by Ber | May 6, 2026 | Marketing & Strategy
Somewhere in the last eighteen months, a new phrase began appearing on product pages, packaging, email signatures, and about sections. Three words, deceptively simple, loaded with more contradiction than any marketing claim in recent memory: Made by Humans.
Not “crafted by hand.” Not “small batch.” Not “artisanal” — that word was exhausted a decade ago, somewhere between the third Brooklyn pickle company and the first artisanal toilet paper brand. This is different. “Made by Humans” is a direct response to something. It is a negation dressed as an affirmation. It is, when you examine it for more than a few seconds, one of the most revealing things the marketing industry has produced in years — and not in the way the brands using it intend.
What “Made by Humans” Is Actually Saying
Strip away the warmth and the earnestness and what “Made by Humans” communicates is this: the alternative — made by machines — is now so plausible, so present, so expected, that it needs to be explicitly ruled out. The phrase exists because the baseline has shifted. It exists because the audience has already started wondering.
This is new. A decade ago, nobody put “Made by Humans” on their packaging because the idea that it might have been made by a machine was not a credible alternative. If you made furniture, pottery, music, copy, or code, it was assumed to involve a human being. The only things made by machines were things obviously made by machines: mass-produced goods, assembly-line outputs, the kinds of products where craft was never part of the value proposition.
Now the phrase is appearing on editorial newsletters, on creative agencies’ website footers, on album releases, on screenplay credits, on design portfolios, on the back of packaging for things that have never once been questioned. It is appearing because the question has arrived. And the question, once asked, does not easily disappear.
The authenticity paradox in marketing has reached a new peak: to prove you’re authentic, you now need a certification. You need a label. You need a marketing claim for your marketing claim.
The Irony That Nobody Will Acknowledge
Here is the thing about “Made by Humans” that should make every marketer pause: the brands adopting this phrase most enthusiastically are often the same brands that have also integrated AI into their workflows most aggressively. Not necessarily into the specific product being labeled — but into the surrounding infrastructure of that product. The email announcing the “Made by Humans” album? Possibly drafted with AI assistance. The social posts promoting the “Made by Humans” essay? Scheduled by an AI tool, captioned with AI suggestions. The ad campaign for the “Made by Humans” product line? Produced using AI image generation for initial concepts.
This is not an accusation. This is just what operational reality looks like in 2025 for any organization trying to move at the speed the market demands. AI is not lurking in a few dramatic applications — it is diffused through the entire production process in ways that are often invisible, often unacknowledged, and often not considered when slapping a “Made by Humans” label on the finished product.
The claim is almost certainly true in a narrow, literal sense. The specific thing being labeled — the song, the essay, the piece of furniture — may well have been made by a human, in the traditional sense of the word. But the ecosystem that produced it, distributed it, and is now marketing it with this claim is not purely human in any meaningful sense. And that gap is where the cynicism lives.
The Market That Emerged, and Who It Actually Serves
There is a genuine consumer anxiety driving the “Made by Humans” trend, and it would be a mistake to dismiss it as manufactured. People are, legitimately, uncertain about what they’re consuming. When you listen to music, read a piece of writing, or look at an illustration, you are now in a position where you might reasonably wonder about its provenance in a way you never did before. That uncertainty is real, and addressing it is a legitimate function of marketing.
But watch what happens to that anxiety when it becomes a market segment. Watch how quickly “legitimate human concern” gets packaged, branded, and sold back to the people experiencing it. The audience worried about AI is now a target demographic. Their concern is a selling point. Their discomfort is an opportunity. And the brands best positioned to capitalize on it are frequently the ones who contributed most to the anxiety in the first place — by deploying AI so aggressively that the question of provenance became inevitable.
This is not unlike what happened with sustainability in advertising. The companies with the largest environmental footprints were often the most enthusiastic early adopters of green marketing. “Made by Humans” is on the same trajectory. It begins as a genuine differentiator for organizations that have made a principled decision about AI. It becomes, within eighteen months, a label that every brand will affix to everything, regardless of the reality underneath.
By the time that happens, the label will mean nothing. The signifier will have detached from the signified, as it always does when marketing captures a genuine human concern and industrializes it.
What This Reveals About the Creative Industry’s Relationship with AI
The “Made by Humans” trend is interesting not just as a marketing phenomenon but as a diagnostic. It tells you something about where the creative industry actually is in its relationship with AI — which is not where most of the discourse suggests.
The public conversation about AI in creative work tends to oscillate between two poles: the utopian (AI as a tool that frees humans to do more meaningful work) and the dystopian (AI as a replacement engine that will eliminate creative jobs entirely). Both poles are narratively satisfying. Neither is especially accurate as a description of what’s actually happening in agencies, studios, and marketing departments right now.
What’s actually happening is messier and more human: most organizations are using AI for some things and not others, often without a coherent policy about which things, and usually without transparency about the distinction. The creative of the future debate imagines a clean binary — augmented human or prompt executor — when the reality is that most working creatives are already both, depending on the hour and the deadline.
