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Adverity

Adverity is a marketing data integration and analytics platform that pulls campaign and business data from many sources, transforms it, and delivers unified reporting and performance views for brands and agencies.

Founded 2015 Vienna, Austria 201-500 employees Series C+ Updated Feb 2026

Adverity Pros & Cons

Key strengths and limitations to consider

Strengths

  • 600+ prebuilt connectors reduce custom API work
  • Warehouse-friendly exports (e.g., Snowflake, BigQuery)
  • Universal API connector covers niche/long-tail sources
  • Plans include usage allowance via unique data rows

Limitations

  • Cost can scale with data-row usage and refresh frequency
  • Transformation flexibility may not replace dbt for complex modeling
  • Connector granularity varies by source; needs validation per endpoint
  • Not a full BI layer; relies on downstream reporting tools

Ideal For

Who benefits most from Adverity

Quick Analysis

Adverity competes primarily in the marketing data integration/ETL and marketing performance reporting space, sitting between ad platform APIs and downstream destinations (data warehouses, BI tools, and spreadsheets). In practice it centralizes ingestion from hundreds of marketing and business sources, standardizes/harmonizes fields, and publishes curated datasets for cross-channel performance analysis.

Strengths include breadth of prebuilt connectors (including major ad, commerce, and analytics platforms), warehouse-friendly delivery, and a practitioner-oriented workflow for transforming and governing marketing data without building/maintaining custom pipelines. It’s a strong fit for teams comparing tools like Funnel.io, Improvado, Supermetrics, and (at the enterprise end) Informatica or Fivetran when the priority is marketing-specific schemas, faster time-to-reporting, and minimized API maintenance.

Buyers should shortlist Adverity when they need repeatable cross-channel reporting across multiple brands/regions, or when marketing data must reliably land in Snowflake/BigQuery and power BI at scale. Validate connector coverage for your exact endpoints (incl. attribution fields and breakdowns), row/usage limits that drive cost, how transformations are versioned/audited, and whether your org needs a broader ELT tool (Fivetran) or lighter extraction (Supermetrics) instead.

1

Global brand consolidating Google/Meta/TikTok spend into Snowflake for weekly ROI

2

Agency automating cross-client dashboards with standardized campaign naming rules

3

Retailer combining Amazon Ads + Shopify sales for product-level ROAS reporting

4

Growth team unifying GA4 + ad platform data for channel mix and budget pacing

Custom Pricing

Capabilities

Core Capabilities

Marketing Attribution (MTA/MMM) Business Intelligence / Reporting

Pricing

Model

custom

Key Features

  • Prebuilt connectors for ad, analytics, CRM, and commerce sources
  • Universal connector for unsupported APIs (Web Connect)
  • Data transformation and harmonization to a unified schema
  • Load/export to data warehouses, BI tools, and files
  • Scheduled refresh and automation for recurring reporting datasets
  • Connector/dataset governance controls (access and standardization)

Popular Integrations

Adverity works seamlessly with these tools:

Google Ads
Microsoft Advertising
TikTok Ads
LinkedIn Ads
Google Analytics
Adobe Analytics
HubSpot
Salesforce
Snowflake
Google BigQuery

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