Stop Thinking Like a Marketer. Start Thinking Like a Business Strategist.

November 2026

Imagine you're running marketing for a growing home improvement company.

The business has a decent website.

A steady stream of visitors.

Active social media accounts.

And advertising campaigns that generate inquiries every week.

Yet revenue has barely moved in six months.

The owner is frustrated.

So the team meets to discuss the problem.

Someone recommends increasing the advertising budget.

Another person wants to launch a TikTok account.

Someone suggests a website redesign.

And another proposes sending more promotional emails.

All reasonable ideas.

But there's one question nobody has asked.

Where, exactly, is the business losing its opportunity to grow?

After reviewing the numbers, the team discovers something surprising.

The company already receives plenty of qualified inquiries.

The problem is what happens afterward.

Prospects request estimates.

But many don't receive a response until the following day.

By then, some have already contacted another contractor.

The company doesn't necessarily need more traffic.

It needs a faster, more reliable lead-response process.

That's a very different problem.

And it requires a very different solution.

This is the difference between marketing activity and marketing strategy.

One asks:

“What should we launch next?”

The other asks:

“What's preventing us from achieving the result we want?”

That second question can change the direction of an entire business.

Find the actual obstacle before selecting a marketing tactic.

Discover why interested people hesitate, abandon, or delay decisions.

Look for repeatable patterns in campaigns and customer behavior.

Turn assumptions into measurable business experiments.

Communicate an insight that helps customers see their problem differently.

Understand how marketing decisions affect revenue, profit, and growth.

Make the problem and proposed solution understandable to decision-makers.

Use every experiment to improve future decisions.

Imagine a subscription-based meal planning company.

Its leadership wants more subscribers.

The marketing team proposes spending an additional $15,000 per month on paid advertising.

But a review of the customer journey reveals something important.

Thousands of people already visit the pricing page.

Many begin registering.

Then a large percentage abandon the process when asked to enter payment information before seeing a sample meal plan.

The problem may not be awareness.

It may be uncertainty about what customers will receive.

More advertising could simply send additional visitors into the same confusing experience.

Before increasing spending, ask:

Where does the customer journey break down?

What evidence suggests this is the problem?

What might explain the behavior?

And which change could improve the result?

Perhaps the company should test a sample meal plan before the payment step.

Perhaps it should clarify cancellation terms.

Perhaps the audience simply doesn't perceive enough value.

The answer requires investigation.

The most valuable marketing decision may be the campaign you decide not to run.

A customer rarely moves from discovering a business to purchasing without passing through several steps.

Consider a company selling professional training programs.

A potential customer might:

Discover an article.

Visit the website.

Review the program.

Request information.

Speak with an advisor.

Enroll.

Complete the training.

And recommend it to someone else.

Each stage affects the next.

If one stage performs poorly, improving another may produce limited results.

These numbers are hypothetical.

They reveal several questions worth investigating.

Why do only 20 of 200 qualified prospects enroll?

Is pricing unclear?

Are advisors following up?

Do prospects understand the program's outcomes?

Are competing programs more attractive?

Without that diagnosis, the company might spend heavily attracting more visitors while leaving its largest conversion problem unresolved.

Improving the weakest meaningful part of the system can be more valuable than increasing activity everywhere else.

Customers often describe their hesitation using simple language.

“It's too expensive.”

“I need to think about it.”

“Maybe next month.”

“I'm not ready.”

But those statements may not reveal the full concern.

Imagine a company selling inventory software to independent bookstores.

A store owner says the subscription is too expensive.

Further conversation reveals a different issue.

The owner worries about losing historical inventory records during the transition.

The subscription price matters.

But the fear of disrupting the business matters more.

Reducing the price might not solve that problem.

A guided migration process, clear data-handling explanation, or limited pilot could be more useful.

What is frustrating them about their current situation?

What attracts them to the proposed solution?

What makes the new solution feel risky?

What makes their existing approach comfortable?

These questions reveal competing motivations.

Customers may want change and resist it simultaneously.

Good marketing doesn't simply increase desire. It also helps people evaluate and overcome legitimate uncertainty.

Many businesses ask customers whether they like a product.

That's useful feedback, but it may not explain buying behavior.

Imagine a company selling specialized travel backpacks.

Instead of asking:

“Do you like our backpack?”

Ask:

“What happened that made you start looking for a new one?”

“What were you using before?”

