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If you want one year of prosperity, grow grain. If you want ten years of prosperity, grow trees. If you want one hundred years of prosperity, grow people.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Three Keys To Predictable Revenue
Building a Sales Machine that creates ongoing, predictable revenue takes:
Predictable Lead Generation, the most important thing for creating predictable revenue.
A Sales Development Team that bridges the chasm between marketing and sales.
Consistent Sales Systems, because without consistency you have no predictability.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Of course you want more revenue, but what good is it if it isn’t predictable?
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Lack of money is a common excuse for not being creative.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Shifting from organic growth to proactive growth requires new habits, practices and systems, causing a lot of delays and frustrations.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Customers don't care at all whether you close the deal or not. They care about improving their business. It’s easy to forget this in the heat of a sales cycle.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Killer Salespeople Uncover True Problems Behind Desired Solutions
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Nothing so conclusively proves a man's ability to lead others as what he does from day to day to lead himself. ~Thomas J. Watson
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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I never make stupid mistakes. Only very, very clever ones.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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There is ALWAYS a way to move forward, even without money.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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One-time revenue spikes that aren’t repeatable won’t help you achieve consistent year-after-year growth.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Do you have a sales process? If you don’t—get one. ANYTHING is better than no process.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Prospecting doesn’t bring in revenue—closing brings in revenue.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Without further adieu, this is the best question ever to use to open calls:
“Did I catch you at a bad time?”
Conversationally, it might
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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To get just an inkling of the fire we're playing with, consider how content-selection algorithms function on social media. They aren't particularly intelligent, but they are in a position to affect the entire world because they directly influence billions of people. Typically, such algorithms are designed to maximize click-through, that is, the probability that the user clicks on presented items. The solution is simply to present items that the user likes to click on, right? Wrong. The solution is to change the user's preferences so that they become more predictable. A more predictable user can be fed items that they are likely to click on, thereby generating more revenue. People with more extreme political views tend to be more predictable in which items they will click on. (Possibly there is a category of articles that die-hard centrists are likely to click on, but it’s not easy to imagine what this category consists of.) Like any rational entity, the algorithm learns how to modify its environment —in this case, the user’s mind—in order to maximize its own reward.
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Stuart Russell (Human Compatible: Artificial Intelligence and the Problem of Control)
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like out there.” Solution: Talk to customers to get clear on what you do for them, rather than how you do it. Put this into a simple, clear one-page document you can share with the entire company. Regularly connect with customers by phone or in person.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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You are allowed to send “unsolicited” emails to businesses. Here are the three core guidelines: The subject and header must not be misleading. You must have a valid physical address in your email. You must include a way to opt-out from future communications.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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People, when under pressure or stress, tend to retreat to the safe place of what they know rather than taking the risk of trying new things. People tend to do more of what is not working rather than stepping back, taking a breather, and trying to figure out a new approach.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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For those who need data to be convinced, in global surveys of values in which every variable that social scientists like to measure is thrown into the pot (including income, education, and dependence on oil revenues), Islam itself predicts an extra dose of patriarchal and other illiberal values across countries and individuals.
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Steven Pinker (Enlightenment Now: The Case for Reason, Science, Humanism, and Progress)
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According to Business Insider, VR headsets alone will grow from a $37 million dollar industry in 2015 to $2.8 billion in 2020—growing by a factor of 75. Goldman Sachs predicts revenue from all categories of VR including software will reach $110 billion by 2020, making the category bigger than the TV industry in its first five years. We
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Robert Scoble (The Fourth Transformation: How Augmented Reality and Artificial Intelligence Change Everything)
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What works to generate flows of new leads: Trial-and-error in lead generation (requires patience, experimentation, money). “Marketing through teaching” via regular webinars, white papers, email newsletters and live events, to establish yourself as the trusted expert in your space (takes lots of time to build predictable momentum). Patience in building great word-of-mouth (the highest value lead generation source, but hardest to influence). Cold Calling 2.0: By far the most predictable and controllable source of creating new pipeline, but it takes focus and expertise to do it well. Luckily, you are holding the guide to the process in your hands right now. Building an excited partner ecosystem (very high value, very long time-to-results). PR: It’s great when, once in awhile, it generates actual results!
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Interruption Marketing was easy. Build a few ads, run them everywhere. Interruption Marketing was scalable. If you need more sales, buy more ads. Interruption Marketing was predictable. With experience, a mass marketer could tell how many dollars in revenue one more dollar in ad spending would generate. Interruption Marketing fit the command and control bias of big companies. It was totally controlled by the advertiser, with no weird side effects.
