Sep 30, 2026
Can a Company Go Bankrupt While Breaking Sales Records?
The dilemmas of Kotlerian management marketing: why a brand can weaken while the dashboard is entirely green, the limits of ROAS, and using data as a compass rather than a steering wheel.
Strategy
Data
Brand
Data
A sales record is not a guarantee of healthy growth.®
Marketing’s New Problem Is Not a Lack of Data, but Believing Data Too Much
Picture a marketing meeting. There are dozens of charts on the screen. ROAS is up. CTR is above target. CPA is down. Conversion rate has increased. Remarketing works perfectly. Campaign targets were hit. The dashboard is almost entirely green.
Each number looks successful on its own. But at the end of the day, one question lingers: Is the company really growing?
Because the number of new customers may not be rising. Branded searches may be flat. Repeat purchases may be weakening. Organic traffic may be shrinking. Customers may only come during discount periods. Margin may be falling while sales rise. And more importantly, the brand may mean less and less in the consumer’s life.
This is where one of modern marketing’s most dangerous paradoxes begins: the brand may be dying while the dashboard is green.
We Began to Mistake What We Can Measure for Reality
One of the biggest revolutions digital marketing brought was measurability. It used to be hard to know exactly how many people a TV ad persuaded to buy.
Today we can measure almost every move. Who clicked? Who added to cart? Who bought? Which ad? Which creative? What time? Which device? Which audience? This is an extraordinary development.
But as with every great technological advance, the tool gradually became the goal. At first we used data to understand marketing. Then we started doing marketing to improve the data. The difference looks small. In fact it is enormous.
Goodhart’s Law
Dashboard health and business health are not the same thing.®
When a Metric Becomes a Target, Reality Gets Distorted
The essence of the principle named after economist Charles Goodhart is simple: when a measure becomes a target, it starts to lose its ability to be a good measure. We see examples of this in marketing every day.
If ROAS is the target, the system produces ROAS. But it doesn’t have to produce company growth. If CTR is the target, the creative team produces clickable ads. But it doesn’t have to produce a strong brand. If conversion is the target, the performance system chases the customers closest to purchase again and again. But it doesn’t have to create new demand. If CPA is the target, the algorithm cuts costs. But it doesn’t have to bring customers with high lifetime value.
In the end a company can have excellent metrics. But it can turn into a bad growth model. That is why in The Marketer of the Mediocre I make this distinction: dashboard health and business health are not the same thing.
ROAS Doesn’t Tell Us Everything
ROAS is not a bad metric. The problem is the meaning we load onto it. You spent 10 million lira on ads. 50 million lira in sales came in. ROAS is 5. At first glance, great.
But without asking a few questions we don’t know what it really means. How much of these sales would have come without the ads? How many customers are new? How many are existing? What is the contribution margin of these customers? What is the real cost of the discounts? What is the return rate? How likely is a new customer to buy a second time? What is the customer lifetime value? Did the sales increase the brand’s pricing power? Or did they train consumers to wait for campaigns?
ROAS alone cannot answer any of these. Because a metric only tells us what it was designed to measure. Not the whole truth.
Demand
Capturing Demand Is One Thing, Creating Demand Is Another
Performance marketing is outstanding at capturing existing demand. It finds the person searching for your product on Google. It identifies customers with a high likelihood to buy. It brings back customers who abandoned their carts. It does remarketing. It optimises conversion. All of this is valuable.
But there is another question: Who will make the person who isn’t searching for you yet want you? This is where the brand begins. Capturing demand and creating demand are not the same thing.
Great brands don’t grow only because they put more accurate ads in front of existing customers. At some point they enter culture. They create desire. They represent identity. They produce a new behaviour. They bring new customers into the category. Sometimes they redefine the category itself.
Performance marketing optimises demand. A brand can change why demand exists at all.
The Algorithm Is Not Trying to Grow Your Brand
The algorithm’s job is not to understand your company. It is to optimise the target you give it. Say “bring purchases” and it finds the people closest to buying. Say “raise ROAS” and it goes to the customers who look most efficient. Say “lower CPA” and it looks for cheaper conversion points.
From the system’s point of view this is entirely rational. But it is not always equally rational for the brand’s long-term growth. Because the algorithm doesn’t ask: Who will this brand’s customer be in five years? What does the brand represent in culture? Is a new community forming? Do we have a field of meaning different from competitors? Is our pricing power rising? Are we sparking curiosity in people who don’t know us at all?
