Connectors / Integration
Connect Kochava and Amplitude to Unify Mobile Attribution with Product Analytics
Automatically sync Kochava attribution data into Amplitude to see exactly which campaigns drive your highest-value users.
Kochava + Amplitude integration
Kochava and Amplitude do complementary jobs in your mobile growth stack. Kochava tracks where users come from and how they were acquired. Amplitude shows what those users do once they're inside your product. Together, they answer the full user journey question: which channels bring users in, and which experiences keep them around. Integrating the two removes the blind spots you get when attribution and behavioral analytics live in separate silos.
Marketing and product teams that rely on only one of these tools miss critical context. Without attribution data in Amplitude, your product team can't tell whether a cohort of power users came from a paid campaign, organic search, or a referral program — so replicating that success is mostly guesswork. Without behavioral data from Amplitude feeding back into Kochava, your marketing team can't see which creatives or media partners actually drive users who complete meaningful in-app actions like purchases, subscriptions, or social sharing. Connecting Kochava and Amplitude through tray.ai creates a continuous feedback loop where acquisition data enriches product analytics and engagement data informs smarter campaign optimization. No engineering resources or manual exports required.
Automate & integrate Kochava + Amplitude
Automating Kochava and Amplitude business processes or integrating data is made easy with Tray.ai.
Use case
Enrich Amplitude User Profiles with Kochava Attribution Data
When a new user is first attributed in Kochava — whether from a paid social ad, an influencer link, or an app store search — tray.ai automatically sends that attribution metadata as user properties into Amplitude. Every Amplitude cohort, funnel, and retention chart can then be segmented by install source, campaign name, ad group, creative, and media partner. Your product team gets instant visibility into acquisition context without ever leaving Amplitude.
- Segment Amplitude funnels by Kochava campaign and media partner without manual CSV exports
- Identify which ad creatives produce users with the highest 30-day retention rates
- Give product and marketing teams a single source of truth for user acquisition context
Use case
Send Amplitude Behavioral Events Back to Kochava for LTV Modeling
High-value in-app behaviors tracked in Amplitude — subscription upgrades, feature adoption milestones, repeat purchases — can be automatically forwarded to Kochava as postback events. This enriches Kochava's lifetime value (LTV) models and helps media partners optimize toward users who actually convert, not just users who install. The result is smarter bidding and a lower effective cost per high-quality user.
- Improve ROAS by optimizing campaigns toward users who complete meaningful in-app actions
- Feed richer LTV signals into Kochava's predictive audience models
- Reduce wasted spend on media partners that drive installs but not engagement
Use case
Automate Cohort Syncing for Re-Engagement Campaigns
Amplitude behavioral cohorts — users who completed onboarding but never purchased, or users who were active 30 days ago but have since lapsed — can be automatically synced to Kochava to power re-engagement campaigns. Tray.ai monitors Amplitude cohort membership on a schedule and updates Kochava audience lists in real time, so your retargeting efforts are always aimed at the right users.
- Keep re-engagement audiences fresh without manual exports and re-uploads
- Target lapsed users with personalized creative based on their in-app behavior
- Cut the 24-48 hour lag that's typical of manual audience syncing workflows
Use case
Attribute Revenue Events to Acquisition Channels in Real Time
When a purchase or subscription event fires in your app and Amplitude captures it, tray.ai immediately relays that revenue event back to Kochava with full attribution context. This closes the revenue attribution loop so your marketing dashboards in Kochava reflect actual downstream revenue rather than just installs or sessions. Finance and marketing teams can reconcile campaign spend against attributable revenue without waiting for batch pipelines.
- Real-time revenue attribution eliminates end-of-month reconciliation headaches
- Connect media spend directly to attributable LTV across all channels
- Give finance teams accurate campaign ROI data without engineering involvement
Use case
Trigger Onboarding Workflows Based on Attribution Source
Different acquisition channels often signal different user intent. A user who installed via a paid brand campaign may need a different onboarding experience than one who came through a referral program. By pulling Kochava attribution data into Amplitude, tray.ai can trigger downstream workflows that personalize onboarding sequences, in-app messaging, or push notification campaigns based on the user's original install source.
- Personalize first-session experiences based on the channel and creative that drove the install
- Improve activation rates by matching onboarding flows to user acquisition intent
- Stop sending one-size-fits-all onboarding that ignores why someone installed in the first place
Use case
Monitor Campaign Quality with Automated Anomaly Alerts
By combining Kochava's install volume data with Amplitude's engagement and retention metrics in a single automated workflow, tray.ai can detect when a campaign is driving high install volume but unusually low engagement — a classic sign of low-quality or fraudulent traffic. Automated alerts can notify your growth team in Slack the moment quality metrics fall below defined thresholds, so you can pause campaigns or adjust bids before more budget is wasted.