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Seth Godin (Permission Marketing: Turning Strangers Into Friends And Friends Into Customers (A Gift for Marketers))
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If You Only Track Five Metrics… Track as many of these as you can in your sales force automation system’s dashboards: New leads created per month (also, from what source). Conversion rate of leads to opportunities. Number of, and pipeline dollar value of, qualified opportunities created per month. This is the most important leading indicator of revenue! Conversion rates of opportunities to closed deals. Booked revenues in three categories: New Business, Add-On Business, Renewal Business.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Demographics 30 points based on manual Prospect review 0-8 points based on title Source and Offer Website leads source: +7 Thought leadership offer: -5 Behavioral Engagement: Visit any webpage or open any email: +1 Watch demos: +5 each Register for webinar: +5 Attend webinar: +5 Download thought leadership: +5 Download Marketo reviews: +12 More than 8 pages in one visit: +7 Visit website 2x in one week: +8 Search for “Marketo”: +15 Visit pricing pages: +5 Visit careers pages: -10 (I especially love this one!) No Activity in One Month: Score >30: -15 points Score 0 to 30: -5 points
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Until one is committed, there is hesitancy, the chance to draw back-- Concerning all acts of initiative (and creation), there is one elementary truth that ignorance of which kills countless ideas and splendid plans: that the moment one definitely commits oneself, then Providence moves too. All sorts of things occur to help one that would never otherwise have occurred. A whole stream of events issues from the decision, raising in one's favor all manner of unforeseen incidents and meetings and material assistance, which no man could have dreamed would have come his way. Whatever you can do, or dream you can do, begin it. Boldness has genius, power, and magic in it. Begin it now.” - Goethe
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Red Flags And Deal Breakers What signals or signs can you look for, as early in the sales process as possible, to warn you (and the client) that working together is a waste of time? Here are some examples of red flags: They just installed a _______ kind of system. They already have an agency/service provider in place, or a full-time in-house person dedicated to ___. They churn-and-burn the consultants or agencies they hire to do _____________. Know-it-alls / “We know what we’re doing.” Geography. Their monthly budget for ________ is only ________. These industries never seem to work: _____, _____, _____. This area of work is totally new to them, and they don’t understand it yet. (That is, you would have to do a lot of education of the client before they would even understand the value of your service.)
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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What works to generate flows of new leads: Trial-and-error in lead generation (requires patience, experimentation, money). “Marketing through teaching” via regular webinars, white papers, email newsletters and live events, to establish yourself as the trusted expert in your space (takes lots of time to build predictable momentum). Patience in building great word-of-mouth (the highest value lead generation source, but hardest to influence). Outbound Prospecting (aka "Cold Calling 2.0"):: By far the most predictable and controllable source of creating new pipeline, but it takes focus and expertise to do it well. Luckily, you are holding the guide to the process in your hands right now. Building an excited partner ecosystem (very high value, very long time-to-results). PR: It’s great when, once in a while, it generates actual results!
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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If you haven’t sent them an email yet, send an email as soon as you leave them the voicemail—give them more than one way to get back to you. Example 1: “Hi John, this is Aaron Ross from Salesforce.com. My number is 555-555-5555. John, I sent you an email a couple of days ago and hadn’t heard back, and I was hoping you could give me a quick courtesy response. I’ll resend it here in a minute. Again, Aaron Ross, 555-555-5555. Thank you and have a great day.” Example 2: “Hi John, this is Aaron Ross from Salesforce.com. My number is 555-555-5555. John, I’m calling to follow up on the email I sent you, I’d love to hear either way if you can please help me out or not. Again, Aaron Ross, 555-555-5555. Thank you and have a great day.” Example 3: (the mysterious version): “Hi John, this is Aaron Ross following up. My number is 555-555-5555. I’m free after 3pm today. Again, Aaron Ross, from Salesforce.com, 555-555-5555. Thanks and have a great day.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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To get just an inkling of the fire we’re playing with, consider how content-selection algorithms function on social media. They aren’t particularly intelligent, but they are in a position to affect the entire world because they directly influence billions of people. Typically, such algorithms are designed to maximize click-through, that is, the probability that the user clicks on presented items. The solution is simply to present items that the user likes to click on, right? Wrong. The solution is to change the user’s preferences so that they become more predictable. A more predictable user can be fed items that they are likely to click on, thereby generating more revenue. People with more extreme political views tend to be more predictable in which items they will click on. (Possibly there is a category of articles that die-hard centrists are likely to click on, but it’s not easy to imagine what this category consists of.) Like any rational entity, the algorithm learns how to modify the state of its environment—in this case, the user’s mind—in order to maximize its own reward.8 The consequences include the resurgence of fascism, the dissolution of the social contract that underpins democracies around the world, and potentially the end of the European Union and NATO. Not bad for a few lines of code, even if it had a helping hand from some humans. Now imagine what a really intelligent algorithm would be able to do.
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Stuart Russell (Human Compatible: Artificial Intelligence and the Problem of Control)
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This question marks a critical turning point in the trial-and-error elaboration of surveillance capitalism. It crystallizes a second economic imperative—the prediction imperative—and reveals the intense pressure that it exerts on surveillance capitalist revenues.
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Shoshana Zuboff (The Age of Surveillance Capitalism)
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Speculative value is driven by people trying to predict how widely used a particular cryptoasset will be in the future. It’s similar to newly publicly traded companies, where much of the market capitalization of the company is based on what investors expect from it in the future. As a result, the multiple of sales at which the company is valued is much greater than the multiple of sales that a more mature company will trade at. For example, a young, fast-growing company with $100 million in revenue may be worth $1 billion, whereas a much older company that is hardly growing may have $500 million in sales and also be worth $1 billion.
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Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
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Let us turn now to a study of a small Newfoundland fishing village. Fishing is, in England at any rate – more hazardous even than mining. Cat Harbour, a community in Newfoundland, is very complex. Its social relationships occur in terms of a densely elaborate series of interrelated conceptual universes one important consequence of which is that virtually all permanent members of the community are kin, ‘cunny kin’, or economic associates of all other of the 285 permanent members.
The primary activity of the community is cod fishing. Salmon, lobster, and squid provide additional sources of revenue. Woodcutting is necessary in off-seasons. Domestic gardening, and stints in lumber camps when money is needed, are the two other profitable activities. The community's religion is reactionary. Women assume the main roles in the operation though not the government of the churches in the town. A complicated system of ‘jinking’ – curses, magic, and witchcraft – governs and modulates social relationships.
