I’m trying to figure out the best performing but most customer friendly replenishment flow process.
The replenishment is for only 1 product in the product range, so it needs to be filtered based on a trigger of ordering that particular product. The next order can also be determined by the quantity of products the customer ordered.
How can I A/B test 2 different approaches using both static delays and reminders against using predictive analytics and sending emails based on the next expected order date?
The complexity makes it difficult to:
- Setup because of the various conditions and branches
- Measure the impact and compare performance
Should I do this in separate flows that are split by the random sample condition and update a property? Or try to do it all in one?
I can’t quite envisage which is the best way to tackle this yet.
Best answer by David ToView original