Connectors / Marketing · Connector
Automate Mobile Attribution & Marketing Analytics with Kochava Integrations
Connect Kochava's mobile measurement data to your entire marketing stack and get attribution automation running in real time.
What can you do with the Kochava connector?
Kochava is a mobile measurement and attribution platform that tracks app installs, in-app events, and campaign performance across every major ad network. Integrating Kochava with your CRM, data warehouse, and marketing tools cuts out manual data exports and keeps your attribution data flowing where it needs to be. With tray.ai, teams can build workflows that act on Kochava's attribution signals in real time — optimizing spend, suppressing audiences, and enriching customer profiles automatically.
Automate & integrate Kochava
Automating Kochava business processes or integrating Kochava data is made easy with Tray.ai.
Use case
Real-Time Attribution Data Sync to Data Warehouse
Push Kochava attribution events — installs, re-engagements, and in-app purchase events — directly into your data warehouse (Snowflake, BigQuery, or Redshift) as they happen. No more waiting on scheduled CSV exports. Your analytics team gets fresh attribution data for LTV modeling and cohort analysis, and automated pipelines remove the risk of data loss from manual handling.
- Cut data latency from hours to seconds by eliminating manual CSV exports
- Maintain a complete, queryable record of every install and in-app event by campaign source
- Run LTV and cohort analysis without waiting for nightly batch jobs
Use case
Automated Audience Suppression Across Ad Networks
When Kochava registers a successful conversion — an app install or first purchase — automatically suppress that user from active acquisition campaigns on Facebook, Google, or TikTok. You stop wasting spend on users who've already converted, and ROAS improves. tray.ai listens for Kochava postback events and fires the suppression workflow immediately.
- Stop serving acquisition ads to users who have already installed or purchased
- Cut wasted ad spend the moment a conversion is detected
- Keep suppression lists current without manual audience uploads
Use case
CRM Enrichment with Mobile Attribution Data
Enrich your Salesforce, HubSpot, or Braze customer records with Kochava attribution data — capturing the exact campaign, ad set, and creative behind each app install or registration. Sales and lifecycle marketing teams get full visibility into which paid channels produce the highest-quality users. Connect install source directly to CRM deal records to tie downstream revenue back to specific campaigns.
- Attach first-touch attribution data to every contact or user profile in your CRM
- Give sales teams the context to prioritize leads from high-converting acquisition channels
- Close the loop between paid acquisition and downstream revenue reporting
Use case
Fraud Alert Escalation and Reporting Automation
Kochava's fraud detection tools flag suspicious installs and invalid traffic in real time. With tray.ai, those fraud alerts automatically trigger Slack notifications to your marketing ops team, log flagged events to a Jira board for investigation, and pause associated campaigns via ad network APIs. The gap between fraud detection and action shrinks from days to minutes.
- Get instant Slack or email alerts when Kochava flags fraudulent install activity
- Auto-create Jira or Asana tickets for fraud investigation with full event context
- Pause campaigns on connected ad networks before budget is wasted
Use case
Cross-Channel Campaign Performance Reporting
Aggregate Kochava campaign performance metrics — installs, CPIs, in-app events, and revenue — across all connected ad networks and push consolidated reports into Looker, Tableau, or Google Sheets on a set schedule. Instead of pulling reports from multiple ad network dashboards by hand, everything flows through Kochava's API and gets distributed automatically. Stakeholders get accurate, formatted performance digests without lifting a finger.
- Consolidate multi-network performance data into a single reporting destination automatically
- Schedule daily or weekly performance digests delivered directly to stakeholders
- Eliminate manual dashboard logins across multiple ad network portals
Use case
User Lifecycle Trigger Automation via In-App Events
Use Kochava in-app event postbacks to trigger downstream lifecycle workflows. When a user completes onboarding, makes a first purchase, or hits a loyalty milestone, automatically fire a personalized push notification via Braze, update their segment in Amplitude, or create a follow-up task in your CRM. Kochava's behavioral signals connect directly to your engagement and retention stack — no engineering tickets required.
- Trigger personalized engagement campaigns the moment a key in-app event fires
- Update user segments and profiles across your stack in real time
- Reduce dependency on engineering for connecting attribution events to lifecycle tools
Build Kochava Agents
Give agents secure and governed access to Kochava through Agent Builder and Agent Gateway for MCP.
Retrieve App Analytics Data
Data SourcePull aggregated performance metrics — installs, sessions, revenue — from Kochava to give an agent current context on app performance. Downstream workflows and reports can then act on real numbers instead of guesses.
Fetch Campaign Performance Reports
Data SourceQuery Kochava for campaign-level attribution data including clicks, conversions, and ROI across ad networks. An agent can use this to surface underperforming campaigns or put together executive summaries.
Look Up Attribution Data for Events
Data SourceRetrieve attribution details for specific in-app events like purchases or sign-ups, tracing them back to their originating media source. Useful when an agent needs to answer which channels are actually driving user actions worth caring about.
Query Audience Segments
Data SourceAccess defined audience segments in Kochava to see how users are grouped by behavior or attribution. An agent can use this to personalize downstream marketing actions or push audiences to other platforms.
Monitor Fraud Detection Reports
Data SourcePull fraud detection and invalid traffic reports from Kochava to spot suspicious install or engagement activity. An agent can flag anomalies automatically and alert the right people or pause affected campaigns.
