MKTG90037 Chap.3 Business Models and Value Delivery
Business Models and Value Delivery
A business model is a system of choices and consequences explaining how an organisation creates, delivers and captures value. It is not synonymous with strategy and not validated by completing nine canvas boxes.
Customer segments and jobs connect to the value proposition; channels and relationships determine how customers encounter and use it; resources, activities and partners create delivery capacity; revenue and cost architecture shape capture and viability. Links among these elements are hypotheses that can be tested.
A subscription model, for example, depends on acquisition, recurring use, retention, service cost and willingness to pay; a transaction fee depends on volume, trust and platform liquidity. Internal coherence asks whether choices reinforce each other. External fit asks whether customers and partners behave as assumed. Economic viability asks whether revenue and cost work at relevant scale.
Stakeholder sustainability asks whether the model relies on unpriced harm or fragile labour. This evidence-focused view turns a canvas from a poster into a set of causal claims and revision decisions.
What this chapter covers
- 01
Business-model hypothesis
- 02
Value delivery
- 03
Value capture
- 04
Business model versus strategy
- 05
Customer segment and job
- 06
Proposition, channel and relationship
- 07
Activities, resources and partners
- 08
Revenue and cost architecture
- 09
Hypotheses and evidence
- 10
Coherence, viability and stakeholder sustainability
Read a subscription model as linked hypotheses
- 1Define the segment, learning job and benefit expected from unlimited access.
- 1Estimate how access frequency affects tutor capacity, wait time and delivered experience.
- 1Connect retention and willingness to pay with acquisition, staffing and platform costs.
- 1Specify a pilot that tests usage distribution, learning outcome, workforce load and churn.
Key terms
- Business-model hypothesis
- A testable assumption connecting a choice to customer behaviour, delivery or economic consequence.
- Value delivery
- Activities and relationships through which promised benefits become available in use.
- Value capture
- The mechanism by which an organisation retains revenue, margin, data, power or another return.
Business Models and Value Delivery FAQ
How is a business model different from strategy?
A model describes the operating logic for creation, delivery and capture. Strategy includes choices about where and how to compete and how the system will remain distinctive.
Why are canvas links more important than boxes?
Performance depends on causal relations: a segment must value the proposition, channels must deliver it, and revenue must support resources and activities. Isolated completeness can hide contradiction.
What is internal coherence?
The model's activities, partners, channels, economics and proposition reinforce rather than undermine one another. A premium promise paired with unreliable low-cost delivery would be incoherent.
What is external fit?
Customers, partners and institutions behave in ways compatible with model assumptions. Interviews, pilots and market data can test fit; internal enthusiasm cannot. The critical assumptions should be tested in the relevant market setting.
Does revenue prove value?
Revenue shows some capture under existing conditions. It does not reveal net customer benefit, employee burden, partner dependency or durability without additional evidence. Compare those outcomes on a common time horizon and segment.
How should partners be analysed?
Name the resource, activity, risk or legitimacy they provide, the incentive that sustains participation and the dependency or bargaining power created. The analysis should also identify an alternative provider or governance route.
Why examine cost at scale?
Unit economics and capacity can change with volume. A model may benefit from spreading fixed costs or suffer congestion, service decline and coordination expense. Model service burden and partner incentives before assuming scale improves returns.
When should a model pivot?
When evidence undermines a central hypothesis and a coherent alternative can be tested. Change should follow a diagnosed link, not a desire to relabel the same assumptions.
Exam move
Print a blank canvas but forbid yourself to write nouns without arrows. Every entry must connect to another box through creates, enables, pays, constrains or depends on. Mark each arrow as evidence, assumption or contradiction. Add a stakeholder and time-horizon layer. Then design the smallest test that could change a high-risk assumption rather than collecting broad feedback that cannot guide a decision.
Treat every canvas box as a claim connected by an arrow. For each customer segment, trace the job into proposition, channel, relationship, activity and resource, then follow the route into revenue, cost, partner incentive and risk. Mark any arrow supported only by internal belief.
Build a small test that could distinguish the proposed causal link from a plausible rival explanation, and record the decision that each result would change. Recalculate unit economics at a relevant scale rather than assuming volume leaves service quality, capacity and coordination unchanged. Compare a customer-benefit measure, an operating measure and a capture measure on the same time horizon.
End with the dependency most likely to break the model and a bounded experiment that preserves reversibility while testing it.
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