Adverity | Marketing Data Intelligence

Trusted by leading brands and agencies.

Most marketing AI fails before it reaches production. The problem isn't the model.

You have the mandate, the budget, and the AI. What you're missing is clean, trusted data AI can actually reason on. "Cost" maps to 23 different field names across a typical enterprise stack. AI falters with the complexity. Nobody knows the answer is wrong until a decision has been made on it.

The fix is not a better AI. The fix is a better foundation.

Marketing knowledge layer

Sits on top of any data warehouse and gives any AI a clear understanding of what your marketing data actually means. Atlas makes marketing AI trustworthy and autonomous. No migration. No rip-and-replace.

Enterprise-grade marketing ETL

600+ actively maintained connectors dedicated to marketing. Built to run marketing operations at scale with continuous monitoring, marketing-specific harmonization and a powerful transformation layer.

Adverity Atlas: Unlock AI for your marketing team

Your AI works on your marketing data from day one with Atlas. Self-configuring and every answer traceable to its source.

Cross-platform questions answered in minutes, with full provenance provided.
Works with any data model; can improve and manage your schema mappingWorks on your existing warehouse and your chosen LLM, ready immediately

Built from a decade of enterprise deployments processing over $80B in ad spend, Atlas works as an autonomous marketing analyst and as the knowledge layer your AI program runs on when you're ready to build.

Adverity Connect: Build and maintain your marketing data foundation

Marketing data doesn't come clean, unified, or monitored. Connect fixes all three before it reaches your warehouse.

Every metric comparable across platforms: cost means the same thing everywhere
Problems caught before they reach your reports, not after
Scales to new brands, markets, and agency partners without rebuilding pipelines

Trusted by 600+ enterprise marketing teams, Connect delivers reliable, comparable data from the first pipeline.

How Adverity works.

Step 1

Atlas from day one.

From the moment Atlas connects to your warehouse, it works as an autonomous marketing analyst: investigating cross-platform questions, surfacing anomalies, running scheduled automations.

Step 2

The foundation your AI program runs on.

As your AI program scales, Atlas becomes the knowledge layer your agents, tools, and internal builds run on.

Step 3

Clean data underneath.

Adverity Connect harmonizes marketing data so metrics are comparable across platforms and delivers a trusted foundation into your warehouse. The data layer that makes everything above it reliable.

Adverity is rated a High Performer across ETL Tools, Data Extraction, and Enterprise

92% of G2 reviewers rate Adverity 4 stars or above.

(Source: G2 review data, SUMMER 2026).

No lock-in. Your data stays yours.

Adverity works on the stack you already have. Your warehouse, your LLM provider, your data stay where they are. Both products are built to add to your stack, not replace it.

600+ connectors, actively maintained.

Platform updates, field renames, schema changes are absorbed before they reach your data. The connectors list includes every major ad platform, analytics tool, CRM, and cross-departmental source, plus the long-tail regional and specialist platforms that enterprise marketing operations actually run.

Bring your own warehouse.

Atlas connects to any data warehouse, including Snowflake, BigQuery, Databricks, and Redshift. Connect delivers to any of them too. Your warehouse does not change. Your pipelines do not move.

Your choice of LLM.

Atlas supports OpenAI, Anthropic, Azure OpenAI, and Google Gemini, configured with your own credentials and encrypted at rest. Customer data goes to your chosen provider, not a shared Adverity model.

Enterprise-grade security and compliance, by design.

Governance is not a policy layer bolted on — it is structural. Tenant isolation is enforced at the database level. Every query is logged with actor identity and timestamp. PII is detected before data reaches any LLM prompt.

Support that shows up in reviews

44% of G2 reviewers name support as the standout positive, the single most mentioned theme across 263 reviews. Not a chatbot. A person, throughout.

*Source: G2 review data, Spring 2026*

Time to value

Connect Atlas to your warehouse and run your first investigation in the same session. Production-ready in 30 to 60 days. No professional services contract required before you start.

Frequently asked questions

What is Adverity?

Adverity is a marketing data intelligence company with two products: Adverity Atlas, a marketing knowledge layer, and Adverity Connect, an enterprise-grade marketing ETL. Atlas sits on top of any warehouse and gives any AI a governed understanding of what that marketing data means. Connect pulls data from 600+ sources, harmonizes it, and delivers it to the customer's warehouse. Together they are the foundation that makes enterprise marketing AI work.

