Marketing Analytics Quotes

If you are on social media, and you are not learning, not laughing, not being inspired or not networking, then you are using it wrong.

Tweet others the way you want to be tweeted.

The superior investor is mature, rational, analytical, objective and unemotional.

Good decision-making is based on access to the correct information at the right time.

There is no better tool to bring you closer to your competitors than market research. So, keep your friends close and your competitors even closer with the help of market research.

Market research gives you enough time to learn from your competitors’ mistakes, take inspiration from their strengths, and exploit their weaknesses.

Good market research would have made you aware of the real picture at the right time, and maybe you would have been able to write a different future because of that.

When we master customer behavior and are able to offer them exactly what they want, we can achieve the biggest business opportunities.

Making the right decision at the right time is what sets a successful entrepreneur apart from the others.

Let market research be a permanent, ongoing part of your business strategy.

You don’t have to wait until you have a heart attack to understand the importance of a healthy lifestyle.

Keep learning more and more about your customers, your competitors, your brand, your target market, and business opportunities.

In current times, we have access to so much data. Having said that, data analysis can uncover so many hidden patterns about customer behavior and how they interact with various products.

Break down your problem as much as you can, but don’t do it on the basis of your guesses. If you don’t know exactly what is wrong, use market research to break down your problem further and further until you reach the very point of your trouble.

Without solid insights gained through market research, any kind of marketing you do is like throwing your pamphlets at Times Square and hoping somebody will pick them up, read them, become interested, and get the product. That happens… just not so often.

If you have no idea whether the problem is with your product, price, or something else, then it’s a good idea to start with a little research. It’s going to help you understand what the main problem is, or why people are not buying more of your products.

If we forgot our resentment, if we forgot revenge, if we acknowledged that we are all puppets in someone else's play, if we had not fought a war against each other, if some of us had not called ourselves nationalists or communists or capitalists or realists, if our bonzes had not incinerated themselves, if the Americans hadn't come to save us from ourselves, if we had not bought what they sold, if the Soviets had never called us comrades, if Mao had not sought to do the same, if the Japanese hadn't taught us the superiority of the yellow race, if the French had never sought to civilize us, if Ho Chi Minh had not been dialectical and Karl Marx not analytical, if the invisible hand of the market did not hold us by the scruffs of our necks, if the British had defeated the rebels of the new world, if the natives had simply said , Hell no, on first seeing the white man, if our emperors and mandarins had not clashed among themselves, if the Chinese had never ruled us for a thousand year, if they had used gunpowder for more than fireworks, if the Buddha had never lived, if the Bible had never been written and Jesus Christ never sacrificed, if you needed no more revisions, and if I saw no more of these visions, please, could you please just let me sleep?

Use the data from the clients you already have to help you find new clients just like them.

Data Analytics is critical to wise investing, but so is good old fashioned understanding of business and markets.

Forward-thinking organizations seek hybrid professionals who are highly proficient writers, analytical, creative, and tech savvy, with strong competencies in business management, information technology (IT), and human behavior.

As a brand or branded individual, success means sending out interesting, authentic, relevant content on a regular basis.

On the other hand, data smart marketers look beyond data and do not go around chasing KPI. They focus on solving their customers’ problems, one at a time.

In an ever-more complex world, Mandelbrot argues, scientists need both tools: image as well as number, the geometric view as well as the analytic. The two should work together. Visual geometry is like an experienced doctor's savvy in reading a patient's complexion, charts, and X-rays. Precise analysis is like the medical test results-the raw numbers of blood pressure and chemistry. "A good doctor looks at both, the pictures and the numbers. Science needs to work that way too," he says.

How have people come to be taken in by The Phenomenon of Man? We must not underestimate the size of the market for works of this kind [pseudoscience/'woo'], for philosophy-fiction. Just as compulsory primary education created a market catered for by cheap dailies and weeklies, so the spread of secondary and latterly tertiary education has created a large population of people, often with well-developed literary and scholarly tastes, who have been educated far beyond their capacity to undertake analytical thought.

Jack's marketing books had been a part of her life for so long that she had ceased to register their presence, simply moving them from the couch to the coffee table, from the bed to the nightstand. How to Sell Everything to Anybody. Eight Great Habits of CEOs. They all seemed to involve numbers, as if you could simply count yourself to riches, like following sheep to sleep.

