davidpoulos.com

Category: Ethical Marketing

  • Persistence More Important Than Ever To Close The Sale

    Persistence More Important Than Ever To Close The Sale

    In the modern world, the practice of sales, whether it be called “Account-based Marketing” or Business Development, or some other euphemism, is as tough as it’s ever been to be effective. With over a thousand marketing messages or more hitting the average citizen every single day, it’s harder than ever to cut through the clutter, to get people’s attention, to gain their engagement and their focus for even a few moments, let alone tell a compelling story and persuade them to take whatever action that moves the needle for your firm. One of the most effective tactics is one of the oldest, and it still works in today’s environment – persistence.

    We’ve all seen the memes online for success in sales, indicating that most B2B sales are made after the 12th or 14th contact with a prospect, less than 5% get made after the initial contact, etc. A key ingredient seems to be “keeping after the prospect until they cave in and buy.” I don’t frame it that way to sales-based clients, but that’s essentially what you’re trying to do. Entire systems and software platforms have been created and sold based on this endless tracking and following strategy, scheduling the next contact, ranking the viability and likelihood of a sale, gauging their ability to buy, and when. The systematization, the automation of the sales process has been driven to new levels in an attempt to counter this profusion of messages and the shortening attention span of the prospect audience.

    Technology has made this not only possible, but extremely easy, and as a result, sales management of all stripes have latched onto this approach as a way of integrating sales into their other business processes. You can now track and call a “Lead” anyone who clicks on a link in a search results report. And beyond that, you can have your messaging and tracking follow them on their entire journey through the ether that is the Internet, popping up whenever and wherever they travel.

    This is sales?

    True sales professionals know that these are simply tools, not replacements for a solid set of skills, like active listening, seeking out pain points, probing for possible objections, collaboratively crafting solutions, over-delivering and under-promising. The essence of all of these things is that you have to actually get in front of and speak directly with people who make the buying decision. Conducting sales activities “remotely” will only take you so far, at some point you have to interface with the customer. Usually more than one such engagement is required, because the basis of a sale is trust n the sales person, and trust in the company behind them to back up their promises and claims, and that trust takes several encounters to achieve. Hence the need for persistence, to keep coming up with a new, compelling reason to get in front of that prospect and convincing them to see things your way.

    The skill in all this occasionally takes the form of sensitivity – the gauge of how tolerant the prospect will be in receiving follow-up messages, calls, e-mails, communications from the sales person, before they start to work against them and annoy the prospect. Persistence is not just being relentless. It’s being in contact on a regular, ongoing basis, and offering something of value to the client with each interaction, building trust progressively, offering to work the prospect through whatever challenge you’ve agreed they face together, showing them how you’ll achieve the desired result. For professional services or big-ticket items, the consultative approach is by far the most effective.

    And that takes persistence.

    If you’re on the fifth or sixth contact with a well-qualified prospect, it may seem like overkill, but if you hang in there, the seventh touch may be the charm. For efficiency’s sake, the game is to try and reduce that number of touches to the most effective use of your time and resources without negatively affecting the outcome. But if you plan on investing significant time with each prospect, and have a constantly full pipeline of incoming prospects, eventually a rhythm develops and you can gauge how many touches are required for each one, and can start to predict and plan your time investment accordingly.

    As each one moves through the pipeline toward the close, a new one starts with an initial interview, and proceeds through the consultative system toward a close and into the delivery or service phase. By being systematically persistent, you’ve remained top-of-mind without being annoying and driving interest downward, provided the prospect with value before the sale, and shown your ability to deliver, to keep to a schedule, to bring something to the table, and have developed trust.

    Now that’s sales!

    Mechanizing, automating, scoring, tracking, weighting, prioritizing, and all the other functions are merely supports for the basic activity of communicating effectively and persistently with the customer to achieve a result. Of course all this communication has lots of other benefits as well, since the more you know and can learn about the customer, the more effective you can make the solution you’re delivering, and the more opportunity you can uncover for additional sales interaction with them – they’ve told you what they want, you just have to deliver it at the right time in the relationship.

