Module 08: AB Testing Sequences — AI Follow Up & Sequences

A/B testing lets you run controlled experiments on your sequences to find what actually drives more replies and meetings — based on data, not guesses.

What you can test

Subject lines — the single highest-leverage variable for open rates
Email openers — first sentence or first paragraph
Call-to-action — "15-minute call" vs. "quick demo" vs. "is this even relevant?"
Sequence length — 3-touch vs. 5-touch vs. 7-touch
Channel mix — email-only vs. email + LinkedIn vs. email + call
Value proposition angle — efficiency vs. revenue vs. cost savings vs. risk reduction

Setting up an A/B test

Sequences → [Sequence] → A/B Test → Create Variant

Name the variant. Change only one element. Keep everything else identical. The platform splits incoming contacts 50/50 between Control and Variant.

Statistical significance

Wait until each variant has sent to at least 200 contacts (400 total). Below this threshold, differences in performance may be random variation. The platform flags when significance is reached.

Reading results

Compare: open rate (subject line test), reply rate (opener/CTA test), positive reply rate (full message test), meetings booked (complete sequence test). Apply the winner to all traffic once significance is confirmed.

Only test one variable at a time. Multi-variable tests make it impossible to know what drove the difference.

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