por Ber | Abr 3, 2026 | Uncategorized
You have tested the green button against the blue button. You have tested “Buy Now” against “Get Started” against “Claim Your Spot.” You have tested hero images, subject lines, headline fonts, CTA placement, and whether the word “free” in an email subject line increases or decreases open rates (the answer changes every six months, depending on who you ask). You have optimized every pixel of the customer journey. You have never once questioned whether the destination is worth reaching.
Welcome to the golden age of A/B testing, where we measure everything and understand nothing, where data replaces judgment, and where the appearance of scientific rigor substitutes for actual strategic thinking. It’s a beautiful system, really — endlessly productive, perpetually inconclusive, and completely immune to the uncomfortable question of whether you’re optimizing the right thing at all.
How Testing Became a Religion
The democratization of A/B testing tools was supposed to bring empiricism to marketing. And for a while, it did. Instead of arguing about opinions in a conference room, teams could run experiments. Instead of HiPPO decisions (Highest Paid Person’s Opinion), data would rule. The shift was genuine and valuable. Then, like most genuinely useful things, it was taken approximately forty steps too far.
The problem began when testing stopped being a tool and became an identity. “We’re a data-driven culture” is now the marketing equivalent of “we move fast and break things” — a slogan that sounds rigorous and signals virtue without committing to anything specific. In practice, data-driven culture often means: we run tests on things that are easy to test, measure things that are easy to measure, and declare victory when a metric goes up, even if nobody can explain why or whether it matters.
The result is teams that have run 200 experiments on their homepage and cannot tell you what their brand stands for. Teams that can produce a confidence interval for a subject line variant but have no idea why customers churn after 90 days. Teams that treat statistical significance as a moral category — as if a p-value of 0.04 is not just a number but a verdict from the universe that green buttons are objectively better than blue ones.
The Local Maximum Trap
Here is what nobody puts in the A/B testing case study: optimization without strategic direction leads you, very efficiently, somewhere you don’t want to be. Every incremental test improves what exists. None of them ask whether what exists should continue to exist.
This is the local maximum problem. You can optimize a mediocre product page to be the best possible version of a mediocre product page. Your conversion rate will climb 0.3% per experiment until it can climb no further. You will have squeezed every drop from a lemon that, strategically speaking, you should have replaced with a different fruit two years ago. But the dashboard looks great. The quarterly report is full of winning experiments. Everyone involved gets a mention in the retrospective under “wins.”
The deeper issue is that A/B testing is structurally incapable of questioning its own premises. You can test two versions of a landing page. You cannot test whether the landing page is the right mechanism for what you’re trying to achieve. You can test two subject lines. You cannot test whether email is the right channel. Those questions require judgment, context, and the willingness to consider that your current approach might be fundamentally wrong — qualities that do not produce clean dashboards and cannot be automated.
Data as Alibi
There is a more cynical function that testing serves in large organizations, and it’s worth naming honestly: it provides cover. When a decision goes wrong, “we had the data” is the modern version of “I was just following orders.” It distributes responsibility so thoroughly that nobody is accountable for anything. The test said to do it. The algorithm recommended it. The confidence interval supported it. Who could argue with that?
This is why genuinely bold creative decisions almost never come out of A/B testing. Testing can tell you which version of an existing concept performs marginally better. It cannot tell you to do something completely different. It cannot tell you to run the campaign that makes your legal team nervous and your competitors jealous. It cannot tell you to make the thing that nobody has made before because, by definition, you can’t test something against itself before it exists.
The great brand-building moments in marketing history were not A/B tested into existence. They were made by people with strong points of view who were willing to be wrong in an interesting way rather than right in a boring one. Testing would have optimized those ideas into something safe and forgettable.
What Good Testing Actually Looks Like
None of this means testing is bad. It means testing is a tool, not a philosophy. Used well, it answers tactical questions quickly and cheaply: which headline communicates the value proposition more clearly? Which onboarding flow reduces drop-off? These are real questions with measurable answers, and testing is exactly the right instrument for them.
The problems start when testing substitutes for strategy, when the question “what should we be doing?” is replaced by “which version of what we’re already doing performs better?” The first question is hard, uncomfortable, and requires people in a room with different opinions and no easy answers. The second question produces a dashboard. Guess which one gets more organizational energy.
