Tag: data

  • The Advantage of Primary Source Data With Respect To Aggregated, Accumulated or Transactional Data

    The Advantage of Primary Source Data With Respect To Aggregated, Accumulated or Transactional Data

    By Dave Poulos, Chief Consultant, Granite Partners, LLC

    David Poulos

    Big Data – There, I said it, now the bots can find this article and show it to the millions of eyeballs watching the internet for articles on big data and Big Brother. We are all contributing daily to this giant cache of data, every move we make, from buying groceries, to pumping gas, to using a toll road, to making a phone call or sending a text, to posting on social media, we’re adding to the huge pool of information called big data. But here’s the problem – data isn’t knowledge, and knowledge isn’t wisdom. Just because we collect facts, aggregate them, sift them, analyze them, order and rank them, connect the dots between them – doesn’t mean we really KNOW those individuals who originated the data. We can only make educated guesses, informed by history, not intent.

     

    It has been said that trying to harness that massive stream of data and use it to make decisions is like trying to drink from a fully-charged municipal fire hose – the power can literally blow your head off! The real trick to using data to make, or at least inform decisions, is to select the bits that get you closer to the truth of the motivation you’re trying to trigger. From a marketing standpoint, finding what to measure is at least as big a challenge as how tomeasure it, and how you use the answers to guide marketing outreach activity. Once you’ve made some determination as to what data you need, you can nearly always find a way to extract and aggregate it to use to your advantage. But how do you decide what you’re looking for?

     

    One of the best sources of solid, reliable, workable data we’ve discovered in actual practice is primary research with a split pool of the target audience. We use both digital survey and long-form, In-Depth Interview (IDI) methodology to glean primary customer insight data from a split pool of logical likely customers and actual purchasers. The phone interviews are structured like a conversation, the questions asked in a seemingly logical order, although not always in the same order from call to call. Each call is recorded, and transcripts made of each. This is what assures the research staff that they have “covered all the bases” and that each call is consistent with the goal of the study. The responses are analyzed to glean insights as to satisfaction or awareness, or preference, or attitude toward, or dislike of a product, service or brand. There are many uses for this methodology, but the results are almost always enlightening and revealing. Unfortunately for the enterprise IT specialist, this is one methodology you can’t throw more hardware and software at to scale up or solve a problem – the only compatible hard drive available is in each person’s head, and the software is custom made and varies by individual’s emotional and intellectual make-up.

     

    Once the IDI data has been analyzed, some consistent issues will invariably present themselves among the target audience – they will all or almost all mention one or two specific likes, dislikes, preferences, or peeves, about the product or service. Now the challenge is to see how wide and how deep the problem with these elements runs, and if it affects the buying decision to a significant degree. Survey research is now employed to drill down and discover the depth of the problem. The ins and outs of survey marketing are myriad, and best practices are easily found elsewhere. Suffice to say here that by overlaying the survey data upon the IDI inputs, a very accurate, true picture of the customer’s viewpoint can be created.

     

    This data, when analyzed, can give you invaluable insights in to all sorts of different emotional triggers, life-stage triggers, off-label uses, alternative audiences, and a host of intelligence regarding the product with respect to the intended target audience. For companies wishing to be or become customer-centric in their approach, these insights are vital to the effort, as they form the platform from which you build an engaging customer experience. If you know what the audience wants, you can deliver it, preferably in a way that resonates with that audience, is economically feasible to produce and buy, at the time when it is most advantageous to both.

     

    The best part of using primary insights to guide your creation of marketing outreach is that not only do you know you’re correct – the customer said so – but that it will hold up over time. Customer insights are not dependent on past activity, on a transaction that has been made at some point in the past. If you study how consumers make buying decisions, you’ll discover that there are a host of factors involved in making that decision, many of which are situational. In other words, if that same products were presented to the consumer under different circumstances, it may not be as preferable as it was when the transaction occurred. The time of day, the financial situation of the purchaser, the proximity to other destinations or products, the lighting in the aisle, the breath or cologne of the sales person, a huge number of variables you have no access to have to align in order to drive that transaction forward.

     

    Transactional data will never really reveal those variables, and while some can be controlled for using predictive software algorithms, the technology is imperfect and incomplete – humans are regrettably inconsistent. When you’re betting tens of millions of dollars on a marketing campaign, it may not be a good idea to rely solely on past purchase history and algorithms, and ground your decisions in data that considers the present, the future, and the emotional triggers of the purchase, not just the variables you can’t control.

     

    Removal of those variables, or at least controlling for them, can provide you with insights far beyond the current strategy or campaign plan, and lead you down roads to revenue you never even considered. An ongoing program of gathering and analyzing customer insights only strengthens and broadens the value of the insight data, and the richer that data, the more on-target you can be. Those additional streams of revenue from off-label usages, new markets, affinity and co-branded products, follow-on services and upsell strategies that actually work can add up to millions of dollars in the positive column for an enterprise-scale firm. The upfront investment in a customer insight program may appear steep at the outset, but when balanced against the potential upside and the lack of waste or loss due to misinterpretation or contaminated data, it looks like a bargain in the long run, one most enterprises would be smart to leverage.

