Philip Kotler's Marketing 7.0: The Complete Guide in Portuguese

If you've searched for "Marketing 7.0" in recent months, you've likely found half a dozen texts saying the same thing: that marketing has evolved from 1.0 to 7.0 and that the focus is now on the consumer's mind. It’s not wrong. But it’s not very helpful either.

The problem is structural. The book was released in the United States in April 2026 and has not yet been published in several other languages. Much of what is circulating was written based on the publisher's press release, not the book itself. And it shows: there is content ranking on Google that translates the PDB framework as "Perception, Decision, and Benefit," when it is actually Positioning, Differentiation, Brand. There are texts describing Marketing 4.0 as the phase of physical-digital integration, which is actually 6.0. If you prefer to start with the general overview, go straight to the chapter-by-chapter book summary at the end of this article.

Therefore, this article has a specific goal: to be the definitive reference on what the book actually says. Correct frameworks, in the order they appear, with what they mean in the practice of those who operate.

And, at the end, something no summary does — what the book doesn't solve.

💡 Book Profile

Marketing 7.0: A Guide for Thinking Marketers in the Age of AI

Philip Kotler, Hermawan Kartajaya, and Iwan Setiawan

Wiley, April 2026 — 10 chapters, 3 parts, and an appendix

No international editions in several languages as of this publication

The X.0 Series: Where 7.0 Fits In

The book's starting point is that each version does not replace the previous one — it adds to it. 7.0 is integration, not rupture.

The thesis: cognitive science is not new, but it was never applicable at scale. The infrastructure was missing. Social provided the data, AI provided the prediction, immersion provided the environment. Now it's possible.

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Part 1 — The path to the human mind

The three gateways

The book opens with the idea that there are three entry points to the mind, each inherited from a previous book in the series.

Social gateway. No one evaluates a brand in isolation. Reviews, testimonials, influencers, and user-generated content function as social proof. The authors anchor this in the social brain and mirror neurons — when you see someone using a product, your brain simulates the experience.

Personal gateway. A message only receives deep processing when it feels relevant. The salience network acts as a gatekeeper between fast, emotional thinking and slow, rational thinking. This is where AI comes in: predicting relevance to break through the filter.

Experiential gateway. Influence only lasts when it becomes a memory. Experiences with emotional weight, multisensory elements, and those that balance familiarity with novelty are more likely to stick.

The threats of general AI

The second chapter is the most uncomfortable in the book, and it is where it moves away from commonplaces.

The authors divide the evolution of AI into four stages: rule-based AI (if this, then that), predictive AI (churn, propensity, next best offer), generative AI (text, image, conversation), and agentic AI (pursues goals and executes with little supervision).

In parallel, they describe four roles that humans have occupied in this relationship: human computers, programmers, AI trainers, and now, orchestrators. The professional stops controlling task by task and starts defining objectives, parameters, and supervision mechanisms.

And for every capability the machine gains, they point to a corresponding risk:

• Machines that think can atrophy the professional's critical judgment.
• Machines that communicate can standardize the voice of all brands.
• Machines that perceive can replace human observation without understanding context.
• Machines that execute can turn marketing into a black box.
• Machines that imagine can confuse creative vision with hallucination.
• Connected machines can make the human peripheral in their own operation.

The phrase that summarizes the chapter: the threat is not AI executing marketing. It is the professional ceasing to understand the system that has started executing marketing for them.

The performance trap

The third chapter is the one that should most bother those who work with paid media.

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Performance marketing has legitimate advantages — measurement, real-time optimization, attribution, scale. The problem arises when the entire strategy becomes dependent on paid media, discounts, scarcity, and urgency. The result is well-known: CAC rising month after month, dependency on third-party platforms, advertising fatigue, customers conditioned to promotions, compressed margins, and a weakened brand.

And then comes the sharpest argument of the book: AI is commoditizing marketing. The cycle is simple. AI identifies the format that performed well. Brands reproduce that format. The internet fills with variations of the same thing. Models begin to learn from content produced by other models. Differentiation disappears.

The proposed solution is not to split the budget between branding and performance. It is to integrate: brandformance. A campaign must, simultaneously, generate measurable action, reinforce positioning, communicate personality, create memory, and deepen the relationship.

