Playbook · Marketing that works

Paid media as a creative test lab

How a luxury cycling brand kept its loyal performance audience and won a younger one, using paid campaigns to test creative and judging on resonance, not return.

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First presented at Dagorà Lifestyle Innovation Day in May 2025 with the brand’s marketing lead. The brand asked not to be named here, so it isn’t. See the talk, Dagorà Lifestyle Innovation Day 2025, 19 May 2025.

The short version

  1. The brief: keep a fiercely loyal, performance-obsessed customer base and attract a younger, more progressive one, without the first group noticing a change they would hate.
  2. The old model was a top-down content calendar and one brand voice. The new one was weekly creative drops tested through paid media, with the metric set to resonance rather than sales.
  3. Cheapest cost per thousand impressions is the honest signal: the platform charges less for creative people react to. Use that to find the message before you spend on reach.
  4. Creators were chosen for alignment, not follower counts, and co-created the work rather than being handed a brief. One run delivered 500,000 organic impressions and 2,500 new engaged followers.
  5. Heritage wasn’t sacrificed. The core audience kept the performance-first tone. Creative diverged only where it was strategically needed, and the brand didn’t break.

Luxury is about consistency. Culture is about change. The brief we were handed was to build a brand fluent in both, and the two audiences involved wanted opposite things.

The brand is a Swiss performance cycling label with a long heritage and a customer base that is loyal to the point of being territorial. Those customers did not want change. The brand also needed a younger, more progressive customer it had never really spoken to, and that customer wouldn’t come without change. Retain one, attract the other, lose credibility with neither. Any CMO who has tried to do this knows it is elegant to describe and brutal to execute.

This is how we did it, and what I’d tell anyone with the same problem.

The mindset shift before the work

The existing audience didn’t want change. The new audience wouldn’t come without it. There is no creative brief that resolves that, because the answer isn’t a campaign, it’s a process.

So we replaced assumption with experimentation. Test everything, be analytical about it, learn fast, and scale what resonates. Written down that sounds like every agency deck ever produced. The difference is what we tested on, which was paid media, and what we measured, which was not sales.

The framework we worked to had 5 parts, and I’d keep all of them.

  1. Identify the segments and what they value. The new audience was defined by values and life, not demographics.
  2. Define creative hypotheses. Reels, stills, carousels, each carrying a specific guess about what the new audience would respond to.
  3. Experiment through feedback loops, using paid mechanics to put each hypothesis in front of the right people quickly.
  4. Amplify what works, not what’s loud. Repeat.
  5. Leave what doesn’t behind. Don’t repeat.

Number 5 is the one organisations find hardest. A piece of content somebody senior loved, that tested badly, still has to go.

Rebuilding the content engine

The old model was a top-down content calendar. Decide in January what the brand will say in June, produce it, publish it, hope. One brand voice, applied to everyone.

We stopped asking “what should we say?” and started asking “what are they reacting to?”

In practice that meant weekly creative drops rather than quarterly campaigns. Structured feedback from the metrics that show real reaction, which are saves, direct messages and comments, rather than likes. And fast iteration: what worked this week shapes what we make next week, not next quarter. The brand’s own marketing lead rebuilt the internal process to support that cadence, which is the part agencies tend to skip over when they present the results.

Here is the part that I think is genuinely useful beyond cycling.

We used paid campaigns to test message and aesthetic. The metric wasn’t return on ad spend. It was resonance.

The mechanism is simple once you see it. The platforms charge less to show people content they respond to, because responsive content keeps users on the platform. Run 6 pieces of creative with the same targeting and the same budget and they come back with 6 different costs per thousand impressions. The cheapest one is the one the audience is telling you it prefers. It is the fastest honest feedback a brand can buy, and it costs a fraction of a campaign.

The combinations with the cheapest costs per thousand became the ones we used to drive new awareness at scale. Paid stopped being a performance channel and became the insight function. The sales still happened, but they were the result of the test, not its purpose.

Two things to say about this. One, it only works if you are disciplined about holding targeting and budget constant, otherwise you’re measuring the media buy, not the creative. Two, it changes the conversation with finance, because a campaign that “lost money” might have found the message that made the next 3 campaigns work, and you need a way to say that before the review rather than after.

Creators as participants, not adverts

The new audience was not going to arrive through the brand’s own voice, however well tested. It needed voices that already belonged to that audience.