  • Market Research Is the Answer to ‘Uberization’ and the Customer Challenges of the 21st Century

    Market Research Is the Answer to ‘Uberization’ and the Customer Challenges of the 21st Century

    Jessica delivers this message better than I could, so I thought I’d pass this along . . . we’ve been explaining this to clients for years, and she nails it!

     

    by Jessica DeVlieger  |

    April 4, 2016

    Customer behaviors around the world are changing. Fast. For businesses, the risk in not keeping up is all too real.

    The companies that really “get” their customers, like Apple and Amazon, are setting the standards, raising the bar high.

    Because of “Uberization“—in broad terms, displacement and marginalization by nontraditional competitors—customers across all industries now have higher expectations.

    As a result, staying relevant to customers is becoming increasingly difficult to achieve in a time when doing so couldn’t be more critical to success.

    Gradually, leaders are recognizing that relevancy demands empathy—to know customers as the real, complex, creative people they are—then instilling that empathy across the entire organization. It’s why, according to a recent IBM C-suite global study, 66% of C-level execs say they plan to focus on customers as individuals rather than segments (up from 54% who said so in 2013).

    Pole vault

     

    But cultivating a shared understanding of customers as individuals is easier said than done, especially for multinationals with millions of customers and dozens of offices scattered across continents. It requires departments to align and pay closer attention to the people they serve. To embrace new perspectives and fresh ways of seeing the world and the business. To then internalize that knowledge and use it to act with intuition and urgency. And, it needs to happen on an ongoing basis—not on a need-to-know basis—to meet customers’ needs as they change, therefore making the business more agile and adaptable.

    The way most businesses are structured today, it’s the market research and insights teams that are positioned to champion the customer-as-individual. Those departments are the official caretakers of consumer truths, and they are the people in the organization closest to customers.

    The question is whether market research departments are empowered enough, and have the right resources for, inspiring leaders and the company culture to change.

    The answer, usually, is no. Most market research departments operate as 20th century customer feedback engines, focused primarily on collecting and disseminating customer information through a well-intentioned series of disparate messages and reports. That approach rarely creates the desired impact. The empathy generated is fleeting, at best; and the drive to action stalls.

    Businesses can’t afford to continue to operate that way. Not when they’re faced with new challenges like “Uberization”; 21st century challenges require 21st century market research.

    The market research department must play a dual role: consultant and marketer, expert in both uncovering opportunities from customer stories and motivating colleagues, with clarity and simplicity, to take action. It will function with as much vigor on engaging stakeholders within the business as it does in collecting customer information from outside of it.

    That change will give Market Research a permanent seat at the C-level table. It’ll be held accountable by leaders to create broad customer empathy that drives growth, complete with defined goals, measurable KPIs, smart strategies, and creative tactics.

    Researchers will need to update their LinkedIn profiles and resumes to match the following four business objectives of the 21st century market research department.

    1. Connect the dots to bring customers to life

    Ask any market researcher today, and she or he will tell you: I don’t need more information, I need help synthesizing what it all means for the business. Finding value in a sea of data from various sources is difficult. And once found, it’s how it’s socialized that actually matters. It needs to be such a powerful and memorable narrative that it inspires decision-makers.

    For example, a retail bank launched an initiative to help their employees understand different types of banking customers more intimately. After collecting data on household income, average number of credit cards, retailers frequented, and other spending and saving behaviors, the insights team brought those customers to life in a fun and creative way. It assembled individual customers’ wallets (based on the bank’s key customer personas), each filled with common items, like a driver’s license, receipts, credit cards, loyalty rewards cards, cash, and family photos. Though the wallets weren’t “real,” they were tangible replicas, just about the realest window one can get into how a customer spends and saves. The wallets were shared among employees so that they could see, feel, and experience exactly who their customers are and how they manage their money.

    1. Create buy-in to help others see and act on the opportunity

    All the insight in the world doesn’t matter if it doesn’t somehow create urgency and willingness to make a meaningful change. And making that change means that everyone feels what the customer feels and understands the opportunity for the business.

    For example, a major retailer had lots of data showing customers’ frustrations with advertised products that were often sold out—or simply not there—by the time customers got to the store. But the data alone wasn’t persuasive enough to initiate action to fix the problems. So the insights team created a documentary-style film about one woman’s daily routine, highlighting the gaps in her experience and why the store’s failures made her life harder. It humanized the customer’s problems, leaders felt her pain immediately, and the company responded with greater urgency to fix them as a result.

    1. Align priorities and departments with a clear and collective agenda

    Facilitating alignment across departments can be complicated when teams are siloed and have their own priorities and perspectives based on their role and department. To create a collective agenda, you must make customers the central rallying point.

    In fact, 63% of CEOs say rallying their organization around the customer is one of their top three investment priorities.

    It makes sense: Customers create focus; centering work on their needs ends debate and swiftly moves solutions into action.

