Mobile app analytics and attribution are cornerstones of success in today’s competitive digital landscape. Understanding user acquisition, behavior, and the effectiveness of marketing campaigns is paramount. Kochava stands out as a prominent platform offering robust solutions in this domain. However, like any powerful tool, understanding its cost structure, integration process, and potential challenges is crucial for making an informed decision.

This comprehensive guide will delve into the various facets of Kochava’s offerings. We’ll explore its pricing tiers, what’s involved in integrating Kochava into your mobile application, the common hurdles you might encounter, and how partnering with an experienced development agency like us at MetaCTO can ensure a smooth and effective implementation.

How Much Does It Cost to Use Kochava? Unpacking Kochava’s Pricing Tiers

Kochava offers a range of plans designed to cater to different needs, from startups to large enterprises. Understanding these tiers is the first step in assessing the platform’s fit for your budget and requirements.

Kochava Core Plans: Free App Analytics®, Foundation, and Enterprise

Kochava structures its primary offerings into three main plans, each with distinct features and pricing:

1. Free App Analytics® Plan

   • Cost: $0/month
   • Included Volume: 10,000 conversions/month
   • Data Retention: 30 Days (Attributed Events ONLY) This plan is an excellent entry point for new apps, developers on a tight budget, or those wishing to explore basic attribution capabilities without an initial financial commitment. It provides core analytics features to track a significant number of initial conversions and understand early user engagement. However, the 30-day data retention for attributed events only is a key limitation to consider for long-term analysis.

2. Foundation Plan

   • Cost: Starts at $500/month
   • Included Volume: 33,000 conversions/month
   • Data Retention: 90 Days
   • Raw Data Query: Limited to 100 queries/month The Foundation plan is tailored for growing applications that require more extensive data and features. With an increased conversion volume, longer data retention, and limited access to raw data queries, this plan supports more in-depth analysis and campaign optimization. The $500/month starting price reflects its enhanced capabilities over the free tier.

3. Enterprise Plan

   • Cost: Starts at $2,000/month
   • Included Volume: 200,000 MAU/month (Monthly Active Users)
   • Data Retention: 180 Days (with an option for >180 Days available as an ADD-ON)
   • Raw Data Query: Unlimited Designed for large-scale operations and apps with a substantial user base, the Enterprise plan offers the most comprehensive feature set. Notably, its volume is measured in Monthly Active Users (MAU) rather than conversions, catering to apps focused on engagement metrics. The 180-day data retention (extendable via an add-on) and unlimited raw data queries provide maximum flexibility and depth for sophisticated analytics and business intelligence.

Here’s a comparative overview of Kochava’s core plans:

Feature	Free App Analytics®	Foundation	Enterprise
Monthly Cost	$0	Starts at $500	Starts at $2,000
Included Volume	10,000 conversions/month	33,000 conversions/month	200,000 MAU/month
Data Retention	30 Days (Attributed Events)	90 Days	180 Days (Add-on for >180 Days)
Raw Data Query	Not Specified (likely N/A)	Limited to 100 queries/month	Unlimited

It’s important to note that the “starts at” pricing for the Foundation and Enterprise plans suggests that costs can increase based on higher volumes or additional feature requirements beyond the base package.

Specialized Kochava Solutions: Custom Pricing Models

Beyond these standard plans, Kochava provides specialized solutions tailored to specific industry needs, typically with custom pricing:

• Foundry® Strategic Services: This offering comes with custom pricing, with options for hourly or project-based rates. While the facts don’t detail the exact nature of these services, “Strategic Services” suggests high-level consultancy, customized analytics setups, or advanced support from Kochava’s internal experts to maximize the platform’s value.

• Kochava for Publishers: With custom pricing based on CPM (Cost Per Mille/Thousand Impressions) rates tied to transaction volume, this solution is clearly aimed at app publishers looking to optimize their ad monetization strategies and measure the performance of their inventory.

• Search Ads Maven Powered by Kochava: This service features flexible plans based on Apple Search Ads spend. It’s designed to help advertisers maximize their return on investment from Apple’s search advertising platform, likely offering specialized tools and analytics for this channel.

• AIM By Kochava: AIM (potentially an acronym for AI Measurement or a similar concept) also has custom pricing, determined by app models and ad spend. This hints at advanced, possibly AI-driven, capabilities for audience targeting, predictive analytics, or sophisticated ad spend optimization, areas where specialized AI development services can be beneficial.

