a high-tech, luxury sports car. But successful email marketing—like all marketing, really—isn’t about the car, it’s about the driver.

Outsourcing company providing services to mid-market companies in payroll, benefits business improvement services, enabling organizations to optimize performance and position themselves for the future.

With marketing, with customer acquisition, with accounting, I first look and say, "Hey, what's taking people's time? What can we automate?" If I can't automate it, do I really need it to be done? If I do need it to be done, all right, then we'll open a req.

Greenfield DevOps projects are often pilots to demonstrate feasibility of public or private clouds, piloting deployment automation, and similar tools. An example of a greenfield DevOps project is the Hosted LabVIEW product in 2009 at National Instruments, a thirty-year-old organization with five thousand employees and $1 billion in annual revenue. To bring this product to market quickly, a new team was created and allowed to operate outside of the existing IT processes and explore the use of public clouds. The initial team included an applications architect, a systems architect, two developers, a system automation developer, an operations lead, and two offshore operations staff. By using DevOps practices, they were able to deliver Hosted LabVIEW to market in half the time of their normal product introductions.

To achieve market orientation, we won’t do a large, top-down reorganization, which often creates large amounts of disruption, fear, and paralysis. Instead, we will embed the functional engineers and skills (e.g., Ops, QA, Infosec) into each service team, or provide their capabilities to teams through automated self-service platforms that provide production-like environments, initiate automated tests, or perform deployments.

Algorithmic profits Algorithmic marketing is allowing companies to do things they couldn’t do before, and some early signs show it can deliver big value, especially in financial or information services. In North America, Amazon.com grew 30 to 40 percent, quarter after quarter, throughout the United States’ 2008-2012 recession, while other major retailers shrank or went out of business. From 2006 to 2010, Amazon spent 5.6 percent of its sales revenue on IT, while rivals Target and Best Buy spent 1.3% and 0.5%, respectively. That investment and focus has yielded increasingly sophisticated recommendation engines that deliver over 35 percent of all sales, an automated e-mail/customer service systems (90 percent are automated, versus 44 percent for the average retailer) that are a key component of its best-in-class customer satisfaction, and dynamic pricing systems that crawl the Web and react to competitor pricing and stock levels by altering prices on Amazon.com, in some cases every 15 seconds.

Does It “Really” Need to Be an Email? By this point, you’ve probably figured out that I love email. Well, in spite of my love for email marketing, not every communication needs to be an email. In fact, there are times when emails really aren’t the best solution. So, if not email, what else? Other solutions include: In-App messages like popups, sidebars, site notifications, chat messages, browser or push notifications, desktop notifications, text messages, and even product tours and onboarding flows. Email is great when the user isn’t currently using your product. It’s great to drive them back in, but when they are right there using your product, you can’t expect them to be checking their emails at the same time. Before setting up a new email campaign, ask yourself if email is the best way to achieve your objective and drive the user behavior you seek. Maybe a popup or site notification would be more effective. Users can’t typically unsubscribe from popups, sidebars, site notifications, chat messages, or onboarding flows. They are usually better embedded into your app and more contextual. Because of this, they tend to reach users more directly than email can. That means that they can often be more effective to influence user behaviors. Push notifications, desktop notifications, and text messages still have some novelty to them. They can also reach users in different contexts from email. Although sometimes it’s better to use a different communication type, sometimes combining email with other options is the best way to go. For this reason, it’s important to consider the mix. For example, an email followed on-site by an In-App message, or an onboarding flow followed by an email summing up the process may be more effective than a single email. It will allow you to follow up on user actions, and make it really clear what needs to get done. By breaking down the steps one at a time, there’s more chances for users to learn. At LANDR, we often followed feature launch emails on-site with In-App messages. This helped to keep communications simple and goal-focused (one goal per message). The email was about getting people in the product, while the In-App message was about getting them to engage with the product. This approach allows you to evaluate and optimize each step of the process independently. Automation platforms like Intercom, ActiveCampaign and HubSpot generally allow you to combine messaging types. If your platform doesn’t currently have site messaging or onboarding functionalities, you may have to use multiple tools in conjunction in order to maximize results. This will make it trickier to track pacing, sequencing, and goals but it isn’t impossible. You also need to consider tracking effort when adding new communication types to your mix. As your program becomes more complex, it can be easy to lose track of the overall user experience: Are your users getting spammed? Are you creating a disjointed customer experience? Test things from your users’ perspective. Keep an eye out for social media messages and support requests as you do. In the next chapter we will look at setting up automations to minimize issues and maximize outcomes.