    A great example of this comes from a major pet food and supply retailer. The company realized that pet owners were answering questions about their pets from their pet’s perspective, not the owners’: “Prudence loves her new grain-free wet food!” for instance, or “Rufus is such a calm pup when he’s in the hands of the grooming staff.” That realization led to a game-changing insight: Owners consider their pets as the customer. In-person collaboration between executives at the most senior levels and shoppers helped the company land on a guiding principle that put pets at the center of business, like stocking foods at “pet-level” or pinning the names of employee’s pets to their lapels. Today, it’s a pet-centric lens through which every decision by every employee—from cashiers to the marketing team to the C-level—is made.

    1. Infuse a constant flow of customer empathy that affects company culture

    People become fluent in a new language by immersing themselves in the culture of native speakers—not just by listening to Rosetta Stone on their commute to work. The same is true when trying to build genuine customer empathy among employees. It can’t be a one-off engagement. It needs to be an immersive and ongoing experience that evolves over time, ultimately altering the company culture.

    Take, for example, a well-known consumer electronics company that had enjoyed years of success when led by its product-focused engineers. But, as competition heated up, the company’s growth stagnated. It wasn’t until company leaders made a long-term investment in embedding customers’ voices, experiences, and stories to drive strategy across divisions that the culture truly began to change. Executives and customers now regularly solve problems together in face-to-face sessions. Engineers innovate outside the box thanks to pictures and videos of the creative and unexpected ways customers use the company’s products. The culture has shifted, fueled by one thing: the customer. The business is growing enormously today as a result.

    * * *

    The ability to learn from customers and evolve with them is inextricably linked to a company’s potential for growth. After consultant and marketer, there might be a third hat that the 21st century market researcher wears: teacher.

    It’s the researcher’s job to shape the minds of the business so that everyone knows the rich and diverse perspectives of the customer. It’s the best defense against “Uberization,” and the only sustainable way companies will grow in the 21st century.

  • Insight Versus Data – Don’t Mistake The Two

    Insight Versus Data – Don’t Mistake The Two

    Contrary to popular belief, not only can’t “everyone do marketing”, but the myth that “the Marketing department dreams this stuff up every day . . .” still persists in modern corporate America. I’d like to dispel that last myth, and cover one other as well, that “We have lots of customer data, we can use that to guide our copy and creative platforms with greater success,” that has arisen again and again in discussions of big data with regard to marketing.

    Myth 1 – Marketing comes up with offers, images, copy, color palette, tag lines, slogans, ads and social media posts on their own, every day, just any old idea that surfaces can be put into play and used.

    Nothing could be further from the truth. This myth originated with and has been propagated by those who DON’T work regularly in marketing. Those who are on the outside looking in, so to speak, see a hive of analytical and creative activity going on, with seemingly little input from them or anyone else on the premises. This makes sense on it’s surface, because aside from the initial vetting of a campaign internally, people in the building have little to do with outreach marketing of the firm, unless by some chance they fit the target customer profile as well. We’re not marketing to staff, folks, we’re raising awareness among some very specific individuals outside of here, and their input is used heavily by our marketing pros to shape, craft and refine messages, offers, imagery, brand resonance, media choices and a host of other elements to make sure that those outreach efforts are as successful and cost p-effective as humanly possible. We work in a vacuum at our own peril, and avoid it like the plague as a result.

    Just because we create multi-page printed pieces, video and radio copy, social media posts and potentially entertaining memes and vines, doesn’t mean we’re all having “fun” in the marketing department, “making creative stuff up” all day.

    Myth 2 – “We have lots and lots of data points from our customers, we can use that in our marketing efforts, we don’t need customer insight research,” is the refrain we’ve heard.

    Not true. Customer insights are gleaned through a variety of methods, using all kinds of data. No single source is likely to yield enough information to form a truly overarching customer insight that will effectively cover the segment and guide creative and media elements accurately. Most customer data gathered today is transactionally-based data, either that they purchased something or attended something, (to become a customer), or relational data, (like logging into a website or social media outlet to view a product, referred or recommended our product to someone, or as part of a search). These are very tiny snapshots of singular incidents in the past, and we have no way of knowing what may have lead to or motivated those actions, or if they will ever take place again. Taken in aggregate, they can give you an inkling of preferences or trends, or show patterns with regard to seasonality, economic cycles, or changing needs, but they do not fully and accurately reflect any real human truth with regard to your product or company.

    In short, customer insights should be derived from an amalgam of different inputs, including former customers, potential prospects who fit the audience, staff, industry stakeholders and a host of others to provide a fully rounded, robust portrait of a single verifiable insight that can be extrapolated across the full sector, and applied to actionable efforts to drive emotional resonance and push to purchase. Short of that, true customer insight derived from a single set of data will likely be flawed and less than fully successful in driving marketing results forward.

    Gaining, analyzing and actualizing customer insights involves a specific process, involves a significant number of people, and still needs to have the resulting insight tested in the real world before being applied across the board in outreach marketing efforts. Anything less, and the insights you should be seeking are about your own marketing chops . . .

  • Can A Computer Know Your Customers Better Than You Do?

    Can A Computer Know Your Customers Better Than You Do?

    The rise of the machines, and the fear associated with it among humankind has increasingly crept into popular culture, in some subtle and not-so-subtle ways. Whether smart machinery or artificial intelligence (AI) is a good thing or a bad thing, especially as portrayed in film and fiction, often depends more upon the intent of the creator and the law of unforeseen consequences than the nature of the intelligence itself.

