by Ber | Jun 4, 2026 | Marketing & Strategy
Every year, somewhere in a marketing department, someone says: “We need to know what people are saying about us online.” Everyone in the room nods. This feels like progress. A shortlist of tools is assembled. Demos are scheduled. Someone sits through forty-five minutes of a vendor explaining sentiment analysis with a slide showing a word cloud. A contract is signed. A dashboard is configured. Keyword alerts are set up. Sentiment scores begin populating. Topic clusters appear. The tool fires an email alert at 3am when someone tweets something ambiguous about the brand.
And then, approximately two weeks after go-live, nobody looks at it again. The emails pile up unread. The dashboard loads with fresh data every morning into a browser tab nobody opens. The annual license renews automatically, as annual licenses do, in that particular corporate tradition of paying for things that stopped being used before the onboarding was complete. Social listening: the subscription that proves your company cares about customers, in the same way owning a treadmill proves you exercise.
The Dashboard Nobody Checks
The marketing technology graveyard is vast and underappreciated. It contains, in no particular order: the content management system that was going to solve the publishing bottleneck, the project management tool that replaced the previous project management tool that replaced the spreadsheet, the employee advocacy platform everyone was very enthusiastic about in Q1, and the social listening dashboard that cost somewhere between “uncomfortable” and “requires board approval” annually.
Social listening tools are sold on a compelling premise: your customers are talking, and you should probably know what they’re saying. This is true. What the sales deck doesn’t fully explore is the distance between having access to what customers are saying and actually doing something about it.
The gap between those two things is where social listening initiatives go to die. It’s not a technology gap. The tools work. The data is real. The sentiment scores are reasonably accurate, in the same way that a thermometer is accurate — it tells you the temperature, but it doesn’t decide what to do about the weather. The gap is organizational. It’s the absence of a person whose actual job is to look at the data, translate it into insight, bring that insight to someone who can act on it, and then follow up to find out whether anyone did.
In most companies, that person doesn’t exist. Instead, there’s a shared login that three people have access to and none of them check.
Why Social Listening Dies in Implementation
The tool gets purchased because someone senior asked for it, or because a competitor has one, or because it was in the digital transformation roadmap alongside eleven other initiatives that were also going to transform things. The purchase is the milestone. After that, there’s no milestone. There’s just the ongoing activity of checking a dashboard that isn’t connected to any decision-making process, which is to say: there’s nothing.
Social listening requires something most marketing departments are structurally unable to provide: a feedback loop with actual consequences. For listening to matter, the insights have to reach someone who changes something as a result. Product has to hear that customers are complaining about the checkout flow. Customer service has to know about the complaint thread gaining traction before it gets screenshotted by a journalist. The campaign team has to find out that the hashtag they launched has been adopted by a community with a very different set of values.
This requires the kind of cross-functional communication that most organizations celebrate in their values documents and actively undermine in their org structures. Marketing tells product. Product has a six-week backlog. Customer service operates in a different reporting line. The campaign team is already in production. The insight arrives, is acknowledged, and disappears into the coordination gap between departments that don’t have a standing agenda item for “things the social listening tool found.”
We’ve written about how ego KPIs colonise the metrics conversation in marketing — the preference for numbers that look good over numbers that mean something. Social listening is particularly vulnerable to this dynamic. Mentions are up. Sentiment is “broadly positive.” Share of voice has increased. These are numbers that can appear in a quarterly review without producing a single actionable decision. They are the marketing equivalent of a vital signs readout for a patient nobody’s treating.
The Social Listening Report as Corporate Ritual
In the organizations that do engage with social listening data, a recurring artifact emerges: the Monthly Social Listening Report. It is, in its way, a masterpiece of genre fiction.
It contains charts. It contains selected verbatim quotes, chosen to illustrate trends that were already known. It contains a section on “emerging themes” that are, upon examination, the same themes that appeared in last month’s report. It contains competitor analysis showing that competitor sentiment is roughly similar to brand sentiment, in the way that all weather systems in the same region tend to have roughly similar weather.
The report is distributed to a list of stakeholders who were added to the distribution list during onboarding and have never asked to be removed. Most of them have a filter that sends it directly to a folder. Some of them read the executive summary, which is three bullet points long and contains no information that changes anyone’s plans for the week.
This is not a criticism of the people making the report. The report is a rational response to an irrational organizational situation: you have data, nobody is asking for specific insight, so you produce a comprehensive document that demonstrates you have data. The document is the deliverable. The insight was never really the point.
We covered a similar dynamic with the social media report nobody understands — the performance theater of metrics documents that signal activity rather than generate decisions. Social listening reports are that phenomenon wearing a more sophisticated hat.
What You Actually Learn When You Listen
Here’s the thing: social listening, done properly, is genuinely valuable. Not the dashboard — the practice. The actual habit of regularly examining what customers, competitors, and culture are saying about your category, without a predetermined conclusion, and bringing those observations into strategic conversations before they become crises.
