Let’s say your marketing team wants to run a win-back campaign to rescue at-risk customers before they churn.

Easy enough, right?

Not necessarily. If your tech stack is like a lot of ecommerce brands’, you’ll have to:

1. Manually export data from your marketing tool via static CSV.
2. Import that CSV into your analytics platform.
3. Run an RFM analysis in your analytics platform.
4. Export audiences from your analytics platform into a CSV.
5. Manually import that CSV as a list into your marketing tool.
6. Create a list of each RFM group in your marketing tool.
7. Use RFM lists in one-time marketing campaigns (which immediately become outdated).
8. Repeat every month.

This process is not only cumbersome and time-consuming. It also requires your marketing team to manage multiple integrations, develop expertise in 3 different systems, and guess at whether your marketing platform is effectively leveraging the insights from your other systems.

Besides, if you’re like most marketers, you’re dealing with far more than 3 systems in your tech stack.

Olivia Yuan, co-founder of Shopify-focused agency Tomorrow, says her agency’s clients use, on average, 30-50 third-party applications to power their ecommerce experience—and while most of those systems have their own data structures and attribution models, “many of them have overlapping features and functionalities,” she points out.

What if, instead, you could eliminate most of those steps above—by using one platform?