You're Making More Ads Than Ever. So Why Is Performance Getting Worse?

I've been digging into a recent episode of DTC Diaries featuring Alex Gough-Cooper, founder of Parker and a creative strategy consultant who works with some of the faster-scaling DTC brands in the UK and US. A lot of what he shared confirmed things I've been watching play out across ad accounts for months. But some of it genuinely reframed how I think about creative production in 2026.

If you're a brand running paid social and you've watched your creative performance plateau or decline while you've been producing more content, this is worth your time.

The Real Problem Isn't Volume. It's Intent.

Here's a line that stuck with me from the conversation: "There are so many brands that are making more ads than ever, but their performance is worse than ever because it's volume without intent."

That's the trap. A lot of teams I talk to conflate output with strategy. They hit their weekly ad quota, feel productive, and then wonder why the numbers aren't moving. But churning out 40 variations of essentially the same concept, targeting the same persona, with the same emotional framing, isn't diversification. It's confirmation bias dressed up as creative testing.

Alex walked through an actual case study: a brand they took on at under a million in ARR that scaled to around $40-45 million. The creative engine? One winning script concept, executed across formats: AI animation, authority figure, podcast style, founder-led. Not a hundred different ideas. One idea, expressed intelligently through different vehicles for different audiences.

That should make you rethink what "volume" actually means.

The Feed Has Changed. Most Brands Haven't Noticed.

One of the macro shifts Alex called out is how much more hyper-relevant the Meta feed has become over the last 12 months. It's no longer demographic-level targeting in any meaningful sense. The algorithm is moving toward what he described as micro-persona delivery: matching people to content based on psychological intent and behavioral patterns, not just broad audience buckets.

The implication is that persona-level creative, content actually designed for a specific person in a specific mindset, has gone from a nice-to-have to table stakes. Generic ads that try to appeal to everyone are getting punished harder than ever because the feed now has the intelligence to show them to the exact people least likely to respond.

Persona analysis, journey mapping, creative consumption analysis. These things aren't nice to have anymore. They're absolute necessities if you want to make ads that convert.

What does this mean practically? It means your creative brief needs to start with a specific human, not a product. Who is this person? What does their organic feed actually look like? What emotional state are they in when they see your ad? What content format do they trust?

AI Video Is No Longer Experimental. It's a Creative Layer.

When Alex was last on DTC Diaries, AI animation was barely a usable format. Now, according to his team, it's "genuinely competing and sometimes outperforming real human creators." That's not hype. I've seen the same pattern across multiple ad accounts.

The framework that's emerging is a four-layer creative stack:

The reason AI animation isn't just a trend is interesting. Alex referenced a point about why cartoons are such an effective learning format: we process stories and messages more easily through animated visuals than through a human talking head. That's not a new insight, it's the entire logic behind explainer video, but applying it to direct response advertising is still relatively underexplored.

What the better teams are doing is building characters and persistent visual worlds around a brand within the animation format, rather than one-off concept executions. That matters for efficiency too. If you create a clay character for your brand and run it across 15 different scenes, you've saved yourself the token cost and production time of generating 15 separate visual concepts from scratch.

Yapper Ads: The Format Most Brands Are Getting Wrong

The shift toward what the DTC world is calling "yapper ads," unscripted or lightly scripted, creator-led content that mimics organic video, is real. But most brands are executing it badly.

The problem Alex identified is that brands hear "make ugly ads" and then make something in the middle: overproduced enough that it feels fake, but not polished enough to feel like intentional storytelling. That middle ground is where ad performance goes to die.

Authentic, in the context of a yapper ad, means something very specific: it should feel indistinguishable from what your target persona would naturally encounter on their organic feed. And that looks completely different depending on who you're talking to.

• A 22-year-old consumer seeing a supplement ad: someone in a gym, bad lighting, no captions, talking directly to camera
• A 45-year-old professional seeing a financial product: polished but unstaged, maybe in a home office, conversational not performative
• A luxury consumer: effortless, aspirational setting, zero hard sell, not "ugly" in any conventional sense

The brief advice Alex gives his creator team is instructive here. For yapper ads, they don't hand over a full script. They provide five hook variations and a set of talking points. Then they let the creator fill the gaps in their own voice. The less rigid the brief, the more the final product sounds like an actual person and not a brand trying to sound like an actual person.

The other underrated piece: creator sourcing. If your brief is great but your creator pool is three people who aren't genuinely relatable to your target persona, the format won't work. Alex's team runs a two-person sourcing operation whose only job is scrolling platforms to find and recruit creators who are naturally good at yapper-style content. They test hundreds. The ones that convert graduate into retained creator relationships.

Pattern Recognition Over Production: Using AI in Strategy

One of the most practical ideas from this conversation was using AI not for execution, but for analysis. Specifically, running your existing ad account creative through a tool that can identify which psychological messaging zones you're actually speaking to, and where the gaps are.