Uber’s chief innovation is not that its app summons a car to your location with a smartphone and a GPS signal. It is that it used this moderately novel configuration of technology to argue that the old rules did not apply whenever it brought its taxi business to a market that already had a regulated taxi code.

When a loan officer complains about “inventory” or “their clients losing out on offers,” a humble suggestion. Hand the loan officer Census data and a mirror. Why build a home loan origination platform as a mortgage lender to service only a small fraction of the market - I.e.: new home construction - comparing sales of newly-built homes to sales of existing homes (resales)? Three answers. 1. Lower inventory = lower commission checks for loan officers, 2. Financing what the market actually needs is usually a good idea for salespeople, 3. Less competition - the loan officer’s job will not succumb to automation.

Convertrr is an all-in-one marketing automation platform that simplifies and enhances business growth. It offers a comprehensive suite of tools for small businesses, including a website and landing page builder, social media management, email marketing, text message marketing, SEO, and paid advertising management. Convertrr aims to streamline sales and marketing efforts, allowing businesses to quickly capture leads, communicate effectively, and convert prospects into sales.

There are many ways to ask customers why they churn. At Drip, any customer that canceled their account received an automated email within ten minutes of canceling. It said, “Hello, I’m one of the founders of Drip, and I’d love to hear why you decided to cancel your account.” We got a wide range of responses. Some people would tell us they were shutting their business down—which isn’t something we could fix. Others would say they switched to a cheaper tool because they didn’t need our more powerful product. Others switched to a competitor because they needed a feature we didn’t have. The key to getting useful data points out of an exit survey is to keep it short and direct, create a connection (“I’m the founder, and your feedback would help me build a better product!”), and ask for a reply—even if it’s just four or five words. This can give you a glimpse into what potential customers want, which helps guide product decisions. More often than not, you can get a quick win with churn using tactics like an email welcome sequence and in-app onboarding tools to make sure new users see value early. However, pushing churn below 2% or 3% is a long road that unfolds slowly as you refine your marketing and sales language, learn more about your ideal customer, and add more features those customers love (we covered that in the Market chapter).

The future of marketing lies at the intersection of AI and human creativity. Those who harness the power of data and automation will not only thrive but lead in the new era of innovation.” — Aryan Zarnikhi, The Rise of AI in Marketing: Unleashing the Power of Data and Automation

MKT SOFTWARE,.JSC is a leading developer of automated multi-channel marketing software solutions that enable businesses of all kinds to succeed in the rapidly changing era of Technology 4.0. Our full array of software products provides unrivaled convenience, professionalism, and an unwavering commitment to EFFICIENCY - SPEED - EASY TO USE.

Putting the 1860s and the 1960s together, white men of the South seemed to have lived through one long deep story of being shoved back in line. If in the nineteenth century the big planters had reduced the lot of the poor white farmer, twenty-first-century corporations had gone global, automated, moved plants to cheaper workers or moved cheaper workers in, and deftly remained out of sight over the brow of the hill. Some 280 of the most profitable American companies had dodged taxes on half of their profits, according to a 2011 study, but in the history-soaked deep story, you couldn’t see that. You were left to imagine it, to feel you couldn’t do anything about it. And to make matters worse, it was your sector, the free market, that was letting you down. Meanwhile, white wages leveled or sank and welfare expenditures rose.

