Connect Brandwatch and
Heap with AI

Sync social sentiment and brand conversation data directly into behavioral analytics. Stop manually correlating campaign mentions with product engagement, or exporting sentiment reports to cross-reference with user journey data.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Enrich Heap user segments with Brandwatch sentiment exposure scores

Automatically append social sentiment exposure data to Heap user profiles based on campaign timing and geography. Identify which users were active during positive or negative brand conversation spikes. Analyze how social sentiment correlates with conversion behavior and product adoption.

Trigger Brandwatch topic alerts when Heap detects conversion drop-offs

Monitor Heap for sudden funnel abandonment or feature engagement declines, then automatically initiate Brandwatch queries for related social conversation. Surface whether product friction is being discussed publicly or generating negative sentiment. Alert brand and product teams simultaneously when issues emerge.

Sync campaign launch timestamps to Heap for attribution analysis

Push Brandwatch campaign and mention volume milestones into Heap as custom events. Retroactively analyze user behavior changes around brand awareness spikes, influencer mentions, or PR moments. Build behavioral cohorts based on exposure timing without manual event tracking.

Route high-value user interactions from Heap into Brandwatch audience segmentation

Send conversion events, power user behaviors, and churn signals from Heap to Brandwatch for social profile matching. Understand what converting users are saying publicly about your brand versus churned users. Build social listening queries that isolate feedback from your most engaged product segments.

Automate weekly reports combining social share of voice with product engagement

Generate unified reports that overlay Brandwatch sentiment trends and mention volume against Heap conversion metrics and feature adoption rates. Correlate brand perception shifts with behavioral outcomes across cohorts. Eliminate manual cross-platform data gathering for leadership dashboards.

Archive social crisis mentions alongside affected user session data

When Brandwatch detects negative sentiment spikes or brand crises, automatically capture concurrent Heap user sessions and interaction patterns. Preserve context of how product usage changed during reputation events. Build a historical record linking external perception with internal behavior.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Brandwatch and Heap with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird AI understands both Brandwatch's social conversation taxonomy and Heap's event-based behavioral model, bridging qualitative sentiment with quantitative interaction data.

AI that reads sentiment schemas and session graphs

Redbird maps Brandwatch mention objects, sentiment scores, topic clusters, and audience demographics to Heap's auto-captured events, user properties, and session timelines. The AI handles timestamp alignment across platforms, correlates geographic and demographic segments, and structures unstructured social data for behavioral analysis. No custom fields or manual taxonomy mapping required—Redbird interprets how brand conversation context enriches user interaction data.

Sentiment score normalization
Campaign-to-event mapping
Cross-platform user matching
Retroactive correlation analysis
10×

faster than exporting Brandwatch CSVs and manually joining with Heap warehouse exports

No SQL joins, timestamp reformatting, or custom ETL scripts to correlate social and behavioral data

Auto-generated reports

Redbird can pull from Brandwatch and Heap simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Brandwatch or Heap.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Brandwatch into Heap, or from Heap back into Brandwatch. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any social conversation spike in Brandwatch or behavioral pattern in Heap.

Brandwatch
Triggers & Actions
Trigger

Sentiment threshold crossed

Fires when brand sentiment score rises above or falls below specified levels in a topic or query.

Trigger

Mention volume spike detected

Triggers when conversation volume exceeds baseline by a percentage or absolute count within a timeframe.

Trigger

New trending topic identified

Activates when Brandwatch's topic clustering detects an emerging theme in brand-related conversations.

Action

Create custom query segment

Build new Brandwatch queries programmatically based on product events or user cohort characteristics.

Action

Tag mentions with product context

Apply custom tags to social mentions based on concurrent user behavior or conversion data from Heap.

Action

Export audience demographics

Pull demographic and interest data for users discussing specific topics or exhibiting sentiment patterns.

Heap
Triggers & Actions
Trigger

Conversion funnel drop-off detected

Fires when abandonment rate in a defined funnel exceeds threshold or changes significantly period-over-period.

Trigger

User segment reaches size threshold

Triggers when a behavioral cohort grows or shrinks beyond specified parameters based on interaction patterns.

Trigger

Feature engagement changes

Activates when click or interaction volume on specific elements shifts outside expected ranges.

Action

Create user property from social data

Append sentiment exposure scores or brand conversation timing as custom properties on Heap user profiles.

Action

Log campaign event retroactively

Insert external brand moments as events in Heap's timeline for retroactive funnel and cohort analysis.

Action

Build segment from mention cohort

Generate Heap user segments based on overlap with Brandwatch social audience or conversation participants.

Brandwatch
+
Heap

Ready to connect your stack?

Stop treating social sentiment and product behavior as separate data universes. Redbird AI connects Brandwatch and Heap so brand perception and user engagement inform each other automatically.

Get started → Book a demo