By Marty Marion
Every business discussion about growth and customer acquisition eventually circles back to retention, loyalty, and lifetime value. But while these elements matter, they obscure the underlying arithmetic that governs every competitive market.
A brand cannot retain its way to expansion and profitability, or even long-term survival—the math simply doesn’t work out. It can stabilize, at best, but customers relocate, needs change, budgets tighten, and competitors improve. Life circumstances reorganize consumption patterns.
Attrition happens, and no brand can prevent it. Even the most satisfied customer base decays.
The only reliable counterforce is a steady influx of new customers, which (as you’ll see in a minute) must be acquired from competitors. This adds a significant layer of complexity to the customer acquisition equation.
I’m not talking about a marketing philosophy, here. This is a population dynamic. Empirical brand growth research consistently shows that brands expand primarily by increasing penetration, rather than intensifying loyalty among existing buyers.
Work led by Byron Sharp and Jenni Romaniuk at the Ehrenberg-Bass Institute clearly demonstrates that brand growth correlates strongly with reaching more category buyers and only weakly with deepening repeat purchase among current ones. In other words, brands get bigger when more people choose them at least occasionally. That requires those same people to also stop choosing a competitor at least occasionally.
This means the central event in growth isn’t satisfaction. It’s switching.
The unexpected psychology behind brand loyalty
Customer acquisition is almost a completely zero-sum endeavour: every customer a brand gains is a customer its competitor lost. Yet switching is psychologically unusual behaviour. Humans aren’t neutral choosers encountering products for the first time. They’re continuity-preserving organisms.
Daniel Kahneman and Amos Tversky’s prospect theory formalized this loss aversion: the perceived risk of giving up a known solution outweighs the potential gain of a better one. Habit research in behavioural psychology shows repeated decisions migrate from deliberation into automaticity. Once a choice works, the brain economizes effort by reusing it.
In other words, what appears in markets as loyalty is often risk management combined with cognitive efficiency, rather than any kind of emotional devotion. People avoid reconsideration and risk unless circumstances force it.
This has a practical implication. Before a brand can acquire, it must persuade. Before a brand can persuade, it must be welcomed into the consideration set. And permission is not granted automatically. In fact, by default, it doesn’t exist at all.
Most categories are populated by customers who already possess a satisfactory answer to the problem the category solves. They may not love it—they may not even think about it—but they trust it enough not to question it. Whatever brand they’re now using is at least “good enough.” The decision is already closed.
That closure is the real competitive barrier, and it exists before any marketing communication, creative execution, or media plan.
The first task in customer acquisition isn’t preference formation. It’s the interruption of continuity.
Since customers are psychologically and behaviourally tied to their incumbent brand choice, the only way to disengage them is through disruption. Sometimes, the trigger is realization of a failure. Sometimes it’s a price change or a life event. Sometimes, their dissatisfaction crosses a threshold.
Whatever the cause, the critical moment is psychological: the individual accepts the possibility that the current solution may no longer be the safest choice. Only after that moment does a “purchase journey” appear.
What most customer lifecycle frameworks get wrong
Unfortunately, most widely adopted frameworks treat browsing, research, comparison, and discovery as the beginning of decision making. Professor Scott Galloway’s Customer Lifecycle Framework does this explicitly by labelling the evaluative period “pre-purchase,” implying the consumer has not yet formed meaningful commitment and is therefore open to persuasion.
But by the time a person is researching, the meaningful threshold has already been crossed. Galloway’s lifecycle model may treat discovery as the start, but discovery is evidence that the start has already happened elsewhere. What looks like the beginning of decision making is actually proof that activation already occurred.
In other words, pre-purchase isn’t the beginning; it’s just where evaluation becomes visible. It’s the period after activation and before discovery.
The real beginning of decision-making sits upstream from pre-purchase and is defined by that activation. Something must break continuity. Something must loosen the incumbent’s grip. Something must move the consumer from automatic repetition to openness.
Galloway’s model skips that moment and, therefore, cannot function as a true theory of acquisition. Because the dismantling begins here, not later. It’s a structural flaw, rather than a peripheral one, and if the first step is misplaced, then every step after inherits the error.
This distinction matters because a framework that begins with evaluation cannot explain how evaluation becomes possible. It can optimize comparison, messaging, usability, and conversion mechanics. But it cannot account for the more difficult competitive event: how a customer who was not looking becomes willing to look.
The missing phases before consumer choice even exists
If what the lifecycle model calls “pre-purchase” is actually post-activation, then the obvious question is, what exists before it?