    On a daily basis, the average retailer gathers enough transactional and personal data to feed a growing intelligence network that could be smart enough to function on its own in less than a year of constant-cycle learning. That’s a tremendous amount of data! It takes humans 15 years to amass that level of cognition and ability, on average. Sometimes this “knowledge” is used for good, and because there are limits placed on its use, either by the technology itself or by the circumstances of its use, all is well. The nightmare starts when those strictures and parameters are eliminated, and the machine can “learn” from all sources continually and can act and react accordingly.

    The most widely used and easily recognized execution of this is the modern shopping algorithm. An algorithm is simply a comparative database that allows information to have tags attached to it, and when there are several tags in common between two items, one is deemed “related” to the other. This is a simple but very powerful idea. Humans are designed and hardwired to seek out patterns, both visually and in context, but computers are much better suited for this task as they have perfect recall, and aren’t influenced by loss of memory or emotion.

    Smart machines that use an algorithm can appear very “smart” to their human users. Amazon.com was one of the first, and most famous, users of a comparative algorithm, when applied to book titles on their bookseller website. Customers would make purchases, the computer would keep track of these purchases, and build a data profile from the tags attached to each item purchased. The tags would then be used to compare these purchases to other books also available on the site, and “recommendations” would be made by the algorithm, based on the number of tags in common. Pretty slick, and with the right verbiage attached to the recommendations, it looks almost like there is a human making the picks and the recommendations.

    TIVO television DVRs use this technology to make decisions about what TV programs you like and make recommendations and create recording timers accordingly. Not an infallible system, but it can be remarkably accurate, and it gets better the more decisions it makes and the more data it amasses. Now, extend that capability to association or non-profit membership groups, and as a marketer, think about your annual conference, seminar, or continuing education program. Where does that extension take you?

    Why not use an algorithm to help attendees pick conference sessions? Will it improve member engagement? Will it increase overall enrollment? Will it help balance out room set up and class sizes? Can it be used to build tracks or new program offerings in the future that are successful? My research tells me that this type of personalized approach would be well-received by the vast majority of individual association members in a wide variety of industries. The commercial marketplace has gotten them comfortable with the technology, and they understand that the ”Machine” isn’t making life-or-death decisions, merely suggestions based on history, commonality and goals already stated. Generally if it saves attendees time, allows them to navigate a wide spread of data quickly, make some choices effectively and the results are reasonable, I think most event attendees would welcome such a system with open arms.

    This type of innovation offers benefits for the organizer as well. Instantaneous feedback of popularity of each session based on purchases, the ability to add additional sessions in the same vein, or to cancel sessions that don’t attract an audience, means your conference department appears to have a solid handle on the needs of the members and can react to them quickly and effectively, with less waste. In short, the data embedded in the algorithm, and the resulting choices it returns, allows for smarter, faster, more efficient product and program development, with less risk, and greater reward.

    One or two membership groups have put the power of the algorithm to use with good result. I hope the industry as a whole embraces this use of technology to improve their educational offerings, and for those organizations with more of an a la carte benefit offering, that this same technology can be applied to member benefits as well, providing a highly personalized experience for each member, quickly easily and intelligently. I say, “Let The Machines Rise!”

  • Big Data VS Privacy – Who Wins, Marketers or Consumers?

    Big Data VS Privacy – Who Wins, Marketers or Consumers?

    In daily practice, good marketing, at it’s heart, is an attempt to get inside the head of as many people of a certain type as possible, and suggest that they take an action – buy something, become aware of something, donate to something, tell a friend about something. Maybe not the cleanest definition, but its functionally accurate.

    To do the best job we can, we use primary research on behalf of our clients, to learn the thoughts, feelings, emotional triggers and preferences of their customers, so that we can showcase their products, services of ideas in the best possible light, at the best possible time, using the most effective media to deliver that message.

    That research involves asking a lot of direct, probing, emotionally-driven questions of hundreds of people per client, and if you include surveys, that number soars into the hundreds of thousands over the years. Most people enjoy taking our surveys or talking to our staff on the phone, for a couple of reasons. We explain that their individual responses will not be used to sell them anything, ever. We explain that, together with hundreds of other people’s opinion, their opinion will help shape new products and services, and tailor them to their needs and preferences, making them better suited for them. We explain that they have a right to privacy, and that their individual responses will not be connected with their name directly, that their name or other information will not be sold to anyone, ever. With those assurances in place, people feel secure enough to share good, solid accurate insights with us and they help us do a better job. Everybody wins!

    Big Data gathering apparatus, on the other hand, offer no such assurances. Has the clerk at the grocery store register ever asked if you’re OK with them collecting your shopping data? Has the clerk at Target ever asked if you’re comfortable with them collecting data on what you buy, how often and when? Even though it might be buried in their user agreement, the folks at facebook or Snapchat have never made a point to call and ask you if they can share your data with Macy’s, nor has a representative from Google ever called you to ask if they can shadow your search patterns with that ad for that great bag or cool phone cover you found while shopping, and that seems to mysteriously follow you around the Internet for the next few days. You gave them the information freely, but you didn’t think it would affect you directly and immediately.