    Message clutter, short attention spans, over-scheduling, software profusion, excessive meaningless contacts and content in the inbox, are all enemies of the practice of effective sales, which requires honest, direct, persistent communication with actual people. Everything else is distraction, which won’t put food on the salesperson’s table, or fill the company coffers with anything but empty promises. Avoid distraction, dig in, and connect with prospects – they’ll appreciate your honesty, and enjoy the attention.

  • Customer Engagement: Make Your Sponsorship Count

    Customer Engagement: Make Your Sponsorship Count

    There are many forms of sponsorship businesses can use to their advantage: from the check written to the local Little League baseball team to help offset the cost of uniforms (with your name on the back), to local sponsorship of a national charity event, to owning a major golf tournament or NASCAR race. Each has its own audience, it’s own impact, and it’s own way of engaging the audience. The trick with all of them is to create a positive, lasting and active emotional connection between your brand and the event.

     

    Brand activation for a sponsorship is one of the toughest marketing challenges most businesses face in their effort to raise awareness and drive recognition that can boost sales over time. The magic is in the matchup of the brand and the sponsored entity. The audience has to intuitively “get it” when they see the sponsor’s name in connection with the event, which means that there needs to be at least some rudimentary logic to the pairing of the two. There are some pairings that appear to be, well, natural in how they are executed, but I’m a firm believer in the tenet that there are no coincidences, and that most simple, natural occurrences are engineered by someone or something, although not necessarily for their own purposes. Auto racing promotions by oil companies, tire companies, engine builders and the like seem like natural extensions. Beer, cigarettes, soft drinks, and other consumer consumables, seem like a bigger stretch, until you consider that the audience for the race is the tightest demographic match to their product buyer possible, based on their own internal research. A huge chunk of race fans enjoy a Coke regularly, and in earlier times, the vast majority of race fans enjoyed a Winston or Marlboro on a very regular basis.

     

    Even those famous pairings required some time and effort to appear natural, and be linked in people’s minds permanently. Not only were there competitors in each category to wrench the spotlight from, but they had to find a way to activate the sponsorship so that all the dollars they spent paid off, by moving the product sales needle in some predictable way. Pennzoil, Valvoline, Quaker State, MobileONE, and a host of other petroleum brands vied for NASCAR sponsorships, but only one would eventually rise to the top of the recognition heap in that particular type of racing. The winning brand crafted a long-term series of ads, promotions and other outreach content that pinpointed and brought to light their involvement with high performance activities. You could put it in your Chevy, but you knew that it was developed for and was used in a race car, making your grocery-getter a little more like the race car you couldn’t have. Aspirational activation is a strong driver of success in sponsorships, and has been used to promote luxury brands and commodity consumables alike for many years with great success.

     

    Athletic endeavor has been fertile ground for this type of approach, because athletes have long been role models of persistence, hard work, grit and perseverance against the odds. Aspirational stories abound about athletes, and since they enjoy extensive media coverage, athletes and their stories are readily available to the public. If consumers aspire to be like the great athletes they watch and read about, then emulating them is a logical step toward making that aspiration a reality. If Tiger Woods wears a Tag Heuer watch, maybe if I buy one I’ll be a little more like him, run in the same company as he does. The athletes’ brand transfers to the product, and in some cases the reverse as well, creating that “natural” pairing. You’d expect the winner of a slew of majors in half that many years, with lifetime earnings in the multi-millions, to wear a pretty high-end watch. If Tiger had a Timex endorsement, it would have created a bit of a disconnect for the audience(s), and that natural feeling would not exist, diminishing the positive effect of both brands, diluting the aspiration, and reducing the effect on sales to the point of being nonexistent.

     

    On a smaller scale, middle market businesses can make sponsorships pay off quite well if they create or find a way to activate that sponsorship emotionally with the audience. The key is still to make it aspirational and activational. The aspiration can often come from the sponsor’s own position in the market. The largest commercial bank in the state sponsoring a business organization designed to build wealth and commercial connections makes perfect sense. Offering unique access or benefits to the members of that group makes it activated and effective. Market awareness, brand recognition don’t do all that much unless the target audience frequently finds itself in a quandary between two entities – the one with the higher recognition has been shown to win more frequently and more consistently, however irrational that choice may be for the consumer.