Retrieve Cohort Analysis Data
Data SourceFetch cohort-based retention and monetization data to understand how different user groups behave over time. An agent can use this to pick out high-value cohorts and recommend where to reallocate budget.
Create or Update Audience Segments
Agent ToolProgrammatically create or modify audience segments in Kochava based on behavioral triggers or data from other connected systems. This lets an agent keep targeting audiences in sync with current user data.
Register Custom Events
Agent ToolSend custom in-app event definitions to Kochava so new tracking points are properly configured. An agent can handle this setup automatically when new features or campaigns launch, cutting down on manual configuration work.
Trigger Data Export Jobs
Agent ToolKick off raw data export jobs in Kochava to pull granular event-level data into a warehouse or analytics pipeline. An agent can schedule or trigger these exports based on business schedules or how fresh the data needs to be.
Update Postback Configurations
Agent ToolModify postback or S2S (server-to-server) settings in Kochava to route attribution signals to the right advertising partners. An agent can handle updates automatically when new partners come on board or campaign structures shift.
Pause or Activate Tracker Links
Agent ToolEnable or disable Kochava tracker links in response to campaign performance thresholds or fraud signals. An agent can take protective action on its own without a campaign manager having to step in.
Sync Attribution Data to CRM
Agent ToolPush Kochava attribution and event data into a connected CRM or marketing platform to enrich user profiles with mobile engagement context. An agent can run this sync so sales and marketing teams always have accurate acquisition channel data to work from.
Ready to solve your Kochava integration challenges?
See how Tray.ai makes it easy to connect, automate, and scale your workflows.
Challenges Tray.ai solves
Common obstacles when integrating Kochava — and how Tray.ai handles them.
Challenge
Postback Data Arrives Across Dozens of Disconnected Systems
Kochava collects attribution signals from every major ad network, but getting that data into CRMs, data warehouses, CDPs, and lifecycle tools typically means custom code or brittle point-to-point integrations that break and need babysitting. Marketing engineering teams burn time debugging pipelines instead of doing growth work.
How Tray.ai helps
tray.ai's visual, low-code workflow builder connects Kochava postback webhooks to any downstream system without custom infrastructure. Teams can route, transform, and fan out attribution data to multiple destinations from a single workflow — and non-engineers can maintain these flows on their own.
Challenge
Fraud Detection Alerts Don't Automatically Trigger Action
Kochava surfaces fraud signals, but most teams rely on manual monitoring to act — which means campaigns can keep burning budget on invalid traffic for hours or days before anyone responds. That gap has a real dollar cost.
How Tray.ai helps
tray.ai turns Kochava fraud events into immediate automated actions. The moment a fraud flag arrives via webhook, tray.ai can notify your team on Slack, pause the relevant campaign via API, and log a ticket for investigation — all at once, in seconds.
Challenge
Attribution Data Is Siloed Away from CRM and Sales Tools
Mobile attribution data often stays locked inside Kochava and analytics dashboards, so sales and lifecycle teams have no visibility into which acquisition channels produce the most valuable users. Without that connection, tying downstream revenue back to specific campaigns just isn't possible.
How Tray.ai helps
tray.ai maps Kochava install and event data directly to CRM records in Salesforce or HubSpot, enriching contacts with campaign source, ad set, and creative details at the moment of acquisition. The loop between paid spend and pipeline closes without any manual data entry.
Kochava Install Event → Snowflake Pipeline
Kochava 
Snowflake Automatically captures every Kochava install postback and inserts structured attribution records into a Snowflake table, keeping your data warehouse in sync with real-time acquisition activity.
Kochava Conversion → Facebook Audience Suppression
Kochava 
Facebook When Kochava confirms an app install or purchase event, automatically adds the converted user's device ID or email to a Facebook Custom Audience exclusion list to prevent redundant acquisition spend.
Kochava Fraud Alert → Slack + Jira Escalation
Kochava 
Slack 
Jira When Kochava's fraud protection engine flags an invalid install or suspicious traffic pattern, this template fires an instant Slack alert to the marketing ops channel and creates a Jira ticket with full event details for investigation.
Kochava In-App Event → Braze User Profile Update
Kochava 
Braze Syncs Kochava in-app event data — tutorial completion, first purchase, subscription start — to Braze user profiles in real time, so lifecycle campaign triggers fire based on actual behavioral milestones.
Scheduled Kochava Performance Report → Google Sheets + Slack
Kochava 
Google Sheets Slack Pulls daily campaign performance metrics from Kochava's reporting API each morning, writes them to a Google Sheet, and posts a formatted summary to a Slack channel so stakeholders have instant visibility without logging into the dashboard.
Kochava CPI Threshold Breach → Campaign Pause via Google Ads
Kochava 
Google Ads Slack Monitors Kochava cost-per-install data against defined thresholds and automatically pauses corresponding Google Ads campaigns when CPI exceeds acceptable limits, protecting budget from underperforming placements.
How Tray.ai makes this work
Kochava plugs into the whole Tray.ai platform
Intelligent iPaaS
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Kochava — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Kochava actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Related integrations
Hundreds of pre-built Kochava integrations ready to deploy.
See Kochava working against your stack.
We'll walk through a tailored demo with your systems plugged in.