Relevance Is Not a Message, It Is a System

Craig Premo

Hatched by Craig Premo

May 20, 2026

10 min read

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The hidden problem behind relevance

What do a doctor choosing a specialty and a marketer trying to win an enterprise account have in common? At first glance, almost nothing. One is a deeply personal career decision, the other a commercial strategy problem. But both are really about the same thing: how people decide what deserves their attention, trust, and commitment when the noise is overwhelming.

That is why relevance is so often misunderstood. Most teams treat it like a slogan, a clever line, or a polished presentation. But relevance is not a message that you send. It is a system that proves, over time, that you understand what matters now. In medicine, a specialty becomes attractive when it feels aligned with identity, lifestyle, meaning, and future opportunity. In account based marketing, a target account becomes reachable when your research, segmentation, content, and outreach align with the account’s priorities, stage, and internal politics.

The deeper question connecting these worlds is simple: how do you earn choice in a crowded field? The answer is not by being louder. It is by becoming more legible, more useful, and more timely than the alternatives.


Relevance has three layers: identity, evidence, and timing

Most attempts at persuasion fail because they focus only on the surface layer: timing. A clever campaign lands at the right moment, but if the audience does not already see itself in the offer, the moment is wasted. Real relevance has three layers.

1. Identity: Do I see myself here?

People do not choose based on facts alone. They choose based on whether a path fits the story they tell about themselves. A doctor evaluating specialties is not only comparing compensation or prestige. They are asking: What kind of professional will I become? Will this work match my temperament, values, and desired life? A marketer targeting an account is asking a parallel question on behalf of the buyer committee: Does our offer map to the way they define their mission, priorities, and internal success?

This is why generic targeting fails. If you approach every account, or every person, with the same pitch, you are effectively asking them to wear an identity that was not tailored to them. That is not persuasion. That is friction.

2. Evidence: Do you understand my actual situation?

Identity alone is not enough. People also need proof that you understand their reality. In a buying committee, that means knowing the strategic initiatives, challenges, jobs to be done, KPIs, and current journey stage. In a career choice, it means knowing the day to day tradeoffs, the training path, the work environment, and the opportunity structure.

This is where many programs collapse. They collect shallow signals, then jump to activation. But without evidence, personalization becomes decorative. It looks bespoke while feeling generic. Real evidence is not just data enrichment. It is situational intelligence: the ability to say, “We know what matters to you, and we know why it matters now.”

3. Timing: Why now, and why this path?

Timing is where relevance becomes action. An account can be perfectly aligned in theory, but if it is not in a moment of active need, the message lands as noise. A specialty can be admirable in abstract, but if it does not fit the timing of a person’s life, it will not be chosen.

This is why segmentation matters so much. Not every account should be treated the same way. Some are not aware of you and do not yet have product need evidence. Some are aware but still future pipeline. Some are active focus accounts where awareness and need are already present. These are not just marketing categories. They are different psychological states of readiness.

Relevance is not merely about being understood. It is about being understood at the moment understanding can change behavior.


Why most personalization is fake

Personalization has become one of the most overused words in growth and sales, largely because people confuse customization with relevance. Changing a company name in an email is not personalization. Referencing a funding round is not personalization. Even mentioning a recent event is not enough.

True personalization begins earlier, in the architecture of the program. If there is no dedicated team, no defined goal, no clear cluster, no win and loss analysis, no account qualification logic, and no segmentation model, then personalization is just theater. It may look sophisticated in the inbox, but underneath it is built on guesswork.

A useful way to think about this is the difference between a tailored suit and a costume. A costume is visually specific. A tailored suit is structurally specific. The costume might get attention for a moment, but the suit fits the body. In ABM, the body is the account. The fit comes from understanding its structure: firmographics, technographics, buying committee composition, stage, relationship history, and product need signals.

This distinction matters because bad personalization often creates a false sense of progress. Teams see higher open rates or a few positive replies and assume the program is working. But if the account does not move through awareness, development, and activation, the system is not creating relevance. It is creating chatter.

The same trap exists in career choice. Prestigious specialties attract attention, but prestige alone does not produce durable satisfaction. The real fit comes from the alignment between the work and the person’s deeper priorities. In both cases, the surface can be impressive while the underlying system remains mismatched.


The relevance stack: a practical framework

If relevance is a system, what is the system made of? Here is a useful model: the relevance stack. It has four layers, each one necessary, none sufficient on its own.

Layer 1: Qualification

Before outreach, before content, before activation, decide who belongs in the universe. This means defining clear qualification and disqualification criteria. In a market setting, that includes firmographics and technographics. In a life decision, it means knowing which paths are actually compatible with the person’s goals, constraints, and temperament.

Qualification is not exclusion for its own sake. It is the discipline that prevents wasted effort. A broad wish list is a seductive trap because it feels ambitious while making execution vague.