Successful cod fishing in the area depends upon highly developed skills of navigation, knowledge of fish movements, and familiarity with local nautical conditions. Lore is passed down by word of mouth, and literacy among older fishermen is not universal by any means. ‘Stranger’ males cannot easily assume dominant positions in the fishing systems and may only hire on for salary or percentage. Because women in the community are not paid for their labour, there has been a pattern of female migration out of the area. Significantly, two thirds of the wives in the community are from outside the area. This has a predictable effect on the community's concept of ‘the feminine’. An elaborate anti-female symbolism is woven into the fabric of male communal life, e.g. strong boats are male and older leaky ones are female.
Women ‘are regarded as polluting “on the water” and the more traditional men would not consider going out if a woman had set foot in the boat that day – they are “jinker” (i.e., a jinx), even unwittingly'. (It is not only relatively unsophisticated workers such as those fishermen who insist on sexual purity. The very skilled technicians drilling for natural gas in the North Sea affirm the same taboo: women are not permitted on their drilling platform rigs.)
It would be, however, a rare Cat Harbour woman who would consider such an act, for they are aware of their structural position in the outport society and the cognition surrounding their sex….Cat Harbour is a male-dominated society….Only men can normally inherit property, or smoke or drink, and the increasingly frequent breach of this by women is the source of much gossip (and not a negligible amount of conflict and resentment). Men are seated first at meals and eat together – women and children eating afterwards. Men are given the choicest and largest portions, and sit at the same table with a ‘stranger’ or guest.
Women work extremely demanding and long hours, ‘especially during the fishing season, for not only do they have to fix up to 5 to 6 meals each day for the fishermen, but do all their household chores, mind the children and help “put away fish”. They seldom have time to visit extensively, usually only a few minutes to and from the shop or Post Office….Men on the other hand, spend each evening arguing, gossiping, and “telling cuffers”, in the shop, and have numerous “blows” (i.e., breaks) during the day.’
Pre-adolescents are separated on sexual lines. Boys play exclusively male games and identify strongly with fathers or older brothers. Girls perform light women's work, though Faris indicates '. . . often openly aspire to be male and do male things. By this time they can clearly see the privileged position of the Cat Harbour male….’. Girls are advised not to marry a fisherman, and are encouraged to leave the community if they wish to avoid a hard life. Boys are told it is better to leave Cat Harbour than become fishermen....
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Lionel Tiger (Men in Groups)
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Entrepreneurship is management. And yet, imagine a modern manager who is tasked with building a new product in the context of an established company. Imagine that she goes back to her company’s chief financial officer (CFO) a year later and says, “We have failed to meet the growth targets we predicted. In fact, we have almost no new customers and no new revenue. However, we have learned an incredible amount and are on the cusp of a breakthrough new line of business. All we need is another year.” Most of the time, this would be the last report this intrapreneur would give her employer. The reason is that in general management, a failure to deliver results is due to either a failure to plan adequately or a failure to execute properly. Both are significant lapses, yet new product development in our modern economy routinely requires exactly this kind of failure on the way to greatness. In the Lean Startup movement, we have come to realize that these internal innovators are actually entrepreneurs, too, and that entrepreneurial management can help them succeed;
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Eric Ries (The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses)
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Your company is likely to be set up to deliver repeatable certainty. There is a range of well-known products and services, an established business model to protect and a well-understood customer base to serve. That context is perfect for incremental innovation; there are plenty of known cause-and-effect relationships where investment risks are low and tolerance for failure is scant. And so it should be if we're doing a good job in a well-understood context. But try dropping an idea for a brand new proposition into that climate. This fledgling idea kind of makes sense on paper but it uses emerging technology that we don't really understand, serves a category of customer that we're not too familiar with, would require some support capabilities that we don't have, and would be driven by a business model that is hard to predict. That idea, 99 times out of 100, will die fast or drown by death of a thousand watering-down committees. And yet it might have been an important new revenue stream.
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Elvin Turner (Be Less Zombie: Transform Your Business Through Innovation, Digitization, and Forward Thinking)
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To respond to this shift from ownership to usership, companies across all industries have been transforming their businesses from a traditional up-front revenue model—in which they sell a product or service in exchange for a one-time fee—to subscription models. We’ve been writing extensively about this trend, which we dubbed Subscription Commerce back in 2014, and it shows no signs of slowing down.
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Rohit Bhargava (Non Obvious Megatrends: How to See What Others Miss and Predict the Future (Non-Obvious Trends Series))
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Wishes
Mindfulness is nevermore a good thing, as any other accident-prone fumbler would accept. No one wants a floodlight when they're likely to stumble on their face.
Moreover, I would extremely pointedly be asked- well, ordered really-that no one gave me any presents this year. It seemed like Mr. Anderson and Ayanna weren't the only ones who had decided to overlook that.
I would have never had much wealth, furthermore, that had never more disturbed me. Ayanna had raised me on a kindergarten teacher's wage.
Mr. Anderson wasn't getting rich at his job, either; he was the police chief here in the tiny town of Pittsburgh.
My only personal revenue came from the four days a week I worked at the local Goodwill store. In a borough this small, I was blessed to have a career, after all the viruses in the world today having everything shut down.
Every cent I gained went into my diminutive university endowment at SNHU online.
(College transpired like nothing more than a Plan B. I was still dreaming for Plan A; however, Marcel was just so unreasonable about leaving me, mortal.)
Marcel ought to have a lot of funds I didn't even want to think about how much. Cash was involved alongside oblivion to Marcel or the rest of the Barns, like Karly saying she never had anything yet walked away with it all.
It was just something that swelled when you had extensive time on your hands and a sister who had an uncanny ability to predict trends in the stock market.