Companies that do this well tend to share some characteristics. There’s usually a person (sometimes just one person) who treats listening as a core responsibility rather than a dashboard to log into occasionally. The insights are specific and actionable: not “sentiment is positive” but “three different customers this week mentioned the same friction point in the onboarding flow using almost identical language.” The information reaches the right person within a time window where it can still influence a decision.
None of this requires a six-figure enterprise tool. It requires a methodology and someone whose job includes following up to find out whether anything happened. The KPI Shark was built precisely for the problem of distinguishing between metrics that create urgency and metrics that create the feeling of urgency without the follow-through — a distinction that matters enormously when you’re deciding which numbers deserve human attention.
What social listening, at its best, gives you is signal: early warning, customer language, category movement, the kind of information that allows you to be ahead rather than reactive. What most companies actually get is a very expensive form of not listening, with better charts.
Listening Is a Verb, Not a Subscription
The problem with social listening as a category is the noun. A listening strategy is a process. What gets sold is a tool. The tool is measurable, purchasable, and demonstrable in a vendor demo. The process is organizational, requires ongoing attention, and can’t be turned on with a credit card.
If your social listening program consists primarily of a dashboard that generates reports that go into a folder, you’re not doing social listening. You’re doing social storage. The data exists. Nobody’s home to receive it.
The fix is not a better tool. It’s a simpler one: a regular meeting, a designated recipient, a question being asked and answered. What did we learn this week about what customers think about us? What are we going to do about the most important thing? Who’s doing it, and by when?
That meeting doesn’t require a platform. It requires a decision to treat listening as work rather than infrastructure. The infrastructure part is easy. The organizations that have solved it are the ones who noticed that listening isn’t something you install — it’s something you do.
The dashboard will keep loading. The question is whether anyone’s looking at it.
For tools that cut through the noise and tell you what actually matters — visit the NoBriefs shop. Built for people who’ve had enough of metrics that look good and do nothing.
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by Ber | May 31, 2026 | Marketing & Strategy
Sustainability in Advertising: What Happens When the Greenwashing Gets Sophisticated
We’ve moved past the era of the obviously bad greenwash: the oil company with the flower logo, the fast fashion brand that planted trees in return for selling more fast fashion, the airline that let you offset your guilt for eight dollars. We’ve been through that phase. We wrote the hot takes. We published the Twitter threads. We held the campaigns accountable. The industry blushed, issued statements, and then did something much more interesting: it got better at pretending. What comes after obvious greenwashing is something harder to call out and, consequently, far more dangerous.
Phase One: The Era of Visible Hypocrisy
The first wave of sustainability advertising was characterized by a specific kind of audacity: brands making environmental claims that were plainly disconnected from their core business model, delivered with sincerity that required either total self-deception or a complete underestimation of the audience’s intelligence.
The mechanics were simple and the targets were easy. A petroleum company running ads about renewable investment while 98% of its capital expenditure went to fossil fuels. A consumer packaged goods giant launching a “green” line that represented 1.3% of its portfolio while the remaining 98.7% continued as before. A textile company using recycled materials for a capsule collection photographed against Nordic landscapes, while the supply chain behind the main line remained opaque.
This era produced the vocabulary: greenwashing, purpose-washing, sustainability theater. It produced the regulatory response — the EU’s Green Claims Directive, the UK’s Green Claims Code, the FTC updates to its Guides for the Use of Environmental Marketing Claims. It produced, most usefully, a generation of consumers who developed a reasonable detection system for the obvious stuff.
The problem with effective criticism is that it produces adaptation rather than change. The brands didn’t stop. They got smarter.
Phase Two: When Greenwashing Learned to Speak in Data
The second era is the one we’re living in now, and it’s considerably harder to write the hot take about. The new greenwashing isn’t characterized by obviously false claims. It’s characterized by technically defensible ones that add up to something misleading.
The carbon offset that genuinely represents a real ton of CO2 sequestered — somewhere, by someone, under a certification framework with its own internal debates about permanence and additionality. The supply chain audit that is real, rigorous, and covers approximately 40% of actual tier-one suppliers. The materiality assessment that meets every reporting standard in the jurisdictions where the company operates, and omits the jurisdictions where it operates with less scrutiny. The net-zero pledge that is backed by a credible pathway to 2050 targets and requires you to read 47 pages of appendices before you find the assumption about carbon capture technology that doesn’t exist yet at scale.
This is greenwashing’s MBA era. Every claim is defensible. The picture they combine to create is the problem. We’ve written about sustainability advertising’s hypocrisy with good intentions — but the good intentions have gotten better at citing sources, and the hypocrisy has hired a sustainability consultant to make it look like a framework.
The Creative in the Middle of All This
If you’re a creative, a strategist, or a copywriter who has sat in a briefing for a sustainability campaign and felt something in your stomach that wasn’t quite right, this section is for you.