And there is a fine distinction regarding creativity worth retaining: AI works through convergent thinking — it quickly finds the optimized answer within existing patterns. Human creativity works through divergent thinking, with episodic memory, emotion, and association between disconnected fields. The authors' synthesis: data informs, human creativity explores, AI accelerates execution.

The Augmented Human

The fourth chapter describes the 7.0 customer. It is not the customer who uses technology — it is the customer who has incorporated technology almost invisibly.

They outsource cognition (memory, calendar, research, part of reasoning), manage emotions through content, socialize in a digital-first format, consume under algorithmic influence, and expect total continuity between store, app, QR Code, service, payment, and post-sales.

This creates three challenges:

Aggressive filtering. The brain has learned to recognize advertising patterns and discard them automatically — the old banner blindness, now generalized. The suggested response is lo-fi content: spontaneous, imperfect, native to the platform. It works because it is different from an ad, yet familiar to the environment. The ideal stimulus needs to be new enough to break the pattern, familiar enough not to seem like an invasion, and simple enough to be processed quickly.

Social fragmentation. Algorithms have divided the market into micro-tribes. Influence is migrating from the celebrity to the micro and nano-influencer integrated into the community because they activate identification, belonging, and proximity.

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Selective frugality. The saturation of micro-trends has become exhausting. Consumers are cutting back on categories that have become commoditized and are concentrating their resources where there is emotional return. The authors link this to the "lipstick effect" — even in times of uncertainty, people preserve small indulgences that provide pleasure, identity, or a sense of control.

The conclusion is counterintuitive for those who live off volume: the augmented consumer doesn't want more stimulus. They want fewer options, more clarity, and more meaning.

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Part 2 — The keys to accessing the mind

The Cognitive Compass

This is the central model of the book, and it has two components.

1. The Cognitive Map — three functional systems:

• Attention Brain — decides what deserves attention and what is discarded.
• Social Brain — evaluates connection, identity, authenticity, trust, and belonging.
• Reward Brain — calculates whether the reward justifies the effort, risk, and cost.

The three operate simultaneously, but the book organizes them as a practical sequence: capture attention → create connection → motivate decision.

And for each system, a pair of questions worth taping to the wall:

• What attracts and what feels invasive?
• What sounds authentic and what sounds artificial?
• What makes the offer valuable and what makes it look like manipulation?

2. The Stimuli Quadrants — cognitive insights turn into four applications: brand storytelling, value proposition, selling approach, and customer experience. Distributed across two axes: rational versus emotional, beginning versus end of the journey. Storytelling and experience pull toward the emotional; value proposition and sales toward the rational.

Cognitive Mapping: The Iceberg

Chapter 6 is, in my reading, the best in the book — because it refuses to leave cognition in the abstract.

The argument: data shows what people did. Cognitive mapping seeks to understand why — even when they themselves cannot explain it.

On the surface of the iceberg are statements, survey responses, clicks, and purchases. Below are attitudes, values, tensions, fears, aspirations, patterns formed in childhood, and the contradictions between desired identity and actual behavior. The authors use the concept of imprinting to explain how experiences from formative years shape consumption decisions decades later.

And they point out what research and AI usually fail to capture: needs that haven't generated data yet, emerging behavior, contradiction, non-verbal cues, emotional context, and the user treated as an outlier.

Hence the recommendation to return to empathetic observation, ethnography, and netnography. Combining whom to observe: common users, heavy users, early adopters, those who resist or cannot use the product, those who use it alone, and those who use it in groups.

And, within what to observe, there is one item worth the price of the book: the workaround. When the customer improvises a "gambiarra" (jury-rig) to bypass a limitation, they are simultaneously revealing an unmet need and proving a willingness to act. It is a screaming value gap.

Part 3 — The four stimuli

Brand storytelling: three paths

Attention–decision. Capture attention, tell the story quickly, stimulate action. Used for short content, social, retail, live commerce, impulse. Variations: AIDA, Hook–Story–Offer.

Conflict–resolution. Establish the scene, reveal the conflict, deliver the resolution. For long narratives, positioning, and purpose. The customer is the character; the brand is the guide. Variations: three acts, Freytag’s Pyramid, StoryBrand7.

