Apr 23

Radio Head of Digital: The T-Shaped Profile That Works

By Alexis Hue Head of Digital

A concept worth dusting off

Back in the early 2010s, a handful of marketing blogs started talking about the T‑shaped profile. The idea was simple enough: you want someone with broad knowledge across a lot of disciplines (enough to collaborate with specialists and see how everything connects), combined with real depth in one specific area where they can actually deliver value. HubSpot wrote about it, McKinsey consultants picked it up, and growth teams built hiring frameworks around it. It caught on because it was honest about what modern cross‑functional work really requires: pure specialists tend to struggle the moment they have to collaborate, and pure generalists rarely deliver anything memorable.

Fifteen years later, the idea still holds up. And it applies remarkably well to one of the most underrated roles in radio right now, which is the Head of Digital.

A quick sidebar on the shape itself. Since the T‑model first appeared, it’s been extended in various ways. A V describes someone with two strong verticals, usually a more senior profile who’s had time to grow a second area of depth. A comb refers to three or more verticals with the broad horizontal across the top, which tends to describe experienced operators who’ve run teams across multiple disciplines for many years. If you’re already a V or a comb, you can skip the rest of this piece. For most Heads of Digital in radio, the T is where you start.

Why the Head of Digital role is harder than it looks

Let me say this upfront, because I know how it sounds: the Head of Digital at a radio station is one of the most complex digital jobs out there. I’m not trying to flatter anyone. I’ve watched people come into this role from radio, digital‑native media, or even tech companies, and almost all of them underestimate the complexity before they arrive.

In a tech company or a digital‑first media brand, the environment works with you. The product is digital by design, the culture is built around metrics and iteration, and everyone pulls roughly in the same direction. The person, whatever their title is called internally, can pick a slice of the value chain and go deep on it.

At a radio station, the situation is different. You’re running a digital layer on top of a broadcast medium that has its own gravity. Decades of editorial habits, producer instincts, and processes built long before podcasts existed. Sometimes broadcast and digital pull in the same direction. Often they don’t.

And while you’re navigating that, you’re also managing your own app, website, social media channels, Spotify, Apple Podcasts, YouTube, Amazon Music, smart speakers, etc. Every one of those has its own logic, its own algorithm, and its own way of telling you whether you’re winning or losing.

The KPIs don’t translate either. Broadcast audience is mostly declarative and remains a vague estimation released every quarter at best, while you are looking at why listeners drop off at minute 6 of a given show or why your app’s weekly active users have been flat for six months.

Then there are the internal politics. You have to convince a producer with twenty years of craft that the thumbnail matters or that the episode title affects discoverability. That a 50% ad render rate is a real problem, not a technical detail that someone should look at next quarter.

Mastering the full digital value chain in radio is genuinely complex. The T‑shape isn’t a nice‑to‑have framework here. It’s close to the minimum you need to survive in the role.

The horizontal bar: 14 skills to cover

Not every skill needs the same depth, which is why I find it useful to split them into three levels.

Base means you understand the concept, can have an informed conversation about it, and can spot when something is going wrong. You’re not running the show in that area, but you’re not lost either.
Foundation means you can operate autonomously, contribute meaningfully, evaluate work, and manage a specialist. You’ve actually done the thing, not just read about it.
Expert is your vertical. This is where you set the standard, lead the thinking, and create real competitive advantage for the station.

Most Heads of Digital should be at base across the full horizontal, foundation in most of it, and an expert in one specific area. Here’s the list.

Radio / Broadcast.
This one is non‑negotiable, and it’s the one most “digital” candidates coming into radio are missing. Understanding how radio works isn’t about paying respect to the medium, it’s about credibility and understanding the environment you operate in. If you can’t hold a conversation about what makes a morning show work or audience measurement, you’ll miss the credibility needed to operate in your job. You don’t need to have been a program director, but you do need to have a good understanding of how radio works.

Content strategy & formats.
You’re not writing the scripts or producing the shows. But you do need to understand why a 45‑minute podcast episode works as audio and dies on YouTube, why a weekly cadence creates completely different listener behavior than a daily one, and why a short vertical video series might be the right call for a certain demographic where a podcast wouldn’t be. The same three questions apply to basically every format decision: does it stop the scroll, does it hold attention, does it leave people satisfied?

Product / UX.
Most radio digital products underperform for product reasons, not content reasons. The onboarding experience, where users drop off, whether activation flows exist at all, and whether the navigation is built for habitual listeners or new ones. You don’t have to be a product manager, but you need to think like one. Otherwise, you’ll keep shipping features that nobody uses and wondering why the metrics aren’t moving.

Technology.
I’m not talking about being able to write code, I’m talking about understanding architecture. You should know roughly what a data pipeline is and why it matters, what a CMS actually does, and how a badly configured ad server can quietly cut your revenue in half without anyone in the building noticing for months. Without that baseline literacy, two things happen. The technical team starts talking around you, and you lose the ability to tell when something is genuinely complex versus just described as complex to avoid doing it.

Distribution.
Getting your content onto the right platforms in the right format covers a lot of operational ground: RSS configuration, podcast directory submissions, app publishing, smart‑speaker skills. But it’s also strategic. Which platforms do you prioritize, and which do you deprioritize? When do you put a show as exclusive on your own app first to build a direct relationship with your audience? These are decisions with serious downstream effects on audience and revenue, and they are often underestimated.

Visibility optimization (ASO, SEO, PVO).
If done wrong, it’s probably the area where radio is missing out most on audience growth. With digital channels, discoverability is never automatic. A 40% lift in click‑through on a podcast listing often has nothing to do with better content and everything to do with a sharper title and a better cover image. Your app exists in the store, your podcast exists on Spotify, your articles exist on Google, but unless somebody is actively working on whether they actually surface to the right people, they might as well not.

Organic social.
The default mistake in radio is treating social like a megaphone for the broadcast. Clips posted, promos scheduled, engagement low, everyone wondering why. Organic social has become a content format with its own grammar and audience expectations, and it doesn’t necessarily convert to listening that can be monetized. The better question to ask isn’t how to grow followers, it’s how it’s actually moving anyone closer to your real content.

Paid acquisition.
Organic growth has a ceiling, and at some point, you have to pay to grow faster, like for the launch of a new web radio, for example. The trap I see constantly is stations running paid campaigns and judging them on click‑through rate. That’s the wrong measurement entirely. What matters is whether the listeners you paid to acquire actually come back, listen, and stay. You need to take the whole funnel into account, and cost per acquisition without downstream retention data isn’t very helpful.

CRM / first‑party audience.
If I had to name the single most underinvested area in radio, this would be it. Spotify, YouTube, or Apple knows who your listeners are. You don’t, unless you’ve put the work in to build that relationship directly. Email subscribers, push opt‑ins, registered users inside your own app: those are the people you can reach regardless of what an algorithm decides next week. As platforms are sharing less and less their data, first‑party audience stops being a marketing line item and starts being one of the most important strategic assets a station can build. Very few have taken it seriously yet.

Analytics.
There are two kinds of metrics, and confusing them is the most common analytics mistake I see. Vanity metrics feel good: downloads, followers, total streams, page views. Clarity metrics are honest: retention, completion rate, return listener rate, churn. A podcast with 50,000 downloads that nobody finishes is genuinely worse for your business than one with 5,000 downloads and a 90% completion rate, even though the first one looks better in a board deck. The real work isn’t reading dashboards, it’s knowing which questions to ask of them.

Monetization.
Digital audio monetization isn’t one thing. It’s programmatic advertising, direct‑sold campaigns, host‑read sponsorships, subscriptions, licensing, events, and, depending on the station, a handful of other revenue streams. Each has its own economics and its own implications for the listener experience. You’re probably not running commercial deals yourself, but you need to understand the landscape well enough to make product and content calls that don’t accidentally cap revenue. Putting a pre‑roll on every single episode, regardless of length or format, is a content decision and a P&L decision at the same time, and someone in the building needs to be connecting those dots.

AI.
AI belongs on this list, but as a practical tool rather than a talking point. Content production, metadata generation, audio editing, audience segmentation, social copy, translation: the tooling available to a digital team at a radio station today is legitimately useful and it’s getting better every day. You don’t have to know how the models work under the hood. You do need to have used enough of them, in enough real situations, to know where they save serious time and where they produce polished‑sounding nonsense. The stations that build AI‑literate digital teams in the next two years are going to open up a real operational gap over the ones that don’t.

Experimentation.
Most stations spend months planning things they could have answered in a two‑week test. Experimentation is the muscle of turning assumptions into hypotheses, running cheap tests, and letting evidence drive decisions instead of hierarchy. Should you change the podcast cover? Test it. Is daily better than weekly for retention on a given show? Test it. Does the Tuesday morning push beat the Friday afternoon one? Test it. And the gains compound. A station that’s been running structured experimentation for two years knows things about its audience that competitors haven’t even thought to ask. And as I explain in my book, experimentation is the cornerstone of digital transformation.

Change management / internal influence.
I’ve put this last on purpose, because it’s what makes the other thirteen actually usable. Being Head of Digital at a radio station means operating at the junction of two worlds that don’t naturally speak the same language. On one side, broadcast teams with deep craft, strong instincts, and decades of culture. On the other, platforms and data moving at a pace that often feels threatening to that craft. Your job isn’t really to “do digital,” it’s to move the whole organization forward together. In practice, that means knowing how to pitch a recommendation to a program director without losing them in three minutes, how to build trust with a commercial team that sees digital as a threat to existing revenue, and how to translate a retention curve into something a morning‑show host will actually care about. Without this skill, everything else on this list stays theoretical.

The vertical bar: where you go deep

The horizontal covers the range of things you need to be able to understand and engage with. The vertical is the one area where you go deeper than anyone else in the room, and it’s where you create real competitive advantage for your station.

Choosing your vertical isn’t mostly about what you personally enjoy, although that matters a bit. It’s about where depth is going to compound and make a material difference for the station. In a radio context, four verticals consistently stand out.

