When a mobile app reaches a certain scale, the growth team inevitably faces the classic legacy choice: which enterprise platform should measure our spend? A marketer recently took to r/AskMarketing to ask, "MMP: Appsflyer v. Adjust accuracy?" The ensuing debate highlighted a crucial truth - when comparing legacy platforms, "accuracy" is often a distraction from the real issues of usability, transparency, and pricing.

Community Spotlight

This post was inspired by a discussion on Reddit: MMP: Appsflyer v. Adjust accuracy?
Posted in r/AskMarketing
The reality is that both platforms use the exact same operating system APIs, the same SKAdNetwork postbacks, and the same server-to-server integrations with major ad networks. The minor differences in fractional accuracy are vastly outweighed by the massive differences in how these tools impact a growth team's daily workflow and budget.

Why the Accuracy Debate is Misleading

Focusing solely on deterministic accuracy ignores how mobile user acquisition actually functions in a privacy-first ecosystem.

• Shared constraints: No platform can bypass Apple's ATT framework or Google's Privacy Sandbox; they all face the exact same signal loss.

• Modelling discrepancies: The perceived differences in accuracy usually stem from how each platform's proprietary algorithms guess (model) missing data.

• The real bottleneck: Teams rarely fail because their MMP is 2% less accurate; they fail because the platform is too difficult to use, or the pricing destroys their margins.
  Tech Explainer: Deterministic attribution relies on a direct, undeniable link between an ad click and an app install, such as a device ID. With the deprecation of these identifiers, all platforms now rely heavily on probabilistic modelling to estimate performance.

What Actually Matters When Choosing an MMP

Instead of debating fractional modelling accuracy, growth teams should evaluate measurement platforms based on operational impact.

• Speed to insight: How quickly can your team pull a cohorted ROAS report without exporting data to a spreadsheet?

• Integration friction: Does the SDK require constant maintenance from your engineering team?

• Unit economics: Will the platform's pricing model scale with your business, or will it punish you for acquiring high-volume, lower-LTV users?

The Modern Alternative to the Legacy Duopoly

Agile growth teams are realising they do not have to settle for the rigid contracts and bloated dashboards of legacy providers.
Linkrunner bypasses the AppsFlyer vs Adjust debate entirely by focusing on what modern teams actually need: speed, transparency, and fair pricing. As a unified platform with a highly performant SDK, Linkrunner ensures you have reliable data without the enterprise overhead. At Rs0.8 per install, it offers superior unit economics, and our free tier allows startups to scale without upfront risk. You can review our clear attribution methodologies at docs.linkrunner.io.
If you are tired of choosing between legacy giants that offer the same underlying constraints at premium prices, it is time to look at modern alternatives. You can explore a faster, more transparent attribution platform by requesting a demo.