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Brief
Improvado

Improvado

Marketing Analytics & Data Integrationimprovado.com

Improvado eliminates manual marketing reporting by automatically aggregating, normalizing, and analyzing data from 500+ sources, enabling enterprise teams to make faster, data-driven decisions without engineering support.

Last updated Jul 15, 2026 by ATDb automated enrichment

Founded
2017
HQ
San Diego, California, United States
Connections
28

At a glance

Employees
201-500
Funding
$34M
Revenue
$10M-$50M
Stock
N/A
23integrations5competitors

About

A leading enterprise marketing analytics and data aggregation platform competing in the Marketing DataOps and marketing intelligence space, known for its broad connector library and AI-powered reporting capabilities.

Improvado is a marketing analytics and data aggregation platform designed for enterprise marketing teams. Founded in 2017 and headquartered in San Diego, California, the company provides an end-to-end solution that connects to over 500 marketing and advertising data sources — including Google Ads, Meta, Salesforce, HubSpot, and programmatic platforms — automatically normalizing and transforming that data into unified dashboards and reports. Its AI-powered capabilities allow marketers to query data in natural language, automate cross-channel reporting, and surface performance insights without relying on data engineering resources. Improvado occupies a strong position in the marketing data integration and analytics space, competing with platforms like Funnel.io, Supermetrics, and Datorama (Salesforce Marketing Cloud Intelligence). Its differentiator lies in its enterprise-grade data pipeline combined with AI-driven analytics, enabling teams to go beyond simple data aggregation into predictive insights and automated anomaly detection. The platform is particularly valued by large brands and agencies managing complex, multi-channel media investments who need reliable, scalable data infrastructure. The company has raised meaningful venture funding and serves a global customer base that includes Fortune 500 brands and large digital agencies. Improvado's product suite spans data connectors, a transformation layer, a semantic layer, and pre-built dashboard templates tailored to marketing use cases, making it a comprehensive solution for marketing data operations (Marketing DataOps). Its focus on reducing time-to-insight and eliminating manual spreadsheet work resonates strongly with enterprise CMOs and marketing operations leaders.

Business model

SaaS

Target market

Enterprise

What they offer

  • Data Aggregation Engine

    Connects to 500+ marketing and advertising data sources including paid media, CRM, web analytics, and more, pulling data automatically on a scheduled basis.

  • AI Analyst (MARA)

    An AI-powered marketing analyst that allows users to query marketing data in natural language and receive instant insights, anomaly alerts, and performance summaries.

  • Marketing Data Transformation

    A no-code data transformation layer that normalizes, cleans, and maps raw source data into a consistent schema for cross-channel analysis.

  • Pre-built Dashboard Templates

    A library of ready-to-use dashboard templates for platforms like Google Looker Studio, Tableau, and Power BI, covering common marketing reporting use cases.

  • Semantic Layer

    A centralized business logic layer that ensures consistent metric definitions and KPIs across all reports and dashboards.

  • Data Warehouse Delivery

    Delivers clean, structured marketing data directly into cloud data warehouses such as BigQuery, Snowflake, and Redshift for further analysis.

Key features

500+ pre-built data source connectorsAI-powered natural language querying (MARA)Automated data normalization and transformationPre-built marketing dashboard templatesCross-channel attribution reportingAnomaly detection and automated alertsData warehouse integration (BigQuery, Snowflake, Redshift)Semantic layer for consistent metric definitionsScheduled data refresh and pipeline automationNo-code data transformation tools

Use cases

Cross-channel paid media performance reportingMarketing attribution and ROI analysisAgency client reporting automationExecutive marketing dashboards and KPI trackingMarketing data warehouse populationBudget pacing and spend monitoringCampaign anomaly detection and alertingConsolidating siloed marketing data into a single source of truth

Customer segments

Enterprise brand marketing teamsLarge digital marketing agenciesFortune 500 companies with complex multi-channel media investmentsMarketing operations and analytics teamsPerformance marketing teams managing large ad budgets

Tech & specs

Technology stack

Cloud-native architectureGoogle BigQuerySnowflakeAmazon RedshiftGoogle Looker StudioTableauMicrosoft Power BIREST APIsPythonAI/ML (natural language processing for MARA)

Security & compliance

SOC 2 Type IIGDPRCCPA

Deployment

Cloud

API

Yes

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