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FACEBOOK POST A/B TESTING

Try two versions of your next update.

Compare an announcement with a benefit-led version. Keep the date, price and availability identical.

People sharing ideas in a group discussion
Illustrative image. Responses are simulated.

Example messages.

A community fall festival runs Saturday, October 10, 10 a.m. to 4 p.m. at Riverside Park, with free entry and $5 pumpkin picking. Live music is included.

A Straight announcement

Fall Festival is Saturday, Oct 10, 10 a.m. to 4 p.m. at Riverside Park. Free entry, pumpkin picking $5.

B Benefit-led invite

Pick a pumpkin, hear live music and let the kids run around. Riverside Park, Sat Oct 10, 10 to 4. Free entry, pumpkins $5.

Run a clear comparison.

Use the same audience and product facts for both versions. Choose a question before running: clarity, credibility, interest or preference.

Head-to-head mode shows both texts together. Independent mode scores each separately against the same scale, then compares the scores for each profile.

What the results mean.

A simulated response is not evidence of Facebook ad performance.

The survey supplies observed profiles. AI generates the reactions to your text. The included records are unweighted, and the results are not responses collected from people.

Frequently asked questions

How do I start?

Try a free study or open Studio to choose your audience. Paste both texts, add relevant context and run the study.

What should I do with a close result?

Inspect individual responses and revise the contrast. Small score differences are not a significance test. Use real audience feedback or a live experiment to validate consequential decisions.

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