“Made by Humans” emerges from this mess. It is the industry trying to establish a premium tier — a category of work where human involvement is not assumed but promised. The question is whether that promise can be verified, sustained, or whether it will collapse under the same commercial pressures that collapse every other authenticity claim in marketing.
The More Honest Version of This Conversation
What would it look like if the industry handled this with genuine honesty rather than marketing strategy? It would probably involve transparency about where and how AI is used in the production process — not as a confession, but as a natural part of how work is described. “This piece was written by a human. This image was generated with AI and refined by a designer. This campaign concept was developed by our team using AI as a brainstorming tool.” The provenance of creative work, disclosed as naturally as ingredients on a label.
This would require the industry to stop treating AI involvement as a secret to manage and start treating it as a production reality to describe. It would require clients to stop assuming that AI involvement is automatically a failure of commitment or a discount on the value of the work. It would require a genuine renegotiation of what we mean when we say something is “creative.”
None of that is happening yet. What’s happening instead is a marketing arms race between “Made by Humans” and “Powered by AI,” each side claiming the consumer’s trust with slogans designed to forestall the actual conversation.
If you’re going to make a claim, make it specific. Make it verifiable. Make it mean something beyond “we felt it was the right message for this quarter.” The KPI Shark at NoBriefs Club was built for exactly this kind of rigorous honesty about what your numbers — and your claims — actually say. Because a “Made by Humans” sticker on the front of something that was built with AI infrastructure underneath is not a brand statement. It’s a fear response with a sans-serif font.
The humans in the room deserve better. So do the humans reading the label.
by Ber | May 5, 2026 | Marketing & Strategy
The marketing industry loves a conversion moment — the sudden, revelatory shift from one doctrine to another, announced with white papers and conference keynotes and a mild implication that anyone who hasn’t converted yet is professionally behind. We went from interruption to permission. From mass to personalization. From third-party data to first-party data to, most recently, zero-party data, which is the kind of term that sounds like it was invented by someone who needed a new chapter for a book that was already mostly written.
Zero-party data is real. It is also, in the way it is currently being discussed, a collective act of marketing industry wishful thinking — the latest in a long line of solutions that work beautifully on a slide and encounter reality somewhere around slide implementation.
Let’s do this properly.
What Zero-Party Data Actually Is
Zero-party data is information that customers voluntarily and proactively share with a brand — their preferences, intentions, personal context, and how they want to be communicated with. The term was coined by Forrester analyst Fatemeh Khatibloo around 2018 and gained momentum as it became increasingly clear that the end of third-party cookies was turning advertising into a practice that no longer knew who it was talking to.
The premise is elegant: instead of inferring what people want by surveilling their behavior — the third-party cookie model, now officially dying a slow and bureaucratically complicated death — you simply ask them. They tell you. You use what they told you. Everyone is satisfied. Privacy advocates are appeased. Regulators are quiet. The CMO presents this at the quarterly business review as a strategic pivot toward customer-centricity.
In theory, this is not just good for compliance. It produces better data than surveillance ever did. A person who tells you they are shopping for a winter coat because they are moving to Oslo is more useful to a retailer than a person whose browsing history suggests they might be interested in cold-weather gear based on seventeen ambiguous data points. Explicit intent beats inferred intent. This is not controversial. This is obvious.
The problem is not with zero-party data as a concept. The problem is with zero-party data as an industry religion — complete with dogma, high priests, and a conversion process that nobody has thought all the way through.
The Value Exchange Problem Everyone Is Politely Ignoring
Zero-party data requires customers to tell you things. Customers will tell you things if — and this is the clause that tends to get buried in the conference keynote — they have a good reason to. If the value exchange is clear and equitable. If the act of sharing information produces something genuinely better for them than the act of not sharing it.
This is where most zero-party data initiatives encounter the structural problem they were designed to solve: brands are not, generally speaking, interesting enough for people to choose to actively communicate with them about their preferences. Your relationship with your shampoo brand is not a relationship in which you want to invest additional effort. You bought the shampoo. You use the shampoo. You don’t want a quiz about your hair journey.
The quiz is currently the industry’s primary zero-party data collection mechanism. The onboarding questionnaire. The “help us personalize your experience” modal that appears at second visit and is closed approximately eighty-three percent of the time. These are not failures of execution. They are failures of premise — a premise that assumes customers feel the same urgency about improving their brand communications experience as the marketing team does about collecting the data to enable it.
They do not. They want to buy the thing and leave. Personalization is a feature that benefits the customer only when it reduces friction — and most personalization creates friction by asking for information that should be demonstrated through the product, not extracted through a survey.
The Part Where Programmatic Advertising Comes Up
Programmatic advertising reached everyone and connected with no one, and zero-party data is supposed to be the antidote. The logic is straightforward: replace the broad, behavioral targeting that cookies enabled with narrow, explicit targeting based on what people actually told you they want.
