Context
Alclear (Germany) wanted a clearer picture across:
- Advertising performance (fast-moving signals)
- Retail/vendor signals (sell-through, operational metrics)
We coordinated with the PPC manager and delivered both pipelines + the supporting backend setup across AWS and GCP.
What is Amazon Marketing Stream (AMS)?
Amazon Marketing Stream is a streaming service that delivers advertising insights more frequently than standard reporting, designed to power near real-time monitoring and optimization workflows.
In practice, teams use it to drive faster dashboards, anomaly alerts, and automated decisioning. AWS provides reference architectures for consuming AMS data via AWS services (e.g., queue/stream ingestion and downstream storage/analytics).
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AMS pipeline (AWS)
- Ingested AMS data into AWS-native components
- Normalized and stored it for clean downstream querying
- Published curated tables/views for Looker Studio consumption
The key goal: make the output stable for dashboards (schemas don’t break, jobs don’t silently fail).
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RRA pipeline (GCP + SP-API)
For vendor retail reporting, we built scheduled SP-API pulls and landed data into BigQuery:
- Incremental pulls (watermarks) to avoid duplication
- Retry + throttling handling
- Separate clean tables feeding the same Looker Studio file
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Outcome
The PPC team got one place to monitor:
- Faster-moving advertising signals (AMS)
- Retail/vendor signals (RRA/SP-API)
…without juggling multiple exports or unreliable manual pulls.
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