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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:
TestTypical result
Reduce the number of share methods+43% share rate
Remove Facebook / Messenger sharing+14% share rate, +18% conversion rate
Add WhatsApp sharing on mobile+24.5% share rate
Frame the reward as “Give” rather than “Get”+12% share rate
Remove the minimum spend+45% share rate
Shorten offer validity (3 days versus 7)+28% purchase rate
Product imagery versus lifestyle imagery+21% share rate, +5% conversion rate
Percentage off versus money off+20% share rate, +100% purchase rate
Results vary by brand and audience, so treat these as hypotheses to test rather than guarantees.

See also

Last modified on June 29, 2026