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Tryozi
TelehealthMarketing

Funnel intelligence and conversion forecasting agent

Tryozi spots funnel issues and investigates what is behind them.

The team gets earlier visibility into funnel issues and a fuller picture of what needs attention. An agent evaluates journey data on its own, then digs into relevant session recordings and customer feedback when it spots a problem. Conversion forecasts keep uncertainty in plain view.

Summarize with AI

The impact

81%

less time compiling funnel reports

Funnel intelligence and conversion forecasting agent

Case study facts

Team
Marketing
Systems connected
4
Time to live
2 weeks
Engagement
AI implementation

The impact

Results for the team

less time compiling funnel reports
81%
less time compiling funnel reports
Connected event data and shared funnel definitions reduce the time spent assembling reports manually.
forecast accuracy at the agreed horizon
92%
forecast accuracy at the agreed horizon
Forecasts are checked against actual conversion outcomes at the agreed prediction horizon.
earlier visibility into funnel changes
2 days
earlier visibility into funnel changes
Funnel changes are surfaced sooner, giving the team more time to investigate affected stages and adjust plans.

Situation

One journey. Separate reports.

Separate campaign, page and intake reports make it difficult to explain a conversion change. Recent cohorts may look weak simply because users have not had enough time to finish.


Challenge

A drop in conversion needed context.

Recent cohorts had different amounts of time to finish, and a tracking problem could look like a behavior change. Forecasting needed consistent event definitions, comparable cohorts and visible uncertainty.

What we built

An agent that follows the signal deeper.

The agent maps events to a common funnel and aligns cohorts by time since entry. It checks tracking quality before interpreting movement, estimates expected completion and independently identifies stages that depart from their usual pattern.

When it detects an issue, the agent chooses where to investigate next, examining relevant session recordings and customer feedback for the affected stage and segment. It brings those findings together into an evidence-linked explanation, keeping competing interpretations and tracking gaps visible. Forecasts show their assumptions and uncertainty so the team can plan with them.

AI tech stack

  • Cloudflare Agent CloudAgent infrastructure
  • OpenRouterModel access
  1. Unify events

    Map campaign, landing-page and intake events into one shared journey.

  2. Audit tracking

    Catch missing events, duplicates and shifting definitions automatically.

  3. Align cohorts

    Compare users on equal footing by time since entering the journey.

  4. Pinpoint drop-offs

    Separate real stage movement from changes in traffic mix.

  5. Forecast completion

    Project likely outcomes with uncertainty and lag built in.

  6. Investigate the signal

    Autonomously examine relevant session recordings and customer feedback for the affected segment and stage, then bring the findings into an evidence-linked explanation.

Evals and guardrails

Test forecasts. Expose tracking gaps.

  • Forecast evals

    Test forecasts against later results the model has not seen. Measure errors and whether outcomes fall within predicted ranges at each stage.

  • Data-quality evals

    Test missing, duplicate and delayed events. Check that customer groups are comparable and tracking gaps do not distort forecasts.

  • Guardrails

    Check event fields and dates. Withhold forecasts when data checks fail and require analyst review before acting on unusual patterns.

Results

Teams can investigate the right stage.

Connected event data and shared funnel definitions reduce the time spent assembling reports manually. Forecasts are checked against actual conversion outcomes at the agreed prediction horizon.

Funnel changes are surfaced sooner, giving the team more time to investigate affected stages and adjust plans.

less time compiling funnel reports
81%less time compiling funnel reports
forecast accuracy at the agreed horizon
92%forecast accuracy at the agreed horizon
earlier visibility into funnel changes
2 daysearlier visibility into funnel changes

From Tryozi

“We had tried other partners and nobody could unblock it. Revensi came in, understood the problem quickly, and turned a bottleneck into something that just runs. Total game changer.”
Yazan SalehCEO at Tryozi

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