Intent scoring that learns from your conversions
WysAI gives every site its own model. It scores visitors from day one, retrains after every 10 conversions, and only switches to a new model when it beats the default on visitors it hasn't seen. No configuration, no data science team.
- No cookies
- GDPR-ready
- No cross-site tracking
Model in use
Trained on your conversions
- 1Collect
Conversions + non-converters, last 90 days
- 2Train
Logistic model over 5 behavior signals
- 3Test
Scored on the newest 25%, held back
- 4Adopt
Only if it ranks better (AUC) than default
Signal weights
- Sessions
- Pages viewed
- Engaged time
- Scroll depth
- Clicks
Illustrative weights. Every site's model is different, and no accuracy figure is implied.
The problem
Most intent scores are static. Your visitors aren't.
Every site is different. A score that never learns from your own conversions misses what actually drives them.
One-size-fits-all scoring
Hand-tuned rules go stale
Static models need data scientists
How it works
How WysAI learns over time
Select a stage to see what WysAI does with your conversions.
Signals in the score
With at least 15 conversions and 30 non-converters in 90 days, WysAI trains a model for your site.
What happens
- Compares visitors who converted with visitors who didn't
- Only behavior before a conversion counts
- Each signal is weighted by how well it separates the two
Weights stay close to the defaults until your data clearly says otherwise, so a few conversions can't swing the model.
Inside a training run
Learn, test, and only then adopt
Four steps repeat every time enough new conversions arrive.
Step 1 of 4
Start from default weights
Every site starts with the same default weights across sessions, pages viewed, engaged time, scroll depth and clicks, so scoring works from the first visit, before there's any conversion history.
Until your site has enough conversions, scores reflect general engagement rather than what converts for you.
Capabilities
Built to be trusted
One model per site
Five behavioral signals
Pre-conversion behavior only
Tested before it's trusted
Retrains every 10 conversions
Visible in your dashboard
WysAI vs traditional approaches
| Feature | WysAI | Rule-based | Static ML |
|---|---|---|---|
| Adapts to your site | |||
| Retrains on your conversions | |||
| Configuration | None | Manual rules | Model tuning |
| Follows recent behavior |
What counts as a conversion?
WysAI learns from the events you flag as conversions: the outcomes that matter to your business.
- E-commerce: purchases, add-to-cart, checkouts
- SaaS: sign-ups, trial starts, activations
- Content: newsletter sign-ups, downloads
- Custom: any tracked event you flag as a conversion
Example scenario
A SaaS site where readers become buyers
Imagine a SaaS company whose sign-ups tend to come from visitors who read product pages to the end. Out of the box, WysAI weighs all five signals by default. After enough sign-ups, the trained model gives scroll depth and engaged time more weight. It's only adopted because it ranked the newest, held-back visitors better than the defaults.
Example scenario: illustrative, not a customer or measured result.
Weight change after training
Illustrative- Scroll depth▲ Higher
- Engaged time▲ Higher
- SessionsAbout the same
- Pages viewed▼ Lower
- Clicks▼ Lower
Privacy
Your data stays yours
Each site's model is fully isolated. Your conversion data never influences another site's model.
Model isolation
Behavior, not identity
Anonymous visitor IDs
FAQ
Frequently asked questions
How does WysAI learn from my conversions?
How many conversions does it need before it starts learning?
What if the trained model is worse than the defaults?
How accurate is WysAI?
What counts as a conversion?
Does my data improve other sites' models?
Start learning from your conversions.
WysAI scores visitors from day one and retrains as your conversions come in. 90-day free trial, no credit card.