TL;DR Short answer: the best Amazon Ads ETL tools are the ones that start syncing early and never stop. Amazon Ads keeps report data for only 60 days, so anything you have not copied into your own warehouse disappears. Pull-based tools replicate daily reports through the Amazon Ads API, Amazon Marketing Stream pushes hourly metrics, and Amazon Marketing Cloud handles clean-room attribution. Seven Amazon Ads ETL tools compared:
Airbyte : open-source data connectivity platform that replicates Amazon Ads profiles, campaigns and v3 reports into the warehouse you choose.Fivetran : managed Amazon Ads connector that loads campaign and report data into a warehouse.Supermetrics : marketing data connector for Amazon Ads into spreadsheets, Looker Studio and warehouses.Amazon Marketing Stream : Amazon's push-based feed of hourly campaign metrics into your AWS account.Amazon Marketing Cloud : Amazon's clean room for event-level attribution and audience analysis.Amazon Ads console reports : built-in campaign reports with downloads from the Amazon Ads console.Custom code with the Amazon Ads API : the Amazon Ads API and v3 reporting for full control over what you extract.The Amazon Ads constraint: report data is only kept for 60 days and attribution keeps changing for several days after a click, so pipelines need to run continuously and re-read recent days. Amazon Ads ETL tools and Amazon Ads integrations move Sponsored Products, Sponsored Brands, Sponsored Display and DSP data out of Amazon and into a cloud data warehouse . Marketplace and performance marketing teams use them to keep long-term history, calculate profit-aware ROAS with sales and cost data, and compare Amazon with other ad channels.
Why use Amazon Ads ETL tools instead of the Amazon Ads console? The Amazon Ads console covers campaign, keyword and search term performance, but only for the recent window Amazon retains. Teams usually need more: year-over-year history, ad spend joined with marketplace sales, fees and margins, and one view across Amazon, Google, Meta and TikTok. That needs Amazon Ads data in a warehouse, which is what Amazon Ads ETL tools are for.
How do the Amazon Ads ETL tools compare? Tool Best for Sync method Deployment Pricing model Airbyte Long-term warehouse history Incremental with 3-day lookback Airbyte Cloud, Airbyte Flex, self-hosted Airbyte Core Free self-hosted Core; Cloud volume-based; Pro and Flex capacity-based Fivetran Managed warehouse pipeline Scheduled sync Cloud, hybrid Monthly active rows Supermetrics Marketing dashboards and sheets Scheduled refresh Cloud Subscription by data sources Marketing Stream Hourly metrics and intraday bidding Push to AWS (SQS) Your AWS account Included with API access Amazon Marketing Cloud Clean-room attribution SQL on anonymised events Inside AMC Eligibility-based Console reports Quick checks Manual downloads Inside Amazon Ads Included Custom code Exact control Whatever you build Wherever you run it Free, engineering time
Which Amazon Ads ETL tools should you consider? Seven Amazon Ads ETL tools, from warehouse replication to Amazon's own data products:
1. Airbyte Airbyte is the open-source data connectivity platform for AI and analytics, and among Amazon Ads ETL tools it is built to keep history Amazon deletes. Its Amazon Ads source replicates profiles, portfolios, Sponsored Products, Sponsored Brands and Sponsored Display entities and v3 reports, and syncs report streams incrementally with a three-day lookback window to capture late-arriving attribution. Because Amazon retains report data for 60 days, the connector caps start dates at 60 days ago, so start syncing as early as possible. For other ELT options, see our guide to ELT tools .
On Airbyte Cloud you authorise with OAuth; self-hosted setups need your own Amazon Ads API application, which can take several days to approve. You can filter by profile or marketplace, and run pipelines in Airbyte Cloud, in your own environment with Airbyte Flex, or self-hosted with Airbyte Core, next to 700+ other connectors.