The problem is that the brands who have the best conditions for zero-party data — strong community, high engagement, genuine customer relationships — are largely the brands that didn’t rely on third-party cookies in the first place. DTC brands that built their businesses on email lists. Subscription products with deep product loops. Retailers with loyalty programs that people actually use because the rewards are genuinely worth something.
The brands that relied most heavily on third-party cookies — the ones for whom the deprecation is most disruptive — are typically the brands with the shallowest customer relationships. They were using surveillance-based targeting precisely because they hadn’t built the kind of brand that people want to actively engage with. Telling them that the answer is zero-party data is a bit like telling someone their house burned down because they didn’t have a strong enough relationship with fire. Technically true. Not immediately actionable.
This doesn’t mean zero-party data is useless for these brands. It means the zero-party data strategy cannot be separated from the underlying brand strategy. You cannot ask for data you haven’t earned the right to receive.
What the Religion Gets Right (and What It Obscures)
Here is where intellectual honesty requires acknowledging that the zero-party data movement, despite its over-promising and its quiz-heavy tactical playbook, is pointing at something genuinely important: the advertising industry built itself on a model of inference and assumption that was always more fragile than it looked, and the collapse of that model is an opportunity to build something that actually respects the people it’s trying to reach.
That opportunity is real. It requires, however, a much harder set of questions than “how do we collect zero-party data?” It requires asking: What value are we actually providing that would make someone want to share their preferences with us? What would we do differently with that information, specifically, that we couldn’t do with behavioral data? And — most importantly — are we willing to deliver meaningfully better experiences to people who share that data, or are we collecting it primarily to satisfy a reporting requirement?
Performance marketing killed the creative star, and data without creative intelligence is just a filing cabinet. The brands that will actually benefit from the zero-party data moment are the ones that treat it as a creative and strategic challenge — not as a compliance workaround or a dashboard metric.
If your team is still translating data into strategy that nobody executes, the Spreadsheet Sloth was made for exactly this crisis of analysis paralysis. And if you’re the person who keeps explaining why the numbers don’t tell the whole story, KPI Shark is the T-shirt you wear to the next presentation where someone confuses data collection with actual understanding.
The Sermon Nobody Gives at the Data Conference
The zero-party data conversation will continue to dominate marketing conference panels until the next paradigm arrives — probably something involving AI inference that makes the surveillance question moot by rendering explicit data collection unnecessary in ways that privacy law hasn’t caught up with yet. The industry will pivot to that with the same enthusiasm it pivoted to zero-party data, and the white papers will be updated accordingly.
In the meantime, the actual path forward is less glamorous than any of the conference keynotes suggest: build products and experiences that are genuinely worth engaging with, offer value exchanges that are transparent and real, and — when you ask people for their preferences — actually use what they tell you to improve something specific and noticeable in their experience.
That’s not a religion. It’s just respect. It turns out respect has always been a better marketing strategy than surveillance. We just needed to lose access to the surveillance tools before most of the industry was willing to consider it.
The congregation is enthusiastic. The scripture is finally being written. Whether anyone reads it before the next paradigm arrives is, as always, the real key result.
by Ber | May 4, 2026 | Marketing & Strategy
The brief arrived on a Tuesday, with the subject line “Q3 Sustainability Campaign — URGENT.” The client wanted to communicate their commitment to the environment. They wanted it to feel authentic. They wanted consumers to understand that this company — this particular company, in this particular sector, at this particular moment in the history of planetary concern — genuinely cares. They wanted thirty seconds of clean, aspirational footage, a tagline about the future, and a media plan that gets it in front of as many people as possible before the reporting period ends. What they did not want — what nobody in the history of brand communications has ever explicitly wanted — is for anyone to look too closely at the supply chain.
The Green Ad Industrial Complex
Sustainability advertising is now a genre with its own grammar. There are the aerial shots of forests, filmed from above in a way that makes deforestation invisible. There are the hands — always hands, cupped around soil, releasing a butterfly, planting something that will grow into a better future. There are children, who represent the future and are therefore available to represent almost anything involving the future. There is the metric: one million trees, fifty thousand tonnes of carbon reduced, a percentage point of something measured in a way that sounds significant without requiring context.
Underneath the grammar is a structural problem that the advertising industry has largely elected not to discuss at industry events. Sustainability advertising, in most cases, communicates a relationship between a company and the environment that is aspirational rather than descriptive. The campaign is not about what the company does. It is about what the company would like to be seen as doing, or intends to do, or is doing in a pilot program in three locations, or has committed to completing by 2040 — far enough away that the brand team responsible will have changed jobs at least twice before it comes due.
This is not a failure of individual creative teams. It is a structural consequence of commissioning advertising before the underlying business transformation has occurred. The brand strategy says “we are committed to sustainability.” The business operations say “we are committed to sustainability provided it does not materially affect our margins before Q4.” The advertising is asked to resolve that contradiction in thirty seconds, without technically lying, without being boring, and without making the compliance team nervous. This is an unreasonable brief. Most unreasonable briefs get made anyway.
