Using behavior and attitudes to build a complete picture of your customers.
In previous columns, I've discussed the benefits of using behavioral data and triggered email to improve campaign relevancy and, ultimately, response rates. Although past behavior is often the best predictor of future behavior, this month we'll take a look at attitudinal analysis to create a customer segmentation model that's representative of both behavior and attitudes.
Attitudinal Behavioral Data Largely Underutilized in Campaign Segmentation
A June 2004 Jupiter Research (a Jupitermedia Corp. division) executive survey asked about the data attributes used in segmentation schemes. Just 11 percent of respondents use pass-along (forward to a friend) rate. Most rely on typical recency, frequency, and monetary (RFM) schemes.
Though RFM analysis is undoubtedly effective and should be the basis for audience segmentation, marketers should consider it just a starting point. Beyond that, work to incorporate attitudinal data to augment what you already know about customer spending habits.
Use Satisfaction Survey Data in Audience Segmentation
The easiest way to discern clients' attitudes about your products and services is to ask them. Though I've found satisfaction surveys are a widespread practice, most companies use that data only as a barometer to gauge clients' overall sentiment.
For example, an April 2004 Jupiter Research executive survey found 71 percent of respondents use this data as an overall thumbs-up/thumbs-down barometer. Less than a quarter (22 percent) used that data as a segmentation attribute.
Many email service providers (ESPs) offer survey and polling tools embedded in the campaign management tool, making it relatively easy to collect this data and associate it with individual customer profiles.
Following are some real-world examples of how companies use satisfaction data:
Directional Pass-Along Data More Valuable With Behavioral Data
I mentioned the low number of companies using forward-to-a-friend-derived pass-along data. Though that number is low, we must also consider many companies have downplayed forward to a friend in marketing efforts in reaction to CAN-SPAM legislation. Although the law indicates a forward mechanism within a campaign must maintain the marketer is the sender, many companies and ESPs have developed mechanisms to ensure the address that receives the forwarded message is not on the opt-out suppression list.
If you go to such lengths to ensure a campaign's forward-to-a-friend element is CAN-SPAM compliant, it provides a wonderful attitudinal segmentation opportunity. Here's one that's worked:
A large cosmetic company found some lapsed customers (determined by a lack of email and spending action) were actually forwarding messages promoting club membership. It resulted in about 5 percent of the company's new monthly registrants. The company can now identify these brand champions and continue to mail to them, even when their click and spending behavior indicates they're lapsed.
Often, we judge customers solely on their spending levels. Using pass-along behavioral data, we can identify customers who act as a valuable acquisition source even if their own spending doesn't reflect that. To recognize these customers in spending-oriented RFM analysis schemes, put the average cost of customer acquisition on advocates' profiles as a positive value to recognize their goodwill efforts. The tactic makes it easier to recognize them in monetary-oriented segmentation.
As with everything else, this approach requires some testing. Give it a try, and let me know how it goes.
For more than 20 years, David has been an industry proponent. Direct Magazine said David is "one of the most influential experts in email marketing, if not the most influential." Co-author of "Email Marketing An Hour A Day," David has held senior level positions at Forrester and JupiterResearch, Apple, Anthropologie, MacWarehouse, Proteam, and retailers that dotted the early days of CompuServe. David advises many industry organizations including the OTA, DMA, eec, and has been a contributor to the Weekend Today Show on NBC. Learn more about connected marketing and download free research with registration here. Follow David on Twitter @emaildaniels and learn more at www.relevancygroup.com.
US Consumer Device Preference Report
Traditionally desktops have shown to convert better than mobile devices however, 2015 might be a tipping point for mobile conversions! Download this report to find why mobile users are more important then ever.
E-Commerce Customer Lifecycle
Have you ever wondered what factors influence online spending or why shoppers abandon their cart? This data-rich infogram offers actionable insight into creating a more seamless online shopping experience across the multiple devices consumers are using.
September 9, 2015
12pm ET/9am PT
September 16, 2015
12pm ET/9am PT
September 23, 2015
12pm ET/ 9am PT