If you’re the kind of marketer who has sat in the meeting where someone says “let’s test it” as a way of avoiding a decision, you know exactly what this piece is about. And if you want a daily reminder that your job is more than optimizing button colors, the NoBriefs shop has what you need — starting with the Fuck The Brief collection, for when the brief itself is the thing that’s failing the test.
por Ber | Abr 3, 2026 | Uncategorized
Somewhere in your company’s shared drive, nestled between the Q3 performance report nobody opened and the brand guidelines nobody follows, lives Jennifer. Jennifer is 34. She’s a mid-level marketing manager. She drives a hybrid car, loves yoga on weekends, and is “digitally savvy but values authenticity.” She has two kids named something tasteful like Mia and Lucas. She earns €52,000 a year and her biggest pain point is “finding time for herself.” She is your target audience. She does not exist.
The marketing persona is one of the most elaborate fictions the industry has ever produced — a literary character with the depth of a fortune cookie and the strategic value of a horoscope. Yet companies spend thousands of euros on workshops, consultants, and wall-sized sticky-note sessions to give birth to Jennifer, only to promptly file her away and never consult her again.
How Personas Are Born (and Die on the Same Day)
The persona creation workshop follows a sacred ritual. A facilitator — who charges €1,200 a day and owns at least one pair of quirky glasses — leads a cross-functional team through a series of exercises. What does our customer fear? What does she aspire to? What does she read? The team, composed entirely of people who are not the customer, makes educated guesses. Someone writes “LinkedIn and maybe TikTok?” Someone else says “she probably shops at Zara but wishes she could afford COS.” Everyone nods. Jennifer is born.
By the end of the workshop, Jennifer has a photo (stock, obviously — a smiling woman of ambiguous ethnicity chosen for maximum inclusivity with minimum effort), a name, and an origin story more detailed than most employee onboarding documents. She has a “jobs to be done,” a “day in the life,” and a quote that nobody actually said but feels like she would say, probably something like: “I want brands that understand me.”
Jennifer is then placed in a beautiful PDF, sent to the design team with the instruction to “keep her in mind,” and never spoken of again. The actual campaign is made for the CEO’s cousin, who saw a competitor’s ad and said they wanted something “similar but more premium.”
The Data Problem Nobody Mentions
Here is the uncomfortable truth about most marketing personas: they are not based on data. They are based on vibes, assumptions, and whatever the Head of Sales said loudly in the last meeting. Real customer research — interviews, behavioral data, purchase pattern analysis — is expensive, time-consuming, and inconveniently messy. Personas, by contrast, can be invented in an afternoon and presented with the visual confidence of a TED Talk.
The result is a character who is simultaneously too specific and completely useless. Jennifer is 34, but what about the 28-year-old who actually converts? Jennifer is worried about sustainability, but what if your actual buyer is a 55-year-old procurement manager who just wants the invoice on time? The persona, instead of clarifying the audience, creates a fictional target that the team aims at while the real customers wander in through the side door.
There is a particular cruelty in this process: the more detailed the persona, the more convincing it feels, and the more dangerous it becomes. A one-pager with a stock photo and a salary band has the aesthetic authority of market research. Nobody questions Jennifer. Questioning Jennifer means questioning the workshop, and the workshop cost €4,000.
The Persona Industrial Complex
The persona business is thriving. There are tools, templates, platforms, and entire methodologies dedicated to helping you build better fictional humans. Some of these tools use AI to generate personas from your CRM data, which is genuinely useful, though it does raise the philosophical question of whether Jennifer generated by an algorithm is any less made-up than Jennifer generated by a roomful of people eating catered sandwiches.
The larger problem is structural. The persona is a tool designed for a world where marketing teams need to humanize abstracted data — to give a face to a segment. The intent is noble. The execution is a game of telephone between your actual customers and a stock photo woman who enjoys weekend yoga. Somewhere between the insight and the output, Jennifer stopped being a tool and became a totem.
What would actually help? Talking to real customers. Reading real complaints. Watching real behavior. Conducting interviews where the person on the other side says unexpected things that ruin your assumptions. It’s less photogenic than a persona card, and it won’t look good framed on the office wall, but it has the rare quality of being true.
Jennifer Sends Her Regards
Jennifer doesn’t mind that you’ve forgotten her. She’s used to it. She lives in the slide deck between the market sizing chart and the competitive landscape table, eternally 34, eternally concerned about work-life balance, eternally waiting for a brand that finally gets her.
