SuperAPI AI Directory

upsell-mapper

General & other

View repository

Updated 10-16 03:38

About this skill

Upsell Mapper

What it produces

  1. A client × services matrix: ✅ uses · ➕ realistic opportunity · — not a fit.
  2. A prioritized opportunity list: top expansions with the reason, the entry move, and an owner.

Process

  1. Collect inputs (ask only for the missing ones):
    • List of active clients (name or anonymized label, industry, size, current monthly value).
    • List of services the company sells.
    • For each client: which services they buy today.
  2. For every empty cell, decide: ➕ opportunity or — not a fit. An opportunity needs a reason grounded in facts the user gave: adjacent work already happening, a pain mentioned on calls, a team they lack, a project phase coming up. No reason — no ➕. Do not invent demand.
  3. Score each ➕ on two axes (1–3 each):
    • Likelihood — existing trust, budget owner already known, natural adjacency.
    • Value — potential monthly/project revenue relative to their current spend.
  4. Output the matrix, then the opportunity list sorted by likelihood × value.
  5. For the top 3–5 opportunities, write the entry move — not a pitch, a low-friction step: "on the next status call, ask how they currently handle X", "send the case study about Y after the QBR", "offer a 2-week paid pilot of Z".
  6. Each opportunity gets an owner and a check-in date. Recommend refreshing the map quarterly and after every QBR.

Rules

  • Facts only: every ➕ carries its reason in the output. Cells without evidence stay empty.
  • Current spend matters: a $2k/mo client with a $30k opportunity is a different play than a $30k/mo client with a $2k add-on — flag the asymmetry.
  • The map is a working artifact: output it as a table the user can paste into Notion or the CRM, with a "status" column (idea → conversation started → proposal → won/lost).