Aren’t fears of disappearing jobs something that people claim periodically, like with both the agricultural and industrial revolution, and it’s always wrong?” It’s true that agriculture went from 40 percent of the workforce in 1900 to 2 percent in 2017 and we nonetheless managed to both grow more food and create many wondrous new jobs during that time. It’s also true that service-sector jobs multiplied in many unforeseen ways and absorbed most of the workforce after the Industrial Revolution. People sounded the alarm of automation destroying jobs in the 19th century—the Luddites destroying textile mills in England being the most famous—as well as in the 1920s and the 1960s, and they’ve always been wildly off the mark. Betting against new jobs has been completely ill-founded at every point in the past. So why is this time different? Essentially, the technology in question is more diverse and being implemented more broadly over a larger number of economic sectors at a faster pace than during any previous time. The advent of big farms, tractors, factories, assembly lines, and personal computers, while each a very big deal for the labor market, were orders of magnitude less revolutionary than advancements like artificial intelligence, machine learning, self-driving vehicles, advanced robotics, smartphones, drones, 3D printing, virtual and augmented reality, the Internet of things, genomics, digital currencies, and nanotechnology. These changes affect a multitude of industries that each employ millions of people. The speed, breadth, impact, and nature of the changes are considerably more dramatic than anything that has come before.

The casinos introduced technology to stop the counters. Cameras and observers followed the action through one-way mirrors above the tables. Currently, this is automated, incorporating face-recognition software. RFID chips keep track of a player’s bets, and machines can track the cards and check the play of the hands, searching for patterns characteristic of counters. Machines that continually reshuffle the cards proved to be a perfect defense without slowing the game down, but the casinos pay fees to the vendors of the machines. Meanwhile the card counters were developing more techniques for winning.

If you need help getting started, here’s an example: Hi John, I saw you’re selling a PDF on your website using PayPal, and manually emailing everyone who buys the PDF. I built a service called Gumroad, which basically automates all of this. I’d love to show it to you, or you can check it out yourself: gumroad.com. Also happy to just share any learnings we see from creators in a little PDF we have. Let me know! Best, Sahil, founder and CEO of Gumroad Don’t copy-paste. Each email will refine your ability to write better emails. Done right, you’re not only educating customers, but educating yourself about what you can do better. It’s a learn-learn situation. Manual “sales” will be 99 percent of your growth in the early days, and word of mouth will be 99 percent of your growth in the latter days. It’s not a glamorous answer, but it’s true. Things like paid marketing, SEO, and content marketing can come later, once you have a hundred customers, once you’re profitable, and once your customers are referring more customers to you. Only then!

I have said that this new development [automation] has unbounded possibilities for good and for evil. For one thing, it makes the metaphorical dominance of the machines, as imagined by Samuel Butler, a most immediate and non-metaphorical problem. It gives the human race a new and most effective collection of mechanical slaves to perform its labor. Such mechanical labor has most of the economic properties of slave labor, although, unlike slave labor, it does not involve the direct demoralizing effects of human cruelty. However, any labor that accepts the conditions of competition with slave labor accepts the conditions of slave labor, and is essentially slave labor. The key word of this statement is competition. It may very well be a good thing for humanity to have the machine remove from it the need of menial and disagreeable tasks, or it may not. I do not know. It cannot be good for these new potentialities to be assessed in the terms of the market, of the money they save; and it is precisely the terms of the open market, the “fifth freedom,” that have become the shibboleth of the sector of American opinion represented by the National Association of Manufacturers and the Saturday Evening Post. I say American opinion, for as an American, I know it best, but the hucksters recognize no national boundary.

In my company, we have the CEO send out an automated email message notifying everyone in the upline every time a new recruit joins somewhere in their downline. This serves as a constant reminder that their business is growing (often in spite of them).

John, Heard about you while looking up Marketing Directors for major hospitals and love your backstory - incredible that you work as a volunteer firefighter as well. I specialize in iOS development for the healthcare industry. Recently, we built an app for Johns Hopkins that has increased their patient happiness rating by 75% through an automated dashboard. Interested in improving your patient happiness at Baylor? Let me know and I’ll send over some times to chat. Thanks, Alex

Kitanai, kiken, kitsui” è un modo di dire Giapponese, traducibile in “sporchi, pericolosi e umilianti” e si riferisce a quei lavori non qualificati e sottopagati che pochi sono disposti a fare. Fino a poco tempo fa, l’utilizzo di lavoratori non biologici era riservato quasi esclusivamente a queste 3K; tuttavia, negli ultimi anni, si è consolidata una nuova tendenza che vede il fenomeno dei robot, intelligenza artificiale e service automation sempre più in concorrenza con i lavoratori umani per impieghi più specializzati e meglio pagati.

