Which problem matches yours?

Eight situations I get called for. Each links to the engagement that fits — a Sprint, a 90-Day Program, or Advisory — and to the kind of outcome the work produces.

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Situation 01

Considering a launch.

Format, brand, product, or market. Before the rollout budget is committed.

The shape

A bet that needs to land on the first try.

Launches burn momentum when they miss. A pre-launch simulation reveals which version actually lands with your audience before the marketing budget is committed.

The fit

Decision Sprint, 2–4 weeks

Ranked launch options. Scenario tests against real audience data. Go / no-go recommendation with a 30-day execution plan.

The proof

€3.1M redirected, 14 days

A multinational publisher’s €4M audio rollout redirected to the option that actually held with target listeners.

Situation 02

Evaluating an acquisition.

Target fit, synergy reality, integration risk — before the LOI.

The shape

Due diligence, stress-tested.

The finance team models the deal. Integration risk, portfolio overlap, and audience cannibalization usually don’t live in the model.

The fit

Decision Sprint or Advisory

Sprint if the decision is one-shot. Advisory if you’re building deal muscle inside the group.

The proof

€42M overlap isolated pre-deal

Top-5 European group identified revenue overlap and integration risk 19 days before the board vote.

Situation 03

Revenue plateau.

Numbers flat for three quarters. Team split on what to change.

The shape

The plateau is expensive and political.

Push harder or pivot. Both sides have numbers. The evidence-based tie-breaker usually doesn’t exist yet.

The fit

90-Day Growth Program

Monthly experiments with weekly scoreboards. Kill what doesn’t work. Double down on what does.

The proof

+31% direct revenue, 90 days

Regional news-talk group pivoted to ads + supporter model. Every month paid for itself.

Situation 04

Regulatory shift.

DSA, AI Act, licensing, carriage deals — translate the policy into P&L.

The shape

Compliance cost meets strategic choice.

Regulation redraws what’s possible. The question isn’t “how do we comply” — it’s “which of our moves still work”.

The fit

Decision Sprint, 3–4 weeks

Option set modeled against the new regulatory constraints. Posture recommended. Cost profile transparent.

The proof

€7M compliance cost reduced

Global media group re-ranked its DSA response across 3 markets in 18 days. Legal signed. CFO signed.

Situation 05

Format decision.

Keep, flip, or spin off — tested with real audience before the money moves.

The shape

Three internal camps. One flagship.

Programming, sales, and strategy each have a view. Simulated audience response usually ends the debate in week two.

The fit

Decision Sprint

Ranked format options. Audience response simulated for each. A recommendation signed off in 2–4 weeks.

The proof

+18% satisfaction, +2.1 pts share

Owner-led AM/FM group in the Pacific region settled the split and gained share against the incumbent in one quarter.

Situation 06

Talent or brand bet.

A flagship hire, a rebrand, a personality deal — not reversible without damage.

The shape

The bet leaves a footprint either way.

A star host, a new brand, an exclusivity deal. The cost of being wrong is not just money — it’s the headline.

The fit

Decision Sprint

Brand and talent tested pre-announcement with target audiences. Risk profile quantified before the contract.

The proof

Headline avoided

A broadcaster redirected a costly content move one week before announcement to a stronger option.

Situation 07

Monetization pivot.

Ads to subs, subs to bundles, bundles to SaaS — with a P&L that still works.

The shape

The model change is existential.

The wrong pivot can kill the business faster than the plateau it’s trying to solve. Pacing and sequencing matter.

The fit

90-Day Program + Sprint

Sprint to frame the pivot. 90-Day Program to run the experiments and codify the new model.

The proof

8,400 paying supporters, 90 days

Regional news-talk group moved from ads-only to ads + supporter with no incremental audience spend.

Situation 08

AI integration.

Where it moves revenue. Where it’s noise. Where it becomes a liability.

The shape

A lot of hype. A few real levers.

Content generation, audience modeling, programming optimization, ad ops, discovery — each with different economics. The hard part is ranking them.

The fit

Decision Sprint

Ranked AI bets against real revenue levers. Built on our own stack: MusicDatak and MediaDatak.

The proof

Built with François Pachet

Former director of Spotify’s Creator Technology Research Lab and of Sony Computer Science Laboratory.

Your situation isn’t on this page?

Say it on a 20-minute call. I’ve usually seen it before — 30+ markets, 30+ years — and if not, the call is free.