Supermetrics for Amazon Redshift
Connect AdRoll to Amazon Redshift — Retargeting Campaign Warehouse
Load AdRoll retargeting and prospecting campaign data into Amazon Redshift for cross-channel ad analytics.
Why Connect AdRoll to Amazon Redshift?
Warehouse your AdRoll data in Amazon Redshift for unlimited historical analysis and cross-source SQL.
- Track retargeting vs prospecting campaign performance in Redshift to optimize audience segmentation and spend.
- Join AdRoll conversion data with other ad platforms in Redshift for cross-channel attribution modeling.
- Compare click-through and view-through conversions in Redshift to measure the full impact of display retargeting.
How to Connect AdRoll to Amazon Redshift
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Amazon Redshift as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Redshift cluster endpoint and credentials, choose your schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Redshift via S3 COPY automatically.
AdRoll Data Schema in Amazon Redshift
Supermetrics creates and maintains clean, typed tables automatically. Here's what your AdRoll data looks like in Amazon Redshift.
Data Freshness & Scheduling
AdRoll data is typically available in Redshift within 3-6 hours of the reporting period end.
What AdRoll Data Can You Pull into Amazon Redshift?
Supermetrics gives Amazon Redshift access to your full AdRoll reporting data — metrics and dimensions you already know from the AdRoll interface.
Key Metrics
- Impressions
- Clicks
- Cost
- CTR
- CPC
- CPM
- Conversions
- Conversion rate
- Click-through conversions
- View-through conversions
- Revenue
- CPA
- ROI
Key Dimensions
- Advertiser
- Campaign
- Campaign type
- Adgroup
- Ad
- Ad type
- Device
- Country
- Placement
- Audience
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
PPC reporting: extract insights from paid campaigns
Why Supermetrics for Amazon Redshift?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Amazon Redshift — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Managed Schema
Supermetrics creates and maintains your AdRoll tables automatically. Schema changes from the source API are handled for you — no broken pipelines, no manual migrations.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much AdRoll data as you need without worrying about cost spikes.
No Data Limits
Query any date range, any number of campaigns, any level of granularity. No row limits, no sampling, no restrictions on the data you can pull.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select AdRoll as your source and Amazon Redshift as the destination. Authorize your AdRoll account, provide your Redshift cluster endpoint and credentials, choose your target schema and table naming conventions, select the fields you need, set a schedule, and start the transfer. Supermetrics loads data using optimized S3 COPY commands — the same high-throughput path AWS recommends for bulk ingestion — so no custom ETL pipelines, AWS Glue jobs, or staging buckets are required.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All AdRoll credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the AdRoll API to your Redshift cluster — Supermetrics never stores your marketing data on its own servers. On the AWS side, your VPC isolation keeps the cluster off the public internet, IAM policies restrict which roles can access the data, and S3 server-side encryption protects any intermediate staging objects. You retain full control of your security perimeter.
- Absolutely — cross-source analysis is where Redshift shines in the AWS ecosystem. Once AdRoll data lands in your cluster, you can JOIN it with any other table in the same schema. Need to enrich it with raw event logs or clickstream data sitting in S3? Redshift Spectrum lets you query those external files directly without loading them, so your cluster stays lean while your analysis spans petabytes. Supermetrics supports 170+ data sources that all land in the same Redshift schema, and you can optimize JOIN performance further with DISTKEY and SORTKEY settings on frequently queried columns.
- All standard AdRoll reporting fields are available, including Impressions, Clicks, Cost, CTR, CPC, CPM, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data already loaded into Redshift. Because Redshift uses columnar storage, queries that scan only a few selected metrics out of a wide table are extremely fast — the engine skips unneeded columns at the disk level, reducing I/O and keeping your analytics snappy.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Redshift. Most teams schedule daily transfers so yesterday's final numbers are ready each morning. Incremental loading means only new and changed records are written via optimized S3 COPY commands, keeping cluster load minimal. If you define a SORTKEY on your date column, Redshift can skip entire disk blocks during time-range queries, making your morning dashboards in QuickSight or Tableau load in seconds.
- Yes. Campaign type is available as a dimension, letting you filter and compare retargeting vs prospecting performance.
- Yes. Click-through and view-through conversions are available as separate metrics for full attribution analysis.
Also Connect to Amazon Redshift
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