Measurement Guide

How to A/B Test Social Media Posts With Your Own Data

When a post performs well, the opening line, image, timing, and audience can all play a part. A paired social media experiment gives you a narrower question to answer. On Markaestro’s Business plan, you can schedule two versions on one channel and compare their measured results after a set window.

By Markaestro, Product team · Updated

Turn a Suggestion Into a Question

Imagine a bookshop whose staff picks draw more views than publisher announcements. Open its ranked posts in Intelligence and read a few examples. A question you can test is whether naming the bookseller in the opening line changes how many views a recommendation receives.

VersionOpening lineKeep the same
AOur pick for a rainy weekend is here.Book, cover photo, channel, and call to action
BMaya from our bookselling team picked this for a rainy weekend.Book, cover photo, channel, and call to action

Schedule the Pair

In Intelligence, open Experiments and write down the hypothesis. Prepare both posts for the same brand and channel. Choose comparable slots and a measurement window of 3, 7, or 14 days. A launch-day post paired with a quiet Sunday post would leave you guessing whether the opening line made the difference.

Decide which result matters before you see the numbers. For the bookshop example, record views for both versions. If the actual question is whether readers visit the shop’s website, plan a separate test using a tracked link and a click measure where available.

Read the Result and Repeat

Check the result in your Inbox when the window ends. An inconclusive result is useful grounds for running another pair. A clear lead on one book gives you a reason to try the same opening on another recommendation before you change the brand’s writing guide.

When you share the result, include the channel, dates, metric, and the two captions. Your client can then see what you tested and decide whether the finding applies to their next campaign.

Markaestro, Product team

Guides from the team that builds Markaestro’s publishing, approval, and reporting tools.

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