8 posts tagged with "Analytics"

We’ve introduced automatic consent handling in the Lyftio script. This means you no longer need to implement custom callback logic to "activate" the Lyftio script upon user consent.

If you're using industry-standard consent frameworks like Google Consent Mode v2 or OneTrust, everything now works out of the box.

When running experiments internally, team members often interact with the website while testing new variations. These internal visits can unintentionally affect experiment data and distort results.

To help prevent this, we’ve added IP Blocking.

Understanding when changes happen during an experiment can be just as important as the final result. To make this easier, we’ve introduced Visitor Charts in the results view.

Visitor Charts give you a daily, visual breakdown of your experiment’s performance across the entire test period. Instead of only seeing aggregated totals, you can now explore how key metrics evolved day by day.

Analyzing experiment results is now more flexible. We’ve added new filters in the Results view so you can narrow down data and better understand how different audiences interact with your experiments.

We’re introducing Cookie Conditions that gives you more flexibility when targeting users and defining experiment goals.

We’ve introduced Consent Modes, giving you more control over how and when the experimentation script executes and handles visitor data.

We’ve added experiment events to the dataLayer, making it easier to integrate experiments with Google Tag Manager (GTM) and Google Analytics 4 (GA4).

We’re excited to introduce Revenue Tracking for your experiments. This new feature allows you to measure monetary impact directly in your experiments, giving you insights into which variations drive the most revenue.