Marcel didn't seem to explain why I objected to him spending bills on me, why it made me miserable if he brought me to an overpriced establishment in Los Angeles, why he wasn't allowed to buy me a car that could reach speeds over fifty miles an hour, approximately how? I wouldn't let him pay my university tuition (he was ridiculously enthusiastic about Plan B.)
Marcel believed I was being gratuitously difficult.
Although, how could I let him give me things when I had nothing to retaliate amidst?
He, for some amazing incomprehensible understanding, wanted to be with me. Anything he gave me on top of that just propelled us more out of balance.
As the day went on, neither Marcel nor Olivia brought my birthday up again, and I began to relax a little.
Then we sat at our usual table for lunch.
An unfamiliar kind of break survived at that table. The three of us, Marcel, Olivia, including myself hunkered down on the steep southerly end of the table. Now that is ‘superb’ and scarier (in Emmah's case, unquestionably.)
The Natalie siblings had finished. We were gazing at them; they're so odd, Olivia and Marcel arranged not to seem quite so intimidating, and we did not sit here alone.
My other compatriots, Lance, and Mikaela (who were in the uncomfortable post-breakup association phase,) Mollie and Sam (whose involvement had endured the summertime...)
Tim, Kaylah, Skylar, and Sophie (though that last one didn't count in the friend category.)
Completely assembled at the same table, on the other side of an interchangeable line.
That line softened on sunshiny days when Marcel and Olivia continuously skipped school times before there was Karly, and then the discussion would swell out effortlessly to incorporate me.
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Marcel Ray Duriez (Nevaeh Hard to Let Go)
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A wildly successful business is a business where: Customers chase you, and not the other way around. Predictability and consistency generate new leads, clients, and revenue. You speak only to highly-qualified prospects you can actually help. You have an automated lead-generation system that delivers new customers on demand with minimal human effort. You focus only on the Highly Leveraged Activities that produce revenue.
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Sabri Suby (SELL LIKE CRAZY: How to Get As Many Clients, Customers and Sales As You Can Possibly Handle)
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The former head of this operation, Gary Wendt, who is credited with much of the enormous success of GEFS, used his personal agenda as a simple but inordinately powerful tool for growing the business into ever new entrepreneurial arenas.
Over the years, he used his personal agenda to make it unequivocally clear that he expected entrepreneurial business growth from every member of management. At every major meeting, the topic of business development was on the agenda (usually in the number one spot). In every annual review, managers were asked to demonstrate the revenues they had created from businesses that did not exist five years before. From division heads to newly hired analysts, everyone was held accountable for some set of activities having to do with creating entrepreneurial revenue and profit streams. In short, no one who worked in the organization could avoid the unremitting focus on new business development.
You need to make sure that you are similarly consistent, predictable, and focused, and that you sustain this emphasis over a long period. Pressure applied only once is soon forgotten, and alternating pressure (as in flavor-of-the-month management) will cause people to be confused, disillusioned, or angry. Wendt’s consistent, visible, and predictable attention to business development created a pressure in GEFS for entrepreneurial business growth that took it from the $300 million installment loan portfolio we looked at in chapter 6 to a financial services behemoth with $250 billion in assets under management when he left in 1998.
Examples of Wendt’s single-minded determination to drive growth through entrepreneurial transformation at GEFS are numerous. Years ago, for instance, he was asked whether his agenda would change if someone rushed in and told him that the computer room was on fire (implying that his business could be completely destroyed). Wendt replied that he employed firefighters to handle such emergencies. As the leader, his most important job was to keep people focused on business development. Since business development is an uncomfortable and unpredictable process, Wendt knew that if he allowed it to appear to be a low priority for him, all those working for him would heave a sigh of relief and go back to business as usual, with new businesses struggling to find a place on the priority list. In fact, as he remarked, even if he did try to get involved in putting out the fire, he would probably only interfere with the efforts of the highly competent people employed to do so.
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Rita Gunther McGrath (The Entrepreneurial Mindset: Strategies for Continuously Creating Opportunity in an Age of Uncertainty)
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We, as human beings, don't make purchasing decisions when we're convinced. Or if we do, we're typically not very happy about it. We make decisions when we can predict. We are prediction machines.
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Julie Thomas (The Power of Value Selling: The Gold Standard to Drive Revenue and Create Customers for Life)
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New leads created per month (also, from what source). Conversion rate of leads to opportunities. Number of, and pipeline dollar value of, qualified opportunities created per month. This is the most important leading indicator of revenue! Conversion rates of opportunities to closed deals. Booked revenues in three categories: New Business, Add-On Business, Renewal Business.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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A no-nonsense management model: Choose people carefully Set expectations and vision Remove obstacles Inspire your people Work for your people Improve it next time
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Before the invention of the GDP, economists were rarely quoted by the press, but in the years after World War II they became a fixture in the papers. They had mastered a trick no one else could do: managing reality and predicting the future. Increasingly, the economy was regarded as a machine with levers that politicians could pull to promote “growth.” In 1949, the inventor and economist Bill Phillips even constructed a real machine from plastic containers and pipes to represent the economy, with water pumping around to represent federal revenue flows. As one historian explains, “The first thing you do in 1950s and ’60s if you’re a new nation is you open a national airline, you create a national army, and you start measuring GDP.
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Rutger Bregman (Utopia for Realists: And How We Can Get There)
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The New York Times ran a story recently about Gregg Rapp, a restaurant consultant, who gets paid to work out the pricing for menus. He knows, for instance, how lamb sold this year as opposed to last year; whether lamb did better paired with squash or with risotto; and whether orders decreased when the price of the main course was hiked from $39 to $41. One thing Rapp has learned is that high-priced entrées on the menu boost revenue for the restaurant—even if no one buys them. Why? Because even though people generally won't buy the most expensive dish on the menu, they will order the second most expensive dish. Thus, by creating an expensive dish, a restaurateur can lure customers into ordering the second most expensive choice (which can be cleverly engineered to deliver a higher profit margin).1
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Dan Ariely (Predictably Irrational: The Hidden Forces That Shape Our Decisions)
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For A Sales Team
I encourage clients to generally set up their dashboards in a three column format, including:
Left: Current month activity (amount of stuff going on).
