Nohan Decimus is a creative strategist who works on Meta and TikTok ads for French direct-to-consumer brands, including skincare, haircare and food companies. Their work focuses on testing ad concepts, hooks and formats to improve performance.
Useful for auditing cold-traffic Meta and TikTok ad creative and building clearer tests for French DTC brands.
Best for
French DTC skincare, haircare or food brand needing cold-traffic creative audit or testing plan.
Not for
A sponsored UGC campaign with guaranteed reach, fixed deliverables, usage terms and exclusivity.
Key takeaways
30 new ads are not a meaningful test if they repeat the same message.
AAR framework separates awareness, angle, retention, changing one variable at a time.
Rising CPA: check hook rate, top-spending ad age, awareness across recent creative.
Check first: Confirm independently verified campaign results and a performance case study before contacting them.
Main ideas
More creatives is not more testing: change one variable per round · Hook format signals awareness level; the wrong one burns cold-traffic budget · Read the account before ordering more creative
Audience
1498 LinkedIn followers · 5 of 5 Posts ending with a direct question or comment request
Nohan Decimus is a creative strategist who says they work on Meta and TikTok ads for French direct-to-consumer brands, including skincare, haircare and food.
In LinkedIn posts, they are known for turning ad analysis into practical tests: rather than simply making more creatives, identify what each one tests and what the performance signals suggest.
The posts are worth following for specific ways to examine hooks, proof, audience awareness and competitor ads, alongside a personal account of how they came to the work.
Nohan Decimus connects creative choices to a diagnosis a brand can act on.
In one post, they argue that 30 new ads do not amount to a meaningful test if they repeat the same message.
The AAR framework separates awareness, angle and retention, with a rule to change one variable at a time so the next result is easier to interpret.
Another post applies that diagnostic approach to a rising CPA: check hook rate, the age of the top-spending ads and awareness levels across recent creative before deciding to produce more.
They also show how format can change a hook’s signal, comparing a comment-reply opening with a direct-to-camera product introduction for cold traffic.
The strength is this combination of concrete examples and a reason for each recommendation.
Ask for independently verified campaign results and a performance case study; a personal post about moving from construction work to ad strategy adds context but does not provide one.
Nohan Decimus writes about Meta and TikTok ad creative for French direct-to-consumer brands.
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The posts return to one argument: testing is a measurement problem, not an output problem.
Producing 30 creatives that repeat the same message, format or awareness level does not produce learning.
Instead, the posts advocate isolating one variable, reading the account before briefing new work, and judging creative work by what it moves rather than by credentials.
A recurring thread is the use of the same awareness vocabulary — Eugene Schwartz's five stages — across several posts, culminating in a framework.
More creatives is not more testing: change one variable per round
Nohan Decimus argues that DTC teams often think they are testing when they are really declining the same message into many thumbnails: same angle, same awareness level, same proof mechanism.
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The AAR framework names three variables: Awareness (which Schwartz stage the ad addresses: Unaware, Problem Aware, Solution Aware, Product Aware, Most Aware); Angle (the psychological mechanism under the promise, such as naming a shame versus projecting a gain, or disqualifying alternatives versus comparing directly); and Retention (what holds attention after three seconds, such as a product demo, before-and-after, numbers or user-generated content). The rule is to move one letter per cohort, never two, so the team can tell what actually shifted cost per acquisition.
The post poses a concrete count: if all 30 creatives from a month land on Solution Aware, the account has tested one of five awareness boxes. Changing the angle and awareness level on the same creative gives the team a new number but no explanation for it.
The awareness-mapping idea appears in several posts before AAR names it; the framework formalises a rule the others apply case by case.
Hook format signals awareness level; the wrong one burns cold-traffic budget
Nohan Decimus argues that the same product, creator and pain angle can perform very differently solely because of the opening format.
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A reply-to-comment opening reads as a reply rather than a pitch, lowers viewers' guard, suits Problem Aware viewers who already know they have the problem, and lets visual proof land early.
A conventional face-camera introduction announces itself as an ad within the first second, tends to address Most Aware viewers rather than the cold audience, and delays proof until around the fifteenth second, after much of the audience has skipped.
