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Intelligence between your data and your decisions

Moveo One tells you what's about to happen.

Predictive models on top of your existing analytics. Activation, conversion, churn — scored per user, in real time. And when you're ready to ship: synthetic users that test your flows before a real visitor ever lands.

Setup in <30 minPer-user prediction scoresSynthetic user testing

Will convert

92%

Churn risk

Low

Live

Trusted by product teams

YunoDynamic MockupsPlainlyOutpostchessRoberto Baressi

See it in motion

A 90-second tour of Moveo in action.

Watch how Moveo turns raw behavioral data into per-user predictions — and how those predictions plug into your existing product loops.

app.moveo.one — live demo

What you get

One platform. Four superpowers.

Predict

Probability scores per user

Conversion, churn, activation — every model returns a calibrated probability you can trust and act on.

Explain

The reason behind every prediction

Not just a score — the why. Missing feature, price sensitivity, UX friction, or weak CS. Act on cause, not symptom.

Simulate

Synthetic users, real behavior

Test feature changes against synthetic users that mirror your real cohorts. See the impact before you ship.

AB
Experiment

Targeted tests, real lift

Run experiments scoped to the exact users predicted to respond. Stop diluting results across irrelevant cohorts.

How it works

Raw data in. Predictions out.

A pipeline you can ship today. Moveo One sits on top of the analytics you already pay for and turns it into a forward-looking signal.

  1. 01

    Connect your data

    Stream events from your existing analytics or pipe in raw behavioral logs. No schema migration, no rip-and-replace.

    Connect with

    • PostHog logo
      PostHog
    • Amplitude logo
      Amplitude
    • Mixpanel logo
      Mixpanel
    • Segment logo
      Segment
    • BigQuery logo
      BigQuery
    • Redshift logo
      Redshift
    • Snowflake logo
      Snowflake
  2. 02

    Train predictive models

    Moveo trains conversion, churn, and general behavioral models on your data. Production-ready in under 30 minutes.

    example: The Reason for churn

    • UX0.36
    • Support0.82
    • Price0.41
    • Missing feature0.58
  3. 03

    Act on predictions

    Trigger paywalls, nudges, emails, and experiments scoped to the exact users predicted to respond. Measure lift end-to-end.

    Act with

    • Webhook logo
      Webhook
    • Slack logo
      Slack
    • Email logo
      Email
    • Intercom logo
      Intercom
    • n8n logo
      n8n
    • PostHog logo
      PostHog
    • Database logo
      Database
04Beta

Simulate before you ship.

Your models are already running. Moveo uses them to calibrate synthetic users against your real behavioral buckets. Point them at any new feature, paywall, or redesign — and watch how each cohort responds, before a single real user touches the change.

  • Calibrated to match your live user distribution
  • Calibration zone marks the predicted success rate
  • Catch regressions for power users before launch

Simulation run · staging build

live
Goal · agent landingsReached
Complete onboardingtarget → 82%
82%18% lost
Activate key featuretarget → 61%
61%39% lost
Reach paywalltarget → 44%
44%56% lost
Convert to paidtarget → 19%
19%81% lost
1,248 synthetic sessionsΔ −4.2% vs. production

39% of mid-funnel agents drop before activation · 56% of at-risk agents stall at paywall

Proof, not promises

Measurable results, powered by predictions.

01 — Freemium → Paid

+44%

0.9% → 1.3%

Source: AI design product company

Paid conversion lift

Problem

Thousands of signups, but almost nobody subscribed. Conversion felt random.

Insight

Moveo flagged 250 / 2,570 freemium users with ≥80% probability to subscribe. Only this cohort got conversion nudges (email + in-app + paywall trigger).

02 — Soft vs Hard Paywall

+27%

Revenue per signup

Source: B2C ed-tech company

Right paywall, right user

Problem

Hard paywalls converted better but killed top-of-funnel signups. No one knew when to use which.

Insight

Moveo predicted intent on session start. High-intent users hit the hard paywall, exploratory users got the soft one. Both cohorts performed.

03 — Onboarding Completion

+61%

Opening rate

Source: Gaming platform - 200K users

Catch drop-offs before they happen

Problem

Users abandoned step 3-7 of onboarding. Generic reminders moved the number by 2%.

Insight

Moveo predicted likelihood-to-abandon mid-flow. At-risk users got a fast-forwarded before they bounced — not after.

FAQ

Questions, answered.

Still curious? Reach out — we'd rather have a real conversation than a sales call.

info@moveo.one

GDPR-alignedEU & US hostingMFA & SSO readySOC 2 · ISO 27001 — in progressSecurity & compliance →

Ready when you are

It's 2026. Stop reacting to your users. Start anticipating them.

Setup in under 30 minutes. Free to start. No credit card.