The answer can’t be “nothing” because decisions don’t begin spontaneously at the moment of evaluation. A person doesn’t wake up one morning in a neutral psychological state and decide to compare laundry detergents, insurance carriers, or project management software.
Something’s gotta give first.
The decision process unfolds not as a continuous funnel, but as a series of state changes.
To understand acquisition properly, we need a map that begins before evaluation becomes observable. Each state represents a different psychological condition and, therefore, a different competitive problem.
The first state is stability.
In the stability state, no decision exists. Nothing is being evaluated because nothing feels uncertain. Which explains why most advertising is ignored: a message simply can’t compete with a settled and closed decision.
The buyer already possesses a functioning answer to the category problem and isn’t allocating attention to alternatives. So, what appears to marketers as indifference is actually resolution. The buyer isn’t rejecting the brand, but rather not participating in the category at all.
The second state is tension accumulation.
Small frictions begin to gather around the incumbent solution. None individually justify reconsideration. A slightly higher bill, a minor inconvenience, a momentary annoyance, a social comparison, an incremental disappointment. Each event is insufficient to trigger change, but together they weaken certainty. The buyer still repeats the behaviour because the cost of re-evaluating exceeds the perceived benefit. The decision remains closed but less comfortably so.
The third state is disturbance.
A trigger crosses the tolerance threshold. Something interrupts continuity. A failure, price shift, life change, direct comparison, or accumulated dissatisfaction weakens the certainty of the existing solution. The trigger doesn’t persuade the buyer toward a specific alternative—it destabilizes confidence in the existing solution and converts the decision from settled to unsettled.
The fourth state is permission.
This is where the psychological shift actually occurs as the consumer crosses a permission threshold. Reconsideration becomes reasonable. The category reopens. And while the consumer has yet to choose or form a preference, they have accepted the legitimacy of searching again.
This moment of willingness may be small, private, and rarely observable, but it’s the true beginning of acquisition. It’s what determines whether any marketing communication can function as information rather than noise.
The fifth state is candidate formation.
Behaviour now becomes visible. The buyer constructs a shortlist from memory, familiarity, reputation, and perceived safety. This is the formation of what consumer researchers call the “evoked set”, a small subset of brands deemed acceptable enough to compare. Most brands never enter it. They’re not actively rejected; they’re just never considered eligible. The competitive battle here isn’t persuasion, but rather inclusion.
The sixth state is evaluation.
Only at this point does what is commonly called “the purchase journey” begin. What marketers call “discovery” lives here. The buyer compares options, reads information, checks prices, asks others, and interacts with marketing assets.
This is the phase the lifecycle model labels as “pre-purchase”, but psychologically it sits late in the process. By the time evaluation occurs, the buyer has already accepted change and eliminated most of the market. They’re still not choosing, but they have constructed a candidate set.
The seventh state is selection.
A choice is made from the filtered set. Features, price, and usability matter here because unacceptable options have already disappeared. Most marketing optimization operates at this level, improving the probability of winning among options already admitted into consideration.
The eighth state is reinforcement.
After adoption, the buyer rationalizes the decision, incorporates it into routine, and returns to stability. The loop closes again. What appears as loyalty is frequently the restoration of closure rather than enduring preference.
Seen as a sequence of states rather than a single funnel, the structural gap becomes unmistakable: The lifecycle model begins at the fifth state and labels it the first. It assumes openness instead of explaining it and manages comparison instead of enabling consideration.
This distinction isn’t semantic. A framework that starts at evaluation can improve the probability of winning once invited into the decision, but it cannot explain how to receive an invitation in the first place. The conventional lifecycle model, therefore, doesn’t describe the path to acquisition—it describes the middle of it. Meanwhile, brand strategy operates primarily in the earlier states, where eligibility is constructed and stability is disrupted.
The moment the conventional lifecycle model loses the market
What follows from the eight states isn’t a matter of interpretation. It’s a matter of causal order.
The lifecycle framework for brand strategy fails at the first move because it commits the oldest strategic error in competitive markets: it assumes the fight begins when the fight becomes visible.
Visibility isn’t causality. What can be measured isn’t necessarily what created the behaviour being measured.
A buyer browsing, comparing, or “doing research” isn’t standing at the beginning of a journey. They’re standing at the end of a psychological event that already decided whether brands were allowed to compete at all.
Something happened before the model ever began. A rupture. A revelation. An epiphany.
