Automatically sync social listening data, sentiment metrics, and brand intelligence from Brandwatch into Redshift. Stop exporting CSVs, manually loading datasets, or writing custom scripts to centralize your social data for analysis.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Capture every brand mention, sentiment score, and engagement metric from Brandwatch and load it into Redshift in near real-time. Build historical social listening datasets without manual exports or data engineering bottlenecks.
Match social mentions and sentiment from Brandwatch to customer profiles in Redshift using email, username, or custom identifiers. Create unified customer views that combine transactional data with social behavior and brand perception.
Automatically load campaign-level social metrics, competitor share of voice, and trend data into Redshift for historical reporting. Maintain complete archives of brand performance without storage limits or retention windows from social tools.
Monitor aggregated sentiment trends in Redshift and send alerts to comms teams when negative mentions exceed thresholds. Combine social listening signals with other business metrics for comprehensive brand health monitoring.
Query aggregated Brandwatch data in Redshift to generate formatted reports on brand health, campaign performance, and competitive insights. Schedule automated delivery to Slack, email, or dashboards without manual SQL work.
Load trending topics, hashtags, and cultural signals identified by Brandwatch into Redshift for cross-channel analysis. Combine social trends with product, sales, and web analytics data to identify market opportunities.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Brandwatch and Redshift 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 Brandwatch's mention structures, sentiment taxonomies, and audience dimensions, plus Redshift's columnar storage patterns and partitioning strategies.
Redbird automatically maps Brandwatch mention objects, sentiment classifications, author profiles, and engagement metrics to optimized Redshift table schemas. It handles nested JSON from social listening queries, normalizes multi-dimensional sentiment data, and creates proper sort and distribution keys for fast analytical queries. No need to manually design star schemas or write transformation logic for social data structures.
faster than building custom ETL pipelines for social listening data
Redbird can pull from Brandwatch and Redshift 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 Brandwatch or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Brandwatch into Redshift, or from Redshift back into Brandwatch. 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 from any social listening event in Brandwatch or data change in Redshift to build automated workflows across your entire stack.
Trigger when brand mentions, product keywords, or competitor names appear in tracked queries.
Trigger when sentiment scores for a topic or campaign cross positive or negative thresholds.
Trigger when your brand's share of conversation shifts relative to competitors.
Programmatically create new listening queries or modify existing search parameters.
Apply custom tags or classifications to mentions based on data from other systems.
Retrieve structured mention data, sentiment breakdowns, or author profiles for specific queries.
Trigger when mention data, sentiment records, or engagement metrics are loaded into Redshift.
Trigger when aggregated sentiment calculations in Redshift cross defined business thresholds.
Trigger workflows when scheduled social analytics queries finish running in Redshift.
Insert social listening data into specific Redshift tables with proper schema mapping.
Execute SQL queries to aggregate sentiment trends, calculate metrics, or join social data with other datasets.
Refresh author profiles, topic taxonomies, or campaign reference tables with latest social data.
Stop manually exporting social listening data or building custom pipelines. Sync Brandwatch and Redshift automatically and centralize brand intelligence in your data warehouse.