Stop manually exporting campaign reports and uploading CSVs to your data warehouse. Redbird AI automatically syncs Amazon Ads performance data, spend metrics, and attribution into Redshift—so your analytics stack always reflects real-time advertising performance across your entire Amazon catalog.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Stream Sponsored Products, Sponsored Brands, and Sponsored Display metrics into structured Redshift tables every morning. Keep impression, click, spend, and conversion data fresh without manual exports. Build dashboards and reports on a single source of truth for Amazon advertising.
Automatically capture and store daily snapshots of campaign-level ACOS, ROAS, and spend in Redshift. Preserve granular advertising history beyond Amazon's native retention windows. Enable year-over-year comparisons and seasonality modeling for planning cycles.
Pull SKU-level margin, inventory status, and product lifecycle stage from Redshift back into your campaign analysis. Tag campaigns and ad groups with profitability metrics. Identify high-spend, low-margin placements that need bid adjustments or pausing.
Monitor aggregated spend across campaigns in Redshift and trigger Slack or email alerts when daily budgets hit predefined limits. Catch runaway campaigns before they burn through monthly allocations. Route alerts to campaign managers based on brand or product category ownership.
Join Amazon Ads click and conversion events with order, revenue, and product data already in Redshift. Build unified attribution models that connect ad exposure to downstream purchase behavior. Automate reporting pipelines that feed executive dashboards and monthly business reviews.
Stream search term reports from Amazon Ads into Redshift with ASIN, match type, and conversion rate dimensions. Analyze query performance across thousands of keywords without API rate limits. Feed ML models or automated bidding rules with granular search performance history.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon Ads and Redshift 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 the schema and metrics of Amazon Ads campaigns and the table structures in Redshift—so you don't need to map fields, write transformation logic, or manage incremental loads manually.
Redbird knows the structure of Sponsored Products campaigns, ad groups, keywords, and targeting parameters—and how they map to dimensional tables in Redshift. It understands attribution windows, click vs. conversion timestamps, and how to join ad performance with order-level revenue data. Redbird handles incremental updates, deduplication, and late-arriving conversion events automatically, so your Redshift tables stay accurate without custom ETL scripts.
faster than building custom ETL pipelines to load Amazon Ads data into Redshift
Redbird can pull from Amazon Ads and Redshift 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 Redshift.
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 Redshift, or from Redshift 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 automations from campaign changes in Amazon Ads or new query results in Redshift—Redbird connects both directions.
Fires when a Sponsored Products or Sponsored Brands campaign hits its daily spend cap.
Triggers when advertising cost of sale rises above a configured percentage for any ad group.
Fires when Amazon generates a new search term performance report for keyword analysis.
Automatically disable campaigns based on performance rules or Redshift query results.
Adjust bids for individual keywords or targeting expressions based on ROAS or conversion data.
Pull current metrics for all active campaigns, ad groups, and keywords as structured data.
Fires when a scheduled Redshift query identifies products with elevated ad spend trends.
Triggers when total spend, impression share, or ROAS crosses a defined boundary in Redshift analysis.
Fires when daily ETL jobs load fresh Amazon Ads data into designated Redshift tables.
Insert or upsert Amazon Ads performance data into specified Redshift schema and table.
Execute SQL to join, aggregate, or enrich newly arrived Amazon Ads records in Redshift.
Copy daily campaign and keyword performance into time-series tables for long-term retention.
Start syncing Amazon Ads campaign data into Redshift automatically. Build the advertising analytics pipeline your team has been asking for—without writing ETL code or managing infrastructure.