Your AI product analyst. Charts and answers, done for you.
You ship. Togo tells you what's working — no dashboards to build.
What changed this week?
Togo analyst
Trial-to-paid conversion dipped after paywall_v3 went live on Tuesday.
Variant B brings in more trials, but those users retain worse by week two.
Trial → paid conversion · weekly
metric trial_conversion v2
AlertWeek-2 retention down 4.1 pts in variant B
You built it with AI.
Understand it without a data team —
at less than a tenth of the price.
- more than 10× cheaper than the stack it replaces
- AI analyst included
- Set up in one prompt
01 — Your AI product analyst
Ask. Get the chart and the answer.
Ask in plain English. Togo builds the chart, reads it, and tells you what it means.
- Why did trial conversion dip?
- Which signup source retains best?
- Is the new onboarding working?
Referral signups retain more than twice as well as paid social — and paid social is the biggest source this month, which is why overall retention is slipping.
evidence · d30_retention v1 · signup_completed v1 · last 8 cohorts
02 — Your dashboard
Dashboards that build themselves.
Every chart you need, already built — with what changed summarised on top.
- Ask for any chart
- Releases marked on every chart
- Share with one link
Trial-to-paid is down 2.1 pts, driven by variant B of paywall_v3. Renewals are steady. Referral signups are up 18% and retain best of any source.
12,480
+3.2%
21.4%
−2.1 pts
34.0%
+0.8 pts
$58.2K
+4.1%
trial_conversion v2
last 30 days
Variant B lifts trial starts but hurts week-2 retention. It is winning the number most teams watch and losing the one that pays.
+12.0%
vs control
−4.1 pts
vs control
98% confidence · 3,204 users · sample ratio OK
03 — Proactive monitoring
It watches, so you do not have to.
Togo keeps asking for you, and speaks up when a release or a test moves a metric that matters.
- Every metric and experiment, checked continuously
- Alerts on real evidence, not noise
- Every alert explains what, why, and how sure
04 — Knows the playbook
It knows what subscription apps should measure.
The standard lifecycle and its key metrics, ready on day one.
- signup
- onboarding
- activation
- trial
- subscribe
- renew
- churn
Activation rate
Signups who finish onboarding and hit a first key action.
Trial → paid conversion
Trials that convert, by cohort and source.
Day-7 and day-30 retention
Who keeps coming back, by source, plan and variant.
Renewal rate
Subscriptions that renew each period.
Churn and its causes
Cancellations traced to what users did beforehand.
Experiment results
Lift, confidence and health checks for every test.
05 — Set up in one prompt
Your coding agent does the setup.
Paste one prompt into Claude Code or Cursor. It installs, instruments and connects everything — every event declared, so the analyst never guesses.
- Typed tracking, checked at compile time
- Typos never reach your data
- Every event documented
06 — And everything around it
Built for teams without a data team.
The work an analyst would do, done continuously.
Monday briefing
What moved, why, and what to look at — every week.
Alerts where you work
In Slack, email or your coding agent, with the evidence.
Release impact
See which metrics each deploy moved.
Fix it with your agent
The analyst hands your agent the finding and the code to fix.
Revenue, connected
Subscription revenue and churn next to user behaviour.
Benchmarks vs similar apps
Compare your key metrics with apps like yours.
07 — Pricing
Less than a tenth of the price. The analyst is included.
Priced per event, with Analyst Credits at every tier and spend caps on by default.
- Analyst Credits included at every tier
- Per-meter spend caps, on by default
- No seat pricing — the whole team sees everything
08 — Customers