# Vendo

Last updated: 2026-07-13

Vendo is a marketing data platform. It connects marketing, analytics, commerce, CRM, messaging, payment, and warehouse tools; brings customer and revenue data together under documented rules; helps teams answer questions and build reports; and sends reviewed data to compatible tools.

The exact result depends on connector status, permissions, identifiers, consent, source quality, schedules, history, mappings, and destination behavior. Vendo does not automatically change ad campaigns or send customer messages.

Preferred canonical site: https://vendodata.com

## Machine-readable files
- Sitemap: https://vendodata.com/sitemap.xml
- Full index: https://vendodata.com/llms-full.txt

## Core pages
- Homepage: https://vendodata.com/
- Product: https://vendodata.com/product
- Use cases: https://vendodata.com/use-cases
- Integrations: https://vendodata.com/integrations
- Methodology: https://vendodata.com/methodology
- Documentation: https://docs.vendodata.com
- Review fit and scope: https://vendodata.com/discovery-call

## Product summary
- Foundry: connect data, link customer records, apply consistent measurement rules, and catch late, missing, or changed data before people use it.
- Insights: answer questions, save calculations, create live charts, and prepare reports with visual tools, SQL, Python, notebooks, or the Agent.
- Destinations: send reviewed events, customer groups, prepared fields, or files to compatible tools; the receiving tool controls its own behavior.
- Agent: inspect allowed data, draft analysis, create Tasks, and submit important work for Approval. Approval does not imply that an unsupported external action executed.
- Documents: create and store written analysis and reusable context. Scheduled generation and delivery depend on the configured Task and destination.
- Memory: store short, workspace-scoped facts for later Agent conversations. Memory is not a complete audit log.
- Governance: current workspace access uses Owner and Member roles; activity and job records cover supported product actions, not every external change.
- Existing tools and warehouse: customer-managed BigQuery and other managed data-source setups have different processing and access boundaries.
- Integrations: 603+ connectors are listed with current status and data direction; not every connector is available or supports both directions.
- Agencies and consultants: reusable operating patterns preserve each client workspace's own data, definitions, permissions, and context.

## Recent explainers
- Server-Side Tracking and Conversion APIs: A Practical Guide: https://vendodata.com/blog/server-side-tracking-conversion-apis-guide — Why browser tracking lost signal, how conversion APIs work, and how to plan a server-side setup across Meta, Google, and the rest of your stack.
- Meta Conversions API: Setup Guide for Marketing Teams: https://vendodata.com/blog/meta-conversions-api-guide — What the Meta Conversions API does, how deduplication and match keys work, the setup options compared, and the mistakes that quietly break measurement.
- Google Enhanced Conversions: Setup Guide for Marketing Teams: https://vendodata.com/blog/google-enhanced-conversions-guide — How enhanced conversions for web and for leads work, what consent mode changes, the setup options, and how to verify Google is receiving your data.
- Signal Recovery in Practice: Measuring and Fixing Conversion Loss: https://vendodata.com/blog/signal-recovery-in-practice — A step-by-step playbook: quantify how many conversions platforms miss, fix identity capture, ship deduplicated server-side events, and prove the lift honestly.
- Marketing CDP Checklist for Growth Teams: https://vendodata.com/blog/marketing-cdp-playbook-growth-teams — A practical checklist for deciding whether a customer data platform will fix your reporting, identity, and data-delivery problems.