If you haven’t given the algorithm these as targets, it doesn’t care about them. The machine does its job. Setting the strategy still belongs to humans.
What Is Easy to Measure Has Started to Eat What Matters
In corporate life it is very easy to say: “ROAS is 6.” Because it is clear. Numerical. Comparable. It fits in a presentation. It is harder to say: “The brand’s cultural impact is strengthening.” Because it doesn’t fit in a single cell.
So over time, things that are easy to measure gain more value in the management system. Clicks. Conversions. Traffic. Sales. Cost. Meanwhile, values that are harder to measure fall into the background. Desire. Trust. Prestige. Brand memory. Cultural resonance. Community. Belonging. Aesthetic power.
Yet a large part of what separates great brands from ordinary ones forms exactly here. What is hard to measure is not low in value. Sometimes our measurement system is simply inadequate.
Culture and Intuition
Data Tells the Past
One of the core principles of the Akdağ Doctrine is: culture comes before data. This is not anti-data. It is placing data on the right timeline.
Sales data shows behaviour that has already happened. CRM describes your existing customers. Search data shows today’s interest. Web analytics records movement that has already occurred. All of this is valuable. But tomorrow’s sales data doesn’t exist yet today.
Tomorrow’s customer first starts showing up elsewhere. On the street. In music. In the language of fashion. On TikTok. In new words. In new aesthetics. In new rituals. In new communities. In new rejections. Data turns these into numbers later. The job of cultural intelligence is to see the change before the numbers form.
Intuition or Data?
This too is a wrongly framed debate. One side says: “Whatever the data says, goes.” The other says: “I’ve been doing this for years, I can feel it.” Each is dangerous on its own.
That is why the Akdağ Doctrine doesn’t pit intuition against data. Intuition generates a hypothesis. Data tests it. The result strengthens or changes the intuition. The changed intuition generates a new hypothesis. The new hypothesis is tested again. As this loop continues, the manager’s decision quality rises.
Intuition here is not a mystical talent. It is a pattern-recognition capacity built up over years in the field. Data is not absolute truth either. It is a measurement of a certain part of reality. An organisation that can use both together is stronger.
A Good Marketer Looks at the Metric. A Great Marketer Also Looks at What the Metric Hides.
ROAS is rising. Good. What about the new-customer rate? CTR is rising. Good. What does this creative teach us about the brand? Conversion is rising. Good. Is the number of new people visiting the site rising too? Sales are up. Good. What about margin? The basket is growing. Good. Is the customer coming more often, or just paying a higher price? The campaign worked very well. Good. What happens when it ends?
Second questions take marketing from reporting to management.
Are We Really Growing?
The Purpose of Marketing Is Not to Produce Metrics
The purpose of marketing is to produce economic value. That is why marketing is not just advertising. It is not social media. It is not brand communication. It is certainly not performance marketing. Marketing must be able to manage the customer, product, price, channel, experience, brand, loyalty, sales and profitability within the same growth architecture.
The CMO’s desk should hold not only media results but commercial results. Is the new-customer base growing? Is LTV rising? Is CAC sustainable? Is retention improving? Is the organic sales share increasing? Is the brand searched for directly? Is pricing power rising? Is purchase frequency increasing? Is category penetration growing? And at the end of the day: Is the company turning into a stronger economic structure?
AI May Not Solve the Problem. It May Amplify It.
Artificial intelligence will dramatically increase marketing’s optimisation capacity. Thousands of creative variations will be tested. Customers will be split into micro-groups. Media budgets will be optimised in real time. Offers will be personalised. Forecasting models will get stronger. Reports will be ready in seconds.
But what happens if you give the wrong target to the best algorithm in the world? You do the wrong thing with extraordinary efficiency. That is the real risk of the coming period. AI will teach us how to optimise more. But the question humans must answer first will not change: What are we optimising? ROAS? Profit? LTV? Growth? Brand? New demand? Customer relationships? Because optimisation is not strategy.
What Does the Akdağ Doctrine Propose?
Not switching off the dashboard. Certainly not abandoning data. On the contrary: managing a broader reality. Use data as a compass. Not as a steering wheel.
