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The Finishing Line- when is a 
Multivariate Test finished? 
By Joe Doveton 
Oban Digital
When Is A Test Finished? 
• One of the most commonly asked questions is “when 
is an MVT experiment or AB test finished?” 
• Is it at 30 days...? 100 conversions...? 10,000 
visitors...? 
• The short answer is... it depends
Known and Unknown Variables 
A test is made up of known and unknown 
variables...
Things you know: 
– Likely visitors to 
test page(s) 
– Likely conversion 
rate for the 
original (control) 
–Numbers of design 
variations in the 
test 
Things you don’t: 
– The improvement 
(or deterioration) 
in the conversion 
rate generated by 
the challenger 
designs
Understanding Test Data 
Conversion rate for the original is 51.68% 
The leading challenger is Combination 7 
with an 80% probability of beating 
the original 
This is a 2.40% uplift 
in Conversion Rate vs 
the original
Margin of error 
is important because it effectively 
tells you if you have a big enough 
sample. In an ideal world one 
would wait until the margin of error 
was 0%
Margin of error 
• In this test there is 0.7% margin of error in 
the sample 
• This means that the original is converting at 
51.68% plus or minus 0.7% 
• The best case scenario for the original is 
therefore to add 0.7% to the conversion rate 
making 52.38% 
• The worst case scenario for the test leader is 
to subtract 0.7% from that conversion rate, 
making a CR of 52.22% 
• This means the test is not quite statistically 
valid-we could run the test a little longer to 
get a big enough sample 
• Despite this, there is enough evidence to 
apply Combination 7 as a test winner- 80% 
confidence and 2.40% uplift over the original 
plus £10k in increased revenue
In some tests it is not practical to 
wait until you have 0% margin of 
error, especially on low traffic 
pages.
Sometimes you just have to make a 
call. Here are some tips to help you 
decide when your test is finished.
Fit test type to visitor profile 
• With low traffic pages 
make small changes and 
test via AB testing. You 
will get a quicker result 
and you can iterate 
• With higher traffic pages 
you can use MVT. MVT 
has the advantage of 
allowing you to test many 
variations at once but still 
isolate the impact of 
individual on-page 
elements
Brainstorm 
• A test is only as good as the 
ideas that go into it 
• Manually go through funnels 
• Use analytics 
• Analyse competitors 
• Group and ungroup elements 
• Prioritise tests- do the low 
hanging fruit first 
• Set yourself cut off points
Test goals 
Match your test goals as closely as 
possible with your regular goals set up 
in analytics 
Test goals should be consistent with the 
elements that you want to change- for 
example if you want to change CTR 
changing the footer navigation isn’t 
likely to contribute much to this
Keep Things Manageable 
• If using MVT keep your test down 
to a manageable number of 
combinations 
• Test only a few elements 
together concurrently 
• Each time you add in a new 
element, you double the length 
of time it takes to get a 
statistically valid result (same 
with segments) 
• No-one wants to read a test with 
128 possible test combinations 
(sorry Mr. Taguchi)
Check The “Elements” View 
• With MVT, one can check both 
the interaction between 
elements (the ‘combination’) 
and the individual elements in 
isolation 
• Often, the elements view will 
give you a different view of the 
data 
• In a test with no clear winners, 
there may be evidence of 
specific elements driving 
conversions that allows you to 
plan a follow-on experiment
Confidence Level 
• 100% confidence results in 
test are rare. Very rare- even 
in AB tests. 
• Set yourself an acceptable 
confidence level and go with it 
• Anything over 70% is pretty 
good- 80% and above is 
exceptional 
• PS this also works in reverse 
with losing tests 
• Be prepared to call winners 
and losers 
• Accept that inconclusive 
results are part of the game
Be Prepared To Iterate 
• So your first test result was 
inconclusive. Great! Why 
great? It gives you an 
opportunity to re-evaluate the 
design 
• You start to gain insight into 
what elements and what 
changes affect user behaviour 
• Inconclusive test results give 
you the chance to try 
something else 
• Each test is a stepping stone-iterate, 
test and move on
Lifetime Value of Test Result 
• A small uplift over 
a two week test 
period might leave 
you feeling 
underwhelmed 
• However, what is 
that uplift worth 
when extrapolated 
over a whole year? 