The recommendation is to keep face cam for retargeting and warm audiences.
Two scripts for one product: the comment-reply version opens with on-screen text answering a named person about a visible problem — in French, roughly 'Reply to @sarah — why my chin changed in 6 weeks' — while the creator looks at the phone and shows the chin.
The face-cam version opens, 'The serum I have used for 6 weeks,' with the creator looking straight at camera.
The post also gives a timed reply-to-comment template, from the first three seconds to a closing reassurance and call to action.
When cost per acquisition rises, the argument goes, the productive move is measurement, not production.
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Nohan Decimus recommends starting with three signals, not click-through rate or thumbnails: hook rate at three seconds, the launch date of the top five spending creatives, and awareness mapping across the last 30 creatives.
Falling click-through with a stable hook rate points to the offer rather than the ad; a collapsing hook rate means the creatives all open the same way; top spenders older than eight weeks mean a handful of tired winners are consuming most of the budget; and 28 of 30 creatives on Solution Aware or Product Aware means the account is repeating the same call to an audience it has already saturated.
The advice is to stop production for seven days, redo those readings, and relaunch three creatives — one angle per awareness level.
A DTC founder's CPA rose from 24 to 38 euros in six weeks, and the planned response was 12 new creatives that week. The post describes redirecting that effort to the three readings instead, characterising the account as filling a bucket with holes rather than scaling.
Competitor research needs entry and exit rules, or it becomes procrastination
Nohan Decimus argues that saving dozens of brands creates a screenshot graveyard, not a watchlist: at briefing time, the screenshots turn up scattered and without context.
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The method caps the active watchlist at six DTC brands in the same vertical as the current client.
A brand qualifies only if it has at least three creatives running for more than 45 days on the same Meta page.
The team tracks the same four dimensions each time: main hook, dominant format, proof mechanism and awareness level addressed.
A weekly cross-check looks for signals such as a new active creative appearing across three brands or the same format recurring across two different verticals.
The failure mode is a briefing where the scriptwriter receives three scattered screenshots without context, after the team has saved a collection of 40 brands. As the post puts it, the entry criterion ensures the team tracks ads that last long enough to be worth dissecting, not ads that simply look good.
A personal post sets out a priority rather than a method: school teaches people to wait for a mark to learn what they are worth, while the market teaches them to build something that produces a result and then measure it.
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The post frames the work as attention mechanics — which ads scale, which hooks stop the thumb, why one piece of user-generated content reaches millions of views and another dies at a few thousand — learned by studying Meta Ads Library directly rather than through a credential. It closes by asking readers which teacher, manager or parent once sorted them into a box, and what that person now consumes without knowing it came from them.
At 15, a teacher gave Nohan Decimus a dismissive verdict on their future.
Six months later, the description is a construction site with trowel, dust and leather gloves, and evenings spent reading ads instead of case studies.
The post names their current role: creative strategist on Meta and TikTok ads for French DTC brands in skincare, haircare and food.
This narrative post argues for positioning rather than method, offering context for the analytical posts rather than performance evidence. Ask for client performance data separately.
This explains how Nohan Decimus structures Meta ad tests so each round produces a usable lesson.
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It sets out the vocabulary, awareness stages and one-variable rule that appear in the other posts.
Nohan Decimus argues that launching 30 creatives with the same message is not testing.
The post defines three variables to change one at a time: awareness level, angle and retention.
Awareness means the Schwartz stage being addressed, such as Unaware, Problem Aware, Solution Aware, Product Aware or Most Aware.
Angle means the psychological mechanism under the promise—for example, named shame versus projected gain, or disqualifying alternatives versus direct comparison.
Retention means what holds attention after the first three seconds, such as a product demo, before-and-after, numbers, UGC or visual disqualification.
The post gives a concrete warning: if all 30 ads target Solution Aware, only one of five awareness boxes is being tested.
The rule is to change one letter at a time, never two, because changing angle and awareness together leaves no way to know what moved CPA.
For brands planning a campaign
A DTC skincare brand can use AAR to audit cold-traffic ads: count the awareness levels represented, check whether angle and retention vary, then build the next test cohort around one changed variable. That makes creative volume more informative and helps separate offer problems from hook or proof problems.
