Redbird AI syncs digital marketing analytics with retail sales performance automatically. Stop manually correlating online traffic, search rankings, and content performance with actual retail outcomes across natural and specialty channels.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull keyword rankings and organic traffic data from Semrush for each SKU tracked in SPINS. Correlate search demand with retail velocity to identify when digital presence drives in-store sales. Build unified dashboards showing search volume alongside retail performance.
Monitor SPINS market share and category movement, then cross-reference with Semrush search volume and competitor activity. Trigger alerts when retail performance diverges from digital signals. Help teams understand when retail momentum is driven by factors beyond online marketing.
Push competitor retail performance data from SPINS directly into your Semrush analytics workspace. Create unified competitive views that show both digital footprint and actual shelf performance. Eliminate spreadsheet exports and manual data consolidation.
Combine Semrush content marketing metrics with SPINS distribution data by retailer and region. Identify which blog posts, landing pages, and SEO campaigns coincide with retail account wins. Quantify content ROI using actual retail outcomes instead of just traffic metrics.
Monitor Semrush keyword rankings and search volume for new product terms alongside SPINS scan data velocity. Automatically flag when products gain retail distribution but lack digital discoverability. Coordinate SEO efforts with retail launch timing across channels.
Maintain longitudinal datasets combining years of Semrush ranking history with SPINS retail performance. Build time-series models showing how changes in search strategy impacted shelf performance. Enable data science teams to analyze digital-to-retail attribution at scale.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Semrush 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 understands both Semrush's digital marketing schemas and SPINS retail scan data structures, connecting online performance with shelf reality.
Redbird's AI natively maps Semrush keyword rankings, organic traffic segments, and domain authority metrics to SPINS UPC-level sales, distribution points, and category performance. It automatically handles date range normalization between weekly scan periods and daily SEO snapshots. The system understands hierarchies on both sides—from keyword groups to product categories, from domain-level traffic to retailer-specific sales—and intelligently joins data across different granularities without custom code.
faster than exporting Semrush CSVs and matching them to SPINS retailer data manually
Redbird can pull from Semrush 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 Semrush 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 Semrush into SPINS, or from SPINS back into Semrush. 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 ranking change, traffic spike, or retail sales shift—Redbird connects both systems in real time.
Trigger workflows when tracked keywords move up or down by specified positions for target product terms.
Monitor domain or page-level traffic changes that exceed percentage thresholds over time periods.
Detect when competitors launch new pages or content targeting your keyword sets or product categories.
Pull current or historical rankings for specific keyword groups mapped to product lines or SKUs.
Fetch domain-level SEO health metrics and referring domain counts for your brand or competitors.
Extract page-level organic sessions and engagement metrics for specified URLs and time periods.
Trigger automations when new SPINS scan data arrives for natural, specialty, or conventional channels.
Detect when brand or SKU market share moves significantly within defined product categories.
Monitor when SKUs gain placement in additional retail locations or accounts across channels.
Pull scan data for specific products across different retail accounts and time periods.
Extract category-level performance metrics including dollar sales, units, and velocity trends.
Get comparative sales and distribution data for competitor brands within your product categories.
Join CPG brands using Redbird AI to connect digital marketing performance with retail sales reality. Stop manually reconciling Semrush and SPINS data across spreadsheets.