Product updates

Follow how the work is evolving.

Stay close to changes in Lifesight's measurement, analytics workspace and AI workflows.

Stay close to the product

See what changed -and how to use it.

Product updates are most useful when they connect a new capability to a concrete task. Use the current release feed and documentation together.

Three useful steps connect the material to a real business question.

Find a topic

Incrementality for non-revenue KPIs

Optimize your signups, leads, and other non-revenue metrics with incrementality factor.....

Fine-tune or recalibrate models seamlessly

Calibrate your model with the latest experiment results or clone and retrain....

Granular ad-level incrementality and marginal insights

View incrementality and marginal metrics down to the ad level for both....

Track multiple marketing goals

Track multiple KPIs, progress, and the probability of achieving your set goal....

Improved iFactor algorithm

Get more accurate incremental revenue estimates based on dynamic selections.....

Hierarchical Models for Granular Tactic Insights

View granular insights into specific channel tactics to make better media optimization....

A few useful answers

Before your next move.

Does a release apply to every account immediately?

Availability can depend on the release and your deployment. Check the current announcement and confirm with your Lifesight contact.

Use the live product documentation, which can change as capabilities evolve.

Keep exploring.

Platform

Platform overview

Causal measurement shows what marketing changes. Your analytics workspace helps you plan and act on it. AI agents keep the work moving across both.

Platform

Lifesight MCP

Connect a compatible AI assistant to Lifesight through Model Context Protocol, so marketing questions can draw on your measurement context.

Platform

Integrations

Bring media and business outcome data into a shared measurement foundation. Start with the connections needed to answer your most important questions.