Marketing ETL
Pull campaign, attribution, ad revenue, and creative data from 1,200+ sources. Have it standardized and delivered warehouse-ready to Snowflake, BigQuery, Redshift, Databricks, and beyond. The cleanest data layer your BI stack will ever see.

Trusted to deliver the most extensive data, for optimized campaign performance
THE SINGULAR PROMISE
Every BI marketing tool is only as good as the data layer beneath it
AI agents, predictive models, internal models, optimization engines, and forecasting tools all share one weakness: they’re downstream of whatever marketing data you actually have. Singular’s marketing ETL is the layer that gets it right. Aggregate, user-level, and log-level data, normalized across every channel, delivered to the warehouse where your BI & AI stack lives.
Pull from every source that matters
1,200+ ad networks, MMPs, ad monetization platforms, and audience tools, plus web dashboards, email reports, and internal BI systems. The most flexible extraction layer in the market.
Normalized before it hits your warehouse
Standardized schemas across networks, deduplicated user-level data, currency conversion, attribution joining, and creative metadata enrichment. Your data team gets data that’s analysis-ready on arrival.
Deliver to every major destination
Snowflake, BigQuery, Redshift, Databricks, Postgres, S3, GCS, SFTP, Tableau, Looker. Native delivery, no middleware, no custom pipelines.
Stop building and maintaining APIs
Stop maintaining one-off connectors and fixing schema changes every time a network updates its API. We support the infrastructure for you, so your engineering team focuses on higher-value work.
Feed your AI stack the truth
Every downstream tool, MMM model, agent, predictive engine, BI dashboard, runs on whatever data quality you give it. Singular is built to give it the cleanest available.
Move at the speed your team does
Aggregate data updated every 6 hours, user-level data hourly, and 95% of events delivered within 3 hours of occurring. Real-time for real decisions.
Smarter Insights.
Faster Growth.
Powered by AI
Free for 14 days. No credit card required.
MARKETING TOOLKIT
Built for the data team that has to make every AI tool work
The end-to-end attribution and analytics platform for driving faster growth with smarter ROl insights, powering your team in the age of AI.

DATA FOUNDATION
Pull data from any marketing source
APIs, web dashboards, email reports, internal BI systems, and partner integrations. Singular’s extraction layer handles every method networks expose, including the messy ones your team currently scrapes manually.

DATA FOUNDATION
Standardize schemas across every network
Mobile attribution, web attribution, cross-platform tracking, ad revenue, cost, creatives, bids, audiences, and conversions, all normalized into customizable schemas your warehouse can read without translation.

ACTIVATION
Deliver warehouse-ready data, anywhere
Native connectors to Snowflake, BigQuery, Redshift, Databricks, Postgres, S3, GCS, SFTP, Tableau, and Looker. Plug-and-play, no custom code, no middleware, no manual reconciliation.

ACTIVATION
Hand off pipeline maintenance
Schema changes, network API updates, and reliability incidents are managed by us. Free up engineering capacity for the work that actually moves the business.

ACTIVATION
Scale up and down without re-engineering
Volume spikes, new channels, new regions, and seasonal swings all flow through the same managed pipeline. No re-architecting when your campaigns grow, no breakage when they contract.

DATA FOUNDATION
Optimize on near real-time data
Aggregate refreshed every 6 hours, user-level refreshed hourly, 95% of events delivered within 3 hours. Fast enough for daily optimization, governed enough for monthly board reporting.
GOT QUESTIONS?
Marketing ETL FAQ
Marketing ETL is the process of extracting marketing data from ad networks, MMPs, ad platforms, and analytics tools, transforming it into normalized schemas, and loading it into a data warehouse, BI tool, or storage destination. Unlike general-purpose ETL tools that move any data type, marketing ETL is purpose-built for the formats, edge cases, and metadata that ad networks expose, including campaigns, creatives, costs, attribution, and ad revenue. Singular’s marketing ETL pulls from over 1,200 sources, normalizes the data automatically, and delivers it to Snowflake, BigQuery, Redshift, Databricks, and any major destination. Used by data teams at LinkedIn, Microsoft, Lyft, and Airbnb.
General-purpose ETL tools are great at moving structured database data between systems. They struggle with the realities of marketing data: messy schemas that change without warning, attribution logic, currency conversion, deduplication of user-level events, ad-monetization data formats, and the long tail of regional and niche networks. Singular is built specifically for marketing data, with normalization, attribution joining, and creative metadata enrichment baked into the pipeline. The result is data that arrives in your warehouse already analysis-ready, instead of data your team has to clean before it’s usable. Singular also pulls cost data from 1,200+ networks and joins it to attribution at the source, something pure ETL tools can’t do.
Singular delivers four data types: aggregated campaign data (cost, installs, impressions, clicks, conversions, KPIs broken down by network, app, OS, country, creative, and other dimensions), aggregated ad monetization data (ad revenue, requests, impressions), user-level attribution data (conversions, in-app events, SKAdNetwork postbacks, cross-device touchpoints), and user-level ad revenue data (impression-level revenue from mediation partners including IronSource, AppLovin, and MoPub).
Aggregated data is delivered every 6 hours, and user-level data is delivered hourly. For user-level events specifically, 95% are exported within 3 hours of occurring. Actual freshness depends on the upstream network: some networks expose data in near-real-time, others on a 24-hour lag. Singular delivers as soon as the source provides it, with no additional processing delay introduced by the pipeline.
ETL moves data from operational sources (ad networks, apps) into a data warehouse for analysis. Reverse ETL moves data the other direction: from the warehouse back into operational tools (ad platforms, audience managers, CRM) so segments, models, and predictions built on warehouse data can drive campaigns. Singular supports both, ETL through Marketing ETL, reverse ETL through Audience Management, with a managed pipeline for syncing audiences and conversion events back to ad networks.
Yes. Singular delivers natively to Snowflake, BigQuery, Redshift, Databricks, Postgres, S3, GCS, SFTP, Tableau, and Looker. Aggregate, user-level, and log-level data are all supported, with standardized schemas designed for downstream querying. The pipeline runs as a managed service, so changes to network APIs, new channel additions, or warehouse schema updates don’t require your engineering team to intervene.
Every AI marketing tool, from MMM models to predictive bidding to GenAI campaign agents, runs on the historical and live data your team gives it. Inconsistent campaign naming, missing cost data, duplicated user-level events, and unnormalized schemas all become noise the model has to learn around. Cleaner data layer in, better AI output downstream. Singular’s marketing ETL is the foundation that makes the rest of the modern AI stack actually work.






