Tag: data

  • 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.

  • 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”

     

  • To Provide a Positive Customer Experience, You Have To Know What They Want

    To Provide a Positive Customer Experience, You Have To Know What They Want

    In some ways the modern brand ambassador marketer’s job has changed focus in recent years. Recently, its not so much about informing or enticing the buyer, it’s about delivering on a promise and providing an “experience” to go with the transaction. In our experience, we’ve found it difficult to create and provide an enticing customer experience if you don’t have a rock-solid grip on what the customer really wants and will respond to from your brand and your product.

    This getting-to-know-you activity can take a number of forms, but the bottom line is that not only is your customer base a dynamic entity, ever changing, growing in need and sophistication, shifting in it’s preferences and requirements, but is composed of an ever-transient population, because most data, especially transactional data, is static, it’s a snapshot of the group at that particular moment. In order to avoid this, smart companies with the long-term view have devised and implemented a system for driving ongoing customer feedback, interaction and input that lets the company keep a finger on the pulse of it’s customers. Once that pulse has been taken, an environment, an experience can be crafted and replicated for each customer that resonates in a positive, energetic fashion.

    In the retail world, customer experience is often focused on the physical environment – rack height, sight lines, lighting, merchandise selection and placement, shelf space allocation, aisle configuration to drive traffic down high-profit aisles, signage digital and otherwise, music, even scent, are all priority considerations. The digital realm of retailing doesn’t offer those aspects, at least not yet, but they have their own “experience” concerns. Eye-tracking, navigation and dwell-times, abandonment of the cart, payment processing glitches, as well as things like color selection, use of white space, imagery, user-interaction studies and the like take the place of lighting and shelf space concerns. But the experience in both cases goes beyond the physical environment in which the shopping occurs.

    Customer experience has to do with the initial engagement (how you already feel about the company and the purchase before you even get there), to the initial contact (are you greeted sincerely at the door, are you made to feel welcome, do they even HAVE what you want), and continues to the shopping and selection phase (do they stock what you want, in your size or color, is it really the item you thought it was, and did the onsite staff assist you in making the selection or a decision between two similar items), through the payment, the upsell, and the return and aftercare phases.

    If somehow all of that goes well, the experience can still be less than perfect – did you FEEL that it was a good experience, did you feel guilty for making the purchase or did you get good justification for the quality/price/value equation of the purchase, among other elements.

    For marketers, especially online marketers, that means you have to have a stranglehold on what your customers value, what parts of that transactional chain they value most highly, how they prefer to be approached and what their ultimate goal is in making the purchase – a tall order for a couple of images and a screen or two of product description. But good research can answer those questions and save the day.

    Know the customer, show your interest through offering an accurate engagement and a welcoming, familiar presence, and carry through on the promise, and the customer experience will be a positive one.

    For more thoughts on how important research and customer engagement are to successful marketing, a FREE white paper on customer engagement is available at www.Granite-part.com just for the asking.

  • Battle For The Bucks: Big Data VS. Good Data

    Battle For The Bucks: Big Data VS. Good Data

    With marketers, retailers and web pundits delving into the topic of Big Data, studying their Google Analytics report like it’s the Zapruder film and studying up on their compiler language, how does all that information translate into creating products that people love and that fly off the shelves?

    I contend that there are two elements of this, one is Big Data, which shows you a tranactionally-based road map of what’s popular, what people like, what they prefer given an unlimited number of choices, and can show you how people’s purchase decision gets made; and Good Data, which is gained through other means than digital, but has a digital internet component, and can show you WHY people prefer one thing over another, WHY they gravitate to certain elements or items, WHAT MAKES things popular, WHAT their needs might be in their daily lives BEFORE its been created and marketed.

    The two are different and both are extremely useful in putting together a cogent innovation program that can generate the new things we all crave and to marketing them effectively and making them popular and successful. One is only “better” than the other under specific constraints and circumstances. I tend to use both depending upon the project, Good data being the best and most useful to drive new product or service innovation, and Big Data the most useful for gathering and testing theorems and intelligence on applications and market positioning for the product once it’s been developed.

    True innovation is a brand new, never been seen before element, and therefore Big Data will not be able to provide you with any comparative data because there’s nothing to compare it to. I doubt the folks at Apple tried to sift through transactional data to see if anyone wanted an MP3 player the size of a lighter with a thumb wheel selector, but if you had asked individuals (primary insight research, Good Data), how they listened to music, where they listened to music most often, and how they WANTED to be able to listen to music (while running, exercising, swimming, in the car,), and why they couldn’t do those things with the current gear, those answers might have lead you to create the iPod.