    There’s nothing inherently wrong with using data that is given voluntarily. The difference between gaining insight from research and using data to help capture the consumer directly is that feeling of invasion of privacy. Its hard to quantify a feeling of invasion, its even hard to describe accurately and reliably, as it differs from person to person. Its sort of like the supreme court’s definition of pornography – you just know it when you see it.

    So where does it cross the line between legitimate research to gain insight, and data manipulation to gain data on an individual basis? In our practice it starts with respondent awareness – we make sure our intentions are well known and easily understood by each respondent, and we record the conversations as a reference, asking them on tape if its OK to ask them questions, understanding that their responses will be used only in aggregate, will be anonymized, and won’t be sold to anyone. That assurance provides them some transparency to the process, and the recording helps us validate that we’ll keep our word.

    Data privacy is a growing issue, and as the data gathering apparatus represented by social media, retailers, payment processors, and marketers grows in size and sophistication, it will be an even larger issue going forward. Add increased use of mobile devices, increased web mobility and app utility, the growing capabilities of nefarious hackers and data thieves, and its easy to see these two elements, privacy and data research, colliding in a cataclysmic revolt every bit as transformative as the French Revolution.

    As marketers, we’re often accused of leading the data parade, and our Orwellian need to keep tabs on what people buy, what they register for, what they watch and what they say to each other is what drives all this privacy invasion and leads to breaches and leaks of personal ID information. This is largely an emotional reaction, unfocused and poorly reasoned. I need only point to the conundrum that when purchasers were asked to fill out an order form and include a credit card number, drop it in an envelope and mail it off to an unknown person, they have no trouble, but when asked to provide that same information over the telephone, have great trepidation about revealing those same 16 digits, and an even higher level of distrust about completing a form with that same information online. Much easier to snag that envelope out of your mailbox than it is to set up the apparatus to capture that info, decode it and decrypt it from a phone call or online.

    Marketers are facing a crisis if faith, of trust, because a few of us have abused consumer trust in the legitimate use of their information to gain market insight. Good marketing is based on research, and good research is based on trust. That pyramid is likely to collapse if data ethics and security are not rigidly observed, safeguards put in place, rules and guidelines observed religiously, and procedures followed closely in our handling of consumer data, no matter how it is obtained – if not, it won’t be much good anymore.

  • Patience Is A Declining Virtue

    Patience Is A Declining Virtue

    In marketing practice, we are called upon to determine customer insights so that our message can be directed toward the “right” audience, that it might resonate with that audience and persuade them to take action. Demographics play a large part in shaping that research, in tilting the questions in a way that will be easily digestible for the audience and give us the most insightful answers. Age is now the number one determinant of both duration and language skew for customer research we do for clients.

    Millennials are the largest single generation in history, and are now of an age where they make up a significant percentage of all sorts of list factors – they’re now parents, breadwinners, purchasers with discretionary income, investors, and drivers of cars, purchasers of houses, and all the other things that the Baby Boomers used to dominate. But they are decidedly different in aggregate, and we have no choice but to acknowledge this in our work if we are to serve our corporate clients and provide them guidance.

    One of the biggest general shifts the millennials have undertaken is their level of patience. Busy is the new normal, they’ve been over-scheduled by their parents for most of their lives, and they know no other way. As a result, time is more precious to them, and they are constantly pushing the envelope to find ways to do things faster, simpler, easier, more technologically assisted, more conveniently, to find some additional time to do what they want to do.

    How does that impact marketing? In lots of ways. as it turns out. In their attention span, absorption of ad messages has to be even quicker than ever. The new calculation seems to be about 4 seconds, based on banner ad engagement times by Amazon.com and e-bay.com. That means messaging must be as straightforward, as direct, as obvious as can be, to transmit the full meaning and all its implications in the time it takes to glance at your Smartwatch.

    In our daily work for clients, it impacts how many questions and what kind of questions we can include in any given research vehicle. Surveys have to be even more direct and shorter then ever before. According to research undertaken by Quirk’s Marketing Research Media,

    “Perhaps the level of patience for answering our surveys among the Millennial audience is deteriorating in the same manner as other mundane or routine tasks that we identified within our trend forecasting are being shunned. By isolating the past two years of research (Figure 2), a slightly different picture emerges.

    20160210-2

    Reviewing our most recent syndicated surveys shows that recent participation has been drop-ping off closer to the 13-minute mark, negatively impacting, on average, one out of every seven survey starts. By the time survey duration has reached the 20-minute mark, we’re looking at one in three participants deciding that we’ve overstayed our welcome and becoming intolerant of any more questions.

    When faced with the reality that our survey participants are growing more impatient, we’ve resolved ourselves to advise our clients to aim for the 12-minute mark, anticipating that youth participants will surely become less patient over the coming year.”

    Apparently, if you want to gather insights from this newly dominating demographic, the KISS rule applies in spades – simple, direct, accessible queries with no time wasted on niceties or the ever popular “rephrase to check for variance” is what’s going to get you there. And you banner ad creative types, take note – if you have to get your message across in 4 seconds, better sharpen your digital table stylus’ and buff up your copy editing skills – not so much for accuracy or grammar, which are also on the decline, but for brevity.