Meanwhile, your actual customers are out there — complicated, inconsistent, price-sensitive in ways Jennifer isn’t, loyal to brands Jennifer has never heard of. They don’t have a name or a stock photo. They haven’t been workshopped. They’re a mess. They’re the whole point.
If the absurdity of marketing theater is something you feel in your bones every day, you’re in the right place. The NoBriefs shop was built for people who have sat through one too many persona workshops and lived to tell the tale. The KPI Shark knows that the most dangerous metric is the one that makes everyone feel productive without doing anything useful. Come join the club.
por Ber | Abr 2, 2026 | Uncategorized
In the beginning, there was the big idea. The campaign that changed how people felt about a brand. The work that lived in culture for years, that people remembered decades later, that made careers and moved markets in ways that couldn’t be cleanly attributed to any single impression or click. The industry was built on the belief that great creative work was worth making even when you couldn’t fully explain why it worked — that the brand-building effect of advertising was real, even if it was diffuse, delayed, and difficult to measure in a quarterly report.
Then came performance marketing, and the big idea got a conversion rate.
The logic was impeccable: digital advertising allowed you to measure what was working with a precision that had never existed before. You could see exactly how many people clicked, converted, bought, and returned. You could A/B test everything. You could allocate budget to what performed and cut what didn’t. The result, in theory, was a more efficient, more accountable, more rational marketing function. The result, in practice, was something more complicated and considerably more damaging to the craft of advertising than the industry has been willing to fully acknowledge.
What Gets Measured Gets Made (And Everything Else Doesn’t)
The practical effect of optimizing marketing spend around measurable performance metrics is that you create a systematic bias against anything whose value is real but diffuse — brand awareness, emotional resonance, cultural relevance, the slow accumulation of positive associations that determines whether a brand is trusted, liked, and chosen over time. These things are hard to measure in a dashboard. Therefore, they are systematically underfunded in organizations where the dashboard is the decision-making tool.
This produces a specific kind of marketing that is technically excellent and strategically hollow: campaigns that drive clicks without building brand equity, content that converts without creating preference, advertising that performs in the short term by accelerating existing intent without doing anything to create future intent. You can run this playbook for several years and look extremely good in the monthly report while quietly dismantling the brand foundations that made the performance possible in the first place.
The grocery industry has a term for this: “eating the seed corn.” You can solve this year’s food problem by consuming next year’s seeds. The harvest numbers look fine right up until there’s no harvest.
The Creative That Performance Marketing Produces
Ask a performance marketing team to brief creative work and watch what happens to the brief. The audience becomes “people who have previously expressed purchase intent in this category.” The message becomes the offer, the discount, the feature comparison. The format becomes whatever the platform has determined converts best this quarter. The success metric becomes cost per acquisition.
None of this is wrong. All of it, applied exclusively, produces advertising that is indistinguishable from every other piece of advertising in the same category — because it’s optimized against the same data, serving the same audience, making the same offer, in the same formats that the algorithm has decided perform best. The result is creative convergence at scale: entire categories of advertising that look and sound identical because they’ve all been optimized toward the same conversion signals.
The creative professionals working in pure performance environments often describe the experience the same way: the work is technically demanding, the feedback loop is fast and clear, and the creative latitude is approximately zero. You are not making advertising; you are making variables for a test. This is a legitimate discipline. It is not what most people went into advertising to do, and the talent pipeline consequences of making it the dominant mode of the industry are becoming visible in the quality of work being produced.
The Evidence That Brand Building Actually Works
The research on this is not ambiguous. The Binet and Field “The Long and the Short of It” analysis of IPA effectiveness data established clearly that the optimal marketing investment split for most categories is approximately 60% brand-building activity and 40% performance/activation activity — with the brand-building investment providing the context and preference that makes the performance activity more efficient.
The brands that have maintained this balance — that have continued to invest in genuinely creative, genuinely brand-building work even when the short-term attribution is murky — have consistently outperformed brands that shifted entirely to performance marketing, particularly over time horizons longer than one quarter. This finding has been replicated across categories, markets, and time periods. It is as close to settled science as marketing research gets.
The industry knows this. The reversion to performance-only thinking happens anyway, because quarterly performance pressure, short CMO tenures, and the genuine difficulty of defending brand investment in a meeting full of people who prefer dashboards with green arrows make the rational long-term choice organizationally difficult to sustain. Knowing the right thing and doing it are different problems.
