Article originally published in Destination CRM, reposted here with permission.
“The myth is that target marketing is a straightforward science, but the reality is this: the most valuable target marketing starts with ‘fragments of disjointed and often contradictory information’ and connects the dots from there. The quote is not from the pages of a marketing textbook, but from Shane Harris’s review of the documentary Manhunt, the inside story of how Bin Laden was tracked down and killed.” — George Bradt, “How Army Intelligence Techniques Apply to Business Leads” (Forbes magazine)
Reaching your real customer—actual people to whom you can sell your product or service—is no easy task. Yes, one of the best ways to achieve this is to create customer personas, a composite, research-based representation of who you think will most likely buy your offering. This will usually include the target’s business role/responsibilities; her company’s market position, challenges, and opportunities; and, critically, the phase she is currently in in the purchasing cycle. But such basic information is hardly enough in an environment where sales and marketing success depends on data, data, data—to create customer personas that are easily translatable to actual customers:
Base It on Real People, Not Stereotypes
In other words, model personas on your current customers. Think about their business goals, what drives their buying decisions, how they found their way to your company. Consider their spending patterns and influences, the problems and obstacles they encountered with your products or service and what information they needed to decide to buy/not buy. Take note of their mind-sets and expectations, and what type of buyers they are (bargain hunters, average spenders, spendthrifts? Emotional or logical?) and what strategies you can adopt to appeal to each type.
Do More Than Make Five-Minute Phone Calls
Face it: To do the process right, it takes time and effort. Start with talking to existing customers one on one to discover the challenges, motivations, and pain points of real people—and not just what you think they are. Listen to what customers are saying about your business on social media. Speak to your sales team to get the overall market picture and discover what types of customers they are most successful with. If customers are buying through your site, conduct web surveys to find out if they’ve ever experienced any problems with completing their purchase. Back up qualitative data (goals, attitudes, behaviors) with quantitative info to segment website customers by transactions, revenues, frequency of site use, etc. And of course, don’t forget to review all relevant customer communications.
Remember that as the market changes, so do the customers. And your business operates in real time. It would be wise to constantly review market trends and refresh personas as needed. This not only boosts engagement, but also improves product-market fit, drives growth at every stage, and enhances your personalization strategy. After all, finding your actual customer requires knowing who you’re sending your message to, understanding his needs and motivations, and tailoring your message accordingly.
Connect the Dots
Getting a true picture of your real customer means getting the full picture. How do your customers interact with your business? Do they use your website, or an app from their smartphone? Augment the data from these sources by comparing them with information gleaned from other databases, electronic media, and other data stores. By connecting the dots, you can acquire detailed, accurate, complete, and, importantly, timely insights.
First you need to ensure your data is accurate, and that you have enough of the right data to begin with. But with mountains of customer data from internal and external sources to sift through, how do you find those individuals with the most potential for upselling? Emerging technologies like artificial intelligence (AI) can be used to make sense of the data—by using predictive scoring, for example, to know which prospects are most likely to buy, and therefore which to prioritize. Other signals like intent data can also be added into the mix, to help pinpoint prospects who have the greatest intent to buy, thereby helping your sales team find new prospects and your marketing team fine-tune and enrich lists gathered through marketing programs. This lets you move from big, unstructured data sets to “finding that guy” who really cares about what you’re offering.
In the end, it’s important to mine the correct types of data to provide the insights that lead you to look-alikes of your ideal—that is, your actual—customers.
Watch this quick video demo to see how Leadspace predictive and persona can help you find and convert your ideal customers:
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