--- title: "Facebook Ads Dashboard, Built by AI on Your Data | OWOX" canonical: "https://www.owox.com/dashboards/facebook-ads" updated: "2026-10-23" --- AI dashboard · Facebook Ads # Facebook Ads dashboard, built by AI on your Data Model Facebook Ads spend, clicks and conversions next to the orders the store actually recorded, campaign by campaign. 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) [Get Started Free](https://www.owox.com/app-signup) · or [book a call](https://calendly.com/owox/book-a-call) ## The dashboard ## What each view answers ## Three 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 does Facebook claim, and what did we get? Opens with what the numbers mean: what Facebook leaves after ad spend, how far its claims run ahead of the store, and which campaign returns most per $1. Then spend, clicks and claimed conversions against the store's orders, with what Facebook claims per $1 next to what the store recorded. [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) [Facebook ROAS](/metrics/facebook-roas) [Facebook CPA](/metrics/facebook-cpa) Claims vs store ### Which campaign is over-claiming? Each campaign's claimed conversions against the store's orders, net sales and profit after ad spend on the same campaign name, with how many conversions it claims per order. The campaigns add up to the Summary. [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) Delivery ### What are we paying for reach? Impressions, clicks, CTR, CPC and CPM by campaign, and how each campaign's spend moved on last year. [Unified Ad Spend](/data-models/e-commerce#mart-unified-ad-spend) [CTR](/metrics/click-through-rate) [CPC](/metrics/cost-per-click) [CPM](/metrics/cost-per-mille) ## 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. [Facebook ROAS](/metrics/facebook-roas) [Facebook CPA](/metrics/facebook-cpa) [Click-through rate](/metrics/click-through-rate) [Cost per click](/metrics/cost-per-click) [Cost per mille](/metrics/cost-per-mille) ## 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 ### What Facebook claims sits next to what the store recorded Unified Ad Spend carries the platform's own claim; Sessions and Purchases carry the store's orders on the same campaign name. Neither replaces the other. ![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) Two sources, one campaign name. **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) ## 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 - [Get Started Free](https://www.owox.com/app-signup) - [Facebook ROAS](https://www.owox.com/metrics/facebook-roas) — /metrics/facebook-roas.md - [Facebook CPA](https://www.owox.com/metrics/facebook-cpa) — /metrics/facebook-cpa.md - [CTR](https://www.owox.com/metrics/click-through-rate) — /metrics/click-through-rate.md - [CPC](https://www.owox.com/metrics/cost-per-click) — /metrics/cost-per-click.md - [CPM](https://www.owox.com/metrics/cost-per-mille) — /metrics/cost-per-mille.md