“Which alternatives did you consider?”

“What almost stopped you from ordering?”

“What finally helped you decide?”

Those questions help reconstruct the purchase.

Perhaps customers started shopping after an airline damaged their existing luggage.

Perhaps they needed a bag that fit under an airplane seat.

Perhaps they struggled to compare dimensions across brands.

Each discovery could influence marketing.

Interview five recent buyers.

Include customers who purchased quickly and those who hesitated.

Document their decision timeline.

Look for recurring triggers, anxieties, and moments of clarity.

Then compare the findings with website behavior and sales data.

Don't assume five interviews represent the entire market.

Use them to generate better hypotheses for further testing.

The purpose of customer research isn't to hear what people think of your marketing. It's to understand the decisions your marketing needs to support.

Marketing teams often get excited about what's new.

New platforms.

New formats.

New software.

New campaign concepts.

But existing results may contain more useful opportunities.

Imagine a company selling professional office furniture.

Its marketing team reviews twelve months of campaigns.

Most advertisements perform adequately.

But one educational guide consistently generates qualified inquiries.

The guide explains how to plan furniture purchases for a growing office.

Why does it perform better?

Perhaps buyers appreciate the practical budgeting information.

Perhaps the guide reaches companies at the right stage of expansion.

Perhaps it answers questions that other competitors ignore.

Instead of immediately creating an unrelated campaign, the company could investigate the pattern.

Expand: Can the successful guide reach more relevant customers?

Improve: Can the company make the content clearer or more useful?

Explore: Once the opportunity has been reasonably developed, what adjacent idea deserves testing?

This approach doesn't mean avoiding innovation.

It means learning from proven evidence before resetting the process.

Sometimes growth comes from doing more of the right thing—not doing something entirely different.

An outlier is a result that performs unusually well or poorly compared with similar results.

These differences can reveal valuable information.

Imagine an online store selling pet accessories.

Most products have modest repeat purchase rates.

But one category of washable feeding mats attracts unusually high repeat purchases and recommendations.

The business could simply celebrate the result.

Or it could investigate.

Are customers buying replacements?

Purchasing multiple colors?

Giving them as gifts?

Ordering for multiple pets?

Did a particular demonstration attract a more suitable audience?

Understanding the reason matters.

If the success reflects a repeatable customer need, it may support additional products or marketing.

If it came from a temporary promotion, it may not be sustainable.

Find the result.

Verify the data.

Compare it with similar campaigns or products.

Identify plausible explanations.

Test whether the pattern repeats.

A surprising result becomes a strategic advantage only when you understand what caused it—or at least what evidence supports your explanation.

Consider these statements:

“Our strategy is Instagram.”

“We're going all-in on email.”

“We're investing in SEO.”

“We need more video.”

Those describe channels or activities.

They don't explain why the business expects to grow.

A stronger strategic statement connects an audience problem to a proposed action.

Weak:

“We're launching a LinkedIn campaign.”

Stronger:

“Restaurant purchasing managers struggle to evaluate supplier reliability before placing their first order. We'll test whether showing our fulfillment process and delivery standards increases qualified sample requests.”

Now the business has a clear hypothesis.

It knows whom it's trying to reach.

What concern it wants to address.

What message it will communicate.

And what result it will measure.

LinkedIn might be an appropriate channel.

But the strategy exists independently of LinkedIn.

The channel carries the message. The strategy explains why the message should work.

A campaign becomes more useful when it tests a specific belief.

Imagine a company selling maintenance contracts for commercial properties.

The team believes property managers are more concerned about unexpected downtime than receiving the lowest possible monthly price.

That belief could guide a campaign.

We believe property managers prioritize predictable response times.

Because emergency maintenance delays disrupt tenants and building operations.

We will test a service message emphasizing documented response procedures rather than introductory discounts.

We will measure qualified inquiries, proposal requests, and contract conversion rates.

We will invest a limited, predetermined test budget.

This is much stronger than launching advertisements and hoping for leads.

The company can compare outcomes.

Learn whether the message resonates.

And decide whether to continue.

A hypothesis isn't a fact.

The campaign might fail.

But a properly designed test can still provide valuable information.

Strategy turns a marketing idea into a decision that evidence can improve.

Many marketers maintain folders filled with advertisements.

Interesting headlines.

Landing pages.

Email campaigns.

Product launches.

And social media posts.

These collections can inspire creative work.

