Kochava 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 process 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.
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.
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.
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.
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.
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.
Use case
Budget Pacing Alerts and Automated Bid Adjustments
Monitor Kochava's cost and install data against daily or monthly budget caps and automatically send pacing alerts when spend velocity goes off-track. When CPI thresholds are breached, tray.ai can call ad network APIs to adjust bids or pause underperforming campaigns. Your media budgets stay on track without someone manually checking dashboards all day.
Build Kochava Agents
Give agents secure and governed access to Kochava through Agent Builder and Agent Gateway for MCP.
Data Source
Retrieve App Analytics Data
Pull 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.
Data Source
Fetch Campaign Performance Reports
Query 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.
Data Source
Look Up Attribution Data for Events
Retrieve 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.
Data Source
Query Audience Segments
Access 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.
Data Source
Monitor Fraud Detection Reports
Pull 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.
Data Source
Retrieve Cohort Analysis Data
Fetch 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.
Agent Tool
Create or Update Audience Segments
Programmatically 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.
Agent Tool
Register Custom Events
Send 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.
Agent Tool
Trigger Data Export Jobs
Kick 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.
Agent Tool
Update Postback Configurations
Modify 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.
Agent Tool
Pause or Activate Tracker Links
Enable 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.
Agent Tool
Sync Attribution Data to CRM
Push 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.
Get started with our Kochava connector today
If you would like to get started with the tray.ai Kochava connector today then speak to one of our team.
Kochava Challenges
What challenges are there when working with Kochava and how will using Tray.ai help?
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 Can Help:
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 Can Help:
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 Can Help:
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.
Challenge
Audience Suppression Lists Fall Out of Sync with Actual Conversions
Manually uploading converted users to exclusion audiences on Facebook, Google, or TikTok introduces delays of hours or days. During that window, acquisition ads keep running to users who've already installed or purchased — one of the most common sources of wasted programmatic spend.
How Tray.ai Can Help:
tray.ai automates suppression list updates the instant a Kochava conversion postback fires. Converted users get added to exclusion audiences across connected ad networks in real time, with no manual uploads and no delay.
Challenge
Reporting Requires Manual Aggregation Across Multiple Ad Network Dashboards
Even with Kochava centralizing attribution data, getting performance reports to stakeholders still often means manual pulls, spreadsheet formatting, and copy-pasting into email or Slack. It's slow, error-prone, and gets worse as your channel count grows.
How Tray.ai Can Help:
tray.ai schedules automated reporting workflows that query Kochava's reporting API, transform the data into stakeholder-friendly formats, populate Google Sheets or BI tools, and deliver summaries to Slack or email — replacing the manual reporting workflow entirely.
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Integrate Kochava With Your Stack
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Start using our pre-built Kochava templates today
Start from scratch or use one of our pre-built Kochava templates to quickly solve your most common use cases.
Template
Kochava Install Event → Snowflake Pipeline
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.
Steps:
- Receive Kochava install postback via tray.ai webhook endpoint
- Parse and normalize attribution fields including campaign, ad set, creative, and network
- Insert structured record into the designated Snowflake installs table
Connectors Used: Kochava, Snowflake
Template
Kochava Conversion → Facebook Audience Suppression
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.
Steps:
- Listen for Kochava conversion postback event via tray.ai trigger
- Extract user identifier (IDFA, GAID, or hashed email) from the event payload
- Add identifier to the specified Facebook Custom Audience exclusion list via API
Connectors Used: Kochava, Facebook
Template
Kochava Fraud Alert → Slack + Jira Escalation
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.
Steps:
- Receive fraud detection event from Kochava via webhook
- Send formatted Slack message to marketing ops channel with fraud event summary
- Create Jira issue in the fraud investigation project with full postback payload attached
Connectors Used: Kochava, Slack, Jira
Template
Kochava In-App Event → Braze User Profile Update
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.
Steps:
- Capture in-app event postback from Kochava webhook
- Map event type and properties to corresponding Braze custom event schema
- Fire Braze Track User API call to update the profile and trigger eligible canvases
Connectors Used: Kochava, Braze
Template
Scheduled Kochava Performance Report → 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.
Steps:
- Trigger workflow on daily schedule and call Kochava reporting API for previous day metrics
- Write campaign performance rows (installs, CPI, events, revenue) to Google Sheets
- Post formatted performance summary message to designated Slack channel
Connectors Used: Kochava, Google Sheets, Slack
Template
Kochava CPI Threshold Breach → Campaign Pause via Google Ads
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.
Steps:
- Poll Kochava reporting API on a scheduled interval and evaluate CPI by campaign
- Identify campaigns where CPI exceeds configured threshold
- Pause offending campaigns via Google Ads API and send Slack notification with details
Connectors Used: Kochava, Google Ads, Slack