--- title: "Paid Channels Report: an AI Dashboard on Your Data | OWOX" canonical: "https://www.owox.com/marketing-dashboards/google-analytics-4-paid-channels-report-template" updated: "2026-10-23" --- AI dashboard · paid channels # Paid channels report, built by AI on your Data Model Every paid platform's spend against the sessions, orders and net sales it brought, and against what each platform claims. Claude built it through OWOX MCP, and every number comes from a governed Data Mart, not from the AI's guess. 4 Data Marts · Built by Claude via OWOX MCP · Refreshed every Report run · [E-commerce data model](/data-models/e-commerce) ## The dashboard ## What each view answers ## Four questions, one [Data Model](/data-models/e-commerce) Every view answers one question a marketing or sales lead asks. Between them they read four of the twelve Data Marts in the e-commerce Data Model below, and each view names the ones it uses, so you can open the definition behind any number. ![The E-commerce data model: 12 Data Marts and how they join](https://cdn.owox.com/www/portfolio-management-data-model/e-commerce/diagram/10.svg/w=1600,fit=scale-down,format=auto) [E-commerce data model · 12 Data Marts · 15 relationships · open it →](/data-models/e-commerce) Summary ### What is paid media returning? Opens with what the numbers mean: whether paid media pays for itself, which platforms lose money, where the best return is and how far the claims run ahead. Then spend across seven platforms against paid sessions, conversion and the net sales the store recorded, per $1, next to what the platforms claim. [Unified Ad Spend](/data-models/e-commerce#mart-unified-ad-spend) [Sessions](/data-models/e-commerce#mart-sessions) [Traffic Sources](/data-models/e-commerce#mart-traffic-sources) [Purchases](/data-models/e-commerce#mart-purchases) [ROAS](/marketing-metrics/return-on-ad-spend) Platforms ### Which platform earns its budget? Spend, clicks, sessions, conversion, store orders, store net sales and profit after ad spend for every platform, with the platform's own CPA. [Unified Ad Spend](/data-models/e-commerce#mart-unified-ad-spend) [Sessions](/data-models/e-commerce#mart-sessions) [Traffic Sources](/data-models/e-commerce#mart-traffic-sources) [Purchases](/data-models/e-commerce#mart-purchases) [CPA](/marketing-metrics/cost-per-acquisition) Claims vs store ### How far apart are the claims? Conversions each platform reports against the orders the store recorded from its paid visits. [Unified Ad Spend](/data-models/e-commerce#mart-unified-ad-spend) [Sessions](/data-models/e-commerce#mart-sessions) [Purchases](/data-models/e-commerce#mart-purchases) Trend ### Where did the budget move? Monthly spend stacked by platform since January 2025. [Unified Ad Spend](/data-models/e-commerce#mart-unified-ad-spend) ## Metrics ## The metrics on this dashboard Each one is defined once in the Data Model and read the same way in every view. Follow a chip for what the metric means and how to calculate it. [Return on ad spend](/marketing-metrics/return-on-ad-spend)[Cost per acquisition](/marketing-metrics/cost-per-acquisition)[Conversion rate](/marketing-metrics/conversion-rate) · Ad spend ## Connected, not a snapshot ## An AI dashboard is only as true as what it reads Most AI dashboards start from an exported file. That works until the second export. On a CSV ### The AI guesses what revenue means, every time Each export is its own version of the truth, so two dashboards give two numbers. The file goes to whoever has it, and it is out of date the moment it is saved. ![Two exported files showing 29 and 32 orders for the same days](https://cdn.owox.com/www/content-marketing-dashboard/net-sales-review/body-vector/1-7by02w.svg/public) Which one goes to the board? On your Data Model ### Every platform on one grain, with one naming Unified Ad Spend brings seven platforms to one daily grain and the source names the store's sessions use, so each platform's spend meets the revenue it bought. ![Purchases in the e-commerce Data Model, joined through Orders to Sessions and Customers](https://cdn.owox.com/www/portfolio-management-data-model/e-commerce/diagram/10.svg/w=1600,fit=scale-down,format=auto#mart-purchases) One definition, every view. **Connecting the AI straight to the warehouse is not enough either.** A warehouse rarely holds the business context, so the AI still guesses what the numbers mean. The Data Model is where that context lives. ## How it is built ## From your warehouse to a dashboard in five steps Your analyst does step two once. After that, anyone with access asks their AI for the dashboard they need. 1. 01 · Your warehouse · BigQuery · Snowflake · Databricks · Redshift · Athena · Your data stays where it is. OWOX runs on it and keeps no copy. 2. 02 · Data Model · Data Marts · joins · metrics · Your analyst defines once what net sales, an order and a channel mean. 3. 03 · OWOX MCP and API · governed · permissions · The only door the AI gets: the Data Marts it may read, nothing raw. 4. 04 · Claude or ChatGPT · your own AI · Ask for the dashboard in plain words. It builds it on the Data Model. 5. 05 · AI dashboard · Report · every run · Kept as a Report, refreshed every time it runs, like Sheets or Excel. ## Build yours ## Build this on your own data Connect your warehouse, describe your business once, and let your AI build the dashboards your team asks for. [Get Started Free](https://www.owox.com/app-signup) · or [book a call](https://calendly.com/owox/book-a-call) ## Book a call You are booked. The invitation is on its way to , with the calendar invite and the meeting link. [Reschedule](#) [Cancel](#) ## Schedule a meeting You are booked. The invitation is on its way to , with the calendar invite and the meeting link. [Reschedule](#) [Cancel](#) ## Links Pages this page links to, on this site and on docs.owox.com. Where the page has a Markdown twin, its address follows the link. - [E-commerce data model](https://www.owox.com/data-models/e-commerce) — /data-models/e-commerce.md - [ROAS](https://www.owox.com/marketing-metrics/return-on-ad-spend) — /marketing-metrics/return-on-ad-spend.md - [CPA](https://www.owox.com/marketing-metrics/cost-per-acquisition) — /marketing-metrics/cost-per-acquisition.md - [Conversion rate](https://www.owox.com/marketing-metrics/conversion-rate) — /marketing-metrics/conversion-rate.md - [Get Started Free](https://www.owox.com/app-signup)