A/B Testing — Optimise Your Bot Automatically
You shouldn't have to guess which welcome message converts. SLAtech splits traffic deterministically, runs a proper z-test, and applies the winning variant the moment it's statistically significant.
Sound Familiar?
Guessing Which Message Converts
Every welcome message, CTA and proactive bubble is a bet. Without data, you pick based on taste — and often pick wrong.
Manual A/B Is Painful
Exporting logs to a spreadsheet, eyeballing conversion rates and arguing about significance doesn't scale past the first experiment.
No Statistical Confidence
Stopping a test after 100 visitors and calling it 'clearly better' is how you ship regressions. Proper significance testing is mandatory — and tedious without tools.
What You Get
Z-Test Statistical Significance
Built-in two-proportion z-test. Results only declared at p < 0.05, so you ship winners — not noise.
Deterministic Variant Assignment
Each visitor gets the same variant every time, based on a stable hash. No flicker, no skewed samples from users bouncing between arms.
Auto-Apply Winner
When significance is reached, SLAtech updates the live setting to the winning variant and closes the test. No manual cutover, no forgotten experiments.
Dashboard Results
Per-variant impressions, conversions, rate, uplift and current p-value — all in one panel. Suitable for sharing with non-technical stakeholders.
No Traffic-Split Hack
This is not feature-flag plumbing retrofitted into a bot. Variant assignment runs server-side on the same request that serves the widget config.