Adverity
Digital analytics software
Marketing analytics software
E-commerce analytics software
Big data integration platforms
ETL tools
E-commerce data integration software
Data extraction tools
E-commerce software
Data integration tools
Cloud data integration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$500 per month
Free Trial
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What is Adverity
Adverity is a marketing data integration and analytics platform that centralizes data from advertising, web analytics, CRM, and e-commerce sources for reporting and analysis. It is used by marketing teams, analysts, and agencies to automate data extraction, transformation, and loading into dashboards or cloud data warehouses. The product combines a managed connector library with transformation workflows and governance features to support ongoing, repeatable marketing reporting.
Broad marketing connector coverage
Adverity provides prebuilt connectors for many common advertising, analytics, and commerce data sources, reducing the need to build and maintain custom API integrations. This is useful for teams consolidating paid media and performance data across multiple platforms. Connector-based ingestion also supports scheduled refreshes to keep reporting datasets current.
ETL plus transformation workflows
The platform supports data normalization and transformation steps that help align naming conventions, metrics, and dimensions across channels. This reduces manual spreadsheet work and improves consistency in downstream dashboards and warehouse tables. It fits teams that need repeatable pipelines rather than one-off exports.
Warehouse and BI integration options
Adverity is commonly deployed as a data pipeline feeding cloud data warehouses and BI tools, enabling centralized modeling and governance outside the application. This approach supports larger datasets and multi-team access patterns compared with dashboard-only tools. It also helps organizations standardize reporting while keeping flexibility in their analytics stack.
Implementation requires data expertise
While connectors simplify ingestion, building reliable cross-channel datasets still requires knowledge of marketing metrics, attribution nuances, and data modeling. Teams often need an analyst or data engineer to define transformations, QA outputs, and manage schema changes. Organizations expecting a fully turnkey analytics layer may face a learning curve.
Connector gaps and API changes
As with most connector-based platforms, coverage and depth can vary by source, and upstream API changes can affect fields, limits, or refresh behavior. Some edge-case metrics or custom objects may require workarounds or custom extraction. This can introduce ongoing maintenance for complex or highly customized stacks.
Cost scales with usage
Pricing in this category typically increases with the number of data sources, accounts, refresh frequency, and data volume. As teams expand channels or add regions/brands, total cost can rise and require governance over what is ingested. This can be a constraint for smaller teams with many accounts or high refresh needs.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free trial | 14-day free trial (features of Standard plan; limited to 100,000 unique data rows) | New accounts are automatically registered for a 14-day trial; trial uses Standard-plan feature set but with a 100,000 unique-data-row allowance; access ends when trial or row limit ends. |
| Standard | €/$500 per month | Includes 200,000 free monthly unique data rows; degressive price per row up to 20 million monthly rows; Standard connectors, enrichments and destinations; 1 workspace; instant data exploration & visualization. |
| Professional | €/$2000 per month | Includes 500,000 free monthly unique data rows; degressive price per row up to 200 million monthly rows; All connectors, enrichments and destinations; 2 workspaces; supports advanced BI & database destinations. |
| Custom / Enterprise | Custom pricing | Custom plans available for larger teams (additional data rows, features, sources, destinations); vendor requires contacting Adverity/sales for a tailored quote. |
Seller details
Adverity GmbH
Vienna, Austria
2014
Private
https://www.adverity.com/
https://x.com/adverity
https://www.linkedin.com/company/adverity/
