Upgrade to Pro — share decks privately, control downloads, hide ads and more …

SEOloger #52: Michal Suski, SEO SURFER: DATA-DRIVEN ON-PAGE OPTIMIZATION

SEOloger #52: Michal Suski, SEO SURFER: DATA-DRIVEN ON-PAGE OPTIMIZATION

Další SEOloger vám představil skvělý SEO nástroj SEO surfer > https://get.surferseo.com/wg9wsdwd815s a představil nám ho jeden za zakladatelů Surferu Michal Suski včetně odpovědí na vaše dotazy
✄- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Michal isDigital marketer with love for SEO. Michał co-founded Surfer and has been evangelizing the product and data-driven approach to optimization.

Pavel Ungr, SEOloger

December 21, 2020
Tweet

More Decks by Pavel Ungr, SEOloger

Other Decks in Business

Transcript

  1. Data Driven Optimization
    That scales!
    MICHAŁ SUSKI

    View Slide

  2. Michał Suski
    Co-Founder of Surfer
    [email protected]
    Master of science at Forestry
    Quality Assurance since 2014
    SEO since 2016
    Surfer 2017

    View Slide

  3. Agenda
    ● Taking Keyword Research to the next level
    ● Writing copy that adds relevance with Content Planner
    ● Creation at scale with data driven guidelines
    ● Audits on regular cadence

    View Slide

  4. Keyword Research
    Process of finding attractive keywords for the website to target.

    View Slide

  5. Keywords
    ● DFS has 600M keywords for the US market
    ● Pages rank for dozens keywords
    ● All we need is to understand which we can rank together

    View Slide

  6. Clusters
    ● discrete items that are close to each other
    ● individuals collected in one place; a crowd
    ● galaxies or stars that appear near each other

    View Slide

  7. View Slide

  8. Why do we need them?
    ● To feed the algorithm
    ● To build proper structure
    ● To satisfy the user intent

    View Slide

  9. User intent
    X Topic clusters
    ● People want what they need
    ● Good cluster address essential information

    View Slide

  10. Cluster level
    ● Domain
    ● URL

    View Slide

  11. What can go wrong?

    View Slide

  12. Off the topical cluster -
    irrelevant pages
    ● SEO agency writes about TV ads
    ● Rankings drop on SEO related keywords

    View Slide

  13. Off the topical cluster -
    irrelevant keywords
    ● Article is too wide
    ● Diluted expertise and negative behavioral signals
    ● Hard times with ranking and maintaining positions

    View Slide

  14. Off the topical cluster -
    lacking information
    ● Article is too narrow
    ● Missing answers
    ● Requires a strong push from backlinks to rank

    View Slide

  15. I won’t show you how to
    generate 1000’s keywords...
    … clustering starts when you
    already have them.

    View Slide

  16. ● Manual
    ● Semantic
    ● Keyword level - SERP Similarity
    ● Page level - URLs’ visibility
    Clustering in 4 ways

    View Slide

  17. Manual clustering:
    process
    ● Open your researched list of keywords
    ● Assign each keyword to a bucket based on your expertise
    ● Simple but powerful if you know the niche

    View Slide

  18. Semantic clustering:
    process
    ● Various methods on comparing two words
    ● Set your rules and let the algorithm work
    ● Check the results and adjust it
    ● Keywords are grouped based on semantic
    commonness

    View Slide

  19. Similar SERPs:
    process
    ● Check search results for researched keywords
    ● Compare results
    ● Group keywords which have overlapping results

    View Slide

  20. View Slide

  21. View Slide

  22. Don’t get me wrong,
    I like these...
    … but let’s add a bit of
    science!

    View Slide

  23. Clustering Algorithms, what
    do they do exactly?

    View Slide

  24. View Slide

  25. View Slide

  26. View Slide

  27. Clustering algorithms:
    the method
    ● Compares sets of ranked keywords
    ● Finds look alike pages
    ● Creates clusters based on keywords groups similarity