• Even a modest test 
result could transform 
your business
There’s No Such Thing As Bad Data 
• Everybody loses tests 
• It’s part of the game 
• Losing tests stop you 
from going off with 
design changes in the 
wrong direction 
• Losing tests help to 
point you back in the 
right direction
Follow The Money 
• ... and finally... follow the 
money 
• Many platforms allow you to 
track revenue as well as 
conversions- if not, integrate 
with Google Analytics 
• Even if you increase 
conversions it may not 
increase revenue- your design 
could make it easier for 
customers to buy your lower 
priced items 
• Track the test impact on your 
bottom line either through 
your test tool or your analytics
Contact Oban Digital 
Phone: +44 1273 936095 
Email: sales@obandigital.com 
Website: www.obandigital.com 
Twitter: twitter.com/ObanDigital

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The Finishing Line

  • 1. The Finishing Line- when is a Multivariate Test finished? By Joe Doveton Oban Digital
  • 2. When Is A Test Finished? • One of the most commonly asked questions is “when is an MVT experiment or AB test finished?” • Is it at 30 days...? 100 conversions...? 10,000 visitors...? • The short answer is... it depends
  • 3. Known and Unknown Variables A test is made up of known and unknown variables...
  • 4. Things you know: – Likely visitors to test page(s) – Likely conversion rate for the original (control) –Numbers of design variations in the test Things you don’t: – The improvement (or deterioration) in the conversion rate generated by the challenger designs
  • 5. Understanding Test Data Conversion rate for the original is 51.68% The leading challenger is Combination 7 with an 80% probability of beating the original This is a 2.40% uplift in Conversion Rate vs the original
  • 6. Margin of error is important because it effectively tells you if you have a big enough sample. In an ideal world one would wait until the margin of error was 0%
  • 7. Margin of error • In this test there is 0.7% margin of error in the sample • This means that the original is converting at 51.68% plus or minus 0.7% • The best case scenario for the original is therefore to add 0.7% to the conversion rate making 52.38% • The worst case scenario for the test leader is to subtract 0.7% from that conversion rate, making a CR of 52.22% • This means the test is not quite statistically valid-we could run the test a little longer to get a big enough sample • Despite this, there is enough evidence to apply Combination 7 as a test winner- 80% confidence and 2.40% uplift over the original plus £10k in increased revenue
  • 8. In some tests it is not practical to wait until you have 0% margin of error, especially on low traffic pages.
  • 9. Sometimes you just have to make a call. Here are some tips to help you decide when your test is finished.
  • 10. Fit test type to visitor profile • With low traffic pages make small changes and test via AB testing. You will get a quicker result and you can iterate • With higher traffic pages you can use MVT. MVT has the advantage of allowing you to test many variations at once but still isolate the impact of individual on-page elements
  • 11. Brainstorm • A test is only as good as the ideas that go into it • Manually go through funnels • Use analytics • Analyse competitors • Group and ungroup elements • Prioritise tests- do the low hanging fruit first • Set yourself cut off points
  • 12. Test goals Match your test goals as closely as possible with your regular goals set up in analytics Test goals should be consistent with the elements that you want to change- for example if you want to change CTR changing the footer navigation isn’t likely to contribute much to this
  • 13. Keep Things Manageable • If using MVT keep your test down to a manageable number of combinations • Test only a few elements together concurrently • Each time you add in a new element, you double the length of time it takes to get a statistically valid result (same with segments) • No-one wants to read a test with 128 possible test combinations (sorry Mr. Taguchi)
  • 14. Check The “Elements” View • With MVT, one can check both the interaction between elements (the ‘combination’) and the individual elements in isolation • Often, the elements view will give you a different view of the data • In a test with no clear winners, there may be evidence of specific elements driving conversions that allows you to plan a follow-on experiment
  • 15. Confidence Level • 100% confidence results in test are rare. Very rare- even in AB tests. • Set yourself an acceptable confidence level and go with it • Anything over 70% is pretty good- 80% and above is exceptional • PS this also works in reverse with losing tests • Be prepared to call winners and losers • Accept that inconclusive results are part of the game
  • 16. Be Prepared To Iterate • So your first test result was inconclusive. Great! Why great? It gives you an opportunity to re-evaluate the design • You start to gain insight into what elements and what changes affect user behaviour • Inconclusive test results give you the chance to try something else • Each test is a stepping stone-iterate, test and move on
  • 17. Lifetime Value of Test Result • A small uplift over a two week test period might leave you feeling underwhelmed • However, what is that uplift worth when extrapolated over a whole year? • Even a modest test result could transform your business
  • 18. There’s No Such Thing As Bad Data • Everybody loses tests • It’s part of the game • Losing tests stop you from going off with design changes in the wrong direction • Losing tests help to point you back in the right direction
  • 19. Follow The Money • ... and finally... follow the money • Many platforms allow you to track revenue as well as conversions- if not, integrate with Google Analytics • Even if you increase conversions it may not increase revenue- your design could make it easier for customers to buy your lower priced items • Track the test impact on your bottom line either through your test tool or your analytics
  • 20. Contact Oban Digital Phone: +44 1273 936095 Email: sales@obandigital.com Website: www.obandigital.com Twitter: twitter.com/ObanDigital