The brief usually looks something like this: the brand has a genuine sustainability initiative, it has real data points to support it, and it wants a campaign that communicates this progress in a way that “resonates with environmentally conscious consumers.” The ask is real. The data is real. The discomfort you feel is also real, and it comes from a gap that nobody in the briefing is naming out loud: the initiative is real and it’s also insufficient, and the campaign will be designed to make the insufficient look like progress rather than to communicate the full picture including what still needs to change.
This is the brief where the Fuck The Brief ethos earns its name. Not because sustainability campaigns shouldn’t exist — they should, the information matters — but because a brief that asks you to make incremental progress look like systemic change is asking you to be complicit in something. You can execute it. Most people do. The question is whether you want to, and what it costs you each time you decide yes.
The Consumer Who Knows and Buys Anyway
Here’s the piece of this puzzle that makes the sophisticated greenwash possible: consumer ambivalence. Not ignorance — ambivalence. The research on this is consistent and somewhat deflating. Consumers, particularly in the 25-44 demographic that sustainability communications most target, simultaneously believe that brands are not being fully honest about their environmental impact, say they prioritize sustainability in their purchasing decisions, and then don’t. The attitude-behavior gap in sustainable consumption is one of the most replicated findings in consumer psychology, and it’s one that the advertising industry has learned to exploit rather than address.
The sophisticated sustainability campaign is not, in this reading, designed to change behavior. It’s designed to resolve cognitive dissonance. It gives the consumer a story they can use to feel better about a choice they were going to make anyway. This is what brand purpose looks like when it completes its journey from trend to cliché: a service provided to the consumer’s rationalizing mind, not a commitment to the external world.
The implication for advertising is uncomfortable. When a sustainability campaign works — when it drives purchase, when it improves brand perception, when it tests well in consumer research — it isn’t necessarily proof that the message was believed. It might be proof that the message was useful. Those are very different things, and the industry conflates them constantly.
What Honest Sustainability Communication Would Actually Look Like
There are brands trying to do this differently. They are, in the current media environment, finding it genuinely difficult — not because honesty is strategically unsound but because the communications infrastructure, the media formats, and the creative expectations of sustainability marketing were built for the aspiration-statement, not the progress-with-context narrative.
Honest sustainability communication would look something like this: a clear statement of where you are and where you need to get to, a credible explanation of the gap and what’s causing it, a commitment to reporting on that gap consistently rather than only when the numbers are good, and — crucially — a restraint about the claims you make in advertising relative to the evidence you have for them. It would also, and this is the hard part, involve saying out loud that the company’s current business model contains tensions with its sustainability commitments that have not been resolved.
Nobody is buying a product because the company admitted to structural tension. But a consumer base that increasingly regards sustainability claims with default skepticism might find a company that skips the inspiration-poster version of sustainability and offers the complicated one considerably more credible. Trust, unlike attention, doesn’t evaporate in three seconds. The attention economy’s rules don’t apply the same way to credibility — and credibility, for a brand making sustainability claims in 2025, is the scarcest asset available.
The Insurgency Journal exists because the marketing industry keeps producing things it then has to be embarrassed about, and nobody is adequately documenting the process. If you’re the creative who has to make the greenwash campaign look beautiful, or the strategist who has to make it sound credible, or the brand manager who has to explain the gap between the ESG report and the ad: the NoBriefs shop has the vocabulary for what you’re experiencing. Wear the tension. It’s at least more honest than the campaign brief.
by Ber | May 30, 2026 | Marketing & Strategy
The campaign tanked. The numbers are in, they are bad, and somewhere between the launch party and the analytics dashboard a remarkable thing has happened: thirty-seven people who said nothing during the brief, the concept presentation, the production review, and the final approval have spontaneously developed strong opinions about what went wrong. They didn’t speak then. They speak now. Loudly. In a meeting nobody scheduled but everyone has blocked on their calendar, they will explain — with the confidence of someone who predicted this — exactly what you did wrong.
Welcome to the campaign post-mortem. The only meeting in marketing where failure produces more content than success.
How a Campaign Becomes a Corpse Worth Dissecting
Not every campaign earns a post-mortem. The ones that quietly underperform — missing targets by a respectable margin, producing data that’s defensible in a certain light, if you squint — those campaigns get a slide in the quarterly review and a line about “learnings for Q3.” They are buried with minimal ceremony.
The campaign that earns a post-mortem is a different animal. It did something visible: tanked publicly, generated complaints, confused the audience, got mocked on Twitter by someone with a modest but embarrassing following, or failed to move a KPI that someone promised the CFO it would move. These campaigns don’t get buried. They get exhumed, placed on a table, and examined by people who will describe themselves as “just trying to understand what happened” while clearly having already decided what happened.
