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achieve the weave
by Kenny Flynn
local networking app
WEAVE
http://youtu.be/b3APgZK5hDc
achieve the weave.us
forecasting “user churn”
0.88
AUC
feature predicts user churn
> 21 days since
last user interaction
> 21 days since
last user interaction
feature predicts user churn
deactivated notifications
low response rates
number of interactions
> 21 days since
last user interaction
feature predicts user retention
deactivated notifications
low response rates
number of interactions
fewer (and better?)
conversations
predict user retention
quality over quantity
achieve the weave
by Kenny Flynn
by Kenny Flynn
prediction is hard
but extremely valuable
science blogger
experimental microbial
evolution
Questions?
BONUS SLIDES
low matches > convos
fewer than 2 convos
fewer than 5 convos
often initiates convos (>66%)
rarely initiates convos (<33%)
more than 21 days since last convo
more than 21 days since last match
more than 7 days since last match
fewer than 2 matches
fewer than 5 matches
rarely initiates matches (<33%)
only swipes left (declines user engagement)
deactivates push notifications
high response rate
low response rate
uses Weave infrequently
swipes left often
engineeredfeatures
optimization of window size
app development - temporal bias?
source: appannie.com
location
hard to network with limited users around?
the Churn rate appears to be highly location specific
0" 100" 200" 300" 400" 500" 600"
Charlottesville, Virginia Area
China
Dallas/Fort Worth Area
Greater Chicago Area
Greater Minneapolis-St. Paul Area
Greater Philadelphia Area
Greece
Hawaiian Islands
Hong Kong
Johannesburg Area, South Africa
Kansas City, Missouri Area
Lincoln, Nebraska Area
Santa Barbara, California Area
Shanghai City, China
South Africa
Southampton, United Kingdom
United States
active!
churned!
counts
Proactive
marketing
example
Achieve the weave
Achieve the weave

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Achieve the weave

  • 1. achieve the weave by Kenny Flynn
  • 4.
  • 5.
  • 6.
  • 7.
  • 9. feature predicts user churn > 21 days since last user interaction
  • 10. > 21 days since last user interaction feature predicts user churn deactivated notifications low response rates number of interactions
  • 11. > 21 days since last user interaction feature predicts user retention deactivated notifications low response rates number of interactions fewer (and better?) conversations predict user retention quality over quantity
  • 12. achieve the weave by Kenny Flynn
  • 13. by Kenny Flynn prediction is hard but extremely valuable science blogger experimental microbial evolution
  • 16.
  • 17. low matches > convos fewer than 2 convos fewer than 5 convos often initiates convos (>66%) rarely initiates convos (<33%) more than 21 days since last convo more than 21 days since last match more than 7 days since last match fewer than 2 matches fewer than 5 matches rarely initiates matches (<33%) only swipes left (declines user engagement) deactivates push notifications high response rate low response rate uses Weave infrequently swipes left often engineeredfeatures
  • 18.
  • 20. app development - temporal bias? source: appannie.com
  • 21. location hard to network with limited users around? the Churn rate appears to be highly location specific 0" 100" 200" 300" 400" 500" 600" Charlottesville, Virginia Area China Dallas/Fort Worth Area Greater Chicago Area Greater Minneapolis-St. Paul Area Greater Philadelphia Area Greece Hawaiian Islands Hong Kong Johannesburg Area, South Africa Kansas City, Missouri Area Lincoln, Nebraska Area Santa Barbara, California Area Shanghai City, China South Africa Southampton, United Kingdom United States active! churned! counts