Customer data platform
Unify your customer data in your own BigQuery. Build segments, sync audiences, run journeys and personalise your store, on the same data you report on. And let your AI agent do the work over MCP.
Unified customer profiles
Orders, site behaviour and email engagement joined per customer, in your own warehouse.
Segments
Build segments on everything you know about a customer, see their size, overlap and what sets them apart.
Audiences
Sync segments to Meta Ads, Google Ads, Brevo, Klaviyo and ActiveCampaign, refreshed on the cadence you set.
Journeys
Multi step journeys into Brevo and Meta, with the lift measured against a holdout.
Onsite personalisation
A different storefront per audience on Shopify or your own site, plus popups, bars and slide ins.
Recommendations and search
Frequently bought together and trending products, and typo tolerant site search, from your own orders.
Your warehouse, not ours
Many CDPs keep a copy of your customers in their own store. Verity runs on your own BigQuery, in your own Google Cloud project, with your own access rights. Segments are defined on the profiles in that warehouse, so the audience you sync is the customer you report on.
Bring your own BigQuery, or Verity provisions one in your name. You see every query and every cost, and if you ever leave, you keep everything that was built.
What you get
✓ Unified customer profiles and segments on your own BigQuery
✓ Audiences to Meta Ads, Google Ads, Brevo, Klaviyo and ActiveCampaign
✓ Multi step journeys, measured against a holdout
✓ Storefront personalisation on Shopify, set up in the theme editor without code, and on your own site
✓ Onsite messages: popups, bars and slide ins
✓ Product recommendations and site search
✓ Chat with your data, dashboards and attribution on the same profiles
✓ An MCP server with 100+ tools for ChatGPT, Claude, Codex and Cursor
AI that acts
Through Verity’s MCP server, ChatGPT, Claude, Codex or Cursor can explore your customers, build and size segments, and draft journeys and onsite campaigns. Syncing an audience or putting a journey live comes back as a review link, and a person approves it in Verity.
How Verity works over MCP →You, in ChatGPT or Claude
Ask for an audience
“Find customers who bought through paid social but not in the last 90 days, and get them ready for Meta Ads.”
The agent, over MCP
Builds and sizes a draft segment
Lapsed paid social buyers: 4,812 customers. Sync to Meta Ads proposed, with a review link.
A person, in Verity
Approves what reaches a customer
Opens the review link, checks the audience and switches the sync on.
Compare
Side by side with the CDPs ecommerce teams look at most: data, activation, analytics, AI agents and pricing, checked against each vendor’s public sources.
Verity vs
Hightouch
Composable CDP on your warehouse versus one managed platform with analytics and MCP built in.
Read the comparison →
Verity vs
RudderStack
Event pipeline and agentic CDP for data teams versus a managed marketing platform with activation built in.
Read the comparison →
Verity vs
BlueConic
Enterprise packaged CDP with its own profile store versus a warehouse native platform you can run from Claude.
Read the comparison →
Verity vs
Twilio Segment
The standard event pipeline and packaged CDP versus a warehouse native platform with an MCP server.
Read the comparison →
Verity vs
Bloomreach
Marketing automation with its own sending channels versus a warehouse native CDP that activates through your tools.
Read the comparison →
Verity vs
Spotler Activate
Packaged ecommerce CDP from the Spotler suite versus a warehouse native CDP with analytics and MCP.
Read the comparison →
A customer data platform that keeps customer profiles and segments in your own data warehouse instead of in a separate copy at the vendor. You keep control over the data and its cost, and there is no second customer database to keep in sync. Verity runs on your own BigQuery.
Both. Verity is an AI marketing data platform: it connects your ad, store, analytics and email data, answers questions and builds dashboards on it, and activates it as a customer data platform with segments, audiences, journeys and onsite personalisation. One platform, one set of definitions.
Several CDPs now offer an MCP server, with large differences in what an agent may read and change. Verity has 100+ tools with a public reference, covering analysis, dashboards, segments, journeys, onsite campaigns and data management, and a person approves anything that reaches a customer. Our comparison pages show how other CDPs handle this.
Verity runs on BigQuery, in your own Google Cloud project. Bring your own, or Verity provisions one in your name. It also reads from Snowflake and Postgres, and from your ad, store, analytics and email platforms.
No. On Shopify, Verity installs as an app: you grant theme access with one click, switch on the Verity app embed and drop a Verity block into any section in the Shopify theme editor. Each version a segment sees is an ordinary theme section you build the way you always do. No Liquid, no JavaScript and no developer.
Yes, up to the last click. An agent can build a segment, draft a journey, set up a storefront campaign per audience, design an onsite message and propose the audience sync or the change to recommendations. Going live is one approval by a person in Verity, through the review link the agent hands you. An agent can also pause a live journey on its own.
Ecommerce and B2C marketing teams that want a CDP, analytics and AI agents in one managed platform, without building the data stack themselves. Missing connectors are built in house at onboarding, and support is in Dutch and English.
From €500 per month, excl. VAT, priced on the parts you use: Analytics, Data Management and Activation. Onboarding starts with a demo and a free trial on your own data.
Book a demo and see your own customers as profiles, segments and audiences, followed by a free trial.