Easily run sophisticated experiments
Set up A/B tests across your stack, without coding.
Remove analysis bottlenecks with insights into retention and engagement metrics automatically.
Experiment across your tools and channels
Run experiments on predictive subscriber audiences directly through your existing channels and tools. Experiment with retention, engagement, and upsell strategies while tracking the impact in real-time, automatically within Subsets.
Automate results analysis across your key metrics
Automatically track and understand the impact of your experiments across key metrics like retention rate and lifetime value, as well as engagement metrics like sessions, pageviews, and articles read.
Follow key metrics in real-time
Track the metrics that matter most for your experiments, without needing engineering support.
Automatically analyze key metrics like retention rate and lifetime value in real-time, alongside engagement metrics such as sessions, pageviews, and articles read.
Detect statistical significance
Automatically calculate sample size and time left before results can be reviewed and analyzed.
Detect when experiments achieve statistical significance across your preferred metrics, and confidently turn successful results into automations.
The depth and breadth of the results analysis we can generate from Subsets has been invaluable. We are aiming to turn validated experiments into 'always on' and let Subsets select subscribers for targeting and trigger the campaigns.
Grow revenue from your existing subscribers
Learn how leading subscription media businesses manage retention with AI.
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