SEO has always sat at the intersection between being a science and an art. We all love to try out new ideas and try to understand what makes the search engines tick, but it can be frustrating to have to cut through the guesswork and speculation just to figure out what Google really wants from us. Even worse, we still find ourselves making SEO changes, seeing uplifts, but then not knowing which changes actually had any impact.
Fortunately, new software and better technologies now make it possible to run proper SEO-focused tests and, for the first time, actually measure the impact that each SEO change has on our site. Rob will share these techniques, discuss some of the experiments that Distilled has been running, reveal the unexpected things they’ve learned along the way, and share how you can start running experiments yourself.
33. Google Information Needs Study (NBED LINK)
http://adage.com/article/media/future-tv/303508/
SEARCH: future of tv advertising
34. Google Information Needs Study (NBED LINK)
http://contentmarketinginstitute.com/2016/04/television-advertising-native/
SEARCH: future of tv advertising
35. DA PA LRDs Rank
http://dis.tl/rankq-1a
91 47 2 ?
http://dis.tl/rankq-1b
86 57 9 ?
SEARCH: future of tv advertising
36. DA PA LRDs Rank
http://dis.tl/rankq-1a
91 47 2 3
http://dis.tl/rankq-1b
86 57 9 8
SEARCH: future of tv advertising
48. % OF SERP PAIRS PREDICTED CORRECTLY
30%
40%
50%
60%
70%
Laypeople <= 3 yrs SEO
49. % OF SERP PAIRS PREDICTED CORRECTLY
30%
40%
50%
60%
70%
Laypeople <= 3 yrs SEO > 3 yrs SEO
50. % OF SERP PAIRS PREDICTED CORRECTLY
30%
40%
50%
60%
70%
Laypeople <= 3 yrs SEO > 3 yrs SEO Coin flip
51. % OF SERP PAIRS PREDICTED CORRECTLY
30%
40%
50%
60%
70%
Laypeople <= 3 yrs SEO > 3 yrs SEO Coin flip DeepRank
52. TESTING - STOP GUESSING WHAT WORKED
Testing the same type of change on different sites can have differing effects.
53. THE CASE FOR TESTING
1) Predicting effect in algo is really hard (no best practice)
54. THE CASE FOR TESTING
1) Predicting effect in algo is really hard (no best practice)
2) Some sites respond differently to others for same change
55. THE CASE FOR TESTING
1) Predicting effect in algo is really hard (no best practice)
2) Some sites respond differently to others for same change
3) Machine Learning impact on algo will make this worse
56. THE CASE FOR TESTING
1) Predicting effect in algo is really hard (no best practice)
2) Some sites respond differently to others for same change
3) Machine Learning impact on algo will make this worse
4) Optimise further than previously possible
77. HYPOTHESIS: Javascript impacts Google’s crawling / indexation
MAY 2014
“our indexing system has been rendering a substantial number of web pages more like an average
user’s browser with JavaScript turned on.
OCT 2015
“We are generally able to render and understand your web pages like modern browsers.”
81. Title tag before: Which TV should I buy? - Argos
Title tag after: Which TV to buy? - Argos
HYPOTHESIS: Title tags should match greatest search volume term
88. 3 STEPS TO DIY SEO SPLIT-TESTS
1. Create two buckets of pages.
2. Make a change to all pages in one bucket.
3. Analyse which bucket performs better.
89. 1. CREATE TWO BUCKETS OF PAGES.
A good DIY approach is using GA segments. Easy to make (see link).
Suggestion: Create Segments by category (e.g. blog tag, product category).
90. At least 1,000 organic sessions
per day to each bucket
!
91. 2. MAKE A CHANGE TO ALL PAGES IN ONE BUCKET.
Control Variant
This will be your variant bucket.
Utilise your CMS where possible. Ask Dev for scalable approach.
92. 3. ANALYZE WHICH BUCKET PERFORMS BETTER.
distilled.net/diy-splittester
101. This is the next evolution
in your SEO approach.
Start now.
!
102. DISTILLED.NET
SEE ALL OUR FREE VIDEOS
AND BLOG POSTS:
@RobOusbey
@WillCritchlow
@ TomAnthonySEODISTILLEDODN.COM
CHECK OUT OUR SEO
A/B TESTING PLATFORM: