Model · predict and act
+44%
Paid conversion
0.9% → 1.3% of new accounts converting to paid
Creative software · SaaS
Behavioral model infrastructure for companies at scale
Simulate your customers before you change anything.
Moveo One trains predictive models on your first-party behavioral data and runs calibrated simulations of your customer base. Every launch, price, and journey change is tested before a real customer sees it.
CalibrationCohort calibrationfitting
- 01 Fitting
- 02 Calibrating
- 03 N dimensions
From production models and simulation runs
How we validate →- Precision on carts flagged at add-to-cart
- 97.3%
- Fashion e-commerce
- Accuracy across 49,718 held-out sessions
- 93.6%
- B2C onboarding
- AUC-ROC on a live client holdout
- 0.942
- Production model
- Tap likelihood, held across four independent simulation runs
- 9–10%
- Content simulation
01The platform
Model. Predict. Act. Simulate.
- 01
Model
Behavioral models trained on your first-party data. Every customer, every session.
- 02
Predict
Per-customer probability of conversion, churn, activation or any behavior, at runtime, with the reason.
- 03
Act
Webhooks, API, Slack, email and experiments attached to predicted cohorts.
- 04
Simulate
Synthetic customers calibrated to your real cohorts, run against any change before launch.
02Why calibration matters
A simulation is only as good as the population inside it.
Dashboards describe what happened. Surveys ask what people say. A/B tests ship first and measure after. Simulation answers before launch, and only if the simulated customers behave like yours.
Generic synthetic personasUnfitted
- Populations assembled from public data or prompted LLM personas
- Answers what a plausible person might do
- No ground truth to check the simulation against
Moveo One · calibrated cohortsFitted
- Cohorts derived from your own first-party behavior
- Each cohort tuned until it reproduces the outcomes you observe
- Drift corrected after every run, validated on held-out sessions
How a cohort is calibrated
- 01
Segment
Anonymous telemetry is split into behavioral segments automatically. A name like “the returning considerer” describes what emerges from the data, not a fixed list.
- 02
Model
Probabilistic models learn how each segment moves through every section of the product. Training usually takes a few days.
- 03
Calibrate
The same models recalibrate the synthetic cohorts until synthetic users behave like real ones, and keep correcting drift run after run.
- 04
Validate
Historical sessions are held out and scored as unseen data. A simulated outcome is then confirmed with an A/B split inside the platform, within days.
No telemetry yet? Cohorts start from behavioral patterns learned in prior testing, or are calibrated from user testing and focus groups. Less precise, and reported as such.
Read the method →03Results
Results from models and simulations in production.
Models that predicted a customer's next move and changed the decision in the same session, and simulations that caught a problem before a real customer saw it. Every model runs with a holdout, so the lift is measured, not assumed.
Model · predict and act
+27%
Revenue per signup
Revenue per signup, both intent cohorts combined
Consumer education app
Model · predict and act
+61%
Onboarding completion
Onboarding completion among at-risk users
Gaming platform · 200K users
Model · predict and act
4.2 days
Median warning before a customer churns
80.8% recall on customers who went on to churn. Enough lead time to act while they are still there.
Consumer brand
Simulation · before launch
18 of 100
Synthetic shoppers who did not buy, and why
They converged on one missing thing. The page was changed before a real customer saw it.
Retail category page
04Built for two scales
One platform. Deployed the way your organisation works.
For enterprises
Global brands, banks and retailers.
For scale-ups
Digital-native companies past product-market fit.
How it starts
Enterprise
A briefing, then a scoped pilot on your own data
Scale-ups
Connect a warehouse or install the SDK yourself
Deployment
Enterprise
Managed EU or US, dedicated single-tenant, or on-premise
Scale-ups
Managed cloud in the EU or US
Data & security
Enterprise
Data residency, SSO, DPA and a security review pack
Scale-ups
Encryption, MFA and a DPA on request
Integration
Enterprise
Warehouse-first, with dedicated modeling support from our ML team
Scale-ups
Prediction API, webhooks and an MCP server for your AI assistant
Commercials
Enterprise
Custom, with an SLA
Scale-ups
Published pricing, Pilot from €1,500 / month
05Solutions
Where behavioral models change the decision.
Enterprise
Consumer Brands
Test campaigns, content, offers and launches against the customers they will actually reach.
9 use cases→
Enterprise
Financial Services
Predict onboarding completion, product adoption and attrition across regulated digital channels.
12 use cases→
Enterprise
Retail
Model every shopper across app and web. Simulate launches, pricing and journeys before rollout.
16 use cases→
Scale-ups
Digital-native & Scale-ups
Activation, conversion, churn and pricing, predicted per customer and simulated before you ship.
30 use cases→
06Research & validation
Calibrated, held out, verified.
Every model is scored on sessions it never saw, and every simulation is checked for repeatability before its ranking is trusted.
Content simulation · 8 social creatives · 12 runs
CreativeTap likelihood
- HOffer with conditions listed8–11%
- AConditional offer, price comparison10%
- BHeadline offer, question as the hook9–10%
- COffer with a condition, large numeral9%
- ESeasonal visual, price drop9%
- DPerson on camera, question-led6%
- FStory-led, two people, a handoff5%
- GSocial-proof counter5%
Offer-first Story-led Individual run
Repeatability
9–10%
Tap likelihood for the same creative across four independent runs, while raw taps ranged from 1 to 4.
Offer-first creatives held 9–11% tap likelihood. Story-led and social-proof creatives sat at 5–6%. The ranking came from simulation alone, without buying an impression.
Hosting
EU & US regions
Access
SSO · MFA
Privacy
GDPR-aligned · DPA
Deployment
Managed · single-tenant · on-prem
Certification
SOC 2 · ISO 27001 in progress
07FAQ
Questions from enterprise and scale-up teams.
Deployment, data, validation, integration and pricing. Anything else goes to the team directly.
info@moveo.oneTest the next decision on your customers before they see it.
A 30-minute briefing on how Moveo One would model your customer base, where it would deploy, and what to simulate first.