A Taxonomy of the Green Claim (and What It Usually Means)
“Carbon neutral” typically means: we have calculated our emissions, identified the ones we are unwilling or unable to reduce, and purchased offsets for the remainder. The offsets fund projects that may or may not have the stated effect, in locations that may or may not be monitored with the stated rigor. We are not carbon neutral in any physical sense. We are carbon neutral in a contractual sense, which is a different thing, and if you read the footnote, we say so.
“Made with recycled materials” typically means: some component of this product — we are not specifying which component, or at what percentage — was made from recycled materials. The packaging may be recycled. The product itself may be unchanged. The recycled content may comprise the instruction leaflet.
“We’re on a journey” means: we have not yet done the thing we are implying we are doing, but we would like credit for having thought about it. The journey has no published itinerary, no arrival date, and no mechanism by which consumers can verify progress. It is, functionally, a commitment without a commitment, which is the brand communications equivalent of a very enthusiastic nod.
None of this is unique to any single company or sector. It is the vocabulary of an industry being asked to market transformation faster than transformation can occur. The advertisers writing these briefs are not, for the most part, cynics. They are people in organizations where the sustainability team, the marketing team, and the legal team have all had input, and the result is language that everyone has agreed is defensible — which is not the same as language that is true.
What the Brief Actually Wants (But Cannot Say)
Read between the lines of enough sustainability briefs and a consistent subtext emerges. The brand needs to communicate environmental credentials because competitors are communicating environmental credentials, because regulators are beginning to pay attention, because a segment of the target audience has begun to factor sustainability into purchase decisions, and because the company would like to retain the option of recruiting from a talent pool that cares about where it works.
This is a legitimate set of business reasons. It is also a set of business reasons that has very little to do with the environment, which is the entity the advertising is nominally about. The environment is the medium through which a competitive positioning exercise is being conducted. The trees are doing the same work the golden retriever does in the insurance ad: providing an emotional context that makes a transaction feel like a value alignment.
The question of what the brief of the future looks like is relevant here: as AI tools make it easier to generate sustainability claims at scale, the gap between what brands say and what regulators can verify is becoming a compliance issue rather than merely a credibility one. The UK’s ASA and the EU’s Green Claims Directive are already moving in this direction. The brands that built actual environmental programs before commissioning the advertising are discovering that honest sustainability communication is a competitive advantage precisely because it is so rare.
The Campaigns That Worked (And Why They Were Different)
The sustainability advertising that has earned genuine consumer trust shares a quality that distinguishes it from the genre’s standard output: specificity. Not “committed to a greener future” but “we removed plastic from our packaging in 2022, here is what we replaced it with, here is the difference in carbon intensity, here is the problem we haven’t solved yet.” Not “we care about the planet” but “this specific thing we make creates this specific environmental problem, and this is what we are specifically doing about it, with this specific timeline.”
This kind of advertising is harder to make. It requires the brand to know things about its own operations that many brands would prefer not to know, or would prefer not to share. It invites scrutiny in a category where scrutiny has historically been avoided. It also builds the kind of credibility that the generic green advertisement, with its aerial forests and released butterflies, can never achieve — because credibility, in sustainability communication as in all communication, is a function of specificity, consistency, and the courage to say what is not yet resolved.
Patagonia’s “Don’t Buy This Jacket” campaign is the most cited example in every sustainability marketing workshop for a reason. It worked not because it was clever but because it was honest in a way that required something of the business itself, not just the agency. The advertising was downstream of an actual position. Most sustainability advertising is upstream of one — commissioned before the position is earned, in the hope that the campaign will create consumer permission to work on the problem later.
If you’re tracking sustainability KPIs that exist primarily to make the CMO presentation look good, our piece on ego KPIs will confirm your suspicions with the documentation they deserve. Spreadsheet Sloth, our tool for making sense of data that was collected without a clear question in mind, is particularly useful for auditing what your sustainability metrics are actually measuring versus what they are being asked to prove.
The Honest Sustainability Ad Nobody Will Commission (But Should)
There is a version of this advertisement that doesn’t exist yet, or barely exists. It opens on a supply chain that is too long and not yet clean enough. It says, in plain language: here is what we make, here is what it costs the environment to make it, here is what we are doing about it, and here is the honest distance between where we are and where we say we are going. It ends without a major-chord resolution because the problem has not been resolved. It invites the consumer into an ongoing relationship with an incomplete story rather than a completed one.
This ad would fail most standard creative testing protocols. It would make the legal team very uncomfortable. It would require a client willing to fund advertising that does not make the product sound better than it is. It would, however, be the only kind of sustainability advertising that deserves to be trusted — which is, if you think about it, the only kind that would actually be effective.
Until that brief exists, the forests will continue to be filmed from above. The hands will continue to cup the soil. The children will continue to represent the future. And somewhere in an agency, a creative team will be asked to make it feel authentic — which is the brief that arrives when the work itself cannot be.
