Improvado is an AI-native marketing platform. Adverity Connect is enterprise-grade marketing ETL.

The core trade-off is a governed data foundation versus autonomous AI execution. One product cleans, structures, and delivers your data to the warehouse you own. The other promises to run your marketing on autopilot.

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Adverity makes two products.

Adverity Connect handles data integration and is the subject of this page. Adverity Atlas is a separate marketing knowledge layer. It works on Adverity Connect data or any other warehouse you already use.

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About Improvado

Improvado is an AI-native marketing platform that positions autonomous execution as its core value. Its homepage leads with "Your marketing now runs and improves itself on autopilot." It connects data from marketing sources, applies an AI layer that is positioned as a natural-language interface from strategy to live campaign and back, and includes Business Data QA (formerly Cerebro) for pre-built data quality rules. In April 2026, Improvado launched MCP-native integration, connecting to Claude, Cursor, Windsurf, and ChatGPT via a single OAuth connection.

At a glance

Features compared

	Adverity Connect	Improvado
Prebuilt connectors	600+ pre-built connectors across 24 marketing categories, actively maintained. Schema changes absorbed without customer involvement.	Connector count is internally inconsistent on Improvado's own site. The homepage and healthcare solutions page reference 1,000+ sources; the products page no longer lists a connector count. Do not rely on either figure as a definitive claim.
Data quality monitoring	4 universal monitors on every fetch (duplication, volume, timeliness, column consistency) + 5 custom rule types. Active automatically, no setup required. Issues surface before the warehouse.	Business Data QA provides pre-built quality rules. These are not automatically active on every pipeline fetch — they are a separate product layer requiring configuration.
Workspace nesting	Unlimited nesting depth by brand, market, agency, or business unit. Child workspaces inherit from parents. Sibling workspaces are isolated.	Capped by tier: Growth = 2, Advanced = 3, Enterprise = 5. No unlimited tier.
Data ownership and storage	Warehouse-first. Data delivered to the customer's own warehouse (Snowflake, BigQuery, Databricks, Redshift) or Adverity-managed Snowflake hosting. Customer controls governance and retention. No proprietary analytics copy created.	AI Agent runs on Improvado's ClickHouse database by default. Snowflake and BigQuery are available as alternatives. Data flows through Improvado's pipelines.
MCP and AI connectivity	MCP server in Beta (selected customers). Connects to Claude, ChatGPT, n8n, Make. Auth: MAPI key.	MCP integration live since April 8, 2026. Connects to Claude, Cursor, Windsurf, ChatGPT via OAuth. Positioned as MCP-native.
Security and governance	ISO/IEC 27001 (audited annually by TÜV Austria), SOC 2 Type 2, GDPR, UK GDPR, CCPA, HIPAA BAA available	SOC 2 Type II and ISO/IEC 27001 claimed. PCI DSS also referenced on the AI Agent page.

Why teams switch

The key differences

01
Governance that matches your org structure.
Improvado's pricing tiers cap workspaces at 5 even on Enterprise — Growth allows 2, Advanced allows 3, Enterprise allows 5. There is no unlimited tier. For a global brand managing markets across EMEA, APAC, and the Americas, or a media agency running separate data environments per client, 5 workspaces is a structural ceiling. Adverity Connect has unlimited workspace nesting depth. Workspaces can be organized by market, brand, agency, business unit, or any combination. Child workspaces inherit transformation rules and mappings from parents. Sibling workspaces are isolated. The hierarchy reflects how enterprise marketing organizations actually operate.
02
Your data, in your warehouse.
Adverity Connect is warehouse-first. Data is delivered to the customer's own warehouse — Snowflake, BigQuery, Databricks, Redshift, or Adverity-managed Snowflake hosting. The customer controls access, governance policies, and data retention. Improvado's AI Agent runs on Improvado's ClickHouse database or optionally on Snowflake or BigQuery. The data still flows through Improvado's pipelines. One G2 reviewer noted that external data is "owned by Improvado," requiring support intervention for updates. For organizations with governance policies that require data to live in their own infrastructure, the architectural difference matters.
03
Data quality monitoring that runs before AI touches anything.
Adverity Connect runs four universal monitors on every data fetch automatically — no setup required. They flag duplication, volume drops, timeliness failures, and schema changes before data reaches the warehouse. Improvado's Business Data QA provides pre-built quality rules but is a separate product layer, not automatically active on every pipeline fetch. When AI outputs are confidently wrong, the root cause is almost always upstream. The most common culprits: "cost" resolving to different fields across Google Ads, Meta, and TikTok, or a silent schema change that went undetected for two weeks. Connect catches these before any downstream tool sees them.

An honest view

When to choose

Choose Adverity Connect when

Your organization has more than 5 data environments.

If you manage data environments across multiple markets, brands, clients, or business units, Improvado's Enterprise cap of 5 workspaces is a structural limit you will hit. Adverity Connect has unlimited workspace nesting depth. Organizations running 20, 50, or 200 separate data environments do so on the same platform without re-architecting.

Procurement requires an established, independently-certified vendor.

Adverity Connect is used by 600+ enterprise customers. ISO/IEC 27001 is audited annually by TÜV Austria — a named, independent third-party. SOC 2 Type 2 is also independently audited on an annual cycle. Improvado has $34M in total funding, approximately 95 employees, and no new funding since May 2022. For procurement teams that apply scale and certification criteria during vendor evaluation, that gap is material.

Data quality problems are breaking your AI initiatives.

