Revenue optimization strategy
Pricing, packaging, retention and expansion levers modelled against your actual data.
- Engagement
- Fixed-scope engagement
- Typical timeline
- 4 weeks
- Starts with
- An anonymised export of billing history by account.
Acquisition is expensive and getting worse, while the customers you already have are underpriced, under-served and quietly leaving. The cheapest revenue in the business is the revenue you are not asking for.
Margin recovered from decisions you can make this quarter.
What we build
Concrete artefacts, handed over and documented.
Revenue teardown by segment, plan and cohort, where the money is and where it leaks
Pricing and packaging changes modelled against your actual customer base before rollout
Retention diagnosis: the moments where accounts decide to stay or go, with the signals that predict each
Expansion play design, upgrade triggers, in-product prompts, commercial motions
A rollout plan with grandfathering rules and a communication sequence for existing customers
What changes
More revenue per customer without a proportional rise in cost to serve
Churn causes are named and addressed at the moment they occur
Price changes ship with the customer reaction already modelled
How it runs
- Weeks 1–2
01Teardown
We rebuild your revenue by cohort and segment and reconcile it to finance, not to the dashboard.
- Week 3
02Model
Pricing, packaging and expansion changes simulated against your real accounts, worst case included.
- Week 4
03Rollout
Sequence, grandfathering rules, and the messages existing customers receive.
Chosen per project. Named here so you can see the shape of it.
- Stripe
- ChartMogul
- Looker Studio
- HubSpot
Questions we get asked
Tell us the outcome, not the tooling.
Send us the situation you are in. We will tell you which discipline it belongs to, what we would do first and what it costs, including when the answer is to wait.