If you’re a creative professional who’s tired of making work that contradicts itself, the NoBriefs community was built for you. And if you want to wear the discomfort openly, the shop has gear for people who are done pretending the brief and the reality are the same document.
by Ber | May 4, 2026 | Marketing & Strategy
Every year, in every country with a functioning insurance market, the same advertisement is filmed. A family laughs around a kitchen table that has never once been used for homework arguments. A dog runs through a garden where the grass is always perfectly dry. Someone signs a document and exhales with the specific relief of a person who has just solved a problem they never actually had. A warm voice says something about protection, about peace of mind, about being there when it matters. The colors are amber. The music resolves into a major chord. Cut to logo. You have seen this advertisement approximately ten thousand times. You will see it ten thousand more. Somewhere right now, a creative team is making it again.
Anatomy of the Perfect Insurance Ad That Has Never Changed
If you were to deconstruct the canonical insurance advertisement with the seriousness it deserves, you would find the same load-bearing elements every time. There is, first, the establishing shot of ordinary life: the kind of life that is warm and organized and slightly more spacious than most people’s actual lives, populated by photogenic humans whose affection for one another is legible from twenty meters.
Then comes the implied threat. This is the structural heart of the genre, and it is handled with extraordinary delicacy, because the product being sold — insurance — is fundamentally about catastrophe, and catastrophe is not compatible with golden-hour lighting. So the threat arrives obliquely: a passing siren, a rain shower, a moment of parental worry that is instantly resolved by the arrival of a notification on a phone. The product appears. The anxiety dissolves. The family reconstitutes around the kitchen table, now with slightly more gratitude than before.
The formula exists because insurance is perhaps the most cognitively dissonant product category in advertising. You are selling protection against events that the consumer does not want to think about, to an audience that has not yet experienced them, in a format that must remain pleasant enough to sit through. This is genuinely difficult. The formula is the industry’s answer to that difficulty: a visual language so thoroughly associated with safety and warmth that the category cue does the heavy lifting before a word of copy is spoken.
Why the Formula Terrifies Everyone Who Considers Breaking It
There have always been creative teams willing to try something different with insurance. The briefs arrive sounding ambitious: “We want to challenge the category norms.” “We want to talk to a younger audience in a more authentic way.” “We want to be the insurance brand that actually has a personality.” These are real things that real marketing directors say, in real meetings, before the research comes back.
Because the research always comes back. And what the research shows, reliably, across markets and demographics, is that insurance buyers — even young ones, even ones who say they want something different — respond to trust signals. And the established visual language of the category is a trust signal. The golden retriever communicates stability. The warm kitchen communicates domesticity. The reassuring voice communicates institutional reliability. You can have a personality or you can have purchase intent. The research rarely recommends trying for both.
This is the client conversation that creative teams dread: the one where the work that felt brave in the agency comes back from testing labeled “polarizing,” which in insurance terms is a synonym for “unsuitable.” The brief said to challenge the category. The brief forgot to mention that the category exists in its current form because its customers actively want it to. A brief written in perfect contradiction will always resolve in the direction of safety, because that is where the money is.
The Agencies That Tried (And What the Industry Learned)
There is a shorter list than you’d expect of insurance advertising that genuinely broke the mold and succeeded commercially. The campaigns that most people remember in the category are not the ones that broke the formula — they are the ones that executed the formula with unusual competence. They found better families, better lighting, more emotionally precise moments of vulnerability and resolution. The formula remained. The craft improved.
The exceptions exist, but they share a specific quality: they found a way to be different in tone while remaining safe in structure. The humor-forward approaches — the jingle-based brands, the ones that lean into the absurdity of insurance as a product category — work because they acknowledge the formula even as they subvert it. The audience knows what an insurance ad is. Playing with that knowledge, rather than pretending it doesn’t exist, is the only form of creativity the category routinely rewards.
The campaigns that abandoned the formula entirely — that tried to make insurance feel like a tech product, or a lifestyle brand, or a movement — tend to look interesting in the agency credentials deck and perform poorly in the market. They become case studies in a different kind of portfolio: the one that proves the market is right and the creative team was not. If you’ve ever been in that debrief, the pitch you won but wish you hadn’t is required reading.
The Social Media Problem Nobody Has Solved
Social media was supposed to change this. The theory was that insurance brands, freed from the broadcast format and its associated conventions, would find ways to communicate through relevance, humor, and utility rather than through the ritual comfort of the thirty-second film. Some have tried. The results are instructive.
What insurance brands have discovered on social media is that the genre’s conventions are not imposed by the format — they emerge from the category itself. An insurance brand that posts irreverently on Instagram still needs to convert that attention into a policy purchase, and the purchase decision still involves the same trust dynamics that produced the golden retriever. The funnel starts in one register and ends in another, and bridging that gap is a problem that no amount of brand personality can fully dissolve.