     

    Being in front of the right target audience for extended periods of time offers the recognition, but with no activation or aspiration, the sponsorship will be less than ideally effective. A male country music artist’s tour sponsored by Prius doesn’t have the same level of activation and almost no aspiration, when compared to Ford trucks. It’s a matter of cultural understanding, and matching the market leader to the aspirations of the audience. Country music fans clearly care about their environment as much as the next fan, but their concern takes a different form than saving gas or reducing pollution.

     

    Big brands should select their sponsorship opportunities carefully, to be sure that the target audience’s aspirations and activations align with their values and cultural norms. Done correctly, your sponsorship can be one of those “natural” pairings that lives in consumer’s minds for a lifetime.

  • 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.

  • 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.

  • Content, Shmontent – Providing Valuable Insights To Prospects Will Convert Them To Customers, No Matter What Form It Takes . . .

    Content, Shmontent – Providing Valuable Insights To Prospects Will Convert Them To Customers, No Matter What Form It Takes . . .

    The top marketing buzzword for 2015 has got to be “Content,” surpassing “Big Data” from 2014. Everywhere you look online, in magazines or journals, webinars, conferences, you’ll run across tips, tricks, advice, approaches, models, templates, secrets and techniques on how to generate, improve, disseminate and offer content that will effectively convert inquiry to customer. It’s nearly ubiquitous, and clearly some content is better than others, and some is more appropriate than others, and some should never have been produced or disseminated at all.

    My feeling is that content marketing is not new, it’s one of those tools in the bag that solid progressive marketers have latched onto because the pathways to delivery have gotten broader and easier. Content is essentially in the same genre as sampling programs, advertorials, forced free trials, and other marketing tools where the creator can put their knowledge of their industry on display, demonstrate quality or level of service, demonstrate their understanding of issues that affect their industry, and provide possible solutions at a lower engagement risk to the recipient than actually purchasing a product or service. It allows the creator or the distributor to shape their brand perception, elevate themselves to expert status, show thought leadership, and hold themselves out there as someone who offers solutions, not just gripes about the challenges facing their industry or line of business. There’s nothing wrong with any of this, it’s a terrific way to accomplish the goal of building credibility and showing forward thought, but it’s not as shiny and new as the most recent generation of marketers would like to believe – the delivery system is new, but the model is not.

    Pioneers in content marketing include John Deere corporation, who created a magazine featuring uses for it’s farm equipment in 1898, The Michelin Guide promoting travel and offering insights to travelers in 1900, and Jell-O salesmen offering housewives a recipe book featuring Jell-O as a key ingredient in 1904, and Betty Crocker cookbooks touting uses for their cake mixes in 1912 or so, and so on to the point where recent statistics show that 96% of corporations are using some sort of content marketing in their mix in 2014. The telling statistic in that same report is that, among respondents, only 21% of those using content marketing felt they could accurately track its ROI. I thought marketing was about testing, measuring, data-driven action that creates more efficient and cost-effective drivers of awareness and sales conversion . . .

    Hopefully, content won’t be shown to be just the next big, shiny object marketers latch onto, use inappropriately until it loses it’s effectiveness or relevance, or until the next shiny object comes along.

    To see how to do Content “right,” pick up your copy of “The Marketing Doctor’s Survival Notes“

  • Let Customer’s Imagination Flow for Effective Research

    Let Customer’s Imagination Flow for Effective Research

    If you want to boost sales, increase membership, enhance volunteer participation, increase market share or find new profit niches, the best methods start with knowing your target audience. One of the most effective ways to do that is to listen to them. How you listen, and how you organize and collate the results of that listening is the determining factor in the usefulness of the data, and the accuracy and actionability of your analysis. Clearly, much depends on the goal, but the type of research you select will drive the type of information you receive, and dictate how reliable it is.

    For sales-, membership-, and interest-based organizations, a method termed “Right-Brain” research could hold the key to cost effective, actionable information you can use quickly and effectively to increase your knowledge of prospective customers.

