Bring the numbers together
Someone downloads reports from each platform, aligns the dates and columns, and combines them in a spreadsheet. The tool can pull weekly figures from connected platforms or work from reports your team uploads.

Before the meeting, someone has to export ad spend and enquiry counts, then work through the sales records to see which enquiries led to quotes or orders. Only then can they start writing up what changed that week. I can build a tool around the way your team already works. Here’s what it can take on.
Illustrative records only. These are fictional examples, not client results.
Someone downloads reports from each platform, aligns the dates and columns, and combines them in a spreadsheet. The tool can pull weekly figures from connected platforms or work from reports your team uploads.
Someone works back through sales records to find the ad behind each enquiry. The tool can link enquiries, quotes and orders using form IDs or ad tracking data. It sets aside duplicates and records with missing sources for your team to check.
Someone calculates cost per enquiry and cost per sale for each ad, compares the results and writes up what needs attention. The tool calculates cost per enquiry and cost per sale for each ad. AI then drafts a short commentary from those figures. If enquiries got cheaper this week but most of the new leads are still open, the draft flags them for follow up and shows the numbers behind that note. Your team decides which ads need more time, where to test a higher spend, and what budget changes to approve.
Compare checkout steps by device. If mobile shoppers drop off at account creation, test guest checkout and compare the share who complete payment.
AI groups comments and authorised messages by topic and keeps the original wording. If people keep asking whether it fits the old model, answer that in your next post.
Let’s try this with your existing enquiries and sales. We’ll see how many orders we can trace and how much time your team saves checking records each week. Your team starts the meeting with the exceptions and the changes that need attention.
Talk to Philip about your workflow| A01 | Enquiry E101 |
|---|---|
| A01 | Enquiry E102 |
| Unknown source | Enquiry E103 |
Input: three enquiries and a separate sales record. Each enquiry keeps its ID.
02 / 03| E101 | Matched to order O201 |
|---|---|
| E102 | Quote still open |
| E103 | Source missing: check manually |
The open quote stays separate from the completed order. A missing source is flagged rather than guessed.
03 / 03| Order O201 | Confirmed sale from E101 |
|---|---|
| Enquiry E102 | Follow up the open quote |
| Enquiry E103 | Confirm the source |
Draft: A01 has one confirmed order and one open quote in these example records. Follow up E102 and verify E103 before drawing conclusions. Your team reviews the draft.