Classify · Assess & Decide · Analysis & Finance
Revenue Zone Matrix prospect classification grid
I get a structured grid that plots each of my prospects on demand (awareness/interest/demand) and trust (know/like/trust) and derives which of the three zones they sit in, with no prospect left unplaced.
You receive: A JSON object { product: string, prospects: [ { name, account, demand_axis (enum: awareness|interest|demand), trust_axis (enum: know|like|trust), derived_zone (enum: anonymous|engagement|revenue), evidence } ], zone_counts: { anonymous, engagement, revenue } }
Part of Build a Sales Engine, Grow Partnerships
Example
A sample of what this play produces. Your result is generated for your inputs.
Product
STUD.com living-system workspace, prepaid credit packs
Prospects
| Name | Account | Demand axis | Trust axis | Derived zone | Evidence |
|---|---|---|---|---|---|
| Mira Voss | Fernline Studio (fictional) | demand | trust | revenue | Solo founder who ran three sample plays during the soft launch, asked about credit pack pricing, and replied to two founder emails; she both wants the work done now and trusts the results. |
| Teo Brandt | Quarrylight Analytics (fictional) | demand | like | engagement | Ops lead actively shopping for an AI-agent workflow this quarter (stated demand) but has only read the play-map pages; no run history yet to build trust past liking the approach. |
| Sana Okafor | Willowmark Goods (fictional) | interest | trust | engagement | Early waitlist signup who follows the build-in-public posts and vouches for STUD in a launch community, but is pre-revenue herself and not yet ready to buy a first credit pack and commission plays. |
| Ravi Chalmers | Pinepoint Labs (fictional) | interest | like | engagement | Engineering lead who upvoted the launch post and browsed the catalog of ready-made plays; interest is real but he has not run anything, so the relationship is at like, not trust. |
| Lena Marsh | Copperseed Coaching (fictional) | interest | know | engagement | Signed up from an SEO article on intake-driven AI work; she knows the STUD name and is curious about plays for marketing work, but there has been no direct interaction yet. |
| Owen Tetley | Bramblewick Tools (fictional) | awareness | like | engagement | Met at a founder meetup and liked the living-system framing in conversation, but his shop has no stated need for agent-run knowledge work yet, so demand sits at awareness. |
| Priya Nandakumar | Saltgrass Reads (fictional) | awareness | know | anonymous | Appeared once in launch-community analytics as a doc page visitor; she can name STUD at most, with no expressed need and no relationship, the textbook anonymous-zone visitor. |
| Gus Ferrand | Mudlark Provisions (fictional) | awareness | know | anonymous | Cold list entry from a developer-documentation referral log; a single anonymous visit, no signup, no reply, so both axes sit at their floor until content earns a second touch. |
| Ada Kowalczyk | Latchkey Metrics (fictional) | demand | trust | revenue | Product-team lead who activated in month one of the soft launch, ran plays weekly from her workspace facts, and asked when paid fulfillment opens; ready to convert the day it does. |
Zone counts
- Anonymous
- 2
- Engagement
- 5
- Revenue
- 2
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