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A/B testing is most powerful as an ongoing habit. On average, running five A/B tests leads to around a 60% boost in campaign conversion and four times more referrals over six months.

The Disciplines That Matter

  • Test one thing at a time. Change a single variable, such as imagery, copy or incentive, so you can attribute any change to it. Don’t change the reward and the imagery in the same test.
  • Prioritise by impact, ease and volume. Favour changes that are likely to move results, quick to make, and where you have enough traffic to reach a conclusion.
  • Always be testing. Treat it as continuous optimisation: when one test concludes, start the next.
  • Give both variants equal exposure. Promote referral across post-purchase, homepage and email so the test gets enough traffic.

Common Pitfalls

  • Testing too many things at once.
  • Stopping a test before it concludes.
  • Acting on incomplete results, or cherry-picking the data.

Which Metric to Use

Decide the winner on Conversion rate for higher-volume audiences (it tracks purchasing directly) or Share rate for lower-volume audiences (it measures share behaviour and concludes sooner). See how A/B tests work.

Proven Test Ideas

Real results from live referral programmes, and good starting points for your own tests: Results vary by brand and audience, so treat these as hypotheses to test rather than guarantees.

See Also

Set up an A/B test

Set up an A/B test.

Manage an A/B test

Manage an A/B test.
Last modified on July 13, 2026