Analytics. A Head of Digital who truly reads data, who doesn’t just build or pull reports but interprets patterns, builds measurement frameworks, and connects behavior back to editorial decisions, changes how the whole organization makes choices. The impact is wide, and it lasts.

Experimentation. Stations with somebody who knows how to run structured tests accumulate knowledge faster than stations that plan by committee. The advantage compounds. Two years into a disciplined experimentation practice, you know things about your audience that no brand survey will ever tell you.

Product / UX. The vertical that’s most often missing entirely. Radio stations rarely have product thinking embedded anywhere in the organization, so a Head of Digital who can define user journeys, prioritize what gets built, and obsess over activation and retention fills a real gap. Growth tends to follow quickly.

Monetization. Digital is expected to generate revenue, and someone needs to own that responsibility with the same depth as the other verticals. In most stations I’ve worked with, the commercial side is partly or fully outsourced to a sales house, which actually makes this vertical more important, not less. You need somebody internally who can watch over the sales house’s shoulder, push back when needed, and genuinely drive them on the digital side, because their default is almost always to sell what’s easiest rather than what the real opportunity is. Every Digital Health Check we run, monetization comes up as one of the two or three biggest levers available to grow digital revenue. And almost every time, there was nobody internally with the depth to see it.

Pick one of the four. Trying to go deep on two or three at the same time almost always lands you at foundation level on each and expert on none. Match your own strengths against your station’s biggest gap, and then actually go deep. Over time, if you stay in the role or move up into a group position, the T will naturally evolve into a V and eventually a comb. But you have to start somewhere.

Building your T deliberately

If you’re hiring. The worst hiring instinct is to look for somebody who “knows everything.” That candidate almost always has no real vertical, they’ve touched a lot of things and gone deep on none. What you’re actually looking for is genuine depth in a single area combined with demonstrated curiosity and learning across the rest. Ask candidates directly about their weakest skill on the list. A good one will name it immediately and tell you what they’re doing about it. Be wary of anyone claiming to be strong across the board, because that usually means they haven’t been honest with themselves.

There are two failure modes to watch for when hiring.

The “too broadcast” candidate understands radio deeply but struggles to operate in a data‑driven, platform‑first environment. They’ll find allies easily inside the building, but the digital numbers won’t move.

The “too digital” candidate knows the platforms, the tools, and the metrics, but has never actually worked inside a traditional media organization, and tends to dramatically underestimate how much the change‑management piece really matters.

Both profiles are common, and neither one on its own is the right hire.

If you’re already in the role. Map your T honestly, and watch out for the Dunning‑Kruger effect.

In the late 1990s, two psychologists at Cornell, David Dunning and Justin Kruger, ran a series of tests on logic, grammar, and humor. The result surprised them enough to write a paper about it. The people who scored lowest on the tests were the most confident in their answers. The best performers, meanwhile, tended to underestimate how well they’d done. Put plainly, when you don’t know enough about a topic to see how much you don’t know, you tend to assume you’re fine.

The curve looks roughly like the chart below. Confidence spikes early, after a few articles and maybe a conference talk. Then reality hits, and confidence collapses. As you actually learn the domain, confidence climbs back up (more slowly this time) toward something that matches your real competence.

This matters specifically for a Head of Digital because the dangerous blind spots aren’t the areas where you know you’re weak. You’ll ask for help there. The real danger is the areas where you think you’re at foundation level, and you’re actually still at base. You make calls with quiet confidence; nobody in the building challenges you, because from the outside, you sound credible, and that’s where audience and revenue quietly get lost.

A couple of practical habits help with this. First, when someone with significantly more experience in an area pushes back on your interpretation of something, resist the instinct to defend and instead ask them to show you what you’re missing. Second, for every skill on the list, ask yourself a direct question: if I had to train somebody up to foundation level in this, could I actually do it well? If the answer isn’t a confident yes, you’re not at expert level.

Courses help, but not as much as the marketing for them suggests. The fastest way I’ve seen people genuinely build their horizontal is through exposure. Sit with the analytics team for a few weeks if you have one in-house, rather than simply pull reports, and be in the room for the questions. Run a paid campaign yourself, end-to-end, once, before you start delegating them. Review your own app’s onboarding flow with fresh eyes and no one else in the room. Take one idea all the way through an experiment, from hypothesis to reading the results. That kind of exposure teaches things no article ever will.

Know your blind spots

Nobody I’ve ever met covers all fourteen skills genuinely well. That’s fine, as long as you know it.

What we see again and again when we run a Digital Health Check for stations is the same pattern. A podcast that’s effectively invisible on Spotify because nobody on the team has seriously looked at PVO. An ad server running at a 50% render rate because the configuration was never properly reviewed. Social reach demands lots of effort, generating a real audience and almost no revenue, because the monetization layer was never built around what people were actually doing on those platforms. A sales house quietly selling what’s easy instead of what’s valuable, because there’s nobody internally driving them. An app that is simply a catalog of content and onboarding that hasn’t been properly thought through.

These aren’t really content problems; there are problems of horizontal awareness, of not having somebody in the building who can look at the whole system and see what’s broken.

If you’re not sure where your blind spots are, that’s exactly what a Health Check is for. In less than two weeks, across your full digital ecosystem, we identify where you’re losing audience and revenue, and what to do about it.

Oh….and we guarantee you 10x your investment in additional revenue.

Feb 17

Love0

32 Tools for Testing Digital Ideas in Radio

By Alexis Hue Innovation in Radio, Radio Digital Transformation

There are too many digital tools out there. It’s overwhelming.

When running Innovation Sprints or discussing with clients who want to accelerate their digital transformation, I often get asked which tools I recommend.

While it depends on what you want to test and your existing technical infrastructure, you still need a practical toolkit. Not a list of every fancy platform, just the ones that help you test ideas fast and learn what actually works.

Radio stations tend to spend months planning or simply rely on what I call the HiPPO (Highest-Paid Person’s Opinion) to make decisions, and often don’t test their assumptions.

Startups, on the other hand, excel at testing. Structured experimentation is their superpower: they don’t plan their way to success, they test their way there. And that testing muscle is what radio stations need to build to succeed in their digital transformation.

A startup, for example, might spend €200 on ads to test whether anyone wants its new product before building it. Compare this to a radio station spending months developing a new show concept without ever validating if the audience cares. One approach learns fast. The other hopes for the best.

This guide covers 8 categories of tools that enable experimentation in radio. Most are free or cheap to start. All of them help you move from planning to testing and gain evidence that the idea is actually making sense.

The goal is to start learning, and these tools exist to help you test faster, fail cheaper, and find what actually works before committing real resources.

1. Landing Pages & Quick Tests

You want to launch a new podcast or show about a certain topic. Or a new service within your app. Before you commit weeks of production time, test if anyone actually wants it.

Landing pages let you describe the thing as if it exists and measure interest. Put up a “coming soon” page, drive some traffic, and see who signs up. If nobody cares, you just saved months of work.

Carrd

Single-page websites you can build in 20 minutes. Good for “coming soon” pages or testing interest in a new show concept.

Unbounce

Landing page builder with A/B testing built in. Let’s you compare different versions to see which messaging works better.

Instapage

More advanced landing pages with heatmaps and detailed analytics. Better if you need to convince stakeholders with data.

2. Interactive Prototypes

Your development team says the new app feature will take six weeks to build. Marketing wants to see it first. Your boss wants to approve it. Your audience has opinions you haven’t heard yet.

Prototypes solve this. They look and feel real enough to get honest reactions, but you can build them in days instead of months.

Click through screens. Test the flow. Show it to users. Watch where they get confused. All before writing a line of code.

The gap between what you imagine and what users understand is usually huge. Prototypes close that gap fast. You learn what works and what doesn’t while it’s still easy to change everything.

Figma

Design tool where you create clickable mockups of apps or websites. Your team can all work on the same file at once.

Vercel v0

Type what you want in plain English, and it generates actual working website components. Feels weird at first but surprisingly useful.

Framer

Design tool that can publish real websites. The line between prototype and product gets blurry here.

Marvel App

Simple prototyping tool. Upload screens, connect them with clicks, and share the link. That’s it.

Bubble

Build actual working web apps without code. Steeper learning curve, but you end up with something functional, not just a mockup.

3. Paid Traffic & Ads

Posting on social and hoping people find you doesn’t work anymore. You need to invest a small amount of money to drive traffic to your landing page and/or mockup. Want to know if 25-34-year-olds in Berlin care about a true crime podcast happening in the East German era? Spend €100 on Meta ads targeting that audience, send them to your landing page, and count the clicks. You’re buying data, not customers.

Meta Ads (Facebook/Instagram)

Target very specific demographics. Good for testing whether your content idea resonates with the audience you think wants it.

Google Ads

Catch people who are already searching for topics related to your content. Useful for validating demand.

TikTok Ads

Younger audience. Video-first. Expensive to learn, but worth it if that’s where your future listeners are.

Spotify Ad Studio

Reach people while they’re already listening to audio. Probably the best for testing audio content concepts.

4. Video & Audio Content Creation

Radio people know audio. But testing digital content means you also need video for social platforms, clips for TikTok, and audiograms for Instagram.

Waiting for your production team probably means you don’t test much. These tools let you create decent content yourself, fast enough for experimentation to be feasible. You don’t need broadcast quality for a test. You need “good enough to learn from” quality.

CapCut

Free video editing app. Has templates optimized for TikTok and Instagram Reels. Good enough for most social content.

Descript

Edit audio or video by editing the transcript. Remove filler words automatically. Also does AI voices if you need to fix mistakes.

Riverside

Record remote interviews that sound like everyone’s in the same studio. Each person’s audio is recorded locally on their device.

Auphonic

Upload your raw audio, it fixes the levels and removes noise automatically. No manual post-production needed.

