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Four Types of Customer Data Every Email Marketer Should Know

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According to Forrester Research, marketers will blast out a record number of 258 billion emails this year---a 63% jump from just the year before. While many companies may be pounding their chests about those rapidly growing email lists, just as many companies may be overlooking big opportunities to improve their targeting, relevance, and performance.

recent survey by CEB of more than 800 marketers at Fortune 1000 firms showed that over half of those companies are still relying on past experience and gut decision-making to create and optimize their campaigns. Only 11%, meanwhile, are using data to support those decisions. Data ranked dead last on their list of available resources.

Stats like those aren’t hugely surprising. After all, email marketing has sustained itself very profitably for a long time on a “batch and blast” mentality. But at 258 billion emails per year and growing, too many consumers are simply feeling blasted---and harder to engage without more targeted, relevant content and messaging.

Little wonder then why savvier marketers today are diving deeper into customer data to give their email-marketing campaigns more relevance, more precision in reaching the right people, and better predictability around buying decisions.

What kind of impact can data actually bring to bear? Data-driven “triggered” email campaigns, according to Ascena Retail Group, have been shown to achieve the following:



  • 70% increase in unique open rates


  • 55% increase in unique click-through rates


  • 300% increase in dollars per email delivered


  • 225% increase in conversion rate


So, what do you do with using customer data to yield numbers like those? As I sketched out in a recent webinar, tapping customer data in powerful new ways doesn’t require a Ph.D in big data; it means identifying the most relevant types of customer data you should be working with and then creating more personalized campaigns that have a good chance of boosting results.

Four Key Types of Customer Data


In order of importance, here are the four primary data types every email marketer needs to get acquainted with.

1. Email interaction. Basic email interaction data shows where customers have clicked within the email as well as open rates, opened links, clicks, customer conversions, and related metrics.

2. Web interaction. Access to recipients’ web-interaction data can help marketers gain an in-depth understanding of how customers are browsing a website. Abandoned shopping carts and completed applications, for instance, will show consumers are in the market for, thus filling the blanks for what kinds of email campaigns will prove most compelling.

3. Purchase data. Past purchase data can be a valuable predictor of a consumer’s next move. By looking at what the subscriber has purchased and what they are using now, email campaigns can be customized to suggest a personalized next step. For example, if the customer just bought a new mobile phone, knowing specific specials for phone cases and screen protectors can help direct the next purchase.

4. Profile preferences. Data from user profiles, such as location, age, and gender, may not be as reliable as the users most recent email or web interactions but is still valuable in baseline targeting.

After identifying what customer data will be the most relevant to your campaign, the next step is to define segments based on the data collected. Consumers in each segment should exhibit similar types of behavior as shown by the data, ensuring that they can be marketed to in similar ways. Triggered emails, for example, can come in a variety of formats, including welcome emails, birthday wishes, and reminders to repurchase favorite products.

A couple words of caution as marketers take a deeper look at data: First, refreshing and re-evaluating data is a must because it has a limited shelf life. Make sure you’re constantly refreshing (and, if necessary replacing) your customer data, same as you would keep replacing vegetables and produce at the market. Second, work to set up a simple but comprehensive test platform for email content, to ensure that it’s still resonating with each particular segment and driving revenue.





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Mike Hotz is director of Strategic Services at Responsys, where he works with clients to design, develop, and execute successful cross-channel digital marketing strategies.

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Comments

  • by Amy Birch Mon Apr 15, 2013 via blog

    Great post thanks. As email marketers it's important to know what kinds of people will be reading your emails and the data associated. I think all four types of customer data can be used together to create an effective email campaign.

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