Redbird AI connects your mobile attribution data with social listening insights automatically. Stop manually reconciling campaign performance with brand sentiment, exporting CSVs between platforms, or building custom scripts to understand how paid acquisition drives social conversation.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When Brandwatch detects conversation spikes around your app or campaigns, Redbird automatically pulls corresponding attribution data from AppsFlyer—installs, ROAS, channel breakdown—and appends it to social listening reports. Marketing teams see which campaigns drive both installs and positive brand sentiment without toggling between platforms.
When Brandwatch identifies a negative sentiment trend or competitive threat in specific regions or demographics, Redbird automatically updates retargeting audiences in AppsFlyer to adjust messaging or pause campaigns. Performance marketing teams respond to brand perception changes in real-time without manual monitoring.
Redbird combines AppsFlyer campaign metrics (installs, LTV, fraud rates) with Brandwatch social data (mentions, sentiment, share of voice) into a single automated report. CMOs see which channels drive both measurable conversions and brand awareness without stitching together disparate dashboards.
When AppsFlyer shows a campaign driving strong install volume but Brandwatch detects rising negative sentiment around that creative or messaging, Redbird sends alerts to Slack or email. Growth teams catch brand risks early and adjust creative before damaging long-term perception.
When AppsFlyer flags install fraud or suspicious attribution patterns, Redbird logs these events in Brandwatch alongside social mentions to identify coordinated campaigns or fake engagement rings. Security and brand safety teams connect fraudulent traffic with inauthentic social activity.
Redbird automatically captures Brandwatch conversation data for each AppsFlyer campaign cohort and stores it alongside install, retention, and LTV metrics. Product and analytics teams run historical analyses on how social discourse correlates with long-term user quality.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize AppsFlyer and Brandwatch 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's AI understands AppsFlyer's attribution schemas and Brandwatch's social intelligence data structures, mapping campaign identifiers, cohort definitions, and sentiment taxonomies automatically.
Redbird natively understands AppsFlyer's campaign structures, media source hierarchies, event taxonomies, and cohort definitions—matching them to Brandwatch's mention streams, sentiment scores, topic clusters, and audience segments. The AI recognizes when a campaign name in AppsFlyer corresponds to branded hashtags or product mentions in Brandwatch, joining attribution windows with social conversation timelines. No manual field mapping or CSV exports required.
faster than exporting AppsFlyer cohorts and manually cross-referencing Brandwatch sentiment data in spreadsheets
Redbird can pull from AppsFlyer and Brandwatch 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 Brandwatch.
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 Brandwatch, or from Brandwatch 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 social intelligence signal in Brandwatch—Redbird handles the rest.
Fires when a campaign crosses defined return on ad spend benchmarks in AppsFlyer.
Triggers when AppsFlyer's fraud prevention system flags suspicious install patterns.
Activates when AppsFlyer defines a new user cohort based on install date or behavior.
Adds or removes users from AppsFlyer retargeting segments based on external signals.
Sends campaign-level install, event, and revenue data to external storage or BI tools.
Appends custom attributes to AppsFlyer campaigns from other data sources.
Fires when Brandwatch detects notable changes in positive or negative sentiment for tracked topics.
Triggers when social conversation around your brand or keywords exceeds baseline thresholds.
Activates when Brandwatch surfaces emerging conversation themes relevant to your queries.
Generates Brandwatch reports filtered by date range, topic, geography, or sentiment criteria.
Tags and organizes specific social mentions into Brandwatch folders for deeper analysis.
Sends social mentions and sentiment analysis to external platforms or data warehouses.
See how Redbird connects AppsFlyer attribution data with Brandwatch social intelligence to unify campaign performance and brand perception analysis—without manual exports or custom integrations.