5. Content Distribution

You created a great episode or show prototype. Now it needs to reach people. Either test it privately with a select group using a webplayer, or distribute it publicly across Apple Podcasts, Spotify, YouTube, your website, Instagram, Facebook, and TikTok.

Doing this manually means you’ll publish less and test less. Distribution tools automate the boring parts. The easier it is to distribute content, the more experiments you can run.

Audiomeans

European podcast hosting that distributes to Apple, Spotify, and everywhere else automatically. You can also use their webplayer, so that the content is visible only to a selected audience. Analytics included.

Megaphone by Spotify

Advanced podcast US-based hosting with dynamic ad insertion. For when you’re ready to monetize.

Buffer

Schedule posts across Facebook, Instagram, Twitter, LinkedIn from one place. Set it and forget it.

Later

Social media scheduler built for visual platforms. Good Instagram and TikTok planning features.

6. Analytics & Behavior Tracking

Everyone has opinions about what works. A program director thinks one thing. A marketing executive thinks another. And the ad sales team has its own theory.

Behavior data ends the arguments. Did they click play? How long did they listen? Did they come back? Traditional radio metrics measure exposure/reach. Digital analytics tell you about engagement and retention.

Google Analytics 4 (GA4)

Free website and app analytics. Shows where visitors come from and what they do on your site. Industry standard.

Matomo

Privacy-focused analytics. You host the data yourself. Good alternative if GDPR compliance matters.

Mixpanel

Track specific actions people take. “Did they click play?” “Did they finish the episode?” Answers behavioral questions, not just traffic counts.

Amplitude

Similar to Mixpanel but better for tracking user journeys over time. See patterns in how people engage.

ContentSquare

Shows exactly how people interact with your site through heatmaps and session replays. Expensive but comprehensive.

7. Audience Research

Analytics tell you what people do. Audience research tells you why.

You see people drop off after 15 minutes. But you don’t know if it’s because the content gets boring or they’ve just arrived at work. So you ask them. The best decisions combine behavior data with direct conversations.

Tally

EU-based free forms that look good and work well. No branding, logic jumps, and file uploads. Easier than it sounds.

Google Forms

Everyone knows it. It’s free and works with Google Sheets. Sometimes boring is fine.

Microsoft Forms

Like Google Forms, but integrates with Microsoft 365. Use it if your station already lives in that ecosystem.

Typeform

Forms that feel like conversations. People finish them more often. Costs money, but worth it for important surveys.

8. Content Research & AI Tools

You need to research competitors, analyze transcripts, or pull insights from listener interviews. Doing this manually takes days. AI tools do it in minutes.

They don’t replace your judgment. They accelerate your research. Upload a transcript and ask questions. Research a topic with cited sources. The value is exploring more possibilities faster.

Perplexity

AI search that gives you answers with sources. Good for quick research on topics you don’t know well.

Claude

AI that handles long documents and detailed analysis. Upload transcripts or research papers and ask questions about them.

NotebookLM (Google)

Upload your own documents and have AI-powered conversations about them. Helps you find patterns in your own content.

What To Do With This List

Don’t try to use all of these, that’s not the point. Pick one category where you’re stuck. Try one tool. Run one small experiment. Learn something specific.

The tools don’t matter as much as the habit of testing instead of planning.

Most radio innovation fails not because of bad tools but because teams never move from a hope or a strategy presentation to actual experiments. These tools help you test faster and learn more cost-effectively.

That’s it. Now you have no excuses not to start testing.

Feb 11

Love0

La Gen Z ne sont plus des enfants

By Alexis Hue Radio Digital Transformation

Arrêtez de les appeler « les jeunes ».

Les membres les plus âgés de la Gen Z ont 29 ans cette année. Certains dirigent des départements marketing, d’autres lancent des startups, certains prennent des décisions d’achat pour leurs entreprises. Pendant ce temps, la plupart des dirigeants de radio débattent encore de « comment toucher la jeunesse ».

La Gen Z a déjà décidé comment elle consomme les médias il y a des années, et ça n’inclut pas l’écoute linéaire.

En 2026, la génération Z s’étend de 14 à 29 ans. Les plus âgés sont nés en 1997 et approchent la trentaine. Ce n’est pas « la jeunesse ». C’est l’âge adulte à part entière. Ils vivent leur vie d’adulte maintenant, et elle ne ressemble en rien aux générations précédentes

La génération du tout à la demande

La plupart des dirigeants de radio passent à côté de ça quand ils parlent de la Gen Z : il ne s’agit pas de préférences médias différentes. Il s’agit d’attentes différentes sur la façon dont le monde fonctionne.

Pensez à une soirée typique d’un jeune de 27 ans à Munich, Marseille, Milan ou Manchester.

Le dîner arrive via Uber Eats ou Deliveroo : pas d’appel téléphonique, pas de vérification des horaires d’ouverture, juste tapoter l’écran et la nourriture arrive. Se déplacer en ville, c’est ouvrir Bolt ou Uber, et une voiture arrive en trois minutes. Vous savez qui conduit, vous pouvez suivre le trajet en temps réel, et le paiement se fait automatiquement. Envie de regarder quelque chose ? Netflix ou Disney+ vous laissent choisir exactement ce que vous voulez, que ce soit sorti hier ou il y a quinze ans. Les courses sont livrées, et si vous êtes pressé, Gorillas ou Flink les amènent en 15 minutes. Même les rencontres se font quand vous le voulez : swipez à gauche ou à droite selon votre emploi du temps.

Tout est à la demande, immédiat et personnalisé. Tout est contrôlé par eux. Pourquoi l’audio serait-il différent ?

L’audio n’est pas différent

La Gen Z ne s’est pas réveillée un jour, n’a pas découvert Spotify en se disant « c’est sympa ». L’audio à la demande est venu naturellement parce que tout le reste dans leur vie fonctionnait déjà comme ça.

La Gen Z consomme des quantités massives d’audio, juste pas via la radio linéaire. Entrez dans n’importe quel bureau, café ou campus universitaire et comptez combien de personnes de moins de 30 ans ont des écouteurs. Les AirPods sont devenus un accessoire permanent. La Gen Z vit avec de l’audio en lecture constante pendant les trajets, à la salle de sport, en travaillant, en cuisinant, en faisant les courses.

Selon une recherche d’Attest de 2025, 82% de la Gen Z est prête à payer pour des services de streaming à la demande. Ils ne réduisent pas leur consommation d’audio : ils en consomment plus que les générations précédentes au même âge via le streaming musical, les podcasts, les vidéos YouTube et les livres audio. Ils ont simplement rejeté le modèle linéaire, pas l’audio en soi.

Quand toute votre vie adulte a été façonnée par l’obtention de exactement ce que vous voulez quand vous le voulez (nourriture, transport, divertissement, shopping, communication), l’idée de l’écoute linéaire semble absurde. Allumer la radio à 17 h 30 pour écouter une émission spécifique ? La technologie pour l’écoute à la demande existe depuis plus d’une décennie. Écouter des chansons que vous n’aimez pas pour en entendre une que vous aimez ? Les algorithmes savent déjà ce que vous voulez. Accepter des coupures publicitaires non-skippables ? Non, merci.

Ce n’est pas la Gen Z qui est difficile. C’est la Gen Z qui applique la même logique à l’audio qu’elle applique partout ailleurs.

Au-delà des médias

L’attente du tout à la demande a remodelé la façon dont la Gen Z aborde le travail, les relations et les achats. Certains accèdent à des postes de management maintenant – pas en grand nombre, mais ils sont là. Et cette volonté de payer 82% pour des services à la demande s’étend au-delà des médias.

La Gen Z fait avancer l’économie de l’abonnement. Ils n’achètent pas de DVD ou de CD, ils s’abonnent à des services qui leur donnent accès quand ils le veulent. Les taux de possession de voiture parmi la Gen Z sont plus bas que les générations précédentes parce qu’ils utilisent Uber, Bolt, Miles et l’autopartage à la place.

Leurs habitudes d’achat sont différentes aussi, plus de la moitié a acheté directement via les plateformes de médias sociaux, pas en voyant une pub puis en allant dans un magasin, mais en achetant dans l’instant.

Cette génération s’est recâblée autour de l’accès immédiat et du contrôle personnel. La radio linéaire n’est plus seulement en concurrence avec Spotify ou les podcasts. Elle est en concurrence avec une vision du monde où attendre quoi que ce soit ressemble à un design cassé.

Photo by MART PRODUCTION @Pexels

Définir la norme

Voici le vrai danger pour la radio : la Gen Z n’abandonne pas seulement les médias linéaires elle-même, elle normalise la consommation à la demande pour tous les autres.

Les modèles de consommation média remontent à travers les générations. Quand la Gen Z traite le visionnage linéaire comme dépassé, les Millennials commencent à se demander pourquoi ils regardent encore la télé en direct. Quand la Gen Z attend des podcasts et Spotify, la Gen X commence à explorer ces plateformes. L’effet cascade est déjà en cours : la consommation à la demande, personnalisée et mobile-first devient la norme par défaut pour tous les âges.

Les stations de radio qui attendent que la Gen Z « revienne » à l’écoute linéaire en vieillissant ne ratent pas seulement la Gen Z. Elles perdent toute leur base d’audience parce que les habitudes de la Gen Z deviennent les habitudes de tous.

Le fossé générationnel

Les journaux disaient que les jeunes lecteurs reviendraient en vieillissant. Ils ne sont jamais revenus.

Alain Weill, PDG du magazine français L’Express, l’a dit clairement en novembre 2024 : « 60% des abonnements papier que nous perdons le sont à cause du décès de nos abonnés. C’est la réalité de notre secteur. » La radio fait face au même précipice.

La Gen Z a grandi dans un monde où chaque service, produit et expérience est à la demande. Ce ne sont pas des préférences qui changeront avec l’âge : ce sont des attentes ancrées qui ne feront que s’intensifier à mesure que cette génération mûrit et gagne plus de pouvoir d’achat. Les membres les plus âgés de la Gen Z approchent la trentaine, et ils ne vont pas se réveiller un jour en décidant que l’écoute linéaire a du sens. Ils ont construit toute leur vie autour de l’opposé.

