> ## Documentation Index > Fetch the complete documentation index at: https://docs.mention-me.com/llms.txt > Use this file to discover all available pages before exploring further. # Best Practices for A/B Testing > Planning principles, proven test templates, and optimisation tips for getting the most from A/B testing in Mention Me. ## Planning your A/B test ### Test one thing at a time Focus on a single variable -- imagery, copy, or incentive type -- to ensure you can isolate the cause of any performance changes. * 7-day vs. 14-day validity period * Branded vs. lifestyle imagery * Avoid changing both incentives and visuals at once ### Prioritise what to test * **Impact:** Will the change likely drive major results? * **Ease:** Is it quick and simple to implement? * **Volume:** Do you have enough traffic to support a test? ### Always be testing Treat A/B testing as an ongoing optimisation process. Continually test and iterate to find new insights. ### Promote your referral programme widely * Ensure both test variations get equal exposure * Include referral promotions in emails, homepage, and post-purchase flows ### Common pitfalls to avoid * Avoid testing too many things at once * Don't stop the test too early * Act only on results from completed tests * Don't cherry-pick data -- look at the full picture ## Test templates The templates below are sorted by effort and impact level. Use them to identify what drives the greatest performance uplift. ### Reduce share methods (lower effort) Test name + native + link vs. offering all share methods. **Result:** +43% Share Rate A/B test comparing reduced share methods — Control vs Variant with +43% share rate ### Remove Meta sharing (lower effort) Remove Facebook and Messenger in favour of higher-performing options. **Result:** +14% Share Rate, +18% Conversion Rate A/B test removing Meta sharing — +14% share rate, +18% conversion rate ### Add WhatsApp sharing (lower effort) Add WhatsApp to the mobile share options. **Result:** +24.5% Share Rate ### Reward framing: Give vs. Get (lower effort) Test CTA: "Give 20% Off" vs. "Get 20% Off". **Result:** +12% Share Rate when "Give" used A/B test comparing Give vs Get reward framing — +12% share rate ### Add brand USPs (lower effort) Highlight brand strengths to add motivation. Requires copy changes on referrer page, corner peel, and messaging. ### Lifestyle vs. product imagery (higher impact) Lifestyle (social scenes) vs. product-only images. **Result:** +21% Share Rate and +5% Conversion Rate with product focus A/B test comparing lifestyle vs product imagery — +21% share rate ### Lifestyle vs. reward focus imagery (higher impact) Ideal for service-led brands. ### Money vs. percentage off (higher impact) Example: £20 off vs. 55% discount (min £30 spend). **Result:** +20% Share Rate and +100% Purchase Rate for % discount A/B test comparing money vs percentage off — +20% share rate ### Reducing reward value (higher impact) Test reward value sensitivity to optimise ROI. ### Adjusting minimum spend (lower effort) Test with vs. without minimum spend requirement. **Result:** +45% Share Rate when removed A/B test adjusting minimum spend — +45% share rate when removed ### Shorten offer validity (lower effort) Increase urgency by reducing offer duration. **Result:** 3-day expiry vs. 7-day -- +28% Purchase Rate A/B test shortening offer validity — +28% purchase rate with 3-day expiry ### Extend offer validity (lower effort) Beneficial for high-consideration purchases. ## Referral best practice (when A/B testing isn't feasible) Even without formal A/B testing, you can analyse and optimise your programme using funnel data, benchmarking, and engagement metrics. ### Understand the referral funnel 1. Customer purchases and sees referral prompt 2. Refers a friend 3. Friend clicks the link and visits your referral page 4. Friend registers to redeem the offer 5. Friend completes a purchase 6. Referrer receives the reward ### Optimise using benchmarking and Explore **Key metrics to monitor:** * Impressions per order * Enrolment rate * Share rate * Shares per sharer * Responses per share * Incented per response * Purchases per incented **Explore section analysis dimensions:** * Promotion point (e.g. homepage vs. post-purchase) * Share method (WhatsApp, Name Share, etc.) * Audience segment * Device (mobile vs. desktop) ### Practical optimisation tips **1. Maximise promotion points** * Use homepage banners, corner peels, and email placement to ensure visibility * Email campaign examples: * +107% Share Rate from Solus email launch * +336% Referrals from Valentine's Day promo * 50% Open Rate with targeted reminder email **2. Improve referrer experience** * Enable native share buttons * Allow message personalisation * Encourage multiple shares per referrer **3. Improve referee experience** * Use social proof (e.g. Trustpilot) * Highlight key USPs at every touchpoint * Offer exploration CTAs * Test offer duration for urgency impact **4. Enhance tracking** * Use "situation" tags to track performance by placement * Run cohort or device-type analysis * Link referral journeys to customer value outcomes