    The human brain consists of two “hemispheres” left and right. Based on Nobel award-winning research by Roger Sperry in the late 1960s, it was determined that each has different functions and characteristics associated with it. Sperry’s research showed that the Left side of the brain is responsible for the more linear functions and thoughts – math, computation, organization, languages (not speech directly), rational analysis, value prioritization and decision-making. The Right side is responsible for the more interpretive and sensory aspects, like art, music, philosophy, creativity, visualization, and imagination. Left is rational, Right is more intuitive and emotional, while neither is exclusively that way. In fact, the aspect of “handedness” is reversed; with the right side controlling motor and other functions on the left side of our bodies and vice versa. Recent studies have proven this to less than completely accurate, but it seems to work in practical applications.

    Often in decision-making, especially regarding purchasing behavior, the Left side is informed by the Right. The Left rationalizes the emotional inputs from the Right to drive a purchasing decision. To drive sales, it is fundamental to appeal to that tricky Right side. When divining the needs of the customer or prospect pool you’d like to reach, it is important to gather and record output directly from the Right side. One way to accomplish that is through verbal communication. A long-form, personal, one-on-one discussion with customers, but on a large, organized scale, will elicit results you can put to use in crafting a strategy to approach the entire pool of prospects. In short, the resulting data from such small group research is projectable.

    Right-brain research has been used to test new products in the prototype stage, test new concepts for advertising, movies, even gauge the effectiveness of customer service or test brand attributes for entire companies. It can be very effective, but it requires a high level of organization, some time and patience in listening and interpreting the results, and some resources to create the components and arrange for the interviews.

    The components of this method are fairly straightforward:

    • A set of goals for the research should be established and communicated to all involved – what do you hope to find out or accomplish when you are done?
    • Describe the target audience for this goal. Discover what attributes they have in common, what characteristics can be used to select them from the general population, and how they differ from the rest of the audience.
    • A profile of the ideal participant is developed. That profile is used to select a representative sample of respondents to participate in the interviews. This profile can include age, gender, marital status, purchasing behavior, geographic proximity, socio-economic status, professional standing or experience, education, membership in organizations and many other properties.
    • A Discussion Guide or Study Guide is created. This is the blueprint for the interviews, the guide for the interviewer to weave into their questions and discussions with the participants. It starts with the goals from the first step, to be sure that the questions drive responses that allow the researcher to answer the goals. It sounds simple, but if the goals are not realistic or the scope of the study is too broad, it will show up at this stage. This study guide is the key to effective implementation of this type of research. The questions have to be formulated in such a way as to elicit a response that is accurate, honest, direct, and emotionally unguarded. Often questions are asked multiple times in different ways to check for consistency of the answers.
    • Create the list of possible participants. In some cases, especially for consumer research of this type, the facility can offer some assistance in this area, as they often have pools of potential respondents and a good database of names and demographic data from which to select a pool of candidates. Selections are made based on how closely they fit the selected set of attributes from the profile.
    • Candidates are recruited by phone, either by your staff or by the facility, and the offer is made. Most participants are compensated for their time, either with cash or an incentive gift of some sort that will appeal to the intended audience. Professionals like doctors and attorneys are usually compensated at a higher level as their time already has a given “value” in monetary terms, an hourly rate.
    • Respondents are scheduled for their interviews, which are usually 60-90 minutes in length. More than 10 interview sets per day per interviewer are not recommended as fatigue for the interviewers tends to taint the results. More than one interview can be conducted at one time, depending upon the availability of interviewers and the size of the facility. Over book initially on each day to account for no-shows when you confirm the schedule the day before the interviews by phone.
    • The interviews are conducted by skilled interviewers, professionals who are personable, knowledgeable, aware of the goals to be achieved, perceptive and skilled in interpreting human emotions and the associated verbal and physical cues that telegraph them. They are terrific listeners, and skillful at guiding the conversation to keep it on track and on time. The facilities can often recommend or have interviewers on staff.
    • Each interview is recorded to capture both audio and video, and tapes are labeled and packaged with the release form for each subject for later reference.

    Once the interviews are conducted, the tapes are reviewed, and transcripts are made, to remove any “image bias” generated by the subject’s appearance. Those tapes and those transcripts are used to analyze and codify the results, to distill them into some sort of organized format that can be used to make recommendations for action.

    How do you make the jump from transcripts to action?