Watch culture. Listen to the community. See new desire early. Run small experiments. Measure real behaviour. Evaluate LTV and CAC together. Put short-term performance and long-term brand value on the same table. Track organic growth. And optimise the business, not the metric.
Conclusion
In the coming years, the marketer won’t have a data problem. On the contrary, they will have a data surplus problem. More dashboards. More forecasts. More AI analysis. More optimisation. And probably more green boxes.
That is why a manager’s value will lie not in accessing data but in interpreting it. In understanding which number matters, which metric tells an incomplete story of reality, which development hasn’t yet shown up in the numbers, and which opportunity is beginning to form in culture before it appears on everyone’s screen.
So at the next marketing meeting, when the dashboard is entirely green, perhaps the first question we should ask is: “Good. But are we really growing?”
Because a successful dashboard and a successful company are not the same thing.
Related reading: Why Does a Company Lose Money While Revenue Grows? — a financial view through contribution margin, collections, stock and the cash conversion cycle.
My Recent Posts
(Gökhan Akdağ)
©2026
What Is Marketing Consulting? How to Build a Marketing Strategy, Plan, Budget and Management Discipline
Oct 9, 2026
Marketing
What Is Retail Consulting? Store Management, Sales Growth, KPIs, Profitability and Retail Math
Oct 9, 2026
Retail
What Is Commercial Growth Consulting? How to Manage Sales, Marketing, B2B, Export, Organisation and Profitable Growth
Oct 9, 2026
Strategy
FAQ
01
What does GA Consulting do?
02
What is your approach?
03
How do projects progress?
04
What is your focus?
05
Which areas do you work in?
06
What value does it create for companies?
07
Which companies is it right for?
08
How long until a project delivers results?
Sep 30, 2026
Can a Company Go Bankrupt While Breaking Sales Records?
The dilemmas of Kotlerian management marketing: why a brand can weaken while the dashboard is entirely green, the limits of ROAS, and using data as a compass rather than a steering wheel.
Strategy
Data
Brand
Data
A sales record is not a guarantee of healthy growth.®
Marketing’s New Problem Is Not a Lack of Data, but Believing Data Too Much
Picture a marketing meeting. There are dozens of charts on the screen. ROAS is up. CTR is above target. CPA is down. Conversion rate has increased. Remarketing works perfectly. Campaign targets were hit. The dashboard is almost entirely green.
Each number looks successful on its own. But at the end of the day, one question lingers: Is the company really growing?
Because the number of new customers may not be rising. Branded searches may be flat. Repeat purchases may be weakening. Organic traffic may be shrinking. Customers may only come during discount periods. Margin may be falling while sales rise. And more importantly, the brand may mean less and less in the consumer’s life.
This is where one of modern marketing’s most dangerous paradoxes begins: the brand may be dying while the dashboard is green.
We Began to Mistake What We Can Measure for Reality
One of the biggest revolutions digital marketing brought was measurability. It used to be hard to know exactly how many people a TV ad persuaded to buy.
Today we can measure almost every move. Who clicked? Who added to cart? Who bought? Which ad? Which creative? What time? Which device? Which audience? This is an extraordinary development.
But as with every great technological advance, the tool gradually became the goal. At first we used data to understand marketing. Then we started doing marketing to improve the data. The difference looks small. In fact it is enormous.
Goodhart’s Law
Dashboard health and business health are not the same thing.®
When a Metric Becomes a Target, Reality Gets Distorted
The essence of the principle named after economist Charles Goodhart is simple: when a measure becomes a target, it starts to lose its ability to be a good measure. We see examples of this in marketing every day.
If ROAS is the target, the system produces ROAS. But it doesn’t have to produce company growth. If CTR is the target, the creative team produces clickable ads. But it doesn’t have to produce a strong brand. If conversion is the target, the performance system chases the customers closest to purchase again and again. But it doesn’t have to create new demand. If CPA is the target, the algorithm cuts costs. But it doesn’t have to bring customers with high lifetime value.
In the end a company can have excellent metrics. But it can turn into a bad growth model. That is why in The Marketer of the Mediocre I make this distinction: dashboard health and business health are not the same thing.
ROAS Doesn’t Tell Us Everything
ROAS is not a bad metric. The problem is the meaning we load onto it. You spent 10 million lira on ads. 50 million lira in sales came in. ROAS is 5. At first glance, great.
