Powerful AI capabilities
Never lose a single conversion. Dynamic traffic allocation, based on Thompson sampling, automatically sends all visitors to a winning variation once it’s statistically reliable. Maximum results, minimal effort.
Our machine learning algorithms analyze your website’s traffic to suggest four segments: disengaged, wanderers, valuable visitors, and loyal clients. Personalize the user’s experience based on their level of engagement.
Build personalization campaigns around items visitors are interested in. Natural language processing and keyword technology identify segments for you. In one click, deliver contextual experiences that convert.
Based on items viewed or purchased, social proof messaging on your product page is a powerful way to encourage transactions. Information is updated in real time with this dynamic widget.
Ready for scale
Robust data collection
Built for scale
Our infrastructure is powered by Google’s Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and Cloud SQL to process over two billion events per day. We’re collecting data with BigQuery, and support real-time data availability.
Universal collect, our internal data collection process, captures over 250 data points providing enough granularity for powerful optimization campaigns.
Confidence intervals to test statistical significance help you make reliable, informed decisions about which tests to hardcode on your site. Powered by Bayesian statistics.
ROI at a glance
Visualize the ROI of your campaigns in terms of revenue generated. See how much of your traffic has been impacted by a campaign and how many campaigns your teams have deployed.
Ashley's furniture eliminated client frustration by shortening the checkout process, reducing cart abandonment rates and creating a more fluid transition to the payment step.
Panasonic discovered how to effectively drive more customers to digital channels for faster support, creating a better experience for users and significantly reducing support costs.
Fenty wanted to test the CTAs driving traffic to new collections on their website. Through experimentation, the team discoverd that larger CTAs had a significant impact on traffic.
During COVID, Lush ran experiments testing shopping preferences, comparing care packages with self care promotion. The experiment resulted in +$7,5K in transactions and provided insights on shopping behavior during this period.
Knowing which photo to push first in a carousel can make all the difference between clicking on "view availability" and exiting the page to visit a competitor's site.