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Kinran@HAStark
Kinran@HAStark
What’s going on?
and why
Kinran@HAStarkMarket forces
Tech enablers
Frontier zones
Failure prevention
Kinran@HAStark
Kawanabe Kyosai
Kinran@HAStark
Market forces
Kinran@HAStark
Kinran@HAStark...[according to VB research] most mobile-
first companies are trying to pay between $1 and $1.50 for users, but they are only getting quality users at multiples of those numbers...
August 12 2015 http://venturebeat.com/2015/08/12/this-service-tells-you-what-supercell-machine-zone-and-other-big-publishers-spend-on-user-acquisition/
Kinran@HAStark
...[according to AppScotch] Machine Zone is currently spending somewhere around $12 per user with AdColony, InMobi, and Unity Ads, up to $20 per user with Vungle, and between $2 and $30 per user with Chartboost...
August 12 2015 http://venturebeat.com/2015/08/12/this-service-tells-you-what-supercell-machine-zone-and-other-big-publishers-spend-on-user-acquisition/
Kinran@HAStark
LTV modelling
attributionprediction
Kinran@HAStark
Engagement insight
play patternspend pattern
Kinran@HAStark
Kinran@HAStark
Tech enablers
Kinran@HAStark
Kinran@HAStarkKevin Schmidt and Luis Vicente, Mind Candy
Practical real-time approximations using Spark Streaming
hyperloglogs to count uniquesbloom filters to count revenuestream-summary for top-k
(metwally agrawal abbadi 2005)
from nucl.ai Data Science track (to be published)earlier version from huguk available nowhttp://www.slideshare.net/huguk/fast-perfect-practical-realtime-approximations-using-spark-streaming
Kinran@HAStark
Image: re-work.co Deep Learning Summit Boston
Kinran@HAStark
http://ufldl.stanford.edu/wiki/index.php/Visualizing_a_Trained_Autoencoder
Kinran@HAStark
https://www.flickr.com/photos/darronb/6502473781
Kinran@HAStark
Frontier zones
Kinran@HAStark
Kinran@HAStarkMiloš Milošević, Nordeus
Early Churn Prediction and Personalised Interventions In Top 11later detection is more accurate - but less usefultried many techniques – logistic regression good!cluster users based on first day gameplaycustomise messaging based on clustersincreased D1 retention (and downstream metrics)
from nucl.ai 2015 Data Science track (to be published)writeup available on gamasutra now:http://www.gamasutra.com/blogs/MilosMilosevic/20150811/250913/
How_data_scientists_slashed_early_churn_in_Top_Eleven.php
Kinran@HAStark
http://mba-suits.com/first-set-pink-white-grey-suit/http://www.ahipster.com/hipster-fashion-knitted-jumpers/hipster-clothes-wooly/
Kinran@HAStark
Failure prevention
Kinran@HAStarkMeta S. Brown
Analytics failure and how to avoid it
Analytics programs fail....... because they lack a viable plan for success
Imperial College Data Science Institute 24 June 2015http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
Kinran@HAStarkMeta S. Brown
Analytics failure and how to avoid it
Analytics programs fail....... because they lack a viable plan for success
Define success, and who decides on it
Imperial College Data Science Institute 24 June 2015http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
Kinran@HAStarkMeta S. Brown
Analytics failure and how to avoid it
Start with a business problema small oneunderstand the business problem really well
As you scale up – pay attention to process replicable! replicable! replicable!
Imperial College Data Science Institute 24 June 2015http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
Kinran@HAStarkMeta S. Brown
Analytics failure and how to avoid it
Use only as much data as you need to
The best use case for Big is personalisation
Imperial College Data Science Institute 24 June 2015http://www.slideshare.net/metabrown/analytics-failure-how-to-avoid-it
Kinran@HAStark
What next?
JOIN IN THE CONVERSATION PARTICIPATE IN THE NEXT GIAF
Analytics for Games www.deltadna.com/giaf
events@deltadna.com
#UKGIAF
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