Pros Cons Sponsored Products, Brands and Display reports Cannot recover data older than 60 days Incremental sync with lookback window Self-hosted needs your own API approval Amazon next to 700+ other sources DSP and AMC data need other routes
2. Fivetran Fivetran is one of the managed Amazon Ads ETL tools: its connector loads Amazon Ads campaigns and reports into a standard warehouse schema with no pipeline code to maintain. It suits teams already running Fivetran for other ad platforms. Fivetran completed its merger with dbt Labs in June 2026.
Pros Cons Fully managed, with a standard schema Monthly active row pricing grows with keywords No pipeline code to maintain Bound by the same 60-day retention Same platform as other ad sources Connector behaviour cannot be modified
3. Supermetrics Supermetrics is one of the marketing-focused Amazon Ads ETL tools: it pulls Amazon Ads metrics into Google Sheets, Excel, Looker Studio and warehouses, next to other ad platforms. It suits marketers who want dashboards without engineering. For other ad platforms, see our guides to Google Ads ETL tools and LinkedIn Ads ETL tools .
Pros Cons Sheets, Looker Studio and warehouses Pricing grows with data sources and accounts Many ad platforms in one tool Aggregated reports rather than raw entities No-code setup Less control than general-purpose ELT
4. Amazon Marketing Stream Amazon Marketing Stream is the push-based option among Amazon Ads ETL tools: Amazon sends hourly campaign metrics and campaign changes to an SQS queue in your AWS account, with no polling or reporting delay. It suits intraday bidding and dayparting, and new-to-brand metrics became available hourly in 2026. It does not backfill history, so pair it with report-based syncs.
Pros Cons Hourly metrics with no polling No historical backfill Supports intraday bidding and dayparting Needs AWS infrastructure to receive data New-to-brand metrics hourly You build the loading into your warehouse
5. Amazon Marketing Cloud Amazon Marketing Cloud (AMC) is Amazon's clean room. Advertisers run SQL over anonymised, event-level data from Amazon Ads and DSP, and can upload their own first-party data, to answer questions about attribution, audience overlap and paths to purchase. AMC returns aggregated results rather than raw rows, so it complements Amazon Ads ETL tools rather than replacing them.
Pros Cons Event-level attribution and path to purchase Aggregated outputs only, with privacy thresholds Combine Amazon signals with first-party data SQL skills and eligibility required Covers sponsored ads and DSP Results still need exporting for wider reporting
6. Amazon Ads console reports Before choosing Amazon Ads ETL tools, check the built-in options. The Amazon Ads console offers campaign, targeting, search term and placement reports that you can download or schedule. They answer day-to-day questions, but they are limited to Amazon's retention window and cannot be joined with other data automatically.
Pros Cons Built in, with no extra tools Limited to Amazon's retention window Search term and placement reports Manual downloads Scheduled report delivery Cannot be joined with other data automatically
7. Custom code with the Amazon Ads API When no Amazon Ads ETL tools fit a narrow need, you can call the API yourself. The Amazon Ads API uses Login with Amazon OAuth and a profile ID per account, and v3 reporting works asynchronously: you request a report, poll until it completes, then download a compressed file. You own onboarding, polling, rate limits and storage before the 60-day window closes.
Pros Cons Full control over report types and columns API onboarding and approval needed Asynchronous v3 reporting You own polling, retries and storage No licence cost Ongoing maintenance
How long does Amazon keep Amazon Ads report data? Amazon Ads retains report data for 60 days, and attributed sales can change for several days after a click. That means a pipeline has to run continuously, re-read recent days to catch late attribution, and store everything older in your own warehouse. If you start today, you can recover the last 60 days at most, so begin syncing before you need the history.
What is the difference between Amazon Marketing Stream and Amazon Marketing Cloud? Amazon Marketing Stream delivers operational, hourly campaign metrics to your AWS account for bidding and pacing. Amazon Marketing Cloud is a clean room for analysis on anonymised, event-level data, such as multi-touch attribution and audience overlap. Most teams use report-based ETL for daily history, Marketing Stream for intraday decisions, and AMC for deeper attribution questions. Sellers should also see our guide to Amazon Seller Partner ETL tools , and teams on short-form video should see TikTok Ads ETL tools .