In the competitive world of digital marketing, converting prospects into loyal customers is the ultimate goal for any business. CallTrack.AI emerges as a revolutionary tool in this quest, leveraging the power of artificial intelligence to transform the lead generation process. How CallTrack.AI redefines the approach to capturing and nurturing leads, ultimately leading to higher conversion rates and a robust customer base?

While I enjoy the work because of my love of mathematics, I luckily realized that this career path was simply designed to exploit inefficiencies in markets in order to extract profits from others. This financial realm known as trading is a zero-sum game where for every dollar you make, someone else loses a dollar, and I know I’m not destined to become such an obvious parasite on society. I only aspire to lead a meaningful, impactful life where I can apply my skills as an extremely analytical individual toward the benefit of humanity. I’m

My “10 Smart Market Diagnosis and Profiling Questions” What keeps them awake at night, indigestion boiling up their esophagus, eyes open, staring at the ceiling? What are they afraid of? What are they angry about? Who are they angry at? What are their top three daily frustrations? What trends are occurring and will occur in their businesses or lives? What do they secretly, ardently desire most? Is there a built-in bias to the way they make decisions? (Example: engineers = exceptionally analytical) Do they have their own language? Who else is selling something similar to their product, and how? Who else has tried selling them something similar, and how has that effort failed? So, Step 1 in our system is to analyze thoroughly, understand, and connect with the customer.

Unfortunately, the critics of economics have had a tendency to discuss the whole structure as a tissue of misconceptions. It is a critique that fails. The strength of economics is its considerable, if far from complete, understanding of the flows and comparative advantages that underlie trade, jobs, capital and incomes, and the logic of optimising behaviour, all backed by glittering accomplishment in mathematics. That makes it a powerful analytical instrument, so that just a few misconceptions – such as a failure to understand the informal economy or resource depletion – have leverage: like a baby monkey at the controls of a Ferrari, they can turn it into an instrument with extraordinarily destructive potential. If it were a tissue of errors, it would not be dangerous: it is its 90 percent brilliance which makes it so.

In the EPJ results, there were two statistically distinguishable groups of experts. The first failed to do better than random guessing, and in their longer-range forecasts even managed to lose to the chimp. The second group beat the chimp, though not by a wide margin, and they still had plenty of reason to be humble. Indeed, they only barely beat simple algorithms like “always predict no change” or “predict the recent rate of change.” Still, however modest their foresight was, they had some. So why did one group do better than the other? It wasn’t whether they had PhDs or access to classified information. Nor was it what they thought—whether they were liberals or conservatives, optimists or pessimists. The critical factor was how they thought. One group tended to organize their thinking around Big Ideas, although they didn’t agree on which Big Ideas were true or false. Some were environmental doomsters (“We’re running out of everything”); others were cornucopian boomsters (“We can find cost-effective substitutes for everything”). Some were socialists (who favored state control of the commanding heights of the economy); others were free-market fundamentalists (who wanted to minimize regulation). As ideologically diverse as they were, they were united by the fact that their thinking was so ideological. They sought to squeeze complex problems into the preferred cause-effect templates and treated what did not fit as irrelevant distractions. Allergic to wishy-washy answers, they kept pushing their analyses to the limit (and then some), using terms like “furthermore” and “moreover” while piling up reasons why they were right and others wrong. As a result, they were unusually confident and likelier to declare things “impossible” or “certain.” Committed to their conclusions, they were reluctant to change their minds even when their predictions clearly failed. They would tell us, “Just wait.” The other group consisted of more pragmatic experts who drew on many analytical tools, with the choice of tool hinging on the particular problem they faced. These experts gathered as much information from as many sources as they could. When thinking, they often shifted mental gears, sprinkling their speech with transition markers such as “however,” “but,” “although,” and “on the other hand.” They talked about possibilities and probabilities, not certainties. And while no one likes to say “I was wrong,” these experts more readily admitted it and changed their minds. Decades ago, the philosopher Isaiah Berlin wrote a much-acclaimed but rarely read essay that compared the styles of thinking of great authors through the ages. To organize his observations, he drew on a scrap of 2,500-year-old Greek poetry attributed to the warrior-poet Archilochus: “The fox knows many things but the hedgehog knows one big thing.” No one will ever know whether Archilochus was on the side of the fox or the hedgehog but Berlin favored foxes. I felt no need to take sides. I just liked the metaphor because it captured something deep in my data. I dubbed the Big Idea experts “hedgehogs” and the more eclectic experts “foxes.” Foxes beat hedgehogs. And the foxes didn’t just win by acting like chickens, playing it safe with 60% and 70% forecasts where hedgehogs boldly went with 90% and 100%. Foxes beat hedgehogs on both calibration and resolution. Foxes had real foresight. Hedgehogs didn’t.