Marketing automation technology acts as both a web-capture platform and an emailing hub, while also tying directly into sales opportunities and tracking in your CRM.

1.​Testimonials: Let others do the talking for you. If you have satisfied customers, place a few testimonials on your website. Testimonials give potential customers the gift of going second. They know others have worked with you and attained success. Avoid stacking ten to twenty testimonials; otherwise you run the risk of positioning yourself as the hero. Three is a great number to start with and will serve the need most customers have to make sure you know what you are doing. Also, avoid rambling testimonials that heap endless praise on your brand. It won’t take long for a customer to trust you, so keep a testimonial brief. 2.​Statistics: How many satisfied customers have you helped? How much money have you helped them save? By what percentage have their businesses grown since they started working with you? A simple statement like the e-mail marketing platform Infusionsoft’s “125,000 users trust [our] award-winning automation software”6 is all your potential customer needs. Moreover, this scratches the itch of the left-brained consumer who loves numbers, statistics, and facts. 3.​Awards: If you’ve won a few awards for your work, feel free to include small logos or indications of those awards at the bottom of your page. Again, there’s no need to make a big deal about it, but awards go a long way in earning your customer’s trust, even if they’ve never heard of the award. 4.​Logos: If you provide a business-to-business product or service, place logos of known businesses you’ve worked with in your marketing collateral. Customers want to know you’ve helped other businesses overcome their same challenges. When they recognize another business you’ve worked with, it provides social proof you have the ability to help them win the day.

Un ospite defunto potrebbe continuare a scrivere recensioni, oppure a postare foto dei suoi soggiorni mentre era in vita. L’hotel dovrebbe rispondere a questi commenti? Oppure inviargli gli auguri di compleanno o le condoglianze ogni volta che ricorre la data della morte? È un bel mal di testa per i CRM e per la marketing automation: quanto loyal può essere un ospite trapassato? Può ancora essere un brand ambassador? Se in vita ha parlato molto del tuo hotel sui suoi social, allora potrebbe continuare a farlo da morto.

the roughly $800 billion in available stimulus, we directed more than $90 billion toward clean energy initiatives across the country. Within a year, an Iowa Maytag plant I’d visited during the campaign that had been shuttered because of the recession was humming again, with workers producing state-of-the-art wind turbines. We funded construction of one of the world’s largest wind farms. We underwrote the development of new battery storage systems and primed the market for electric and hybrid trucks, buses, and cars. We financed programs to make buildings and businesses more energy efficient, and collaborated with Treasury to temporarily convert the existing federal clean energy tax credit into a direct-payments program. Within the Department of Energy, we used Recovery Act money to launch the Advanced Research Projects Agency–Energy (ARPA-E), a high-risk, high-reward research program modeled after DARPA, the famous Defense Department effort launched after Sputnik that helped develop not only advanced weapons systems like stealth technology but also an early iteration of the internet, automated voice activation, and GPS.

Pharmaceutical Product Exporters in Ahmedabad India’s Leading Exporters of Quality Pharmaceutical Formulations in India. We offer Pharmaceutical Drug Formulation and Pharmaceutical Marketers. Research Pvt. Ltd. is top manufacturing the anti-infective Tablets. We have a wide range of pharmaceutical product exporters in Ahmedabad India. ERPL is one of the fastest growing pharmaceutical manufacturing company in India. Spread over 1,47,500 sq. ft. acres, this modernized manufacturing plant with ultra-modern facility is set up in North Indian State of Uttarakhand. The facilities are approved by cGMP, WHO-GMP, GLP, ISO 9001:2000 and other global regulatory bodies. ERPL has carved out a distinct place of its own in manufacturing of best quality pharmaceutical products. Our success is the mirror of the hard work and team spirit put up the excellence of the professionalism by our dedicated Directors to excel and concurred new horizons with the motive of “Commit to Quality and Customer Satisfaction” Manufacturing Facility Installed with latest technology, automated manufacturing and packing operation and best practices, ensuring the highest quality of healthcare. • Commitment and zero compromise on quality • Follow up WHO-GMP, CGMP and GLP • Instrument Lab • Primary Area • Analytical Lab • Production process • Quality Management system • Process and products design, Evolution & Validation of process.

