Adjust
German mobile marketing analytics and attribution platform company
Adjust is a German mobile marketing analytics company that provides attribution measurement, fraud prevention, and campaign analytics for app marketers, tracking which advertising sources drive app installs and subsequent user activity.…
Definition
Adjust is a German mobile marketing analytics company that provides attribution measurement, fraud prevention, and campaign analytics for app marketers, tracking which advertising sources drive app installs and subsequent user activity. Operating as an independent mobile measurement partner, it gives advertisers a channel-neutral view of campaign performance across the many ad networks used to promote mobile apps, spanning both install-time attribution and post-install engagement tracking.
Overview
App marketers running campaigns across many ad networks simultaneously need a way to know which specific network or creative actually caused a given install, since relying on each network's self-reported numbers produces inflated and inconsistent totals when added together. Adjust was built to serve as an independent measurement layer that sits between advertisers and ad networks, attributing installs and in-app events accurately regardless of which network claims credit. The platform integrates via an SDK embedded in the mobile app plus tracking links used across ad campaigns. When a user interacts with an ad and later installs the app, Adjust matches that install event back to the originating click or impression using a combination of matching techniques, then attributes subsequent tracked in-app events, such as registrations or purchases, to that same source. This attribution feeds dashboards that let marketing teams compare network and campaign performance on equal footing. Adjust operates in the mobile measurement partner category alongside a small number of similarly positioned attribution providers, distinguishing itself from ad networks' built-in reporting tools, which inherently cannot serve as neutral arbiters of their own performance. Within its category, providers differentiate mainly on the sophistication of their fraud detection, the breadth of their ad network integrations, and their approach to privacy-compliant measurement as mobile platforms restrict tracking. In practice, mobile app marketers use Adjust to allocate advertising budget across networks based on measured install and revenue outcomes, identify and block fraudulent install traffic that would otherwise distort reported campaign performance, and analyze user retention and lifetime value segmented by acquisition channel. This data is often fed directly into automated bidding systems that adjust ad spend based on measured results. A limitation shared across the mobile measurement partner category, including Adjust, is that privacy-driven restrictions on device-level identifiers have reduced the precision of deterministic attribution, requiring providers to rely more on aggregated and probabilistic models. Marketers should treat modern attribution data as a strong directional signal for optimization rather than an exact, individually verified accounting of every single install. Switching between measurement partners is also nontrivial once historical attribution data and integrations are built around one provider, so businesses tend to treat this choice as a longer-term platform decision rather than something to revisit casually each budget cycle. Teams typically run a careful parallel measurement period before fully cutting over from one provider to another, precisely because attribution discrepancies during a migration are difficult to diagnose after the fact.
Key Features
- Cross-network mobile app install and event attribution
- Fraud prevention tools for detecting invalid install traffic
- SDK and tracking link integration for campaign measurement
- Dashboards comparing ad network and campaign performance
- Retention and lifetime value analysis by acquisition channel
- Privacy-compliant, aggregated measurement approaches
- Integrations with major mobile ad networks and platforms
- Automated data feeds into ad bidding and budget allocation systems
Use Cases
Alternatives
Frequently Asked Questions
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