Center: current month results/deals.
Right: Long-term results (year-to-date).
Example screenshot, blurred for privacy: Example Sales Development Rep Dashboard
Every sales rep should set up their own personal dashboard, so they can see the state of their own business at a glance (and it makes it easier for their manager to coach/help them).
Below, I have laid out a three-column dashboard
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Scalable, predictable revenue growth.
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Mark Roberge (The Sales Acceleration Formula: Using Data, Technology, and Inbound Selling to go from $0 to $100 Million)
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In the recent article “The Secret of Scale” in the Stanford Social Innovation Review, Peter Murray looked at how advocacy organizations achieved true scale and predictable revenue.6 He found that organizations like AARP and the National Rifle Association (NRA) have expanded to provide lifestyle benefits, like group insurance, product discounts, and access to special events—going well beyond traditional advocacy.
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Robbie Kellman Baxter (The Membership Economy)
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To be fair to President Bush, however, his approach to revenue was not a new one. In 1980, the year when Planet Ponzi started to turn, the average effective federal tax rate on the median American household was 11.4%. By 2010, that rate had plummeted to just 4.7%.10 That is not a reasonable amount for the average family to pay in exchange for defense, social security, Medicare, Medicaid, homeland security, the Department of Education, environmental protection, and various other services besides. The results are all too predictable. If you want to understand why we have a deficit in the US, look at figure 3.2. The graph is unusual in that it aggregates all sources of government revenues: not just taxation but other fees, charges, utility revenues, rents—any money that leaves your pocket and ends up in the government’s.11
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Mitch Feierstein (Planet Ponzi)
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The big-ticket hardware folks invest the capital, take all the risks—which are huge—suffer the losses and the write-downs, and then let somebody else capture the business that has predictability, lower price sensitivity, higher margins, recurring revenue, and the opportunity to create an ongoing customer relationship, because the frequency of purchase is ten times greater than the frequency of the initial transaction. “So
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Adrian J. Slywotzky (The Art of Profitability)
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Making the field salespeople do cold calls means having your highest-cost (per hour) sales resource perform the lowest-value (per hour) activity.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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As Winston Churchill said, “Never, never, never, never give up!” (with ideal prospects).
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Customers don't care at all whether you close the deal or not. They care about improving their business.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Executives need to spend at least 25% of their time with customers, so they stay connected with “what it’s really like out there.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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It's easy and fun to dream about success. Making it happen—and keeping it going—is a lot tougher. And far more rewarding.
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Aaron Ross (From Impossible To Inevitable: How Hyper-Growth Companies Create Predictable Revenue)
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There's no better way to pull yourself forward in life or business than to publicly commit to doing something specific by a deadline, even before you know how you're going to do it.
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Aaron Ross (From Impossible To Inevitable: How Hyper-Growth Companies Create Predictable Revenue)
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The company's job is to create a supportive environment. Extra vacation days and ping pong tables can create temporary happiness, but being supportive also means challenging you, pushing you to improve yourself as a person, to better build enduring happiness. In that way, actually, the company should be like a parent.
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Aaron Ross (From Impossible To Inevitable: How Hyper-Growth Companies Create Predictable Revenue)
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Your primary goal should not be to close a deal, but to help your “customers” solve problems and realize success.
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Aaron Ross (From Impossible To Inevitable: How Hyper-Growth Companies Create Predictable Revenue)
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successful entrepreneurs care more about the brutal truth than about being right or looking good. They take responsibility for results, not intentions. It
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Aaron Ross (From Impossible To Inevitable: How Hyper-Growth Companies Create Predictable Revenue)
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Use crises to motivate you to embrace the change, as painful as it may be, rather than avoid it. And
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Aaron Ross (From Impossible To Inevitable: How Hyper-Growth Companies Create Predictable Revenue)
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But Google’s learning algorithms are much better than Yahoo’s. This is not the only reason for the difference in their market caps, of course, but it’s a big one. Every predicted click that doesn’t happen is a wasted opportunity for the advertiser and lost revenue for the website. With Google’s annual revenue of $50 billion, every 1 percent improvement in click prediction potentially means another half billion dollars in the bank, every year, for the company. No wonder Google is a big fan of machine learning, and Yahoo and others are trying hard to catch up.
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Pedro Domingos (The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World)
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One thing Rapp has learned is that high-priced entrees on the menu boost revenue for the restaurant-even if no one buys them. Why? Because even though people generally won't buy the most expensive dish on the menu, they will order the second most expensive dish. Thus, by creating an expensive dish, a restaurant can lure customers into ordering the second most expensive choice (which can be cleverly engineered to deliver a higher profit margin).
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Dan Ariely (Predictably Irrational: The Hidden Forces That Shape Our Decisions)
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6. Depending On Activity Metrics Rather Than A Proven Process “Dials per day” isn’t nearly as useful as tracking “call conversations per day” or “appointments per week”. What’s your step-by-step process and waterfall? Measure results that are proven to lead to revenue rather than throwing lots of activity at a goal.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Tom Batchelder’s book titled Barking Up A Dead Horse
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Busy salespeople tend not to ask enough (or bold enough) questions of prospects around how the prospect’s internal processes work.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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If you’re a sales executive: If you sat down with your team and had them talk about their own top deals, how clear are they, not just on the current status of the deal or the next step, but also the prospect’s actual internal process to get to a decision?