    The wealth of Big Data spawned by tracked internet traffic, and the dearth of Good Data based on ineffective feedback loops, automated CS phone trees and do-it-yourself web-based customer service devices have isolated the bigger more established brands, those with a solid customer base, and a culture often lacking in specific innovation paths beyond incremental improvements f the current product line. That isolation will likely have a dampening effect on those firm’s ability to innovate over the next several years and beyond, if internal structural changes to the organization are not made and a comprehensive, skin-thin customer facing transparency established so that consumer input can be distilled into actionable intelligence quickly and efficiently.

    Those firms without an effective “Data Loop” to constantly feed the development teams a source of Good Data will slowly stagnate and become copy-cat innovators, while those closest to their own customers will clear a path to new product development that is facile, smooth and relevant on an ongoing basis, fostering innovation in search of customer happiness. Expensive? Not really, when considered against the cost of lost customer base, eroding market share, lack of attention to pirated technology due to inattention to customer need, defense of intellectual property infringement and a host of other ills facing a stagnant brand.

    If you think like I do, and want to help your company become a place that fosters innovation, comment below, or contact me via e-mail at dpoulos@granite-part.com or on LinkedIn.

  • So, I’ve Got All This Data . . . Now What?

    So, I’ve Got All This Data . . . Now What?

    Marketing industry media, and more recently mainstream media have latched on to the term “Big Data” as the next big thing due to the huge impact all the computer communications and digital signal data can have via tracking internet traffic. It has reached the point that you can’t open a blog, a magazine or newspaper without seeing it mentioned in a headline, often in conjunction with subject only thinly related to marketing. Some are related to privacy and identity data, which is a legitimate concern when all your personal information is digital and flying around through the air every time you take a phone call or text your friends. But the use of transactional and biographical and search data to custom craft messages and actively serve digital ads online has been around for the last five years, or more depending on how you qualify the description, (remember AOL, and their MyAOL product that showed you ads from places you’d visited in the last week? 1998!)

    But unfortunately, big data is here to stay, not just the next big, shiny thing on the marketers tactical menu. Our personal, transactional, and biographical data, (medical, too, if you dig nefariously) is available for the taking, asking, renting, or hacking, and can and will be used against you in a court of law . . . Everything you text, tweet, post, share, like, friend, check-in and play is held on a server somewhere, virtually forever, and if mankind invented a way to store and secure it, man can find a way to get at it for other purposes. Certainly adds food for thought as you’re browsing those facebook posts that lead who-knows-where, killing time on the phone waiting to pick up your kids or in the doctor’s waiting room.

    Used properly, ethically, and strategically, the use of big data to mine and prospect for customers should be nearly invisible, and indeed will create welcome and well-timed information that is relevant to you and that you will actually use and enjoy. It’s when corporate marketers use these sophisticated tools with less-than-complete understanding, and don’t want to put the safeguards in place, to put in the effort and human intelligence to remove the obvious mismatches any such algorithm will inevitably create. That’s when the problems start and people get in trouble.

    If your company has a a sizable database, a well-trafficked website, and a social media and web presence of any size, you have or can gather a vast treasure trove of data on your visitors, casual and otherwise. The question then becomes not “How do I get this data,” but “Now what do I do with it.” The real task here is to use groups, sets, trends and responses in that data to build an outreach or nurturing program that will provide your customers and prospects with a positive, relevant, valued experience. Such a program will allow you to engage them in a positive way that puts your brand in the best light and make them feel comfortable and engendered to your products and services, to the point where they buy them over and over again.

    Call it trust, call it security, call it safe harbor, to whatever degree your customers feel they need to feel comfortable buying from you, you need to show them that you will provide it, including how you use their data – mistrust of data use leads to mistrust of transactional security, which leads to avoidance, in a strange death-spiral of aversion that makes it hard to retrieve a customer who’s been caught in this web of misappropriation of your personal information. You play that card 100,000 times a month, and see how many customers you have left . . .

    One of the best safeguards against this, for the marketer, is to start slowly, put the relevant safeguards in place, play them up, in fact, compared to your competitors – you want to own it, especially in the beginning of your big data journey. You want to highlight your security in a way that shows you care about and for your customers. People will endure unimaginable, tedious routines and log-in scripts to avoid having their data end up somewhere unintended – anyone who’s flown on an airplane in the last decade instinctively knows this.