What should you check before syncing Amazon Ads? Whichever Amazon Ads ETL tools you choose, most problems come from retention, attribution and access. Check these first:
60-day retention: report data older than 60 days cannot be retrieved. Start syncing early and never let the pipeline lapse.Late attribution: attributed sales and conversions update for several days. Keep a lookback window of at least three days.API onboarding: building your own integration needs an approved Amazon Ads API application, which can take days.Profiles and marketplaces: each country and account has its own profile ID. Confirm every profile is included, especially for multi-region sellers.Currencies and time zones: profiles report in local currency and time zone. Normalise them before comparing regions.Sales and costs: ad data alone does not show profit. Join it with seller sales, fees and product costs in the warehouse.The Amazon Ads API exposes advertising data, including:
Profiles and portfolios: accounts, marketplaces and how campaigns are grouped. Campaigns, ad groups and ads: Sponsored Products, Sponsored Brands and Sponsored Display structures. Keywords and targets: bids, match types and product or audience targeting. Performance reports: impressions, clicks, spend, attributed sales and orders. Search terms and placements: the queries and placements that triggered ads. New-to-brand metrics: purchases from customers new to your brand. How do you start pulling data from Amazon Ads? If you decide to test Airbyte, setting up an Amazon Ads pipeline takes three steps.
Step 1: Set up Amazon Ads as a source In Airbyte Cloud, open Sources, choose New source, select Amazon Ads and authorise your Amazon account with OAuth. Choose the region, set a start date no more than 60 days back, and optionally filter by profile or marketplace.
Step 2: Set up a destination Pick where your Amazon Ads history should live, such as Snowflake, BigQuery or Databricks, ideally next to your seller and ecommerce data.
Step 3: Configure the connection Select profiles, campaigns and the report streams you need, keep a lookback window of at least three days, and schedule daily runs. Start on Airbyte Cloud for OAuth setup, or run self-hosted Airbyte Core with your own Amazon Ads API application.
Which Amazon Ads ETL tool should you choose? The right Amazon Ads ETL tools depend on what you need to keep and how fast. For long-term history next to sales and other ad channels, use Airbyte for deployment control or Fivetran for a managed connector, and start before Amazon's 60-day window closes. Supermetrics suits marketing dashboards, Marketing Stream suits intraday bidding, AMC suits clean-room attribution, and console reports cover quick checks. For warehouse options, see our guide to Snowflake ETL tools .
For a wider view of the market, see our guide to the best data integration tools .
Replicate Amazon Ads with Airbyte Airbyte is the open-source data connectivity platform for AI and analytics. Keep Amazon Ads history beyond the 60-day window in the warehouse you choose, next to your sales, costs and 700+ other sources, in Airbyte Cloud, in your own environment with Airbyte Flex, or self-hosted with Airbyte Core.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What are the best Amazon Ads ETL tools? The best Amazon Ads ETL tools depend on your needs. Airbyte and Fivetran suit long-term warehouse history, Supermetrics suits marketing dashboards, Amazon Marketing Stream suits hourly bidding data, and Amazon Marketing Cloud suits clean-room attribution.
2. How long does Amazon Ads keep report data? Amazon Ads retains report data for 60 days. To keep longer history, sync it continuously into your own warehouse.
3. What is Amazon Marketing Cloud? Amazon Marketing Cloud is Amazon's clean room, where advertisers run SQL over anonymised, event-level ad data and their own first-party data for attribution and audience analysis. It returns aggregated results.
4. What is Amazon Marketing Stream? Amazon Marketing Stream pushes hourly campaign metrics and changes to an SQS queue in your AWS account. It suits intraday bidding but does not backfill history.
5. How does the Amazon Ads API work? The Amazon Ads API uses Login with Amazon OAuth and profile IDs. Reports in API v3 are asynchronous: you request a report, poll until it is ready, then download the file.
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Amazon Seller Partner ETL Tools
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