The creatives who have spent their careers making brand-building work — work that doesn’t convert immediately, that operates on emotion rather than offer, that tries to make people feel something rather than click something — deserve recognition for doing the harder, more important job. The Fuck The Brief collection is for everyone who’s been told their work “can’t be attributed” and knows that’s the whole point.
Good work takes time to prove itself. In the meantime, the NoBriefs Club shop has your back.
por Ber | Abr 2, 2026 | Uncategorized
There is a special category of corporate decision that manages to simultaneously destroy shareholder value, alienate customers, and humiliate the creative team that was ordered to execute it — all in the service of solving a problem that nobody outside the C-suite believed existed in the first place. The failed rebrand is this phenomenon at its most spectacular, and the business world’s tolerance for it is one of the more reliable mysteries of organizational behavior.
Every few years, a brand with meaningful heritage, genuine customer loyalty, and a visual identity that took decades to build announces it is “evolving” or “modernizing” or “better reflecting our values as a company.” The new identity arrives. The internet reacts immediately and unfavorably. The company issues a statement about how “change can be uncomfortable.” Eighteen months later, they quietly revert, or hire another agency to fix it, or pretend the whole thing never happened.
Why Rebrands Fail: A Clinical Analysis
The proximate causes of failed rebrands are well-documented: the new identity is too generic, or too different, or solves an internal organizational problem rather than an external market problem, or was approved by people who cared about what the brand should mean rather than what it currently means to the people who use it.
But the underlying cause is almost always the same: the decision to rebrand was made for reasons that had more to do with internal organizational dynamics than with anything a customer would recognize as a legitimate need. The new CEO wants to put their stamp on the company. The incumbent agency relationship has run its course and the incoming agency needs a project. The board has decided the brand “doesn’t feel premium enough” based on no research whatsoever. The marketing team needs a rebrand project to justify a budget cycle.
None of these are reasons to rebrand. They are reasons that get dressed up as reasons to rebrand, which is a different thing entirely. A genuine need to rebrand exists when the current identity actively misrepresents the business, when it’s creating measurable friction with target audiences, or when a significant business transformation — a merger, a pivot, a fundamental change in what the company does — requires a new visual and verbal identity to accurately reflect the new reality. These situations exist. They are much rarer than the rate of rebranding suggests.
The Classics of the Genre
The catalog of notable failures is rich with instructive examples. Gap’s 2010 logo change lasted six days before the company reverted to its original design under pressure from public reaction — a rebrand that became famous not for what it replaced but for how quickly it was replaced back. The estimated cost of the project: reportedly over a million dollars for six days of existence.
RadioShack’s multiple attempts to rebrand as “The Shack” demonstrated the particular futility of trying to solve a fundamental business model problem with a name change. The brand wasn’t struggling because of its name; it was struggling because the product category it had defined was being commoditized and disrupted. Renaming it didn’t address this. Nothing about the rebrands did.
Tropicana’s 2009 packaging redesign — which replaced a recognizable image of an orange with a generic glass of orange juice — resulted in a 20% sales decline in the month following launch, before the company reverted to the original. The redesign removed all the visual cues that allowed customers to identify the product at shelf, in the name of a more “sophisticated” aesthetic. The customers were not asking for sophistication. They were asking for their orange juice.
The Equity Problem Nobody Talks About Loudly Enough
Brand equity is the accumulated meaning that an identity has acquired over years of consistent use — the associations, memories, and recognition shortcuts that live in audiences’ minds and make the brand worth something beyond its functional attributes. This equity is not primarily visual, but it is often anchored visually: a color, a shape, a typeface, a character that has become inseparable from what the brand means to the people who use it.
When a rebrand eliminates these visual anchors in the name of modernization, it is not refreshing the brand — it is drawing down on equity without replacing it. The new identity starts from zero recognition. It has no accumulated meaning. It has to rebuild everything the old identity had, in a media environment that is noisier and more expensive than it was when the original equity was built. This is not a good trade, and it is significantly harder to calculate in advance than it looks, which is why so many people keep making it.
The brands that rebrand successfully are the ones that understand the difference between evolving an identity — updating it while preserving the equity-bearing elements — and replacing an identity, which discards the equity in exchange for novelty. The former is design craft. The latter is often organizational politics dressed up as brand strategy.