La vraie transformation numérique

Presque tous les dirigeants de radio que j’ai rencontrés admettent qu’ils travaillent sur la transformation numérique. Ils ont lancé des webradios et des applications, rendu leurs émissions disponibles en replay sur Spotify, et commencé à poster des clips sur TikTok. Mais ce n’est pas de la transformation.

La vraie transformation signifie accepter que le modèle à la demande n’est pas une tendance : c’est comment la Gen Z et de plus en plus tout le monde s’attend à ce que le monde fonctionne. Cela signifie repenser la création de contenu, la distribution et l’acquisition d’audience depuis zéro. Pas « comment mettre notre contenu linéaire sur les plateformes », mais plutôt « comment créer du contenu qui respecte le besoin de contrôle et d’immédiateté des gens ».

Toutes les autres industries l’ont compris. Les restaurants se sont adaptés aux applications de livraison, les entreprises de transport au covoiturage, le commerce de détail à l’e-commerce, et le divertissement au streaming. La radio continue d’agir comme si elle était spéciale, comme si le modèle linéaire avait une valeur inhérente qui finira par reconquérir les gens.

Ce n’est pas le cas. Ils ne reviendront pas.

La question

La Gen Z n’est plus constituée d’enfants. Ce sont des adultes avec un pouvoir d’achat et une autorité décisionnelle qui ont passé toute leur vie dans un monde à la demande. Tous les services de leur vie fonctionnent à la demande : la livraison de nourriture, le transport, le divertissement et le shopping. Pourquoi accepteraient-ils l’audio linéaire ?

Le précipice générationnel n’arrive pas. Nous sommes dessus en ce moment même.

Envie de discuter de comment votre station peut passer à un mode de consommation à la demande sans perdre ce qui fait votre valeur ? Contactez-nous.

Feb 11

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Gen Z Aren’t Kids Anymore

By Alexis Hue Radio Digital Transformation

Please stop calling them kids.

Gen Z’s oldest members turn 29 this year. Some are running marketing departments, others launching startups, some making corporate purchasing decisions. Meanwhile, most radio executives are still debating “how to reach youth.”

Gen Z already decided how they consume media years ago, and it doesn’t include linear listening.

In 2026, Generation Z spans ages 14 to 29. The oldest were born in 1997 and are approaching 30. That’s not youth. That’s full adulthood. They’re living adult life now, and it looks nothing like previous generations.

The On-Demand Generation

Most radio executives miss this when they talk about Gen Z: this isn’t about different media preferences. It’s about different expectations for how the world works.

Think about a typical evening for a 27-year-old in Munich, Marseille, Milan, or Manchester.

Dinner comes through Uber Eats or Deliveroo: no phone calls, no checking opening hours, just tap the screen and food arrives. Getting across town means opening Bolt or Uber, and a car shows up in three minutes. You know who’s driving, you can track the route in real time, and payment happens automatically. Want to watch something? Netflix or Disney+ let you choose exactly what you want, whether it was released yesterday or fifteen years ago. Groceries get delivered, and if you’re in a hurry, Gorillas or Flink gets them there in 15 minutes. Even dating happens when you feel like it: swipe left or right on your own schedule.

Everything is on-demand, immediate, and personalized. Everything is controlled by them. Why would audio be any different?

Audio Is No Different

Gen Z didn’t wake up one day, discover Spotify, and think “this is nice.” On-demand audio came naturally because everything else in their lives already worked that way.

Gen Z consumes massive amounts of audio, just not from linear radio. Walk into any office, coffee shop, or university campus and count how many people under 30 have earbuds in. AirPods have become a permanent accessory. Gen Z lives with audio playing constantly during commutes, at the gym, while working, while cooking, while shopping.

According to Attest’s 2025 research, 82% of Gen Z will pay for on-demand streaming services. They’re not cutting back on audio: they’re consuming more than previous generations did at this age through music streaming, podcasts, YouTube videos, and audiobooks. They simply rejected the linear model, but not audio itself.

When your entire adult life has been shaped by getting exactly what you want when you want it (food, transport, entertainment, shopping, communication), the idea of linear listening sounds absurd. Turn on the radio at 5:30 PM to catch a specific show? The technology for on-demand listening has existed for over a decade. Sit through songs you don’t like to hear one you do? Algorithms already know what you want. Accept unskippable advertising breaks? No thanks.

This isn’t Gen Z being difficult. It’s Gen Z applying the same logic to audio they apply everywhere else.

Beyond Media

The on-demand expectation has reshaped how Gen Z approaches work, relationships, and purchasing. Some are entering management positions now – not huge numbers, but they’re there. And that 82% willingness to pay for on-demand services extends beyond media.

Gen Z is driving the subscription economy forward. They don’t buy DVDs or CDs, they subscribe to services that give them access when they want it. Car ownership rates among Gen Z are lower than previous generations because they use Uber, Bolt, Miles, and car-sharing instead.

Their shopping patterns are different too; over half have bought directly through social media platforms, not by seeing an ad and then going to a store, but by buying in the moment.

This generation has rewired itself around immediate access and personal control. Linear radio isn’t just competing with Spotify or podcasts anymore. It’s competing with a worldview where waiting for anything feels like broken design.

Photo by MART PRODUCTION @Pexels

Setting the Standard

Here’s the real danger for radio: Gen Z isn’t just abandoning linear media themselves, they’re normalizing on-demand consumption for everyone else.

Media patterns flow upward through generations. When Gen Z treats linear viewing as outdated, Millennials start questioning why they’re still watching live TV. When Gen Z expects podcasts and Spotify, Gen X starts exploring those platforms. The cascade effect is already happening: On-demand, personalized, mobile-first consumption is becoming the default across all ages.

Radio stations waiting for Gen Z to “age into” linear listening aren’t just missing Gen Z. They’re losing their entire audience base because Gen Z’s habits are becoming everyone’s habits.

The Generational Cliff

Newspapers said young readers would come back as they aged. They never did.

Alain Weill, CEO of French magazine L’Express, said it plainly in November 2024: “60% of print subscriptions that we lose are due to the death of our subscribers. That’s the reality of our industry.” Radio faces the same cliff.

Gen Z grew up in a world where every service, product, and experience is on-demand. These aren’t preferences that will change with age: these are embedded expectations that will only intensify as this generation matures and gains more purchasing power. The oldest Gen Zers are approaching 30, and they’re not going to wake up one day and decide linear listening makes sense. They’ve built their entire lives around the opposite.

Real Digital Transformation

Almost all radio executives I met admit they’re working on digital transformation. They’ve launched webradios and apps, made their shows available as replays on Spotify, and started posting clips to TikTok. But that’s not transformation.

Real transformation means accepting that the on-demand model isn’t a trend: it’s how Gen Z and increasingly everyone expects the world to work. It means rethinking content creation, distribution, and audience acquisition from scratch. Not “how do we get our linear content onto platforms,” but rather “how do we create content that respects people’s need for control and immediacy.”

Every other industry has figured this out. Restaurants adapted to delivery apps, transportation companies to ride-sharing, retail to e-commerce, and entertainment to streaming. Radio keeps acting like it’s special, like the linear model has some inherent value that will eventually win people back.

It doesn’t. They won’t come back.

The Question

Gen Z aren’t kids anymore. They’re adults with purchasing power and decision-making authority who have spent their entire lives in an on-demand world. Every service in their lives works on-demand: food delivery, transportation, entertainment, and shopping. Why would they ever accept linear audio?

The generational cliff isn’t coming. We’re standing on it right now.

Want to discuss how your station can shift to on-demand without losing what makes you valuable? Get in touch!

Jan 23

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Pourquoi votre application radio a besoin de jeux

By Alexis Hue Radio App Retention, Radio Digital Transformation

Qu’ont en commun les applications du New York Times, LinkedIn et du quotidien français Le Monde ?

Des jeux quotidiens simples. Et ces jeux génèrent de la rétention mieux que presque tout ce qu’ils publient. Le Times a enregistré 11,1 milliards de parties jouées en 2024. Les jeux de LinkedIn ramènent 84% des joueurs le lendemain. Le Monde a constaté une augmentation de 10% de ses abonnés actifs après le lancement de campagnes ciblées autour des jeux.

Votre application radio ? Probablement juste un catalogue de flux et de podcasts.

Le problème de rétention que personne ne veut mesurer

Les applications mobiles perdent 70% de leurs utilisateurs en 90 jours. Les apps radio conservent généralement moins de 20% de leurs utilisateurs après 30 jours. Mais au lieu de corriger la rétention, il est plus confortable de se concentrer sur le nombre total de téléchargements.

Voici ce qui compte vraiment : combien de personnes qui ont téléchargé votre app la semaine dernière l’utilisent encore aujourd’hui ? La réponse n’est probablement pas top. Et c’est probablement aussi pour cela que vous ne la mesurez pas.

Ce que le New York Times a compris

L’achat de Wordle par le Times a apporté des dizaines de millions de nouveaux utilisateurs. Mais la vraie découverte, c’est que les abonnés qui utilisent à la fois les jeux et le contenu news ont les meilleurs taux de rétention de tous les profils d’utilisation.

Le Times a appris quelque chose d’important : les gens lisent les news quand il se passe quelque chose de gros comme des élections, des catastrophes ou des scandales. Mais les jeux ? Les gens jouent à Wordle un mardi de janvier ennuyeux exactement comme ils le font le jour d’une élection.

Le Times compte maintenant plus de 10 millions de joueurs quotidiens. Le nombre d’utilisateurs qui viennent pour les jeux est plus du double du trafic des news.

LinkedIn a fait la même chose

LinkedIn a lancé des puzzles quotidiens en mai 2024. Pas pour devenir une plateforme de jeux, mais pour transformer un outil transactionnel (que les gens n’ouvraient que pendant leur recherche d’emploi ou pour promouvoir leurs succès professionnels) en destination quotidienne.