But without asking a few questions we don’t know what it really means. How much of these sales would have come without the ads? How many customers are new? How many are existing? What is the contribution margin of these customers? What is the real cost of the discounts? What is the return rate? How likely is a new customer to buy a second time? What is the customer lifetime value? Did the sales increase the brand’s pricing power? Or did they train consumers to wait for campaigns?
ROAS alone cannot answer any of these. Because a metric only tells us what it was designed to measure. Not the whole truth.
Demand
Capturing Demand Is One Thing, Creating Demand Is Another
Performance marketing is outstanding at capturing existing demand. It finds the person searching for your product on Google. It identifies customers with a high likelihood to buy. It brings back customers who abandoned their carts. It does remarketing. It optimises conversion. All of this is valuable.
But there is another question: Who will make the person who isn’t searching for you yet want you? This is where the brand begins. Capturing demand and creating demand are not the same thing.
Great brands don’t grow only because they put more accurate ads in front of existing customers. At some point they enter culture. They create desire. They represent identity. They produce a new behaviour. They bring new customers into the category. Sometimes they redefine the category itself.
Performance marketing optimises demand. A brand can change why demand exists at all.
The Algorithm Is Not Trying to Grow Your Brand
The algorithm’s job is not to understand your company. It is to optimise the target you give it. Say “bring purchases” and it finds the people closest to buying. Say “raise ROAS” and it goes to the customers who look most efficient. Say “lower CPA” and it looks for cheaper conversion points.
From the system’s point of view this is entirely rational. But it is not always equally rational for the brand’s long-term growth. Because the algorithm doesn’t ask: Who will this brand’s customer be in five years? What does the brand represent in culture? Is a new community forming? Do we have a field of meaning different from competitors? Is our pricing power rising? Are we sparking curiosity in people who don’t know us at all?
If you haven’t given the algorithm these as targets, it doesn’t care about them. The machine does its job. Setting the strategy still belongs to humans.
What Is Easy to Measure Has Started to Eat What Matters
In corporate life it is very easy to say: “ROAS is 6.” Because it is clear. Numerical. Comparable. It fits in a presentation. It is harder to say: “The brand’s cultural impact is strengthening.” Because it doesn’t fit in a single cell.
So over time, things that are easy to measure gain more value in the management system. Clicks. Conversions. Traffic. Sales. Cost. Meanwhile, values that are harder to measure fall into the background. Desire. Trust. Prestige. Brand memory. Cultural resonance. Community. Belonging. Aesthetic power.
Yet a large part of what separates great brands from ordinary ones forms exactly here. What is hard to measure is not low in value. Sometimes our measurement system is simply inadequate.
Culture and Intuition
Data Tells the Past
One of the core principles of the Akdağ Doctrine is: culture comes before data. This is not anti-data. It is placing data on the right timeline.
Sales data shows behaviour that has already happened. CRM describes your existing customers. Search data shows today’s interest. Web analytics records movement that has already occurred. All of this is valuable. But tomorrow’s sales data doesn’t exist yet today.
Tomorrow’s customer first starts showing up elsewhere. On the street. In music. In the language of fashion. On TikTok. In new words. In new aesthetics. In new rituals. In new communities. In new rejections. Data turns these into numbers later. The job of cultural intelligence is to see the change before the numbers form.
Intuition or Data?
This too is a wrongly framed debate. One side says: “Whatever the data says, goes.” The other says: “I’ve been doing this for years, I can feel it.” Each is dangerous on its own.
That is why the Akdağ Doctrine doesn’t pit intuition against data. Intuition generates a hypothesis. Data tests it. The result strengthens or changes the intuition. The changed intuition generates a new hypothesis. The new hypothesis is tested again. As this loop continues, the manager’s decision quality rises.
Intuition here is not a mystical talent. It is a pattern-recognition capacity built up over years in the field. Data is not absolute truth either. It is a measurement of a certain part of reality. An organisation that can use both together is stronger.
A Good Marketer Looks at the Metric. A Great Marketer Also Looks at What the Metric Hides.
ROAS is rising. Good. What about the new-customer rate? CTR is rising. Good. What does this creative teach us about the brand? Conversion is rising. Good. Is the number of new people visiting the site rising too? Sales are up. Good. What about margin? The basket is growing. Good. Is the customer coming more often, or just paying a higher price? The campaign worked very well. Good. What happens when it ends?