The brands that have done it best have essentially accepted that they are operating two parallel communications strategies: the brand layer, which can afford to be warmer and more human; and the product layer, which cannot afford to be anything other than reassuring and clear. These are not contradictory strategies. They are just expensive ones — and most insurance brands eventually decide the formula covers both needs adequately. Which is why the ad with the dog in the garden is still being filmed today.
The ego KPIs of brand personality scores and recall metrics have given a lot of insurance marketing directors permission to call this a solved problem. For the deeper analysis of metrics that measure pride rather than business outcomes, our piece on ego KPIs explains exactly how this happens across every category, not just insurance.
What a Genuinely Different Insurance Ad Would Actually Cost
Here is the uncomfortable arithmetic. A genuinely different insurance advertisement would require a client willing to accept short-term performance risk in exchange for long-term brand differentiation. It would require research that measures different things than the research that currently validates the formula. It would require a creative team with the confidence to defend uncomfortable work through the testing process. And it would require a budget owner who understands that category disruption is a multi-year investment, not a quarterly deliverable.
All of those things exist, occasionally, in the same organization at the same time. When they do, interesting insurance advertising gets made. When they don’t — which is most of the time, in most markets, in most organizations — the formula reasserts itself with the quiet inevitability of gravity. The kitchen gets warmer. The dog gets friendlier. The voice gets marginally more reassuring. The logo appears. The major chord resolves.
If you’re the creative team currently making this ad, we are not judging you. We know the brief. We know the twelve rounds of feedback that got you here. We also know that executing the formula with genuine craft is a different thing from executing it carelessly. The difference shows, even when the elements are identical.
And if you want to wear your category fatigue openly, the NoBriefs shop has merch for creative professionals who have spent one too many days in a meeting where “more warmth” was the only note. Our brand guidelines were not written by a committee. You can tell.
by Ber | May 3, 2026 | Marketing & Strategy
Somewhere around 2018, the marketing industry collectively convinced itself that the solution to declining attention, banner blindness, and the general exhaustion of a population drowning in content was to get more personal. More relevant. More tailored. More you. The logic was clean: generic ads fail because they speak to no one. Personalized ads win because they speak to everyone individually. And with enough data, you could know your customer so precisely that your message would feel less like advertising and more like a friend who happened to know exactly what you needed.
What the industry did not fully anticipate was that there is a line between “relevantly personal” and “deeply unsettling,” and that line is easy to cross, difficult to identify in advance, and currently being crossed so frequently that users have developed a specific new form of digital anxiety: the feeling that their phone is listening to them even when it isn’t.
From Mass Market to Mass Surveillance
The history of advertising is a history of targeting improving incrementally. Mass media targeted demographics. Direct mail targeted behavior. Email targeted declared preferences. Digital targeting started combining all three, and then the data industry got involved, and then everything got complicated.
Today’s programmatic ecosystem can theoretically target a 34-year-old woman in a specific postal code who has recently searched for fertility clinics, owns a dog, is in the market for a new car, and whose household income falls within a particular band — and serve her a different creative than it serves the 35-year-old man in the same postal code who has different signals attached to his digital profile. This is presented as the pinnacle of relevance. In practice, it is the point at which relevance starts to feel like surveillance.
The uncanny valley was originally a concept from robotics: the idea that as a robot becomes more humanlike, it becomes more likable, until it crosses a threshold of near-human resemblance and suddenly becomes deeply unsettling. Something about it is wrong in a way that’s hard to articulate. The eyes are right but something is off. The movement is close but not quite.
Hyper-personalized advertising has its own uncanny valley. As targeting becomes more precise, it becomes more useful — up to a point. Then something tips. The ad knows too much. It appeared too quickly after a conversation you had offline. It references a purchase you made in a physical store. It speaks to a life event you haven’t told anyone about, let alone a brand. And suddenly the ad isn’t helpful. It’s eerie. And eerie doesn’t convert. Eerie generates screenshots shared on social media with the caption “okay this is getting weird.”
The Algorithm That Knows Your Divorce Before You Do
There’s a famous case study from Target’s early data science days: the retailer’s algorithm identified shopping patterns associated with pregnancy so accurately that it was sending baby-product coupons to women who hadn’t yet told anyone — including their families — that they were expecting. The story became a cautionary tale, but the industry mostly read it as an inspiration.
The same predictive logic now underpins categories far beyond retail. Insurance companies can infer health risks from shopping data. Financial services companies can detect relationship breakdowns from spending pattern shifts. Employment platforms can identify when someone is thinking about leaving their job before they’ve updated their LinkedIn. The data exists. The algorithms are trained. The question of whether brands should use this intelligence to target people at their most vulnerable moments is, apparently, a quarterly OKR conversation rather than an ethical one.
The result is advertising that feels less like a brand speaking to a customer and more like a brand speaking to a case file. “We know you’re going through something. Here’s our product.” The personalization isn’t wrong in the technical sense — it’s precisely targeted. But the emotional register is completely off. People don’t want brands in their private moments. They want brands to be useful when they’re ready to engage. The distinction matters enormously, and the targeting platforms haven’t figured out how to encode it.