Key Considerations for Kochava Costs

When evaluating Kochava’s pricing, consider these critical factors:

• Volume Metrics (Conversions vs. MAU): The Free and Foundation plans bill based on conversions, while the Enterprise plan uses Monthly Active Users. Understand which metric aligns best with your app’s scale and primary key performance indicators (KPIs).
• Data Retention: The duration for which your data is stored varies significantly. Longer retention (like the 90 days in Foundation or 180+ days in Enterprise) is crucial for trend analysis, cohort studies, and understanding long-term user value. The Enterprise plan’s add-on for extended retention implies additional costs for this feature.
• Raw Data Access: The ability to query raw data (limited in Foundation, unlimited in Enterprise) is vital for businesses that want to perform custom analyses, integrate Kochava data into their own data warehouses, or use advanced business intelligence tools.
• Scalability: Kochava’s tiered structure allows businesses to scale their investment as their app grows and their needs become more complex.
• Custom Solutions: If your needs are highly specific, particularly around strategic services, publisher tools, Apple Search Ads, or advanced AI-driven insights, one of the custom-priced solutions might be necessary, requiring a direct discussion with Kochava.

What Goes Into Integrating Kochava Into an App? A Technical Overview

Integrating any third-party SDK into a mobile application requires careful planning and execution. Kochava, with its sophisticated attribution and analytics capabilities, is no exception. Here’s a general outline of the integration process:

1. Initial Setup and SDK Integration

The journey begins with creating a Kochava account and configuring your app within their dashboard. This initial setup involves defining basic app information and obtaining API keys or app GUIDs. The core technical task is integrating the Kochava SDK (Software Development Kit) into your mobile application’s codebase. Kochava typically provides SDKs for major platforms like iOS and Android. This step requires development resources familiar with native (Swift/Objective-C for iOS, Java/Kotlin for Android) or cross-platform frameworks (like React Native or Flutter, if supported by Kochava’s SDKs).

2. Event Tracking Configuration

Effective attribution and analytics hinge on tracking the right user actions, known as events. Beyond the standard install event, which Kochava typically tracks automatically upon first launch post-SDK integration, you’ll need to define and implement tracking for other key events. These can include:

• User registrations
• Tutorial completions
• Level achievements in a game
• In-app purchases
• Subscription sign-ups
• Custom events specific to your app’s functionality

Each event needs to be meticulously coded within your app to send data to Kochava, often with associated parameters (e.g., purchase amount, item SKU, user segment). The accuracy of this event tracking directly impacts the quality of insights you’ll receive.

3. Partner Integrations (Self-Attributing Networks - SANs)

Most apps use multiple advertising channels. Kochava allows integration with numerous ad networks and partners, including Self-Attributing Networks (SANs) like Facebook, Google Ads, Twitter, Apple Search Ads, Snapchat, and Yahoo!. Configuring these integrations involves setting up postbacks (server-to-server notifications) or API connections to allow Kochava to claim attributions and share data with these networks. This is a critical area where precision is vital, as misconfigurations can lead to significant data discrepancies, a topic we’ll explore in detail later.

4. Testing and Validation

Once the SDK is integrated and event tracking is implemented, rigorous testing is non-negotiable. This involves:

• Verifying that the SDK initializes correctly.
• Simulating installs and ensuring they are attributed to the correct test campaigns.
• Triggering all custom events and confirming they are recorded accurately in the Kochava dashboard with the correct parameters.
• Testing attribution across different scenarios (e.g., click-through, view-through, different ad networks).
• Validating data flow to and from integrated SANs.

This phase often requires specialized tools for deep linking, ad click simulation, and network traffic inspection.

5. Ongoing Maintenance and Updates

Integration isn’t a one-time task. The mobile ecosystem is dynamic:

• Kochava will release updates to its SDKs to support new OS versions, add features, or fix bugs. Your app will need to be updated accordingly.
• Ad network APIs and postback requirements can change, necessitating adjustments in your Kochava configuration.
• As your app evolves with new features, you’ll need to implement tracking for new events or modify existing ones.
• Regularly monitoring for data discrepancies and troubleshooting issues is an ongoing process.

This technical groundwork is essential for leveraging Kochava’s capabilities. However, the path is often laden with complexities.

The Hidden Costs and Challenges: Why Kochava Integration Can Be Tricky

While Kochava provides powerful tools, integrating it and ensuring data accuracy can be a complex endeavor. These challenges can translate into hidden costs—not just monetary, but also in terms of time, resources, and potentially flawed decision-making if data is misinterpreted.

Discrepancies with App Store Reporting

One common source of confusion is the difference in how app stores and Kochava count “installs” or “conversions.”