Others can be very hard to solve — two notoriously hard examples are predicting extended weather conditions or stock-market performance.

Reach—Facebook breaks down reach into organic, paid, and viral. Organic reach is the number of people who have seen a post in the news feed, in the ticker, or on the page itself. Paid reach is the number of unique people who have seen an advertisement or a sponsored story. Viral reach is the number of unique people who have seen a story about a page published by a friend.

Recall Sergio Zyman’s definition of marketing (more stuff to more people for

MRU Consulting helps digital marketing enthusiasts increase conversion rates and improve website design with smart analytics analysis, user-friendly design.

If the highly paid, publicly scrutinized employees of a business that had existed since the 1860s could be misunderstood by their market, who couldn’t be? If the market for baseball players was inefficient, what market couldn’t be? If a fresh analytical approach had led to the discovery of new knowledge in baseball, was there any sphere of human activity in which it might not do the same?

Some use Salesforce. Others use Excel. Others use analytics tools. Each leader has their own scorecard. Enablement professionals need to be part of the conversation about what is working and what is not. We need to connect the dots between the great work we do and the results. We want to be able to walk into our leadership’s office and show the correlation between performance by seller and by team and enablement activity. We need to be able to turn a subjective dialogue into a fact-based and analytical conversation. We need to be able to provide answers to the most important question: What can we do to improve performance and achieve our go-to-market goals?

the real problem is that numerical correlations say nothing of people’s real needs, of their desires, and of the reasons for their activities. As a result, these numerical data can give a false impression of people. But the use of big data and market analytics is seductive: no travel, little expense, and huge numbers, sexy charts, and impressive statistics, all very persuasive to the executive team trying to decide which new products to develop.

As a result, the most important recommendation for organizations of all shapes and sizes moving forward is to anticipate worst case scenarios at a minimum. Even in cases where organizations cannot or will not make some of the operational changes recommended below, the exercise of focusing on nonsoftware areas of a given business can help identify under-realized or -appreciated assets within an organization. Particularly ones for whom the sale of software has been low effort, brainstorming about other potential revenue opportunities is unlikely to be time wasted. One vendor in the business intelligence and analytics space has privately acknowledged doing just this; based on current research and projecting current trends forward, it is in the process of building out a 10-year plan over which it assumes that the upfront licensing model will gradually approach zero revenue. In its place, the vendor plans to build out subscription and data-based revenue streams. Even if the plan ultimately proves to be unnecessary, the exercise has been enormously useful internally for the insight gained into its business.

I’m not here to say that analytics are bad. I’m here to say that analytics are human. Or at least, they represent the real needs and genuine interests of actual human beings; they’re proxies for people. And as such, we are honor bound to be respectful with them, to consider them with nuance and care, to let them guide us toward creating experiences of delight or at least outcomes that fulfill mutual needs, not to use them, manipulate them, and exploit them.

Analytics are people. And relevance, in terms of offering targeted messages and experiences, is a form of showing respect for your customer’s time and interests. So is discretion regarding their privacy.

The factors that usually decide presidential elections—the economy, likability of the candidates, and so on—added up to a wash, and the outcome came down to a few key swing states. Mitt Romney’s campaign followed a conventional polling approach, grouping voters into broad categories and targeting each one or not. Neil Newhouse, Romney’s pollster, said that “if we can win independents in Ohio, we can win this race.” Romney won them by 7 percent but still lost the state and the election. In contrast, President Obama hired Rayid Ghani, a machine-learning expert, as chief scientist of his campaign, and Ghani proceeded to put together the greatest analytics operation in the history of politics. They consolidated all voter information into a single database; combined it with what they could get from social networking, marketing, and other sources; and set about predicting four things for each individual voter: how likely he or she was to support Obama, show up at the polls, respond to the campaign’s reminders to do so, and change his or her mind about the election based on a conversation about a specific issue. Based on these voter models, every night the campaign ran 66,000 simulations of the election and used the results to direct its army of volunteers: whom to call, which doors to knock on, what to say. In politics, as in business and war, there is nothing worse than seeing your opponent make moves that you don’t understand and don’t know what to do about until it’s too late. That’s what happened to the Romney campaign. They could see the other side buying ads in particular cable stations in particular towns but couldn’t tell why; their crystal ball was too fuzzy. In the end, Obama won every battleground state save North Carolina and by larger margins than even the most accurate pollsters had predicted. The most accurate pollsters, in turn, were the ones (like Nate Silver) who used the most sophisticated prediction techniques; they were less accurate than the Obama campaign because they had fewer resources. But they were a lot more accurate than the traditional pundits, whose predictions were based on their expertise. You might think the 2012 election was a fluke: most elections are not close enough for machine learning to be the deciding factor. But machine learning will cause more elections to be close in the future. In politics, as in everything, learning is an arms race. In the days of Karl Rove, a former direct marketer and data miner, the Republicans were ahead. By 2012, they’d fallen behind, but now they’re catching up again.