But a screenshot rarely explains why something succeeded.

Imagine saving an advertisement for a premium luggage company.

The creative shows a suitcase beside an airport departure board.

The headline is memorable.

But what made the campaign effective?

Was it the message?

The audience?

The offer?

The distribution?

The product's reputation?

Or the timing?

Without that context, copying the visual style may produce little value.

For every useful campaign, document:

The business problem: What was the company trying to improve?

The customer insight: What did the campaign recognize about its audience?

The strategic decision: What approach did the business choose?

The evidence: What results are publicly documented or internally verified?

The transferable lesson: Under what conditions might the principle apply elsewhere?

Be careful about attributing success to a single element when multiple factors may have contributed.

Don't copy the campaign. Understand the reasoning you can responsibly test in your own market.

Imagine two companies selling residential window cleaning services.

The first says:

“We provide affordable, professional window cleaning.”

The second says:

“Your windows shouldn't look clean for one afternoon. They should stay easier to maintain between appointments.”

The second message introduces a more specific perspective.

It suggests the company focuses on ongoing maintenance rather than a one-time appearance.

That position could shape:

Service packages.

Cleaning methods.

Customer education.

Follow-up schedules.

And marketing content.

But the company must actually deliver on the claim.

Complete these statements:

“Most businesses in our category focus on ______.”

“We believe customers care more about ______.”

“That's why our approach emphasizes ______.”

The objective isn't to be controversial.

It's to identify a meaningful difference that customers can understand and verify.

A strong point of view doesn't just make marketing sound different. It gives the business a consistent reason to make different decisions.

Imagine a company selling employee scheduling software to small hospitality businesses.

Its original message is:

“Create schedules faster with our easy-to-use platform.”

That's a reasonable product benefit.

But customer research reveals that managers are less concerned about the time required to build a schedule.

They're frustrated by last-minute changes, missed notifications, and confusion about shift coverage.

Now the company can communicate a more relevant message:

“Know who's covering every shift before the workday begins.”

The product hasn't necessarily changed.

But the framing has.

The marketing connects the solution to a problem customers recognize.

Does the message reveal something useful about the customer's situation?

Does it make the problem clearer?

Does it connect directly to the product's actual capabilities?

Can the business support its claims?

If the answer is yes, the message may be more persuasive than another generic list of features.

Great marketing often helps customers understand why a problem matters before explaining how a product addresses it.

Imagine a marketing manager proposing a new customer onboarding email sequence.

The presentation begins with attractive email designs.

Leadership comments on the colors.

The photography.

The layout.

And the subject lines.

But nobody discusses the business problem.

Now consider a different presentation.

The manager begins with the data.

The company acquired 1,000 new customers last quarter.

Only 420 completed the setup process.

Customer support received repeated questions about the first three steps.

And customers who didn't complete setup were less likely to become active users.

These numbers are illustrative.

The manager then explains the hypothesis:

A clearer onboarding experience may help more customers reach their first successful use of the product.

Only after establishing the problem does the manager show the proposed email sequence.

Now the design is evaluated in context.

Start with the business objective.

Show the relevant customer behavior.

Explain the obstacle.

Quantify its potential importance.

Present the proposed solution.

Define the test and measurement plan.

When people understand the problem, they can evaluate the solution more intelligently.

A marketing problem often seems less urgent when its financial consequences aren't clear.

Imagine a company generating 500 qualified inquiries per month.

Only 60% receive a follow-up within the company's target response window.

That leaves 200 inquiries receiving slower responses.

Suppose the team estimates that improving response times could produce additional sales.

The company shouldn't present that estimate as guaranteed revenue.

But it can calculate scenarios.

For example:

If faster follow-up results in 10 additional customers per month, and each contributes $300 after variable costs, that's $3,000 in additional monthly contribution before any added fixed expenses.

The actual outcome could be higher, lower, or zero.

The calculation simply helps leadership understand the potential opportunity.

Current performance.

Size of the affected customer group.

Reasonable improvement scenarios.

Implementation costs.

Operational capacity.

And the evidence required to continue investing.

A business case becomes stronger when it explains both the potential value of action and the uncertainty surrounding it.

Marketing reports often resemble activity logs.

“We published 18 social posts.”

“We sent four newsletters.”

“We launched three advertisements.”

“We updated the landing page.”

Those activities may be necessary.

But they don't tell leadership whether the business improved.