The next billion-dollar startup will only have three employees.” The culture of that startup would be “AI first,” and it would use autonomous AI agents to get work done. All marketing and sales would be automated via AI bots, and the three employees would be: The CEO, who would handle vision and purpose and lead public-facing marketing. She would also code and be involved in engineering. The Product Lead, who would interface with customers and team to manage the product roadmap and drive development The Operations Lead, who would be responsible for the outcome of the AI bots and handle finance and legal and smooth operations. We

The scale shift of labour composition from the nineteenth to the twentieth centuries affected also the logic of automation, that is, the scientific paradigms involved in this transformation. The relatively simple industrial division of labour and its seemingly rectilinear assembly lines could easily be compared to a simple algorithm, a rulebased procedure with an ‘if/then’ structure which has its equivalent in the logical form of deduction. Deduction, not by coincidence, is the logical form that via Leibniz, Babbage, Shannon, and Turing innervated into electromechanical computation and eventually symbolic AI. Deductive logic is useful for modelling simple processes, but not systems with a multitude of autonomous agents, such as society, the market, or the brain.

When I was a certified small business and startup mentor for several Non-Profit Organizations (NPOs), after several months I came to realize that most business owners saw websites as "one and done" items rather than as company portals through which valuable and important processes could go through -while concurrently promoting their business online 24/7 through multiple online channels. Set your goals higher and ask yourself "how can we automate what takes up so much of our time and energy" and "how can we learn from and mirror the strategies of larger, more profitable competitors?

When it comes to choosing a customer relationship management (CRM) tool, businesses have plenty of options to choose from. Two of the most popular options are Go High Level and Active Campaign. While both tools offer similar features and benefits, there are some key differences that may make one a better fit for your business than the other. Go High Level: Overview and Features Go High Level is an all-in-one sales and marketing platform designed specifically for businesses that want to streamline their customer management processes. The platform offers a wide range of features, including: 1. Sales Automation: Go High Level offers a range of sales automation features, including lead capture forms, appointment scheduling, and automated follow-up emails. 2. Marketing Automation: The platform also offers a range of marketing automation tools, including email marketing campaigns, SMS marketing, and social media marketing. 3. CRM: Go High Level provides a comprehensive CRM solution, with features that include lead management, contact management, and deal tracking. 4. Analytics: The platform also offers detailed analytics and reporting tools, allowing businesses to track the success of their sales and marketing efforts. Active Campaign: Overview and Features Active Campaign is another popular CRM tool that offers a wide range of features and benefits. Some of the key features of Active Campaign include: 1. Email Marketing: Active Campaign is primarily known for its email marketing capabilities, offering a range of tools for creating and managing email campaigns. 2. Marketing Automation: The platform also offers marketing automation tools, including lead capture forms, automated emails, and CRM integration. 3. CRM: Active Campaign provides a comprehensive CRM solution, with features that include lead management, contact management, and deal tracking. 4. E-commerce: Active Campaign offers e-commerce integrations that allow businesses to track customer behavior and make personalized product recommendations. Go High Level vs. Active Campaign: Comparison While both Go High Level and Active Campaign offer similar features and benefits, there are some key differences between the two platforms that businesses should be aware of. 1. Sales and Marketing Automation: While both platforms offer sales and marketing automation features, Go High Level offers a more comprehensive set of tools. This includes appointment scheduling, SMS marketing, and social media marketing. Active Campaign is primarily focused on email marketing, although it does offer some automation features. 2. Ease of Use: Both Go High Level and Active Campaign are user-friendly platforms, but Go High Level is known for its simplicity and ease of use. This makes it a good choice for businesses that are new to CRM tools and want to get up and running quickly. 3. Pricing: Pricing is an important consideration when choosing a CRM tool, both Go High Level and Active Campaign offer competitive pricing. However, Go High Level offers more flexible pricing options, including a pay-as-you-go plan that allows businesses to only pay for the features they need. 4. E-commerce Integration: While both platforms offer e-commerce integrations, Active Campaign is known for its strong e-commerce capabilities. This includes features like abandoned cart tracking, product recommendations, and personalized product recommendations based on customer behavior. 5. Customization: Go High Level offers more customization options than Active Campaign. This includes the ability to create custom workflows and integrations with third-party apps. Which One to Choose? Choosing between Go High Level and Active If you're looking for a simple and easy-to-use platform with a comprehensive set of sales and marketing automation features, Go High Level may be the right choice for you.