The staging is always the same. Someone sends a calendar invite with a subject line that contains the word “learnings.” The invite goes to fifteen people, of whom maybe four were meaningfully involved in the campaign. Everyone accepts. Everyone comes prepared — though “prepared” means different things depending on where you sit in the org chart.
The Cast of Characters (In Order of Culpability They Will Assign)
The post-mortem has its dramatis personae, and they are consistent across industries, company sizes, and campaign types. You will recognize them.
The Late Stakeholder is the most dangerous figure in the room. This is the person who was sent every creative brief, every deck, every concept presentation, and every approval request — and who responded to exactly none of them, or responded with “looks good to me!” without reading past the header. They arrive at the post-mortem having now read everything, in full, retroactively, and they have notes. Their notes are devastating. The messaging was off. The targeting was too broad. The creative didn’t speak to the core audience. These are all correct observations. They were also all available to make three months ago, and were not made.
The Metrics Opportunist is the person who cherry-picks the one data point that supports their existing agenda. If they’ve been arguing for more budget for email, the post-mortem will confirm that email was the only channel that performed. If they’ve been skeptical of social, the social numbers will be front and center. The post-mortem is not, for this person, about understanding what happened. It is about winning an argument they’ve been having for six months.
The Creative Fatalist is whoever was closest to the work — the creative director, the copywriter, the designer who spent three weeks on the hero image — and who has arrived having already accepted that they will be blamed for everything. They sit quietly. They answer questions in short sentences. They are thinking about updating their LinkedIn.
The Process Evangelist hasn’t looked at the creative once. They’re going to fix this with a new briefing template. Also a new approval workflow. Also possibly an agency review. The work isn’t the problem. The process is the problem. It’s always the process. Why every brief is a lie is a different conversation, but it will be had here anyway.
The Five Stages of Campaign Post-Mortem Grief
The post-mortem follows a predictable arc, moving through emotional phases with the reliability of a rerun.
Denial occupies the first fifteen minutes, during which the data is questioned. Are we sure these are the right numbers? What’s the benchmark? Have we normalized for seasonality? Normalized for what, specifically, is unclear, but normalization is the process by which bad numbers become acceptable numbers, and everyone in the room knows this instinctively.
Bargaining follows, in which the metrics we’re measuring are themselves questioned. Reach was actually excellent. Engagement was above industry average. If we look at brand lift among the sub-segment of 28-to-34-year-olds who were already warm leads and had previously interacted with at least two brand touchpoints, performance was strong. The campaign didn’t fail at what we measured. We measured the wrong things. Which would be a valid point if the things we measured weren’t the things we said we were going to measure when we got the budget approved.
Anger is typically brief and politely disguised as “directness.” This is when someone says something like “I have to be honest, I had concerns about the concept from the beginning” — a sentence that raises the question of where exactly those concerns were documented, because the approval chain has receipts.
The Pivot to Solutions happens earlier than it should and is used to escape accountability. We don’t need to dwell on what went wrong. We need to focus on what we’re going to do differently. This is often the most effective move in the post-mortem, because it shifts the conversation from the past, where blame lives, to the future, where blame has not yet been assigned.
The Document closes the meeting. Someone will write up the learnings. The document will be detailed, thorough, and stored in a shared drive folder where it will wait, patiently, to not be consulted before the next campaign.
What Post-Mortems Actually Produce
This might sound bleak, but post-mortems do produce things. They just rarely produce the things they’re supposed to produce.
They produce protection. A good post-mortem — and “good” here means comprehensive enough to look credible while diffusing blame widely enough that no one person is clearly at fault — functions as organizational armor. It happened. We documented it. We identified learnings. We have moved on. Anyone who raises this campaign in future budget discussions can be referred to the document.
They produce precedent. The process reforms that come out of a post-mortem — new templates, new checkpoints, new review stages — don’t usually prevent the next failed campaign, but they do create infrastructure. When the next campaign fails, there will be more documentation of why it failed. This documentation will be more elaborate. The failure will be better understood. The outcome will be identical.
They produce the occasional genuine insight. This shouldn’t be discounted entirely. Sometimes, between the defensive repositioning and the metric reframing, someone says something true. The audience was wrong. The message was overcomplicated. The brief contained a contradiction that nobody resolved. These moments are real. They are worth something. They are also, statistically, not the part of the meeting that gets the most airtime.
How to Survive One With Your Career and Dignity Roughly Intact
Document everything before you walk into the room. Bring the brief. Bring the approval emails. Bring the feedback that was incorporated and the feedback that was incorporated against your advice. You are not going in to win an argument; you are going in to establish that decisions were made by multiple people with information available at the time. The post-mortem is not a court, but it has the energy of one, and evidence is your friend.
Do not, under any circumstances, perform self-flagellation in the meeting. The instinct — particularly for creatives, particularly for agency people — is to preemptively accept blame in order to control the narrative. This does not work. It accelerates the narrative. Accept what’s genuinely yours. Attribute what’s genuinely shared. Be specific.