    Build up your data use slowly, carefully, cautiously, so that it makes sense to achieve the outcome you want – happy, engaged customers in growing numbers, recommending your products and services to their “friends” and families, because they are secure in the knowledge that buying from you won’t lead to any surprises later. Trust is a fragile thing, handle it with care . . .

    If you like this train of thought and want to jump on board, or if you think I’m full of it, let me know, I’d like to hear from you in the comment box below.

  • Big Brands Use Big Data To Engage Customers

    Big Brands Use Big Data To Engage Customers

    Recent economic indicators describe a consumer climate that is different than virtually any in recent history, and consumer product and service businesses are having a tough time closing sales and encouraging sales traffic, both brick-and-mortar and online. This enforced stinginess on the part of consumers is wide-spread but not universal. Some products fly off the shelves and some companies are wildly profitable, while the majority seem to be pushing a rock uphill.

     

    Consumers are caught in a vicious cycle economically, have been since 2008. Profit is down on a per unit basis, write-downs and charge offs notwithstanding. Employment is down from knee-jerk reactive cost-cutting measures trying to stem the tide of red ink, the unemployed numbering in the many hundreds of thousands, and the underemployed doubling that. Equities in general have been stumbling along the bottom of the trough for the last two years, with a 3% growth number putting them back at break-even since before the crash. Spending is down, savings are flat, foreclosures are restarting their relentless march, debt is way too high, both consumer and governmental, and consumers are cautiously nervous.

    For retailers, this is the perfect storm of nightmares. Consumers are too scared to make those bigger purchases due to income uncertainty. Retailers won’t or can’t hire due to low margin, and can’t add jobs, reducing the unemployment numbers. Investors get lousy returns, and therefore can’t invest in riskier companies, so they can’t expand and add jobs. Consumers who have jobs are unsure they will keep them, but are doing the work of three and trying to keep their own head above water, cutting back on discretionary purchases. So, as a marketer, how do you break through the fear and engage consumers?

    In a word, “Trust”.

    If you scan the list of most profitable or growing consumer product corporations*[1], you’ll notice that they don’t have a common theme in terms of product offering, or price point or position in the marketplace, although they all tend to be number 1-4 in their category. The common thread among them won’t likely jump out at you from the list itself, but if you dig a little deeper, the theme becomes clear. These growing, smart, stable companies have been conservative in their growth plans, aggressive in defense and development of their brand, and firm believers in keeping their brand promise, leading to outstanding customer loyalty. They make products that people want and need no matter what their economic circumstances, and maintain loyalty through consistent quality assurance, product development speed and flexibility. In short, they give their customers what they want, and have done so long enough and consistently enough to have garnered long-term customer loyalty, and more importantly, trust.

    As marketers, we can’t often affect many of the attributes listed above that these firms have in common, but the few that we can, need to be the very best expression of the brand promise to establish that trust. We can’t affect QA directly, for instance, but we can certainly pitch the promotions to the correct consumer level and keep public perception on the right aspects of the product if QA is spotty or suspect. Product development is sometimes seen as Indian territory for the marketing department, but in these high-profit companies, our studies show that marketers are deeply involved in not only accumulating consumer data to feed product development, but provide assistance and expertise on consumer preferences, brand extension and alignment, and even assessing product features and elements, to be sure they meet consumer preference and demand. Perhaps this characteristic above all others may be the critical element in the continuing romance between these companies and their customers. In almost every case, companies that get the marketing staff involved early in the development process and have a defined process for creating, developing and launching new products are more nimble, responsive and profitable than those who simply launch and market products after the fact.

    That’s great for companies that create a range of new products regularly or update their flagship product routinely. But what about some of those firms who have been riding the same product year after year? How do they engage their customers and engender such loyalty to the brand?

    Many established and older brands that have let research and development languish, either through lack of resources or short-sighted thinking, find that they need to create or establish a new angle, a new application, a new extension of the existing product to create interest from new customers and renew interest from existing customers. Clorox might be an example of this, especially 10-15 years ago. Household bleach is a staple, has few innovations or moving parts, and aside from updating the package, and not much of that, it is basically unchanged since the 50s. Recently, they have innovated within the category, created new applications for the product and formed partnerships with other products to bundle or reinforce their products. Adding their product to other cleaning products gets the brand into households that might not welcome them otherwise, and sets or reinforces the expectation that bleach is an enhancer of cleanliness.