Second questions take marketing from reporting to management.
Are We Really Growing?
The Purpose of Marketing Is Not to Produce Metrics
The purpose of marketing is to produce economic value. That is why marketing is not just advertising. It is not social media. It is not brand communication. It is certainly not performance marketing. Marketing must be able to manage the customer, product, price, channel, experience, brand, loyalty, sales and profitability within the same growth architecture.
The CMO’s desk should hold not only media results but commercial results. Is the new-customer base growing? Is LTV rising? Is CAC sustainable? Is retention improving? Is the organic sales share increasing? Is the brand searched for directly? Is pricing power rising? Is purchase frequency increasing? Is category penetration growing? And at the end of the day: Is the company turning into a stronger economic structure?
AI May Not Solve the Problem. It May Amplify It.
Artificial intelligence will dramatically increase marketing’s optimisation capacity. Thousands of creative variations will be tested. Customers will be split into micro-groups. Media budgets will be optimised in real time. Offers will be personalised. Forecasting models will get stronger. Reports will be ready in seconds.
But what happens if you give the wrong target to the best algorithm in the world? You do the wrong thing with extraordinary efficiency. That is the real risk of the coming period. AI will teach us how to optimise more. But the question humans must answer first will not change: What are we optimising? ROAS? Profit? LTV? Growth? Brand? New demand? Customer relationships? Because optimisation is not strategy.
What Does the Akdağ Doctrine Propose?
Not switching off the dashboard. Certainly not abandoning data. On the contrary: managing a broader reality. Use data as a compass. Not as a steering wheel.
Watch culture. Listen to the community. See new desire early. Run small experiments. Measure real behaviour. Evaluate LTV and CAC together. Put short-term performance and long-term brand value on the same table. Track organic growth. And optimise the business, not the metric.
Conclusion
In the coming years, the marketer won’t have a data problem. On the contrary, they will have a data surplus problem. More dashboards. More forecasts. More AI analysis. More optimisation. And probably more green boxes.
That is why a manager’s value will lie not in accessing data but in interpreting it. In understanding which number matters, which metric tells an incomplete story of reality, which development hasn’t yet shown up in the numbers, and which opportunity is beginning to form in culture before it appears on everyone’s screen.
So at the next marketing meeting, when the dashboard is entirely green, perhaps the first question we should ask is: “Good. But are we really growing?”
Because a successful dashboard and a successful company are not the same thing.
Related reading: Why Does a Company Lose Money While Revenue Grows? — a financial view through contribution margin, collections, stock and the cash conversion cycle.
My Recent Posts
(Gökhan Akdağ)
©2026
What Is Marketing Consulting? How to Build a Marketing Strategy, Plan, Budget and Management Discipline
Oct 9, 2026
Marketing
What Is Retail Consulting? Store Management, Sales Growth, KPIs, Profitability and Retail Math
Oct 9, 2026
Retail
What Is Commercial Growth Consulting? How to Manage Sales, Marketing, B2B, Export, Organisation and Profitable Growth
Oct 9, 2026
Strategy
FAQ
01
What does GA Consulting do?
02
What is your approach?
03
How do projects progress?
04
What is your focus?
05
Which areas do you work in?
06
What value does it create for companies?
07
Which companies is it right for?
08
How long until a project delivers results?
Sep 30, 2026
Can a Company Go Bankrupt While Breaking Sales Records?
The dilemmas of Kotlerian management marketing: why a brand can weaken while the dashboard is entirely green, the limits of ROAS, and using data as a compass rather than a steering wheel.
Strategy
Data
Brand
Data
A sales record is not a guarantee of healthy growth.®
Marketing’s New Problem Is Not a Lack of Data, but Believing Data Too Much
Picture a marketing meeting. There are dozens of charts on the screen. ROAS is up. CTR is above target. CPA is down. Conversion rate has increased. Remarketing works perfectly. Campaign targets were hit. The dashboard is almost entirely green.
Each number looks successful on its own. But at the end of the day, one question lingers: Is the company really growing?
Because the number of new customers may not be rising. Branded searches may be flat. Repeat purchases may be weakening. Organic traffic may be shrinking. Customers may only come during discount periods. Margin may be falling while sales rise. And more importantly, the brand may mean less and less in the consumer’s life.
