How to optimize your App Retention with Data-based Analytics - Oren Kaniel, AppsFlyer
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Transcript of How to optimize your App Retention with Data-based Analytics - Oren Kaniel, AppsFlyer
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What is it?
How to enable it?
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Retention Type
vs. Marketing-Driven
Retention
Product-Driven
Retention
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1. True ROI & LTV analysis
2. UA optimization
3. Deep down funnel CPA
4. Cohort analysis
5. Cohort/Segment
(Re)targeting
Rich Events Reporting - WHY?
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Multiple links for
each campaign
and OS/platform
Broken user
experiences
No conversion
data
Before
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Single smart
tracking link for
all sources
Non-disruptive user
experiences
Real time
attribution data
After
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The Opportunity
37%of the net time we spend
with screens a day are
spent consuming a digital
screen while watching TV.
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Inability to measure
impact of TV campaigns
on app installs
Before – Unclaimed Value
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Measure impact your TV ads have on app installs
(including LTV, retention and cohort reports)
Compare to all other channels in a single dashboard
After
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Before
App ($50) Web ($100) Store ($200)
But the brand only thinks
my LTV is $50
I made 3 separate purchases after
seeing an ad for a brand
I love and installing their app
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After
App ($50) Web ($100) Store ($200)
With connected data, brands get omni-
channel LTV, so companies can see all the
revenue generated by a specific network
Now the brand knows the true total
revenue generated - $350!
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Multi-Touch Attribution
User Acquisition
Retargeting
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Video Networks’ Retention Domination
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Video Networks’ Retention Domination
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Head to Head
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OS Retention Level Gap – iOS Dominates
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Power Ranking - Gaming
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Power Ranking - Gaming
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0%
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Feb-12 Aug-12 Feb-13 Aug-13 Feb-14 Aug-142014 20152012 2013
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