Start to predict visitor behaviour. Give a more personal experience. Discover more profitable eCommerce with the Intent platform.
Ok, every tool says the money thing, but our product lets you predict a purchase, exit or other key actions. This lets you get out of the way of (and not discount) likely buyers, while giving others the nudge they need. So far it’s created a 9.4% revenue uplift on average.
Because eCommerce is so focused on conversion, it’s easy to forget about the person. With Intent, you can be more appropriate to the majority of your visitors who aren’t ready to buy. You can sell like a human and help people through their buying stages.
Understand the intent of your visitors and the quality of your traffic.
Reveal your valuable opportunities and what to do about them.
Expected Conversion (xC)™ and our other metrics don’t just report on the past. They predict the future and how likely a visitor is to take key actions. This is the value others overlook.
Focus your time and budget on likely buyers. Increase your ROAS, decrease your CPA and be more appropriate in your digital marketing.
Add a predictive lens to your online store. Prioritise appropriate trading levers based on customer intent and impact on revenue.
Make your messaging more appropriate by knowing which customers need nurturing or nudging. Repeat orders and LTV gains await.
Improve conversion rate and user satisfaction. Optimise your store experience by focusing on customer buying stages, not just pages.
Give your retail business an edge that others overlook. Use customer intent to gain in-quarter sales, future revenue and a framework that scales.
Seriously. Our tiny script has no impact on your Core Web Vitals and tracks everything you need.
We listen to every micro-interaction and use local storage, without extra cookies or GDPR concerns.
Our data and triggers work with testing tools, experience engines, ad networks, email campaigns, analytics platforms, CDPs and more.
Our model is trained on over 50+ eCommerce websites, increasing model accuracy by >20%.