    Clearly, knowing your target audiences’ demographics is even more important now than ever, and the lines between groups blurs and the number of subsets and subsectors of each group grows daily. Data is only as useful as the context in which it is interpreted, so keep in mind to whom you’re speaking when devising communications strategies aimed at this growing and powerful group of purchasers.

  • Engagement Is Good, Revenue Is Better

    Engagement Is Good, Revenue Is Better

    There is a lot of buzz among marketers about fostering customer engagement, building engagement with apps and websites, creating communities with blogs and social selling. It all sounds great on paper, we should all work together, share your purchases socially, everybody knows everything you do, everyone’s on your side, we’re all a village, cumbaya . . . But when you’re standing in the aisle at Wal-Mart deciding what frozen dinner brand or dog food to buy, I don’t feel that my level of engagement with Purina’s website is the deciding factor. Marketing is about raising awareness in a positive way to influence and drive SALES. I can be as engaged as can be with a brand, but if a similar product is in front of me, and they are largely the same, engagement doesn’t trump quality, availability and price, and the sale will go to the one who fits those three criteria the closest. Even with B2B sales, I’ve been “engaged” with a number of websites and businesses prospecting my business via e-mail and other devices, but haven’t actually bought anything from any of them – I’d score really high on their “engagement scale” algorithm, but they haven’t made a dime off of me, and may never do so.

     

    Brand engagement is a long-term play. It needs to be tied to other awareness vehicles, timed promotions, backup media, and ongoing evolution of product benefit awareness in order to really be effective at driving sales. This is not a new idea, but it’s one which has risen to prominence recently along with the ubiquity of social media platforms, which provide the ability for person-to-person communication in a way heretofore not possible on the current scale. I can now tell thousands of people what I’m doing, what I’m interested in, what I’m buying, what I’m eating, cooking, enjoying, drinking, and more on a moment’s notice in real time. That means that if I’m sharing it with others, it’s boosting their awareness as well as my own for a particular product, service or item. That kind of organic, exponential awareness spread at that speed was unheard of just 15 years ago. Epidemiologists are familiar with the concept, but marketers only recently began to apply it to their efforts – indeed the term “going viral” is borrowed from the disease spread specialists, as information, or awareness, can spread a lightning speed unseen from the outside, like a virus.

     

    Just because I’m aware of a product or service that I’ve engaged with it on the Internet, does not mean that when the time comes I’m actually going to make a purchase. It may increase the odds some, but as we learned with the recent Powerball drawing, odds need to be changed significantly with a supreme effort in order to really affect the outcome. Social media engagement or website engagement is like buying 100 lottery tickets instead of one. It seems like you’ve boosted your chances of winning by 100 fold, but in reality, those other 99 tickets didn’t even move the needle.

     

    By all means, do A/B testing, make adjustments, formulate campaigns that include a mechanism for increasing engagement, but depending upon it to drive significant revenue could be a mistake. The basics of building ongoing awareness through media your audience utilizes, timing your efforts to coincide with that target’s needs or life-stage position, matching your demographics and psychographics and messaging to that of the prospective customer, are still the linchpins of successful marketing efforts, and enhancements and refinements to these, along with some boosts in awareness through effective promotion of specialty offers, benefit driven messaging, and creative imagery, will drive revenue upward on a consistent basis as the brand evolves and the audience grows. If you’ve got all those bases covered effectively, engagement is a nice to have, the icing on the cake, and a good set up for the upsell and cross sell to that customer base, due to the added time allowed for an opportunity to develop.

     

    Unless I miss my guess, the folks dwelling on engagement (which is notoriously hard to measure with any accuracy) don’t have all the basics in place and need a buzz word and a crutch to help them explain why things on the sales side aren’t moving as far or as fast as expected.

     

    Dwell on the basics of marketing, make sure all the right pieces are in place and working together efficiently, and keeping the pipeline full, then worry about engagement.

  • Lies, Damn Lies, And Statistics

    Lies, Damn Lies, And Statistics

    The world of marketing is fraught with data, we’re drowning in it, awash in a sea of numbers, statistics, charts, graphs, analytic dashboards keeping track of minutia that has little bearing on the bigger picture of framing and positioning the thing we’re marketing in it’s best possible light to the best possible audience. What was once about words, pictures, images, headlines, ideas, insights and engagement has been reduced to a series of tactical, digital zig zags, trying to maximize return on a micro level, and hope it scales up and moves the corporate revenue needle.

    Why?

    Do It Yourself

    One of the reasons that data has become so powerful (it always was, we just didn’t think it was cool to talk about it) is that not only is there a lot of it, but it’s easier to obtain and derive, and the costs are much lower, thanks to the Internet. In the bad old days, if you wanted to measure engagement or response, you had sales numbers (conversion), inbound phone call numbers (inquiry, “likes”), or account rep activity (lead gen inbound). Other than those in-house numbers, if you wanted to know more, you needed to dig much deeper, create a research study, engage a firm and have them do what they do and report back.

