5 mobile attribution software alternatives to Adjust
Mobile attribution software alternatives to Adjust include AppsFlyer, Branch, Singular, Kochava, and Airbridge Growth.
A five-option shortlist for teams expanding mobile attribution
- Compare AppsFlyer, Branch, Singular, Kochava, and Airbridge Growth against the same network, event, data, fraud, support, and pricing requirements.
- Airbridge Growth documents 330+ networks and daily raw-file exports; storage integrations, usage, and support follow the selected agreement.
- Kochava lists free and Foundation entry tiers. For Growth, request MAU- or attributed-install-based contract terms and an export sample.
Mobile attribution software alternatives to Adjust include AppsFlyer, Branch, Singular, Kochava, and Airbridge Growth. The right fit depends on which parts of your measurement work have expanded: channel coverage, event definitions, warehouse exports, fraud review, or the amount of help your team needs to implement and operate the system.
A missing network integration can turn weekly reporting into manual reconciliation, while event-level data can determine whether analysts can connect acquisition to subscription milestones in their own warehouse.
Set the requirements before comparing vendors
Use one scorecard for every platform. Write down the networks you buy from, the events you optimize around, the place your team analyzes data, and the operational support you need. This keeps a feature that sounds useful from outweighing a requirement that blocks a real workflow.
Separate direct ad-network measurement from other connections. A vendor might connect campaign-cost data, analytics destinations, subscription tools, and media partners through different integrations. For a team using an attribution platform alongside RevenueCat, Adapty, or Superwall, compare the handoff your actual workflow requires rather than assuming that one connection type covers every use.
Custom event tracking matters when your app’s decision events do not fit the standard event set. For a subscription app, a team may need to distinguish a trial start from a first paid renewal so it can interpret acquisition quality at different points in the customer journey. Preserve the event names and definitions the analytics team already uses when you test an alternative.
3. Decide what raw data needs to reach your team
“Raw data” can mean user-level or event-level records that analysts can query, while aggregate reports group results for quicker review. Write down the required level of detail and destination, such as S3, BigQuery, Snowflake, an existing database, or a reporting tool. Then match the vendor’s export method to how the data team already works: scheduled files, an API, or data written to a destination.
If analysts join attributed installs to subscription events, campaign costs, and billing records, they need the export’s fields, delivery timing, and retention to support that workflow. A dashboard can answer a campaign question quickly; a warehouse feed gives the team a way to combine attribution with the app’s other business data.
Five alternatives for a growing attribution workflow
1. AppsFlyer: consider it for a fraud-review workflow built around Protect360 reports
AppsFlyer’s Protect360 raw-data reports give fraud teams a detailed view of affected activity. Protect360 raw reports cover clicks, installs, and in-app events identified as fraudulent by Protect360, plus installs and in-app events identified through Validation Rules, according to AppsFlyer’s report documentation. The reports are available by download, Pull API, and Data Locker in an S3 bucket.
That combination can suit teams that want to reconcile an ad-network account, investigate post-attribution fraud, or bring fraud evidence into their own reporting. AppsFlyer labels the Protect360 raw-data reports Premium. Historical retention can reach 90 days, depending on the reporting tool and data origin, so teams planning longer-term comparisons should align their collection schedule with those retention conditions.
AppsFlyer Protect360 raw reports may have restricted or unavailable fields when Aggregated Advanced Privacy applies, per its report documentation. Integrated partners can view the Protect360 dashboard and raw reports when advertisers grant the required permissions, per AppsFlyer’s Protect360 partner documentation. Put report access, delivery route, retention, and the plan’s Premium condition on the purchase checklist if fraud evidence is a core reason to switch.
2. Branch: consider it when raw, aggregate, and real-time data feeds matter
Branch documents several data-export and API workflows. Match the required raw, aggregate, or real-time output to the current API documentation and the plan sold to the account. Product-wide export capability does not imply that the Intro plan includes every API.
Branch’s Attribution API returns attribution properties for INSTALL, REINSTALL, and OPEN events. The API supports sending attribution information server-side, while Branch mobile SDKs handle these events by default. That distinction matters to teams whose implementation design calls for server-side event handling or a separate event flow.
The practical fit is strongest when the documented export formats and integration pattern line up with the destination and implementation your engineers maintain. Map each event your team cares about to the mechanism that supplies it, then validate the attribution properties and delivery path in a test app.
