One PDF a month.
Your BD team runs it.
First Monday of every month, a PDF lands in your workspace admin's inbox. Ranked prospect brands, operator-movement highlights, category trend commentary — the brand-universe intelligence we surface gets delivered without anyone opening the app.
A tight 14-16 pages, read in ten minutes.
- —Executive narrative — the three prospect brands to prioritize this week + trend commentary on the operator graph
- —Ranked prospect list — 30-50 brands with composite score, category, unauthorized-seller count, top operator, scoped to your preferred categories and excluding your managed list
- —Rotating brand deep-dives — five one-page dossiers per month on brands surfaced by signal strength that month. Rotating = 60 brands/year at full depth
- —Operator-movement highlights — which multi-brand operators accelerated or decelerated in the last 30-90 days, with portfolio-overlap annotations for your tracked brands
- —Category momentum — BSR-volume trend and volatility score shifts for your preferred categories, flagging consolidation vs expansion dynamics
- —Suggested next actions — prioritized list of brands or operators worth pursuing this month, with the data that supports each one linked back
Recurring. Actionable. Not noise.
Daily alerts are for operational triage; weekly newsletters get ignored. Monthly cadence matches how BD and enforcement teams actually plan — pipeline reviews, QBRs, sprint planning. The report's natural reading moment is the first Monday coffee before the weekly all-hands, and it produces three concrete follow-ups per cycle.
The live platform sits behind every finding — each prospect link jumps straight to that brand's dossier, each operator callout jumps to the operator detail page. The PDF is the summary; the workspace is where your analyst digs deeper when something in the report warrants attention.
We'll generate one on your categories.
Tell us three preferred categories and a few brands you'd exclude. We'll produce a real sample month's report from the current data — not a canned example.