Layer 2: Segmentation

Once qualified, not all accounts or choices should be treated equally. Segment by readiness and relationship to your offer. A useful structure is:

  1. Cluster ICP accounts: Not aware, product need unknown.
  2. Future pipeline accounts: Aware, product need unknown.
  3. Active focus accounts: Aware, product need known.

This is a powerful model because it turns a static database into a dynamic map of attention. Instead of asking, “Who should we target?” ask, “What kind of readiness do they have, and what earns the next step?”

Layer 3: Research

Research should not be an amorphous effort to “learn more.” It should answer a fixed set of questions that are directly tied to action: strategic priorities, challenges, jobs to be done, KPIs, and account enrichment. Split this into desk research and one to one research so the team knows what can be learned cheaply and what requires human contact.

This is where many programs gain leverage. A little disciplined research beats a lot of random personalization. If you know which initiative is under pressure, what metric the buyer is judged on, and what internal obstacle they face, your message becomes a mirror instead of a megaphone.

Layer 4: Activation

Activation is the point where insight becomes motion. The goal is not to impress. The goal is to create a bridge to discovery. That bridge may be a relevant offer, a specific diagnosis, a useful benchmark, or a small proof point that lowers perceived risk.

This is the crucial insight: activation is not the start of relevance, it is the test of whether relevance already exists.

Systems win where messages fail, because systems make the next step feel inevitable.


What doctors and accounts both teach us about choice

The reason these two worlds connect so well is that both are governed by selection under uncertainty. A person choosing a specialty cannot know everything about the future version of themselves. A buying committee cannot know with certainty which vendor will best serve its future state. In both cases, the chooser is trying to reduce uncertainty without losing agency.

That means the winning strategy is rarely to overwhelm with information. It is to reduce the cost of choice.

For a doctor, that might mean seeing a path that looks personally sustainable, intellectually alive, and socially meaningful. For an account, that might mean encountering a vendor who already understands the initiative, the stakeholders, the objections, and the internal decision path. In both settings, the winning party is the one that makes the choice feel less like a leap and more like a continuation.

This has a major implication for teams that want relevance. They should stop thinking of their work as trying to “convince” people. Instead, they should ask: How do we make the right option easier to recognize?

That reframes the entire game.

A great specialty is not merely attractive. It is intelligible to the right candidate at the right moment. A great ABM program is not merely personalized. It is legible to the buying committee at the moment when their need is becoming actionable.


The real work is operational, not rhetorical

There is a romantic myth in both medicine and marketing that excellence is mostly about insight. In reality, insight is cheap unless it is operationalized.

Operationalization means building the machinery that turns understanding into repeatable action. It means playbooks, ownership, documentation, templates, scripts, measurement, and a clear sequence of steps. It means knowing who does what, how success is defined, and what the next move is when an account moves from one stage to another.

This is the unglamorous truth: relevance scales only when it is documented. Without documentation, personalization depends on heroic individuals. With documentation, it becomes a process. That is the difference between occasional wins and a system that compounds.

A mature playbook does more than instruct. It encodes judgment. It tells the team what good looks like, how to recognize signal, and how to avoid wasting effort on accounts or paths that are not ready. In other words, it protects the organization from confusing activity with progress.

And this is exactly why relevance is such a useful lens for career choice too. The most satisfying paths are rarely chosen because of isolated attributes. They are chosen because the person has a reliable framework for recognizing fit. They know what signals matter, what tradeoffs they can live with, and what kind of future is actually being offered.


Key Takeaways

  1. Treat relevance as a system, not a message. If the strategy, segmentation, research, and activation steps are weak, no amount of polished messaging will save the program.

  2. Personalization without qualification is theater. Start by defining who belongs in your universe and who does not. Broad targeting wastes effort and dilutes signal.

  3. Segment by readiness, not just by fit. An aware account with no explicit need should not be treated the same as an active focus account with clear product need.

  4. Research should answer operational questions. Learn the priorities, challenges, KPIs, and journey stage that will change your next move, not just background trivia.

  5. Build bridges, not just campaigns. The goal of activation is to lower the cost of the next step, whether that next step is a discovery call, a committee meeting, or a decision to explore further.


The final reframing

The deepest mistake people make about relevance is thinking it is about proximity to the audience. It is not. Relevance is about alignment with the audience’s internal reality.

That is why some specialties keep attracting the right people and some programs keep opening the right doors. They do not merely speak to external demand. They align with how people define themselves, what they need now, and what feels possible next.

In that sense, relevance is a kind of architecture. It is built from constraints, intelligence, and timing. It does not shout, because it does not need to. It recognizes the chooser before the chooser fully recognizes themselves.

That is the standard worth aiming for. Not attention. Not personalization theater. Not even preference. True relevance makes the right choice feel both surprising and inevitable.

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