3. Singular: consider it when attribution and user-level data need to reach analytics tools
Singular combines campaign, ad-monetization, audience, and bid data through its partner integrations, per its MMP product page. Its MMP product page names support for databases and visualization tools such as Tableau and Looker, plus file-based storage such as S3 and SFTP. That makes Singular relevant when analysts want attribution records inside a familiar query or reporting environment.
Singular’s Export Logs and User-Level Data schema specifies the fields available for each export-log type; some of those fields also appear in user-level, event-level Data Destinations. Singular sends BigQuery destination timestamps in UTC because BigQuery destinations do not support time zones.
For daily comparisons, align billing and app-event timestamps with Singular’s UTC records before joining the data. Singular Data Connectors pull campaign data into Singular, and automated postbacks notify partners of install attributions and other identified events, per its partner integration FAQ.
4. Kochava: consider it when you want a published entry tier and deeper reporting options
Kochava’s $0/month Free App Analytics plan includes mobile and CTV measurement, standard install and post-install event tracking, paid-media attribution for self-attributing networks, and AI-powered ad fraud prevention. A plan starting at $500/month adds custom post-install event tracking, paid-media attribution for all integrated partners, row-level reporting, and audience export from analytics.
Kochava’s data reporting and exports documentation includes row-level Multi-touch Attribution logs and Fractional Attribution reports; the latter assigns a fractional weight by attribution position when enabled. Kochava raw-data exports can provide evidence when an ad partner requests proof for a fraud-related make-good, per its data reporting and exports documentation.
5. Airbridge Growth: consider it when you need broader network and data scope with migration support
Airbridge’s dedicated Growth plan details describe 330+ ad networks, custom commercial scope, and daily raw-file delivery to Amazon S3, Google Cloud Storage, or Azure Blob Storage. The default includes one storage integration; extra storage integrations are charged.
Load the delivered files into a warehouse as a separate data-engineering step. A warehouse such as BigQuery or Snowflake can be part of the customer’s pipeline; the public Growth setup does not establish unlimited direct exports to those warehouses.
Growth uses MAU- or attributed-install-based contract pricing. Agree the usage allowance, storage connections, migration services, and customer-success scope with sales. Preserve those written terms in the evaluation instead of treating all support or integration labels as unlimited entitlements.
Make the choice with a short validation plan
- Run the same test install on each shortlisted platform. Use a device and campaign setup that lets your team trace a test click through an attributed install and downstream events. Record the integration and SDK version, event names, and any discrepancies. A shared test record gives the team a like-for-like view of the output.
- Replay the event map using real app actions. Trigger the same sequence, then compare event receipt, parameters, and names in each platform. For a subscription flow, include trial start and renewal when those events drive reporting. Record each expected action beside the observed output so an omitted or differently named event is easy to locate.
- Run a sample export through a real query. Send a small data sample to the intended destination and run the join or report your analysts plan to use. Check field names, timestamps, available identifiers, and whether daily totals reconcile. For Singular BigQuery destinations, account for timestamps being sent in UTC.
- Complete one fraud-evidence handoff. Use a flagged sample or documented report workflow to trace the evidence through the access and export path. AppsFlyer marks Protect360 raw-data reports as Premium, and Kochava describes raw data as evidence for fraud-related make-good requests. Compare those workflows with the report fields and partner access your team needs.
- Set acceptance results before migration. Record expected and actual outcomes for the test install, event sequence, export, and fraud-review task. Assign an owner to each mismatch and decide which one blocks launch. Repeat the test after configuration changes so the final setup has a clear pass record.
For example, assume a US subscription app has added several paid channels, uses custom trial and renewal events, and already sends app revenue into a warehouse. The team can rank network coverage first if partner gaps prevent attribution, then confirm custom events and export structure, then compare fraud review and migration help. If the channel list is already covered but analysts cannot join attribution to subscription data, the warehouse schema becomes the first selection test instead.
Ask each Adjust replacement for an export acceptance sample
Request a small install-and-renewal dataset before contracting. Check event identity, timestamps, currency, consent-limited fields, destination format, delivery delay, and the join your analyst must run. Record the paid plan or add-on needed for that exact output; this is the deciding test when the current bottleneck is custom events or warehouse access.
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