AI marketing analytics that connects spend to revenue

Every ad network reports its own conversions, and each one counts generously. Google Ads claims a sale, Meta claims the same sale, the newsletter tool shows a click from the same customer, and Google Analytics credits the last click. Add them up and your marketing appears to have produced twice the revenue your bank account shows. A dashboard that puts these numbers side by side does not fix that. It just makes the disagreement prettier.

The question a business owner actually asks is simpler: which money brought customers, and what should change next week? The Analytics Robot is built to answer that question, not to add another screen of charts.

The robot reads from the accounts you connect, with read access scoped per source. It never needs your ad network passwords and you can disconnect any source at any time.

The robot matches leads and orders in your CRM or Shopify to the first and last tracked visit in GA4 and to the campaign tags on those visits. It then reports revenue by channel two ways: last touch, which shows what closed the deal, and first touch, which shows what introduced the customer. Where a deal has no tracked source, it stays in an unattributed bucket instead of being assigned to whichever channel looks best. That honest gap is useful in itself, because a large unattributed share usually means broken tagging, and the robot proposes a fix.

Revenue reporting from the CRM is part of Growth and higher plans. Starter includes the Analytics Robot with GA4 and ad account reporting and the weekly report, which is enough to see cost per lead by channel. The plan comparison is on the pricing page.

Say an online store spends $6,000 a month on ads: $3,500 on Google Ads, $2,500 on Meta Ads. The CRM and Shopify show $31,000 in revenue for the month. Meta Ads Manager reports $14,000 of purchases and Google Ads reports $19,000, together more than the store sold. The Analytics Robot matches orders to visits and finds that, on last touch, Google Ads drove $13,200, Meta Ads $6,100, email $5,400, organic search $3,800 and $2,500 had no tracked source.

The report turns that into three sentences and three tasks. Google Ads returns about $3.77 per dollar spent and has room to grow, so the robot proposes a 10 percent budget shift from Meta. Meta prospecting campaigns introduce many first-touch customers who later buy through email, so it recommends keeping them rather than cutting them on last-touch numbers alone. A checkout page lost its tracking tag after a theme update, which explains part of the unattributed share, so it proposes a tagging fix. All three appear in the Approvals inbox on Copilot. These figures are an illustration of how the report reads, not a typical result.

The robot never edits your CRM records or deal values. It reads them, and if numbers look wrong, such as deals without dates or duplicate contacts inflating revenue, it says so in the report rather than correcting your data silently.

Reporting is only worth paying for if something changes because of it. The Analytics Robot is the source of truth that the rest of the platform reads. The AI advertising platform module uses its cost per sale to decide where daily budget optimization moves money on Growth. The AI landing page optimization module uses its landing page data to choose which page to fix first. For a broader view of how one plan ties every module together, see AI powered marketing automation.

On Pro and Scale the weekly report can be exported as a white-label PDF, which agencies use to report to clients under their own name.