And when it’s over, do the thing the document never covers: talk to the team that actually made the work. Not in a meeting. Over coffee, or a beer, or the NoBriefs equivalent of a debrief, which is to say, honestly and without a deck. Creative burnout often lives here, in the gap between what went wrong and what got said out loud about it.
The campaign failed. That’s real, and it matters. But the post-mortem is not the place where the failure gets understood. It’s the place where the failure gets managed. The difference is significant, and the sooner you recognize which one you’re in, the better you’ll navigate it.
Until then: if you want something that honestly measures what went wrong, as opposed to what went wrong in a way that can be defended in a slide, there’s always KPI Shark — our contribution to the project of measuring things that actually matter, in units that don’t require a footnote to explain. Your post-mortem will still happen. At least you’ll know what you’re actually post-morteming.
You know what’s worse than a failed campaign? A failed campaign that nobody learns anything from because the post-mortem became a performance. Join the insurgency at nobriefsclub.com.
by Ber | May 29, 2026 | Marketing & Strategy
At some point in the past decade, someone in a content strategy meeting made a discovery so convenient it immediately became doctrine: your audience will make your content for you. All you have to do is ask. And maybe offer a hashtag. And possibly a small incentive. And definitely feature the best submissions on your official channels in a way that provides you with polished, on-brand, high-volume content at a fraction of the production cost.
This discovery was quickly renamed “community building,” filed under “authentic marketing,” and distributed across the industry via conference talks, think pieces, and agency decks until it became one of those things everyone claims to believe while privately acknowledging makes very little sense. User-generated content as a strategy. UGC as the future of brand communication. The crowd as creative department.
Let’s talk about what this actually is.
The Cost Efficiency They Don’t Mention in the Case Study
UGC strategy, stripped of its community language, is fundamentally a cost transfer. You are moving the cost of content creation from the brand’s marketing budget to the unpaid labor of people who like your product enough to create content about it. This is not inherently evil — there are contexts where it’s genuinely symbiotic — but it is worth being honest about what you’re describing before you call it a philosophy.
The economics are straightforward: professional content costs money. A good photographer, a decent production day, a copywriter who actually understands your brand voice — these things have market rates, and the rates are not trivial. User content costs the brand approximately nothing, or, in the more elaborate incentive structures, a discount code and the possibility of being featured. The cost of a reshared post is essentially zero. The cost of a hashtag campaign is the hashtag.
This is the part of the business case that gets presented to the CMO. The part that gets presented to the trade press is “we want to celebrate our community” and “authentic voices matter” and “our customers are our best brand ambassadors.” Both framings are simultaneously true. Only one of them is the actual reason this became a standard practice across the industry.
The data-driven creativity conversation keeps circling the same issue: brands optimize for the metrics that are easy to measure and cost-effective to achieve, then build narratives about authenticity around the outcome.
Authenticity, Defined as Whatever We Didn’t Have to Pay For
There is a fascinating semantic shift buried inside UGC strategy, which is the redefinition of “authenticity” to mean “content produced by non-professionals using their phone.” This definition has become so dominant that it has nearly displaced the original meaning, which was something like “genuinely expressing something true about your relationship with the product or the world.”
Authenticity, in the UGC context, is not actually about truth. It is about aesthetic. Slightly shaky footage is authentic. Professional lighting is not. A customer’s bathroom as background is authentic. A studio set is not. The tell of real UGC is the production quality — or rather, the absence of it — because what the brand is signaling is “this was not made by us, therefore it is real.”
The logical endpoint of this is that brands now hire people to make content that looks like it was not made by the brand. Paid creators are briefed to produce “authentic-feeling” content. Production teams are instructed to avoid production values. The fakeness is engineered to look like the absence of fakeness. What started as “let’s use real customer content because it’s real” has evolved into “let’s pay professionals to simulate being real customers.”
This is not a criticism of the creators doing this work. It is an observation about the structural absurdity of an authenticity economy that has optimized itself into producing authenticity as a performance category.
The Creative Brief for Creativity Without a Brief
Here is where the UGC strategy contains a quiet contradiction: it asks people to create freely while constraining them heavily. The hashtag is a brief. The campaign theme is a brief. The feature selection criteria is a brief, communicated in reverse — by showing which content gets elevated, the brand is teaching its audience what to produce. The community learns what the algorithm rewards and optimizes for it, which means the most active UGC contributors are not expressing themselves freely; they are reverse-engineering brand preferences and producing content that meets unstated specifications.
This is not authenticity. This is an extremely efficient, unpaid creative production system. The contributors are, in effect, freelancers who haven’t negotiated terms.
The most sophisticated version of this dynamic is the brand that has built a large creator community and now has access to enormous volume of on-trend, category-relevant content produced by people who are genuinely enthusiastic about the product. This is real. The enthusiasm is real. The content is technically real. But it is also a creative infrastructure the brand did not pay to build in any conventional sense, maintained by people who are investing their time and creativity in exchange for visibility and the possibility of attention.
