Incrementality Engine

At Fenix, we’re excited to introduce the Fenix Incrementality Engine — a first-of-its-kind measurement technology that blends cost-efficient, intermittent experimentation with cutting-edge machine learning. The result? A fully automated way to measure the exact, causal impact of our promised delivery date system on conversion rate (CVR), revenue per visitor (RPV), and incremental revenues.

Traditionally, always-on experimentation is costly and complex. With the Fenix Incrementality Engine, we’ve solved that. Here’s how:

Fenix uses order data, real-time events, inventory, and customer location to provide accurate delivery timelines.

"Fenix’s new incrementality engine gives us a clear understanding of how their machine learning-powered promised date system increases revenue per visitor and drives overall growth. It also offers deep insights into where and when promised dates have the greatest impact, helping us continuously improve performance. In addition, Fenix has made significant advances in A/B testing and causal analysis, pushing the boundaries of what’s possible in this field."

Fenix uses order data, real-time events, inventory, and customer location to provide accurate delivery timelines.

The image below shows how conversion performance varies by region and delivery promise date for one large retailer we are working with, thanks to the Fenix Incrementality Engine:

Fenix uses order data, real-time events, inventory, and customer location to provide accurate delivery timelines.

This granular insight helps brands tailor shipping strategies by market & maximize incrementality, rather than relying on a one-size-fits-all approach.