If your AI program produced wrong outputs — because "cost" resolved to different fields across platforms, or because a pipeline silently dropped data for 10 days — Connect's four universal monitors and Data Mapping layer are the structural fix. Four monitors run on every fetch without configuration. Data Mapping and the Data Dictionary ensure "cost" means the same thing across Google Ads, Meta, and TikTok before any downstream tool, AI or otherwise, touches it. Improvado's Business Data QA requires setup and does not run universally on every fetch by default.

Choose Improvado when

Autonomous AI execution is the primary buying criterion and your program is relatively contained.

If your team's goal is to hand campaign execution to an AI agent and your data environment fits within Improvado's workspace limits, Improvado's roadmap is built for that outcome. Its homepage positions "marketing now runs and improves itself on autopilot" as the core product promise. For smaller or mid-market teams without complex multi-market or multi-client governance requirements, the AI-first approach may be a better fit than Connect's governed data foundation model.

You are in healthcare or pharma and want a vendor with deep demonstrated investment in that vertical.

Improvado has a dedicated healthcare solutions page, pharma-specific compliance content, and anonymized case studies from telehealth and pharmaceutical customers. Business Data QA includes pre-built rules described as targeting compliance-sensitive sectors. Note: Adverity Connect also holds a HIPAA BAA (available since 2025) and ISO/IEC 27001 audited annually by TÜV Austria. The distinction is breadth of vertical-specific content and case study investment. Improvado has gone deeper in healthcare marketing specifically.

MCP connectivity to AI agents is an immediate requirement today.

Improvado launched its MCP integration on April 8, 2026. It connects to Claude, Cursor, Windsurf, and ChatGPT via OAuth and gives any MCP-compatible agent access to marketing data and unified metrics through a single connection. Adverity Connect has an MCP server in Beta for selected customers. If native MCP connectivity needs to be in production now rather than in an upcoming release, Improvado has it live.

Customer results

Teams that chose Adverity

60%improvement in data accuracyRead the story

400+hours a year savedRead the story

30%improved data accuracyRead the story

4.4 out of 5 stars from G2 reviewers. 96% of reviewers rate Adverity 4 stars or above. 44% cite support as a standout positive. (G2, FALL 2026. Based on 331 reviews.)

Switching

Most migration anxiety comes from the unknown. It shrinks fast once you map what you actually have.

Adverity Connect's implementation is not self-serve. Every customer gets a dedicated account manager from day one: not a ticketing system, not an onboarding checklist. 44% of Adverity's G2 reviewers cite support as the standout positive, the single most mentioned theme.

Adverity Connect is live within days. Your account manager works through the transition with you: mapping existing pipelines, setting up connectors, confirming data quality before the old system is switched off. You run both pipelines in parallel until the team is confident. Nothing gets cut over until you say it does.

A tool that doesn't fit your data requirements, breaks connectors without alerting you, or can't accommodate your org structure is not a neutral choice. It has a cost that compounds every month.

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Frequently asked questions

How does Adverity Connect compare to Improvado?

Adverity Connect is enterprise-grade marketing ETL. Improvado is an AI-native marketing platform. The primary structural difference is scope. Connect focuses on the data foundation: collecting from 24 categories of marketing sources, transforming and harmonizing metrics across platforms, running four automatic quality monitors on every pipeline, and delivering clean data to the customer's own warehouse or Adverity-managed Snowflake hosting. The customer controls governance and retention. Improvado focuses on AI-driven execution, with an autonomous AI agent that claims to plan, sync, and execute marketing campaigns from a single prompt. A second material difference is workspace governance: Improvado caps workspaces at 5 on its Enterprise tier; Connect has unlimited workspace nesting depth. The right choice depends on whether the primary buying criterion is a governed, warehouse-first data foundation or an AI-first autonomous execution layer.

How long does it take to migrate from Improvado to Adverity Connect?

Adverity Connect is live within days. A dedicated account manager is assigned from the first day and manages the transition: mapping pipelines, configuring connectors, and validating data quality before the previous tool is switched off. Both systems run in parallel during migration so nothing goes live until your team is confident in the new setup. Connect has 600+ pre-built connectors, which means most source connections are live within days of setup, not weeks.

Does Adverity Connect address data quality issues that affect AI outputs?

Yes. Four universal monitors run automatically on every data fetch — flagging duplication, volume drops, timeliness failures, and schema changes before data reaches the warehouse. No setup is required; these monitors are active on every pipeline by default. Connect's Data Mapping and Data Dictionary resolve cross-platform metric inconsistencies — for example, "cost" resolving to different fields across Google Ads, Meta, and TikTok — which is the most common root cause of AI outputs that are confidently wrong. Improvado's Business Data QA provides pre-built quality rules but requires configuration and does not run universally on every pipeline fetch by default.

How does Adverity Connect's connector count compare to Improvado's?

Adverity Connect has 600+ pre-built connectors across 24 marketing categories. All connectors are actively maintained. When source platforms change their APIs, schema changes are absorbed by Adverity without customer involvement. Improvado's connector count is inconsistent across its own site: the homepage and healthcare solutions page reference 1,000+ data sources, while the products page no longer shows a connector count, and the healthcare page lists 500+ pre-built integrations in the same paragraph as 1,000+ sources, treating these as separate figures. Because the figures are inconsistent on Improvado's own pages, no single number can be cited accurately.

Do I need Adverity Atlas to use Adverity Connect?

No. Adverity Connect and Adverity Atlas are independent products. Connect handles data collection, transformation, harmonization, monitoring, and delivery to your warehouse. Atlas is a separate marketing knowledge layer that works on any warehouse (Snowflake, BigQuery, Databricks, or Redshift) with or without Connect in the stack. You can use Connect without Atlas, Atlas without Connect, or both together. Atlas does not require Connect as a prerequisite.