    Making the product “portable” in the form of a stain removing stick was a recent innovation that was launched in response to consumers’ increased mobility and need for instant gratification. Yet despite it’s age, Clorox continues to move off the shelves in predictable and growing fashion and avoid becoming a commodity, despite strong shots from competitors, generic versions manufactured overseas, and reduced profitability from price increases on raw materials and distribution challenges. A marketing team that can come up with a new angle for a 50+ year old product is a strong, flexible one indeed. What has kept them going is strong customer loyalty, and trust in the quality and integrity of the product to perform as advertised day in and day out over many years.

    But engaging customers doesn’t always mean product innovation, or even marketing innovation. Sometimes it has more to do with taking the appropriate approach based on customer’s expectations. One of the companies on this list, Harley Davidson, is a champion at delivering it’s message in the most appropriate medium for it’s audience’s digestion. But that hasn’t kept them from being innovative in order to engage the customer. Over a century old, Harley’s target customer is also getting older, and that demographic is populated by notoriously slow adopters of new technology. Harley does much of it’s marketing through the dealer channel and through event and sponsorship presence. They host rallies, rides, and other gatherings of product users through an extensive network of dealers and repair facilities coast-to-coast, and know their customer well. They have a huge array of licensed products and aggressively protect their brand in each of these arrangements, selecting only the highest quality materials, workmanship and designs to put their name on. This is one of the most traditional marketing models out there, and it still works very well. You would not expect them to have a huge online presence or use internet resources extensively to reach a 50+ age audience. Yet they have taken advantage of the social media phenomenon to help spread their message via word of mouth among their vast network of customers, creating Twitter accounts, a strong presence on Facebook with nearly 2 million friends. Other efforts include each dealer’s own FB page and own website, all of which have access to the manufacturer’s site, news, product info, dealer locator and more, plus license holder sites. All of this is used to promote new products, showcase product innovation, and get customer feedback, monitoring the electronic conversation and reacting quickly to customer input, engendering even greater loyalty and trust. It’s the message, not the medium that counts.

    Engaging customers also has to do with relevance. Being relevant to your customers may seem like everyone’s goal, and indeed it might be, but these profitable companies seem to have it innately present in their corporate DNA. These companies constantly seek ways to enrich their customers’ lives, and find new ways to be part of them. Coach, Inc., might be a good example of this. The luxury brand has innovated a number of approaches to meeting the needs of its niche market’s need for upscale handbags and accessories, leveraging their brand strength over a series of related products. If you purchase a Coach bag, with its famous lifetime warrantee, and it’s likely you’ll be informed about other Coach accessories, and often buy them, with the assurance that each product, either direct manufacture or licensed, will be made with the same level of care and quality, and at the same price point in the market. If you are a Coach-level consumer, you make it your business to show it, by buying the branded products that prove it. This elite, exclusive approach works very well for them, as it ramps up the relevance in their customer’s lives.

    As marketers, we have a huge volume of information and research data available to us regarding consumer trends, preferences, and behavior. It is up to us to responsibly use this data on OUR customers, to craft innovative, trustworthy, relevant outreach messaging to engage our customers to create brand trust, and drive sales and profits to where they need to be. Most of that trust and relevancy comes from the correct and appropriate use of that data to craft messaging that resonates with the target consumer. Transparency, honesty, relevance and trustworthiness are key to achieving these goals, and you can see the results of such activity reflected in the marketplace and the bottom line.

    If you found this insightful (or frightful) be sure to pick up your copy of “The Marketing Doctor’s Survival Notes”

    [1] List compiled by Seeking Alpha, copyright 2010
  • Keep Your Audience Close . . .

    Keep Your Audience Close . . .

    As a marketer, I have a certain level of curiosity about my client’s customers, and how to reach them effectively, how to reach their emotions, to shift their perceptions, to alter their behavior in a way that helps them make the decision to buy, to join, to attend, to engage in some way. That curiosity is at the heart of all of our engagements, and as a research-based marketing strategy purveyor, we get to indulge that curiosity on behalf of clients every day, and after some discussion realized that we were all grateful for that.

    Knowing your audience thoroughly and as completely as you can is what makes for marketing success. It allows you to speak directly to them in your copy, it allows you to offer them products and services and opportunities that you KNOW they will appreciate and will feel entitled to obtain. Knowing what they like, when they are likely to like or need what you offer, knowing what stage of life they are currently inhabiting, and being able to predict how they will react to a given opportunity allows you to present thing you have to offer in a way that other retailers and marketers can’t touch. Good research will allow you to do that, no matter what you’re selling.