    Today, all the activity data, engagement activity, views, likes, dwell time, clicks, shares, conversions, and other forms of engagement signal are logged, categorized, organized and reported to you digitally on a minute-by-minute basis in real time, using inexpensive or free software. And it can all be accessed by anyone with a laptop and an Internet connection, anywhere in the world.

    Prove It . . .

    One other reason all this craziness over data is occurring is more corporate and has to do with economics. The marketing department has long been viewed as an expense, occasionally by the more enlightened as an investment, but only recently as having the potential to be a profit center. Marketers have always had the need to justify their existence pressed upon them, and we spend hours writing reports, dissecting response numbers and finding ways to make it look like the things we’re doing contribute directly to the company’s revenue and well-being. On some level, the more data we can present, the more attractive a case we can make for being provided, and spending, more money to do the things we know we need to do, but have to prove it to everyone else.

    In the real world, using data to gauge performance, learning and improving returns, and making decisions based on data is really the main idea – but we’ve been doing that for years. The real trick is to properly select and vet the data you’re looking at and using to make those decisions. Just because a number represents a count of a certain behavior or response doesn’t make it a viable or useful piece of data – it may not scale, it may not apply across platforms or audiences, it may not be sustainable, it may be badly skewed by events you have no control over. But it is data, and therefore useful, right?

    The other pitfall to all this data is that even if it is accurate, correct, vetted and sustainable, you need to find a way to convert that data to insight, and that insight into an action plan. You have to use the data to further the cause. Most data will tell you something on it’s own, but its not enough to go the distance. You need to step back, see the larger picture, put the data in context with other inputs you have proven already, and see if it flies.

    Lies, Lies, All Lies!

    Now we come to the lies part. Numbers and statistics can be manipulated to indicate almost any point of view, the insight comes in the interpretation. Averages tend to dilute or blunt insight, rather than amplify it. Statisticians have all sorts of tricks and formulas to manipulate data so that it can tell virtually any story you want – it’s all in the spin, how it’s presented. Even something as simple as college rankings, a long standing measure of the potential for success in leveraging education and brand to elevate one’s position in life in the long term, can be easily manipulated by marketers to tell a story that promotes the cause. If a college has slipped in the rankings from number three to number seven, is that slide an anomaly, is it due to something short term or environment that will reverse it self when conditions change? Even though that could be seen to represent a significant slide, it’s a virtual certainty that recruiters will be touting it as a “Top 10” college for years to come following the slide, hoping that nobody looks too closely at where within that top ten it falls.

    Use It Right

    The best use of all this data is to gain a clear understanding of the current position and level of success of your marketing efforts, establish a base line, relate it to growth, profitability, revenue growth, reach, market share or other commonly regarded metric, in order to use that baseline as a starting point for improvement going forward. If that happens, justification of added spending will be easily achieved, as activity can now be tied directly to results that impact everyone. Clicks and likes don’t pay the light bill or match the retirement funds, but if you can use data to show how you’re moving the needle, use it to improve performance by looking at the “right” metric, and make good decisions based on a few key data points, then that’s all the data you really need . . .

  • Could Your Business Survive Ten Days With No Internet?

    Could Your Business Survive Ten Days With No Internet?

    As fears go, loss of Internet access is climbing the ladder, and will soon join spiders, tornadoes, public speaking and cancer at the top of the national list. With all the threats presented by the modern world both international and domestic, the loss of the currently ubiquitous Internet is a very real possibility. Cyber Security has gone in just 15 years from a futurist topic on the seminar schedule at small, obscure IT conferences, to a huge industry and a Federal government priority,in an effort to preserve the integrity and functionality of this newly precious resource. Could your business survive the Internet-less apocalypse?

    So many businesses depend so heavily on the Internet for their marketing, either through organic search and SEO of their site, e-mail marketing and customer service, banner advertising, Adwords programs, re-marketing programs, to order-taking and fulfillment operations, that they could not function with no internet capability – web-only based businesses are out of luck from day one! Brick-and-mortar businesses have an advantage here, in that they may still have foot traffic, use traditional media like TV and radio ads, billboards, building signs, direct mail and print ads, to drive shoppers to the store – they would have to use cash to purchase anything if the Internet were “down” or didn’t exist, but they could function moderately well in the local geographic area. What would be most missed is the additional global outlet and customer base that the ‘net allows for.

    Professional services businesses would also function in a remedial way – law firms, accounting firms, consultants, and engineering firms still do much of their marketing and lead generation through traditional means – but would be hampered in providing some of those services in as quick or timely fashion as we’ve become used to – “e-mail me that spreadsheet,” and “give me everything Lexus-Nexus has on . . .” would be things of the past, but those laws are still “on the books” and in the books at most firms, and the search, while laborious and time consuming, could still be performed manually, and those ledgers still record debits and credits just fine, no batteries required.

    The US Postal Service would likely see a huge uptick in business, as e-mail ceases and businesses have to return to writing memos and mailing them, either internally or externally to clients, customers and far flung colleagues. It might make some of those long-winded and knee-jerk missives that show up in your inbox on a daily basis a bit more scarce as well, as business people are forced to craft more thoughtful communication to commit to paper and mail. It would certainly allow for more time to proofread and edit, something most e-mail desperately needs, so not all of this non-Internet fantasy is bad . . .