    View Slide

  28. Output
    ● List of keywords that are commonly ranked
    by competitors
    ● Grouped into clusters using Python or R
    ● Based on the Google Algorithm

    View Slide

  29. View Slide

  30. How to plan content
    at scale?

    View Slide

  31. Content Planner
    showdown!

    View Slide

  32. ● Find the topic
    ● Analyze competitors
    ● Create guidelines
    ● Review the text
    ● Optimize it further before it lands on the page
    Content Creation Process

    View Slide

  33. ● Find the topic - manual process
    ● Analyze competitors - manual process
    ● Create guidelines - manual process
    ● Review the text - manual process
    ● Optimize it further before it lands on the page - manual process
    Not detailed or not quick
    enough :(

    View Slide

  34. ● Find the topic - manual process
    ● Analyze competitors - manual process
    ● Create guidelines - manual process
    ● Review the text - manual process
    ● Optimize it further before it lands on the page - manual process
    With Planner and Editor we
    can cross all of these!

    View Slide

  35. ● Find the topic in Content Planner
    ● Analyze competitors automatically
    ● Create guidelines - done for you
    ● Review the text in a single glance
    ● Optimize it further before it lands on the page nothing to do here!
    Connecting the dots...

    View Slide

  36. The Process of
    content creation
    at scale!

    View Slide

  37. WHY YOU
    SHOW ME
    THE TOOL?

    View Slide

  38. ● Keywords: organic gardening niche
    ● Market: US
    ● Action: Optimized Content Creation within topical cluster
    Building topical relevance

    View Slide

  39. The Job
    ● 30 articles written and optimized based on data
    ● No backlinks acquisition
    ● 0.1 DA domain

    View Slide

  40. View Slide

  41. ● Constant traffic growth
    ● Building expertise and relevancy
    The Impact

    View Slide

  42. View Slide

  43. View Slide

  44. View Slide

  45. View Slide

  46. ● You can rank without backlinks for niche keywords
    ● Content creation that covers topical cluster makes snowball
    effect
    ● Low budget does not mean you can’t make it
    The Test Results

    View Slide

  47. Progressive
    Content
    Optimization

    View Slide

  48. ● SERPs volatility
    ● Algorithm changes
    ● Competitors’ actions
    Audits on regular cadence

    View Slide

  49. ● List your landing pages
    ● Prioritize them
    ● Divide into buckets
    ● Allocate your time for the project
    ● Assign hours of your time to each URL
    Start with an outline

    View Slide

  50. ● Getting aligned with current demand
    ● Finding new topics and expanding ranked keywords
    ● Ranking higher
    Impact of the content audit

    View Slide

  51. ● Keyword: пинтерест (Pinterest)
    ● Market: Russia
    ● Action: Single article optimization
    Existing content optimization

    View Slide

  52. The Job

    View Slide

  53. ● 90% keywords improved
    ● 150 of new keywords
    ● Ranked longtails without using them in the content
    The Impact

    View Slide

  54. View Slide

  55. View Slide

  56. BONUS - 2 more pages

    View Slide

  57. View Slide

  58. View Slide

  59. View Slide

  60. View Slide

  61. ● Google creates clusters by themselves
    ● Google ranks better content that match the whole cluster
    ● Benchmarking competitors multiply their efforts
    ● Single keyword/variations optimization is less effective
    The Test Results

    View Slide

  62. ● Go through your list or Google Search Console
    ● Plug main focus keyword into SERP ANALYZER
    ● Review competitors and generate report
    Preparing the content audit

    View Slide

  63. ● TRUE DENSITY report
    ● Length and structure
    ● Page’s performance
    Performing the content audit

    View Slide

  64. Live Content Audit

    View Slide

  65. ● Find your topical cluster
    ● Build topical relevancy to create snowball effect
    ● Optimize for the topical coverage than single keywords
    ● Audit pages on regular cadence
    Wrap Up

    View Slide

  66. Data Driven
    Optimization
    that scales!
    MICHAŁ SUSKI, SURFER
    THANK
    YOU

    View Slide