    Analyzing the results of such research is a skill unto itself, as the interviews generate a huge amount of data, buried deep in the responses. It takes time and patience,(and a very left-brain-oriented person) to organize, sift, and distill all those conversations, picking out commonalities and similarities among them, and highlighting stark differences and inconsistencies that can signal false results, or emotionally guarded responses. Once that glut of data is distilled and interpreted, those interpretations are put together in an organized fashion, ranked, rated and codified, much as you would survey data or focus group data. Those ratings and rankings are put into a report, along with recommendations for action.

    Uses for the final analysis vary widely. Some distill the video recordings, editing them down to some representative responses for each major question, some pro and some con, and present them in video form along with the written analysis. Sometimes, just the transcript is enough to get a sense of the trend of the responses, and can show glaring problems or highlight positive areas simply and quickly. Sometimes the two are combined in a multi-media presentation for added impact.

    This type of research can highlight any number of aspects of the prospect pool, depending on how the research guide is structured. The more aspects of the prospective audience that are included in the study, the less depth you get in any one area. For a accurate study that is statistically projectable, and has a high degree of confidence, 30-40 interviews will usually suffice. Depending on how small the area of interest or niche you want to study, the toughest part might be finding enough respondents to interview.

    How does The Right Brain Approach complement other research methods?

    The Right Brain Approach measures emotions, not people.  Quantitative data is valuable, but the information it provides can be even more valuable when used in conjunction with Right Brain Research.  For example, if you conduct Right Brain Research before a quantitative survey, you will know what the key issues are and will be able to ask the right questions and ask them in the right way based on the actual language that consumers use.  Once Right Brain Research results are known, future surveys can target the factors that affect buying decisions with more accuracy.

    How can we use what we learn from Right Brain Research in conjunction with the results of our quantitative research?

    What you gain in understanding from Right Brain Research will illuminate the information garnered in quantitative assessments.  Now you have a chance to know the rest of the story!  Actually, the Paul Harvey analogy is an excellent one.  He tells you all the facts with no interpretive framework.  Your mind goes off in all different directions trying to make sense of what he is saying.  Then he hits you with a surprising ending or twist and all the facts make sense in a startling way.  This is what Right Brain Research can do for your company/brand/packaging.*

    No matter how you approach it, speaking directly with a population closely representative of your target audience is extremely empowering in it ability to accurately inform your creative, sales, membership recruitment or product development activities. You can’t know too much about customers, and this method allows you to gain insights that can’t be accessed any other way quickly, efficiently and cost effectively.

  • Build Customer Brand Loyalty by Letting Them Depend On You

    Build Customer Brand Loyalty by Letting Them Depend On You

    Consumer’s purchasing behaviors have changed over the last 20 years, yet many companies are still marketing like it was 1954, pushing down advertising messages, focusing on media buys and eye-ball numbers, knowing little about how customers decide to purchase their products, how often, and most importantly, why.

    Itamar Simonson, a marketing professor and researcher at Stanford University, posits that consumers have essentially three categories of input when making a purchasing decision: Preferences, prior personal experience, brand impression (P), point of purchase messaging, advertising from outside sources, packaging, shelf positioning, coupons, price point, (M), and the input of peers and others they know or have seen, like online reviews by customers, friends and family, co-workers, etc, (O). There is a balance between these three that needs to be satisfied, and he contends that it’s a zero-sum game, since the more you rely on one factor to make purchasing decisions, the less you rely on the other two.

    Your job as a marketer is to make marketing, (M), the most influential it can be, since it’s the only factor you have direct control over. But this can back-fire if the other factors are too far out of balance one way or another. If all your marketing messaging, packaging, color selection, product size, convenience, media placements, shelf placements are all perfectly aligned, but the product itself is too far down-scale for the audience, or the quality is low, or the need for the product disappears or is usurped by an innovation, you still lose the race with the consumer. Too many negative reviews, bad word-of-mouth buzz, poor peer referral, and even if the marketing is perfect, the product will tank.