This explains what to inspect when CPA rises despite high creative output, and how more production can hide the problem.
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It gives a concrete client scenario for Nohan Decimus's diagnostic method.
Nohan Decimus describes a founder whose CPA rose from 24 euros to 38 euros in six weeks and who responded by launching 12 more creatives.
Rather than look at CTR or thumbnails, Nohan recommends checking three columns.
First, hook rate: if CTR falls but hook rate holds, the offer is the issue; if hook rate collapses, the ads open the same way.
Second, the launch dates of the five highest-spending ads: if all are more than eight weeks old, the account has five tired winners eating 80 percent of the budget, not 30 active ads.
Third, awareness mapping across the last 30 ads: if 28 target Solution Aware or Product Aware, the account is repeating the same cry to an already saturated audience.
Nohan advised stopping production for seven days, redoing those reads and relaunching only three ads, with one angle per awareness level.
For brands planning a campaign
For a skincare brand, run this audit before briefing new UGC: pull hook rate, check when the top-spend ads launched and map awareness levels across the last 30 ads. The results can show whether to pause production, refresh tired winners or add missing awareness levels.
This explains why the same product, creator and pain angle can perform differently on cold traffic because of hook format, not just script content.
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It shows how Nohan connects format to awareness.
Nohan Decimus compares two scripts for the same DTC product and creator.
The first uses a comment-reply format: text on screen from the first second reads, in French, 'Reply to @sarah — why my chin changed in 6 weeks.' The creator looks at the phone rather than the camera, shows the chin, explains the turning point and brings out the product.
Nohan says this lowers the viewer's guard, addresses Problem Aware viewers and delivers visual proof before five seconds.
The second uses classic face cam: 'The serum I have used for 6 weeks,' with the creator looking at the camera, smiling and presenting directly.
Nohan says it reads as an ad before the first second, addresses Most Aware viewers when cold traffic is not ready for it, and delays proof until around 15 seconds, after much of the audience has skipped.
The post includes a comment-reply mini-template with timings from 0–3 seconds through 18–22 seconds.
For brands planning a campaign
A skincare brand can test a comment-reply hook on cold traffic for a visible concern such as adult acne, placing before-and-after proof before five seconds, and reserve face-cam for retargeting or warmer audiences. That gives the team a specific creative variation to test instead of another generic UGC brief.
This explains how Nohan Decimus conducts competitor creative research that yields briefable patterns rather than scattered inspiration.
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It shows the entry criteria and tracking discipline behind the recommendations.
Nohan Decimus argues that 40 saved brands amount to a folder of ad screenshots, not competitive research.
The post describes a Claude skill called Meta Ads Analyst, connected to Apify and configured to extract, score and report on Meta Ads Library.
The working rule: keep a maximum of six DTC brands in the active watchlist, all in the same vertical as the current client, and track the same four dimensions: main hook, dominant format, proof mechanism and awareness level.
A brand enters the watchlist only when it has at least three active ads running for more than 45 days on the same Meta page.
A weekly Friday check looks for new ads active for seven days across three brands as a signal, and the same format appearing across two verticals as a stronger signal.
For brands planning a campaign
A skincare brand can narrow its watchlist to six relevant DTC brands, track the four dimensions weekly and brief creatives only from ads that have run long enough to matter. This turns Meta Ads Library from casual browsing into a testable input for creative strategy.
This explains how Nohan Decimus came to this work and why the posts emphasise market feedback over credentials.
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It names the platforms—Meta and TikTok—and the categories: skincare, haircare and food.
Nohan Decimus tells a personal story.
At 15, a teacher dismissed Nohan's future prospects.
Six months later, Nohan was on a construction site with a trowel, dust and leather gloves.
In the evenings, Nohan opened Meta Ads Library to study which ads scale, which hooks stop the thumb and why one UGC gets 5 million views while another dies at 8,000.
Nohan now describes themself as a creative strategist working on Meta and TikTok ads for French DTC brands in skincare, haircare and food.
The post ends by asking who in the reader's life once sorted them into a box, and what that person consumes today without knowing it came from them.
