Kochava review

Kochava is a marketing measurement and attribution platform. Its core job is to connect campaign activity with app installs, in-app events and business outcomes, then give marketing teams reporting to assess performance. The product brief covers mobile attribution across iOS, Android and Huawei, plus measurement across web, connected TV, out-of-home and offline channels.

It is broader than an install tracker: Kochava also offers analytics, marketing mix modeling (MMM), fraud prevention and AI workflows. Its analytics tools include dashboards, reporting, data syndication and ETL support. StationOne combines the company’s data platform with generative AI and agentic workflows, according to the product description.

A commenter on r/adops describes the usual mobile measurement setup as an SDK in the app, with tracking links used in campaign configurations; they note Kochava measures campaigns rather than serving the ads. That is a useful distinction when comparing it with an ad platform.

The breadth is the main case for Kochava. Teams that need app attribution alongside web and CTV measurement can start with its Free App Analytics plan, which the pricing page lists at $0 per month. It includes up to 10,000 conversions a month, mobile and CTV measurement, paid attribution for self-attributing networks and 30-day data retention.

The paid plans add meaningful capacity and coverage. Foundation is listed at $500 per month, with up to 33,000 conversions, mobile, CTV and web measurement, 180-day retention and a 24-hour support response. Enterprise is $2,000 per month and lists 200,000 monthly active users, unlimited raw-data queries, at least 365 days of retention and a four-hour support response.

Kochava also has options beyond standard attribution: MMM includes budget planning and a scenario planner, and the pricing page says it works with Kochava and other mobile measurement partners. Fraud prevention and StationOne’s AI workflows may suit teams that want these functions alongside measurement, rather than assembling separate tools. Those capabilities make the platform worth shortlisting if channel coverage matters more than a simple install-tracking setup.

The first drawback is price transparency. The pricing page lists Foundation at $500 per month and Enterprise at $2,000, but annual prepayment rates are not published. Foundry Strategic Services uses hourly or project pricing; Atlas Performance is CPM-based; Search Ads Maven is priced according to Apple Ads spend; and MMM pricing depends on app models and ad spend. The page says Kochava MMM and search ads automation may have bundle pricing, but does not publish amounts.

The plan limits also matter. Free App Analytics stops at 10,000 monthly conversions and 30 days of retention. Foundation raises those figures to 33,000 conversions and 180 days, while Enterprise is described using 200,000 monthly active users rather than a conversion cap. Compare those units carefully before estimating your likely bill; the listed limits are not interchangeable.

Kochava’s wider scope may also be more than a team needs if it only wants basic app attribution. Reddit discussions explain the SDK and tracking-link model, but do not provide a reliable Kochava-versus-competitor accuracy comparison. We would not treat those threads as evidence that switching will resolve attribution discrepancies.

Kochava’s pricing page lists a free tier, but paid plans start at $500 per month. Free App Analytics includes 10K conversions a month, mobile and CTV measurement, and 30-day data retention. Foundation costs $500 monthly for 33K conversions, mobile, CTV and web measurement, 180-day retention, and a 24-hour support response.

Enterprise is $2,000 a month: four times Foundation’s listed price. It includes 200K MAU monthly, unlimited raw-data queries, 365+ days of retention, and a four-hour support response. The pricing page says annual prepayment is available, but does not publish annual rates.

Other costs are less clear. Foundry Strategic Services is hourly or project-based; Atlas Performance is CPM-based; Search Ads Maven pricing depends on Apple Ads spend; and Marketing Mix Modeling pricing depends on ad spend and model count. Kochava says MMM and search ads automation may have bundle pricing, but does not publish amounts. Confirm those costs before comparing total spend.

Plan a migration around event definitions, attribution links, reporting needs, and how much historical data you need to keep. Kochava’s listed retention ranges from 30 days on Free App Analytics to 180 days on Foundation and 365+ days on Enterprise. The published pricing information does not specify data-export formats, migration services, or whether historical data can be transferred from another provider, so get those details in writing before you switch.

The same checks matter if you leave: ask what raw data you can export, how long access continues after cancellation, and whether existing dashboards or integrations need rebuilding. Kochava lists unlimited raw-data queries on Enterprise, but the source does not describe export terms for any plan. We also don’t have specific Reddit reports about users’ reasons for leaving or migration problems, so we can’t treat those as established patterns. The practical trade-off is clear pricing for the main tiers, but less published detail for add-ons and the mechanics of moving data.