• Google Play Store vs. Kochava:

  • Downloads vs. First Launches: The Google Play Store primarily counts downloads of an app. Kochava, on the other hand, typically counts a conversion (an install) when the app is first launched after being downloaded. Not every user who downloads an app will open it, leading to higher numbers in the Play Store console than in Kochava for “installs.”
  • Account vs. Device: The Google Play Store may count downloads based on a Google Play Store ID. If a single user downloads and launches an app on multiple devices using the same Google ID, Kochava would count each as an individual device install, potentially leading to variations.

• iTunes Connect (App Store Connect) vs. Kochava:

  • Downloads vs. First Launches: Similar to Google Play, iTunes Connect counts downloads. Kochava counts first launches. This fundamental difference means iTunes will often report higher numbers.
  • Account vs. Device: By default, iTunes Connect counts downloads based on Apple App Store IDs. Kochava attributes installs to individual devices. A user downloading an app on their iPhone and iPad with the same Apple ID would be one download event for Apple in some views, but two potential installs for Kochava if launched on both.
  • Definition of Conversion (Apple Search Ads context): For Apple Search Ads, Apple considers a download a conversion. Kochava, however, defines a conversion as when a user downloads AND launches the app. So, Apple might report a conversion that Kochava doesn’t if the app isn’t opened post-download.

Navigating the Labyrinth of Self-Attributing Networks (SANs)

Self-Attributing Networks (SANs) like Facebook, Google (whose ecosystem includes tools like GA4 and Firebase Analytics), Twitter, etc., have their own internal tracking and attribution methodologies. Reconciling their data with a centralized MMP like Kochava is a primary challenge.

• General SAN Discrepancies:

  • Limited vs. Holistic View: SANs only have visibility into campaigns run on their own platforms. Kochava, as an MMP, aims to have a holistic view across all marketing channels. This means Kochava might attribute an install to a different network or channel than the SAN, even if the SAN also claims it, typically based on the last touchpoint (e.g., a more recent eligible click or impression from another source).
  • Impact on Post-Install Events: When Kochava attributes an install to a different network than a SAN, subsequent post-install events (like purchases or registrations) generated by that user will also be attributed to the “winning” network in Kochava. The SAN, however, might still report these events as driven by its campaign, leading to discrepancies in event counts for specific channels.

• Specific SAN Challenges:

  • Install Time Reporting (Facebook, Google, Twitter, Yahoo!): Many SANs (Facebook, Google, Twitter, Yahoo!) report the install date/time as the time of the ad click. Kochava, conversely, reports the install date/time as the actual time of the first app launch. This can lead to installs appearing on different dates in respective dashboards, complicating daily cohort analysis.
  • Facebook:
    • Kochava offers a setting for a minimum time to reengagement window for events (default is 24 hours). If event postbacks to Facebook are set to “send all,” Facebook might receive and count events that Kochava doesn’t consider new reengagements if they occur within this window. This can result in higher event counts in the Facebook dashboard compared to Kochava for reengagement campaigns.
    • Using both the Facebook SDK for event tracking and Kochava event postbacks to Facebook can lead to duplicate event counting within Facebook’s system, as it receives the same event data from two sources.
    • In cases of latent data (delayed reporting), using both the Facebook SDK and Kochava can cause discrepancies in install counts.
  • Google:
    • Google does not report installs originating from Google Search-specific campaigns on iOS to Kochava. These installs will appear in Google’s dashboard but will be missing from Kochava’s attributed installs from Google.
  • Twitter:
    • If a Twitter user has set is_granular_data_sharing_allowed to false in their Twitter settings (opting out of detailed data sharing), Twitter will still make attribution claims on its end but will not share this device-level data with MACT (Mobile Ad Measurement and Analytics Technology) partners like Kochava. This results in higher numbers on the Twitter platform.
    • Advertisers who do not join Twitter’s Advanced Mobile Measurement Program (AMMP) will likely see discrepancies, as Twitter cannot provide the necessary data for accurate measurement and complete device-level data to Kochava without AMMP participation.
    • Misaligned lookback windows between Kochava’s settings and those in the Twitter Ads dashboard can cause Twitter to claim installs that Kochava rejects (or vice-versa) if the converting click/impression falls outside one platform’s window but inside the other’s.
  • Apple Search Ads (ASA):
    • Kochava de-duplicates installs. If a user had previously downloaded the app organically (without an ad click) and later clicked an Apple Search Ad and re-downloaded/launched, Apple would log this as a conversion for ASA. Kochava, recognizing the device from a prior organic install, might not attribute it to ASA, depending on attribution settings and the freshness of the organic install.
    • Similarly, if a user deleted the app, then clicked an Apple Search Ad, and reinstalled, Apple logs it as a conversion. Kochava’s de-duplication logic may keep the device ID tied to its original install source (e.g., organic), not crediting ASA.
  • DoubleClick (now part of Google Marketing Platform):
    • DoubleClick does not claim installs from Search campaigns to Kochava. These installs will appear in DoubleClick’s reporting but not as DoubleClick-attributed installs in Kochava.
  • Yahoo! Media (Verizon Media):
    • Like Twitter, misaligned lookback windows between Kochava and the Yahoo! dashboard can lead to Yahoo! surfacing installs that Kochava doesn’t attribute to Yahoo!, or vice-versa.
  • Snapchat:
    • Snapchat’s default lookback logic for displaying conversions within its dashboard (e.g., 28-day click, 1-day view) might differ from the lookback windows Snapchat uses when claiming conversions to Kochava (which could be, for example, 28-day click and 28-day view). This discrepancy can lead to Kochava showing a greater number of Snapchat-attributed conversions than what is seen in the default Snapchat ads manager view if Snapchat is claiming on a longer view-through window than it displays by default.
  • Huawei:
    • Huawei AppGallery (or its ad platform) might show an install, but Kochava, having a broader view, could have awarded the attribution to another ad source that had a click or impression closer to the time of install.
    • Depending on the lookback window settings within Kochava, events claimed by Huawei might be shown as organic in Kochava if Huawei’s claim (e.g., a click) falls outside Kochava’s configured attribution window for that source.