For brands planning a campaign
For a skincare brand, this shows narrative fit and category familiarity, but it is not a performance case study. Treat it as background when judging tone and positioning; ask separately for specific campaign outcomes and client results.
Nohan Decimus argues that many DTC brands mistake 30 creative variations for testing when they repeat the same angle, awareness level and proof mechanism.
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Their AAR Framework asks teams to change one variable at a time: Awareness, using Schwartz levels from Unaware to Most Aware; Angle, the psychological mechanism under the promise, such as naming a shame or disqualifying alternatives; and Retention, what holds attention after the first three seconds, such as product demonstration, before-and-after, numbers or UGC. The stated rule is to adjust one letter per round so the team can see what moved CPA.
AAR framework: isolate one of Awareness, Angle or Retention per creative cohort; map each creative to a Schwartz awareness level; define the proof mechanism.
For brands planning a campaign
For a DTC skincare brand targeting cold traffic, use this audit structure: map current ads by awareness level and angle, then test one new variable per cohort instead of producing more versions of the same message.
CPA diagnosis: hook rate, winner age and awareness mix
Nohan Decimus describes a DTC founder whose CPA rose from €24 to €38 in six weeks while the team planned 12 new creatives.
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Instead of CTR or thumbnails, they check three signals first: hook rate at three seconds, launch dates of the top five spending creatives, and awareness mapping across the last 30 creatives.
Falling CTR with a steady hook rate points to the offer; a collapsing hook rate points to creatives that all open the same way.
If the top spenders are more than eight weeks old, a few tired winners are consuming most of the budget.
If 28 of 30 creatives target Solution Aware or Product Aware, the account is repeating the same call to an already saturated audience.
The suggested response is to pause production for seven days, reread those three signals, and relaunch three creatives across different awareness levels.
For brands planning a campaign
A skincare brand can use the same diagnostic before scaling: separate offer problems from creative fatigue, check whether a handful of old ads dominate spend, and rebalance awareness coverage rather than ordering more ads.
Competitive watchlist discipline for Meta Ads Library
Nohan Decimus describes using a Claude/Apify tool called Meta Ads Analyst to study Meta Ads Library.
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The method limits an active watchlist to six DTC brands in the same vertical as the current client, with an entry rule of at least three creatives active for more than 45 days on the same Meta page.
Tracking focuses on four dimensions: main hook, dominant format, proof mechanism, and Schwartz awareness level.
A weekly cross-check surfaces signals such as a new active creative appearing across three brands or the same format recurring across two verticals.
Without entry and exit criteria, they say, a saved-ad collection is not a watchlist.
Six-brand cap, 45-day and three-active-creative entry rule, four tracking dimensions, weekly cross-check.
For brands planning a campaign
A skincare brand can use this as a lightweight competitor audit: track fewer brands, set clear entry rules, and consistently monitor hooks, formats and proof mechanisms instead of collecting visual inspiration without context.
Hook format: reply-to-comment versus face cam for cold traffic
Comparing two UGC scripts for the same DTC product and creator, Nohan Decimus says the performance gap comes from the hook format rather than the script.
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The reply-to-comment format opens with on-screen text answering a named person about a visible problem, the creator looking at a phone, and visual proof within five seconds.
It addresses Problem Aware viewers and lowers defenses because it reads as a reply, not a pitch.
A conventional face-cam introduction reads as an ad immediately, tends to address Most Aware viewers rather than the cold audience, and delays proof until around 15 seconds.
The post gives a mini-template for products that solve a visible pain: 0-3 seconds named reply and specific pain question; 3-10 seconds false belief and problem area; 10-18 seconds two-step protocol, product demo and before-and-after; 18-22 seconds reassurance, offer and CTA.
Face cam is suggested for retargeting and warm audiences.
Reply-to-comment hook template; awareness-matched format selection.
For brands planning a campaign
For cold-traffic skincare creative, test a reply-to-comment opening matched to Problem Aware messaging before producing more generic face-cam introductions, and reserve face-cam variants for retargeting.
In a personal post, Nohan Decimus describes leaving school at 15, working on a construction site, and studying Meta Ads Library at night to understand why some UGC ads scale and others die.
