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ASOBarcamp 2 - Ratings and Reviews - ASO Impact and Leverage of Review Optimisation - Thomas Petit, 8fit.com

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Why do reviews matter in the app stores?
How do the app stores use reviews to impact ASO (App Store Optimisation)
How can you improve the quality of your ratings in the App Stores?
Thomas Petit from Berlin-based 8fit.com gives an in-depth, executable and awesome presentation on review optimisation.

Published in: Mobile
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ASOBarcamp 2 - Ratings and Reviews - ASO Impact and Leverage of Review Optimisation - Thomas Petit, 8fit.com

  1. 1. DOMAIN AUTHORITY + LINKING DOMAINS SNAPSHOT Metric* Vashi (www.vashi.com) 77 Diamonds (www.77diamonds.com) Stevenstone (www.stevenstone.co.uk) Rare Pink (www.rarepink.com) Domain Authority 42 45 32 35 Referring Domains 520 744 204 143 Considering selected direct competitors, Vashi takes second place, both from the Domain Authority as well as Referring Domains perspective. 77 Diamonds have highest metrics, although there is only a 3 point difference in DA value between them and Vashi. * Both metrics were last updated in August 2015 How to make friends and influence people Ratings & Reviews: ASO impact & leverage Thomas Petit, 8fit
  2. 2. 1 1 Ratings & Reviews ASO impact & leverage @Thomasbcn
  3. 3. 2 2 @Thomasbcn
  4. 4. 3 3 1. Why 2. How “The secret is in the stars”
  5. 5. 4 4 Huge impact on the 2 factors of ASO User perception (CRO) Ranking algorithm (SEO)
  6. 6. 5 5 User perception https://blog.branch.io/click-to-install-conversion-rates http://info.apptentive.com/app-store-ratings-and-reviews https://sensortower.com/blog/ios-conversion-rates-a-closer-look-at-the-days/ http://www.tune.com/blog/mobile-report-the-app-store-factors-your-users-really-care-about/ Conversion 80% of users viewing a listing don’t install 59% check reviews before downloads 37% check reviews before IAP 33% check reviews before updating Little/no influence for only 8%
  7. 7. 6 6 iOS snippet
  8. 8. 7 7 Android snippet
  9. 9. 8 8 New Android snippet? http://www.androidpolice.com/2015/09/19/some-google-play-store-users-are-seeing-a-new-more-compact-layout-for-app-review-scores/
  10. 10. 9 9
  11. 11. 10 10 Ranking algorithm “Rating volume is perhaps the best indicator of ranks, with a 29–40% correlation”, Alex Walz, Moz/Apptentive “Ratings are more heavily weighted in Google Play's algorithm” “The higher an app is rated, the less its rank it likely to move in a 24-hour period” “The effect of reviews is more important than global downloads to improve keyword ranking” @francescgo https://moz.com/blog/app-store-rankings-formula-deconstructed-in-5-mad-science-experiments
  12. 12. 11 11 Ranking algorithm: officially since 2013 “Reviews and ratings are a very strong signal for us” Ankit Jain, Google Play
  13. 13. 12 12 Bad rating? 2 Apps among top100 Can you guess which? https://play.google.com/store/apps/details?id=com.apple.movetoios
  14. 14. 13 13 http://info.apptentive.com/app-store-ratings-and-reviews Ratings Impact
  15. 15. 14 14 Ratings & Reviews figures App market: winner takes all 1% devs, 53% of reviews 0,1% 23% (2013 from 70m reviews) http://blog.appfigures.com/data-bits-less-than-one-percent-of-ios-app-developers-have-half-of-all-reviews/
  16. 16. 15 15 Ratings average https://sensortower.com/blog/positivity-abounds-global-trends-in-app-rating-sentiment/
  17. 17. 16 16 Ratings & Reviews: % of users 0,5%
  18. 18. 17 17 Apple/Google Featuring http://blog.appbot.co/featured-apps-the-influence-of-star-rating-price-age-category//
  19. 19. 18 18 Users are radical 52% post only positive 5% post only negative http://techcrunch.com/2012/10/05/apple-app-store-reviews-reviewers-bias-positive/ Problems with App Store reviews
  20. 20. 19 19 http://info.apptentive.com/app-store-ratings-and-reviews http://www.smartappmarketer.com/developers-struggle-get-app-ratings-reviews-apple-app-store/ / Review process is painful
  21. 21. 20 20 1. Why 2. How Leverage reviews
  22. 22. 21 21 1. Beg? http://www.loopinsight.com/2014/02/04/begging-for-app-ratings/
  23. 23. 22 22 2. Don’t intrude http://www.marco.org/2014/12/05/how-overcast-asks-for-reviews
  24. 24. 23 23 3. Integrate to limit intrusion
  25. 25. 24 24 4. Filter
  26. 26. 25 25 4. Filter
  27. 27. 26 26 Review filter: the Circa loop https://medium.com/circa/the-right-way-to-ask-users-to-review-your-app-9a32fd604fca
  28. 28. 27 27 Filter outcome
  29. 29. 28 28 Review filter: Musi https://medium.com/circa/the-right-way-to-ask-users-to-review-your-app-9a32fd604fca
  30. 30. 29 29 4. Answer / contact https://medium.com/@bayramannakov/app-reviews-3-clever-ways-to-convert-negative-reviews-to-positive-5066c4dfb16b Google Play answers iOS: Convert negative reviews to positive
  31. 31. 30 30 http://appbot.co
  32. 32. 31 31 http://appbot.co https://launchkit.io/reviews/ https://tapstream.com/review-bar/ http://www.apptamin.com/blog/review-mining/ https://sensortower.com/blog/how-to-improve-the-user-experience-of-your-mobile-app-with-review-mining
  33. 33. 32 32 The 8fit way Find out  go.8fit.com/twpin
  34. 34. 33 33 https://www.linkedin.com/pulse/aso-trick-one-talking-dennis-mink Reviewers Lookalikes Reviews hack-quisition
  35. 35. 34 34 Black hat ASO? https://www.simform.com/blog/top-ways-to-request-app-rating-and-review
  36. 36. 35 35 “Hard-working App Store ranking manipulation employee.” http://weibo.com/1652811601/C2Ac4hGw4?type=comment Black hat ASO?
  37. 37. 36 36 http://weibo.com/1652811601/C2Ac4hGw4?type=comment Black hat ASO?
  38. 38. 37 37 http://zachwill.com/flappy-bird/ https://twitter.com/Thomasbcn/status/430336588426772480 http://www.bluecloudsolutions.com/blog/flappy-birds-smoke-mirrors-scamming-app-store Black hat ASO? Flappy birds: 700k US reviews in 30 days Candy Crush: 400k US reviews in 18 months 45k CA reviews, top Apps with 5K
  39. 39. 38 38 https://sensortower.com/blog/meet-the-fakers-profiles-of-suspected-fake-apple-app-store-user-accounts Meet the fake reviewers
  40. 40. 39 39 … Neglect … Interrupt … Ask on first launch … Ask for 5 stars … Incentivize … Buy @thomasbcn … Ask, at the right time, to the right users … Filter … Monitor … Answer … Mine … Listen
  41. 41. 40 40 @Thomasbcn

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