    Certainly the lack of social media communications platforms would free up more time to be productive, although those businesses that exist or thrive using social media marketing as a reason to live would disappear, they would likely be supplanted by higher attendance at conferences, tradeshows, meetings, seminars, more client contact, which would help out the hotels, airlines, conference venues, as face to face returns to fill the vacuum. Talented writers would have to work for a publication, magazine, newspaper, ad agency, or radio or TV outlet, as blogs would be impossible. Maybe they’d remember how to grow and hold a following, build an audience, and even get paid to write . . .! Editors would suddenly be back in fashion, curating the news and crafting public perception of current events, rather then the gang input, do it yourself, Wikipedia approach to learning about the world around us.

    Take five minutes, and mentally catalog all the things in your business, either marketing or operations, that depend upon the Internet to exist or function. Were a global calamity to occur, could you continue to function as a business without it? Is there a written (and printed out) plan for this eventuality? Keep in mind that we’re not talking about the stone age, electricity still works, computers still function as free standing machines, connect to printers and other computers over local network wires, the phones still work (unless you have VOIP service only), its the global connected-ness, the openness, the instantaneous access to global information that’s gone. If nefarious evil-doers were to knock out large sections of the global ‘net, would your business survive? If your fleet of trucks uses credit cards at the gas pump, your transactions are credit card only (the return of the chick-chuck slider machines would be rapid and expensive), your equipment needs GPS reports to function, your outreach is web-only, your pipeline driven solely by Google Adwords, you might be out of luck quicker than you think . . .

    Should we continue to base our businesses heavily around the Internet’s availability and ubiquity? Probably. Should it be our only way to continue to further drive commerce? Likely not, as you just never know . . .

  • Is Your Business Card Your Most Powerful Marketing Tool?

    Is Your Business Card Your Most Powerful Marketing Tool?

    Think about it: Every meeting you attend outside your company, every business function you attend, every group you join, even casual encounters at sporting events, concerts, classes and athletic competitions like races and charity bike-a-thons, the one thing you can use to conveniently provide your contact info and your business “story”  to a new acquaintance is your business card. It carries your company brand, it carries your professional reputation, your phone number, e-mail address, website URL, physical address, even a level of achievement and professional status – that’s a lot of heavy lifting for a piece of card stock 2″ x 3.5″!

    For small businesses, the many choices made in creating a business card are each vitally important to be sure it can carry all that weight effectively. Nice layout but thin, flimsy stock says I’m just starting but don’t have the resources to spring for the good stuff (sending a subliminal message that maybe I’m not concerned with other details of my company’s image, either). Standard white with black type might send the message that basic is good enough, I don’t care enough about appearances to even pay attention to subtle design cues and engagement that some color can create. Way colorful and “cartoony” might make it difficult for the recipient to grant your firm the importance and weight of consideration it deserves. Lots of type and images of you might come off as narcissistic if over done. Too “designy” might reduce the impression of seriousness and business acumen that goes behind your creative decisions. Type too small to read, too much information packed in illogical order, funny, multiple or odd type faces that make it difficult to read or absorb quickly, are all poor choices, and we’ve seen them all at one time or another. All these choices are critical to convey the message in just the right way that really makes you memorable, carries your brand effectively, and connects that person who receives it with the way you can somehow help them achieve their goals, no matter what they are. Like I said, a lot of pressure for a small scrap of paper . . .

    With all that going on, it’s usually best to leave the design, layout, and production choices to a design professional who has a reasonable portfolio of business identity work. That doesn’t mean your new sister-in-law who just graduated from art school can’t take a crack at it, depending on what type of business you’re starting or promoting, but her input should be able to stand on it’s merits, not on her attendance at Thanksgiving dinner. There are basic design tenets that should be adhered to when crafting an effective business card (and other identity materials), but those tenets leave a huge margin open for creativity and ingenuity! Don’t feel boxed in by convention, just give due weight to the experience of those who are successful at creating these little buggers.

    For the money, business cards can be your most effective weapon in the battle for recognition, growth, brand awareness, new customer acquisition, and professional networking success. Its certainly the oldest, and most valuable dollar for dollar. Sure, digital elements are global, changeable, adaptable, mobile and modern, but the lowly business card travels further, gets kept longer, is more portable and shareable, carries more information and meta-information, more memorable tactility, and more engagement than a web banner ad URL could hope for on its best day!

    Next time someone hands you their business card (hopefully you asked for it first), take a moment and study it, feel it, read both sides, absorb it for a moment, then look up and connect all that information with the person in front of you. Does it all hang together, is it “as expected”, or is it in jarring contrast to the person, company or position you’ve encountered in the person you’ve been speaking with? That jarring disconnect is to be avoided at all cost, as it reduces that attachment, that engagement, that connection and memorability that are the card’s main job. If the card looks and feels just like you’d expect after speaking with the person for a few minutes, observing and listening to them, then its a winner, and carries that person’s brand, their status, their stature, their ethos and of course, the way to continue the conversation later, perfectly packaged in one small fragment of wood pulp. Not bad for a few bucks and some thought . . .