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They now work as a Creative Strategist on Meta and TikTok creatives for French DTC brands in skincare, haircare and food.
The post contrasts school grades with market feedback: school teaches waiting for a mark, while the market teaches building something that produces a result and then measuring it.
The closing asks readers which teacher, manager or parent had already put them in a box and what that person consumes today without knowing it came from them.
This is a career narrative, not a client case study; ask for brand-specific performance data.
For brands planning a campaign
The post establishes Nohan Decimus’s positioning and category focus. For a skincare brand, it supports relevance to the category and a testing-led, performance-measured approach; pair it with the framework posts for evidence of method rather than using it alone as proof of results.
The posts name no client, sponsor or partner brand.
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Nohan Decimus describes working as a creative strategist on Meta and TikTok ad creative for French direct-to-consumer brands in skincare, haircare and food, but does not identify them. The only named companies are the ad platforms and a scraping service used in a self-built Meta Ads Library analysis tool; these are working tools, not disclosed commercial relationships with the creator.
Nohan Decimus writes about Meta and TikTok ad creative for French direct-to-consumer brands.
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The five posts form a short path for readers: start with the post naming the AAR framework—Awareness, Angle, Retention—which supplies vocabulary used in the others.
Then read the account-diagnosis post on hook rate, winner age and awareness mix, followed by the side-by-side comparison of a reply-to-comment hook and a face-cam hook, the most concrete piece in the set.
The shorter post on competitor watchlists gives the working method behind the analysis.
The personal post about leaving school at 15 explains the priority behind it all: measure what the market does rather than what a credential says.
Eugene Schwartz's five awareness stages recur throughout, helping readers move between the posts without losing the argument.
Robin writes as a working agency-side practitioner, publishing step-by-step growth advice on proof, positioning, outbound and CRM.
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That operational, checklist-driven approach matches the posts Nohan Decimus publishes for DTC creative teams. Both name specific tools and examples rather than offering general encouragement, and close by asking readers a pointed question about their own setup.
Robin focuses on how an agency wins and runs client work, covering AI prospecting agents, alternative pricing models and agency models that abandon the traditional pitch.
The focus is the agency, not the ad.
Nohan Decimus works one level down, on the creative itself: hook formats, awareness levels and how to structure a test on Meta and TikTok.
Bidet explains AI agents in business and how they change day-to-day work in plain language, supported by concrete client examples.
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The structure matches Nohan Decimus's: a small framework, a worked example, then a closing question. Both write in French for owner-operators sceptical of jargon.
Bidet starts with internal operations—email handling, meeting notes and exports consolidated with the CRM—and argues for simplifying and adopting AI agents in SMEs. Nohan Decimus focuses on acquisition creative for consumer brands and judges it by measured performance, not by whether a process became easier.
Duvergé argues that a marketing problem must be diagnosed before it is solved, using a mechanic metaphor and a five-step audit.
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He also uses hard numbers—rising B2B acquisition costs and channel-by-channel CPLs—as Nohan Decimus does with hook rate and CPA movement. Both write for owner-operators who act without measuring and end with a practical framework.
Duvergé focuses on B2B demand generation—LinkedIn ads, outbound, referrals and CRM hygiene—and analyzes acquisition channels and funnels. Nohan Decimus focuses on the creative asset and the awareness level it addresses, mostly for consumer DTC brands on Meta and TikTok.
Nohan Decimus publishes as a creative strategist working on Meta and TikTok ads for French direct-to-consumer brands in skincare, haircare and food.
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Their posts discuss ad testing, hook formats and awareness mapping, not commercial terms.
Two posts invite readers to comment with a keyword or their product's main objection in exchange for a resource or two calibrated angles; these are engagement devices, not stated paid formats.
The posts publish no rate card, deliverable specification, usage or exclusivity terms, turnaround, approval process, cancellation terms or enquiry route for paid collaborations.
Before planning a partnership, ask Decimus to confirm the commercial terms and how to enquire.
Strong fit for a French DTC skincare brand that needs an audit of cold-traffic creative and a clear testing plan, not just more assets.
