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Brief
Adverity

Adverity

Marketing Intelligence & Data Integrationadverity.com

Adverity unifies marketing data from 600+ sources into a single, analytics-ready platform, eliminating manual data work and enabling faster, more confident marketing decisions.

Last updated Jun 23, 2026 by ATDb automated enrichment · Connections updated Jul 13, 2026

Founded
2014
HQ
Vienna, Vienna, Austria
Connections
25

At a glance

Employees
201-500
Funding
$120M
Revenue
$20M-$50M
Stock
N/A
21integrations4competitors

About

Leading enterprise marketing data platform competing with Funnel, Supermetrics, and Salesforce Datorama, differentiated by end-to-end data management and AI-assisted harmonization

Adverity is a Vienna-headquartered marketing intelligence and data integration platform founded in 2014, designed to solve the pervasive challenge of marketing data fragmentation. The platform enables enterprises, agencies, and media companies to connect, transform, and analyze data from over 600 marketing and advertising sources — including paid media, social, CRM, web analytics, and more — through automated ETL (extract, transform, load) pipelines and a centralized data hub. Adverity's no-code interface and AI-assisted data harmonization capabilities make it accessible to both technical and non-technical marketing teams. The company serves a global client base that includes major brands such as Red Bull, IKEA, Unilever, and GroupM, as well as leading media agencies. Its platform sits at the intersection of marketing data management and business intelligence, offering capabilities spanning data connectivity, data governance, augmented analytics, and cross-channel performance reporting. Adverity competes in the marketing data integration and intelligence space alongside players like Funnel, Supermetrics, and Datorama (Salesforce). Adverity has raised significant venture funding and has expanded its presence across Europe and North America. The platform is particularly valued for its enterprise-grade scalability, data quality management features, and the ability to create a unified 'single source of truth' for marketing performance data. Its positioning as a full-stack marketing data platform — rather than just a connector tool — differentiates it in an increasingly crowded market.

Business model

SaaS

Target market

Enterprise

What they offer

  • Adverity Datatap

    Automated data connectivity and ingestion layer supporting 600+ pre-built connectors to marketing, advertising, and analytics platforms

  • Adverity Datastream

    Data transformation and harmonization engine that standardizes and enriches raw marketing data for downstream analysis

  • Adverity Insights

    Augmented analytics and visualization layer providing cross-channel performance dashboards and AI-driven recommendations

  • Data Governance & Quality

    Built-in data monitoring, anomaly detection, and quality controls to ensure reliable, trustworthy marketing datasets

  • Automated Reporting

    Scheduled and on-demand report generation with distribution capabilities for agencies and enterprise marketing teams

Key features

600+ pre-built data connectors for marketing and advertising platformsNo-code data transformation and mapping interfaceAI-assisted data harmonization and normalizationCross-channel marketing performance dashboardsAutomated data quality monitoring and anomaly detectionFlexible data destination support (data warehouses, BI tools, spreadsheets)Custom metrics and KPI builderRole-based access control and data governanceScheduled data refresh and pipeline automationWhite-label reporting for agencies

Use cases

Unified cross-channel marketing performance reportingAutomated agency client reporting at scaleMarketing mix modeling data preparationPaid media spend consolidation and optimizationMarketing data warehouse populationCampaign attribution and ROI analysisData quality auditing for marketing datasetsExecutive marketing dashboards and KPI tracking

Customer segments

Enterprise brands and Fortune 500 marketing teamsGlobal media and advertising agenciesMid-market e-commerce and retail companiesFinancial services and insurance marketersFMCG and consumer goods companiesMedia and publishing companies

Tech & specs

Technology stack

Cloud-native architecture (AWS/GCP)Python-based data processingREST API infrastructureMachine learning for data harmonizationSQL-based transformation engineOAuth 2.0 authentication

Security & compliance

SOC 2 Type IIGDPRISO 27001CCPA

Deployment

Cloud

API

Yes

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