There is a version of this that is genuinely fair. There is a version that exploits the aspirations of people who want to become creators. Frequently, in practice, they are the same program.
What Gets Lost When the Brand Stops Making Things
There is a specific kind of creative atrophy that happens to brands that outsource their content production too thoroughly. It’s subtle at first. The in-house creative team shrinks because the brand “has a community of creators.” The brand voice document gets less specific because the content is coming from hundreds of different people with hundreds of different styles. The visual identity loosens because you can’t enforce brand guidelines on organic content without destroying the authenticity you came for. The strategic narrative gets thinner because narrative requires authorship, and you’ve distributed authorship across a crowd.
After a few years of this, you have a brand that has a lot of content and a diminished capacity to say anything coherent with it. You have volume without direction. Presence without point of view. Engagement metrics that look healthy in a social media report that nobody understands and a brand that has gradually become whatever its most active creators chose to make it.
This is not theoretical. This is observable in the brand trajectories of companies that bet heavily on community content at the expense of editorial control. They become mirrors of their most enthusiastic users rather than protagonists of their own story. The brand stops leading the culture around its category and starts following — at a slight distance, hashtagging its way behind.
The Honest Version of This Strategy
Here is what an honest UGC strategy document would say: we want to reduce content production costs while maintaining volume. We believe our customers are capable of creating content that serves our marketing needs. We will develop incentive structures that motivate this creation and curation systems that ensure the content meets minimum quality and brand alignment standards. We will be transparent with creators about how their content is used and what they receive in exchange.
This is a reasonable business strategy. It is not a philosophy of community. It is not a revolution in authentic marketing. It is cost management with a social media interface.
Calling it something else doesn’t make it something else. It makes it a case study about authenticity that is, structurally, its own best example of inauthenticity. The brands that do UGC well are the ones that are honest about the exchange, generous in how they recognize and compensate their creators, and careful about maintaining their own editorial voice alongside the community content. They don’t pretend to be a community when they’re a marketing channel.
This requires more effort, more honesty, and more genuine commitment than posting a hashtag and waiting for the free content to arrive. Which is probably why it’s less common than the version where a brand studies the creator economy from a distance and decides to extract its value without doing the work that creates it.
The creative industry could use more people who are willing to call the strategy by its actual name. That’s what the Spreadsheet Sloth is for — the honest accounting of what’s actually happening, presented without the narrative dressing. NoBriefs Club: for when you’re done being sold authenticity by brands that outsourced it.
by Ber | May 27, 2026 | Marketing & Strategy
Somewhere in your organization’s strategy deck — probably around slide seven, just after the market opportunity slide and just before the competitive positioning matrix — there is a statement. It may say “customer-centric” or “audience-first” or “human-centered.” It may be accompanied by a circle diagram, the kind where everything radiates outward from a smiling silhouette in the middle. The silhouette is the customer. Everything else in the diagram serves the customer. The customer is the point.
The strategy was built in a two-day offsite attended exclusively by internal stakeholders. Nobody called a customer. Nobody read a single support ticket. The NPS scores were cited in aggregate, once, by the head of CX, and then everyone moved on to the segmentation framework.
This is the customer-first strategy. The one built entirely without customers.
How It Happens (And Why It Keeps Happening)
The customer-first strategy is not born from cynicism, which is what makes it so persistent. It’s born from a combination of time pressure, organizational hierarchy, and the quiet confidence that comes from spending years in an industry until you believe you understand it without needing to check. The strategy gets written by senior people who were, at some point, closer to customers, and who have since ascended to a level where customers are represented in dashboards rather than conversations. The dashboards are real. The customers are theoretical.
Research is conducted, technically. There is usually a consumer study from eighteen months ago, a segmentation exercise that divided the audience into four archetypes with names like “The Ambitious Achiever,” and a focus group report that was summarized in a two-page executive brief and then filed somewhere nobody can find it. This constitutes the customer voice. It is cited in the strategy document as “proprietary insights.” It is, in practice, a vague approximation of a real person’s actual concerns, filtered through three layers of interpretation and optimized for legibility to a C-suite audience.
The content strategy that looks great in the deck and the customer strategy that looks great in the deck share this feature: they are both built for the room where they will be presented, not for the people they claim to serve.
The Customer Who Lives in the Strategy Document
One of the most revealing things you can do with a “customer-first” strategy is examine the customer it describes. She — and it is almost always she, mid-thirties, digitally native but not tech-obsessed, values authenticity, makes considered purchase decisions — is a composite constructed from quantitative data, qualitative assumptions, and whatever felt right in the room. She is coherent. She is compelling. She does not exist as a single individual anywhere on earth.
