A/B Testing Overview A/B testing is a user
Description: AB Testing Overview AB testing is a user experience research methodology. AB tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or two-sample hypothesis
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slide1. A/B Testing Overview A/B testing is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or “two-sample hypothesis testing” as used in the field of statistics.<br>
slide2. Product Roadmap via A/B Testing Market Needs + Customer Expectations + Business Goals 01 02 03 04 05<br>
slide3. A/B Testing Process CONTINUOUS
IMPROVEMENT 01 02 03 04 05<br>
slide4. A/B Testing Process BEFORE OPTIMIZATION WITH OPTIMIZATION AFTER OPTIMIZATION Original -1% Variation 1-4.5% $1,000 in Sales $4,500 in Sales<br>
slide5. A/B Testing Process 50% visitors
see variation A 30% Conversion rate 50% visitors
see variation B 16% Conversion rate<br>
slide6. A/B Testing Campaign CAMPAIGN Ad 01 Ad 01 Ad 02 Ad 03 Audience 01 Audience 02 Audience 03 Audience 04 Campaign with a single objective. For example, website conversations. Four separate Ad sets targeting two different audience. One Ad per Ad set. Notice there are only 2 different ads. Each Ad is displayed in its own Ad set to each audience.<br>
slide7. A/B Testing Decision Tree<br>
slide8. A/B Test Example +1.5 Landing Page +0.8 -4.0% +6.0% A/B Testing Improvements To Statistically Significant Confidence 6 8 4.5 2<br>
slide9. Landing Page A/B Test SUM OF NEWSLETTER SIGN UPS SUM OF AMOUNT<br>
slide10. A/B Test Dashboard WEIGHTED SATISFACTION SCORE POSITIVE SATISFACTION RATING WEIGHTED SATISFACTION SCORE POSITIVE SATISFACTION RATING<br>
slide11. A/B Test Dashboard EDIT WIDGET - SAVE WIDGET EDIT WIDGET - 6 MONTH LTV EDIT WIDGET IN TRIAL - PURCHASE EDIT WIDGET - SAVE WIDGET EDIT WIDGET - 6 MONTH LTV EDIT WIDGET IN TRIAL - PURCHASE AB Test Feature Y Funnels AB Test Feature X Funnels<br>
slide12. A/B Test Analytics Average session
length 1% Views Content occurrences/session 28% Sessions per daily user 7% Lifetime value per daily user 60% Subscribing occurrence per day 24% Time in subscribing per daily user 24% Sign In occurrences per daily user 32% Subscribed occurrences per daily user 9% Daily Active Users<br>
slide13. A/B Test Results A/B Testing Line Graph Total visitors Average conversion rate Original Variation 01<br>
slide14. A/B Test Results Sum of Newsletter Sign Ups Chance of B Outperforming A<br>
slide15. A/B Test Tracking<br>
slide2. Product Roadmap via A/B Testing Market Needs + Customer Expectations + Business Goals 01 02 03 04 05<br>
slide3. A/B Testing Process CONTINUOUS
IMPROVEMENT 01 02 03 04 05<br>
slide4. A/B Testing Process BEFORE OPTIMIZATION WITH OPTIMIZATION AFTER OPTIMIZATION Original -1% Variation 1-4.5% $1,000 in Sales $4,500 in Sales<br>
slide5. A/B Testing Process 50% visitors
see variation A 30% Conversion rate 50% visitors
see variation B 16% Conversion rate<br>
slide6. A/B Testing Campaign CAMPAIGN Ad 01 Ad 01 Ad 02 Ad 03 Audience 01 Audience 02 Audience 03 Audience 04 Campaign with a single objective. For example, website conversations. Four separate Ad sets targeting two different audience. One Ad per Ad set. Notice there are only 2 different ads. Each Ad is displayed in its own Ad set to each audience.<br>
slide7. A/B Testing Decision Tree<br>
slide8. A/B Test Example +1.5 Landing Page +0.8 -4.0% +6.0% A/B Testing Improvements To Statistically Significant Confidence 6 8 4.5 2<br>
slide9. Landing Page A/B Test SUM OF NEWSLETTER SIGN UPS SUM OF AMOUNT<br>
slide10. A/B Test Dashboard WEIGHTED SATISFACTION SCORE POSITIVE SATISFACTION RATING WEIGHTED SATISFACTION SCORE POSITIVE SATISFACTION RATING<br>
slide11. A/B Test Dashboard EDIT WIDGET - SAVE WIDGET EDIT WIDGET - 6 MONTH LTV EDIT WIDGET IN TRIAL - PURCHASE EDIT WIDGET - SAVE WIDGET EDIT WIDGET - 6 MONTH LTV EDIT WIDGET IN TRIAL - PURCHASE AB Test Feature Y Funnels AB Test Feature X Funnels<br>
slide12. A/B Test Analytics Average session
length 1% Views Content occurrences/session 28% Sessions per daily user 7% Lifetime value per daily user 60% Subscribing occurrence per day 24% Time in subscribing per daily user 24% Sign In occurrences per daily user 32% Subscribed occurrences per daily user 9% Daily Active Users<br>
slide13. A/B Test Results A/B Testing Line Graph Total visitors Average conversion rate Original Variation 01<br>
slide14. A/B Test Results Sum of Newsletter Sign Ups Chance of B Outperforming A<br>
slide15. A/B Test Tracking<br>