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Brief
Improvado

Improvado

Improvado automates the aggregation and transformation of marketing data from 500+ sources into unified dashboards and reports, eliminating manual data work and enabling faster, more accurate marketing decisions for enterprise teams.

improvado.comSan Diego, California, United StatesFounded 2014

Last updated Jun 13, 2026 by ATDb automated enrichment

Industry
Marketing Analytics & Data Integration
Business Model
SaaS
Target Market
Enterprise
Employee Count
201-500
Funding
$34M
Revenue Range
$10M-$50M
Stock Symbol
N/A
API Available
Yes
Market Position

Enterprise-focused marketing data pipeline platform competing in the marketing ETL and analytics automation space, known for its broad connector library and no-code approach

Overview

Improvado is a marketing data pipeline and analytics platform designed to help enterprise marketing teams automate the collection, transformation, and visualization of their advertising and marketing data. Founded in 2014 and headquartered in San Diego, California, the company connects to over 500 marketing and advertising data sources — including Google Ads, Meta, Salesforce, HubSpot, and programmatic platforms — and centralizes that data into a single warehouse or BI tool without requiring engineering resources. The platform addresses a critical pain point for large marketing organizations: the fragmentation of performance data across dozens of channels and tools. Improvado's ETL (Extract, Transform, Load) pipeline automates data normalization and harmonization, enabling marketers to build cross-channel attribution models, executive dashboards, and ROI reports at scale. The company has positioned itself as a no-code/low-code solution for marketing operations teams, reducing reliance on data engineering and IT. Improvado competes in the marketing data integration and analytics space alongside players like Funnel.io, Supermetrics, and Windsor.ai, but differentiates itself through its enterprise focus, breadth of native connectors, AI-powered features, and professional services support. The company has raised significant venture funding and serves a customer base that includes major brands and agencies seeking to unify their marketing intelligence infrastructure.

Products & Features

Improvado ETL Pipeline

Automated data extraction and transformation from 500+ marketing and advertising sources into a centralized data warehouse

Improvado AI Agent

AI-powered assistant that allows marketers to query and analyze their marketing data using natural language

Marketing Data Warehouse

Pre-built data warehouse solution optimized for marketing data storage and querying

Dashboard Templates

Pre-built dashboard templates for major BI tools like Tableau, Looker, and Power BI tailored to marketing use cases

Data Normalization Engine

Automated cross-channel data harmonization that standardizes metrics and dimensions across disparate ad platforms

Paid Media Performance Reporting

Unified cross-channel paid media reporting combining spend, impressions, clicks, and conversions across all ad platforms

Key Features
500+ native data source connectorsNo-code data pipeline setupAutomated data normalization and harmonizationAI-powered natural language data queryingPre-built marketing dashboard templatesCross-channel attribution modelingData warehouse integrations (BigQuery, Snowflake, Redshift)Scheduled automated data refreshesCustom metric and dimension mappingProfessional services and managed onboarding
Use Cases
Cross-channel paid media performance reportingMarketing ROI and attribution analysisExecutive marketing dashboardsAgency client reporting automationMarketing data warehouse consolidationBudget pacing and spend monitoringCampaign performance benchmarkingMarketing operations data automation
Customer Segments
Enterprise marketing teamsDigital marketing agenciesE-commerce brandsRetail and CPG companiesFinancial services marketing teamsTechnology companies with large ad budgets
Corporate history
  • 2014Founded
See alternatives to Improvado See integrations with Improvado (22)

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