Pain–gain. Highlight the pain, make the gain visualizable, present the solution and proof. The most rational of the three, for high-involvement decisions — technology, health, education, finance, B2B. Variations: Before–After–Bridge, Problem–Agitate–Solution.

The three do not compete. The choice depends on the complexity of the decision, the time available, and which cognitive system needs to be prioritized.

Value proposition: the mental math

The book's formula is a division:

💡 Perceived Value = everything the customer receives ÷ everything they must give

The Get side includes functional, emotional, social, and identity benefits, as well as performance and durability. Functional benefits can be copied. Emotional benefits and meaning cannot.

The Give side goes far beyond price: time, effort, risk, difficulty of implementation, cost of switching, fear of data loss, uncertainty, maintenance, and friction in the journey.

And three mental trade-offs govern the comparison: the offer against a reference that serves as an anchor; functional benefit against emotional (using heuristics of affect, social proof, scarcity, halo, and framing); and total received against total sacrificed (using price–quality heuristics, loss aversion, endowment effect, and mental accounting).

In B2B, the DMU (Decision Making Unit) comes into play — gatekeeper, user, influencer, buyer, and decider. Each looks at a different dimension: the user looks at benefit, procurement looks at cost and risk, the decider looks at strategic impact. But even B2B uses shortcuts: reputation, market leadership, familiarity, and relationship.

The final guidance is counterintuitive for those creating commercial proposals: avoid complexity. Excess information stalls processing.

Sales approach: DEEP and SELL

Today's buyer arrives at the commercial conversation after researching, comparing, and reading reviews. The salesperson has lost the monopoly on information. What remains for them is something more difficult: interpretation, contextualization, risk reduction, and human accountability.

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The book organizes evolution into three stages. Selling 1.0, transactional — cold lists, standardized pitches, pressure. Selling 2.0, consultative — understanding before presenting, in the vein of SPIN Selling. Selling 3.0, augmented selling — consultative selling combined with IA preparation and behavioral intelligence, with the human focused on trust.

The DEEP model describes the buyer's journey:

• Define — recognizes and delimits the problem
• Explore — researches solutions and suppliers
• Evaluate — compares alternatives, price, proof, risk, and fit
• Purchase — approves, negotiates, and implements

And the SELL technique describes what the salesperson does in response:

• Signal credibility — demonstrate social proof, authority, and understanding of the context. The authors highlight that the perception of intent and warmth usually comes before the evaluation of competence.
• Elevate the pitch — connect functionality to concrete objectives, creating contrast between the current and future situation.
• Lessen doubt — anticipate objections, offer trials, and show the cost of doing nothing.
• Lead to action — clear next step, low cognitive load, legitimate urgency, small commitments.

The synthesis: selling is not about pressuring. It is about removing the uncertainties that prevent the decision.

Customer Experience

The value progression: commodity → product → service → experience → transformation. The distinction the authors make is sharp — a service saves time; an experience makes the time seem well spent.

Six touchpoints structure the design: discovery, hospitality, transaction, onboarding, support, and engagement. The company doesn't need to invest equally in all of them — it needs to identify where the greatest emotional potential lies.

And nine design principles, in three groups:

WOW Moments: breaking the category script without breaking the flow; turning exceptions and failures into opportunities; giving autonomy to the front line.

Multisensory: designing for immersion; ensuring harmony between stimuli (more senses doesn't mean better); creating sensory anchors capable of reactivating memory.

Shareable: generating personal resonance; allowing for social recognition; reducing the effort to record and share.

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The appendix: reorganized fundamentals

The appendix shows that 7.0 does not discard classic marketing — it reorganizes it based on cognition.

5D — the five drivers of change: technology, political-legal environment, economy, socio-cultural factors, and market dynamics.

4C — strategic analysis: Change, Competitor, Customer, Company. The model is prospective: it’s not just about responding to the current market, it’s about identifying early signals.

PDB — the triangle of Positioning, Differentiation, Brand.

⚠️ Watch out for incorrect translations

There are versions circulating in Portuguese suggesting PDB stands for "Percepção, Decisão e Benefício" (Perception, Decision, and Benefit). That is incorrect. PDB stands for Positioning, Differentiation, Brand. The logic: positioning without differentiation becomes an empty promise; differentiation without positioning becomes a feature without strategic meaning.

