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Boost your profitability with a single source of truth
Distribution measurement is not a single perspective anymore. With a single source of truth, you can now bid higher, spend more, and justify it.
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227 results for "iOS 14"
Customer stories
Banking on attribution gave 50% more visibility into SKAN conversions
Find out how Step, a banking app, achieved 50% more attributed SKAN conversions & saved time for their marketing team on campaign optimization.
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Beyond product specs: 5 crucial factors to consider when buying an MMP
Choosing the right mobile measurement partner is very important. Read about the factors you must consider before choosing the best MMP for you.
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It’s not you, it’s your MMP: How to know it’s time to switch
Not getting enough value from your current MMP, or need a better platform to support your growing needs? Brace yourself before reading this blog.
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Filling in the blanks: How a new model alleviates the pain from SKAN’s privacy threshold
Read and understand how a new null CV modeling solution helps advertisers deal with Apple’s elusive privacy threshold.
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SSOT attribution uplift and eCPI drop per category revealed
Single source of truth dive: Average app has a 29% non-organic install attribution uplift, a 40% drop in eCPI & a 62% increase in marketing revenue.
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How to optimize SKAdNetwork campaigns on Meta, Google, TikTok, and Snap
The impact of Apple’s SKAN cannot be overstated. Read and learn how to optimize SKAdNetwork campaigns on Meta, Google, TikTok & Snap.
Customer stories
Single Source of Truth – A pathway to deduplicating installs and events between SKAN and AppsFlyer
Discover how Gismart managed to solve the problem of deduplicating downloads and events between SKAN and AppsFlyer attribution with SSOT.
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How to break your addiction to user level data – From user level centric to aggregate
The fast-changing mobile privacy environment keeps evolving. Read the necessary steps on how to break your addiction to user-level data.
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It’s time to come clean – the complete data clean rooms guide
What are data clean rooms, why do marketers need them, and how they’re going to affect our ability to measure campaigns in the years to come?
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