Understanding these nuances is not just about data reconciliation; it’s about accurately assessing channel performance and making sound marketing budget allocations. Misinterpreting these discrepancies can lead to over or under-investing in certain channels.

Cost to Hire a Team to Setup, Integrate, and Support Kochava

Given the complexities outlined, many businesses opt to engage expert assistance for Kochava integration and ongoing management. While Kochava itself doesn’t provide direct facts on the cost of hiring third-party teams, we can make an informed estimate based on industry standards and the nature of the work.

Factors Influencing Integration Costs:

• App Complexity: A simple app with few events will be less costly to integrate than a complex e-commerce or gaming app with numerous custom events, purchase flows, and user segments.
• Platform(s): Integrating Kochava into both iOS and Android apps will naturally cost more than a single-platform integration. Cross-platform apps (React Native, Flutter) might have their own nuances.
• Number of Ad Networks and Partners: Each SAN and ad network integration adds to the setup and testing time.
• Data Validation and QA Requirements: The more rigorous the testing and Quality Assurance process, the more time (and thus cost) will be involved.
• Existing Technical Debt: If the app’s codebase is messy or poorly documented, integration can take longer.
• Team Expertise: Rates for development agencies or consultants vary based on experience, location, and specialization.

Estimating Costs:

• Freelancers: Hiring individual freelance developers might range from $50 to $150+ per hour, depending on their Kochava-specific experience and location. A straightforward integration could take 20-40 hours, translating to $1,000 - $6,000. More complex integrations could easily double or triple this.
• Development Agencies: Agencies typically charge higher hourly rates ($100 - $250+ per hour) but often bring a team of specialists (developers, QA, project managers) and established processes, sometimes guided by fractional CTO oversight for strategic alignment. A full Kochava integration project managed by an agency could range from $5,000 to $20,000+, depending on the factors above. For highly complex apps with extensive event tracking and multiple SANs, this could be higher.

Ongoing Support and Maintenance:

Beyond initial setup, ongoing support might involve:

• SDK updates
• Troubleshooting discrepancies
• Adding new event tracking
• Modifying configurations

This can be handled on an hourly retainer basis or as ad-hoc project work. Expect to budget a few hundred to a few thousand dollars per month for ongoing support, depending on the level of activity and complexity.

The Value of Authorized Partners:

Kochava has an Authorized Partner Agency Program. Engaging with such a partner, like us at MetaCTO, offers distinct advantages. These agencies have:

• Invested time to educate their teams on the key tenets of measurement and attribution science.
• A deep understanding of Kochava’s capabilities and tools.
• Experience in helping brands drive meaningful customer engagement and growth using Kochava.

While the facts don’t specify if this directly impacts cost, working with an authorized partner can lead to a more efficient, accurate, and ultimately more cost-effective integration due to their specialized expertise and familiarity with best practices and potential pitfalls. They are equipped to help marketers achieve maximum success with the platform.

MetaCTO: Your Expert Partner for Seamless Kochava Integration

At MetaCTO, we have over 20 years of app development experience, having launched 120+ successful projects and supported clients in raising $40M+ in fundraising. Our expertise isn’t just in building apps; it’s in ensuring they are equipped with the best tools for growth and analysis. Integrating sophisticated platforms like Kochava is a core part of our service offering, particularly within our app growth and mobile app development services.