This is where one of modern marketing’s most dangerous paradoxes begins: the brand may be dying while the dashboard is green.
We Began to Mistake What We Can Measure for Reality
One of the biggest revolutions digital marketing brought was measurability. It used to be hard to know exactly how many people a TV ad persuaded to buy.
Today we can measure almost every move. Who clicked? Who added to cart? Who bought? Which ad? Which creative? What time? Which device? Which audience? This is an extraordinary development.
But as with every great technological advance, the tool gradually became the goal. At first we used data to understand marketing. Then we started doing marketing to improve the data. The difference looks small. In fact it is enormous.
Goodhart’s Law
Dashboard health and business health are not the same thing.®
When a Metric Becomes a Target, Reality Gets Distorted
The essence of the principle named after economist Charles Goodhart is simple: when a measure becomes a target, it starts to lose its ability to be a good measure. We see examples of this in marketing every day.
If ROAS is the target, the system produces ROAS. But it doesn’t have to produce company growth. If CTR is the target, the creative team produces clickable ads. But it doesn’t have to produce a strong brand. If conversion is the target, the performance system chases the customers closest to purchase again and again. But it doesn’t have to create new demand. If CPA is the target, the algorithm cuts costs. But it doesn’t have to bring customers with high lifetime value.
In the end a company can have excellent metrics. But it can turn into a bad growth model. That is why in The Marketer of the Mediocre I make this distinction: dashboard health and business health are not the same thing.
ROAS Doesn’t Tell Us Everything
ROAS is not a bad metric. The problem is the meaning we load onto it. You spent 10 million lira on ads. 50 million lira in sales came in. ROAS is 5. At first glance, great.
But without asking a few questions we don’t know what it really means. How much of these sales would have come without the ads? How many customers are new? How many are existing? What is the contribution margin of these customers? What is the real cost of the discounts? What is the return rate? How likely is a new customer to buy a second time? What is the customer lifetime value? Did the sales increase the brand’s pricing power? Or did they train consumers to wait for campaigns?
ROAS alone cannot answer any of these. Because a metric only tells us what it was designed to measure. Not the whole truth.
Demand
Capturing Demand Is One Thing, Creating Demand Is Another
Performance marketing is outstanding at capturing existing demand. It finds the person searching for your product on Google. It identifies customers with a high likelihood to buy. It brings back customers who abandoned their carts. It does remarketing. It optimises conversion. All of this is valuable.
But there is another question: Who will make the person who isn’t searching for you yet want you? This is where the brand begins. Capturing demand and creating demand are not the same thing.
Great brands don’t grow only because they put more accurate ads in front of existing customers. At some point they enter culture. They create desire. They represent identity. They produce a new behaviour. They bring new customers into the category. Sometimes they redefine the category itself.
Performance marketing optimises demand. A brand can change why demand exists at all.
The Algorithm Is Not Trying to Grow Your Brand
The algorithm’s job is not to understand your company. It is to optimise the target you give it. Say “bring purchases” and it finds the people closest to buying. Say “raise ROAS” and it goes to the customers who look most efficient. Say “lower CPA” and it looks for cheaper conversion points.
From the system’s point of view this is entirely rational. But it is not always equally rational for the brand’s long-term growth. Because the algorithm doesn’t ask: Who will this brand’s customer be in five years? What does the brand represent in culture? Is a new community forming? Do we have a field of meaning different from competitors? Is our pricing power rising? Are we sparking curiosity in people who don’t know us at all?
If you haven’t given the algorithm these as targets, it doesn’t care about them. The machine does its job. Setting the strategy still belongs to humans.
What Is Easy to Measure Has Started to Eat What Matters
In corporate life it is very easy to say: “ROAS is 6.” Because it is clear. Numerical. Comparable. It fits in a presentation. It is harder to say: “The brand’s cultural impact is strengthening.” Because it doesn’t fit in a single cell.
So over time, things that are easy to measure gain more value in the management system. Clicks. Conversions. Traffic. Sales. Cost. Meanwhile, values that are harder to measure fall into the background. Desire. Trust. Prestige. Brand memory. Cultural resonance. Community. Belonging. Aesthetic power.
Yet a large part of what separates great brands from ordinary ones forms exactly here. What is hard to measure is not low in value. Sometimes our measurement system is simply inadequate.