What is Adverity Atlas?

Adverity Atlas is a marketing knowledge layer that sits on top of any data warehouse and gives AI the governed understanding of marketing data it needs to work accurately. It is built on three pillars: Knowledge (what marketing metrics mean, built from $80B in ad spend), Context (your specific warehouse and business rules, understood at query time), and Tools (SQL execution across Snowflake, BigQuery, Databricks, and Redshift, with self-healing and full provenance). Through the UI it works as an autonomous marketing analyst; via API, CLI, and MCP server it becomes the foundation any AI agent or internal build runs on. Atlas is warehouse-agnostic and does not require Adverity Connect.

What is Adverity Connect?

Adverity Connect is an enterprise-grade marketing ETL platform. It pulls data from 600+ sources, applies marketing-specific harmonization so metrics are comparable across platforms, monitors data quality continuously, and delivers to a wide range of data warehouses and lakes: Snowflake, BigQuery, Amazon Redshift, Databricks, Azure Synapse, Microsoft SQL Server, Firebolt, SAP Hana, Oracle PostgreSQL, and more. Adverity maintains the connectors directly. Adverity manages connector updates and platform changes, reducing the maintenance burden on your team. Connect is the data foundation layer; analytics and AI investigation is what Adverity Atlas does. Adverity Atlas is a separate product that does not require Connect.

What is a marketing knowledge layer?

A marketing knowledge layer is a governed foundation that sits between a data warehouse and any AI working on your marketing data. It encodes what marketing concepts mean: how ROAS is calculated, which fields map to "cost" across platforms, how metrics aggregate correctly, and what your organization's specific business rules are. Without one, AI picks field names at random and produces confidently wrong answers ("cost" maps to at least 23 different field names in a typical enterprise stack). Adverity Atlas is the only marketing knowledge layer built specifically for enterprise marketing, from a decade of deployments processing over $80 billion in ad spend.

What makes Adverity built specifically for marketing?

Most data tools are built for general use and adapted for marketing. Adverity is built for marketing from the ground up. Adverity Connect's harmonization layer knows that "cost" in Google Ads and "spend" in Meta refer to the same concept, and resolves it automatically before the data reaches your warehouse. Adverity Atlas's knowledge base is built from a decade of enterprise marketing deployments processing over $80 billion in ad spend, encoding the concepts, metrics, and field relationships that are specific to marketing. Generic data tools don't have this. Adverity does, because marketing is the only use case it was ever built for.

Does Adverity Atlas require Adverity Connect?

No. Adverity Atlas connects directly to your existing Snowflake, BigQuery, Databricks, or Redshift warehouse, whatever pipeline put the data there. Adverity Connect and Adverity Atlas are separate products solving separate problems; neither requires the other. Connect customers have a trusted data foundation in place, which makes Atlas a natural next step. But Atlas works on any warehouse.

How quickly does Adverity Atlas deliver value?

Results within minutes. Production-ready in a day. Once connected to a warehouse, Atlas runs cross-platform investigations, surfaces anomalies, and answers natural-language questions against your data, with no pre-built data model or schema mapping required. There is no six-month implementation and no professional services contract needed before you can start.

Why do most marketing AI projects fail?

Not because the model is poor. Because the AI has no governed understanding of the data it's working with. "Cost" resolves to at least 23 different field names across a typical enterprise stack, and AI picks whichever it encounters first. Gartner projects over 40% of agentic AI projects will be cancelled by end of 2027, with data readiness as the primary cause. _(Source: Gartner, "Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027," 25 June 2025.)_ Adverity Atlas fixes this at the foundation level: pre-encoded marketing knowledge, your warehouse and business rules understood, and queries that self-heal and trace every answer back to its source.

The knowledge layer for marketing AI. And the data foundation it runs on.

Most teams come to us with one of two problems: their marketing data isn't trusted enough to act on, or their AI initiatives aren't delivering because the data underneath them isn't understood. Some have both. Whichever describes you, start where the problem is. The foundation you build now is the one your AI program runs on later.

Where marketing data becomes something AI can trust.

Adverity connects and governs marketing data so every decision your team and your AI make is one you can defend.