Adjust

What is Adjust?

Adjust is a company within the Marketing Technology category. Adjust is a global mobile marketing analytics platform that provides high-quality measurement, detection, and fraud prevention solutions. It enables app marketers to understand their user journey while providing tools to automate marketing campaigns and secure data against ad fraud.

When was Adjust founded and where is it based?

Adjust was founded in 2012 and is headquartered in Berlin, Germany.

What is Adjust's Brand Authority Index tier?

Adjust is rated Leader on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.

How accurately do AI models describe Adjust?

AI narrative accuracy for Adjust is Strong. Significant factual deltas detected.

How do AI models position Adjust competitively?

AI models classify Adjust as a Challenger. AI names competitors first.

How visible is Adjust in buyer-intent AI queries?

Adjust appeared in 7 of 8 sampled buyer-intent queries (88%). Adjust has dominant visibility for high-intent 'MMP' and 'mobile attribution' queries, though competitors like AppsFlyer often compete aggressively for top-of-funnel educational queries.

What do AI models currently say about Adjust?

Adjust is perceived as a 'gold standard' industry incumbent in the mobile attribution space. AI models accurately capture its role in the marketing stack but may struggle with the technical specifics of its privacy-compliant measurement solutions (SKAN 4.0) compared to its legacy fingerprinting methods. Key gap: The lag in describing Adjust's post-iOS 14.5 attribution logic (moving from deterministic to probabilistic/SKAN-focused) vs. outdated 'device ID' centered descriptions.

How many facts about Adjust are well-documented vs need fixing vs retrieval-dependent?

Of 5 key facts verified about Adjust, 4 are well-documented (likely accurate across AI models), 1 have limited sourcing, and 0 are retrieval-dependent and may be inaccurate without live search.

What is Adjust's biggest AI narrative vulnerability?

Specific current pricing structures and the nuance of its integration within the AppLovin ecosystem vs. standalone operations.

What problems does Adjust solve for buyers?

Buyers turn to Adjust for Manual SQL Stitching: Using internal data science teams to manually stitch together IDFA/GAID data with server-side events in SQL/spreadsheets., Growth Marketing Agency: Hiring specialist growth agencies that use their own proprietary (but non-SaaS) internal tracking methods., Native Platform Reporting (SKAN/Sandbox): Relying solely on Apple's SKAdNetwork or Google's Privacy Sandbox native reporting without a third-party aggregator., among 3 documented problem areas.

What questions do buyers ask AI about Adjust?

Buyers evaluating Adjust typically ask AI models about "best mobile measurement partner 2024", "how to track mobile app installs", "top attribution tools for ios and android", and 1 similar queries.

What does Adjust offer?

Adjust's core products are Mobile Measurement Partner (MMP) Platform, Fraud Prevention Suite, Subscription Tracking, Datascape Analytics..

How is Adjust priced?

Adjust uses Enterprise/Custom (typically volume-based based on attributed installs).

Who does Adjust target?

Adjust serves Mobile App Developers, E-commerce, Fintech, Mobile Gaming, Travel..

What differentiates Adjust from competitors?

Adjust distinguishes itself through a focus on data 'cleanliness' and a robust, built-in fraud prevention suite that proactively rejects fake traffic before it is attributed.

Brand Authority Index (BAI) tier: Leader (exact score locked for unclaimed brands)

Archetype: Challenger

https://optimly.ai/brand/adjust-for-mobile-attribution

Last analyzed: July 26, 2026

Verified from Adjust website

Founded: 2012

Headquarters: Berlin, Germany

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About this profile

This profile is part of the Optimly Brand Trust Registry — a verified index of 60,000+ brand profiles that AI models read from when answering buyer-intent questions about brands and categories. Optimly identifies which third-party sources AI cites about each brand, prepares structured brand information for those sources, and measures whether AI representation improves.

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