Stop manually correlating social sentiment with web performance data. Redbird AI connects Adobe Analytics and Brandwatch so your teams can automatically enrich social listening insights with behavioral data, trigger alerts based on cross-platform patterns, and build unified reports that show how conversations drive conversions.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When Brandwatch detects a sentiment shift or mention spike around a topic, automatically pull corresponding Adobe Analytics traffic, conversion, and journey data for that time period. Surface whether social buzz correlates with site behavior changes and where conversations drive actual customer actions.
When Adobe Analytics identifies unusual spikes or drops in traffic, conversions, or campaign performance, automatically query Brandwatch for social mentions and sentiment during that window. Help teams understand if external conversations or PR moments are driving site behavior without manual investigation.
Export behavioral segments from Adobe Analytics—high-value converters, cart abandoners, specific journey patterns—and sync them to Brandwatch as audience filters. Analyze how different behavioral cohorts engage with and perceive your brand on social channels.
When Brandwatch identifies significant conversation spikes, viral moments, or competitor launches, push contextual annotations directly into Adobe Analytics timelines. Give analysts the social context they need when reviewing traffic and performance trends without switching platforms.
Automatically compile campaign reports that merge Adobe Analytics conversion data, attribution metrics, and journey analytics with Brandwatch sentiment scores, share of voice, and mention volume. Deliver a complete view of campaign impact across paid performance and earned social response.
Sync Brandwatch mention data, sentiment timelines, and topic clusters into the same data warehouse as your Adobe Analytics exports. Enable cross-platform analysis, train predictive models, and maintain a single source of truth for customer voice and behavior.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Adobe Analytics 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 AI understands Adobe Analytics behavioral schemas and Brandwatch social intelligence data structures—so you can connect web analytics with social listening without custom mapping or engineering work.
Redbird reads Adobe Analytics custom event taxonomies, eVar and prop configurations, segment definitions, and attribution models—then maps them intelligently to Brandwatch mention streams, sentiment classifications, topic clusters, and author profiles. The platform recognizes temporal patterns across both systems, aligning social conversation timestamps with web session data, campaign windows, and conversion events. You can query across behavioral metrics and social intelligence using natural language, without building complex data pipelines.
faster social-to-web correlation analysis vs manual CSV exports and spreadsheet joins
Redbird can pull from Adobe Analytics 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 Adobe Analytics 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 Adobe Analytics into Brandwatch, or from Brandwatch back into Adobe Analytics. 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 Adobe Analytics event or Brandwatch social signal—then trigger actions across your entire stack.
Trigger when conversion rates for specific segments or channels cross defined thresholds.
Trigger when Adobe's anomaly detection identifies unusual traffic patterns or volume shifts.
Trigger when visitors qualify for specific behavioral segments based on journey patterns.
Add contextual annotations to Adobe Analytics timelines with external event data.
Pull visitor-level or aggregated data for specific segments and time ranges.
Modify calculated metric definitions or add new cross-platform metrics programmatically.
Trigger when sentiment scores for tracked topics or brands move beyond defined ranges.
Trigger when brand or topic mentions exceed baseline volume thresholds on social channels.
Trigger when Brandwatch detects new trending topics or conversation themes in your categories.
Add new listening queries for specific keywords, authors, or conversation themes.
Apply custom tags or classifications to mention streams based on external data signals.
Pull aggregated sentiment data, mention volume, and author metrics for defined date ranges.
See how Redbird AI connects Adobe Analytics with Brandwatch to help your teams understand how social conversations drive web behavior—without manual data pulls or custom integrations.