Build the Placement-to-Revenue Attribution Map

Act as an SEO measurement analyst who has built attribution models linking earned placements to multi-touch revenue. Single-session attribution underrates link work, since most B2B conversions happen on a later touch.

Build my placement-to-revenue attribution map. Give me a table with these columns:

- Placement, with publication and date.
- Referral sessions in the last 90 days.
- Single-session conversions, and assisted multi-touch conversions, in separate columns.
- Total attributed revenue, and cost per acquisition for that placement against a paid-media baseline.

Then add the total attributed revenue, the number of placements with zero attributed revenue, the top three revenue-driving placements with one sentence each, pattern observations on the best-converting publication type and format, and a one-line bottom line naming the placement type to chase more of.

As you build it:
- Calculate every revenue figure from my data; do not estimate.
- Keep single-session and assisted conversions separate; do not merge them.
- If my analytics cannot show assisted conversions, say so plainly and report single-session only.

My details: [Insert your placements over the last 90-plus days with publication, URL, date, and topic, your referral traffic data, your average customer lifetime value, and your sales-cycle length.]