The buyer’s default choice lost its automatic status. The category reopened in the buyer’s mind. The incumbent stopped feeling safe enough to repeat without thought. Continuity fractured. Something caused the consumer to cross a private threshold from stability to vulnerability.
This is the moment of activation.
Activation is the precondition to evaluation, the precursor to comparison, and the gate through which every brand must pass before any marketing mechanism can operate. Yet the lifecycle model has no structural place for it. The model can’t explain it, can’t measure it, and can’t manage it. So, the model quietly treats it as if it doesn’t exist.
Once this is seen, the framework’s first mislabel becomes impossible to ignore. “Pre-purchase” isn’t “before the purchase” in any meaningful strategic sense. It’s after permission. After disturbance. After the mind has already opened to change.
In other words, pre-purchase isn’t a stage—or rather, it isn’t the essential primary stage. It’s a derivative of earlier, more fundamental psychological phases. So while the pre-purchase → purchase → post-purchase Customer Lifecycle Framework effectively describes the mechanics of choice once a buyer is open to choosing, real brand growth depends on creating that openness to switch in the first place.
The arithmetic of brand growth
Let me be clear: The claim that growth depends on switching is not merely behavioural or conceptual. It’s structural. Markets exhibit stable statistical regularities across categories, countries, and time periods. Those regularities have been observed repeatedly in consumer goods, services, financial products, telecommunications, and digital platforms. They appear regardless of whether brand managers believe in, understand, or actively plan against them. What anyone believes is true matters not at all; facts are facts regardless of consensus or opinion.
The most relevant of these patterns is the relationship between penetration and loyalty. When a brand becomes larger, it doesn’t grow because its buyers suddenly become dramatically more devoted than everyone else’s. It grows because more people buy it at least occasionally. The increase in loyalty is small and largely a by-product of size, not the cause of it. Most members of loyalty programs leave in a matter of months, a far shorter tenure than would lead to any meaningful or incremental contribution to the margin.
This pattern is known as the Double Jeopardy law. Smaller brands suffer twice. They have fewer buyers, and those buyers are slightly less loyal. Larger brands have more buyers, and those buyers appear slightly more loyal, but only because a bigger pool of buyers naturally produces more occasions for repeat purchasing.
Loyalty differences follow, rather than create, market share.
This matters because much of modern marketing planning implicitly assumes the opposite. It assumes that retention initiatives, experience improvements, subscription benefits, and lifecycle management can accumulate into growth. In reality, they merely maintain the status of the existing buyer base, while the competitive battle continues elsewhere.
The arithmetic is simple even if the consequences are uncomfortable:
Growth ≈ rate of switching in − rate of switching out
This isn’t a metaphor. It’s a conservation law of competitive markets. At any moment in time, every buyer in a category is owned by someone. There are no “unowned customers” waiting to be acquired. I repeat: There are no unowned customers waiting to be acquired.
A person buying toothpaste, insurance, software, or groceries is already buying it from a competitor. So, when one brand grows, it does so by reallocating demand from someone else, not by creating demand from nothingness. Market share, therefore, changes only when people move.
In other words, growth is movement. Retention stabilizes an existing population; switching changes a population.
Imagine a category containing 1,000 buyers. If a brand perfectly retains all 400 of its current customers, next year it still has 400 customers. Perfect loyalty produces perfect stagnation. The only way the brand becomes larger is if buyers currently belonging to other brands begin buying it.
Expansion isn’t the prevention of exit; it’s the creation of entry.
At any given moment, there are two invisible flows occurring simultaneously:
- Inbound switching—people who previously bought another brand now buy yours
- Outbound switching—people who previously bought your brand now buy another.
No brand escapes this. Even dominant brands lose customers constantly. What separates a growing brand from a shrinking one is not whether switching happens, but the balance of switching. Growth happens when you steal more customers than you lose. Decline happens when you lose more customers than you steal. Stability happens when the flows roughly cancel each other out.
Inbound switching dominates. Brands gain market share when they attract people who previously bought something else. Outbound switching matters, but rarely varies enough across competitors to explain expansion. Which means retention programs cannot produce category growth unless they materially change switching behaviour—and they usually don’t. They reward people who already intended to stay.
This explains why loyalty programs often redistribute purchasing frequency among existing customers, rather than expand the customer base. They increase depth among the already convinced, and loyalty metrics feel powerful because they visualize that depth within the group. But growth depends on movement between groups, and loyalty programs do very little among the unconvinced (because the unconvinced aren’t even there).