9E — nine elements across three systems: customer management (segmentation, targeting, positioning), product management (differentiation, marketing mix, selling), and brand management (brand, service, process).

Where the book gets it right

The diagnosis of commoditization via AI is the work's greatest strength. This isn't technophobia — it’s a precise description of what is already happening in anyone's social feed. When everyone uses the same model, with the same data and the same metrics, everyone produces the same thing.

The workaround chapter is applicable on Monday morning. It is the only part of the book that gives you an observable, concrete behavior that any operation can start tracking today.

Honesty about the human role. The book doesn't sell the fantasy that AI "solves" marketing. It states that the more AI automates, the more strategic it becomes to understand what AI still cannot interpret: context, contradiction, subjectivity, trust, culture, and meaning.

What the book doesn't solve

This is where I disagree — or, more precisely, where I think it stops too soon.

1. It describes the mind, not the operation. The book accurately explains how the brain filters, trusts, and decides. But when it reaches the question "and how does my company do this every day, at scale, with the team I have?", the answer remains at the level of principle. It is a book of foundations, not implementation.

2. It bets on the immersive as the access route — and I think that’s the wrong path. Augmented reality and multisensory experiences are expensive, niche, and depend on the customer coming to you. Meanwhile, there is a channel that is already in everyone's pocket, without installing anything, and that produces exactly the submerged material of the iceberg that Chapter 6 calls for: conversation. The book treats conversation as one touchpoint among others. In my reading, it is the infrastructure.

3. Memory is treated only from one side. The book speaks at length about fixing the brand in the customer's memory. It says very little about the inverse, which is the real problem for most operations: the company forgetting the customer between one interaction and the next. There is no point in designing a sensory anchor if, by the third conversation, the customer needs to reintroduce themselves from scratch.

Use case. Think about the daily life of someone talking to a company via WhatsApp. With every new conversation, the first thing this person needs to do is identify themselves again: name, ID number, order number, what was previously agreed. This is exactly what the book does not address.

Now reverse the point of view and look at the company. Inside the ERP or CRM, everything already exists: registration, customer code, service history, contracted products and services, invoices, support tickets. There is even a record of how this customer arrived — via media, referral, or organically — and every step of the buying journey until they became a customer. The information is there. It simply does not reach the conversation.

The book dedicates an entire chapter to building brand memory in the customer's mind. The real problem for most operations is the opposite: the company does not remember the customer. And it is the customer who pays this bill, repeating their own history precisely at the moment when they just wanted to solve something quickly. No sensory anchor survives that.

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Is it worth reading?

It is, if you: define strategy, lead a marketing team, work with a brand in a commoditized category, or are uncomfortable with your operation's dependence on paid media.

Maybe not, if you: are looking for execution tactics, channel playbooks, or step-by-step guides. The book is top-down — it fixes the mindset, not the schedule.

And a practical tip: since there is no Portuguese edition yet, you will need to read it in English. The reading is accessible, but the frameworks are all in English, and it is worth keeping the original names even in internal discussions — the translations circulating out there, as you saw above, are confusing more than helping.

The destination is correct. The path is missing.

I closed the book with the same feeling after three readings: Kotler hit the mark.

The mind is indeed the battlefield. Attention, trust, and memory are indeed the three assets that decide who sells and who doesn't in the coming years. And the diagnosis of AI commoditizing everything is the most lucid I have read on the subject.

But the book describes the customer's mind without describing the company's system. And that is where the conversation comes in — not as a channel, but as the layer where context is captured, trust is built, and the decision happens. This is what I have been structuring for almost ten years in MCI, Marketing Conversacional Integrado.

And when I put the two models side by side, I found things I didn't expect — including a framework from chapter 9 that is practically identical to a model we were already operating before the book existed.

Recommended next reading. → Read the second part: what Marketing 7.0 confirms about MCI — the concept-by-concept map, from the 8Cs to the Dynamic Buying Journey, with the operational artifact of each item.

Book Summary: Chapter by Chapter

To conclude, a navigable overview of the three parts and ten chapters. Use the panel below to navigate the book chapter by chapter — each screen brings the central thesis, models, and practical application points.