    This effect is tied to several factors inherent in the product itself. The higher the complexity, the broader the range of choices, the more important peer review becomes. The risk of making an ill-advised purchase rise with the level of price and complexity of the product. A carton of milk isn’t too complex, and the price point is relatively low risk, as purchases go. Under those circumstances, even though there is a seemingly ever-widening range of choices of types of milk, (P) plays the largest part of the purchase decision. It would take a tremendous amount of marketing dollars to shift that and make people’s perceptions and purchasing habits change. On the other hand, items like cars, computers, and personal consumption, (like restaurants), rely increasingly on peer reviews to drive purchasing behavior.

    As marketers, it’s our job to make our efforts so direct, so appealing, so transparent and dependable, to make our brand so reliable and stable, that our brand burnishes consumer’s choices of ANYTHING carrying that brand. That makes (M) the biggest factor, and develops a level of trust with the consumer that really moves the needle in the long term. This serves several purposes, including strangling competitors and locking them out, expanding the brand’s circle of influence, broadening the potential audience for the brand, and keeps the brand evolving and contemporary with the target consumer as their behavior grows and shifts throughout their lives, keeping the brand relevant.

    Review sites and their reviewers change constantly. If you want to win the battle for consumer mindshare, continually strive for quality, keep your brand consistent with that quality, and go the extra mile for customers – that way no matter what the platform or source of the review, they will be overwhelmingly positive and you’ll get the purchasing nod.

    Did you find this interesting? If you’d like more information like this, subscribe tot his blog and they will land in your inbox weekly, FREE. Also, don’t forget to pick up your copy of “The Marketing Doctor’s Survival Notes”

     

  • Can You Spare 111 Minutes for Better Direct Marketing Results?

    Can You Spare 111 Minutes for Better Direct Marketing Results?

    When we get near the Holidays, we often get requests to do special mailings, Holidays card mailings, special e-mail templates and the like, usually these projects consist of smaller batches and less-organized data, and often for the printed material, not particularly machinable materials. If there is one area that could save mailers money, and make the process run more smoothly and quickly, it’s data hygiene.

    A clean list is a thing of beauty. Each piece of data has it’s place, it’s all in the right format, it’s been put through NCOA, it’s been postal standardized, CASS Certified, in zip order, and will personalize and mail completely and reliably. A responsive list is a clean list – there’s nothing worse than getting mail at your address with someone else’s name on it, or with your name spelled incorrectly, or genderized incorrectly. I had a male friend named Tracy, and if I had a nickel for every piece of mail he got addressed to Mrs. or Ms. Tracy Smith, I could have retired long ago. He learned early on that if mailers didn’t know him well enough from his purchase history or habits to properly genderize his name, they didn’t know him well enough for him to spend his money with them. Good lesson there, mailers.

    For the smaller projects, data organization and software platform choice can also save you money. Make sure that your fields in your database are labeled clearly and intuitively. First Name, yes! Name 1, no! If you’re using Excel, for smaller projects, under 1000 records, this will still be quite adequate if the spreadsheet is set up correctly. Even a table in Word, for really small projects, say under 200 records, can work if the table is set up correctly, so that the fields can be edited in aggregate, sizes and type fonts adjusted to fit the label template being used, etc.

    For anything over 1000 records, a real database, Access, or Act!, or a straight ASCII file, can work well. Please include a record layout with these, so I can see how your fields array, and make sure you’ve included all the right fields to make it mail properly.

    For e-mail drops, especially holiday lists, its worth taking an hour and reviewing each address, one by one, to see if

    1) It conforms to the standard of an e-mail address: xxx@xxxxx.xxx

    2) You can weed out the ones that are sent to a general mailbox, info@xxxxx.com. When you run them through the mailer program and it personalizes each greeting, “Dear info” won’t really work.

    3) You can confirm that these recipients are still at that domain and if the domain is legitimate or live

    All three of those steps, for a modest-sized e-mail list, should take you roughly an hour and a half or less – our list took 111 minutes to standardize and vet, including a random sample being looked up on their website to check the domains and to ask around the office to see if that contact was still at that address. In that time, we spotted and removed roughly 20% of the list, saving us the cost of not only sending that mailing, but others subsequent to it, and cut way down on time spent sorting and handling the bouncebacks, and boosted our response percentage accordingly on future mailings using that list. Its a win-win if there ever was one.