The same arithmetic explains a recurring observation in direct-to-consumer markets: Many digitally native brands grow rapidly to a certain revenue band and then plateau and stall. Their marketing systems become efficient. Their conversion rates improve. Their customer experience is refined. Yet acquisition costs rise steadily and incremental growth becomes more expensive over time.
The reason why is no mystery. The easily activatable buyers have already switched. The remaining market is composed of people whose default choices haven’t been disrupted. Optimization may have improved performance inside the activated population, but it did nothing to expand the activated population itself.
This is why customer acquisition costs rise. It’s not because advertising platforms arbitrarily punish brands, but because the remaining audience requires a different competitive event: the reopening of closed decisions.
The cognitive gate to market penetration
To understand why activation matters, it helps to examine what a consumer is actually protecting when they repeat a purchase.
Most purchasing decisions are closed loops rather than active choices. The buyer already solved the problem once and is now preserving that solution against reconsideration. This preservation is rarely conscious—it’s structural. The brain isn’t evaluating alternatives each time a purchase occurs; it’s maintaining stability.
Psychologists describe the mind as a cognitive miser. It conserves effort by reusing conclusions that previously worked. Every stable product choice, therefore, becomes a stored shortcut. Reopening that shortcut requires attention, cognitive energy, and the acceptance of uncertainty. And as long as the existing option performs adequately, repetition is the lowest-cost action available.
This produces what economists call default bias and psychologists call status quo bias. The current option isn’t re-examined each time, it’s assumed. Therefore, competing brands face a barrier more fundamental than preference. They must justify why thinking again is necessary at all.
Loss aversion strengthens this boundary. Giving up a known solution is experienced as a potential loss, while adopting a new one is only a possible gain. The asymmetry protects incumbents regardless of objective quality. The buyer is rarely asking which option is best. The buyer is asking whether reconsideration is safe.
Only when that question shifts from no to maybe does evaluation begin.
People don’t continuously search for better answers once a sufficient answer exists. They stop searching.
Most brand relationships live inside that stopped search. Marketing activity aimed at comparison quietly assumes search is active. In reality, the first competitive task is restarting the search itself.
Habit loops reinforce the same structure. A cue triggers a routine that produces a satisfactory outcome. The brain marks the routine as efficient and repeats it automatically. So, unless it disrupts the cue-routine-reward cycle, advertising enters this environment as simple background noise. Persuasion inside that intact loop has limited effect because the loop itself prevents evaluation from initiating.
Taken together, these mechanisms form a gate rather than a spectrum—a buyer is either maintaining a solved decision or reopening it. That gate is invisible but decisive, and it precedes evaluation. It precedes the lifecycle model.
What the lifecycle model calls “pre-purchase” occurs after the cognitive gate has already opened. It organizes competition once entry is permitted, but it doesn’t explain what permits entry in the first place. Activation does that. Proper brand strategy does that.
Brand strategy begins long before consumer recognition
The proper brand strategy creation approach therefore doesn’t begin at the beginning of Galloway’s pre-purchase → purchase → post-purchase brand strategy model. It begins after the decisive event has occurred, after the market has already moved, after the real strategic work has either succeeded or failed without being recognized.
This is also why organizations feel trapped inside a paradox they cannot diagnose. Everything improves inside the system while growth slows outside it. Teams optimize messaging, interfaces, media efficiency, and conversion pathways. Metrics rise. Dashboards look healthier. Yet acquisition becomes harder, more expensive, and less predictable.
Nothing appears broken because nothing inside the model is broken. The machine is functioning exactly as designed.
But it’s simply optimizing a consequence and calling it strategy when it’s not.
Brand strategy operates upstream. Execution operates once evaluation is already underway.
If activation is omitted, every downstream interpretation inherits and compounds the error. What looks like competition inside the model is often just selection among survivors. What looks like persuasion is frequently the final expression of decisions made earlier and elsewhere.
The framework measures visible behaviour while ignoring the invisible shift that made behaviour possible. That omission becomes fatal in the next step.
The next article in this series moves into the place where traditional models insist the story begins and exposes a subsequent structural failure. Because even after activation occurs, consumers don’t evaluate brands the way marketing narratives claim. They don’t compare brands like judges scoring arguments. They eliminate brands like risk managers protecting themselves from regret.
Long before features, pricing, or persuasion matter, buyers remove anything that feels unsafe, implausible, unfamiliar, or difficult to justify. Which means that, by the time “pre-purchase” begins, most brands are already gone.
