Kochava

Overview

Kochava is a mobile measurement partner (MMP) that provides a platform for mobile app developers and marketers to measure, optimize, and secure their advertising campaigns. Established in 2011, the company offers a suite of tools designed to attribute app installs and post-install events to specific marketing sources, helping clients understand the return on investment (ROI) of their ad spend. The platform supports a wide range of mobile operating systems and development frameworks, including native iOS and Android, as well as cross-platform solutions like Unity, React Native, and Flutter, through its comprehensive SDKs.

The core functionality of Kochava revolves around mobile attribution, which involves connecting user actions, such as app installs or in-app purchases, to the specific marketing touchpoints that drove them. This enables marketers to identify their most effective channels and campaigns. Beyond attribution, Kochava integrates fraud prevention capabilities, designed to detect and mitigate various forms of ad fraud, including install farm fraud, click injection, and bot activity. This helps ensure that advertising budgets are spent on legitimate user acquisitions rather place them on fraudulent engagements, which is a common concern in the mobile advertising ecosystem, as noted by industry publications discussing fraud detection methods.

Kochava also provides audience segmentation and targeting tools, allowing users to analyze their customer base, create custom audience segments based on behavior and demographics, and then activate these segments for retargeting campaigns or personalized user experiences. The platform's Data Clean Room solution facilitates secure, privacy-centric collaboration between multiple parties to analyze shared datasets without exposing raw, identifiable user data. This is particularly relevant in an environment with increasing data privacy regulations like GDPR and CCPA, which Kochava is designed to help clients comply with. Kochava's identity solutions aim to provide a unified view of the customer across different devices and touchpoints, contributing to more accurate attribution and audience insights. The platform is best suited for enterprise-level organizations with significant mobile marketing budgets and complex attribution, fraud, and audience management requirements.

Key features

• Mobile Attribution: Measures app installs and in-app events, attributing them to specific marketing campaigns and channels to provide insights into campaign performance.
• Fraud Prevention: Employs algorithms and real-time analysis to identify and block various types of ad fraud, protecting advertising budgets from invalid traffic and ensuring legitimate user acquisition.
• Audience Segmentation: Allows for the creation of granular audience segments based on user behavior, demographics, and other data points, enabling targeted marketing and personalization.
• Data Clean Room: Provides a secure, privacy-enhanced environment for multiple parties to collaborate on data analysis without sharing raw, personally identifiable information, aligning with data privacy regulations.
• Identity Solutions: Helps unify customer identities across different devices and platforms, contributing to a more complete view of the customer journey and enabling cross-device attribution.
• Deep Linking: Facilitates seamless user experiences by directing users to specific content within an app from various marketing touchpoints.
• Analytics and Reporting: Offers customizable dashboards and reports to visualize campaign performance, user behavior, and key metrics, supporting data-driven decision-making.

Pricing

As of May 2026, Kochava operates on a custom enterprise pricing model. Specific pricing details are not publicly disclosed and require direct engagement with their sales team.

For detailed pricing information, prospective clients are directed to contact Kochava directly.

Common integrations

Kochava's platform is designed to integrate with a wide array of advertising partners, media sources, and other marketing technology solutions. Its documentation portal provides guides for various SDK integrations and partner setup configurations.

• Advertising Networks: Integration with major ad networks and demand-side platforms (DSPs) for campaign tracking and optimization.
• Publisher Platforms: Connections with various publishers to enable accurate attribution of installs and events originating from their inventory.
• Marketing Automation Platforms: Data exchange with platforms like Salesforce Marketing Cloud or Braze for audience activation and personalized campaigns.
• Cloud Storage & Data Warehouses: Exporting attribution and event data to cloud storage solutions (e.g., Amazon S3, Google Cloud Storage) or data warehouses (e.g., Snowflake, Google BigQuery) for further analysis.
• Business Intelligence (BI) Tools: Integration capabilities to feed data into BI tools like Tableau or Looker for custom reporting and visualization.
• Customer Relationship Management (CRM) Systems: Syncing user data with CRM systems to enrich customer profiles and inform sales and support efforts.

Alternatives

• AppsFlyer: A mobile attribution and marketing analytics platform offering similar capabilities in attribution, fraud prevention, and audience segmentation.
• Adjust: Another mobile measurement partner focusing on attribution, analytics, and fraud prevention for app marketers.
• Branch: Specializes in deep linking and mobile attribution, providing solutions for linking users seamlessly across different channels and measuring their journey.

Getting started

To integrate Kochava into a mobile application, developers typically add the Kochava SDK to their project and initialize it with their unique App GUID. The following example demonstrates basic initialization for an iOS application using Swift, based on the Kochava iOS SDK integration guide. This snippet assumes the Kochava SDK has been added to the project via Swift Package Manager or CocoaPods.

import KochavaCore
import KochavaTracker

func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?) -> Bool {
    // Replace "YOUR_KOCHAVA_APP_GUID" with your actual App GUID from the Kochava dashboard
    let configuration = KochavaTracker.Tracker.Configuration(appGUID: "YOUR_KOCHAVA_APP_GUID")
    
    // Optional: Configure logging for debugging purposes
    configuration.logLevel = .debug
    
    // Start the Kochava Tracker
    KochavaTracker.Tracker.shared.configure(with: configuration)
    
    // Example: Track a custom event
    KochavaTracker.Tracker.shared.trackEvent(withEventName: "AppOpened", eventProperties: ["source": "cold_start"])
    
    return true
}

For Android applications, a similar process involves adding the Kochava SDK dependency to the build.gradle file and initializing the SDK within the application's main activity or application class. The Android SDK integration documentation provides detailed instructions.

import com.kochava.tracker.Tracker
import android.app.Application

class MyApplication : Application() {

    override fun onCreate() {
        super.onCreate()

        // Replace "YOUR_KOCHAVA_APP_GUID" with your actual App GUID
        val config = Tracker.Configuration("YOUR_KOCHAVA_APP_GUID")

        // Optional: Configure logging for debugging purposes
        config.logLevel = Tracker.LogLevel.DEBUG

        // Start the Kochava Tracker
        Tracker.configure(config)

        // Example: Track a custom event
        Tracker.trackEvent(Tracker.Event.build("AppOpened").addCustomValue("source", "cold_start"))
    }
}

After initialization, developers can use the SDK to track various in-app events, such as purchases, registrations, or content views, by calling the appropriate tracking methods provided by the Kochava SDK. This data is then sent to the Kochava platform for attribution, analysis, and reporting.