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Improvado gives your AI agent direct access to AppsFlyer attribution and mobile marketing data through an MCP server. Query install sources, ROAS, LTV cohorts, and re-engagement performance across all apps in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Skip the AppsFlyer dashboard. Ask your AI agent for install attribution, cohort ROAS, LTV by source, or re-engagement performance across every app, campaign, and date range. The MCP server handles AppsFlyer API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read AppsFlyer data — it connects attribution insights to campaign actions. Adjust audience rules, update postback configurations, trigger audience exports, and manage retargeting lists through natural language.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on ROAS, fraud rates, and install quality. Your AI agent monitors AppsFlyer data continuously and flags anomalies — from sudden CPI spikes to fraud cluster patterns — before they damage campaign budgets.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read AppsFlyer data — it connects attribution insights to campaign actions. Adjust audience rules, update postback configurations, trigger audience exports, and manage retargeting lists through natural language.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Calculating true LTV by acquisition channel requires cohort analysis across multiple install dates and in-app event windows. AppsFlyer's native cohort reports answer specific predefined questions but can't handle ad-hoc cross-cohort comparisons without building custom reports.
Improvado models AppsFlyer cohort data with full event-level granularity. AI agents can query LTV, ROAS, and retention for any cohort combination — install channel, date range, app version, or geography — in a single natural language question.
Teams managing multiple apps can't compare attribution performance across apps without downloading separate exports for each app ID. Building an apples-to-apples comparison of campaign efficiency across a portfolio of apps is a multi-hour manual process.
Improvado aggregates AppsFlyer data across all app IDs in a unified data model. AI agents can query and compare attribution metrics across every app in a portfolio in a single question — install sources, ROAS, retention, and fraud rates side by side.
AppsFlyer's Protect360 identifies fraudulent installs, but the fraud data lives in a separate report from campaign performance data. Media buyers see high install counts and keep spending on fraudulent sources while the fraud report waits to be reviewed.
Improvado joins AppsFlyer fraud data with campaign spend data automatically. AI agents surface the real CPI and ROAS after fraud adjustment for every network in real time — so spend decisions are based on quality installs, not gross install counts.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
AppsFlyer doesn't offer a native MCP server. Improvado provides a hosted MCP server that connects AppsFlyer attribution data to Claude, Cursor, ChatGPT, and any MCP-compatible AI tool. Authentication, Pull API pagination, and data normalization are handled automatically.
Install attribution data with media source and campaign attribution, cohort performance (D1, D7, D30, D90 retention and ROAS), LTV by acquisition source and segment, re-engagement campaign performance, fraud detection metrics from Protect360, and custom in-app event data. Improvado normalizes AppsFlyer's Pull API data model across all apps.
Any tool supporting the Model Context Protocol — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is most commonly used due to its native MCP support and strong analytical reasoning for attribution questions.
Yes. Improvado connects 500+ data sources through the same MCP server. Teams can combine AppsFlyer attribution data with actual spend from Meta, Google, Apple Search Ads, TikTok, and other networks — enabling true blended ROAS calculation without manual data joins.
Improvado uses AppsFlyer's Pull API with incremental sync to handle large install and event volumes. Data is pre-aggregated by cohort, source, and campaign so AI agents get instant answers even for apps with millions of daily events. Rate limits are managed server-side.
Yes. Improvado is SOC 2 Type II certified. AppsFlyer API tokens are stored in an encrypted vault. User-level attribution data is handled in compliance with GDPR, CCPA, and ATT framework requirements. Data masking policies can be applied to restrict access to individual device identifiers.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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