Sync digital experience insights with CPG retail performance data automatically. Stop manually exporting session analytics and retail sales reports to understand how online behavior connects to in-store results. Redbird AI keeps your ecommerce UX data and retail scan data flowing in both directions.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically append FullStory session metrics—cart abandonment rates, product page engagement, feature usage—to SPINS retail performance data for each SKU. Surface which products experiencing in-store sales declines also have digital UX friction. Create unified CPG performance dashboards that span online and offline channels.
Monitor FullStory rage clicks, error events, and conversion drops for products flagged as top performers in SPINS retail data. Trigger alerts when session quality metrics decline for SKUs with strong store velocity. Protect revenue by identifying digital friction before it impacts omnichannel sales.
When SPINS data shows a new SKU hitting distribution or velocity milestones, automatically create corresponding product cohorts and funnels in FullStory. Track how awareness and interest in newly launched retail products translates to online engagement. Measure digital-to-physical product discovery patterns.
Combine FullStory category page analytics—scroll depth, filter usage, product impressions—with SPINS category performance data from natural and specialty channels. Build automated reports showing correlation between online browsing behavior and in-store purchase patterns. Identify categories where digital experience improvements could drive retail velocity.
When SPINS flags sudden sales drops or spikes for specific products, automatically capture and tag relevant FullStory session replays showing customer interactions with those SKUs online. Build a library of behavioral evidence tied to retail performance events. Enable cross-functional teams to investigate omnichannel performance shifts with session-level detail.
When SPINS detects market share shifts in your brand's categories, trigger FullStory analysis of competitor website session patterns and feature comparisons. Automatically segment sessions by users who viewed competitor products. Connect retail market dynamics to digital experience differentiation opportunities.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize FullStory and SPINS 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 both FullStory's event streams and session data structures and SPINS' retail scan hierarchies—from UPC-level behavioral metrics to category performance rollups.
Redbird automatically maps FullStory user segments, custom events, and conversion funnels to SPINS product hierarchies, retail account structures, and time-series sales data. The AI understands how to join session-level engagement metrics with UPC scan data, match product SKUs across systems, and align digital event timestamps with retail reporting periods. No need to build custom ETL for session replays, behavioral cohorts, or category-level aggregations—Redbird handles the schema translation between digital experience intelligence and retail performance analytics.
faster than exporting FullStory segments and manually matching to SPINS retail data
Redbird can pull from FullStory and SPINS 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 FullStory or SPINS.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from FullStory into SPINS, or from SPINS back into FullStory. 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 session event in FullStory or any retail performance change in SPINS—Redbird handles the rest.
Fires when rage click count on specific pages or product elements surpasses defined limits.
Triggers when abandonment rate for checkout or product flows exceeds baseline by set percentage.
Activates when analysts define new behavioral cohorts based on session properties or event patterns.
Build new user segments in FullStory based on external data like retail product performance tiers.
Pull session-level behavioral metrics, custom events, and user properties for analysis workflows.
Enrich FullStory events with external attributes like retail velocity tier or distribution status.
Fires when product sales rate in natural/specialty channels exceeds threshold increase or decrease.
Triggers when SKU reaches target store count or enters new retail accounts in tracked channels.
Activates when brand or competitor category share moves beyond defined variance in reporting period.
Extract SPINS scan data for specific SKUs, categories, or retail accounts to enrich analytics workflows.
Generate time-series performance data for natural/organic categories across retail channel segments.
Retrieve competitive positioning and share-of-shelf data for brands within specific CPG categories.
See how Redbird AI syncs FullStory session intelligence with SPINS retail performance data—connecting digital experience insights to in-store CPG results without the manual export grind.