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Nohan Decimus's posts show them working on exactly this decision: mapping creatives to Schwartz awareness levels, separating offer problems from hook or proof problems, and choosing hook formats for cold versus warm audiences.
In one post, they set out the AAR framework — change one of Awareness, Angle or Retention per cohort, because changing angle and awareness together leaves no way to know what moved CPA.
Another post describes a CPA diagnostic that starts with three columns: hook rate at three seconds, launch date of the top five spending creatives, and awareness mapping across the last 30 creatives.
That applies directly to a skincare account where CPA is rising despite high creative output.
A third post compares comment-reply and face-cam hooks for the same product and creator, arguing that the format signals an awareness level the cold audience may not have.
The category is also familiar: they describe working on Meta and TikTok creatives for French DTC brands in skincare, haircare and food.
Their posts make them a credible fit for an audit, testing framework or creative direction for a cold-traffic skincare campaign.
The engagement is best framed around strategy and work product.
Ask separately for campaign outcomes and measurement access.
When to choose a specialist
Poor fit for a campaign that wants a creator to post sponsored UGC to a large consumer audience on TikTok or Instagram, guarantee reach, and supply fixed deliverables, usage terms and exclusivity.
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The posts do not support that use.
The only measured audience figure is a LinkedIn following of about 1,498 accounts recorded on 9 October 2026.
The posts are written in French for DTC founders and performance marketers, using ads-specific vocabulary and closing with direct questions or keyword requests.
Two use a comment-gated resource as an engagement device, but that is not a stated paid format.
The posts document no sponsorship offer, rate card, deliverable specification, turnaround, approval process, usage rights, exclusivity terms or paid enquiry route.
They also include no TikTok or Instagram transcript, video asset or performance metric.
Before booking a consumer-facing video or reach campaign, ask for audience demographics and buying behaviour, sample video assets, and confirmation of deliverables, usage rights and campaign terms.
A practitioner-facing strategy, audit or training session would be a different kind of engagement; for consumer reach and guaranteed sales, this is not the right fit based on the available evidence.
A worked campaign example
Hypothetical campaign: a French DTC skincare brand with an adult-acne serum is spending on Meta cold traffic. CPA has risen, the team is producing about 30 creatives a month, and the brand wants an audit plus two new test cohorts.
Worked angle: pause production for one week and run a creative audit before commissioning new assets. The deliverable is a diagnosis of what the current ads are actually testing, followed by one controlled test cohort.
Step 1: pull the last 30 creatives and tag each one with its Schwartz awareness level — Unaware, Problem Aware, Solution Aware, Product Aware or Most Aware — plus the angle and proof mechanism.
If most creatives are aimed at Solution Aware or Product Aware, the account is repeating the same message to an audience that has already seen it.
In the CPA diagnostic, Nohan Decimus describes 28 of 30 creatives on the same awareness levels as the account repeating one call rather than scaling.
Step 2: check hook rate at three seconds against CTR.
If CTR is falling but hook rate holds, the offer is the first place to look.
If hook rate is collapsing, the openings are too similar.
This distinction in the CPA diagnostic helps the team avoid ordering more thumbnails when the problem is the offer or the first three seconds.
Step 3: check the launch date of the top five spending creatives.
If all of them are more than eight weeks old, the account has tired winners eating most of the budget, not 30 active ads.
Refresh those before adding volume.
Step 4: build one cohort that changes a single AAR variable.
For cold Problem Aware viewers with a visible concern such as adult acne, test a reply-to-comment hook.
The sequence in the posts is: 0–3 seconds, on-screen reply to a named person with a specific pain question; 3–10 seconds, the false belief and the problem area on screen; 10–18 seconds, a two-step protocol, product demonstration and before-and-after proof; 18–22 seconds, two reassurances, the offer and the call to action.
Keep the classic face-cam version for retargeting and warmer audiences, where the audience already knows the product and proof can arrive later.
Step 5: run a competitor watchlist alongside the test: six DTC brands in the same vertical, each entering the watchlist only after at least three active creatives have run for more than 45 days.
Track main hook, dominant format, proof mechanism and awareness level weekly.
The aim is briefable patterns, not a folder of saved ads.