A more strategic report connects work to outcomes.

The second column doesn't assume success.

It describes what the work is intended to establish.

After the test, report actual results.

What improved?

What declined?

What remained unchanged?

What did the team learn?

What should happen next?

The value of marketing isn't the amount of work produced. It's the business impact and knowledge the work creates.

Not every campaign should be judged by the same numbers.

Imagine a company trying to improve awareness among a new customer segment.

Relevant measures might include qualified reach, brand recognition research, or changes in relevant search behavior.

Now imagine a company trying to improve trial-to-paid conversion.

The important measures may be activation rates, paid conversion, customer acquisition cost, and contribution margin.

The objective determines the measurement.

Low awareness: Are more relevant customers becoming familiar with the business?

Low engagement: Are customers finding the content useful enough to continue?

Low conversion: Are more qualified prospects taking the desired action?

Poor retention: Are customers continuing to receive value and remain active?

Weak profitability: Are sales generating sufficient contribution after costs?

Avoid measuring only what's easiest to report.

And distinguish leading indicators from final outcomes.

A higher email click rate might suggest improved interest.

It doesn't automatically mean higher profit.

A metric is valuable when it helps answer a meaningful business question.

AI can quickly produce:

Campaign ideas.

Audience segments.

Headline variations.

Content calendars.

Email drafts.

Advertising concepts.

And reporting summaries.

These capabilities can be useful.

But generating a list of plausible tactics isn't the same as identifying the right business problem.

Imagine asking AI:

“How should a local accounting firm grow?”

It might suggest social media, SEO, email newsletters, referrals, and paid advertising.

Those could all be reasonable.

But what if the firm already has more inquiries than it can handle?

Its real challenge might be converting the right prospects, improving client onboarding, or retaining profitable accounts.

More lead generation could worsen the situation.

Ask it to help:

Organize customer research.

Summarize campaign data.

Generate alternative explanations.

Identify missing information.

Compare potential experiments.

Draft measurement plans.

And challenge assumptions.

Then validate the outputs against real business information.

Use appropriate data security and privacy controls.

AI can help you examine the possibilities. It shouldn't replace your responsibility to choose the right problem.

A business owner proposes launching a podcast.

The sales team wants more brochures.

A department manager requests another email campaign.

Someone suggests investing in a new advertising platform.

Every request creates work.

But not every request creates meaningful value.

Imagine a marketing team with limited time and budget.

Its most important current problem is poor conversion from product trials to paid subscriptions.

Launching a podcast might support long-term brand development.

But if resources are limited, improving product activation may deserve priority.

A strategist should be able to explain that decision.

Does this request address a meaningful business constraint?

Is there evidence supporting the opportunity?

What resources will it require?

What work will be delayed?

How will we know whether it helped?

What happens if we don't do it?

Saying no doesn't mean dismissing good ideas.

It means making resource allocation intentional.

A strategy becomes real when it determines what the business will not prioritize.

Imagine a marketing director asks how to improve conversion rates.

The team presents three options.

Redesign the website.

Increase retargeting.

Or offer a discount.

Each option has attractive slides.

But the team doesn't recommend one.

Leadership is now expected to choose without the benefit of a clear strategic conclusion.

A better approach is to present a recommendation supported by evidence.

Problem: Too many interested prospects abandon registration.

Evidence: Customer interviews and session analysis suggest confusion about membership benefits.

Recommendation: Test a simplified benefits explanation before changing pricing.

Reasoning: The current evidence points more strongly toward unclear value than price resistance.

Measurement: Registration completion, qualified membership starts, and subsequent retention.

Alternatives considered: Discounts, retargeting, and a full website redesign.

Why they're not first: They involve additional costs or address less-supported explanations.

Now leadership can evaluate a decision.

The team has demonstrated judgment.

And the alternatives remain available if new evidence changes the conclusion.

Strategic leadership means doing the thinking required to recommend a course of action.

The ultimate goal isn't one brilliant campaign.

It's a repeatable process for making better decisions.

Imagine a company that documents every meaningful marketing experiment.

For each test, it records:

The business problem.

The customer insight.

The hypothesis.

The investment.

The measurement plan.

The results.

The limitations.

And the next decision.

Over time, the company builds a practical knowledge base.

New employees can understand previous decisions.

Teams can avoid repeating failed experiments without good reason.

Successful patterns can be investigated further.

