Feature · SLAtech Business

A/B Testing - Optimise Your Bot Automatically

Q: What can I A/B test?

The welcome message - the first line the bot says. That is the whole list today, and it is deliberately the highest-leverage line on the surface: every visitor who opens the chat reads it before deciding whether to type. Other copy is edited, not tested.

Q: How long does a test usually run?

As long as your traffic needs, which is not something a page can promise you - a large difference on a busy site shows up quickly, a small one on a quiet site may never reach significance at all. You set a minimum sample size, and nothing is declared before it. Noise looks exactly like signal until the sample catches up.

Q: What happens when the test reaches significance?

The winning variant becomes the live value; the test closes; the dashboard records the outcome. You get an email summary. You can start a new test immediately.

Q: What if both variants perform roughly the same?

Then nothing is declared and the test keeps running - there is no timer that gives up on your behalf. Watch the two rates converge in the dashboard, and when they clearly have, pause the test and keep the simpler line. A null result is still an answer: that wording is not where the difference lives.

Q: Can I run multiple tests at once?

One per site, because there is one testable surface. Separate sites run their own tests independently, so an agency can have a dozen in flight across clients.

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.

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p < 0.05

Confidence threshold

Auto

Applies winner

Deterministic

Variant assignment

Developer work

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, engagements, rate and uplift side by side, in one panel you can show someone who does not want to hear the word variance.

🚫

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.

Frequently Asked Questions

What can I A/B test?

The welcome message - the first line the bot says. That is the whole list today, and it is deliberately the highest-leverage line on the surface: every visitor who opens the chat reads it before deciding whether to type. Other copy is edited, not tested.

How long does a test usually run?