This is related to what’s happening with the end of third-party cookies — but the cookie problem is about data loss, and the uncanny valley problem is about data excess. Two opposite crises colliding in the same industry at the same time, which should tell you something about the state of the ecosystem.
When Your Ad Is So Relevant It Becomes Invisible
Here’s the paradox that the personalization enthusiasts haven’t fully reckoned with: extreme relevance and extreme invisibility are not opposites. They converge.
Users who have been tracked, profiled, and served hyper-personalized content for years develop a specific form of ad literacy that is different from traditional banner blindness. They don’t just ignore the ads. They recognize the mechanism. They see the targeting at work. They know that the running shoes ad appeared because they searched for running shoes, and knowing that mechanism makes the ad less persuasive, not more. The magic trick is only magical if the audience doesn’t know how it works.
There’s also the problem of confirmation loops. Hyper-personalized advertising shows people more of what they’ve already engaged with — which is not the same as showing them what they need or want next. A customer who bought a laptop three months ago doesn’t need to see laptop ads for the next six months. A customer who bought wedding flowers doesn’t need wedding content served to them indefinitely. The algorithm optimizes for engagement with past behavior. The human experience moves forward. These two things are perpetually out of sync.
The brands that have figured this out — and there aren’t many — use personalization as a floor rather than a ceiling. The floor: know enough about the customer to not be irrelevant. The ceiling: stop before you cross the line that makes the customer feel watched rather than understood. The space between those two points is where good advertising lives. Most programmatic campaigns never find it because the incentive structures reward precision over judgment.
The Paradox of Perfect Targeting and Imperfect Results
The performance metrics for hyper-personalized campaigns are frequently excellent at the micro level and baffling at the macro level. Click-through rates go up. Conversion rates improve. Cost-per-acquisition falls. And yet brand equity stagnates, customer lifetime value flatlines, and the category feels like it’s competing on offer rather than meaning.
This is the performance paradox. Targeting people so precisely that they click on your ad doesn’t mean you’ve built anything. It means you caught someone at a moment of high intent and served them what they were already going to buy. That’s useful. It’s also not marketing in any interesting sense — it’s just inventory management with better UI.
The brands that have historically built lasting value — the ones that people choose when they don’t have to, pay premium prices for when cheaper alternatives exist, recommend to friends without being incentivized — are almost never the ones with the most sophisticated targeting stack. They’re the ones with the most coherent point of view. They said something meaningful. They stood for something. They made people feel a way about the brand that had nothing to do with whether the ad appeared at the precise moment of purchase intent.
You can’t build that with a lookalike audience and a dynamic product carousel. You need an actual idea, which requires an actual brief, which requires humans who can think strategically about culture, behavior, and meaning. The vanity metrics that measure clicks rather than actual value are part of the same problem: we’ve built industry infrastructure optimized for measurement at the expense of meaning.
What Comes After Personalization
The next wave of advertising — if the industry has enough self-awareness to find it — won’t be about knowing more about the individual. It’ll be about knowing when to step back. Privacy-first not as a regulatory compliance checkbox but as a genuine brand value. Contextual relevance rather than behavioral surveillance. The insight that sometimes the most effective ad is the one that’s simply in the right place at the right time with the right message — without needing to know your blood type, your anxiety levels, or the fact that you visited a competitor’s site twice last Tuesday.
This requires giving up something that the industry is deeply attached to: the illusion of control. Hyper-personalization felt like the answer to uncertainty. If you know enough about the customer, you can predict what they’ll do. If you can predict what they’ll do, you can eliminate waste. If you can eliminate waste, the whole thing becomes efficient and accountable and safe to present to the CFO. The problem is that humans aren’t predictable enough for this model to work cleanly, and the attempt to force them into it produces exactly the uncanny valley effect we’re describing.
The creatives who will thrive in what comes next aren’t the ones who’ve mastered the targeting platforms. They’re the ones who’ve mastered the art of saying something genuinely interesting to a human being, regardless of whether that human being left digital traces that suggested they might be receptive. That art hasn’t changed since the first billboard. It’s just been temporarily buried under a very large pile of data.
If you want tools that help you think clearly about what’s actually working — rather than what looks like it’s working — KPI Shark was built to help you cut through the metrics theater and find the numbers that actually matter. Because the uncanny valley isn’t just about creepy ads. It’s about an industry that has confused sophistication with intelligence, and data volume with understanding.
by Ber | Apr 30, 2026 | Marketing & Strategy
There was a moment — and if you’ve been in this industry long enough you’ll remember it — when “always-on” felt like an answer. The insight seemed obvious in retrospect: why spend everything on a single campaign that runs for six weeks and then disappears, when you could maintain a continuous presence, build audiences incrementally, and compound your reach over time? It was agile. It was data-informed. It was the future. What nobody mentioned, because nobody had noticed yet, was that “always-on” is a production philosophy masquerading as a strategy. And when you replace strategy with production philosophy, the thing that quietly dies is the thinking.
