Why abTestBot?
The A/B testing engine built for accuracy, not just activity.
True Viewport Impression Tracking
Most A/B testing tools — Optimizely, VWO, AB Tasty — count an “impression” the moment a page loads, even if the visitor never scrolled down to see your change. This dilutes your data and slows down your ability to reach meaningful results.
abTestBot uses the browser’s IntersectionObserver API to only count an impression when your change actually enters the visitor’s viewport. This follows IAB/MRC viewable impression standards — the same standards used in digital advertising.
The result: no diluted results, faster statistical significance, and more accurate data.
Counts visitors who never saw your change
Only counts visitors who actually saw it
Engagement Intelligence Per Variant
Other tools have heatmaps (Hotjar, Crazy Egg) or A/B testing (Optimizely, VWO) — but never both tied together. abTestBot tracks per-element engagement metrics directly tied to each variant:
Viewport Dwell Time
How long visitors linger on changed elements
Hover Tracking
Mouse attention signals on each element
Scroll Depth Correlation
How far visitors scroll in each variant
Element-Level Click Tracking
Per-element clicks tied to each variant
This tells you not just if a variant won, but why — did visitors spend more time reading the new headline? Did they hover over the CTA more? No other SMB A/B testing tool does this.
AI-Powered Test Ideas with Smart Goals
AI analyzes your live site and generates specific, actionable A/B test hypotheses. Each idea comes with pre-configured goals — the AI identifies what to measure (signup clicks, form submissions, page visits) with the exact CSS selectors and URL patterns.
One click on “Test This” takes you from idea to running experiment. Ideas are delivered on a schedule you choose — daily, weekly, or on demand.
“Replace the hero headline with a benefit-driven version emphasizing free trial. Hypothesis: visitors respond more to value propositions than feature descriptions.”
Bayesian Statistics in Plain English
No p-values, confidence intervals, or statistical jargon. abTestBot translates complex Bayesian statistics into language anyone can understand.
“Variant B is converting 15.2% better. 89% chance it’s the real winner. Still early — need more visitors to be sure.”
Automatic winner detection with configurable confidence thresholds. Designed for marketers and product managers, not data scientists.
Lightweight & Fast
Synchronous loading — zero content flicker
Loads after page paint — zero performance impact
Sub-5ms latency globally
No impact on Core Web Vitals scores
How abTestBot Compares
| Feature | abTestBot | Optimizely | VWO | AB Tasty |
|---|---|---|---|---|
| Viewport-gated impressions | ✓ | ✗ | ✗ | ✗ |
| Per-variant engagement metrics | ✓ | ✗ | ✗ | ✗ |
| AI-generated test ideas | ✓ | ✗ | ✗ | Personalisation only |
| Smart goals from AI | ✓ | ✗ | ✗ | ✗ |
| Plain-English results | ✓ | Partial | Partial | Partial |
| <1KB snippet | ✓ | ~80KB | ~50KB | ~40KB |
| Free tier | ✓ | ✗ | Limited | ✗ |
| Bayesian statistics | ✓ | ✓ | ✓ | ✓ |
| Pricing | Free + paid plans | $50K+/yr | From $393/mo | Custom quote |
Frequently Asked Questions
How is viewport tracking different from regular impression tracking?
Will engagement tracking slow down my site?
How does the AI generate test ideas?
What if my change is above the fold — does viewport tracking matter?
How much traffic do I need for meaningful results?
Can I use abTestBot with my existing analytics tools?
Start testing smarter, not harder
Join teams who are getting more accurate results with less traffic.