11. 11
11
App analytics
Choose your provider carefully.
Migrations can be painful
Track and store everything from D1.
Focus analysis first on key events
and subsegments
Methodological event naming
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13
HOW - Attribution for marketers
A very tech topic: don’t reinvent the wheel & externalize it
Crucial marketing consequences: master what you track
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14
What to track? “3D” model
1. By Source (x)
Network > Campaign > Adset > Creative
= Channel
OS
Country
Gender, Age, behavior…
"Separating users by channel is critical"
@phineasb, Growth is not a Hack
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15
2. By Event (y)
Acquisition Funnel: AARRR!
- Click > Download > Install > First open
- Retention D7 > Retention D90
- App events, Transaction/IAP…
What to track?
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16
Installs # is a vanity metric
"CPI is irrelevant“, @dennismink
"CPI is the least insightful measure of UA“, @localytics
"CPI is not the metric to watch“, @eric_seufert
1 of top10 downloaded iOS Apps all time is top grossing
Acquisition metrics that really matter
CPI
% of users
publishing
an ad
CPA
0,30€ 10% 3€
0,80€ 40% 2€
“We weren’t investing the money correctly ..
thinking that the best ads were the ones with a low CPI
supposing users would have the same behavior”, @fesja
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What to track?
3. By time (z)
Cohort analysis
d0 – m0 – LTV value
“Beware of short term gains that end up being long
term losses”, Arthur Kosten booking.com
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Attribution issues : discrepancies
« Measuring what matters in a mobile world »
FB internal document
Discrepancies sources:
- PC window
- PV window
- Device or user centric
- Timestamp method
- Deduplication
- LAT?
- Tracker or MMP-API bugs
- Downloads vs Installs vs First opens
- ?
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Attribution shakedowns
2015 : Facebook de
http://venturebeat.com/2015/07/09/facebooks-planned-customer-data-change-called-land-grab-by-publishers/
http://mobileleadersalliance.com/2015/06/17/the-ugly-truth-behind-facebooks-new-app-marketing-policy/
May 2015
August 2015