Automatically sync mobile attribution data from AppsFlyer into MongoDB's flexible document store. Stop manually exporting campaign performance CSVs, writing custom ETL scripts, or waiting on engineering to update your data pipelines.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every install, conversion, and in-app event from AppsFlyer as structured documents in MongoDB. Redbird maps attribution fields, nested event parameters, and custom dimensions to your MongoDB schema without transformation code.
Daily or hourly snapshots of campaign-level metrics, spend data, and attribution windows flow into MongoDB collections. Build flexible queries across time periods and campaigns without hitting AppsFlyer API rate limits or sacrificing granularity.
Pull user metadata, subscription tiers, or product details stored in MongoDB and append them to AppsFlyer event streams. Create enriched attribution datasets that connect acquisition costs to customer lifetime behavior and revenue segments.
When AppsFlyer marks installs as fraudulent or validates authentic users, automatically update corresponding user documents in MongoDB. Keep operational databases in sync with the latest attribution quality signals for downstream product and billing logic.
Monitor discrepancies between purchase events in your MongoDB application database and attributed conversions in AppsFlyer. Redbird compares event timestamps and user identifiers, flagging attribution gaps that signal tracking issues or configuration drift.
Automatically segment users into MongoDB collections based on acquisition source, campaign ID, or attribution touchpoints. Use these flexible document structures to power personalization engines, retention models, or cross-channel activation without rigid schemas.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize AppsFlyer and MongoDB with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands AppsFlyer's nested attribution payloads and MongoDB's document structure, so you can sync mobile analytics without custom transformations or rigid ETL pipelines.
Redbird interprets AppsFlyer's multi-touch attribution models, event parameter hierarchies, and custom dimensions, then intelligently structures them as MongoDB documents. The platform handles nested arrays for touchpoint sequences, embedded objects for campaign metadata, and dynamic fields for custom event properties—automatically adapting as your tracking plan evolves. No need to predefine every schema or write field mapping code when new attribution parameters appear.
faster than building custom AppsFlyer-to-MongoDB ETL pipelines with field mapping logic
Redbird can pull from AppsFlyer and MongoDB simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either AppsFlyer or MongoDB.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from AppsFlyer into MongoDB, or from MongoDB back into AppsFlyer. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any attribution event in AppsFlyer or document change in MongoDB, then take action across your entire stack.
Fires when AppsFlyer records a new app install with attribution data for campaign, channel, and media source.
Triggers when a user completes a tracked conversion event like purchase, subscription, or registration with revenue value.
Activates when AppsFlyer's fraud suite flags an install as fraudulent or validates it as authentic.
Retrieve aggregated metrics for campaigns, ad sets, or creative variants over custom date ranges and attribution windows.
Extract granular install, in-app event, or postback data with full attribution parameters and custom dimensions.
Fetch retention curves and LTV projections for user cohorts defined by acquisition date, campaign, or channel.
Fires when a new document is added to a specified MongoDB collection, with full access to document fields.
Triggers when specific fields in a document change, like user status, subscription tier, or revenue total.
Activates when a computed metric from MongoDB aggregation pipeline crosses a defined threshold value.
Write new documents or modify existing ones in any collection, with support for nested objects and array operations.
Execute MongoDB aggregation queries to transform, group, or compute metrics across documents and collections.
Retrieve documents matching field criteria, date ranges, or complex query operators for downstream use.
Stop building custom pipelines to sync AppsFlyer attribution data into MongoDB. Redbird connects your mobile analytics to flexible document storage with AI that understands both systems from day one.