We are now living in the aftermath. And it is starting to show.
What “Always-On” Actually Means in Practice
In theory, always-on marketing means maintaining a sustained, coherent presence across channels that builds brand equity over time while remaining responsive to real-time opportunities. In theory, it is intelligent, adaptive, and efficient.
In practice, it means a content calendar with fifty-two weeks of slots that need to be filled. It means a social media manager producing content at a volume that makes considered creative judgment structurally impossible. It means monthly performance reviews where “output” is measured in posts per week, reach figures, and engagement rates — none of which are necessarily connected to why the business exists or what it is trying to achieve.
It means, in many organisations, that the brief has been replaced by the calendar. “What are we saying?” has been replaced by “what are we posting on Thursday?” These are different questions. The first is a strategic question. The second is a logistics question. Logistics departments are good at logistics. They are less good at building brands.
The Campaign as Thinking Exercise
Here is what the campaign model gave you that always-on does not: it forced a conversation.
Before a campaign launched, someone had to answer: what is the single thing we are trying to communicate, to whom, and why does it matter? That question — uncomfortable, often contentious, frequently revealing — was the pressure that produced clarity. Campaigns had budgets that required justification. They had timelines that required commitment. They had objectives that required definition. They were, in other words, the occasion for strategic thought.
Always-on content often has none of those things. It has KPIs — usually vanity metrics of the kind we’ve written about in some detail here — and it has volume targets, and it has a vague mandate to “build community” or “drive awareness.” But it rarely has a clear reason for existing beyond the fact that the channel needs to be fed.
The result is an industry paradox: we have more marketing output than ever before in history, and less clarity about what any of it is for.
The Algorithm as Art Director
Always-on marketing also handed creative decision-making to a third party that has no interest in your brand: the algorithm. When your content strategy is optimised for platform performance, you are not building your brand. You are building a relationship with a distribution system that can change its rules at any moment and has, in fact, done so repeatedly.
The content that performs well on any given platform tells you what that platform’s algorithm currently rewards. It does not tell you what your audience genuinely values, what your brand authentically stands for, or what would actually move someone from indifference to purchase. Those questions require a different kind of research and a different kind of creative courage.
The algorithmic imperative has homogenised brand voice across entire categories. Direct-to-consumer brands now sound identical. B2B SaaS companies have converged on a register that is simultaneously casual, earnest, and aggressively helpful. Instagram grids follow patterns so predictable they have their own post-mortem here. The brands that actually stand out are the ones that have, consciously or instinctively, refused to let the platform define their communication style. They have maintained a point of view. That point of view usually predates their content calendar by several years.
The Real Cost of Constant Output
There is a human cost to always-on that the industry has been reluctant to discuss, partly because it is uncomfortable and partly because it is expensive to fix. Creative teams operating under sustained content production pressure cannot do their best work. This is not a failing of the individuals involved. It is a structural reality. Good creative thinking requires space, context, and the kind of purposeful boredom that generates genuine ideas. It requires the ability to work on something long enough to know when it’s right.
A team producing four pieces of content a week cannot do that. They can produce competent, on-trend, strategically coherent output. They cannot produce the thing that stops someone mid-scroll and makes them feel something they didn’t expect to feel. Not consistently. Not sustainably. Not while also attending the weekly metrics review and updating the content calendar and briefing the freelancer on next month’s carousel posts.
Creative burnout in marketing is often framed as an individual resilience issue. It is more accurately described as a systems design failure. We built a machine that runs on creative output, then expressed surprise when the people operating the machine ran out of fuel.
What Recalibration Looks Like
The answer is not to abandon digital channels or to pretend that consistent presence doesn’t matter. It does. But presence and saturation are different things, and the industry has conflated them for long enough that the distinction has become radical.
The brands that are starting to figure this out are not posting less — or not only that. They are thinking more deliberately about what they are saying, to whom, and why. They are treating their always-on content as an expression of a strategy rather than a substitute for one. They are asking the campaign-era question — what is the single thing we are trying to communicate? — and then figuring out how to sustain that communication across time rather than producing new things for the sake of newness.
That is, in fact, what always-on was supposed to be. The sustained, coherent expression of a clear brand position. Somewhere between the first content calendar and the two hundred and forty-seventh LinkedIn post, the sustaining and the coherence got lost. What remained was the “on.”
If you’re thinking about the future of the brief in this context, the good news is that generative AI will take care of the volume problem. The bad news is that volume was never the problem. The problem was always the thinking. And that, for the foreseeable future, remains stubbornly human.
For the people who are still in the room arguing for strategy over calendar, for ideas over output, for things that matter over things that simply exist — the Spreadsheet Sloth collection at NoBriefs is for you. Wear it as a reminder that moving slowly and thinking carefully is not a liability. In the always-on era, it might be the last genuine competitive advantage left.