This is the persona problem, and it goes deeper than bad research. The persona exists to make the strategy feel grounded without requiring actual grounding. She gives the room someone to point to when making decisions. “Would Jennifer find this relevant?” Jennifer, who was invented during a workshop, who has never complained about anything, who has the exact preferences that make the strategy work. Jennifer is the customer the strategy was built for. Jennifer is a fiction that everyone has agreed to treat as fact.
Real customers are inconveniently specific. They have contradictory preferences. They don’t know what they want until they see it, and then they’re not sure, and then they change their minds. They complain about things you didn’t anticipate and ignore features you spent months building. They are, in short, human — which is exactly why strategies built around them tend to become strategies built around projections of them instead.
The Metrics That Measure Everything Except Understanding
Customer-first organizations are typically very good at measuring customer behavior. They have dashboards full of it. Click-through rates, conversion funnels, churn curves, cohort analyses, lifetime value projections. They know what customers do. They have almost no idea why.
This is not an accident. Behavioral data is cheap to collect, easy to report, and satisfying to look at. It produces the kind of metrics that make leadership feel in control — numbers that go up or down in response to interventions, proving that the strategy is working or at least moving. Qualitative understanding — the kind that comes from listening to customers talk about their actual lives — is expensive, messy, and produces insights that resist being put in a bar chart. So it doesn’t get prioritized. It gets replaced with survey scores that are reported as “Voice of Customer” and used to justify decisions that were already made.
The NPS score is the apotheosis of this dynamic. It reduces a complex, multifaceted customer relationship to a single number on a scale of zero to ten, then tracks that number quarter over quarter as though it contains actionable information. It occasionally does. More often, it tells you that customers scored you a seven, which means they’re passively satisfied, which means you have a problem, which means you need more research, which will produce another NPS score in six months. In the meantime, the “customer-first” strategy remains unchanged.
What Talking to Customers Actually Looks Like
It looks like a thirty-minute call with someone who bought your product or didn’t. It looks like reading the last fifty support tickets without filtering for the positive ones. It looks like a moderated session where you watch someone try to use your product and you write down the moments where they hesitate or frown. It looks like the comment section of a negative review, treated as a research instrument rather than a threat to be managed.
None of this is exotic. None of it requires a budget line or a specialized agency. It requires, mostly, the willingness to hear things that complicate the strategy — which is precisely why it doesn’t happen. Strategies are not built to be complicated. They are built to be presented. The customer who doesn’t fit the persona is a threat to the presentation. The customer who confirms it is invited to be a case study.
The uncomfortable truth is that most “customer-first” strategies are stakeholder-first strategies with better branding. They optimize for internal alignment, leadership approval, and the kind of narrative coherence that plays well in a boardroom. The customer in the middle of the circle diagram is decorative. She makes the strategy feel purposeful. She has no actual input into it.
The Fix Nobody Wants to Schedule
Building a strategy that is genuinely responsive to customers requires institutional structures that most organizations don’t have: regular, direct channels between decision-makers and real users; research functions that aren’t subordinate to marketing; the organizational courage to act on findings that contradict existing plans. These things exist. They are not common. They are not common because they require slowing down a process that rewards speed, and because they occasionally produce conclusions that require scrapping work that has already been done.
Which brings us, predictably, back to the hotel conference room, the circle diagram, and the slide that says “customer-first” in a font that cost $4,000 to license. The strategy looks good. Jennifer looks great. Nobody called a customer. The offsite ended on time.
If you’re building something and you’d like it to reflect how actual humans behave rather than how we wish they did, NoBriefs exists for exactly that reason. The Spreadsheet Sloth, in particular, was designed for the kind of person who is tired of tracking metrics that mean nothing. Sometimes the best strategic tool is the one that asks you to stop and think.
by Ber | May 26, 2026 | Marketing & Strategy
For four years, the advertising industry talked about the cookieless future like a scheduled apocalypse. There were conference tracks dedicated to it. There were whitepapers. There were panels at Cannes with titles like “Navigating the Privacy-First Landscape” where people in expensive shoes discussed first-party data strategies with the urgency of people who had already figured it out and the vagueness of people who had absolutely not.
The future they were preparing for is now largely the present. And the plan — the comprehensive, industry-wide plan that four years of earnest conversation was supposed to produce — is somewhere between “nascent” and “fictional.” What we have instead is a collection of workarounds, a great deal of confidence in concepts that haven’t been tested at scale, and an attention economy that is doing what it has always done: charging forward without knowing who it’s charging toward.
What We Were Promised and What We Got
The narrative was straightforward: third-party cookies die, privacy becomes the default, and the industry responds by building better, more consensual, more meaningful relationships with consumers. First-party data would replace surveillance. Contextual advertising would make a comeback. Clean rooms would clean everything up. The consumer would be better served. The advertiser would be better informed. Everybody wins.