    Many of our engagements involve outreach in the form of direct mail, which allows clients to reach a wide audience with customized offers or pricing or product choices created specifically for that individual or group of individuals, with remarkable success. Mail may seem antiquated in an era of high-speed social media, e-mail marketing, wireless mobile this and that, but really marketing is not about tools, its about connecting with the potential buyer in a way that influences them. It’s about influencing them to consider your products and services for purchase. Purchases make companies money, period. So really, all the online communities, all the digital social interaction, all the sharing of consumer information really doesn’t make anyone any money until someone actually buys something.

    What it can do is help you know your audience better. All the data served up voluntarily on a daily basis can help you frame a profile of your audience that’s more true to life than what magazines they read or what type of car they drive, and certainly provide more recent information. The combination of social media data and transactional data from retailers can be an unbeatable combination for marketers hoping to know their audience better. The data is available, now you have to figure out how to actualize it, to monetize it, to turn data into dollars.

    The more you know about that target segment and the individuals contained within it, the better you can offer them goods and services they will find appealing. If it’s appealing, they will find a reason to buy it. The simple formula goes: data > knowledge > strategic appeal > purchase > data . . . in a big circle. It’s a good formula to keep in mind, and it feeds into the whole idea of creating a community. What makes a community, in marketing parlance, is that you have a group of individuals who have a reason in common to repeatedly participate in a certain activity, be it buying, or discussing, or learning about  or something involving what you have to offer. The “in common” part makes it efficient to reach them and binds them together. The “repeatedly” part is what connects you to the data acquisition formula, and what gives marketers the “in” to offer them things they find appealing over and over again.

    The real moral of the story is that the better you know your audience, the better you can serve them and the better your marketing will be to them, which in turn adds to your ability to serve them. Go forth and gather data . . . you’ll be glad you indulged your curiosity!

    If you found this information valuable, and would like to read more, be sure and pick up your copy of “The Marketing Doctor’s Survival Guide”. . .

     

  • Personalization Boosts Response, But Can Be Overdone

    Personalization Boosts Response, But Can Be Overdone

    We’ve seen studies, a few released very recently, that suggest that personalization of direct marketing materials, including print and e-mail, boosts response significantly – in some cases as much as 3-400% of the blind “A” side of the test. But there was an interesting study among them that perhaps showed the risky downside to this type of approach. Apparently, personalization CAN be overdone. But you’d be surprised how far you have to go . . .

    The study we read told of a DM control package that had been declining from fatigue after nearly 6 months of heavy mailing. The commissioners of the test decided to test personalization, but in a new way. They personalized the letter in multiple places, and progressively added incidents of personalization as the letter progressed, per segment of the test. Segment One was mailed to a random list select of the house list, and contained a personalized greeting. Segment Two was mailed to a similar random list pull but the letter had a greeting and another incident further into the body of the letter that was personalized. Segment Three was mailed to a similar list and contained three incidents of personalization, and so on. All data was composed of elements contained in the address block of a five-line address containing job title and company name.

    When the results were read and analyzed, the staff was astonished to see response rates continue to rise through segment 14! In a two-page marketing letter there were fourteen instances of personalization before the results started to flag. The package didn’t drop back below profitability until Segment 22! Clearly, people like reading about themselves, and as a result, feel you know them and are safe to buy from! The rise of the rate was roughly linear from one incident to 14, and tailed off sharply from 14 to 22 and dropped off less sharply after that. Seems it takes a lot to overdo personalization, at least as used in this study.

    I get the feeling that most mail package probably wouldn’t get to 14 before dropping off, based on how much imagination is usually put behind this portion of the marketing effort. Just dropping the name in the copy 14 is not going to do it! To test this, simply read the letter out loud to yourself.

    Have you ever been engaged with a retail sales person who had only gotten partially through their “Training” but got to the part where they were told to use the customer’s name whenever possible to help “connect” with the customer on a personal level? The overuse of your name in the conversation in unnatural places becomes annoying, then grating, then off-putting to the point where you want to stop the interaction and walk away.

    With that experience in mind, read your letter out loud and see at what point your tolerance for the use of your name and other info seems to peak. Now, subtract one incidence, and that’s likely the sweet spot for that particular letter or package. Now you have a baseline, and can test above and below that number and see how accurate your initial read was.

