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Asset Monetization Sprint
CEO | BU-Head

When new revenue sources are sought,
but existing assets stay unused.

Which existing data, capabilities, customer relationships and installed-base potentials can carry new revenue logics — and which can’t?

For CEOs and BU-Heads of B2B industrial companies who want to broaden their growth base — building on existing assets, not on a greenfield.

Asset inventory turned into revenue logic
Business-model hypotheses prioritized
Validation basis for stop/go
01

How to tell this decision is still open

Typical symptoms
  • Your growth base must broaden — but new revenue streams should not emerge on a greenfield.
  • Innovation workshops have produced ideas — but no validatable business-model hypotheses with clear willingness to pay.
  • Data, service know-how, installed base and customer relationships exist — but their monetization potential isn’t assessed systematically.
Risk if nothing is decided
  • Valuable assets stay invisible while innovation keeps running on ideas alone.
  • Teams invest in models that sound interesting but show no robust customer value, no right-to-win and no willingness to pay.
02

Decision value

After about seven weeks it’s clear which assets carry new revenue logics, which hypotheses to validate — and which ideas should be stopped.

Growth beyond the core is then run not as an innovation wish, but as a prioritized asset and business-model decision.

Strat-Exx
Asset Monetization Sprint · 2 / 2
03

What ends up on your desk

Asset Monetization Inventory

A structured view of data assets, capability assets, relationship assets, service / installed-base assets and brand assets — assessed by monetization potential, current use and right-to-win.

Business Model Hypothesis Map

Business-model hypotheses derived from the assets — e.g. as-a-service, outcome-based, auto-replenishment, data monetization, service or platform logics — assessed by attractiveness and feasibility.

Validation & Stop/Go Set

3–5 prioritized hypotheses with a validation plan: target customers, interview guide, MVP sketch, pilot KPIs, critical assumptions and clear stop/go criteria.

04

Typical runtime

1
Weeks 1–2
Asset inventory and monetization logic
2
Weeks 3–4
Pattern matching and hypothesis building
3
Week 5
Assessment by attractiveness and feasibility
4
Weeks 6–7
Customer validation, focus and stop/go
05

When it’s especially relevant

If this topic is on your agenda,
our experience helps you reach robust decisions faster.
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