Here is what actually happened. First-party data is real and valuable and also extremely hard to build, particularly for brands that do not have a strong reason for consumers to hand over their information voluntarily. The brands that are doing this well are the ones that already had strong products, strong loyalty programs, and strong reasons for consumers to engage directly. For everyone else, “building a first-party data strategy” has meant collecting email addresses via pop-ups with aggressive opt-in copy and calling it a database.
Contextual advertising is back, yes. It is also still contextual advertising, which means that the ceiling of sophistication is roughly 2009. Showing running shoe ads next to marathon training content is not revolutionary. It is the original premise of media buying, rediscovered. The tech stack is more sophisticated. The insight is not.
The Clean Room Problem: Technical Solution, Business Question
Data clean rooms are genuinely interesting technology. The principle is elegant: two parties can compare and match their data without directly sharing it, enabling targeting and measurement without exposing raw data to either side. In theory, this solves the privacy problem while preserving the targeting capability.
In practice, clean rooms require both parties to have substantial, high-quality data; technical infrastructure to participate in the matching; a legal framework that satisfies multiple privacy regimes simultaneously; and a business relationship that makes the collaboration worthwhile. Most brands have one of these things. The largest retailers and the biggest platforms have all of them. Everybody else is watching a partnership model develop between entities that don’t need them.
The clean room conversation is, at its core, a conversation about the consolidation of advertising power into fewer, larger ecosystems. Amazon, Google, Meta — the walled gardens did not shrink in the cookieless era. They grew more valuable. Their first-party data became the thing everyone else was trying to approximate. The attention economy didn’t democratize. It concentrated.
Measurement: The Thing Nobody Has Actually Solved
Attribution was already broken before cookies became complicated. The multi-touch models were confusing correlation with causation in ways that made everyone feel better about their spend without necessarily understanding it. Last-click attribution was a known fraud that the industry continued to use because it gave clean numbers and clean numbers make good slides.
What has replaced these broken models is largely a collection of probabilistic approaches — media mix modeling, incrementality testing, brand lift studies — that are more honest about what they don’t know but significantly harder to operationalize at the pace marketing departments move. MMM requires months of data and specialized analytical capability. Incrementality testing requires experimental discipline. Brand lift studies measure something real but measure it slowly.
The result is that marketing measurement, in the cookieless era, has split into two camps: the sophisticated brands that have invested in econometric modeling and are operating with a genuinely more honest picture of their marketing effectiveness, and everyone else, who is largely optimizing toward platform-reported metrics that have the epistemological status of a grade given by the teacher whose class you’re in. The ego KPIs didn’t disappear. They just got new names.
What the Conferences Got Wrong
The cookieless future was discussed, for years, primarily as a technical problem. The technical problems are real but they were always secondary to the business problem, which is this: advertising works, to the degree that it works, because of relevance. Relevance requires knowing something about the person you’re talking to. The cookie era produced relevance at scale — imperfectly, with significant privacy costs, and with a measurement apparatus that frequently measured the wrong things — but it produced it.
The replacement infrastructure produces relevance at reduced scale, at higher cost, with greater complexity, and for brands that have the resources to invest in building it. The industry’s answer to the death of the third-party cookie has been, broadly, to make targeting and measurement more expensive and more proprietary. This is not what the conferences promised. The conferences promised a better relationship between brands and consumers. What materialized was a better relationship between brands and platforms, on the platform’s terms.
None of this was said at the panels. The panels featured case studies from brands that had done it well, which is the conference industry’s mechanism for suggesting that anyone can do it well if they simply follow the example. The storytelling was excellent. The strategy was someone else’s.
Where We Actually Are
The advertising ecosystem is messier, more fragmented, and less measurable than it was five years ago. It is also, arguably, more honest — the surveillance infrastructure that powered a decade of “personalization” was always more fragile and more ethically questionable than the industry acknowledged. The cookieless reckoning has forced a genuine conversation about what advertising is actually for and what it can actually know.
The brands winning in this environment are not the ones that found a technical solution to replicate what cookies did. They are the ones that decided to be interesting enough, useful enough, and trusted enough that consumers choose to engage with them directly. This is not a data strategy. It is a brand strategy. It requires patience, product, and a willingness to measure success over longer time horizons than a quarterly campaign report allows.
It also requires being comfortable with not knowing exactly where every conversion came from. Which is, honestly, where we always were. The cookies just gave us the comfortable illusion of precision.
If you’re building a brand in an era when nobody knows who they’re talking to, the only durable answer is to be worth talking to. That’s the whole brief. If you need something to remind you of that while everyone else debates tech stacks, the NoBriefs shop has the Spreadsheet Sloth for the meetings where the numbers are confident and the strategy is not. Wear it with the quiet dignity of someone who has read the MMM report and understood it.
Also worth reading: The Brief of the Future: Will It Disappear with Generative AI? and Data-Driven Creativity: The Oxymoron Running the Industry.
