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The marketing knowledge layer your AI needs to be right.
Adverity Atlas connects to your existing warehouse and gives any AI a governed understanding of what your marketing data means. No migration. No rip-and-replace.
Trusted by leading brands and agencies.
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Most marketing AI pilots fail before production. The problem is a lack of context.
Your AI doesn't know you reallocated budgets three days ago, or that a new promotion launched in two markets last week. So it gives you confidently wrong answers.
The fix is providing AI a better foundation.
The three pillar foundation that
makes marketing AI work.
Adverity Atlas sits on top of any data warehouse and gives any AI an accurate understanding of what your marketing data means.
Atlas is built on three pillars: knowledge, context, and tools. It works as an autonomous marketing analyst through the UI, and as the knowledge layer your own agents and internal builds run on.
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- 40+ canonical marketing concepts pre-encoded. Every metric that matters, with cross-platform field mappings built in
- "Cost" resolved across every platform. Field names harmonized automatically before any investigation runs
- Brand and naming conventions captured. Your brand profile, campaign naming patterns, and benchmarks applied to every analysis
- Grows as your team uses it. Definitions you set once apply to every subsequent investigation
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- Automatic schema discovery. Structure, field relationships, and data types understood on connection, without manual configuration
- Cross-system joins. Ad platforms, CRM, and analytics joined at investigation time across systems with no common key
- Business context. Active promotions, campaign objectives, budget changes, and live tests incorporated at investigation time so AI can interpret changes accurately.
- Files as first-class context. Spreadsheets, media plans, and PDFs queried alongside warehouse data in the same conversation
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- SQL execution across Snowflake, BigQuery, Databricks, and Redshift. Automatic dialect translation, no manual configuration
- Self-healing queries. Atlas rewrites and retries failed queries without human intervention
- Full provenance on every answer. Inline citations trace any answer back to its source system and fields
- Marketing-specific analytics. Anomaly detection, budget pacing, forecasting, and MMM surfaced inline
1. Knowledge
Pre-encoded marketing intelligence that makes Atlas accurate before any investigation runs — and grows as your team uses it.
- 40+ canonical marketing concepts pre-encoded: every metric that matters, with cross-platform field mappings built in.
- "Cost" resolved across every platform: field names harmonized automatically before any investigation runs.
- Business context captured: your brand, naming conventions, and benchmarks applied to every analysis.
- Grows as your team uses it: definitions you set once apply to every subsequent investigation.
2. Context
Per-investigation understanding of your specific data, built fresh every time. No static mapping. No pre-built model required.
- Automatic schema discovery: structure, field relationships, and data types understood on connection, without manual configuration.
- Cross-system joins: ad platforms, CRM, and analytics joined at investigation time across systems with no common key.
- Files as first-class context: spreadsheets, media plans, and PDFs queried alongside warehouse data in the same conversation.
- Built fresh for every investigation: not cached from a static mapping.
3. Tools
What executes on your data: running queries, recovering when they fail, and tracing every answer back to its source.
- SQL execution across Snowflake, BigQuery, Databricks, and Redshift:
automatic dialect translation, no manual configuration. - Self-healing queries: Atlas rewrites and retries failed queries without human intervention.
- Full provenance on every answer: inline citations trace any answer back to its source system and fields
- Marketing-specific analytical capabilities: anomaly detection, budget pacing, forecasting, and MMM surfaced inline.
Automation: your data, continuously monitored.
Knowledge, context, and tools are the foundation. Automation is what the three working together enable.
- 21 pre-built templates as a starting point: Spend Waste Detector, Budget Anomaly Alert, Creative Fatigue Detector, and 18 more across budget, creative, pacing, and attribution categories
- Automation Packs: configure brand, market, and date range once and provision a coordinated suite of monitors in a single step
- Custom automations: build from scratch using free-form instructions, or extract directly from any chat investigation in one click
- Conversation to automation: Atlas extracts the successful analytical path from any investigation, parameterises the variables, and puts it on a schedule. Your team moves from commissioning reports to acting on continuously monitored signals.
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One product. Two ways to use it.
Results within minutes. Production-ready in a day.
Connect Atlas to your warehouse. Run an investigation. Your team has a working analyst before lunch. No pre-built data model required. No migration. No six-month implementation. No professional services contract.
Enterprise marketing teams trust Adverity with their data foundation.
92% of G2 reviewers rate Adverity 4 stars or above.
44% cite support as a standout positive.
(Source: G2 review data, Summer 2026).
44% of G2 reviews cite Adverity's support as a standout positive.
(G2, SUMMER 2026. BASED ON 263 REVIEWS)
Security & compliance
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No lock-in. No migration
Atlas works on any existing warehouse, it does not require Adverity Connect.
If you don't yet have a trusted data foundation, Adverity Connect delivers harmonized marketing data from 600+ sources into your warehouse.
Deploy marketing AI your team and your board can defend.
Connect Atlas to your warehouse and your team has a working autonomous marketing analyst within minutes. Every answer is governed, every decision traceable, every definition yours.