Use MMP attribution for post-install metrics & revenue, extrapolate this data with SKAN installs to get the full picture. With combined data, you favour non-SRN (like Applovin or Unity) that allow probabilistic matching. If your MMP does not deduplicate, forget about it There are installs overlap between SKAN & MMP attribution.
MMPs like Appsflyer Single Source of Truth allow to add up SKAN + MMP data while removing duplicates to get a comprehensive picture CPI looks better (you attribute more installs) you get closer to pre- #ATT tracking. High level only, cannot help you allocate budget between channel A, B or CĬombine SKAN and MMP-attributed data to get the most comprehensive view of your installs. Does not inform the profitability of installs Factors in the organic impact of your marketing spend, by adding the organic installs Not impacted by ATT, and easy to look at over time, and compare between OS See if you’re marketing is driving more or less installs over time.
If quality of your installs decreases, this KPI won't help you spot it In UA, we like cohorted data and this KPI is not. This is a sanity check, not a way to allocate your marketing budget Allows comparison between OS, and with industry peers KPI not impacted by ATT, ensures you spend profitably Look at / īenchmark this figure between OS or against listed companies to know where you stand. Now, let’s explore 5 ways to keep track of your iOS marketing ROI. Last week, I attempted to highlight what we're currently missing on iOS performance data. 🆘 Some tips to track your iOS #useracquisition performance #ASO #ASC #benchmarks #appmarketing #thomasbcn
Aim at improving your past metrics instead. Too many bias including the lack of country filter, the very broad definition of "categories", noise is added by Apple, traffic composition can affect in many ways & more.ĭon't take any value for a target metric. They help debunk VC unreasonable expectations, but they aren't a North Star metric. To wrap it up, the usual disclaimer: remember benchmarks are what they are. + I'm told Casino games got theirs removed. + I still have question marks over the methodology behind ARPPU: are renewals properly factored? Are trialists actually counted as "payer users"? ASO tools prioritizing fast iterations over bottom line maximization will soon productize this so we get data over time, for each tier of download volume and every business model.Link available in app community circles (don't expect me to bait you into commenting to fake boost my reach, and keep muting the wannabe growth hackers who exploit Linkedin PM laziness at your expense) Phiture's team is crowdsourcing this to expand datapoints.See attached the values for 13 categories of subscription apps. Earlier this week, Apple released metrics benchmark feature in AppStoreConnect.
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