Connect Heap and SPINS with AI

Sync digital user behavior with retail sales performance automatically. Stop manually exporting interaction data and combining it with market trends in spreadsheets. Redbird AI connects Heap's behavioral insights with SPINS retail data so CPG teams can correlate digital engagement with in-store performance.

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 SPINS retail sales data with Heap digital engagement metrics

Automatically append Heap user interaction data to SPINS retail performance reports by matching product SKUs and time periods. Surface which digital touchpoints correlate with higher in-store velocity. Build a unified view of online research behavior and offline purchase patterns.

Alert product teams when new SPINS distribution triggers Heap funnel analysis

When SPINS detects new retail doors or distribution expansion, automatically trigger Heap segment analysis for users in those geographic markets. Compare digital engagement patterns before and after retail availability. Identify whether awareness campaigns translated to discoverable product flows.

Sync Heap conversion funnel data into SPINS category performance dashboards

Push Heap's where-to-buy funnel completion rates, store locator usage, and product detail page engagement into SPINS retail analytics. Correlate digital product discovery with retail account performance. Automatically update cross-channel performance views weekly.

Generate weekly reports comparing Heap user journey data with SPINS velocity trends

Automatically combine Heap behavioral segments with SPINS sales velocity by retailer and region. Identify which digital touchpoints precede retail sales lift. Deliver formatted reports showing digital-to-retail attribution without manual data joins.

Capture SPINS new product launch performance and trigger Heap cohort analysis

When SPINS shows a new SKU reaching distribution thresholds, automatically create Heap user cohorts for visitors who engaged with that product digitally. Measure how digital interaction timing relates to retail adoption curves. Track whether early digital engagers match geographic rollout patterns.

Automate Heap behavioral segment syncs based on SPINS market share changes

When SPINS detects significant market share shifts in specific categories or retailers, trigger Heap analysis of user journeys for those product lines. Automatically flag behavioral changes in product research patterns. Connect competitive retail dynamics with digital engagement trends.

Live in four steps

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

01

Connect your accounts

Authorize Heap and SPINS 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's AI understands both Heap's auto-captured event schemas and SPINS retail data structures, so you can connect digital behavior with physical shelf performance without custom ETL.

AI that reads Heap events and SPINS retail taxonomies

Redbird automatically maps Heap's user interaction events, session properties, and behavioral segments to SPINS product hierarchies, retail account structures, and market geographies. The AI understands how to join behavioral cohorts with SKU-level sales data, match time periods across digital and retail reporting cycles, and align Heap's user properties with SPINS demographic and channel segmentation. No need to manually define field mappings between interaction timestamps and scan data periods.

Auto-captured event mapping
SKU-to-product matching
Retail geography alignment
Cross-channel time normalization
10×

faster than exporting Heap sessions and manually joining with SPINS retail reports

No CSV downloads, VLOOKUP formulas, or weekly manual reconciliation of digital and retail data sources

Auto-generated reports

Redbird can pull from Heap and SPINS 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 Heap or SPINS.

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 Heap into SPINS, or from SPINS back into Heap. 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 Heap user interaction or SPINS retail data update, then take action across your entire CPG analytics stack.

Heap
Triggers & Actions
Trigger

User completes where-to-buy funnel

Fires when a user successfully completes the store locator or retailer search flow in Heap.

Trigger

Product page engagement threshold reached

Triggers when a product detail page accumulates specific interaction patterns or view duration.

Trigger

Conversion funnel drop-off detected

Fires when Heap identifies significant abandonment at specific steps in product research journeys.

Action

Create behavioral segment in Heap

Build new user segments in Heap based on retail performance criteria from SPINS data.

Action

Tag sessions with retail market data

Append SPINS geographic market and retailer availability properties to Heap user sessions.

Action

Update user properties with purchase propensity

Enrich Heap user profiles with propensity scores derived from SPINS category and brand affinity data.

SPINS
Triggers & Actions
Trigger

New retail distribution detected

Fires when SPINS identifies a product reaching new stores, chains, or geographic markets.

Trigger

Market share change exceeds threshold

Triggers when SPINS detects significant category or brand share shifts in specific channels.

Trigger

Velocity trend reversal identified

Fires when SPINS sales velocity data shows unexpected acceleration or deceleration patterns.

Action

Update product performance dataset

Write Heap digital engagement metrics into SPINS-structured datasets for unified reporting.

Action

Enrich SKU records with digital metrics

Append Heap interaction data, funnel performance, and engagement scores to SPINS product records.

Action

Create cross-channel performance report

Generate formatted reports combining SPINS retail data with Heap behavioral insights by product and market.

Heap
+
SPINS

Ready to connect your stack?

Sync Heap user behavior with SPINS retail performance automatically. Stop manually bridging digital and physical commerce data—let Redbird AI handle the integration so your team can focus on insights that drive shelf performance.

Get started → Book a demo