Prioritising an existing account base
Produces a ranked list of accounts by estimated expansion propensity, with the factors behind each assessment. Gives account teams an evidence-led basis for focusing their effort.
— Sales & Growth
Learns from the accounts that have already expanded to rank the rest by upsell potential, shows which usage signals genuinely move expansion, and returns a target list with the play for each tier.
1–2 weeks → ~15 minutes
For a full population, not a sample
No coding required
— USE CASES
Produces a ranked list of accounts by estimated expansion propensity, with the factors behind each assessment. Gives account teams an evidence-led basis for focusing their effort.
Identifies which usage and account characteristics are associated with previous expansion, such as seat utilisation, feature adoption or product ownership. Distinguishes observed patterns from assumptions about buying readiness.
Groups opportunities into priority tiers with a suggested sales approach for each. Provides a practical basis for tailoring account plans to different levels of expansion potential.
Provides a structured assessment of expansion opportunities across a client's account base. Supports recommendations with account-level reasoning and a clear view of the patterns associated with past growth.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each row of your export is processed on the same basis, so no account is skipped however long the table is.
Findings on the pipeline in scope are written up as a document that reads like professional output, with each claim tied back to a account.
Detail rows are summarised into the grouped view of the pipeline in scope without losing the underlying accounts.
Upsell planning often relies on account size or individual judgement, leaving sales teams with broad target lists and little evidence of readiness to buy. Prioritising an existing account base is the typical trigger — produces a ranked list of accounts by estimated expansion propensity, with the factors behind each assessment. Gives account teams an evidence-led basis for focusing their effort. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 weeks of manual work.
Skillsize turns that work into a Skill: you supply the material, and what comes back is ranked upsell target list with estimated expansion propensity, with account-level explanations of the factors behind each assessment. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Upsell propensity map exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
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Judges a planned campaign before spend is committed, testing its audience, offer, channel mix and budget against how comparable campaigns actually performed, then giving a clear go, amend or hold call with the reasoning and confidence behind it.
Keeps a standing weekly read on the health of every client account, scoring each one on the signals that actually predict trouble, tracking how it moves over time and putting the accounts that need attention in front of the person who owns them.
Combines NPS movement, ticket velocity, usage drop-off and billing changes into a churn score per account, then drafts the save play with the ARR at risk quantified.
Tests every open deal for stalled activity, unholdable close dates, single-threading and missing next steps, then computes the forecast dollars at risk and an action list per rep.