Résultats : 84% des joueurs reviennent le lendemain. 80% reviennent une semaine plus tard.

Un réseau social professionnel compte désormais des utilisateurs qui se connectent quotidiennement pour jouer à Crossclimb. Les jeux quotidiens font quelque chose que les news ne peuvent pas : ils ramènent les gens même quand il ne se passe rien.

La radio dort sur ce sujet

Les radios organisent des jeux à l’antenne depuis toujours. Les cash calls, les quiz, les blind tests. Vous savez que les jeux fonctionnent en broadcast. Mais vous n’avez jamais fait le lien avec vos apps.

L’industrie n’a jamais compris l’énorme potentiel des jeux simples pour générer et retenir des audiences digitales. Les solutions techniques existent, sont simples et peu coûteuses. Vous ne les avez simplement pas installées au seul endroit où vous pouvez réellement mesurer la rétention d’audience.

Jeux + Audio = la combinaison parfaite

Les jeux simples ne nécessitent pas de son. Mots croisés, Sudoku, mots fléchés, jeux de cartes sont tous visuels. Ce qui signifie que les gens peuvent y jouer tout en écoutant la radio, des podcasts, des livres audio, de la musique, etc.

Quelqu’un pourrait résoudre des mots croisés dans votre app radio tout en écoutant l’un de vos streams. Vous n’êtes pas en concurrence pour l’attention. Vous la complétez.

Le jeu les garde plus longtemps dans votre application. L’audio les maintient engagés avec votre contenu.

L’ajouter en restant simple

Restez simple. Des mots croisés quotidiens avec trois niveaux de difficulté. Peut-être des mots fléchés. Du Sudoku si votre audience est plus âgée. Des questions de quiz liées à votre contenu (musique, actualité locale, ce qui correspond à votre marque). L’objectif est de 5 à 10 minutes maximum.

Laissez les gens partager leurs scores s’ils le veulent, se comparer avec des amis, consulter un classement. Mais rendez ça optionnel. Certaines personnes veulent juste résoudre le puzzle et passer à autre chose. Et quoi que vous fassiez, pas de chronomètre, pas de pression. Ce n’est pas un contrôle scolaire.

Jonathan Knight, le responsable des jeux du Times, explique leur philosophie : “Nous n’essayons pas de vous faire passer 24h/24 dans notre app. Nous voulons une habitude quotidienne saine où vous vous sentez bien après ce que vous avez fait.”

Vous devriez adopter la même approche. Les jeux ne sont pas des machines à sous conçues pour garder les gens des heures durant ; ce sont des invitations douces à ouvrir l’app quotidiennement.

Le calcul de la rétention

Si quelqu’un télécharge votre app et ne l’ouvre plus jamais, vous n’avez rien gagné. S’il l’ouvre quotidiennement parce qu’il y a de nouveaux mots croisés ? Vous avez créé une habitude.

Les habitudes valent plus que les visites ponctuelles. Quelqu’un qui consulte votre app quotidiennement a plus de chances d’écouter un de vos streams ou un de vos podcasts, de voir votre contenu, de devenir un auditeur fidèle et d’interagir avec votre contenu.

Le taux de retour de 84% le lendemain de LinkedIn n’est pas magique. C’est le résultat de la création d’un rituel quotidien qui semble accessible et gratifiant.

Les apps utilisant des mécaniques de jeu améliorent la rétention de 22% en moyenne. Les utilisateurs actifs quotidiens et la durée de session augmentent. Tout cela compte quand vous êtes en concurrence avec Spotify, YouTube Music et toutes les autres plateformes audio.

Ce que les radios devraient faire

Voici quoi faire : ajoutez un jeu simple à votre appli, faites-en la promotion (dans l’appli et à l’antenne) et observez ce qui se passe sur vos métriques de rétention pendant le mois suivant.

Vous n’avez pas besoin de développer quoi que ce soit sur mesure. Des solutions en marque blanche pour les mots croisés, le Sudoku et les quiz existent déjà, et vous pouvez intégrer quelque chose de similaire sans vous ruiner.

Il ne s’agit pas de devenir éditeur de jeux en ligne. Il s’agit de donner aux gens une raison supplémentaire d’ouvrir votre app demain, plutôt que de le faire uniquement quand ils se souviennent de votre existence.

La vraie question

La transformation digitale ne consiste pas à construire un réseau de podcasts ni à lancer une verticale vidéo. La transformation digitale consiste à faire consommer votre contenu de manière digitale et à faire revenir les gens. Les jeux ne sont pas une astuce un peu bizarre : c’est une bonne pratique empruntée aux produits numériques qui réussissent.

Si votre appli ne fait que streamer de l’audio, vous ignorez les bonnes pratiques en matière de rétention digitale.

Les jeux créent de la différenciation, des habitudes et une excellente rétention.

Je reformulerais donc la question de “devrions-nous ajouter des jeux à notre app ?” en “pourquoi ne l’avons-nous pas déjà fait ?”

Jan 23

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Why Your Radio App Needs Games

By Alexis Hue Radio App Retention, Radio Digital Transformation

What do The New York Times, LinkedIn, and French newspaper Le Monde mobile apps have in common?

Simple daily games. And those games drive retention better than almost anything else they publish. The Times recorded 11.1 billion game plays in 2024. LinkedIn’s puzzle games get 84% of players back the next day. Le Monde saw a 10% jump in active subscribers after launching targeted game campaigns.

Your radio app? Likely just a catalog of streams and podcasts.

The retention problem nobody wants to measure

Mobile apps lose 70% of users within 90 days. Radio apps typically retain less than 20% of their users after 30 days. But instead of fixing retention, the focus is on the total number of downloads.

Here’s what actually matters: how many people who downloaded your app last week are still using it today? The answer is probably ugly. Which is exactly why you probably don’t measure it.

What the New York Times figured out

The purchase of Wordle by the Times brought tens of millions of new users. But the real insight is that: subscribers who engage with both games and news content have the highest retention rates of any usage pattern.

The Times learned something important: people read news when something big such as elections, disasters, or scandals happens. But games? People play Wordle on a boring Tuesday in July just like they do on election day.

The Times now has over 10 million daily players. The number of users coming for games is more than double the traffic for news.

LinkedIn did the same thing

LinkedIn launched daily puzzles in May 2024. Not to become a gaming platform, but to turn a transactional tool (something people only opened during job searches or to promote their professional success) into a daily destination.

Results: 84% of players return the next day. 80% come back a week later.

A professional networking site now has users checking in daily to play Crossclimb. Daily games do something news can’t pull off: they get people back even when nothing’s happening.

Radio has been sleeping on this

Radio stations have run on-air games forever. Cash call-ins, trivia, name that tune. You know games work for broadcast. But you never connected that to your apps.

The industry never understood how much potential simple games have for generating and retaining digital audiences. The technical solutions exist and are simple and cheap. You just haven’t extended it to the one place where you can actually measure audience retention.

Games + Audio = the perfect combination

Simple games don’t require sound. Crosswords, Sudoku, word searches, and card games are all visual. Which means people can play them while listening to radio, podcasts, audiobooks, music, etc.

Someone could solve a crossword in your radio app while simultaneously listening to your stream. You’re not competing for attention. You’re complementing it.

The game keeps them in your app longer. The audio keeps them engaged with your content.

Adding it and keeping it simple

Keep it simple. A daily crossword with three difficulty levels. Maybe a word search. Sudoku if your audience skews older. Trivia questions tied to your content (music, local news, whatever fits your brand). The goal is 5-10 minutes max.

Let people share their scores if they want, compare with friends, check a leaderboard. But make it optional. Some people just want to solve the puzzle and move on. And whatever you do, no timers, no pressure. This isn’t a school test.

Jonathan Knight, the Times’ Head of Games, explains their philosophy: “We’re not trying to get you to spend 24/7 in our app. We want a very healthy daily habit where you feel good about what you’ve done.”

You should adopt the same approach. Games aren’t slot machines designed to keep people gambling for hours, they are gentle nudges to open the app daily.

The retention math

If someone downloads your app and never opens it again, you’ve gained nothing. If they open it daily because there’s a new crossword? You’ve created a habit.

Habits are worth more than one-time visits. Someone checking your app daily is more likely to listen to one of your streams or one of your podcasts, see your content, become a loyal listener and engage with your content.

LinkedIn’s 84% next-day return rate isn’t magic. It’s the result of creating a daily ritual that feels achievable and rewarding.

Apps using game mechanics improve retention by 22% on average. Both daily active users and session length increase. All of this matters when you’re competing with Spotify, YouTube Music, and every other audio platform.

What Radio should do

Here’s what to do: add one simple game to your app, promote it (in app and on-air) and watch what happens to your retention metrics over the next month.

You don’t need to build anything custom. White-label solutions for crosswords, Sudoku, and trivia already exist and you can integrate something similar without breaking the bank.

This isn’t about becoming a gaming company. It’s about giving people one additional reason to open your app tomorrow instead of just when they remember you exist.

The Real Question

Digital transformation isn’t about building a podcast network or launching a video vertical. Digital transformation is about getting people to consume your content digitally and keeping them coming back. Games aren’t some weird trick: they’re a best practice borrowed from successful digital products.

If your app only streams audio, you’re ignoring best practices around digital retention.

Games create differentiation, habits and great retention.

So I would reframe the question from “should we add games to our app?” to “why haven’t we already?”

Jan 09

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FOFO : Un des freins à la transformation numérique de la radio

By Alexis Hue Radio Digital Transformation

La radio ne souffre pas d’un manque d’idées. La plupart des organisations avec lesquelles je travaille en regorgent.

Les équipes ont des opinions sur les formats, les plateformes, les workflows, les outils, la gouvernance et les métriques. Il y a des slides qui expliquent où l’industrie se dirige et pourquoi l’action est urgente. Les diagnostics ne manquent pas.