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Scheduling via email is a huge time waster. Always work to schedule your next step while you’re on the phone.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Cold Calling 2.0: By far the most predictable and controllable source of creating new pipeline, but it takes focus and expertise to do it well. Luckily, you are holding the guide to the process in your hands right now.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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It is impossible to make predictions—to say if the Islamic Republic will collapse or if it will survive in its current form. Certainly its current form isn’t the one it took in the immediate wake of the revolution. Although Khamenei has been committed to safeguarding the revolution, he has also created a new theocracy—one that relies on the greed of the Revolutionary Guards and the Basij instead of the loyalty of its founding fathers. Khamenei has banished nearly all the clerics who held power when Ayatollah Khomeini was alive. Despite falling oil prices and economic sanctions, Khamenei had enough petro-dollar to satisfy his military base of support: the Guards and the Basij.
The oil revenue has been the biggest deterrent to democracy in Iran, even though the windfall has transformed the fabric of Iranian society. The Iranian middle class, more than two-thirds of the population, relies on the revenue instead of contributing to economic growth, and thus has been less likely to fulfill a historic mission to create institutional reform. It has been incapable of placing “demands on Iranian leadership for political reform because of its small role in producing wealth, as in other developing countries.
The regime is still an autocracy, to be sure, but democracy has been spreading at the grassroots level, even among members of the Basij and the children of Iran’s rulers. The desire for moderation goes beyond a special class. As I am writing these lines, Khamenei’s followers are shifting alliances and building new coalitions. Civil society, despite the repression it has long endured, has turned into a dynamic force. Khamenei still has the final word in Iranian politics, but the country’s political culture is not monolithic. Like Ayatollah Khomeini, who claimed he had to drink the cup of poison in order to end the war with Iraq, Khamenei has been forced to compromise. The fact that he signed off on Rohani’s historic effort to improve ties with the United States signals that the regime is moving in a different direction, and that further compromises are possible.
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Nazila Fathi (The Lonely War)
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Are you making excuses (which may sound like extremely logical reasons) for not finding ways to get around your challenges?
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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The quality of your people means everything to you and your team’s success.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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The iPhone alone now generates more revenue than all of Microsoft.
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Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
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The graveyards are full of indispensable men.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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In high-productivity sales organizations, salespeople do not cause customer acquisition growth, they fulfill it.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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The only thing that we know about financial predictions of startups is that 100 percent of them are wrong. If you can predict the future accurately, we have a few suggestions for other things you could be doing besides starting a risky early stage company. Furthermore, the earlier stage the startup, the less accurate any predications will be. While we know you can't predict your revenue with any degree of accuracy (although we are always very pleased in that rare case where revenue starts earlier and grows faster than expected), the expense side of your financial plan is very instructive as to how you think about the business. You can't predict your revenue with any level of precision, but you should be able to manage your expenses exactly to plan. Your financials will mean different things to different investors. In our case, we focus on two things: (1) the assumptions underlying the revenue forecast (which we don't need a spreadsheet for—we'd rather just talk about them) and (2) the monthly burn rate or cash consumption of the business. Since your revenue forecast will be wrong, your cash flow forecast will be wrong. However, if you are an effective manager, you'll know how to budget for this by focusing on lagging your increase in cash spend behind your expected growth in revenue.
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Brad Feld (Venture Deals: Be Smarter Than Your Lawyer and Venture Capitalist)
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Just like Creation author Steve Grand had predicted, the creatures were evolving in ways that Bezos could not have imagined. It was the combination of EC2 and S3—storage and compute, two primitives linked together—that transformed both AWS and the technology world. Startups no longer needed to spend their venture capital on buying servers and hiring specialized engineers to run them. Infrastructure costs were variable instead of fixed, and they could grow in direct proportion to revenues. It freed companies to experiment, to change their business models with a minimum of pain, and to keep up with the rapidly growing audiences of erupting social networks like Facebook and Twitter.
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Brad Stone (The Everything Store: Jeff Bezos and the Age of Amazon)
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You shouldn't confuse “stock trading” with “stock investing.” The former requires the stockholder to purchase, hold, or sell stocks to earn profits. The latter, on the other hand, allows the stockholder to get a regular stream of income just by acquiring stocks. Trading stocks can help you reap large profits on a daily basis. If you will purchase or sell the right stocks, you can secure huge revenues every day. Here, you won't have to study corporations deeply. You just have to observe the trends in the stock market, make some predictions, and purchase or sell stocks according to your predictions.
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Zachary D. West (Stocks: Investing and Trading Stocks in the Market - A Beginner's Guide to the Basics of Stock Trading and Making Money in the Market)
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Typically, such algorithms are designed to maximize click-through, that is, the probability that the user clicks on presented items. The solution is simply to present items that the user likes to click on, right? Wrong. The solution is to change the user’s preferences so that they become more predictable. A more predictable user can be fed items that they are likely to click on, thereby generating more revenue. People with more extreme political views tend to be more
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Stuart Russell (Human Compatible: Artificial Intelligence and the Problem of Control)
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Selling taught me that revenue is a numbers game. If you can find a formula that gives predictable results, you can focus on the inputs you control to get the output you want.
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Caelan Huntress (Marketing Yourself: How to Elevate your Personal Platform to the Next Level)
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Fastscaling means that you’re willing to sacrifice efficiency for the sake of increasing your growth rate. However, because fastscaling takes place in an environment of certainty, the costs are well understood and predictable. Fastscaling is a good strategy for gaining market share or trying to achieve revenue milestones.