There are three essential approaches for analytic marketing: (1) propensity models predict likelihood to purchase, (2) market basket analysis provides actionable association rules (answering questions such as customers who buy this product also buy what else?), and (3) decision trees enable hypersegmentation based on events and other customer characteristics.

Some people argue that economics is an exception to this general story. Economics, they say, provides a much more analytically precise and tightly integrated body of theory—a theory that is explicitly linked to a small set of generally accepted assumptions about human beings’ motivations and decision-making procedures, and that has been rigorously tested against quantified empirical evidence. Among all the social sciences, economics alone, these boosters contend, has a defensible claim to true scientific status. Economics certainly deserves to be regarded as the queen of the social sciences; unlike the others, it has unquestionably produced useful knowledge on a wide range of issues that affect our daily lives. Yet we should be suspicious of its bold claims to scientific status. Modern neoclassical economic theory is firmly grounded in the kind of mechanistic worldview (described in “Complexities”) that sees the economy as a machine, and to explain the operation of this machine it imports many of the concepts of nineteenth-century classical physics. So it stresses the natural tendency of the economy to find a stable equilibrium and the possibility of isolating the effect of changes in different economic factors (like changes in interest rates) on economic performance.25 As well, to achieve its simplicity and elegance, the theory focuses on the behavior of independent individuals operating in a market—individuals who are atomized, rational, similar in preferences, and stripped of any social attributes. But this makes the theory largely asocial and ahistorical: there’s generally no place in it for large-scale historical, cultural, and political forces that sometimes have a huge impact on our economies—forces like the emancipation of women, rising environmental consciousness, or democratization in poor countries. Because it’s insensitive to broad social forces, modern economic theory is also surprisingly insensitive to its own tight relationship with capitalism. Nevertheless, it’s clearly a product of capitalism—a specific, historically rooted economic system—and it only makes sense in the context of capitalism.26

With all of the data and analytical tools at our disposal, you would not expect this, but a substantial proportion of business and investment decisions are still based on the average. I see investors and analysts contending that a stock is cheap because it trades at a PE that is lower than the sector average or that a company has too much debt because its debt ratio is higher than the average for the market. The average is not only a poor central measure on which to focus in distributions that are not symmetric, but it strikes me as a waste to not use the rest of the data.

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.

Product management is a career, not just a role you play on a team. The product manager deeply understands both the business and the customer to identify the right opportunities to produce value. They are responsible for synthesizing multiple pieces of data, including user analytics, customer feedback, market research, and stakeholder opinions, and then determining in which direction the team should move. They keep the team focused on the why — why are we building this product, and what outcome will it produce?