Et pourtant, quand on prend du recul, les progrès semblent souvent étrangement prudents.

Non pas parce que la radio ne comprend pas ce qui se passe (la bascule vers le numérique et la consommation à la demande s’accélère), mais parce que de nombreuses organisations hésitent au moment précis où les hypothèses rencontrent la réalité, là où on arrête de débattre et où on commence à mesurer.

Cette hésitation a un nom : FOFO, pour Fear Of Finding Out (la peur de découvrir).

Cela n’a pas grand-chose à voir avec la technologie, les budgets ou même les compétences. FOFO est psychologique. Et en 2026, c’est peut-être l’une des principales raisons pour lesquelles la transformation numérique continue de stagner.

À quoi ressemble FOFO dans la radio

FOFO est rarement explicite. Personne ne dit « N’allons pas regarder les données ». Cela se cache en fait derrière des comportements parfaitement raisonnables.

Il y a une préférence pour la planification plutôt que pour les tests. J’ai un jour été dans une salle où une équipe a passé une demi-heure à débattre de la feuille de route future d’un podcast, et – avant que j’intervienne – pas une minute à regarder le taux de complétion du contenu existant et la rétention pour voir si les auditeurs aimaient réellement les premiers épisodes.

Planifier est confortable. Regarder les données brutes pourrait être inconfortable.

Cela se manifeste aussi dans les métriques que les organisations choisissent de mettre en avant. La portée de la radio linéaire est confortable. Les chiffres de téléchargements sont rassurants. Ils créent l’impression d’échelle et de momentum.

Mais qu’en est-il de la baisse du temps d’écoute ? Qu’en est-il des écoutes réelles et de la complétion plutôt que des simples téléchargements (un téléchargement n’est pas une écoute) ?

Les métriques liées au comportement – complétion, rétention, fréquence – bien qu’essentielles, sont clairement moins populaires. Elles soulèvent des questions. Et dans de nombreux marchés, les systèmes de mesure eux-mêmes rendent encore ces questions faciles à éviter.

FOFO n’est pas un problème interne. C’est toute l’industrie qui est concernée, renforcée par la manière dont la radio est mesurée.

Prenez la mesure d’audience. Les recherches d’EGTA montrent un schéma cohérent dans les marchés qui passent d’enquêtes déclaratives à une mesure passive ou hybride. La portée a tendance à rester plus ou moins stable, mais le temps d’écoute, lui, chute brutalement, souvent dans une fourchette de 20 à 30 %.

Non pas parce que les audiences changent soudainement de comportement, mais parce que la mesure passive élimine le biais de mémoire et capture ce que les gens font réellement, et non ce qu’ils croient faire.

Cette chute est inconfortable. Elle affecte l’inventaire, la tarification et les hypothèses sur la performance de la radio.

Dans le même temps, la direction est claire : les annonceurs et les agences attendent de plus en plus de données comportementales, en temps quasi réel, comparables au numérique et au streaming vidéo. Pas simplement des chiffres déclaratifs gonflés.

FOFO est également présent lorsque des initiatives numériques sont étiquetées comme « expérimentations » mais ne sont jamais conçues pour véritablement remettre en question les hypothèses. L’objectif se déplace discrètement : de l’apprentissage de quelque chose de nouveau vers la confirmation de quelque chose de familier.

Les organisations radio n’évitent pas ces moments par paresse. Elles les évitent parce qu’elles tiennent à leur sujet. À leur marque. À leurs succès passés. À ne pas être la personne qui doit dire : « Ça ne marche pas comme on l’espérait. »

Pourquoi FOFO est devenu un vrai problème

En refusant de regarder, on refuse d’agir.

FOFO fonctionne comme le fait d’éviter un rendez-vous chez le médecin. Non pas parce qu’on se sent bien, mais parce qu’on a peur de ce qu’on pourrait entendre. Le problème ne disparaît pas. Il reste non traité. Et plus on attend, moins il reste d’options.

La même dynamique s’applique ici. Tant que les données inconfortables ne sont pas examinées, les problèmes sous-jacents ne sont pas traités. Les formats ne sont pas ajustés. Les choix de distribution ne sont pas remis en question. Les décisions d’investissement restent théoriques.

Le danger, c’est que FOFO n’apparaît rarement immédiatement dans les chiffres.

Au début, tout semble aller bien. Les équipes restent actives et occupées, exécutent des plans et affinent des narratifs, tout en s’éloignant progressivement du comportement réel de l’audience. Les métriques qui confirment ce qui « sonne bien » sont amplifiées ; les signaux qui le remettent en question sont reportés ou ignorés. De bons indicateurs sont les communiqués de presse des stations à la suite des résultats d’une vague de mesures.

Cela crée une fausse réassurance. La stabilité devient une histoire que les organisations se racontent, mais à un moment donné, elle cessera d’être crédible.

Et au moment où la pression force les décisions, l’éventail des options a disparu. Les petites expérimentations peu coûteuses qui auraient pu éclairer le chemin à suivre ne sont plus possibles. Ce qui aurait pu être testé légèrement nécessite désormais une restructuration, une consolidation ou des mouvements défensifs.

FOFO n’empêche pas les mauvaises nouvelles. Il les reporte simplement, tout en rendant la réponse plus lente, plus risquée et plus coûteuse.

Comment briser FOFO

Briser FOFO commence par une étape simple et inconfortable : accepter de regarder.

Pas tout. Pas le tableau de bord parfait qui n’existe pas. Mais les points de données dont on sait déjà qu’ils sont gênants. Ceux qui arrivent rarement dans les présentations. Les taux de complétion des émissions, la fréquence d’utilisation de votre application, le taux de rétention des nouveaux auditeurs, les moments d’abandon… les chiffres qui remettent discrètement en question le narratif.

Tant que ceux-ci ne sont pas reconnus, rien d’autre ne bouge vraiment. Non pas parce que les équipes sont incapables, mais parce qu’on ne peut pas réparer ce qu’on refuse de nommer.

La deuxième étape consiste à accepter quelque chose avec lequel la radio a historiquement eu du mal : vous ne savez pas encore ce que vous ne savez pas.

C’est là que l’expérimentation compte. Pas comme un mot à la mode, et pas comme du théâtre d’innovation, mais comme un moyen de remplacer les opinions par des preuves. Beaucoup des échecs que je décris dans mes articles précédents et dans mon livre, des podcasts surproduits qui ne trouvent jamais leur public aux extensions numériques qui semblent bien sur le papier mais restent inutilisées, partagent la même cause profonde : les hypothèses n’ont jamais été testées. Par peur de découvrir.

La radio a passé des décennies à optimiser des variables connues comme les grilles ou les formats. Mais le numérique ne récompense pas l’optimisation du connu. Il récompense la découverte de l’inconnu.

Cette découverte ne nécessite ni grands lancements ni paris risqués. Elle nécessite de petites expérimentations délibérées conçues pour répondre à des questions spécifiques : Mes efforts pour promouvoir du contenu sur TikTok ramènent-ils réellement des auditeurs, et reviennent-ils ? Vaut-il mieux publier deux épisodes de 10 minutes ou un seul de 20 minutes ?

Les expérimentations ne visent pas à avoir raison. Elles visent à découvrir.

Une fois que les organisations acceptent que l’apprentissage précède la confiance, et non l’inverse, FOFO commence à perdre son emprise. Les décisions deviennent plus faciles. Les arbitrages deviennent plus clairs. Et le progrès cesse de ressembler à un saut dans le vide.

FOFO est un choix

À un moment donné, chaque organisation fait face à la même décision.

Vous pouvez préserver le confort maintenant et gérer les conséquences plus tard. Ou accepter l’inconfort tôt, tant qu’il reste encore de la marge pour ajuster.

La transformation numérique ne récompense pas la confiance. Elle récompense l’honnêteté. La volonté de regarder les choses telles qu’elles sont, et non telles que nous voudrions qu’elles soient.

FOFO est humain. C’est compréhensible. Mais c’est aussi un choix.

Et en 2026, c’est un choix coûteux.

Jan 09

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FOFO: One Reason Why Radio’s Digital Transformation Is Slow

By Alexis Hue Radio Digital Transformation

Radio doesn’t suffer from a lack of ideas. Most organisations I work with are overflowing with them.

People have opinions about formats, platforms, workflows, tools, governance, and metrics. There are slides explaining where the industry is heading and why action is urgent. There is no shortage of diagnoses.

And yet, when you step back, progress often feels oddly cautious.

Not because radio doesn’t understand what is happening (the shift to digital, on-demand consumption is accelerating), but because many organisations hesitate at the moment where assumptions meet reality, where you stop debating and start measuring.

That hesitation has a name: FOFO, short for Fear Of Finding Out.

It has very little to do with technology, budgets, or even skills. FOFO is psychological. And in 2026, it may be one of the main reasons digital transformation keeps stalling.

What FOFO Actually Looks Like in Radio

FOFO is rarely explicit. Nobody says, “Let’s not look at the data.” Instead, it hides behind perfectly reasonable behaviour.

There is a preference for planning over testing. I have once been in a room where a team spent half an hour debating a podcast’s future roadmap, and – before I intervene – not a minute looking at the completion rate of existing content and retention to see if listeners actually like the first episodes.

Planning is comfortable, while looking at hard data could feel uncomfortable.

It also shows up in the metrics organisations choose to put forward. Reach of linear radio is comfortable. Downloads numbers are reassuring. They create the impression of scale and momentum.

But what about time spent listening going down, what about actual listens and completion rather than just downloads (a download doesn’t mean it has been heard).

Metrics tied to behaviour – completion, retention, frequency – while essential are clearly less popular. They raise questions. And in many markets, the measurement systems themselves still make those questions easy to avoid.

FOFO is not an internal problem. It’s industry-wide, reinforced by how radio is measured.