For the creatives who were asked to execute these rebrands and knew, from the first briefing, that it wasn’t going to work — the Fuck The Brief collection at NoBriefs exists. Sometimes the brief is wrong. Sometimes you have to do it anyway. Sometimes you need a garment that acknowledges both of those facts simultaneously.
Visit the NoBriefs shop — for creatives who’ve seen what happens when nobody listens to the creative team.
por Ber | Abr 2, 2026 | Uncategorized
Somewhere between the fourth scroll of the morning — before you’ve gotten out of bed, before you’ve spoken to another human being, before you’ve had a thought that wasn’t curated by an algorithm — you pass a piece of content that someone spent three weeks making. You spend 1.7 seconds on it. Your thumb keeps moving. The creator, wherever they are, will never know you were there.
This is the attention economy in practice: a system in which the supply of content grows exponentially while the supply of human attention remains biologically fixed, creating a market dynamic in which attention itself becomes the primary commodity being traded. Every platform, every publisher, every brand, every creator is competing for the same finite resource — the conscious focus of a human mind — with an arsenal of tools optimized to capture it, retain it, and monetize it before someone else does.
Understanding this isn’t optional anymore for anyone who makes things professionally. The economics of attention shape what gets made, how it gets made, what succeeds and fails, and what the act of creating for an audience actually means in an environment where that audience is simultaneously the most valuable thing you can have and the most difficult thing to hold.
The Compression Has Already Gone Too Far
The pressure to compress creative work into attention-capturing formats has produced a set of conventions so universal they barely register as choices anymore: the hook in the first three seconds, the key point front-loaded before the scroll, the visual hierarchy designed for a five-inch screen at 1.5x speed, the copy edited to remove every word that doesn’t earn its place in a seven-second read.
Some of this is legitimate craft. Clarity, economy, and respect for the audience’s time are genuine virtues in any communication. The problem is when the compression becomes the creative strategy rather than a craft constraint — when the goal shifts from making something valuable to making something that captures attention, as if attention itself were the outcome rather than the prerequisite for the outcome.
You can see the result in the homogenization of content across platforms: the same hook structures, the same visual formats, the same pacing rhythms replicated across millions of pieces of content because they’ve been algorithmically validated as attention-capturing. The content is optimized for the front three seconds and often has nothing particular to say after that. It captured your attention. It just didn’t deserve it.
What Deep Attention Actually Does for a Brand
Here is the counterintuitive data point that the attention economy tends to obscure: the most valuable creative work doesn’t just capture attention — it sustains it, transforms it into something, and leaves a residue in the mind of the person who experienced it. The three-second capture and the thirty-minute engagement are not the same thing in terms of what they build for a brand, a creator, or an idea.
Long-form content, when it’s genuinely good, creates a qualitatively different relationship with an audience than short-form content optimized for capture. Newsletter subscribers who read to the end are worth more than social media followers who scroll past. Listeners who finish a podcast episode form a different kind of relationship with the voice they heard than viewers who watched a 15-second clip. The depth of engagement matters — and is systematically undervalued by metrics built to count impressions rather than measure what impressions actually do.
Brands that are building durable relationships with audiences are the ones investing in formats that require more from both the creator and the audience: longer writing, more developed thinking, creative work that takes time to unfold. Not because long automatically means better, but because the willingness to demand sustained attention from an audience is itself a signal — it says you believe you have something worth the time, and invites the audience to agree.
Making Things Worth the Attention You’re Asking For
The practical question for anyone creating professionally in an attention economy is not “how do I capture attention” but “do I have something worth the attention I’m asking for?” This is a harder question than it looks, because the attention economy has trained creators — professionals included — to optimize for capture at the expense of asking whether there’s anything worth capturing for.
The antidote is not to ignore the constraints of the environment — you still need the hook, you still need the clarity, you still need to respect that people have choices about where to spend their time. The antidote is to refuse to let the hook be the whole thing. To make something that rewards the attention it captures with something genuinely valuable: an insight that changes how you see something, an emotion that was worth feeling, a piece of information that actually helps, a piece of writing that was pleasurable to read.
This is not a naive romanticism about creativity. It is the most strategically defensible position in an environment where attention is abundant, scroll-stopping is commoditized, and the things that build lasting audiences are the things that give people a reason to come back.
