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Why the Best Markets Are Not the Biggest Ones.

Image of the post author Jodie Shaw

A payments brand entered a large Southeast Asian market with the right numbers behind it. Smartphone penetration was high, transaction volumes were growing, and the category was already worth billions. The playbook was familiar: invest in distribution, offer incentives, and take share from incumbents.

The problem was not competition. It was behaviour. Most consumers already had one or two digital wallets, usually tied to platforms they used daily. Adding another option didn’t solve anything they felt strongly enough to act on. Incentives pulled in sign-ups, but usage dropped the moment those incentives disappeared. The market was active, but behaviour was settled.

This pattern is common in market entry, particularly in categories that look attractive on paper. Size, growth, and access can all point in the right direction, yet the outcome falls short. The missing piece is rarely demand itself. It is whether that demand is available to shift.

Some markets absorb new entrants quickly. Others resist them, even when the offer is competitive. The difference is not always visible in headline figures, but it shows up in what people are willing to reconsider.

That is where most entry strategies go wrong. They measure how much demand exists, not how much of it can be moved.

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Why Market Size Misleads

Market size is a useful filter, but a poor decision rule. It tells you how much demand exists, not whether any of it is available to you. That gap is where most entry strategies break down.

In established categories, the constraint is rarely awareness or access. It is prior choice. In US consumer goods, repeat purchasing accounts for the majority of volume in many categories, according to NielsenIQ. That stabilises revenue for incumbents, but it also means most demand is already spoken for. A new entrant is not competing for undecided buyers. It is trying to interrupt decisions that have been made and repeated often enough to feel automatic.

The usual response is to lean on price. It can create a spike in trial, but it does not hold unless it changes how the product is valued. The expansion of private label through 2022 and 2023 makes the point more clearly than most examples. Share in the US moved toward one-fifth of grocery sales, but not simply because prices were lower. Consumers reassessed what they were getting from branded products and, in many cases, decided the premium was no longer justified. Where that reassessment did not happen, discounting had little lasting effect.

The constraint, then, is not demand in aggregate. It is how much of that demand is willing to move. That varies widely across markets, and it is not captured in topline figures. A smaller category where consumers are already questioning value can offer more room for entry than a larger one where choices feel settled.

Where Movement Actually Comes From

The mistake is to treat price as the main trigger for switching. In some low-involvement categories, it is enough to secure a first trial. In most others, it is not. The real question is simpler and harder at the same time: where can you get someone to try without asking them to believe too much up front.

That hinges on where flexibility already exists. In some markets, consumers are tied to a brand but not to how they buy. In others, they are comfortable with the format but open to a different definition of value. These are not abstract distinctions. They determine whether an entrant can create a trial without forcing a full reset in behaviour.

Premium skincare is a useful example. It is often treated as highly resistant to change because of perceived risk and brand trust. Price reductions alone tend to produce short-lived switching. Yet a portion of the category has shifted toward direct-to-consumer brands over the past decade, driven by convenience, ingredient transparency, and peer validation. The move did not require consumers to abandon the category or reduce spend. It asked for a smaller change: try a different route to the same outcome. That was enough to unlock trial.

This is illustrative, but the mechanism holds. Movement happens where the first step is easy to justify. If trial requires a consumer to rethink everything at once, it rarely happens. If it can be framed as a limited, low-risk shift, behaviour follows more quickly.

For an entrant, that becomes the hinge. Not how sensitive demand is to price, but whether there is a way in that does not require winning a full argument on day one.

A Hard Test for Market Movement

Most entry teams collect signals. Few set thresholds. Without a threshold, every market can be made to look attractive.

One measure that holds up in practice is search behaviour. Not overall volume, but intent. Specifically, how often consumers are looking for a way out.

A Simple Entry Test

Metric

What to Look For

Why It Matters

Share of category searches including “alternative to [leader]”

Sustained above 8–10% (illustrative threshold)

Indicates active reconsideration, not passive consumption

Trend direction

Rising over 3–6 months

Suggests dissatisfaction is building, not episodic

Depth of queries

Specific comparisons, not generic terms

Signals consumers are close to switching, not browsing

This is not a perfect measure, but it forces a decision. Below the threshold, you are trying to create movement from scratch. Above it, you are entering a market where switching is already being considered.

Search is only one lens, but it captures something most datasets miss. It shows intent before it shows up in share.

What Sits Behind the Signal

Search behaviour does not emerge in isolation. It reflects a set of underlying conditions that determine whether switching is even possible.

Constraint

What It Looks Like in Practice

Entry Implication

Switching friction

Contracts, habits, or perceived risk

High friction means incentives will not convert to sustained use

Value gap

Perceived mismatch between price and benefit

Without a clear gap, price-led entry will stall

Market structure

Dominant players vs. fragmented field

Fragmentation lowers the cost of reconsideration

These are not checkboxes. They interact. A market can show signs of dissatisfaction, but still resist change if friction is too high. Equally, a fragmented market with low friction can remain stable if consumers do not perceive a meaningful gap in value.

The point is not to catalogue signals. It is to determine whether the conditions exist for trial to happen without excessive force.

From Signals to a Decision Tool

If the test indicates movement, the next step is to structure it into a decision. This is where a simple index becomes useful, not as a model to predict outcomes, but as a way to rank opportunities under constraint.

Growth Readiness Index (GRI)

A single score from zero to one hundred that estimates how much demand can be moved.