Measurement: compare hook rate, CTR and CPA by awareness cohort.
Do not change angle and awareness in the same cohort.
Outcomes will depend on the offer, product, landing page and account history.
Consider Marie Robin when the hard part of a skincare campaign aimed at improving cold-traffic performance is not the ad itself but how the work gets organised around it: how an in-house content function or candidate agency sharpens its positioning, what supports the offer, and which growth levers to pull when competition has intensified.
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The posts offer a practical checklist for judging a creative partner — a clearly defined ICP, case studies with numbers, a proprietary method that solves a narrow problem — and point to agency formats worth studying, such as behind-the-scenes video, podcasts and TikTok series. For a brand deciding whether its agency or internal team is set up to improve cold-traffic performance, that is the more useful lens.
The tradeoff is altitude.
Marie Robin's material stays at agency strategy and business models: value proposition, founder-led communication, CRM discipline, client experience, and alternative models such as subscription design or equity in clients.
It does not show how to read a Meta ad, map creatives to awareness levels, or choose a cold-traffic hook format.
If the decision is which opening format to test on a serum for adult acne, this work does not answer it; it addresses the layer above.
Consider Cédric Bidet when the bottleneck behind the campaign is operational rather than creative: repetitive reporting, manual data extraction, e-commerce figures that have to be reconciled with the CRM and sales targets, meeting recaps, or attachments filed by hand.
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The posts describe building lightweight AI agents for small and mid-sized companies to remove exactly those irritants, argue that an agent has to fit an organisation's processes, confidentiality constraints and existing tools rather than sit on top of them, and state a starting price of €150 per month with no commitment. For a skincare brand already producing many creatives and drowning in reporting, that solves a real constraint.
The tradeoff is subject matter.
Nohan Decimus's posts do not address ad creative: no hook formats, awareness mapping, Meta or TikTok creative analysis, hook rate or CPA diagnostics.
Choosing this route reduces friction and returns time, but leaves the cold-traffic performance question open.
The two are complements, not substitutes; this work should not be framed as a creative audit.
Consider Pierre Duvergé when the question is wider than creative: when the brand, or the group behind it, needs to check acquisition economics before spending more.
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The posts set out a marketing audit built on ICP and real promise, a radiology of every channel, regeneration of the components that actually convert, and translation of the audit into a cleaned CRM, clarified messaging and ready outbound sequences with a 90-day horizon.
They also publish cost benchmarks — B2B acquisition costs up 40 to 60% between 2023 and 2025, LinkedIn cost per lead between €900 and €1,850 in B2B services, cold outbound around €1,820, referral around €140 — and a free spreadsheet for recalculating real CAC.
That is the right fit when cost assumptions dating from 2022 are more likely to be the problem than the hooks.
The tradeoff is audience and channel.
The material is framed for SMEs and B2B services, with B2B cost-per-lead figures and outbound sequences.
It does not cover consumer creative, hook rates, awareness levels or Meta Ads Library analysis, so it will not tell a DTC skincare brand which cold-traffic hook to test or how to map existing ads to awareness stages.
If the decision is a creative audit, this work informs the budget around it but not the creative call itself.
This page draws on five LinkedIn posts written by Nohan Decimus, read in full from an account observed on 9 October 2026.
The posts do not say when they were individually published.
They cover Meta ad testing, CPA diagnosis, competitive ad tracking, hook format selection, and a first-person account of moving into ad strategy; all five are available here as complete text rather than excerpts or titles.
The three similar-creator comparisons on this page use two saved posts each from those creators, published between November 2025 and September 2026.
What the posts do not include shapes what the page can claim: no video, transcript, audio or visual asset from TikTok or Instagram appears here, so on-camera or consumer-facing video work is not described; no performance results, client figures or case study appear here, so no campaign outcome is asserted; and no post names a client, sponsor, partner or employer, so the brand relationships list stays empty rather than claiming none exist.
The ad platforms and scraping tool named inside one post are working tools, not disclosed commercial relationships.
A LinkedIn follower count of about 1,498 accounts was visible on 9 October 2026; the posts do not show audience age, country, seniority or buying behaviour.
