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 } }
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Deliverable interface
The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.
{
"buyerParamKeys": [
"product",
"require_evidence"
],
"checkNames": [
"format_parses",
"product_present",
"count_floor",
"demand_enum",
"trust_enum",
"zone_derivation",
"evidence_present",
"unique_prospects",
"counts_match"
],
"constants": {},
"deliverableLabel": "rz_matrix_prospect_grid",
"documentKeys": [
"account",
"anonymous",
"demand_axis",
"derived_zone",
"engagement",
"evidence",
"name",
"product",
"prospects",
"revenue",
"trust_axis",
"zone_counts"
],
"enumLiterals": [
[
"awareness",
"interest",
"demand"
],
[
"know",
"like",
"trust"
]
],
"submission": "a JSON document (submitted as a string), validated as data; every check below must pass",
"tier": "doc-validator"
}Get early access to STUD the day it goes live.