This article outlines how to set up a multivariate test in Aftersell
Multivariate testing lets you test multiple offer variables at once, like discounts, timers, and product bundles, to find the best-performing combination. It’s one of the most powerful ways to optimize your post-purchase upsell strategy.
Before setting up your multivariate test, take a moment to define what success looks like for your store. Setting a clear objective helps you choose the right variables to test and measure what truly matters.Some popular goals include:
Increasing conversion rates on upsell offers
Boosting average order value (AOV)
Identifying the most effective product bundle or incentive
💡 Need inspiration? Check out our Best Practices article for ideas that drive real results.
Once your test has been running for a sufficient amount of time, ideally 2 to 4 weeks, you’ll have enough data to make informed decisions. Shorter test durations may not yield statistically reliable insights, especially if traffic is low.Here’s how to analyze the outcome:
Go to the Analytics tab in your Aftersell dashboard and select ‘Split Tests’ to view details about your experiments.
Compare key metrics like:
Conversion rates
Average order value (AOV)
Revenue per visitor
Identify the top-performing variation set based on which combination delivers the strongest results📈 Your test should list the impressions needed to be statistically viable, this helps you know when the data is ready to act on. See screenshot below for reference:💡 Tip: Look for consistent performance across multiple metrics, not just a spike in one area.