When it comes to choosing a customer relationship management (CRM) tool, businesses have plenty of options to choose from. Two of the most popular options are Go High Level and Active Campaign. While both tools offer similar features and benefits, there are some key differences that may make one a better fit for your business than the other. Go High Level: Overview and Features Go High Level is an all-in-one sales and marketing platform designed specifically for businesses that want to streamline their customer management processes. The platform offers a wide range of features, including: 1. Sales Automation: Go High Level offers a range of sales automation features, including lead capture forms, appointment scheduling, and automated follow-up emails. 2. Marketing Automation: The platform also offers a range of marketing automation tools, including email marketing campaigns, SMS marketing, and social media marketing. 3. CRM: Go High Level provides a comprehensive CRM solution, with features that include lead management, contact management, and deal tracking. 4. Analytics: The platform also offers detailed analytics and reporting tools, allowing businesses to track the success of their sales and marketing efforts. Active Campaign: Overview and Features Active Campaign is another popular CRM tool that offers a wide range of features and benefits. Some of the key features of Active Campaign include: 1. Email Marketing: Active Campaign is primarily known for its email marketing capabilities, offering a range of tools for creating and managing email campaigns. 2. Marketing Automation: The platform also offers marketing automation tools, including lead capture forms, automated emails, and CRM integration. 3. CRM: Active Campaign provides a comprehensive CRM solution, with features that include lead management, contact management, and deal tracking. 4. E-commerce: Active Campaign offers e-commerce integrations that allow businesses to track customer behavior and make personalized product recommendations. Go High Level vs. Active Campaign: Comparison While both Go High Level and Active Campaign offer similar features and benefits, there are some key differences between the two platforms that businesses should be aware of. 1. Sales and Marketing Automation: While both platforms offer sales and marketing automation features, Go High Level offers a more comprehensive set of tools. This includes appointment scheduling, SMS marketing, and social media marketing. Active Campaign is primarily focused on email marketing, although it does offer some automation features. 2. Ease of Use: Both Go High Level and Active Campaign are user-friendly platforms, but Go High Level is known for its simplicity and ease of use. This makes it a good choice for businesses that are new to CRM tools and want to get up and running quickly. 3. Pricing: Pricing is an important consideration when choosing a CRM tool, both Go High Level and Active Campaign offer competitive pricing. However, Go High Level offers more flexible pricing options, including a pay-as-you-go plan that allows businesses to only pay for the features they need. 4. E-commerce Integration: While both platforms offer e-commerce integrations, Active Campaign is known for its strong e-commerce capabilities. This includes features like abandoned cart tracking, product recommendations, and personalized product recommendations based on customer behavior. 5. Customization: Go High Level offers more customization options than Active Campaign. This includes the ability to create custom workflows and integrations with third-party apps. Which One to Choose? Choosing between Go High Level and Active Campaign ultimately comes down to your business needs and preferences. If you're looking for a simple and easy-to-use platform with a comprehensive set of sales and marketing automation features, Go High Level may be the right choice for you.