The criteria that I found most valuable when making my decisions were the following: What is the size of the investor community invested in other offerings on the platform to-date? Does the platform accept investments via credit card? For example, about 40% of my crowdfunding investors invested with a credit card. Does the platform allow for campaign extensions (if you fall short of your goal within your campaign period, can you extend the campaign until you reach your goal)? I’ve extended my campaigns multiple times. Does the platform allow for multiple disbursements? I prefer to disburse money from my campaign once a month. However, many platforms don’t allow you to disburse the funds until after the campaign is over What are the fees? Platforms can charge between 5-20% of your raise as fees, with some platforms having complicated fee structures that involve taking some of your Securities as part of the offering. Some platforms require you to pay them cash upfront before launching an offering. Does the platform allow you to set your own terms? For example, some platforms don’t allow you to sell convertible notes. Some others don’t allow you to sell non-voting common stock. Some platforms insist that they set the valuation for your startup in order to launch—the logic being that they know their investors, and they want to provide them with a “good deal.” For many reasons, you want to sell the Security that’s right for your startup. Does the platform allow you to have design freedom on the campaign page? You want to make sure that your brand is well represented. The aesthetics and optimization of the page are highly correlated with conversion (how many people invest after visiting your page). Does the platform support analytics? You need advanced analytics to market your offering. Some platforms, for example, allow you to enter a Facebook Pixel and Google Analytics code into the campaign page, while others do not. Does the platform have a good reputation? You will be driving a lot of potential investors and media folks to this platform, and you want to be sure that your platform of choice hasn’t been involved in anything shady in the past. Does the platform allow you to update your investors and prospective investors with campaign notifications? Some platforms have a built-in functionality where you can post updates right on the campaign, download email, and mailing contact lists of your investors (allowing you to contact them by email and allowing you to build Facebook “lookalike audiences”). Whereas, other platforms don’t even share the email addresses of the folks who have already invested in your startup. Does the platform support or plan to support secondary trading for the Securities that it sells on its platform? Will your investors be able to sell the Securities that they buy from you? The ability to sell Securities in a marketplace brings a lot of liquidity and increases its value significantly. In order to allow for secondary trading, the platform needs to obtain an Alternative Trading System (ATS) approval from FINRA.

It's also important for tech product managers to have a broad understanding of the types of analytics that are important to your product. Many have too narrow of a view. Here is the core set for most tech products: User behavior analytics (click paths, engagement) Business analytics (active users, conversion rate, lifetime value, retention) Financial analytics (ASP, billings, time to close) Performance (load time, uptime) Operational costs (storage, hosting) Go‐to‐market costs (acquisition costs, cost of sales, programs) Sentiment (NPS, customer satisfaction, surveys)

Readers of this book, however intelligent and knowing, could scarcely expect to do a better job of portfolio selection than the top analysts of the country. But if it is true that a fairly large segment of the stock market is often discriminated against or entirely neglected in the standard analytical selections, then the intelligent investor may be in a position to profit from the resultant undervaluations.

Mastering Social Media Advertising Mastering social media marketing requires a comprehensive understanding of the platforms, audience targeting, content creation, and analytics. Social media has become an inevitable part of human life so the business. An effective social media marketing helps in attracting a huge number of audience. It also increase brand promotion. Social media advertising is getting tricky and new day by day. So it is always important to go with the trend and have updated knowledge in changing markets.

Google Analytics is the best friend of all Digital Marketers as it dictates the decision-making and success of every website.

When it comes to developing and maintaining a competitive advantage for your business, there is no question in my mind that you’re going to need to incorporate both data science and business intelligence together in order to survive the future hyper-competitive environment.  If you are not doing so, I can guarantee that your competitors will be doing it.

Understanding and tracking 10 most crucial google analytics metrics Google Analytics proves to be an invaluable asset for businesses of varying sizes, offering comprehensive analysis capabilities. It empowers users to gain insights into their content, websites, and incoming traffic, thereby aiding in the enhancement of overall strategy and campaign planning. It is imperative to familiarize oneself with Google Analytics before engaging in practical application. Obtaining a Google Analytics certification serves as an excellent introductory step, and it is worth noting that this certification is available for free. By incorporating Google Analytics into your digital marketing toolkit, you can significantly bolster your online marketing endeavors. For more information on analytics metrics, Google Analytics certification, and measurement, please refer to the accompanying blog.

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.