We introduced real creators, not influencers, and the distinction matters. UK-based female cyclists, chosen for alignment with the audience we wanted rather than for reach. Not millions of followers. People whose life on a bike looked like the life of the customer we were trying to reach.

They weren’t promoting. They were participating. The storytelling was co-created rather than handed down in a templated brief, which meant it sometimes went places the brand wouldn’t have chosen and that was the point.

One creator run produced more than 500,000 organic impressions, more than 2,500 new engaged followers, a revenue uplift and a spike in site activity. The comment sentiment was curiosity and admiration with conversion signals in it. One comment said: “This is the first time a cycling brand felt like me.”

That line is the whole case. Emotional resonance showed up as commercial impact, in that order.

The weekly rhythm, if you want to copy it

Monday, look at last week’s numbers: cost per thousand by creative, saves, comments, shares, and the direct messages the social team logged. Decide which 2 or 3 hypotheses survived.

Tuesday to Thursday, make the next drop. Three to six pieces, each a variation on something that survived or a fresh guess at something the segment might value. Keep production light, because most of it will be discarded and expensive content is hard to kill.

Friday, the drop goes into paid with targeting and budget held constant across every piece, so the only variable is the creative. Small spend. Enough impressions to read a cost per thousand with confidence, not enough to matter if the whole drop fails.

Then the following Monday you do it again. After about 8 weeks the pattern is hard to miss, and the pieces that keep winning become the awareness campaign, with real budget behind them, to the new audience only.

The core audience sees the proven work later, or not at all, depending on whether it fits them. That is the whole protection mechanism and it costs nothing but discipline.

Protecting the core

None of this would have been worth doing if the loyal customers had noticed and left.

Heritage wasn’t sacrificed. It was strengthened by being recontextualised. The legacy creative was evolved rather than erased. The performance-first tone was kept for the core audience, who kept seeing the brand they loved. Creative divergence was applied only where it was strategically needed, which meant the new-audience work ran in paid to the new audience, and the core saw almost none of it until it had been proven.

We didn’t break the brand. The marketing lead would tell you that the brand’s own people were the harder audience to carry than the customers, and I’d agree.

What changed

Before and after, in one view.

  • From a top-down content calendar, to control-group testing through paid ads.
  • From a single brand voice, to multi-dimensional storytelling with creators carrying part of it.
  • From assumption, to insight.

The outputs got better. The process change is what made them better, and it’s the process that transfers to any brand with the same tension.

What I’d tell every CMO in the room

Test the emotions, not just the formats. Feedback is your new influence, and the audience will tell you what they want if you build the loop to hear it. Creators aren’t shortcuts, they are strategic voices, and choosing them for reach is how you end up with expensive content nobody believes. If you aren’t iterating, you’re stagnating, however good the brand book is.

And the one I’d put on the wall: data doesn’t kill creativity. It sharpens it. Every creative director who has watched a piece they didn’t rate come back with the cheapest cost per thousand on the account has learned something they couldn’t have learned in a room.

The brand didn’t abandon its past. It future-proofed its relevance. That isn’t rebranding. It’s reinvention, done in weekly increments, with the audience voting on every one.

Questions people ask

What does it mean to use paid media as a test lab?
You run small paid campaigns whose purpose is to learn, not to sell. Each ad carries a creative hypothesis, a message, a format, a face. The platform tells you within days which ones people react to, through cost per thousand impressions, saves, comments and shares. You then put real money behind the winners. The campaign is the research.
Why is cost per thousand impressions a creative signal?
Meta and the others charge less to show content their users respond to, because responsive content keeps people on the platform. So two ads with the same targeting and budget will come back with different costs per thousand, and the cheaper one is the one the audience is telling you it prefers. It is the fastest honest feedback a brand gets.
How do you pick creators without chasing reach?
Start from the audience you want, not the follower count. We looked for real cyclists whose life matched the new customer we were trying to reach, with modest followings and a clear point of view. They participated in the brand rather than promoting it, and the content was co-created rather than briefed. The reach came afterwards, from the content being right.
How do you protect a heritage brand while chasing a new audience?
Evolve the legacy creative rather than erase it, keep the performance-first tone for the core audience, and allow creative to diverge only where the strategy needs it. Test the new work in paid first so the core audience isn’t the test bed. If the loyal customers never see an ad that feels wrong to them, the brand hasn’t changed as far as they’re concerned.