For marketing analysts and CMOs, Improvado is a marketing intelligence platform that unifies 1,000+ ad, CRM, and analytics sources into one model, letting AI agents like Claude query performance and flag budget shifts.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Improvado positions itself as an agentic operating layer for marketing data — a single connection point across 1,000-plus sources that lets AI agents query performance in natural language and push budget or creative changes back into ad platforms, rather than a conventional reporting dashboard. Recent moves reinforce that direction: a Google Cloud BigQuery-ready designation, a Snowflake-based real-time monitoring launch, and continued sponsorship visibility at industry events like SXSW. Public conversation around the brand is a quieter footprint so far, tracking a platform built around backend data plumbing more than a consumer-facing product.
RB2B
Vector
Trigify
Dreamdata
CaliberMindActivision, ASUS, AdRoll, illy, SoftwareOne, University of San Francisco, AdCellerant, Eicoff, Yodel Mobile, Booyah Advertising
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Business Profile
Improvado started in 2015 and is based in San Diego, building a marketing data platform that aggregates more than 1,000 sources into a single model. The product has grown to let AI agents query that unified data and push budget and creative changes back into ad platforms, alongside a published API and MCP server. Customers include Activision, ASUS, AdRoll, illy, SoftwareOne, University of San Francisco, AdCellerant, Eicoff, Yodel Mobile, and Booyah Advertising. Improvado remains privately held and independent.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Improvado exposes a REST API for programmatic access to its unified marketing data model, alongside an MCP server that gives AI agents OAuth-authenticated access to roughly 84 tools: SQL querying, chart generation, ETL and pipeline management, and governance controls such as naming conventions and budget rules. The build-out runs from straightforward data retrieval toward agent-driven analysis and workflow actions layered on the existing data infrastructure.
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