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market research consultant in india: AMT Market Research Having accurate and insightful market research is essential for making informed decisions in today's dynamic business environment. AMT Market Research, a prominent Indian market research consultant, specializes in providing custom solutions to assist businesses in navigating the Indian market's complexities. AMT Market Research aids businesses in a variety of industries in locating growth opportunities, mitigating risks, and remaining competitive by having a thorough comprehension of local consumer behavior, economic trends, and industry shifts. Services and Expertise AMT Market Research offers a wide range of services tailored to each client's specific requirements. These are some: Market Analysis By conducting a thorough market analysis, AMT assists businesses in comprehending market share, size, and trends. AMT ensures that businesses have the data they need to make strategic decisions by evaluating key industry drivers, competitive landscapes, and potential growth areas. Customer Insights Any business that wants to succeed in India's vast and varied market must have a solid understanding of consumer behavior. Businesses can use AMT's consumer insights services to create targeted products and marketing strategies by delving deeply into buying patterns, preferences, and motivations. By analyzing competitors' strategies, strengths, weaknesses, and market positioning, competitor analysis from AMT aids businesses in benchmarking. By taking advantage of their distinct value propositions and comprehending the dynamics of the competition, this service enables businesses to maintain their lead. AMT's feasibility studies provide a comprehensive analysis of potential outcomes prior to launching a new product, entering a new market, or expanding operations, assisting clients in assessing risks and profitability. Data Collection and Analysis AMT uses surveys, interviews, and focus groups to collect both qualitative and quantitative data. Advanced analytics are used by the company to transform unstructured data into useful insights, giving businesses a clear path forward. What Attracts You to AMT Market Research? AMT Market Research stands out because it is able to provide individualized solutions that address the particular difficulties that the Indian market faces. AMT provides insights that are accurate, timely, and applicable thanks to a team of seasoned professionals. Clients will be able to anticipate and prepare for changes thanks to their data-driven approach. AMT is a dependable partner for businesses looking to expand in India or strengthen their market position because of its extensive network across various industries and unparalleled access to market information. market research consultant in india can help you stay ahead of the competition, whether you're a local business or a multinational corporation. In conclusion, businesses aiming for success in India need AMT Market Research as a crucial partner. AMT helps its customers make well-informed decisions that drive growth and profitability by providing individualized research solutions, consumer insights, and strategic analysis. AMT Market Research is the preferred consulting firm for businesses attempting to navigate the Indian market's complexities.

Angela Liberatore, based in Melbourne, Australia, is a seasoned digital marketing expert known for her innovative strategies, data-driven approach.............social media marketing can significantly enhance a business by boosting brand awareness, improving customer engagement, increasing website traffic, and establishing trust. Angela Liberatore a digital marketing expert, emphasizes that by leveraging targeted advertising and analytics, brands can effectively reach their audience and optimize their marketing efforts. The interactive nature of social media fosters relationships with customer

While good marketing is anchored in human connection and empathy, creating and implementing your marketing programs can and should be a rigorous and analytical process.

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.

When hiring new marketers, use the DARC criteria: Digital Citizen, Analytical, web Reach, and Content creation.

The secret to getting the most from Big Data isn’t found in huge server farms or massive parallel computing or in-memory algorithms. Instead, it’s in the almighty pencil.

key is to focus on the big decisions for which if you had better data, if you had better predictive ability, if you had a better ability to optimize, you’d make more money.

data, models, transformation. Data is the creative use of internal and external data to give you a broader view on what is happening to your operations or your customer. Modeling is all about using that data to get workable models that can either help you predict better or allow you to optimize better in terms of your business.

It’s not enough to analyze “Big Data” or even extract insights from them. The best sales leaders mask all that complexity and keep it simple for the front lines so sales staff like Maria can get on with what they do best — sales, not statistics.

Backtesting against historical data, all indications whispered confident promises for what this thing could do once set in motion. As John puts it, “A slight pattern emerged from the overwhelming noise; we had stumbled across a persistent pricing inefficiency in a corner of the market, a small edge over the average investor, which appeared repeatable.” Inefficiencies are what traders live for. A perfectly efficient market can’t be played, but if you can identify the right imperfection, it’s payday.

Research shows that personalization can deliver five to eight times the ROI on marketing spend and lift sales 10% or more.

Avinash Kaushik, author and Digital Marketing Evangelist at Google, says former US Secretary of Defense Donald Rumsfeld knew a thing or two about analytics. According to Rumsfeld: There are known knowns; there are things we know that we know. There are known unknowns; that is to say there are things that we now know we don’t know. But there are also unknown unknowns — there are things we do not know, we don’t know.

Traveling cookie” data build a digital footprint of a consumers based on their logins at popular sites (for example, on airline sites or Facebook). Once the customer logs in, the cookie follows that customer wherever he or she goes on the web.

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Fundamental analysis often works, but it often fails. Technical analysis often works, and then it does not work. Economists speak of economic cycles, but none can be found analytically. Traders speak of market cycles; they too cannot be proven. To top it off, the critics of the EMH have been unable to offer an alternative that takes all the discrepancies into account. In few other areas are theory and practical experience in such little agreement.

Question: Do the machines depicted in the economy of The Matrix produce value? The answer, of course, depends on what value means and how it differs from price. One definition of value is the price towards which the actual price tends under normal market conditions. Another derives from the idea that the value of things reflects the true costs of producing them. One thing is certain: just like love, poetry, porn and beauty, one knows value when one sees it, even if one finds it impossible to define it analytically.

ARTICLE Five steps to squeeze more ROI from your marketing To keep up with today’s channel-surfing customer, marketers need to move beyond traditional Marketing Mix Modeling.