Why Is Kochava Integration Hard?

As detailed earlier, the intricacies are manifold:

• Technical SDK Implementation: Requires native or cross-platform development skills.
• Precise Event Mapping: Defining and coding every relevant user action correctly.
• Complex SAN Configurations: Ensuring accurate data flow and attribution logic with networks like Facebook, Google, etc.
• Discrepancy Resolution: The biggest ongoing headache. Understanding why Kochava’s numbers differ from app stores or individual ad network dashboards requires deep expertise in how each platform counts and attributes. This involves understanding lookback windows, attribution models, time zone differences, data sharing permissions, and platform-specific reporting quirks (like Google not sending iOS Search campaign data, or Twitter’s AMMP requirements).
• Maintaining Data Integrity: Ensuring that the data collected is clean, accurate, and actionable is an ongoing challenge.

How MetaCTO Streamlines Kochava Integration:

1. Expert Technical Implementation: Our seasoned developers are proficient in integrating SDKs like Kochava’s across iOS, Android, and cross-platform frameworks. We ensure the SDK is correctly initialized and that all necessary permissions and configurations are in place.
2. Strategic Event Tracking Design: We don’t just implement events; we work with you to define a strategic event tracking plan that aligns with your business goals and KPIs. This ensures you’re collecting meaningful data from day one.
3. Mastery of SAN Integrations: We have hands-on experience configuring and troubleshooting integrations with major Self-Attributing Networks. We understand the nuances of postbacks, API setups, and lookback window alignment, minimizing discrepancies from the outset.
4. Proactive Discrepancy Management: Our deep understanding of the common (and uncommon) causes of data discrepancies means we can anticipate many issues. When discrepancies do arise, we have the investigative skills to pinpoint the cause—be it differing definitions, reporting lags, SDK conflicts, or misconfigured settings—and implement solutions.
5. Rigorous QA and Validation: We conduct thorough testing to ensure every event fires correctly and data flows accurately to the Kochava dashboard and any connected partner platforms.
6. Ongoing Support and Optimization: The app landscape is always changing. We provide ongoing support to manage SDK updates, adapt to changes in ad network requirements, and refine your event tracking strategy as your app evolves.

By partnering with MetaCTO, you’re not just hiring developers; you’re engaging a team that understands the “why” behind the “what” of mobile analytics. We know that accurate attribution is the bedrock of effective user acquisition and monetization strategies. We help you avoid the common pitfalls of Kochava integration, saving you time, reducing frustration, and ensuring you can trust the data that drives your business decisions. Our goal is to empower you to utilize Kochava to its full potential, turning raw data into actionable insights for sustainable app growth.

Conclusion: Navigating Kochava’s Costs and Complexities

Kochava offers a powerful suite of tools for mobile app analytics and attribution, with pricing plans ranging from a free tier to comprehensive enterprise solutions. The direct costs involve the monthly subscription fees for plans like Free App Analytics® ($0/month), Foundation (starting at $500/month), and Enterprise (starting at $2,000/month), along with custom pricing for specialized services like Foundry® Strategic Services, Kochava for Publishers, Search Ads Maven, and AIM By Kochava.

However, the true cost of using Kochava extends beyond subscription fees. Integrating the platform into your app involves technical development effort for SDK implementation and event tracking. More significantly, navigating the potential discrepancies between Kochava’s data and reports from app stores (Google Play, iTunes Connect) and Self-Attributing Networks (Facebook, Google, Twitter, etc.) requires deep expertise and careful configuration. These discrepancies arise from differing definitions of installs, attribution methodologies, lookback windows, and platform-specific reporting behaviors.

Hiring a team to manage Kochava setup, integration, and ongoing support is a common strategy to mitigate these challenges. While direct costs for such services vary based on project complexity and agency rates, investing in expert assistance can prevent costly errors and ensure data accuracy.

At MetaCTO, we specialize in precisely this. With our extensive experience in mobile app development and deep understanding of analytics platforms like Kochava, we help businesses seamlessly integrate these tools, troubleshoot data challenges, and unlock actionable insights. We’ve seen firsthand how complex these integrations can be and how crucial accurate data is for making informed marketing decisions.

If you’re considering Kochava for your mobile app, or if you’re struggling with an existing integration, don’t let the complexities hold you back from harnessing its power. Talk with a Kochava expert at MetaCTO today. We can help you understand the best plan for your needs, implement a robust and accurate integration, and ensure you get the most out of your mobile analytics investment. Let us help you turn data into growth.

Last updated: 1 July 2025