Redbird AI connects your Amazon advertising data with SPINS retail insights automatically. Stop manually cross-referencing ad spend with in-store performance or building spreadsheets to compare online and offline sales. Automate the analysis between your digital ads and retail scan data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull Amazon Ads sales attribution data and match it with SPINS retail scan data for the same products. Identify whether your advertising is driving online sales faster than retail distribution is growing. Surface SKUs where ad investment outpaces or lags retail performance.
Augment your Amazon Ads performance dashboards with SPINS category trend data to contextualize your advertising results. Automatically append market share movement and category velocity metrics to campaign reports. Understand if your ACOS improvements correlate with broader natural channel growth.
Monitor when your Amazon advertising investment grows faster than your SPINS-tracked retail distribution footprint. Get notified when ad spend per store equivalent exceeds target thresholds. Trigger budget reallocation reviews when online and offline channel growth becomes misaligned.
When SPINS data shows accelerating retail velocity for new products, automatically adjust Amazon Ads bids and budgets for those SKUs. Create feedback loops where in-store momentum informs digital advertising aggressiveness. Scale Amazon campaigns in sync with retail account performance.
Generate comprehensive CPG performance reports that merge Amazon advertising efficiency metrics with SPINS retail sales volume by account and channel. Automatically calculate blended marketing ROI across digital and brick-and-mortar. Deliver executive dashboards showing total brand velocity across all touchpoints.
Create historical snapshots of Amazon Ads performance tagged with corresponding SPINS market share, category trends, and competitive positioning. Build a longitudinal dataset showing how your advertising decisions correlated with retail outcomes. Enable year-over-year analysis of integrated channel strategy effectiveness.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon Ads 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's AI understands Amazon Ads campaign structures and SPINS retail taxonomy, so you can connect advertising performance with scan data without custom schema mapping.
Redbird automatically maps Amazon Ads campaign hierarchies, SKU identifiers, and attribution windows to SPINS product hierarchies, UPCs, and time-series scan data. Our AI recognizes how to align Amazon's ASIN structure with SPINS item codes, match time periods across different reporting cadences, and reconcile product variations between online listings and retail packaging. No need to build lookup tables or write custom transformation logic to compare digital ad performance with natural channel sales.
faster than exporting Amazon reports and cross-referencing with SPINS dashboards manually
Redbird can pull from Amazon Ads 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 Amazon Ads 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 Amazon Ads into SPINS, or from SPINS back into Amazon Ads. 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 event in Amazon Ads or SPINS and automate what happens next across your marketing and analytics stack.
Trigger when daily, weekly, or monthly ad spend crosses defined budget levels for campaigns or ad groups.
Fire when Advertising Cost of Sale rises above efficiency thresholds for specific products or campaigns.
Detect when advertised ASINs show inventory issues that impact campaign delivery.
Programmatically adjust daily budgets for campaigns based on performance signals or external data.
Automatically pause ad groups that fail to meet ROAS or conversion rate targets.
Pull Amazon Ads metrics including impressions, clicks, spend, sales, and ACOS by time period and grouping.
Trigger when SPINS data shows week-over-week or period-over-period sales acceleration for specific products.
Fire when your brand's share of category sales changes beyond threshold levels in tracked channels.
Detect when products gain placement in additional retail accounts or stores in the SPINS network.
Retrieve SPINS retail sales data filtered by brand, product, retail account, and time period.
Extract market-level data including category growth rates, competitive positioning, and consumer trends.
Generate reports on ACV, TDPs, store count, and geographic distribution for specified products or brands.
Stop manually reconciling Amazon advertising data with SPINS retail insights. Let Redbird AI connect your digital and brick-and-mortar performance automatically so you can focus on strategy instead of spreadsheets.