CRM (Customer Relationship Management) is a marketing strategy that focuses on managing interactions and relationships with customers. CRM enables businesses to improve customer satisfaction, loyalty, and retention by providing personalized experiences that meet their needs. CRM is an essential aspect of modern marketing as it enables businesses to understand their customers' behavior, preferences, and needs and develop targeted marketing campaigns that resonate with them. In Go High Level, CRM (Customer Relationship Management) is a core component of the platform. The CRM functionality in Go High Level enables businesses to manage their customer interactions and relationships more effectively, improving customer satisfaction, loyalty, and retention. The CRM functionality in Go High Level includes a range of features and tools designed to help businesses automate and streamline their customer-facing processes, as well as provide them with insights into their customers' behavior, preferences, and needs. In essence, CRM is a set of practices, technologies, and strategies that businesses use to manage their customer interactions and relationships. The goal of CRM is to build stronger, more meaningful relationships with customers by providing them with personalized experiences and tailored solutions. CRM in marketing can be divided into three main categories: operational CRM, analytical CRM, and collaborative CRM. Operational CRM focuses on automating and streamlining customer-facing processes, such as sales, marketing, and customer service. This type of CRM is designed to improve efficiency and productivity by automating repetitive tasks and providing a centralized database of customer information. Operational CRM includes features such as sales pipeline management, lead nurturing, and customer service management. Analytical CRM focuses on analyzing customer data to gain insights into their behavior, preferences, and needs. This type of CRM enables businesses to make data-driven decisions by providing them with a better understanding of their customers' needs and preferences. Analytical CRM includes features such as customer segmentation, data mining, and predictive analytics. Collaborative CRM focuses on enabling businesses to collaborate and share customer information across different departments and functions. This type of CRM helps to break down silos within organizations and improve communication and collaboration between different teams. Collaborative CRM includes features such as customer feedback management, social media monitoring, and knowledge management. CRM is important for marketing because it enables businesses to build stronger, more meaningful relationships with customers. By understanding their customers' behavior, preferences, and needs, businesses can develop targeted marketing campaigns that resonate with them. This results in higher customer satisfaction, loyalty, and retention. CRM can also help businesses to improve their sales and marketing processes by providing them with better visibility into their sales pipeline and enabling them to track and analyze their marketing campaigns' effectiveness. This enables businesses to make data-driven decisions to improve their sales and marketing strategies, resulting in increased revenue and growth. Another benefit of CRM in marketing is that it enables businesses to personalize their marketing campaigns. Personalization is essential in modern marketing as it enables businesses to tailor their marketing messages and solutions to meet their customers' specific needs and preferences. This results in higher engagement and conversion rates, as customers are more likely to respond to marketing messages that resonate with them. Lead Generation: Go High Level provides businesses with a range of tools to generate leads, including customizable landing pages, web forms, and social media integrations.

Email Marketing And Automation Services With our specialized services, we can help you create a comprehensive email marketing strategy that aligns with your business objectives and resonates with your target audience. Let’s take a closer look at email marketing tools and our services and how we can help your business grow. Our email service providers can help you explore email marketing meaning and identify your target audience, develop a content plan, and create personalized emails that resonate with your subscribers. In addition, by leveraging our expertise, we can help you achieve higher open and click-through rates, increase conversions, and build long-lasting relationships with your subscribers.

The advance of computerization and automation technologies has meant that many medium-skilled jobs—clerks, travel agents, bookkeepers, and factory workers—have been replaced with new technologies. New jobs have arisen in their place, but those jobs are often one of two types: either they are high-skilled jobs, such as engineers, programmers, managers, and designers, or they are lower-skilled jobs such as retail workers, cleaners, or customer service agents. Exacerbating the trends caused by computers and robots are globalization and regionalization. As medium-skilled technical work is outsourced to workers in developing nations, many of those jobs are disappearing at home. Lower-skilled jobs, which often require face-to-face contact or social knowledge in the form of cultural or language abilities, are likely to remain. Higher-skilled work is also more resistant to shipping overseas because of the benefits of coordination with management and the market. Think of Apple’s tagline on all of its iPhones: “Designed in California. Made in China.” Design and management stay; manufacturing goes.

•​Artificial Intelligence: The science of making machines smart. •​Marketing AI: The science of making marketing smart. •​Algorithm: Set of rules that tell a machine what to do. •​Traditional Automation: Automation powered by sets of instructions (aka algorithms) coded by humans that tell machines what to do. •​Intelligent Automation: Automation powered by AI that has the potential to define its own algorithms, determine new paths, and unlock unlimited potential. •​Machine Learning: The primary subset of AI in which the machine uses data to continually learn and make more increasingly accurate predictions. •​Deep Learning: An advanced type of machine learning that mimics the functioning of the human brain, giving machines humanlike abilities to see, hear, write, speak, understand, and move.