ab-testinggoogle-optimizeabtest
Why does my Google Optimize experiment show no clear winner
I did a very simple text, the footer contact form on the left of the website or the right of the website. The results showed "no clear winner". But the below data shows that one has 5 conversions vs 1, which I consider to be significant (albeit low numbers). It also says there is a 95% probability that this one will be better.
What am I not understanding about this data? Is it that the numbers are too low in volume to give a reading or is it a bug or is there something I've missed?
Solution
Its probably because your AB Test did not have a lot of traffic, in each variant. So 5 conversions vs 1, is not really a big difference between the two.
- How to change the HTML content as it's loading on the page
- Confidence interval for the difference between two proportions in Python
- Eliminate VWO Flash of Original Content (FOOC)
- Canary vs. A/B release strategy
- A/B testing using t test
- Can t-test be calculated on large samples with non-normal distribution?
- GA Event tracking - Event being sent but not registered
- Different Algorithms for 50-50 A/B Testing
- How to define an experiment for first time users in Firebase?
- UI not rendering when calling Statsig.updateUser
- How to enable particular feature in android app for specified users based on city using A/B Testing
- Google optimize - Conversion events not being reported on server side experiment
- Force a specific test-variant as preview in google optimize
- p-value borderline significant? Further study?
- iOS: Unable to see the option of App Icon in the Product Page Optimization page in the app store connect
- How can I make my TestCafe framework handle A/B experiments on web apps?
- Need of bonferroni correction in A/B testing
- Using asyncio for doing a/b testing in Python
- Calculate posterior expected loss manually from bayesTest function of bayesAB package
- Firebase Revenue AB testing algorithm
- Google Analytics Content Experiments: Possible to setup Variations for Multiple Pages at once?
- What is the most conclusive way to evaluate an n-way split test where n > 2?
- Is SRM in Google Optimize (Bayesian Model) a thing
- ab testing for product features
- From which step does Firebase split the traffic by variants in AB-test
- best ways to dynamically load config in java?
- Why does my Google Optimize experiment show no clear winner
- Will Google Optimize keep testing my page variants if I push a change to the landing page?
- How to compute the confidence interval of the Difference in Differences method using Python?
- A/B Test solutions for a locked source code environment - server side decides which user gets which variation