Alex's team built a report that downloads video transcripts from an ad account and buckets the messaging into emotional categories: fear-based, aspirational, problem-aware, after-state, and so on. The finding, consistently, is that most brands are speaking almost exclusively to fear and shame, because that's the easiest emotional trigger to write to, and it's completely saturated.

Pattern recognition at scale is probably one of my favourite use cases for AI in strategy. Map all your creative across a matrix, then look for where the underserved personas or emotional zones are. You can find a way bigger unlock through that than by setting up a workflow that churns out 250 ads a week.

You can run a basic version of this yourself. Take the last 30 ads your team has produced. Read the scripts. Ask honestly: what emotion is this ad trying to trigger? Organise them in a simple table:

If you fill in that table honestly for your last month of creative, the pattern usually becomes obvious fast. Most brands are running 80% of their creative into one persona at one awareness level with one emotional tone. The fix isn't more volume. It's filling the empty cells.

The Iteration Debate: What Actually Changed After Andromeda

There's been a lot of noise in the DTC community since Meta updated its Andromeda creative ranking system about whether iterations are still worth doing. Alex's position is nuanced and I think correct: iterations absolutely still work, they just need to be meaningful.

The old iteration playbook of changing a text overlay or swapping one B-roll clip doesn't move the needle anymore. What does work is changing the DNA of the ad while keeping the core concept intact. Different emotional framing. Different format. Different visual environment. Different hook mechanism.

There's also a smart persona-expansion play here. Once you have a winning script framework, don't just iterate on the format. Take the same structural logic, adjust the hook and a few key lines to target a different persona, and run it fresh. Alex described doing this for a brand where every time they applied a proven framework to a new persona, it became a top spender. The reason is simple: the message mechanics are validated. You're only changing the lens.

Positive Framing: The Macro Creative Trend Nobody Is Acting On

This is the part of the conversation I found most interesting from a forward-looking perspective. The case being made is that fear, shame, and problem agitation have become so saturated as creative mechanisms that they're losing effectiveness, and there's a macro cultural appetite for something different.

The data supports this directionally. When you run creative audits across most ad accounts, fear-based and shame-based messaging is almost always the overrepresented emotional category. It's the easiest tone to write in, and it does work. But when it's what everyone is doing, it stops cutting through.

The alternative isn't naive positivity. It's shifting the frame from "here's the problem you have" to "here's who you become on the other side." Ideal-self framing. After-state storytelling. The emotional center of gravity moves from anxiety to aspiration, without losing specificity or persuasive urgency.

Practically, this shows up in two ways:

• Script structure: Spend less time sitting in the problem and more time making the after-state feel vivid and achievable. The hook can still reference the problem, but the emotional payoff lives in the transformation.
• Visual language: Show the person after, not the product. If you're selling a fitness supplement, don't open on a body that needs fixing. Open on a version of the viewer's best self doing something they want to do.

Complexity Bias Is Killing Your Messaging

One final thing that came up in the conversation that I think is chronically underrated: brands speak at a reading level that's way above where it needs to be.

When you're close to a product or a problem space, you start to assume your audience shares your vocabulary. They don't. The person scrolling Instagram at 9pm, half-watching TV, doesn't know what "visceral fat" means. They don't want to decode jargon. They need to know in the first two seconds whether this thing is relevant to them, in language they already use about themselves.

The test is simple. Take your script and paste it into Claude or any LLM and ask it to rewrite for a 14-year-old reading level. Then compare the two. The simpler version will almost always perform better on cold audiences because it removes the cognitive friction that makes people scroll past.

Visual metaphors are the other tool here. If you're explaining something complex, show it. A gut health concept becomes immediately graspable when you see a jug of water pouring out through holes rather than reading three sentences about intestinal permeability. The visual does the explanatory work in a fraction of the time, and it sticks better.

What to Actually Do With All This

If I were advising a brand running paid social today, here's where I'd start based on everything above:

• Run a creative audit across your last 30-60 days of ads. Map every piece of creative to a persona, an emotional zone, and an awareness level. Find the gaps.
• Identify your one or two best-performing frameworks. Apply those to a new persona before creating anything net new.
• Build a creator sourcing process, even a simple one. Don't rely on the same three people for yapper content. Breadth in creators is breadth in audience reach.
• Add AI animation as a deliberate creative layer, with a specialist producing it, not as a side project for an existing editor.
• Do at least some manual research for new brand projects. Scrape Reddit, yes. But also read the threads. The context around a mention tells you more than the mention itself.
• Run a reading-age test on your top scripts. Simplify anything above a Grade 8 level for cold audiences.

None of this is complicated. Most of it is just doing the foundational work that gets skipped when teams are sprinting toward a weekly ad quota. The brands winning in 2026 aren't necessarily making more ads. They're making better decisions about which ads to make, and why.