    Spend a little time now to clean and vet your list, and it will save time and money later, likely for the balance of the year.

    If you found these tips valuable and would like more information to make your marketing program more effective, pick up a copy of “The Marketing Doctor’s Survival Notes”

     

  • 5 Ways To Waste Your Firm’s Marketing Budget On Research

    5 Ways To Waste Your Firm’s Marketing Budget On Research

    Alexandra’s hit it on the head with this one. Precisely what we’ve been telling our clients for years.

    Top 5 Ways to Waste Your Professional Services Firm’s Money on Research

    By Alexandra Marigodova

    More and more firms are discovering the extraordinary power of strategic marketing research. In fact, Hinge’s own research shows the firms that conduct systematic research on their current and potential clients grow from 3 to 10 times faster and are up to 2X more profitable.

     

    Faster growth and more profits – that’s the power of research. But in order to work, it needs to be done right!  This blog post lists some of the most common, budget-murdering mistakes that are easy to avoid.

    1. Use Research Designed for Consumer Products

    The truth is, marketing research started in the consumer sector in the 1920s. Client research built on consumer product research is truly the “mullet” of professional services research. It’s out of style, it doesn’t quite fit, and it makes us cringe here at Hinge.

    Think about it. Trying to figure out how to sell accounting services using methods designed to market baby formula just isn’t the best strategy. Purchasing a product at the supermarket involves less risk and different decision makers. This is one sure way to waste your firm’s hard-earned money.

    Instead: Use research designed for professional services. One thing for sure, professional services buyers don’t purchase on impulse. To design the right research, you first need to “pilot test.” Ask open-ended questions, then turn them into categories. First explore, and only then narrow down.

    1. Ask Little Questions

    By nature, people are greedy. Many try to pack very granular, nitpicky questions to get the most bang for the buck. Our mind tells us to add, when we should be subtracting. Asking little questions is one of the easiest ways to introduce bias and get meaningless results.

    Instead: Focusing on the big questions will yield the most results. Think of it as removing layers rather than adding more to get to the real truth – what’s most important for your firm. Think more along the lines of how your clients would describe the real value that your firm delivers, rather than how they feel about a specific service.

    1. Use Quantitative OR Qualitative Questions

    More often than not, we come across research studies that ask “what” without asking “why.” This is especially common for times when quantitative data tells us what we want to hear. Imagine you got this finding: “80% of our clients are very loyal to the firm.” And… full stop. We don’t need to know more, right? Wrong. You just missed an opportunity to find out what makes you so unique that the clients want to stay with you.

    Instead: Use BOTH quantitative and qualitative questions. “What” should always be followed by “why.” Understand the reasons behind the numbers and listen to what your respondents are trying to tell you.

    1. Poison the Pot with Judgment Words and Phrases

    What’s wrong with the question below?

    “On a scale of 0 to 10, how important are the awesome services that firm X provides to you?”

    I spoiled the question on purpose, so it’s an extreme example. As you can tell, it explicitly tells the respondent that the services are, in fact, awesome. We can’t both ask for an opinion and give our own. Freedom of expression to all of our respondents!

    In all seriousness, surveys often use descriptive adjectives and add unnecessary leading information. Dictate the results of your research and lose money.

    Instead: Use neutral language and phrases to let the respondent make the call. The questions themselves can impact the objectivity with which people respond to them. Be mindful of word choices and put extreme care into the wording of your questions.

    1. Talk to the Wrong People

    Another way to pour money down the drain is to ask a whole bunch of wrong people. Even with the right set of questions, the wrong set of people will not give you meaningful results.

    There are really two predominant ways to mess up your sample – trying to ask each and every person or only talking to clients you have the best relationships with.

    Instead: Use smaller, highly targeted sample groups. Ask yourself, “What does the client I want to do business with look like?” and “Who are my most desired prospects?” Interview them.  Ask your internals, too. It’s important to see how well your employees know their clients.

    The growing investment into research in professional services also exponentially increases the amount of blunders. But don’t worry! Now you know how to avoid the common mistakes. No need to risk your money. It’s time to get actionable results from research to grow your firm and become more profitable. For a more comprehensive overview of best practices, download our free Professional Services Guide to Research.