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The marketing data pipeline, end to end

One platform takes marketing data from 1,400+ data sources into a warehouse you control, then to the dashboards and answers your team acts on.

1,400+ data sourcesSOC 2 Type IIAny warehouse or BI tool

Every ad, CRM and analytics account syncs on schedule

  • Meta Ads 14 accounts Synced 06:00
  • Google Ads 9 accounts Synced 06:00
  • LinkedIn Ads 3 accounts Synced 06:05
  • Salesforce Opportunities Synced 06:10
Data extraction & loading

Every record lands in a warehouse you control

  • MARKETING.AD_PERFORMANCE 2.4M rows Loaded 06:12
  • marketing.crm_pipeline 310K rows Loaded 06:15
  • marketing.web_sessions 8.1M rows Loaded 06:18
  • marketing.ad_spend_daily 5.6M rows Loaded 06:21
Data ownership

Three platforms, three spend fields, one column

Source As delivered spend_usd
Meta Ads amount_spent €1,140 1,240
Google Ads cost_micros 980000000 980
LinkedIn Ads costInLocalCurrency £410 520
Data transformation

A campaign name breaks your rule, and the fix goes back to Meta

Your rule channel_region_objective_quarter

  • fb-retarget US q4 Breaks the rule
  • meta_us_retargeting_2026q4 Fixed, synced to Meta
  • Budget pacing at 128% of plan Alert sent
Marketing data governance

The week's numbers, in the BI tool your team already uses

Spend
$48.2K
Revenue
$164K
ROAS
3.4x
Revenue by week, last 8 weeks Opens in
Reporting & insights

A question in plain English, answered from the same data

which channel drove the most revenue last week?

Google Ads led, with Meta second:

Google Ads $71K
Meta Ads $52K
LinkedIn Ads $41K
AI Agent

Illustrative data

Six products, one pipeline

Improvado is a marketing data platform for enterprises and agencies. Its six products take data from 1,400+ data sources to an answer, and each hands the next one clean, governed data.

1 · Extract

Data extraction & loading

Ad, CRM and analytics data, on schedule. 1,400+ data sources, unlimited accounts, no API limits to manage. Sources such as Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Salesforce and HubSpot.

2 · Load

Data ownership

Every record in a warehouse you control. A hosted, managed or your own warehouse, and several destinations at once. Warehouses such as Snowflake, Google BigQuery, Databricks and Amazon Redshift.

3 · Transform

Data transformation

Model data into analysis-ready tables. Pre-built models, field mapping and one reporting currency, without code.

4 · Govern

Marketing data governance

Catch campaign errors before launch. Pre-flight checks on naming, targeting and budget, with alerts when pacing slips.

5 · Report

Reporting & insights

Dashboards and answers your team acts on. Ready-made dashboards that open in Power BI, Looker Studio and Tableau.

6 · Ask

AI Agent

Ask your marketing data in plain English. Answers come from your own data, as charts, tables or CSV, and it schedules reports. For example: which channel drove revenue, across Google Ads, Meta Ads and LinkedIn Ads.

Built on the same pipeline

What customers report

Where the data goes, and who uses it

Load it into your warehouse, open it in your BI tool, or hand it to any AI agent.

  • Data sources

    Explore our collection of pre-built sources Such as Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Salesforce and HubSpot.

  • Data warehouses

    Organize data in your preferred storage Such as Snowflake, Google BigQuery, Databricks and Amazon Redshift.

  • Reporting tools

    Analyze data via dashboards for any BI tool Such as Looker Studio, Tableau and Power BI.

  • Any AI agent via MCP

    Connect any AI agent to your marketing data Such as Claude, ChatGPT and Cursor.

  • Improvado for Snowflake

    Harmonize and analyze marketing data inside Snowflake. Such as Snowflake.

  • Improvado for BigQuery

    Centralize marketing data in Google BigQuery. Such as Google BigQuery.

  • AI agents

    Claude, Codex or your own agent, on one governed connection. Such as Claude and OpenAI Codex.

  • Dashboards

    Marketing dashboards for every channel, built from your data. Such as Looker Studio and Tableau.

  • SOC 2 Type II Attested on every plan
  • HIPAA We sign Business Associate Agreements
  • GDPR & CCPA DPA with EU Standard Contractual Clauses
Security and compliance
FAQ

Platform questions, answered

What is the Improvado platform?

Improvado is a marketing data platform that extracts, transforms, governs and analyzes marketing data for enterprises and agencies. It connects 1,400+ data sources, loads the data into a warehouse you control, models it into analysis-ready tables, checks campaigns against your rules, and answers questions through dashboards and an AI Agent.

Where does my marketing data live?

In the storage you choose: Improvado loads data into a hosted or managed warehouse, or into one you own, such as Snowflake or BigQuery. You can keep the data in your own storage and nowhere else, and load several destinations at once.

Which BI tools and AI agents can use the data?

Dashboards work in Power BI, Looker Studio and Tableau, and any AI agent can read the same data through MCP, including Claude, ChatGPT and Cursor. MCP, the Model Context Protocol, is the open standard AI agents use to reach external tools and data.

How does the AI Agent answer questions?

You ask in plain English and the AI Agent answers from your own marketing data instead of sending you to build a report. Through Discovery API it can also query a connected platform's API live, using a connection you already have, without loading anything into a warehouse first.

How is Improvado priced?

By plan and data volume, not by a share of your ad spend. MCP Only is a monthly plan for teams that work through their own AI agent; Starter, Growth and Enterprise are annual plans, all connectors and destinations come with Starter and up, and Advanced Intelligence and Creative Analytics are add-ons. Each plan's starting price is on the pricing page.

See the pipeline on your own data

A demo on your own sources, from the first sync to the first answer.

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