Marketing often has a central role in all aspects of customer profitability implementation management, because understanding the economic relationship between customers and company is close to the essence of the Marketer’s role.

Innovative Market Systems was no overnight success. Bloomberg began by investing about $300,000 and went to work with three recruits he had met at Salomon—Thomas Secunda, who specialized in analytics; Chuck Zegar, who created the software; and Duncan MacMillan, the expert in customer needs. All three are still at Bloomberg L.P., wealthy but unsung heroes of the Bloomberg saga.

Here are several rules that worked for me as I grew from a wild amateur into an erratic semiprofessional and finally into a calm professional trader. You may change this list to suit your personality. Decide that you are in the market for the long haul—that is, you want to be a trader even 20 years from now. Learn as much as you can. Read and listen to experts, but keep a degree of healthy skepticism about everything. Ask questions, and do not accept experts at their word. Do not get greedy and rush to trade—take your time to learn. The markets will be there, offering more good opportunities in the months and years ahead. Develop a method for analyzing the market—that is, “If A happens, then B is likely to happen.” Markets have many dimensions—use several analytic methods to confirm trades. Test everything on historical data and then in the markets, using real money. Markets keep changing—you need different tools for trading bull and bear markets and transitional periods as well as a method for telling the difference (see the sections on technical analysis). Develop a money management plan. Your first goal must be long-term survival; your second goal, a steady growth of capital; and your third goal, making high profits. Most traders put the third goal first and are unaware that goals 1 and 2 exist (see Section 9, “Risk Management”). Be aware that a trader is the weakest link in any trading system. Go to a meeting of Alcoholics Anonymous to learn how to avoid losses or develop your own method for cutting out impulsive trades. Winners think, feel, and act differently than losers. You must look within yourself, strip away your illusions, and change your old ways of being, thinking, and acting. Change is hard, but if you want to be a professional trader, you have to work on changing and developing your personality.

even if you don't think of your company as a global entity, you must remember that everything on the Internet is seen everywhere.

Rachel is a smart marketer. How do we know this? She’s promoting her album on her cover photo, and also -- in the description.

We don’t subscribe to the “build it and they will come” philosophy because we’ve never seen it work.

In today’s media environment, invisibility is a fate much worse than failure for any business large or small.

If you want your fans to abandon you as quickly as possible, go ahead and delete their messages from your Facebook areas.

It’s SOCIAL Media.   You must engage. Period.

People are sometimes shocked to hear that only 1 percent of their fans will see any of their posts unless they’re “boosted” (paid for).

Crunching data is not an automatic ticket for success, any more than putting up a website turned every company in the dotcom era into an e-commerce juggernaut. If the rollout of IT in the corporate world over the last 30 years has taught one lesson, it’s that the adoption of a transformative technology always requires careful and creative management grounded in facts. The new new thing never succeeds without a lot of help from the old old thing.

Given the overwhelmingly positive effects of this Facebook effort, the brand considered making massive marketing budget cuts to TV and print advertising in favor of more spend on social media channels. MMM analysis suggested that digital marketing (online display, Facebook advertising and Facebook viral) would deliver the same impact as traditional marketing (TV and print), but at only 15 percent of the cost.

When long-term effects were included in the calculations, however, the contribution of digital dropped by half. Online displays and Facebook advertising just cannot deliver the same emotional connection that brand equity requires that TV advertising does. Significant cuts to TV spend as suggested by traditional MMM would have reduced the NPV of the brand’s profit. In

These data rarely exist in one place in the organization so you’ll need to pull in people from multiple functions such as marketing, sales, in-store operations, IT, and beyond. We’ve seen companies create small “SWAT” teams that assemble people from these functions to break through bureaucratic logjams.

The organizational and technology challenges are significant, and we have touched on only a few of them here. But we’ve seen big pay-offs for retailers who can follow individual customers across media and channels. Increasingly,

What, then, are the practical steps that pricing managers can take to master Big Data? Companies must recruit a new generation of pricing talent with more of a “trader” profile than an “analyst” one.

It is our view that stock-market timing cannot be done, with general success, unless the time to buy is related to an attractive price level, as measured by analytical standards. Similarly,

One of the main ​reasons that MMM doesn’t deliver the benefits it should is because CMOs and marketers aren’t involved in the analysis. In many cases companies outsource the analysis or throw it over the wall to an internal analytics team. The result we often see is that the CMO pushes back on implementing the findings of the analysis, either because it’s too complex or challenges the status quo. Often times there’s a high level of distrust due to a lack of transparency into the process, so even if there’s great analysis there, the CMO won’t act on it.

