Main takeaways:
- Learn how to A/B test without having to know advanced statistics
- Terminologies and concepts explained
- Learn how to apply best practices and avoid common pitfalls to run insightful experiments
9. Journey to eBay Product Manager,
Experimentation
Before eBay
- Venture Capital Analyst-turned Program Manager
- Business Development at startups and mid size companies
At eBay
- Experimentation Services to internal teams (i.e. E2E consultation)
- Program Management (i.e. education, best practices)
16. End-to-end Flow
A sufficient
backblog of
quality testing
ideas
Hypothesis,
success metrics,
launch decision
framework
Configure,
smoke test,
ensure correct
tracking in place
Collect data Statistical
significance and
power
Gather insights
from both
successes and
failures
18. 2. Design
Hypothesis IF (improve headline wordings),
THEN (users are more likely to click on CTA button).
Success Metrics Primary- CTR on CTA button
Secondary- Homepage bounce rate, module engagement
Guardrail- Bought items, Revenue
Launch decision framework
19. 3. Set up
Correct user experience
Correct tracking
Free of data quality issues
Version A (Control)
Version B (variation)
20. 4. Run
Reach minimum sample size needed
No mid-test changes to avoid attribution issues
https://unbounce.com/ab-test-duration-calculator/
Regression to the mean
21. 5. Analyze
Ship, iterate, or abandon?
95% Statistical Significance
80% Statistical Power
Confidence Level
Impressions Clicks CTR Improvement p-value Min.
sample
reached?
Version A
(Control)
120,000 12,000 10% +5%
(+/- 0.5)
0.03 Yes
Version B
(Variation)
120,000 18,000 15%
22. 6. Learn
Learn from both successes and failures
Uncover segment-specific insights and
discoveries for future iterations of ideas
24. Resources
Blogs
- CXL (courses, webinars, and blogs on conversion optimization, ecommerce best practices, A/B testing guide)
- VWO (“Knowledge Base” articles on A/B testing concepts)
- Optimizely (“Knowledge Base” articles on A/B testing concepts)
- Medium #experimentation
Books
- Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing by Ron Kohavi, Diane Tang, Ya Xu
- Experimentation Works: The Surprising Power of Business Experiments by Stefan Thomke