Kochava is a mobile advertising and data broker company that specializes in providing attribution, analytics, and fraud detection services for connected devices.
This information is relevant to digital marketers, app developers, and analysts who are researching performance measurement tools and optimizing their mobile advertising strategies.
External context
For individuals managing mobile campaigns, Kochava helps track which specific ad sources drive user installations and subsequent in-app actions. This capability allows businesses to gain deep insights into device performance and understand the true return on investment from various marketing channels.
Kochava Wikipedia contributors, “Kochava”, en.wikipedia.orgLicence01What it is and how it works
Kochava works by integrating a lightweight SDK into your mobile app. The SDK collects device identifiers (IDFA, GAID, or probabilistic fingerprints) and sends them to Kochava’s servers when a user interacts with an ad. When the app is installed and opened, Kochava matches the install event to the earlier ad interaction using deterministic matching (when a device ID is available) or probabilistic modeling. The platform also ingests impression and click data from ad networks via server-to-server postbacks. Beyond attribution, Kochava offers real-time analytics dashboards, cohort analysis, and fraud detection that examines patterns like click-to-install time, device anomalies, and IP clustering. For example, if a user clicks a Facebook ad and installs the app within an hour, Kochava attributes that install to Facebook and records the event.
Kochava is a tool that tracks where your app users come from and what they do after installing, so you can measure ad effectiveness and optimize spend.
02What to do about it
This week, take three concrete actions. First, verify that the Kochava SDK is correctly integrated in your app and that all key events (install, session, purchase) are being sent. Second, review your attribution windows: set a click-through window of 7 days and a view-through window of 1 day, unless your campaign data suggests otherwise. Third, configure postbacks to send attribution data back to your ad networks so they can optimize delivery. In Kochava’s dashboard, check the “Attribution Overview” report to confirm that installs are being credited to the expected sources. If you run re-engagement campaigns, ensure your deeplinks are set up properly so Kochava can attribute those conversions.
03How it is measured or noticed
You measure Kochava’s impact by looking at attribution reports and performance metrics. The key numbers are installs, sessions, in-app events (e.g., registrations, purchases), cost per install (CPI), and return on ad spend (ROAS). In the “Attribution” report, you see installs broken down by source, campaign, and creative. The “Cohort” report shows retention and revenue over time for users acquired from each source. Fraud detection appears as a separate “Fraud” dashboard where you can see flagged events, click-to-install time distributions, and device blacklists. A sudden spike in installs from a low-cost network with very short click-to-install times is a red flag that Kochava will highlight.
04Common mistakes
- Not testing the SDK integration thoroughly before launch, leading to missing events or incorrect attribution.
- Using attribution windows that are too short (e.g., 1-day click-through) for campaigns with longer conversion cycles.
- Ignoring fraud detection signals and failing to set up automatic blocking rules.
- Forgetting to configure deeplinks for re-engagement campaigns, so those conversions are not attributed.
- Not updating the SDK when Apple or Android changes privacy policies (e.g., iOS ATT prompt), causing data loss.
05Limits
Kochava is built for mobile apps and does not track web-only campaigns. It relies on device identifiers, which are restricted on iOS 14+ (requires ATT consent) and increasingly limited on Android. In environments where no unique ID is available (e.g., Safari, privacy-focused browsers), attribution becomes probabilistic and less accurate. Kochava is often confused with other MMPs like AppsFlyer or Adjust; while they share core functions, each has different fraud detection algorithms, data retention policies, and integration complexity. The platform also cannot attribute installs that happen before the SDK is integrated or when the user has opted out of tracking entirely.
06Worked example
A gaming app runs a UA campaign on TikTok and Google Ads. Kochava attributes 5,000 installs to TikTok and 3,000 to Google. However, it flags 500 installs from TikTok as fraudulent due to abnormally fast click-to-install times (under 1 second). The marketer pauses TikTok and reallocates budget to Google, resulting in a 20% increase in ROAS over the next two weeks.
The entry above is written by GetLoopLoop. What follows is what independent catalogues hold about the same term — none of it is the source of this page.
- Kind of thing
- company
The same term on Wikipedia
Catalogued in 1 languagesFrequently asked questions
How is Kochava different from Google Analytics for Firebase?
Kochava is a dedicated mobile measurement partner focused on attribution and fraud detection, while Firebase Analytics is a general app analytics platform. Kochava specializes in connecting ad spend to installs and in-app actions across networks, whereas Firebase provides broader user behavior analytics without the same depth of attribution.
Should I use Kochava if I only run iOS campaigns?
Yes, Kochava fully supports iOS campaigns including SKAdNetwork integration. It works with both iOS and Android, so even if you only run iOS now, you can expand later without switching tools.
How does Kochava attribute installs to specific ad networks?
Kochava uses its SDK to capture device identifiers and match them with ad clicks or impressions. It supports deterministic attribution (e.g., IDFA) and probabilistic methods when identifiers are limited, plus SKAdNetwork for iOS privacy compliance.
Does Kochava still work with iOS 14+ privacy changes?
Yes, Kochava adapted by supporting Apple's SKAdNetwork and providing aggregated attribution reports. It also offers privacy-compliant solutions like conversion modeling to fill data gaps.
What happens if I don't integrate Kochava's SDK correctly?
Attribution breaks and you lose the ability to tie installs to specific ad sources. In-app events also go untracked, making it impossible to measure campaign performance or detect fraud accurately.
How long after an install does Kochava show attribution data?
Most installs appear in Kochava's dashboard within minutes. However, SKAdNetwork postbacks can take up to 24–48 hours due to Apple's delayed reporting, so real-time data may be incomplete for iOS campaigns.
Wikimedia Commons
Related visuals with source and licence credit
Asked out loud
spoken, not typedThe same term in the words somebody uses speaking to an assistant rather than typing into a box — written from the situation, which is why each one carries the situation it came from.
Use Kochava's attribution reports. Open the dashboard, filter by date range and network, and it will show you the breakdown by installs and revenue.
Kochava does. Their SDK supports custom events including purchases. Just add the event tracking code after the purchase completes and it will appear in your reports.
You probably didn't configure the ad network links correctly. Check your Kochava postback setup and ensure the click tracking URLs are properly formatted with the right parameters.