Plan · Create · Writing & Content
V3 post-sale revenue-expansion plan per customer
I get a structured post-sale expansion plan for each new customer: concrete velocity/value/validation actions, expansion opportunities tagged by the three types, and a defined ambassador path, so revenue expansion is planned not left to chance.
You receive: A JSON object { customer: string, v3: { velocity: [actions], value: [actions], validation: [actions] }, expansion_opportunities: [ { description, type (enum: consumption|products|services), est_value_usd } ], ambassador: { action, reference_asset } }
Part of Build a Sales Engine, Grow Partnerships
Example
A sample of what this play produces. Your result is generated for your inputs.
Customer
Fernhollow Labs (fictional example customer)
V3
- Velocity
- Within 48 hours of the Pro signup, run a guided first session: seed the Fernhollow workspace with their core facts (name, one-liner, target customer, pricing) so every later intake pre-fills.
- Commission their first three plays in week 1 from the playbooks that match their stated goal (positioning, pricing, launch content), so first value lands before the first billing renewal.
- Set a week-2 checkpoint: confirm at least 10 of their 1,500 monthly Pro credits are spent and the first accepted deliverable is saved back into their workspace.
- Value
- Map their monthly credit spend to named outcomes: show which accepted deliverables each 10-to-40-credit run produced, so the $60/mo Pro plan reads as work shipped, not credits burned.
- Chain deliverables: feed their accepted business-model canvas into the pitch and pricing plays, demonstrating that facts stated once compound across the 265-play catalog.
- Send a monthly value recap listing runs completed, credits used, and which workspace facts each result refreshed, in plain factual register per brand voice.
- Validation
- After each accepted deliverable, capture a one-line outcome note from Fernhollow (what they did with it) and store it as a workspace fact for later runs.
- At day 60, review retention signals against the illustrative launch scenario (activation by month 1, retention by month 3) and flag churn risk if monthly runs fall below the ~12 plays/buyer norm.
- Ask for a quotable result at day 90: one concrete before/after from a play they ran, cleared for use in launch-community posts.
Expansion opportunities
| Description | Type | Est value usd |
|---|---|---|
| One-time credit packs when Fernhollow's monthly runs exceed the 1,500 Pro credits, priced at the $0.04 credit peg (illustrative volume based on their week-2 usage curve). | consumption | 240 |
| Upgrade from Pro ($60/mo) to Ultra ($180/mo, 5,000 credits) once two or more Fernhollow teammates are commissioning plays; annual Ultra at $140/mo is the retention anchor. Illustrative first-year uplift. | products | 1440 |
| Concierge-run play bundles for work Fernhollow wants done end to end: the founder-operator runs the plays inside the 30 plays/week concierge capacity and lands results in their workspace. Illustrative pilot engagement. | services | 600 |
Ambassador
- Action
- Invite Fernhollow's founder to publish a co-written walkthrough of their real workspace (facts in, plays run, deliverables out) in the launch communities STUD acquires through, then keep it current as their catalog usage grows.
- Reference asset
- A public case page: 'How Fernhollow Labs runs its venture on STUD', showing the fact-to-play-to-deliverable chain with their permissioned metrics.
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