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Reid Hoffman (Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies)
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Another, less obvious benefit to this model is that once a subscription business achieves scale, the predictability of its revenue streams allows it to be more aggressive with long-term investments, since it isn’t obliged to maintain large cash balances to weather short-term variations in the business.
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Reid Hoffman (Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies)
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AI enables marketers to: •Accelerate revenue growth •Create personalized consumer experiences at scale •Drive costs down •Generate greater return on investment (ROI) •Get more actionable insights from marketing data •Predict consumer needs and behaviors with greater accuracy •Reduce time spent on repetitive, data-driven tasks •Shorten the sales cycle •Unlock greater value from marketing technologies
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Paul Roetzer (Marketing Artificial Intelligence: Ai, Marketing, and the Future of Business)
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A going concern is a business that is self-sustaining with predictable revenue streams, reasonable expenses, and adequate cash levels to pay its bills.
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Dawn Fotopulos (Accounting for the Numberphobic: A Survival Guide for Small Business Owners)
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Put new reps through some kind of training program that has them working in other parts of your company first, talking to customers, before they go on active sale duty. This will make them much more effective salespeople and actually ramp them faster. Slow down to speed up!
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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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.
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What is CRM in Marketing?
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What Customer Success Isn't Customer Success is not free help. It isn't glorified customer support. And, like sales, it should be a revenue driver, not a cost center. As with sales, you should make money, or avoid losing it, by investing in this role.
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Aaron Ross (From Impossible to Inevitable: How SaaS and Other Hyper-Growth Companies Create Predictable Revenue)
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imagine a modern manager who is tasked with building a new product in the context of an established company. Imagine that she goes back to her company’s chief financial officer (CFO) a year later and says, “We have failed to meet the growth targets we predicted. In fact, we have almost no new customers and no new revenue. However, we have learned an incredible amount and are on the cusp of a breakthrough new line of business. All we need is another year.” Most of the time, this would be the last report this intrapreneur would give her employer. The reason is that in general management, a failure to deliver results is due to either a failure to plan adequately or a failure to execute properly. Both are significant lapses, yet new product development in our modern economy routinely requires exactly this kind of failure on the way to greatness. In the Lean Startup movement, we have come to realize that these internal innovators are actually entrepreneurs,
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Eric Ries (The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses)
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Merck maintained it had not tested either vaccine against an inert placebo in pre-approval trials, so no one could scientifically predict if the vaccines would avert more injuries or cancers than they would cause. Nevertheless, the sister FDA panel, VRBPAC, approved Gardasil—to prevent cervical cancer—without requiring proof that the vaccine prevented any sort of cancer, and despite strong evidence from Merck’s clinical trial that Gardasil could dramatically raise risks of cancer and autoimmunity in some girls.82 ACIP, nevertheless, effectively mandated both jabs. Gardasil would be the most expensive vaccine in history, costing patients $420 for the three-jab series and generating revenues of over $1 billion annually for Merck.83 That year, nine of the thirteen ACIP panel members and their institutions collectively received over $1.6 billion of grant money from NIH and NIAID. Systemic Conflicts of Interest Pharma and Dr. Fauci similarly rig virtually all the critical drug approval panels using this strategy of populating them with PIs who, bound by financial fealty to Pharma and NIAID funders, reliably approve virtually every new drug upon which they deliberate—with or without safety studies. From 1999 to 2000, Government Oversight Committee (GOC) Chairman Republican Congressman Dan Burton investigated the systemic corruption of these panels during two years of intense investigations and hearings. According to Burton, “CDC routinely allows scientists with blatant
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Robert F. Kennedy Jr. (The Real Anthony Fauci: Bill Gates, Big Pharma, and the Global War on Democracy and Public Health)
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Failure” is just your judgment of an experience, because there are no failures – just learning opportunities.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Mindfulness is nevermore a good thing, as any other accident-prone fumbler would accept. No one wants a floodlight when they're likely to stumble on their face.
Moreover, I would extremely pointedly be asked- well, ordered really-that no one gave me any presents this year. It seemed like Mr. Anderson and Ayanna weren't the only ones who had decided to overlook that.
I would have never had much wealth, furthermore, that had never more disturbed me. Ayanna had raised me on a kindergarten teacher's wage.
Mr. Anderson wasn't getting rich at his job, either; he was the police chief here in the tiny town of Pittsburgh.
My only personal revenue came from the four days a week I worked at the local Goodwill store. In a borough this small, I was blessed to have a career, after all the viruses in the world today having everything shut down.
Every cent I gained went into my diminutive university endowment at SNHU online.
(College transpired like nothing more than a Plan B. I was still dreaming for Plan A; however, Marcel was just so unreasonable about leaving me, mortal.)
Marcel ought to have a lot of funds I didn't even want to think about how much. Cash was involved alongside oblivion to Marcel or the rest of the Barns, like Karly saying she never had anything yet walked away with it all.
It was just something that swelled when you had extensive time on your hands and a sister who had an uncanny ability to predict trends in the stock market.
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Marcel Ray Duriez (Nevaeh Hard to Let Go)
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Russia loses about $2 billion in revenue for each dollar drop in the oil price and the Russian economy duly took the hit, bringing great hardship to many ordinary people, but predictions of the collapse of the state were wide of the mark.
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Tim Marshall (Prisoners of Geography: Ten Maps That Tell You Everything You Need to Know About Global Politics)
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What works to generate flows of new leads:
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Try out these tips, and keep track of your own "few, best practices and questions" that work in your market. Put them into a cheat sheet that you can use in training new
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Ask yourself, “If I could only get three things done today, what would they be?
