Custom AI agent · Documents & Data
AI Report Automation Agent for Mobile App Companies
See what changed around each release, with the metric definitions in view.
Turn approved app events, release records and quality exports into consistent adoption, retention and release reports with metric definitions your product team can review.
- Review activation and retention trends using agreed cohorts, windows and denominators.
- Compare release periods while keeping app versions, event changes and data gaps visible.
- Give product and operations teams a repeatable report with human review before sharing.
Starting at $300 USD/month
From $300 USD/month. Final pricing depends on platforms, data sources, event volume, metric definitions, reporting cadence, integrations and review requirements. Access and data handling are agreed before connection.
What is an AI report automation agent for mobile app companies?
An AI report automation agent for mobile app companies that turns approved product analytics and release operations data into recurring, reviewable reports. It can organize event aggregates, app version and release records, and approved quality exports into views of activation, feature adoption, retention and release-period changes. The team defines event names, cohort rules, time windows and denominators so each report explains how its measures were calculated. It can flag missing events, schema changes and incomplete periods for review. The agent summarizes observed data; it does not establish that a release caused a change, predict individual user behavior, or decide what to build. Data sources, identifiers, access and retention are scoped with the company before setup.
Product reporting built around your event model
Assemble release-period reports
Summarize activation and feature adoption
Review cohort retention trends
Surface instrumentation and data gaps
Where it can help
Weekly release health review
Monthly activation and retention summary
Instrumentation change audit
How it works
A step-by-step workflow your team can review before launch.
Define metrics and reporting questions
Approve data sources and access
Map versions and validate event coverage
Generate reports for team review
Built around your business
What we configure
- iOS and Android source mapping, including platform-specific event differences
- Company event taxonomy, activation steps, cohort rules and metric denominators
- Release calendars, phased rollout windows, app versions and reporting periods
- Aggregate views by platform, market, app version or acquisition cohort where approved
- Report cadence, recipients, data freshness checks and human approval steps
What we need from you
- Authorized access to analytics exports or APIs and release records included in scope
- A maintained event dictionary with owners for event and property definitions
- Stable app version, platform, timestamp and event fields needed for agreed reports
- Approved aggregation, minimum cohort sizes and data retention rules
- A product analytics owner to validate metrics, source gaps and report distribution
Clear boundaries before launch
What it will not do
This product summarizes approved product and release data for human review. It does not prove that a release, feature or campaign caused a change; attribution depends on the company's methodology and source data. It does not predict individual behavior, create sensitive user profiles, make product-roadmap decisions, modify app code, ship releases, or contact users. It should use aggregate or appropriately pseudonymized data and omit direct identifiers when they are not necessary. Data connections, permissions, retention and any regulated or personal data handling require explicit review and approval. Integrations and reporting scope are confirmed before work begins.
How success is measured
Agree a baseline and definitions before comparing periods. Depending on source coverage, track event completeness, report preparation time, activation-step completion rates, cohort return rates, release-period quality indicators and correction frequency. Show denominators, cohort sizes, app versions and missing data. Treat trends as descriptive evidence; validate possible explanations with the responsible product and analytics teams.
Frequently asked questions
Which data sources can the agent use?
Potential sources include approved product analytics exports, release calendars, app version records and selected crash or quality summaries. Available integrations depend on your systems, permissions and agreed scope.
Can it tell us whether a feature caused retention to improve?
No. It can summarize observed measures using your chosen comparison method, but it cannot establish causality. Experiment design and interpretation remain with your product analytics team.
Does it analyze individual users?
The reporting design favors aggregate data and minimum cohort thresholds. Identifiers and any user-level fields are reviewed and excluded when they are not required for the approved use.
Can it compare iOS and Android releases?
Yes, when source fields and event definitions are sufficiently consistent. Platform-specific differences and missing coverage are shown for review rather than assumed to be equivalent.
Will it find and fix tracking bugs?
It can surface expected events that are missing or changed in supplied data. An analytics or engineering owner must investigate the cause and make any code or instrumentation changes.
How much does a mobile app reporting agent cost?
Pricing starts at $300 USD per month. The final proposal depends on platforms, sources, event volume, report cadence, integration work and review requirements.
