FullSession Lift AI

Lift AI turns real user sessions into a prioritized list of opportunities tied to your goals.

What is FullSession Lift AI?

FullSession Lift AI turns real user sessions and behavior into a ranked list of opportunities tied to goals like checkout completion, revenue per visitor, or signup conversion.
Instead of staring at dashboards and replays, teams get clear, revenue-focused recommendations, each backed by evidence and designed to help Growth, Product, UX, and Engineering ship the next best fix.

Inputs: your goal/funnel + behavior signals + segments

Outputs: ranked opportunities + confidence + evidence links

Validation: measure pre/post or with an experiment

Know exactly what to fix next for more revenue

Revenue-focused priorities

Choose a goal like Checkout completion or Visitor-to-Signup and get a ranked list of opportunities tied directly to that outcome.

Less time in dashboards

Instead of digging through funnels, replays, and reports, Lift AI watches behavior for you and surfaces what matters most.

Aligned teams, clearer roadmaps

Give Growth, Product, UX, and Engineering the same source of truth for what to tackle now and what can wait.

Cut through the clutter of analysis paralysis and always know what to do next while keeping your teams aligned.

Set the goal

Choose a goal/funnel — like Checkout completion, Revenue per visitor, or Visitor-to-Signup for ecommerce or SaaS.

lift ai - set a goal tied to a funnel

Attribution time window

Lift AI predetermines the best time ‘window’ for lookback and forward analysis automatically based on funnel metrics.

Lift AI does the heavy ‘lifting’

Watch Lift AI analyze behavior — it looks at friction, failures, and slowdowns in real sessions tied to your goal.

Designed for teams responsible for revenue-critical journeys

Ecommerce & DTC

Increase checkout completion and revenue per visitor by focusing on the issues that hurt your orders and basket value most.

PLG B2B SaaS

Improve signup, onboarding, and conversion to paid by letting Lift AI surface friction in key activation steps.

Growth & Product teams

Run experiments and roadmap planning from a shared, goal-based opportunity list instead of scattered insights.

UX, Engineering & Analytics

See where UX and technical issues really hurt revenue, with evidence and sessions attached to every opportunity.

How to validate a recommendation

1. Review

Open the recommendation and review the linked evidence (sessions, impacted step/pages).

2. Ship

Ship the fix (UX, copy, flow, technical).

3. Measure

Measure impact (pre/post window or holdout experiment).
Note: Lift AI provides estimates; your measurement is the source of truth.

“Lift AI gives us a single, prioritized list of opportunities tied to checkout. It ends the debate about what to fix next and helps our teams ship changes we can actually tie to revenue.”

Lift AI pricing

Lift AI FAQ

Answers to common questions about goals and where Lift AI fits in your stack.

Can I change goals later?

Yes. You can update or refine your Lift AI goal as your focus shifts such as moving from checkout completion to revenue per visitor. Lift AI will re-evaluate opportunities based on the new goal.

Can I add more Goal Workspaces?

Yes. Plans are anchored around how many Goal Workspaces you need. Many teams start with one workspace, then add more as they bring additional funnels like signup or activation into Lift AI.

Does Lift AI support both web and app journeys?

Lift AI is built on behavior and session data. If you track web or app events into FullSession, Lift AI can use that data to surface opportunities. Many teams start with web funnels and then expand coverage.

How does Lift AI decide what to recommend?

Lift AI looks at real behavior across sessions, funnels, and technical context to find friction, failures, and slowdowns. It then estimates potential improvement and confidence so you can focus on high-impact opportunities.

Will Lift AI replace our analysts or product managers?

No. Lift AI is designed to give Growth, Product, UX, and Engineering a better starting point — a prioritized list of opportunities — so your teams can spend more time designing and shipping great solutions, not hunting for problems.