Component

What It Captures

Why It Matters

Elasticity

Evidence of switching intent and openness

Without this, entry requires creating demand, not capturing it

Friction

Barriers to acting on that intent

High friction suppresses even strong intent

Need Gap

Intensity of dissatisfaction

Indicates whether an alternative will be seen as necessary

Market Structure

Concentration and differentiation

Affects how easily a new option can be understood and compared

Weights are less important than trade-offs. If elasticity is weak, a high need gap will not compensate. If friction is high, even strong intent will not convert. The index works by forcing those tensions into view.

What the Index Changes

Market

Market Size

GRI Score

What It Implies

Market A (large, mature)

$15B

42

Demand exists but is largely locked

Market B (mid-size, shifting)

$4B

78

Demand is actively being reconsidered

This comparison is illustrative, but the decision it forces is real. In Market A, growth depends on breaking entrenched behaviour, often at high cost. In Market B, growth comes from accelerating a shift that is already underway.

The index does not replace judgment. It sharpens it. It makes clear whether you are entering to compete, or entering to unlock movement.

What Data Will Not Tell You

Most market entry work leans heavily on syndicated data. It is necessary, but it is late. By the time a shift appears in share or pricing, the underlying movement has already happened.

The limitation is not accuracy. It is timing. Secondary data records outcomes. It does not capture the moment when consumers begin to reconsider.

Primary research is useful only when it is built around that moment. Standard tracking will not surface it. Awareness, usage, and stated loyalty can remain stable even as behaviour becomes more fluid underneath. What matters is not what consumers say they do. It is what would make them stop doing it.

TREND4-Every-Snack-Bite-Counts

Designing for Movement, Not Recall

Method

What It Reveals

Why It Matters

Switch analysis

Conditions that trigger immediate change

Forces consumers to trade off loyalty in real terms

Trade-off studies

What consumers will give up for improvement

Quantifies value shifts, not stated preference

Longitudinal tracking

Direction of change over time

Captures emerging instability before it converts to share

Ethnographic work

Workarounds and unmet needs

Surfaces friction that consumers have normalised

The pattern is consistent. Consumers overstate commitment when asked in isolation. When presented with a credible alternative, the same consumers will often accept a different trade-off than they initially described.

Elasticity does not present itself directly. It sits in the gap between what people claim and what they accept when the choice is made concrete.

One Case That Changes the Decision

Electric two-wheelers in India and Vietnam illustrate the difference between a market that looks constrained and one that is ready to move.

On paper, both markets presented barriers. Infrastructure was incomplete, product performance varied, and incumbent solutions were well understood. A size-first assessment would have flagged risk. A behaviour-first assessment showed something else.

Fuel costs were rising, urban congestion was worsening, and policy support was shifting the economics of ownership. Consumers were already recalculating, even if they had not yet switched. The first purchase did not require a full belief in the category. It required a lower-risk trial, often supported by incentives, financing, or policy.

Adoption followed quickly once that first step was made. The constraint was not awareness or access. It was the cost of trying something new. Once that was reduced, movement accelerated.

This is illustrative, but the decision it forces is clear. Enter early and subsidise the first switch, or wait until the market stabilises and compete on parity.

The Entry Decision Most Teams Avoid

The question is not whether a market is attractive. It is whether you are prepared to create the conditions for switching.

That usually comes down to one mechanism. Not a list.

Mechanism

What It Does

When to Use It

No-commit trial

Removes perceived risk of trying

When behaviour is habitual but low consequence

Subsidised first use

Buys the initial switch

When cost is the primary barrier to trial

Default migration

Shifts users without requiring active choice

When distribution or platform control allows it

Each carries a cost. Removing friction is not free. It requires margin, operational complexity, or both. The mistake is to assume that demand will move without paying that cost upfront.

Pricing sits within this, not outside it. In some categories, price is the only lever that secures the first trial. The risk is that it attracts switching without retention. The decision is whether the initial movement is worth subsidising in order to establish a new pattern of behaviour.

The Decision Before Entry

Most entry strategies defer the hardest question until after launch. It should be answered before.

Are you entering a market where consumers are already prepared to change, or are you prepared to pay to make them change?

If the answer is neither, the size of the market is irrelevant.


Understanding where demand will move is not a question of data volume. It is a question of how that data is interrogated.

At Kadence International, we work with brands to identify where switching is already being considered, where friction sits, and what it takes to convert intent into action. That means going beyond market size and share, and into the behavioural signals that determine whether entry will work at all.

 

FAQs

What is demand elasticity in market entry?

Demand elasticity in market entry refers to how easily consumers can be persuaded to switch, try, or adopt a new product or brand. It goes beyond price sensitivity and includes willingness to reconsider existing choices, try alternatives, or change purchasing behaviour under the right conditions.

Why is market size a poor indicator of success?

Market size shows how much demand exists, but not how much of it is available to be won. In many large markets, consumer behaviour is stable and repeat-driven, making it difficult for new entrants to gain traction even with strong investment and distribution.

How can you tell if a market is ready for a new entrant?

One of the clearest indicators is switching intent. For example, rising search queries like “alternative to [brand]” suggest consumers are actively reconsidering their choices. Other signs include visible dissatisfaction, low switching barriers, and a clear gap between price and perceived value.

What is a Growth Readiness Index (GRI)?

A Growth Readiness Index is a framework used to assess how responsive a market is to new entrants. It combines factors like switching intent, friction, unmet needs, and market structure to estimate how much demand can realistically be moved.

What is the biggest mistake brands make when entering new markets?

The most common mistake is assuming that demand can be captured simply because it exists. Many brands underestimate how difficult it is to change consumer behaviour and fail to account for switching costs, habits, and perceived risk.