Culture and Intuition
Data Tells the Past
One of the core principles of the Akdağ Doctrine is: culture comes before data. This is not anti-data. It is placing data on the right timeline.
Sales data shows behaviour that has already happened. CRM describes your existing customers. Search data shows today’s interest. Web analytics records movement that has already occurred. All of this is valuable. But tomorrow’s sales data doesn’t exist yet today.
Tomorrow’s customer first starts showing up elsewhere. On the street. In music. In the language of fashion. On TikTok. In new words. In new aesthetics. In new rituals. In new communities. In new rejections. Data turns these into numbers later. The job of cultural intelligence is to see the change before the numbers form.
Intuition or Data?
This too is a wrongly framed debate. One side says: “Whatever the data says, goes.” The other says: “I’ve been doing this for years, I can feel it.” Each is dangerous on its own.
That is why the Akdağ Doctrine doesn’t pit intuition against data. Intuition generates a hypothesis. Data tests it. The result strengthens or changes the intuition. The changed intuition generates a new hypothesis. The new hypothesis is tested again. As this loop continues, the manager’s decision quality rises.
Intuition here is not a mystical talent. It is a pattern-recognition capacity built up over years in the field. Data is not absolute truth either. It is a measurement of a certain part of reality. An organisation that can use both together is stronger.
A Good Marketer Looks at the Metric. A Great Marketer Also Looks at What the Metric Hides.
ROAS is rising. Good. What about the new-customer rate? CTR is rising. Good. What does this creative teach us about the brand? Conversion is rising. Good. Is the number of new people visiting the site rising too? Sales are up. Good. What about margin? The basket is growing. Good. Is the customer coming more often, or just paying a higher price? The campaign worked very well. Good. What happens when it ends?
Second questions take marketing from reporting to management.
Are We Really Growing?
The Purpose of Marketing Is Not to Produce Metrics
The purpose of marketing is to produce economic value. That is why marketing is not just advertising. It is not social media. It is not brand communication. It is certainly not performance marketing. Marketing must be able to manage the customer, product, price, channel, experience, brand, loyalty, sales and profitability within the same growth architecture.
The CMO’s desk should hold not only media results but commercial results. Is the new-customer base growing? Is LTV rising? Is CAC sustainable? Is retention improving? Is the organic sales share increasing? Is the brand searched for directly? Is pricing power rising? Is purchase frequency increasing? Is category penetration growing? And at the end of the day: Is the company turning into a stronger economic structure?
AI May Not Solve the Problem. It May Amplify It.
Artificial intelligence will dramatically increase marketing’s optimisation capacity. Thousands of creative variations will be tested. Customers will be split into micro-groups. Media budgets will be optimised in real time. Offers will be personalised. Forecasting models will get stronger. Reports will be ready in seconds.
But what happens if you give the wrong target to the best algorithm in the world? You do the wrong thing with extraordinary efficiency. That is the real risk of the coming period. AI will teach us how to optimise more. But the question humans must answer first will not change: What are we optimising? ROAS? Profit? LTV? Growth? Brand? New demand? Customer relationships? Because optimisation is not strategy.
What Does the Akdağ Doctrine Propose?
Not switching off the dashboard. Certainly not abandoning data. On the contrary: managing a broader reality. Use data as a compass. Not as a steering wheel.
Watch culture. Listen to the community. See new desire early. Run small experiments. Measure real behaviour. Evaluate LTV and CAC together. Put short-term performance and long-term brand value on the same table. Track organic growth. And optimise the business, not the metric.
Conclusion
In the coming years, the marketer won’t have a data problem. On the contrary, they will have a data surplus problem. More dashboards. More forecasts. More AI analysis. More optimisation. And probably more green boxes.
That is why a manager’s value will lie not in accessing data but in interpreting it. In understanding which number matters, which metric tells an incomplete story of reality, which development hasn’t yet shown up in the numbers, and which opportunity is beginning to form in culture before it appears on everyone’s screen.
So at the next marketing meeting, when the dashboard is entirely green, perhaps the first question we should ask is: “Good. But are we really growing?”
Because a successful dashboard and a successful company are not the same thing.
Related reading: Why Does a Company Lose Money While Revenue Grows? — a financial view through contribution margin, collections, stock and the cash conversion cycle.
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