Marketers know they need to use data to get better results for their email programs, whether that means keeping subscribers around longer, persuading more of them to open and act on messages or increasing the revenue earned from email.
Still, study after study shows marketers are still stuck on the ground floor of the data building. Maybe we’re too focused on implementing some world-changing email program, when all we really need is a smaller, more focused and long-term approach.
Econsultancy’s Email Marketing Industry Census 2017, published with Adestra (my employer), found 55 percent of marketers said data integration is the No. 1 challenge for email personalization, along with “lack of resources” (41 percent) and “finding time to make it happen” (33 percent).
How can we help marketers use data successfully and thus see better email metrics and revenue results?
Many marketers are eager to innovate but have too little time or money to support stepping away from the daily grind. It’s not that they don’t care; they’re just too busy trying to get the next campaign out the door.
It’s also hard to know where to start if you don’t know what to fix first. Here’s my solution: Instead of trying to launch a full-blown program, which could take more than a year, take it one step at a time. You’re innovating, but in increments instead of one big leap.
This week, find something you could change in your next campaign — something you could test, a new call to action, or anything that doesn’t need a major upheaval. Make the change, and measure your results.
The next week, change another thing and add it to your list. The week after that, add another change to the two you’ve implemented already.
Build on your incremental innovations every week if you can. Before too long, you’ll look up and see how far you’ve come.
That’s the power of incremental innovation.
Triggered and transactional emails can bring in a significant portion of your email revenue in a year. One of my favorites is the “next logical product” trigger, and it’s a good way to begin innovating in increments.
“Next logical product” emails tie customer intent to your data to generate another purchase. You can predict this behavior because your statistics show a significant majority of people buy that product next. That’s your “next logical product” trigger.
Suppose you know that customers who buy washer-dryer combinations on your website often buy storage platforms — the things those big machines stand on with drawers to store detergent and other necessities — within two weeks after purchase. Naturally, you want them to buy that piece of equipment from you instead of the big box store across town. But how?
You say, “Hey! Let’s message everybody who doesn’t buy a storage platform from us 10 days later. Let’s show the exact washer/dryer they bought AND the storage platform that fits that model. And let’s make it easy to order it!”
First, study your product and purchase data so you can understand purchasing patterns. What do people buy? What do they buy after that? What’s the time frame? Identify five products that you could investigate for possible next-logical-product triggers.
Next, give your data scientists or CRM analysts your product list. Ask, “For these products, what do people buy next shortly after the purchase, and what percentage of customers buy those products?”
Use your data to create a financial model, and then test it on a sample of consumers. If you can verify your hypothesis, create a simple email featuring the upsell for the product purchased.
Test several versions of the copy, going at it from different angles:
Then, link directly to the product page in the email.
After you create and test your emails, isolate the customers who bought the original item in your time frame. Send the next-product trigger email manually, and assess the response. Try another date range, too. This will help you figure out the best time after the original purchase to send the follow-up email.
These consumers may have come back on their own to buy the next product, or they may have gone to a rival. Your “next logical product” email increases the chances that you’ll get that sale.
Using the results you generated in your tests, you have a new proof point you can give to your systems people when it’s time to automate the process.
What are you going to try?
Some opinions expressed in this article may be those of a guest author and not necessarily Marketing Land. Staff authors are listed here.