Automatically sync Amazon Ads campaign performance, attribution data, and spend metrics into BigQuery for unified analytics. Stop exporting CSV reports and manually loading ad data into your warehouse—let Redbird handle the entire pipeline from Amazon Ads API to your tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Stream impressions, clicks, spend, ACOS, and conversions from all Sponsored Products and Sponsored Brands campaigns into dedicated BigQuery tables. Maintain historical performance data with daily appends for trend analysis and year-over-year comparisons without touching the Amazon Ads console.
Merge Amazon Ads attribution data with Google Ads, Meta, and ecommerce transactions already in BigQuery. Create cross-channel ROAS calculations, customer journey analysis, and incrementality models that show how Amazon advertising impacts total revenue across all touchpoints.
Query BigQuery for campaign-level ACOS trends and automatically notify teams when performance degrades beyond acceptable ranges. Catch budget waste early by comparing current metrics against historical benchmarks and category averages stored in your warehouse.
Pull cleaned, transformed Amazon Ads data from BigQuery and create automated reports showing portfolio-level performance, brand penetration metrics, and advertising efficiency across product categories. Combine with sales data for complete P&L visibility without stitching together multiple exports.
Capture granular search term performance, ASIN-level data, and placement breakdowns from Amazon Ads into BigQuery before Amazon's retention limits delete them. Build multi-year datasets for seasonality analysis, keyword trend discovery, and competitive intelligence that persists beyond Amazon's reporting windows.
Train ML models in BigQuery on historical Amazon Ads performance, inventory levels, and demand signals to generate budget recommendations. Automatically push optimized daily budgets and bid adjustments back to Amazon Ads campaigns based on predicted conversion rates and margin targets.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon Ads and BigQuery 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 Amazon Ads campaign structures, attribution models, and performance metrics alongside BigQuery's schema conventions and partitioning strategies—mapping advertising data to warehouse-ready formats automatically.
Redbird maps Amazon Ads campaign hierarchies, sponsored product targeting types, and attribution windows to properly normalized BigQuery schemas. We handle time zone conversions between Amazon's reporting and your warehouse standards, partition tables by date for query efficiency, and preserve dimensional relationships between campaigns, ad groups, keywords, and ASINs. The platform recognizes advertising-specific data types like ACOS and ROAS, ensuring correct decimal precision and aggregation logic for accurate warehouse analytics.
faster than building custom Amazon Ads API extractors and BigQuery load scripts
Redbird can pull from Amazon Ads and BigQuery 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 BigQuery.
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 BigQuery, or from BigQuery 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 events in Amazon Ads or query results in BigQuery—Redbird connects both directions.
Fires when Amazon Ads refreshes daily campaign, ad group, or keyword-level performance metrics including impressions, clicks, and attributed sales.
Triggers when any campaign's Advertising Cost of Sales rises above specified percentage targets over a rolling time window.
Fires when Amazon generates updated search term performance data showing which customer queries triggered your ads.
Programmatically adjust campaign-level daily budget caps based on performance signals or external data inputs.
Change CPC bids for individual keywords or targeting expressions within ad groups based on performance rules.
Automatically disable campaigns or ad groups that fall below efficiency thresholds to prevent continued budget waste.
Fires when a BigQuery scheduled query finishes running, producing updated analytical results or aggregate metrics.
Triggers when specific BigQuery tables receive new rows or updates, indicating fresh data availability for downstream processes.
Fires when BigQuery analytical queries return values outside expected ranges based on historical patterns or defined thresholds.
Append new records to BigQuery tables with proper schema validation and partitioning for incremental data loads.
Run dynamic SQL statements in BigQuery with variable inputs to transform data, generate reports, or update materialized views.
Provision fresh BigQuery tables with date-based or integer-range partitioning schemes optimized for time-series advertising data.
Stop manually exporting Amazon Ads reports and writing custom BigQuery load jobs. Redbird connects your advertising data to your warehouse automatically, so your team can focus on analysis instead of pipeline maintenance.