Take measurement. EGTA’s research shows a consistent pattern across markets that move from declarative surveys to passive or hybrid measurement. Reach tends to stay more or less stable, but time spent listening, however, drops sharply, often in the 20–30% range.

Not because audiences suddenly behave differently, but because passive measurement removes memory bias and captures what people actually do, not what they believe they do.

That drop is uncomfortable. It affects inventory, pricing, and assumptions about radio’s performance.

At the same time, the direction is clear: advertisers and agencies increasingly expect behavioural, near-real-time data, comparable to digital and video streaming. Not simply inflated declarative numbers.

FOFO is also present when digital initiatives are labelled as “experiments” but are never designed to genuinely challenge assumptions. The objective quietly shifts from learning something new to confirming something familiar.

Radio organisations don’t avoid these moments out of laziness. They avoid them because they care. About their brand. About past success. About not being the person who has to say: “This isn’t landing the way we expected.”

Why FOFO Has Become a Real Problem

By refusing to look, you refuse to act.

FOFO works like avoiding a doctor’s appointment. Not because you feel fine, but because you’re afraid of what you might hear. The problem doesn’t disappear. It goes untreated. And the longer you wait, the fewer options remain.

The same dynamic applies here. As long as uncomfortable data isn’t examined, the underlying issues aren’t addressed. Formats aren’t adjusted. Distribution choices aren’t challenged. Investment decisions remain theoretical.

The danger is that FOFO rarely shows up immediately in the numbers.

At first, everything looks fine. Teams stay active and busy, executing plans and refining narratives, while gradually drifting away from actual audience behaviour. Metrics that confirm what “sounds good” are amplified; signals that challenge it are postponed or ignored. A good indicator is the stations’ press release following the results of a measurement wave.

This creates false reassurance. Stability becomes a story organisations tell themselves, but a some point it will stop being credible.

And by the time pressure forces decisions, optionality has disappeared. The small, cheap experiments that could have informed the path forward are no longer possible. What could have been tested lightly now requires restructuring, consolidation, or defensive moves.

FOFO does not prevent bad news. It merely postpones it, while making the response slower, riskier, and more expensive.

How to Break FOFO

Breaking FOFO starts with a simple, uncomfortable step: agreeing to look.

Not at everything, or at the perfect dashboard that doesn’t exist. But at the data points, you already sense are inconvenient. The ones that rarely make it into presentations. Completion rates of shows. Frequency of usage of your app, retention rate of new listeners, drop-off moments…the numbers that quietly challenge the narrative.

Until those are acknowledged, nothing else really moves. Not because teams are incapable, but because you can’t fix what you refuse to name.

The second step is accepting something radio has historically struggled with: you don’t yet know what you don’t know.

This is where experimentation matters, not as a buzzword, and not as innovation theatre, but as a way to replace opinions with evidence. Many of the failures I describe in previous articles and in my book, from overproduced podcasts that never find an audience to digital extensions that look good on paper but go unused, share the same root cause: assumptions were never tested. By fear of finding out.

Radio has spent decades optimising known variables such as schedules or formats. But digital doesn’t reward optimisation of the known. It rewards the discovery of the unknown.

That discovery doesn’t require big launches or risky bets. It requires small, deliberate experiments designed to answer specific questions: Do my efforts promoting content on TikTok actually bring listeners, and do they come back? Is it better to publish two 10-minute episodes or one 20-minute one?

Experiments are not about being right. They are about finding out.

Once organisations accept that learning precedes confidence, not the other way around, FOFO starts to lose its grip. Decisions become easier. Trade-offs become clearer. And progress stops feeling like a leap of faith.

FOFO Is a Choice

At some point, every organisation faces the same decision.

You can preserve comfort now and deal with consequences later. Or accept discomfort early, while there is still room to adjust.

Digital transformation doesn’t reward confidence. It rewards honesty. The willingness to look at things as they are, not as we wish they were.

FOFO is human. It’s understandable. But it is also a choice.

And in 2026, it’s a costly one.

Jan 07

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2026: Planifer ou tester?

By Alexis Hue Radio Digital Transformation

Si 2025 vous a semblé chargée mais par ailleurs peu productive, vous n’êtes pas seul.

Partout en Europe, beaucoup de radios ont passé l’année dernière à discuter de transformation numérique dans les moindres détails. Il y a eu des comités de pilotage, des présentations stratégiques et des roadmaps soigneusement préparées qui parlaient de podcasts, de plateformes et de l’approche audience-first. L’intention était sincère, l’énergie réelle, et les personnes impliquées souvent très compétentes.

Et pourtant, alors que 2026 commence, la réalité est que très peu de choses ont matériellement changé.

Les mêmes émissions dominent la grille. Les produits numériques restent marginaux. L’écoute à la demande est toujours traitée comme une extension du monde linéaire plutôt que comme une logique différente. Pas parce que les gens s’en fichent, mais parce que la plupart des organisations sont restées coincées en mode planification.

C’est pourquoi 2026 risque fort de ressembler à 2025, sauf si une chose change.

Pas la stratégie elle-même. Pas l’organigramme. Mais la question que vous posez.

La question qui tue le momentum

En début d’année, beaucoup d’équipes de direction se posent instinctivement la question : « Quelle devrait être notre stratégie numérique pour 2026 ? » Ça semble raisonnable, même nécessaire. Mais en pratique, ça mène presque toujours au même résultat : des mois de travail d’alignement, des ajustements des plans existants et, au final, très peu de choses qui atteignent vraiment une audience.

Le problème n’est pas la stratégie en soi. Le problème, c’est que cette question pousse les organisations vers l’abstraction. Elle récompense la cohérence sur le papier plutôt que l’apprentissage dans le monde réel.

Une question bien plus productive, plus simple et un peu inconfortable serait: « Quelle est la première chose qu’on va tester au premier trimestre ? »

Cette question force la précision. Vous ne pouvez pas vous cacher derrière l’ambition, l’intention ou les budgets. Vous devez décider ce qui sera construit, pour qui, et ce que vous espérez apprendre. Elle déplace la conversation de la vision à l’exécution, du consensus à la preuve.

Pourquoi la planification rassure, et pourquoi c’est dangereux

La planification donne l’impression de sécurité parce qu’elle semble maîtrisée. Elle produit des documents, des milestones et un sentiment de professionnalisme avec lequel les organisations sont très à l’aise.

J’ai vu ça clairement avec un groupe de radios régionales l’année dernière. Sur plusieurs mois, ils ont élaboré une stratégie de plateforme audio numérique bien réfléchie, avec un déploiement progressif, des modèles de gouvernance entre stations et un horizon pluriannuel. Le travail était solide. Tout le monde a agi de bonne foi.

Mais début automne, rien n’avait été lancé.

Chaque retard avait une explication rationnelle : d’abord l’infrastructure, puis l’alignement des équipes, puis les budgets, puis l’approbation du conseil. Aucune de ces étapes n’était fausse en soi. Ensemble, elles ont créé une paralysie.

Au même moment, un de leurs animateurs a commencé à publier de courts clips sur TikTok, sans roadmap ni approbation formelle. Six mois plus tard, le compte comptait des dizaines de milliers d’abonnés et une bien meilleure compréhension de ce qui fonctionne numériquement que l’organisation n’en avait gagné après des mois de planification.

Ce contraste est inconfortable, mais instructif. La planification signale le sérieux. Les tests signalent le risque. Pourtant, dans un environnement numérique, éviter les petits risques garantit presque un risque plus grand plus tard.

Concrètement, tester, ça veut dire quoi?

Le test est souvent mal compris, surtout dans les organisations façonnées par des décennies de logique broadcast. Ça ne veut pas dire agir au hasard ni abandonner les standards.

Ça veut dire réduire la portée de l’ambition pour que quelque chose puisse être livré vite et évalué honnêtement.

Dans de nombreuses organisations, des mois sont consacrés à débattre de ce qui devrait marcher dans un univers numérique. Ces discussions sont généralement guidées par l’expérience, l’intuition et des convictions bien intentionnées quant à l’audience. Le problème n’est pas que cette intuition soit fausse, mais qu’elle reste non testée.

Une alternative plus productive consiste à ne retenir qu’une seule hypothèse – par exemple, que les auditeurs souhaitent des versions plus longues et approfondies des interviews en mode à la demande – et à la confronter à la réalité. Sortir un petit nombre d’épisodes dans un format clair, puis observer ce qui se passe : est-ce que les gens commencent à écouter, est-ce qu’ils terminent, est-ce qu’ils reviennent ?

Une approche étire l’apprentissage sur des mois de discussion. L’autre le compresse en quelques semaines et apporte des preuves concrètes. Et dans un environnement numérique où les habitudes évoluent vite, le progrès vient d’un apprentissage rapide et validé plutôt que de la confiance en ce qui devrait marcher.

Ce qui pourrait vraiment être livré avant la fin du trimestre

La plupart des organisations sous-estiment à quel point elles peuvent apprendre en peu de temps si elles se concentrent.

En un seul trimestre, les équipes peuvent aller bien au-delà d’expériences isolées et générer de vraies preuves de ce qui marche. Pas des insights théoriques, mais un apprentissage validé : des signaux sur le comportement de l’audience, les formats, la distribution et la création de valeur qui peuvent vraiment informer les décisions.

En pratique, ça pourrait vouloir dire tester si une émission phare marche vraiment en podcast, explorer un format 100% numérique avant de l’exposer à l’antenne, ou distribuer un programme de manière agressive sur les plateformes pour comprendre où la découverte se produit vraiment. D’autres pourraient valider des idées de contenu ou de monétisation par des tests ciblés auprès de l’audience plutôt que par débat interne.

La différence clé n’est pas ce qui est testé, mais la vitesse à laquelle l’apprentissage se produit.

Quand l’expérimentation est structurée – avec des hypothèses claires, des boucles de feedback serrées et des points de décision explicites – des insights significatifs peuvent être produits en quelques semaines. C’est exactement pour ça qu’on organise des Sprints d’Innovation avec nos clients : en douze semaines, les équipes génèrent des idées et passent des hypothèses aux preuves, avec assez d’éléments pour décider s’il faut passer à l’échelle, pivoter ou arrêter.