    Keep in mind, too that there is a gold mine of information in that address block, if you’re willing to make a few leaps. If you have accurate salutation and prefix information, you likely know marital status, gender, and to some extent, age. Ms. Brittany Jacobs isn’t likely to be 75, or married, or likely to buy orthopedic shoe inserts or support hose. You get some of this at least in a reinforcing capacity, from your list segmentation selections. And you can use all parts of the address block beyond the address.

    There are data overlays that can be appended based on zip code that can give you a read on income, age, and other data down to the block level. Combine that with the job title info, and you have a pretty good picture of your prospect. Use street names, city and state info, job title, whatever you can to build a box of credibility around your offer. Now you just have to find a creative way to work those elements into the conversation so that they appear to be accurate but are really vague. If you’re having trouble with this, try imagining you’re setting up a fortune teller booth at a carnival – they use this same technique to read cues from you to weave a story that sounds believable. It’s like they KNOW you!

    This may seem deceptive, or underhanded, sneaky, etc. but ethically all you’re doing is making some educated guesses, and feeding the information you have that is freely available back to the audience on a specific basis – nothing sneaky about that! Let your creativity run wild, build a conversation with as much credible personalization as you can – you’ll find it gets harder once you get above 7-8 incidents. And now that you know that the average person’s tolerance level is higher than that, go for it!

    Test personalization on your next package, and see how much it boosts your response – in today’s digital world, there’s no reason not to . . .

    If you found this information valuable, and would like more of it, be sure to pick up your copy of “The Marketing Doctor’s Survival Notes” . . .

     

  • E-Mail Effectiveness Boosted by Data Availability

    E-Mail Effectiveness Boosted by Data Availability

    How many e-mail messages do you get every day? How many do you really read? How many get discarded based on the sender alone? Note how the numbers indicate a trend?

    I receive at least 100 on most days, 80+ get discarded based on who sent them, even if it’s something I’ve signed up to receive! I just don’t have time . . . The other 20 go to the preview screen for a quick glance, and the top 10 of those get read and responded to that day at some point. Here’s 5 tips for making it to that Top 10:

    5) Make Sure Your Subject Line Has Some Relevance To Me. Aside from what the excellent spam filter dumps off, subject lines with words like NOW, FREE, TODAY float through here and the urgency is not as desperate as the author would like. Worse are the ones who feel that I need their software so badly and that it’s so present and ubiquitous in my mind space that you can open up with the inside jargon and terms you’ve coined in your dorm room right at the get-go, and I’ll know what you’re talking about – NOT RELEVANT.

    4) DON’T Waste My Time. If your subject line is intriguing enough for me to open in preview, be sure you’ve got something to say that I can understand at a glance – if I have to go to five links to get the info I need, we’re both wasting time – you by writing e-mails that are more complicated than they need to be, you might just as well send me the series of links with no text – the result is the same: DELETE.

    3) If You’ve Got a Good Headline, Don’t Bury it in the Image Art, Because I’ll Never See It. Thanks to the preview screen and firewall software, along with Microsoft’s inherent wisdom, anything with an image is held back until I purposely ask for it, to save me from intrusion and overuse of bandwidth. If you put your headline in the image, I see a blank white box – DELETE! Any hope you had of that long-worked-over and clever headline grabbing me are immediately gone.

    2)If You Can’t Use the Data You Have Correctly and Clean Your List Completely, DON’T USE IT! I get mail addressed to one of the many websites I have currently live, about various things, but they assume that putting the web address in the subject line will peak my interest, but the subject or offer have nothing to do with the website they’re using to “get to me”. My favorite is the Chinese granite counter top purveyors sending me offers of cheap product, thinking I’m a contractor or granite wholesaler, based on the name. The did a search for the word Granite and scattergunned an e-mail out to the whole results list – the Doctor says: DELETE

    1) If You Have My Name on Your List, Use it Correctly – Get Your Technology Act Together. I can’t tell you how many e-mails I get with the wrong gender, the use of both names in the wrong order “Dear Poulos, David” and other idiocy of technological laziness. Don’t let the ‘chines ruin your marketing program, proofread your list! Some simple data processing, at roughly $1 a name, all told, will avoid all this and make your list much more useful, to boot. Be a professional, spend a little money, and watch your response rates skyrocket! It’s my name, I’ve had it for decades, you don’t think I’m going to find it first and check that you’re legitimate by it’s use? DELETE!

    Now you know what it takes to get past my barriers. Now it’s up to you to produce technologically savvy, legal and smart e-mail messages if you want to reach me effectively and make me a customer – Good Luck!

    If you found this valuable and would like to read more like this, pick up a copy of “The Marketing Doctor’s Survival Notes”