AI analytics and BI

AI analytics for ecommerce, on numbers you can trust.

Verity is the analytics and BI layer of an AI marketing data platform for ecommerce. Ask your marketing and store data in plain language and get answers, dashboards, reports and attribution that agree with each other, because they share one set of definitions in your own BigQuery.

See Data Chat See dashboards Ask from Claude or ChatGPT

Verity

Connected

Revenue down 14% day over day

Yesterday closed at €38.2K, the lowest in two weeks. The cause: a Meta Ads campaign paused at 14:00.

Last 14 days

Yesterday

Which campaign should I fix first?

Restart Spring Sale on Meta

It lost the most revenue yesterday and holds your highest ROAS over the last 30 days.

The problem

Every tool has its own version of the truth

Shopify, GA4 and Meta each report a different revenue for the same week. One counts VAT, one ignores refunds, one claims an order another channel also claims. A dashboard tool shows whatever it is fed, and an AI assistant on top of that guesses.

Verity settles the definitions first and then lets everyone ask. The team gets an answer in minutes instead of a ticket for the analyst, and the answer is the same in a chat, on a dashboard and in the monthly report.

Who it is for

✓ Ecommerce and B2C marketing teams without a full time analyst

✓ Founders and marketing leads who want one number for revenue and return on ad spend

✓ Data teams that want marketing to self serve on approved definitions

✓ Agencies that report to several clients, each in its own workspace and brand

What is in it

Five ways to work with the same numbers

Analyse is one part of Verity. Each product below has its own page, and all five read from the same definitions.

Data Chat

Ask a question the way you would ask an analyst. You get the number, a chart and the reasoning behind it, and you can keep asking.

Data Chat, the AI data analyst →

Dashboards

Live dashboards per channel and for the whole business, for the numbers you look at every week. Built for you, and yours to change.

Marketing dashboards →

Reports

Management and client reports written from your data, reviewed and approved by a person, in your own brand and emailed on the schedule you set.

Automated marketing reports →

Attribution

Compare attribution models side by side and add what customers tell you in a post purchase survey, so you see the return the ad platforms cannot show.

Marketing attribution →

Automations

Monitors watch a number against an earlier period, your target or a limit, and an analysis runs on a schedule and tells you what moved.

Scheduled analyses and alerts →

Why the answers are right

A semantic layer, approved by your team

A semantic layer is the agreed meaning of your numbers, kept in one place. Does revenue include VAT? Are discounts and refunds taken off? Does a returning customer count as new in a second store? Verity proposes these definitions from your data and a person approves them.

From then on Data Chat, every dashboard, every report and every alert calculates with those definitions. A business glossary explains each term in plain language, and targets and budgets sit next to the actuals. Already defining metrics in dbt? Verity reads those definitions instead of keeping a second copy.

How the data warehouse and semantic layer work

One definition, used everywhere

Revenue

Paid orders, after discounts and refunds, excluding VAT and shipping.

New customer

First paid order ever, across every store and channel.

ROAS

That revenue, divided by ad spend on all platforms together.

Example definitions. Yours are proposed from your own data and approved by you.

Next to or instead of your BI tool

How Verity differs from specialised tools

Verity is an AI marketing data platform, not a general BI suite. That is a choice: it does less across the whole company and more for the marketing and ecommerce team.

Next to a BI tool

Many teams keep Power BI, Looker or Tableau for finance and company wide reporting. Verity then covers marketing and ecommerce: the sources arrive modelled, and the team asks its own questions instead of waiting for a new report.

Instead of a BI tool

If your reporting is mostly marketing and store performance, Verity can be the only tool: dashboards, scheduled reports, targets and profit and loss statements on the same data. It is not built to replace a BI suite for all company data.

Compared with an AI chat on your warehouse

A general AI assistant on raw tables has to guess what revenue or a new customer means. Verity answers from definitions your team approved, with the access rights of the person asking.

Around it

What it connects to, and what is included

Analytics covers Data Chat, dashboards and reports. Automations and Activation are parts you add when you need them, and the price follows the parts you use.

Questions about AI analytics

What is AI analytics?

AI analytics lets you ask questions about your data in plain language and get an answer with a chart and an explanation, instead of building a report first. In Verity the answers, the dashboards and the reports all use the same definitions, so a number in a chat answer matches the number on your dashboard.

How does Verity keep AI answers correct?

Through a semantic layer: one agreed definition of every metric, such as whether revenue includes VAT, discounts and refunds. Verity proposes the definitions from your data, a person approves them, and every answer is calculated with them. The assistant does not invent its own version of a number. Read more in why a semantic layer makes AI answers accurate.

Can Verity replace Power BI, Looker or Tableau?

For marketing and ecommerce reporting it can: dashboards, scheduled reports, attribution, targets and profit and loss statements. For reporting across the whole company, such as finance, HR or operations, a BI suite remains the better fit, and Verity works next to it on the same BigQuery.

Which data can I ask questions about?

Everything you connect: Shopify and WooCommerce, GA4, Meta Ads, Google Ads, Microsoft Ads, ChatGPT Ads, Google Search Console, Klaviyo, Brevo and ActiveCampaign, plus data you already have in BigQuery, Snowflake or Postgres. See all integrations.

Do I need an analyst or technical knowledge?

No. You ask in plain language and read the answer as a chart, a table and a short explanation. An analyst can still open the query behind an answer and check how it was calculated.

Can I use it from ChatGPT or Claude?

Yes. The same questions, dashboards and reports are available from ChatGPT, Claude, Codex and Cursor through Verity’s MCP server, with 100+ tools and the same definitions and access rights.

Is analytics included in the price?

Verity is priced on the parts you use: Analytics, Data Management and Activation, from €500 per month excl. VAT. Analytics covers Data Chat, dashboards and reports. See pricing.

Ask your own data

Book a demo and see your own revenue, spend and customers answered, charted and reported, followed by a free trial.

Contact sales