BETA
We believe in giving the right person, the right message, at the right time.
To do that, we need to listen more and understand our customers’ intent.
We track hundreds of micro-behaviours from users to target where they are in the buying cycle
Using machine learning, we model the data to understand their intent to purchase and predict if they will buy
We then automatically deploy a series of nudges, designed to increase intent
A new standard in personalisation metrics. By listening to their signals, we understand whether a user will or will not take an action. This results in a predictor metric - expected conversion (xC). We call this moneyball for ecommerce.
User #113
We capture 93% of signals that infer intent such as tap and scroll behaviour, with timing beacons.
We model this data in real time to identify the user's intent score and buying phase to a high degree of accuracy.
Given this users behaviour, we believe that they are just browsing. They're not ready to buy just yet.
This behaviour leads us to believe they they have a low likelihood to purchase within their session - 0.31xC (expected conversion).
We can serve appropriate nudges and messages to this user based on their buying stage and intent in real time, such as brand propositions to engage.
av. 1.5% uplift
The user is still browsing and still has a low intent to convert, encouraging them to save their item to re-market at a later date is appropriate.
av. 9.1% uplift
1 line of code, seriously. <20kb script that tracks infinitely more behaviours than GA.
We capture hundreds of micro-behaviours like tap, scroll and time. First party data only and cookie-less.
With one framework, one definition, you can align your team and pull additional levels to hit your goals. Easily.
Complementary to your existing tech stack, we sit alongside or on top. Use our nudges, or just to analyse customer intent. Or both.
BETA
We're after a handful of retailers and practitioners to help us on our journey.
We've tracked over 1bn interactions to create models that successfully predict intent, as well as nudges to positively shift that intent. So far we've seen an average 9.4% uplift in revenue, can you help us help you?