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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TRUSTWORTHY CRYPTO RECOVERY EXPERT; USDT RECOVERY EXPERT HIRE CYBER CONSTABLE INTELLIGENCE
The ground trembled like a nervous intern on espresso shots. One minute, I was monitoring my geothermal Bitcoin miners, humming in harmony with Iceland's most unpredictable volcano. Next? An eruption painted the sky gray with ash, raining destruction like an out-of-control blockchain fork. Power cables flickered out. Servers turned into abstract-art pieces. And my wallet with $460,000 worth of mining revenue fried faster than a motherboard in a tidal wave of lava. I was knee-deep in volcanic mud, clutching the charred wallet, wondering if the universe had a vendetta against renewable energy. For weeks, I’d played geothermal gambler, harnessing Earth’s anger to mine crypto. Now, Mother Nature had countered with a literal power move. My wallet’s backups? Corrupted by ash-clogged drives. My cold storage? Warmer than a freshly erupted fissure. Even the volcanologists on my team shrugged. “We predict lava, not ledger errors,” one said, handing me a business card signed at the edges. “Try these Cyber Constable Intelligence. They’ve fixed crypto in weird places.” Cyber Constable Intelligence phoned on the first ring. Cyber Constable Intelligence saved not just crypto. They demonstrated that even the fury of nature cannot surpass human tenacity. My operation now operates robustly, excavating coins with Earth's anger and a backup generator sufficient to run a small glacier. The volcano? Still grumbling. My wallet? Locked inside a fireproof safe, as irony bites sharper than an Icelandic winter.
If your crypto somehow gets smothered beneath the pyroclastic ash of life, skip the freak-out. Call the Cybers. They'll dig through lava streams until your cash bubbles up to the surface. Just maybe set up your rigs a few miles closer to the crater next time. If you’re facing a similar problem I highly recommend contacting Cyber Constable Intelligence
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TRUSTWORTHY CRYPTO RECOVERY EXPERT; USDT RECOVERY EXPERT HIRE CYBER CONSTABLE INTELLIGENCE
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TRUSTWORTHY CRYPTO RECOVERY EXPERT; USDT RECOVERY EXPERT HIRE CYBER CONSTABLE INTELLIGENCE
The ground trembled like a nervous intern on espresso shots. One minute, I was monitoring my geothermal Bitcoin miners, humming in harmony with Iceland's most unpredictable volcano. Next? An eruption painted the sky gray with ash, raining destruction like an out-of-control blockchain fork. Power cables flickered out. Servers turned into abstract-art pieces. And my wallet with $460,000 worth of mining revenue fried faster than a motherboard in a tidal wave of lava. I was knee-deep in volcanic mud, clutching the charred wallet, wondering if the universe had a vendetta against renewable energy. For weeks, I’d played geothermal gambler, harnessing Earth’s anger to mine crypto. Now, Mother Nature had countered with a literal power move. My wallet’s backups? Corrupted by ash-clogged drives. My cold storage? Warmer than a freshly erupted fissure. Even the volcanologists on my team shrugged. “We predict lava, not ledger errors,” one said, handing me a business card signed at the edges. “Try these Cyber Constable Intelligence. They’ve fixed crypto in weird places.” Cyber Constable Intelligence phoned on the first ring. Cyber Constable Intelligence saved not just crypto. They demonstrated that even the fury of nature cannot surpass human tenacity. My operation now operates robustly, excavating coins with Earth's anger and a backup generator sufficient to run a small glacier. The volcano? Still grumbling. My wallet? Locked inside a fireproof safe, as irony bites sharper than an Icelandic winter.
If your crypto somehow gets smothered beneath the pyroclastic ash of life, skip the freak-out. Call the Cybers. They'll dig through lava streams until your cash bubbles up to the surface. Just maybe set up your rigs a few miles closer to the crater next time. If you’re facing a similar problem I highly recommend contacting Cyber Constable Intelligence
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TRUSTWORTHY CRYPTO RECOVERY EXPERT; USDT RECOVERY EXPERT HIRE CYBER CONSTABLE INTELLIGENCE
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The root assumption that gets Sales VPs fired (although the Board and CEO are equally responsible) is the false assumption that salespeople will find new business on their own from past Rolodexes or lots of cold calls, with a minimum of help or investment from the company.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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The tipping point of the Cold Calling 2.0 process was born: sending mass emails to high level executives to ask for referrals to the best person in their organization for a first conversation.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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However, Account Executive closers shouldn’t spend their time making cold calls. They should focus on higher-potential sources of business: a small list of targeted accounts at which they can build relationships, current clients, or their own past dead opportunities.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Consider a forecast Steve Ballmer made in 2007, when he was CEO of Microsoft: “There’s no chance that the iPhone is going to get any significant market share. No chance.” Ballmer’s forecast is infamous. Google “Ballmer” and “worst tech predictions”—or “Bing” it, as Ballmer would prefer—and you will see it enshrined in the forecasting hall of shame, along with such classics as the president of Digital Equipment Corporation declaring in 1977 that “there is no reason anyone would want a computer in their home.” And that seems fitting because Ballmer’s forecast looks spectacularly wrong. As the author of “The Ten Worst Tech Predictions of All Time” noted in 2013, “the iPhone commands 42% of US smartphone market share and 13.1% worldwide.”1 That’s pretty “significant.” As another journalist wrote, when Ballmer announced his departure from Microsoft in 2013, “The iPhone alone now generates more revenue than all of Microsoft.”2
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Philip E. Tetlock (Superforecasting: The Art and Science of Prediction)
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The Sales Development role is often treated within a sales organization as a low-level job. If you treat it that way, you’ll get low-level results.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)