optimization summer games - get started with a/b testing

Results are always greener on the other side

Lessons learned from failed or inconclusive experiments

Strategy Consultant

@LTatarov

Lev Tatarov

You are not going to get wins all the time!

* N = 90k, May 2014 - July 2016, >=10k visitors, wins = significant uplift on 1 or more goal

You are not going to get wins all the time!

* N = 90k, May 2014 - July 2016, >=10k visitors, wins = significant uplift on 1 or more goal

Inconclusive results

You are not going to get wins all the time!

Inconclusive resultsNo wins

* N = 90k, May 2014 - July 2016, >=10k visitors, wins = significant uplift on 1 or more goal

We need to get better at learning from losing and inconclusive experiments !!!

Hypothesis: If we add press mentions at the bottom of the homepage, we will generate more clicks on the CTA because it will create trust in the brand

Blacklane

Result: No significant difference

A

B

Conclusion: Visitors are not driven to convert by press mentions

Next steps: ...???

A great hypothesis begins with the problem, not the solution

Problem Solution Result

Meaningful hypotheses drive focus

Problem

Solution Solution Solution

Problem

Solution Solution Solution

Company goal

Time

Insight #1

Strong hypotheses enable learning from failures

Start with a meaningful problem definition

Hypothesis: Because we have unused real-estate above the fold on the homepage, if we add press mentions, we will increase booking CTA conversion

Blacklane

Result: No significant difference

A

B

Conclusion: Visitors are not driven to convert by press mentions

Next steps: What else can we use this real-estate for?

Blacklane - next solution

Result: Increased conversion on CTA!B

Hypothesis: Because we have unused real-estate above the fold on the homepage, if we add USPs, we will increase booking CTA conversion

Hypothesis: Because videos are more engaging and informative, if we use them instead of photos on the product page, conversion will increase

Chrome Industries

Result: +0.2% in conversion

A

B

• Use a facade to test whether there is general interest in a certain functionality

• Saves the effort of full implementation

• Allows gradual testing of functionalities

Smoke testing

Smoke testing

Use smoke testing to measure demand for complex functionality before it is built

Insight #2

Hypothesis: Because videos are more engaging and informative, if we use images instead of photos on the product page, conversion will increase

Chrome Industries

Result: +0.2% in conversion

A

B

Conclusion: Difference between variation is not big enough to justify production costs of videos for all products

Hypothesis: Because of users’ reading habits (F shape), if we move the videos link to the left side of the menu it will be more noticeable and will drive more visitors to the videos page,

IGN

Result: -92.3% in clicks

A

B

Insight #3

A significant drop in an important metric might mean you found something your users care about or sensitive to

Why? Visitors believed that the section was deleted / didn’t bother looking for it or went to find the videos elsewhere (youtube)

Hypothesis: Because of users’ reading habits (F shape), if we move the videos link to the left side of the menu it will be more noticeable and will drive more visitors to the videos page,

IGN

Result: -92.3% in clicks

A

B

Who? After segmenting the results, it was clear that the change affected mostly returning visitors

* https://blog.optimizely.com/2014/10/30/the-problem-with-ab-testing-success-stories/

Hypothesis: Because the current layout was not clean and clear enough, if we give the user an obvious next step and remove distractions, cart check-out rates will increase

Rubylane

Result: Inconclusive

A

B What happened?

Insight #4

If results are very unexpected, take some time to validate your test design

Hypothesis: Because the current layout was not clean and clear enough, if we give the user an obvious next step and remove distractions, cart check-out rates will increase

Rubylane - round 2!

Result: +5% cart check-out

A

B

Recap● Strong hypotheses enable learning from failures -

Start with a meaningful problem definition

● Small or inconclusive impact might mean that you are not testing something your users care about

● Use smoke testing to measure demand for complex functionality before it is built

● A significant drop in an important metric might mean you found something your users care about or sensitive to

● If results are very unexpected, take some time to validate your test design

Thanks for listening…..

Lev TatarovStrategy Consultant

@LTatarov

Questions?