The Spreadsheet Sloth collection at NoBriefs is for the people doing the slow, real work in an industry obsessed with instant capture. Making things that matter takes longer than three seconds. That’s the point.
Make things worth stopping for. Start at NoBriefs Club.
por Ber | Abr 2, 2026 | Uncategorized
For roughly twenty years, digital advertising operated on a premise so convenient and so thoroughly normalized that almost nobody stopped to examine how strange it was: that it was acceptable to follow strangers across the internet, building detailed dossiers on their interests, behaviors, health concerns, financial situations, and personal relationships, and then use that information to serve them advertisements — without their knowledge, without their meaningful consent, and without any particularly clear sense of whether any of it actually worked as well as the dashboards suggested.
The third-party cookie was the infrastructure that made this possible. It was also the mechanism that regulators, browsers, and eventually even the advertising industry itself acknowledged needed to go. Google finally completed its Chrome deprecation process. Apple had been blocking third-party tracking in Safari for years. Firefox was ahead of both. The era of surveillance-based digital advertising, conducted at scale without friction, is over.
The advertising industry’s response to this has been instructive: several years of denial, a transition period of “alternative identity solutions” that were essentially cookies with extra steps, and now a more honest reckoning with what it actually means to do digital advertising when you can’t track people across the web without their explicit agreement.
What Was Actually Being Bought All Along
The death of third-party cookies is forcing a reexamination of a question that should have been asked more rigorously twenty years ago: what was all that targeting actually worth? The honest answer is: less than the industry claimed, more than the critics admitted, and much more unevenly distributed than the average CPM suggested.
Behavioral targeting based on third-party cookies delivered genuine value in specific contexts — retargeting people who had already demonstrated purchase intent, for example, is genuinely more efficient than broadcasting to everyone. But the broader promise of “reaching exactly the right person at exactly the right moment with exactly the right message” was substantially oversold. Attribution was murky, fraud was endemic, and much of what looked like targeting precision was actually correlated with reach into demographics that would have been accessible through conventional media planning anyway.
The advertisers who depended most heavily on third-party data for their targeting are the ones feeling the most disruption right now. The ones who had invested in first-party data relationships — building genuine audiences who opted in to communication, building owned channels with real engagement — are finding the transition considerably less traumatic.
The Privacy-First Alternatives (And Their Limitations)
The industry has not been sitting still. Contextual advertising — placing ads based on the content of the page rather than the identity of the viewer — has experienced a genuine renaissance. It turns out that showing a car ad to someone reading a car review is effective advertising, and it always was; the detour through surveillance capitalism was not as necessary as everyone thought.
First-party data strategies have accelerated dramatically: brands building loyalty programs, newsletter audiences, community platforms, and other owned channels where users actively provide information and consent to its use in exchange for genuine value. This is better advertising, in almost every respect, than the alternative — but it requires investment, patience, and the willingness to actually provide something worth subscribing to, which is a higher bar than buying targeting data from a broker.
Google’s Privacy Sandbox and similar industry-led alternatives attempt to preserve some behavioral targeting capability within privacy-preserving frameworks. The efficacy of these systems is still being established, the industry adoption is uneven, and the regulatory landscape continues to evolve in ways that make it difficult to build stable long-term strategies around any specific technical solution.
What the Industry Should Have Known
The honest retrospective on the third-party cookie era is that the advertising industry built a value proposition that depended on consumers not fully understanding or consenting to how their data was being used. When consumers and regulators understood it better, they objected — predictably, rationally, correctly. The scramble to find “cookie alternatives” that preserve behavioral targeting without the tracking is, in many cases, an attempt to preserve the business model without addressing the underlying objection.
The more durable path is the one some brands have always taken: building genuine relationships with audiences based on value exchange rather than surveillance, using creativity and relevance rather than tracking precision as the primary mechanism for advertising effectiveness. It is more expensive per impression. It is less scalable in the short term. It produces better brands and more sustainable advertising relationships in the long term.
The end of cookies isn’t a crisis for advertising. It’s an invitation to do advertising better — which requires accepting that “better” sometimes means “harder.”
The Fuck The Brief mindset applies here too. Sometimes the brief is “reach everyone who might buy our product using the cheapest available tracking infrastructure.” Sometimes the right answer is to rip up that brief entirely.
Build something people actually want to hear from. Shop NoBriefs Club.