And leadership can see how marketing resources are being used.

This creates an advantage that isn't dependent on one individual remembering everything.

Diagnose.

Research.

Prioritize.

Test.

Measure.

Document.

Decide.

Repeat.

The best marketing organization isn't necessarily the one with the most ideas. It's the one that learns how to make better decisions from the ideas it tests.

Marketing is often treated as a production department.

The business needs content.

Marketing creates content.

The business needs leads.

Marketing launches advertisements.

The business needs a promotion.

Marketing writes the emails.

But production is only one part of the job.

The deeper opportunity is helping the business understand why growth is happening—or why it isn't.

That requires more than creativity.

It requires customer research.

Business economics.

Analytical thinking.

Prioritization.

Experiment design.

And the ability to explain difficult decisions clearly.

A marketer who understands those things can contribute far beyond the next campaign.

And a business owner who adopts those habits can make better decisions even without a large marketing team.

The real competitive advantage isn't knowing more marketing tactics. It's knowing which problem deserves a tactic in the first place.

A practical 16-step system for turning marketing from a collection of activities into a disciplined business-growth process.

Identify the business outcome that matters most right now.

Document the customer journey from discovery through purchase and retention.

Find the stage where performance is limiting progress.

Confirm the issue with reliable data rather than assumptions.

Speak with customers to understand the reasons behind their behavior.

Review successful campaigns, customer segments, and unusual results.

Choose the problem with the strongest combination of potential impact, evidence, and feasibility.

State what you believe is causing the problem and what might improve it.

Develop a message grounded in a meaningful customer insight.

Create an experiment that can test the proposed solution.

Set a responsible limit on time, money, and resources.

Launch the test with appropriate quality controls.

Track the metrics connected to the original business objective.

Examine results, limitations, and alternative explanations.

Decide whether to expand, revise, stop, or investigate further.

Capture the learning so future decisions become better informed.

This system can be used for:

Email marketing.

Paid advertising.

Social media.

Website optimization.

Customer onboarding.

Lead generation.

Retention campaigns.

And broader business growth initiatives.

The tactics change.

The decision-making discipline remains.

Not every business has one obvious constraint.

Some have several interconnected problems.

Fixing one may expose another.

And a campaign that performs well today may become less effective as customer behavior, competition, and market conditions change.

Customer interviews can reveal valuable insights, but small samples don't prove how an entire market behaves.

A successful campaign doesn't establish that every element of its execution caused the result.

A distinctive point of view isn't automatically correct simply because it challenges conventional wisdom.

And measurable outcomes can be affected by factors outside the marketing team's control.

The goal is not perfect certainty.

It's better decision-making under uncertainty.

Also, becoming an exceptional strategist is not something a calendar can guarantee in 90 days.

But 90 days can provide enough time to practice a more rigorous way of working.

The real transformation is moving from “What should we create?” to “What do we know, what needs to change, and what should we test next?”

Before approving your next marketing campaign, complete this five-question growth diagnosis.

1. What business result are we trying to improve?

Be specific.

2. What's currently preventing that result?

Identify the suspected obstacle.

3. What evidence supports that diagnosis?

Use data and customer insights.

4. What is the smallest meaningful experiment we can run?

Avoid unnecessary commitments.

5. What result would change our decision?

Define success, failure, and what you need to learn.

For example:

“We want to increase repeat purchases. Our data suggests customers rarely return after their first order. We believe unclear product replenishment timing may contribute to the problem. We'll test helpful replenishment reminders with an appropriate customer segment and measure repeat purchases, opt-outs, and incremental contribution.”

That statement is more useful than:

“Let's send more emails.”

It identifies a problem.

Makes an assumption explicit.

Proposes a test.

And connects the work to a business outcome.

That's strategic thinking in action.

The most effective marketers aren't necessarily the people who know the most platforms.

They aren't always the strongest designers.

The fastest copywriters.

Or the people with the biggest campaign budgets.

They're the people who can look at a complicated business problem and ask the right questions.

Where are customers getting stuck?

Why are they hesitating?

What's already working?

What do the numbers actually tell us?

Which assumption deserves testing?

What should we stop doing?

And what decision will create the most useful progress?

These questions turn marketing into something bigger than content production.

They turn it into a disciplined process for improving the business.

Because the goal isn't to launch more campaigns.

It's to understand which actions deserve investment—and why.

— Business Express Insider