Singular vs Adjust: Which MMP Fits a Mobile App Team in 2026?

Singular and Adjust solve the same core problem — attributing installs and in-app events to the ad that caused them, across every network — and they have grown in different directions from it. Choosing between them is mostly a question of which direction matches the problem you actually have.

This is not a scorecard. Both are good. The point is to name the difference precisely enough that you can pick in an afternoon.

Side by side

Pricing details change; treat the figures as the publicly listed state in 2026 and confirm on the vendors' pages.

Where Singular is stronger

Singular started as a cost-aggregation product and added attribution; that history shows. It pulls spend from ad networks natively and joins it to attributed conversions so ROAS by channel, campaign, and creative is a first-class report rather than an export. If the thing you rebuild in a spreadsheet every Monday is "spend from seven networks next to revenue from the MMP," Singular has been built around that join for longer.

Transparent per-conversion pricing is the second point. Knowing what the next 100,000 conversions cost makes budgeting simpler, and a free tier that includes revenue attribution is unusual in the category.

Where Adjust is stronger

Adjust's reputation is attribution integrity. Fraud prevention — click spam, click injection, SDK spoofing — is a mature part of the product, and on programmatic and incentivized inventory it earns its cost quickly. Privacy tooling (consent management, data residency) and SKAdNetwork support are similarly developed, which matters for iOS-heavy accounts and for teams selling into regulated markets.

Install-based pricing rewards apps with high event volume per install: a subscription app with many renewal events per user pays on installs, not events.

What neither one does

Both know which ad drove an install. Neither has the app store's billing ledger. Each reports the revenue events your app sends its SDK — which means a purchase fired on trial start is a purchase to both, refunds generally don't reverse, and values arrive gross of the 15–30% store commission.

For subscription apps that gap is the whole difference between reported and real ROAS. It is why either MMP gets paired with a subscription platform such as RevenueCat, and why the join between the two — spend and attribution on one side, store-verified cohort revenue on the other — ends up back in a spreadsheet. We covered the RevenueCat half of that in RevenueCat vs Adjust.

Picking

Choose Singular when cross-network ROAS reporting is the daily pain, you want published pricing, and your fraud exposure is moderate (mostly self-attributing networks).

Choose Adjust when you run meaningful programmatic or incentivized spend, iOS is a large share of budget and SKAN tooling matters, or privacy and consent requirements are strict.

Stay where you are when the MMP isn't the bottleneck. Switching MMPs re-baselines every historical cohort and costs a quarter of engineering attention. If the pain is the spend-plus-revenue join rather than attribution itself, the cheaper fix is a layer on top of the MMP you have.

Where Roasy fits

Roasy isn't an MMP and doesn't replace either one. It connects to your ad networks, your MMP (Adjust today), and your RevenueCat project, and puts spend, attribution, and realized cohort revenue in one table with one revenue definition. If you're choosing an MMP because the reporting join hurts, that's the part Roasy takes off the table — whichever MMP you land on. Next: AppsFlyer vs Adjust.