- Catch low-quality traffic signals hours rather than days after they emerge
- Protect ad budgets from fraud or misaligned audience targeting in real time
- Create accountability between media partners and actual engagement outcomes
Challenges Tray.ai solves
Common obstacles when integrating Kochava and Amplitude — and how Tray.ai handles them.
Challenge
Identity Resolution Across Kochava Device IDs and Amplitude User IDs
Kochava primarily identifies users by mobile device identifiers (IDFV, GAID, or Kochava Device ID), while Amplitude uses a combination of Amplitude User IDs and Device IDs set by your app's SDK. Bridging these identity spaces is technically complex. A mismatch means attribution data lands on the wrong user profile or fails to match entirely, which corrupts cohort analysis.
How Tray.ai helps
Tray.ai's workflow logic lets you build a custom identity resolution layer that maps Kochava device identifiers to Amplitude user IDs using a shared lookup store or your existing identity graph. Conditional branching handles edge cases like anonymous pre-login events, so attribution data lands on the correct Amplitude profile even across login state changes.
Challenge
Handling High-Volume Event Streams Without Data Loss
Mobile apps at scale generate millions of attribution and behavioral events per day. Pushing all of this data between Kochava and Amplitude in real time through a poorly designed integration creates bottlenecks, API rate limit errors, and data loss — particularly during campaign launch spikes when install volumes can surge 10x above baseline.
How Tray.ai helps
Tray.ai is built for high-throughput workflows with native support for batching, retry logic, and rate limit handling. You can configure batch sizes and scheduling intervals to stay within Amplitude's Identify API and Kochava's postback rate limits, and tray.ai's automatic retry mechanism makes sure no events are lost during temporary API outages or throttling windows.
Challenge
Schema Drift Between Kochava Campaign Taxonomy and Amplitude Event Schema
Kochava's attribution parameters — campaign names, ad group labels, creative IDs, media partner slugs — are defined by your marketing team and change frequently with each new campaign launch. When these values change without corresponding updates to the Amplitude property mapping, dashboards break, cohorts become inconsistent, and historical analysis loses continuity.
How Tray.ai helps
Tray.ai workflows include a transformation layer where you can normalize and standardize Kochava attribution fields before they reach Amplitude. Regex-based cleaning, value mapping tables, and fallback defaults mean that even when your marketing team introduces new campaign naming conventions, the data arriving in Amplitude stays consistent and queryable.
Templates
Pre-built workflows for Kochava and Amplitude you can deploy in minutes.
Kochava Install Attribution → Amplitude User Properties Sync
Kochava 
Amplitude Whenever Kochava records a new attributed install, this template automatically finds the corresponding Amplitude user and sets their user properties to include campaign name, media partner, ad group, creative ID, and install type. Every Amplitude user profile stays enriched with full acquisition context from the moment they first appear in your product analytics.
Amplitude Revenue Events → Kochava Postback Forwarding
Amplitude Kochava This template listens for purchase or subscription events logged in Amplitude and automatically forwards them to Kochava as postback events with the original attribution data intact. Media partners and internal dashboards in Kochava receive accurate downstream revenue signals, enabling LTV-based optimization across all acquisition channels.
Amplitude Lapsed-User Cohort → Kochava Re-Engagement Audience Sync
Amplitude Kochava On a configurable schedule, this template queries Amplitude for users who match a defined lapse or churn-risk cohort, then updates a corresponding Kochava audience list to enable retargeting across connected media partners. The audience refreshes automatically so your re-engagement campaigns always reflect current behavioral data.
Kochava + Amplitude Data → Snowflake Attribution Data Mart
Kochava Amplitude This template runs a recurring ETL pipeline that extracts install and attribution events from Kochava and behavioral events from Amplitude, joins them on a shared user or device identifier, and loads the unified dataset into a Snowflake schema built for attribution analysis and LTV reporting.
Campaign Quality Monitor — Kochava Installs vs. Amplitude Engagement Alert
Kochava Amplitude This template continuously compares install volume from Kochava campaigns against early engagement metrics in Amplitude. When a campaign exceeds an install threshold but falls below a minimum engagement rate within the first 24 hours, an automated alert goes to the growth team via Slack, prompting immediate review of creative, targeting, or media partner quality.
New Kochava Attribution → Personalized Amplitude Onboarding Event Trigger
Kochava Amplitude When Kochava attributes a new install to a specific campaign or channel segment, this template sends a custom Amplitude event that triggers a personalized onboarding experience matched to that acquisition context. Users from paid social campaigns, referral programs, and organic search each enter a distinct onboarding funnel, improving activation rates across all channels.
How Tray.ai makes this work
Kochava + Amplitude runs on the full Tray.ai platform
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