Set hard and measurable goals. Lots of folks talk about improving customer experience, a worthy goal. But how do you measure it? Goals like revenue growth, increased profitability, or increased customer use are good because they’re measurable. But don’t stop there. Write out how the improvement you’re shooting for will impact the P&L. For

Now you see why there are so few truly great marketers out there. You’ve got to be sufficiently analytical to organize and build a mountain of analysis, and you’ve got to be creative and courageous enough to leap off that mountain in the direction your intuition tells you to. Strong left brain, strong right brain and the courage and boldness required to pull it all off. Great marketing isn’t for the faint of heart.

The quality of students wasn’t an issue; Tsinghua and nearby Peking University attracted the highest-scoring students from each year’s national examinations. But the SEM’s curriculum and teaching methods were dated, and new faculty members were needed. To be a world-class school required world-class professors, but many instructors, holdovers from a bygone era, knew little about markets or modern business practices. The school’s teaching was largely confined to economic theory, which wasn’t very practical. China needed corporate leaders, not Marxist theoreticians, and Tsinghua’s curriculum placed too little emphasis on such critical areas as finance, marketing, strategy, and organization. The way I see it, a business education should be as much vocational as academic. Teaching business is like teaching medicine: theory is important, but hands-on practice is essential. Medical students learn from cadavers and hospital rounds; business students learn from case studies—a method pioneered more than a century ago by Harvard Business School that engages students in analyzing complex real-life dilemmas faced by actual companies and executives. Tsinghua’s method of instruction, like too much of China’s educational system, relied on rote learning—lectures, memorization, and written tests—and did not foster innovative, interactive approaches to problem solving. Students needed to know how to work as part of a team—a critical lesson in China, where getting people to work collaboratively can be difficult. At Harvard Business School we weren’t told the “right” or “wrong” answers but were encouraged to think for ourselves and defend our ideas before our peers and our at-times-intimidating professors. This helped hone my analytical skills and confidence, and I believed a similar approach would help Chinese students.

When I first joined Facebook, I was working with a team to answer the critical question of how best to grow our business. The conversations were getting heated, with many people arguing their own positions strongly. We ended the week without consensus. Dan Rose, leader of our deal team, spent the weekend gathering market data that allowed us to reframe the conversation in analytics. His effort broke the logjam. I then expanded Dan’s responsibilities to include product marketing. Taking initiative pays off. It is hard to visualize someone as a leader if she is always waiting to be told what to do.

sometimes what you need is a new market, not a new product,

In our experience, brands are aware of at least 90% of issues that the company could face. These issues could come from operational challenges, customer service complaints, product disputes, and so on.

He asked good questions and told educational stories. There’s nothing I like so much as learning, and I had never met anyone who thought about business in such a clear way. On that first day, he introduced me to an intriguing analytic exercise that he does. He’ll choose a year—say, 1970—and examine the ten highest market-capitalization companies from around then. Then he’ll go forward to 1990 and look at how those companies fared. His enthusiasm for the exercise was contagious.

In a startup, the purpose of analytics is to find your way to the right product and market before the money runs out.

LEADERSHIP ABILITIES Some competencies are relevant (though not sufficient) when evaluating senior manager candidates. While each job and organization is different, the best leaders have, in some measure, eight abilities. 1 STRATEGIC ORIENTATION The capacity to engage in broad, complex analytical and conceptual thinking 2 MARKET INSIGHT A strong understanding of the market and how it affects the business 3 RESULTS ORIENTATION A commitment to demonstrably improving key business metrics 4 CUSTOMER IMPACT A passion for serving the customer 5 COLLABORATION AND INFLUENCE An ability to work effectively with peers or partners, including those not in the line of command 6 ORGANIZATIONAL DEVELOPMENT A drive to improve the company by attracting and developing top talent 7 TEAM LEADERSHIP Success in focusing, aligning, and building effective groups 8 CHANGE LEADERSHIP The capacity to transform and align an organization around a new goal You should assess these abilities through interviews and reference checks, in the same way you would evaluate potential, aiming to confirm that the candidate has displayed them in the past, under similar circumstances.

capabilities to find trends and to understand and segment audiences based on user attributes, media consumption habits, and more. Many large corporations with complex segmentation needs,