Tous les tests ne réussissent pas et certaines idées sont vite abandonnées. C’est le principe. Ce qui compte, c’est qu’à la fin du trimestre, l’organisation en sait bien plus sur son audience et sur le potentiel des idées pour le numérique qu’au début de l’année, et qu’elle a quelque chose de concret à montrer.

Point important : des initiatives comme ça coûtent moins cher (financièrement et politiquement) qu’une année de plus passée à affiner des documents stratégiques. Et elles font avancer l’apprentissage à une vitesse entièrement différente.

L’effet exponentiel d’apprendre tôt

Le vrai avantage des tests précoces n’est pas que la première expérience réussisse. C’est que chaque test donne le droit de viser un peu plus haut ensuite.

Une organisation qui fait quelques tests significatifs au premier trimestre entre au deuxième avec quelque chose de rare : de vraies données sur le comportement de l’audience. Ces données orientent l’itération suivante, souvent un peu plus ambitieuse que la première. À mi-année, plusieurs hypothèses ont été validées ou écartées. À la fin de l’année, une poignée d’initiatives ne sont plus théoriques ; elles sont prouvées, affinées par des tests successifs, et prêtes à être intégrées.

Ce qui compte, ce n’est pas que les tests individuels soient spectaculaires. La plupart ne le sont pas et certains échouent dans les grandes largeurs. C’est normal. Ce qui compte, c’est que l’apprentissage se compose. Chaque cycle réduit l’incertitude, affine le focus et augmente la confiance quant à ce qui peut raisonnablement être tenté ensuite.

Le paradoxe, c’est que les organisations qui commencent avec des tests volontairement modestes atteignent souvent des ambitions plus élevées plus vite que celles qui essaient de commencer en grand. Les équipes qui retardent l’expérimentation risquent d’arriver, éventuellement, aux mêmes conclusions, mais beaucoup plus tard, et à un coût nettement plus élevé.

Là où se situe le vrai risque

Un test raté de trois semaines a rarement des conséquences au-delà d’une légère déception. Les audiences le remarquent à peine. Les marques restent intactes. Les équipes passent à autre chose.

Le risque le plus grand est bien plus silencieux : une autre année passée à discuter et à s’aligner en interne, pendant que le comportement de l’audience continue d’évoluer ailleurs. Cet écart est difficile à combler une fois qu’il devient visible dans les chiffres.

La plupart des médias historiques n’ont pas décliné parce qu’ils ont fait des paris audacieux mais ratés. Ils ont décliné parce qu’ils ont attendu trop longtemps avant d’en faire de significatifs.

Les documents stratégiques n’empêchent pas ce résultat. Les tests et l’apprentissage, oui.

Un choix simple pour 2026

Alors que l’année commence, les dirigeants radio font face à un choix moins stratégique qu’il n’y paraît.

Une voie consiste à affiner les plans de l’année dernière, à sécuriser le consensus et à repousser l’exécution jusqu’à ce que les conditions semblent idéales. L’autre consiste à s’engager sur un petit nombre de tests concrets, à accepter l’incertitude et à apprendre vite.

Les deux voies peuvent se justifier, mais une seule produit de l’élan.

À ce stade, la plupart de l’industrie de la radio a compris l’impératif de transformation numérique. Les données sont bien connues. La direction à prendre ne laisse plus de doute.

Ce qui reste ouvert, c’est de savoir si 2026 sera passée à planifier ou à tester.

Jan 05

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2026: Planning or Testing?

By Alexis Hue Radio Digital Transformation

If 2025 felt busy but somehow unproductive, you’re not alone.

Across Europe, many radio organisations spent the past year discussing digital transformation in great detail. There were steering committees, strategy decks, and carefully articulated roadmaps about podcasts, platforms, and audience-first thinking. The intent was genuine, the energy real, and the people involved often highly competent.

And yet, as 2026 begins, the uncomfortable reality is that very little has materially changed.

The same shows dominate the schedule. Digital products remain marginal. On-demand listening is still treated as an extension of the linear world rather than a different logic altogether. Not because people don’t care, but because most organisations got stuck in planning mode.

That is why 2026 risks looking a lot like 2025, unless one thing changes.

Not the strategy itself. Not the organisational chart. But the question you ask.

The question that kills momentum

At the start of the year, many leadership teams instinctively ask: “What should our strategy for digital be in 2026?” It sounds reasonable, even necessary. But in practice, it almost always leads to the same outcome: months of alignment work, incremental refinements of existing plans, and very little that actually reaches an audience.

The problem isn’t strategy per se. The problem is that this question pushes organisations into abstraction. It rewards coherence on paper rather than learning in the real world.

A far more productive question is simpler, and slightly uncomfortable: “What is the first thing we are going to test in Q1?”

That question forces specificity. You can’t hide behind ambition, intent, or budgets. You have to decide what will be built, for whom, and what you expect to learn. It shifts the conversation from vision to execution, from consensus to evidence.

Why planning feels reassuring, and why that’s dangerous

Planning feels safe because it looks controlled. It produces documents, milestones, and a sense of professionalism that organisations are deeply comfortable with.

I saw this clearly with a large regional radio group last year. Over several months, they produced a thoughtful digital audio platform strategy, complete with phased delivery, governance models across stations, and a multi-year horizon. The work was solid. Everyone involved acted in good faith.

But by early autumn, nothing had launched.

Each delay had a rational explanation: infrastructure first, then team alignment, then budgets, then board approval. None of these steps was wrong in isolation. Together, they created paralysis.

At the same time, one of their presenters began posting short clips on TikTok, without a roadmap or formal approval. Six months later, the account had tens of thousands of followers and a far better understanding of what resonated digitally than the organisation had gained from months of planning.

This contrast is uncomfortable, but instructive. Planning signals seriousness. Testing signals risk. Yet in a digital environment, avoiding small risks almost guarantees a larger one later.

What testing actually looks like in practice

Testing is often misunderstood, especially in organisations shaped by decades of broadcast logic. It does not mean acting randomly, nor does it mean abandoning standards.

It means narrowing the scope of ambition so that something can be shipped quickly and evaluated honestly.

In many organisations, months are spent debating what should work digitally. These discussions are usually driven by experience, intuition, and well-intentioned beliefs about the audience. The problem is not that this intuition is wrong, but that it remains untested.

A more productive alternative is to take a single assumption – for example, that listeners want longer, more in-depth versions of interviews – and confront it with reality. Release a small number of episodes in a clearly defined format, then observe what happens: do people start listening, do they finish, do they come back?

One approach stretches learning over months of discussion. The other compresses it into a few weeks of real-world evidence. And in a digital environment where habits evolve quickly, progress comes from fast, validated learning rather than confidence in what should work.

What could realistically be shipped before the end of Q1

Most organisations underestimate how much they can learn in a short period if they focus.

Within a single quarter, teams can move well beyond isolated experiments and generate real evidence about what works digitally. Not theoretical insights, but validated learning: signals about audience behaviour, formats, distribution, and value creation that can actually inform decisions.

In practice, this might mean testing whether a flagship show genuinely works as a podcast, exploring a digital-only format before exposing it on air, or distributing one programme aggressively across platforms to understand where discovery really happens. Others might validate content or monetisation ideas through targeted audience tests rather than internal debate.

The key difference is not what is tested, but how fast learning happens.

When experimentation is structured – with clear hypotheses, tight feedback loops, and explicit decision points – meaningful insights can be produced in a matter of weeks. This is precisely why we run Innovation Sprints with our clients: in twelve weeks, teams generate ideas and move from assumptions to evidence, with enough proof to decide whether to scale, pivot, or stop.

Not every test succeeds. Some ideas are discarded quickly. That is the point. What matters is that by the end of Q1, the organisation knows far more about its audience and its digital potential than it did at the start of the year, and has something concrete to show for it.

Crucially, initiatives like these cost less (financially and politically) than another year spent refining strategy documents. But they move learning forward at a completely different speed.

The compounding advantage of learning early

The real advantage of early testing is not that the first experiment succeeds. It is that each test earns the right to aim slightly higher next.

An organisation that runs some meaningful tests in Q1 enters Q2 with something rare: real data about audience behaviour. That data informs the next iteration, which is often a little more ambitious than the first. By mid-year, several assumptions have been validated or discarded. By the end of the year, a handful of initiatives are no longer theoretical; they are proven, refined through successive tests, and ready to be integrated.

What matters is not that individual tests are spectacular. Most aren’t. Some fail outright. That is normal. What matters is that learning compounds. Each cycle reduces uncertainty, sharpens focus, and increases confidence in what can reasonably be attempted next.

The paradox is that organisations that start with deliberately modest tests often reach higher ambitions faster than those that try to start big. By contrast, teams that delay experimentation tend to arrive at similar conclusions much later, and at significantly higher cost.

Where the real risk actually lies

A failed three-week test rarely has consequences beyond mild disappointment. Audiences barely notice. Brands remain intact. Teams move on.

The greater risk is far quieter: another year spent discussing and aligning internally while audience behaviour continues to evolve elsewhere. That gap is difficult to close once it becomes visible in the numbers.

Most legacy media organisations did not decline because they made bold but unsuccessful bets. They declined because they waited too long to make any meaningful ones.

Strategy documents do not prevent that outcome. Learning does.

A simple choice for 2026

As the year begins, radio leaders face a choice that is less strategic than it appears.

One path involves refining last year’s plans, securing consensus, and delaying execution until conditions feel ideal. The other involves committing to a small number of concrete tests, accepting uncertainty, and learning quickly.

Both paths can be justified. Only one produces momentum.

By now, most of the industry understands the imperative of digital transformation. The data is well known. The direction of travel is no longer in doubt.

What remains open is whether 2026 will be spent planning or testing.