> ## 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. # How to Set Up an A/B Test > Step-by-step guide to creating, launching, and analysing A/B tests in Mention Me using templates or custom configurations. Running A/B tests is one of the most effective ways to optimise your referral campaigns. With the updated test creation flow, you can launch smart experiments in minutes using proven templates or create custom tests tailored to your goals. ## Step-by-step guide Open Mention Me and navigate to the campaign where you'd like to run an A/B test. Click the **Run an A/B Test** button at the top of the campaign dashboard. Run an A/B Test button on campaign dashboard Select one of the 12 pre-built test templates based on high-performance examples from other brands. Templates are labelled: * **High Impact**: Proven to deliver strong uplift * **Low Effort**: Quick and easy to implement Filter templates using the toggles for Impact, Effort, or test type at the top of the gallery. A/B test template gallery with impact and effort labels For flexibility, choose **Custom Test** to configure your own experience. Custom test configuration option The variant may be pre-filled based on best-performing defaults (e.g. select specific share methods). Use the **Select share methods** button to customise the variant experience further. Variant experience configuration with share method selection Configure how your A/B test will run. Smart defaults are applied to save time: * **Confidence Level:** Automatically selected based on your campaign traffic (e.g. 90%) * **Success Metric:** Defaults to variation conversion rate * **Estimated Duration:** Example shows 4 weeks, depending on traffic and goals Test parameters with confidence level and estimated duration Click **Adjust Speed and Metrics** to: * Change Confidence Level (speed vs reliability) * Select a custom testing metric Adjust Speed and Metrics panel for confidence and metric selection Control what happens when the test ends. By default: * The test will auto-conclude after: * 8 weeks * Finding a statistically significant winner * No meaningful difference over the campaign duration * All traffic will be directed to the best-performing variant After the test ends, you can manually switch the variant that receives 100% of traffic. Test outcome settings with auto-conclude options Click **Run Test** when you're ready. Preview the final experience to see what each variation looks like post-purchase. After launch: * The campaign page will show your live test * Click **View A/B Test Details** to monitor real-time performance Live test on campaign page with View A/B Test Details You'll receive an outcome email (e.g. winner found, inconclusive). Final traffic will be routed to your selected variant. Use the Campaign Dashboard to: * **View Detailed Results** * **Use a Different Variant** (manually redirect traffic) Concluded test results with variant routing options ## What happens next? Keep testing To achieve long-term gains, continue testing. As soon as one experiment concludes, we recommend launching another.