[Lead magnets · Performance marketing]

Exemples de lead magnets LinkedIn en performance marketing

Des posts réels « commente un mot, reçois la ressource » en performance marketing, classés par score de viralité. Mis à jour en direct depuis notre base d'analyse LinkedIn.

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21
Posts analysés
61
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[Classement · par viralité]

Les 21 meilleurs lead magnets en performance marketing

1

Performance marketing

Post LinkedIn

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J'ai passé des semaines à décortiquer Andromeda. J'en ai sorti un playbook interne de 43 pages pour produire des créas vraiment distinctes aux yeux de l’algo. Et j’ai décidé de l’offrir. Parce que 90% des marques qu’on audite brûlent leur budget sur des créas qui n'existent pas aux yeux de Meta. Je m'explique. Vous lancez 10 variantes par semaine. Nouveaux hooks. Nouvelles accroches. Nouvelles couleurs. Vous appelez ça du "creative testing". Meta appelle ça : la même publicité. Andromeda regroupe vos variantes en clusters. Si vos créas partagent le même concept, le même angle, le même persona cible, elles sont fusionnées. Une seule impression. Un seul apprentissage. Zéro diversification. Résultat ? → Vous brûlez du budget sur des tests qui n'en sont pas. → Vos CPAs explosent sans explication. → Vos "winners" meurent en 2 semaines. → Et vous pensez que c'est l'algo qui déconne. L'algo ne déconne pas. Il vous punit. Il punit la paresse créative déguisée en volume. Il punit les itérations cosmétiques. Il punit ceux qui testent des accroches au lieu de tester des visions du monde. Voici ce que j'ai mis dans le playbook : → La vraie grille de lecture de la diversité (ce qui compte vs. ce qui est ignoré) → 10 contre-exemples de diversité créative et 10 exemples de VRAIE diversité créative → Le test du floutage pour auditer vos créas en 10 secondes → Le Cascade Testing : Segment, puis Persona, puis Angle (l'ordre compte) → Les seuils de validation créa (dépense, volume, KPIs) → Une checklist Andromeda-friendly pour vos briefs C'est le système qu'on utilise chez DHS pour scaler sans exploser nos CPA. Commentez "PLAYBOOK" et je vous l'envoie en MP.

Commentez "PLAYBOOK" et je vous l'envoie en MP.

82 209 0×3.3
2

Performance marketing

Post LinkedIn

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Google pushed modeled conversions even harder in Q1 2026. Search Terms reports are now 30 to 40% estimated data. Meta CAPI signal quality dropped to 68% across the accounts I audited last quarter. Most operators are making decisions on data that's lying to them. They just don't know which 30% is fiction. I watched a senior media buyer spend 5 hours last week pulling reports across Google Ads, Meta, and GA4 into one spreadsheet. Copy-pasting. Sorting. Guessing what's real. 5 hours. Every Monday. On modeled data. I ran the same accounts through my Claude system. Audit. Triage. Signal check. Done. 13 minutes. Zero guesswork. It found $11,400 in misattributed CAC the operator missed completely. 2,000+ search terms triaged in 60 seconds. Two Meta ad sets bidding against each other across 4 campaigns. → /conversion-audit on the real spend data → /search-term-triage with intent scoring → /signal-audit cross-checking GA4 + Meta + CRM → Anomaly flags ranked by dollar impact → A memory that learns from your corrections every week The operator went from 5 hours to 13 minutes per Monday. False positive rate dropped from 70% to near zero. I built this on real accounts. Real client money. Real spend. Now I'm showing you how to wire the same system. Thursday May 7. 12 PM ET. Live. Free. 90 min. Three Claude Code systems running on a real $140k/mo account. Live, blind, no rehearsal. 900+ operators already run pieces of this stack. 287 live seats registered. Comment "CLAUDE" and I'll DM you the workshop link.

Comment "CLAUDE" and I'll DM you the workshop link.

137 456 0×2.9
3

Performance marketing

Post LinkedIn

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This TikTok Shop system replaced a $450,000/year production team. We built a fully automated system that launches shoppable TikTok Shop content across hundreds of creator-style accounts fully with AI. It feels like running Facebook ads in 2017. It’s an AI content funnel driving nonstop organic sales — that: - Costs $0 in creators or UGC production - Takes 0 minutes to produce new content - Scales 10× faster than traditional creative teams - Runs with $0 ad spend — fully organic And the results? - 300% ROAS in 10 days - 6.2× engagement vs real UGC - 92 days of content produced in 1 hour - 98% of viewers couldn’t tell it was AI-generated Here’s the wild part: This entire system runs on a $100/month AI stack, replacing $15-50k+/month in creators, agencies, and production. What’s inside the stack: - Nano Banana Pro → UGC-style image generation - MakeUGC + Veo 3.1 → hyper-realistic UGC-style video creation - Kling 2.6 → motion control, shot consistency and replication at scale - AI Agents handle the rest → profiles, posting, scaling. No touchpoints. No delays. How it works: - Winning TikTok Shop content is scraped - Rebuilt with new hooks & angles - UGC-style videos are generated and posted daily Once a concept works… Pumping out high-performing variations at scale, posting nonstop across our AI account network, all driving traffic back to your TikTok Shop listings. No creators. No management. No scaling ceiling. Just AI content at scale. Want the full system? Comment “Tiktok” and I’ll send everything. (Must be connected) PS – Repost for early access to the full TikTok Shop system.

Comment “Tiktok” and I’ll send everything.

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4

Performance marketing

Post LinkedIn

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Get the script (free with an email registration):

134 26 0×1.7
7

Performance marketing

Post LinkedIn

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This TikTok Shop system replaced a $550,000/year production team. We built a fully automated system that launches shoppable TikTok Shop content across hundreds of creator-style accounts fully with AI. It feels like running Facebook ads in 2016. It’s an AI content funnel driving nonstop organic sales — that: - Costs $0 in creators or UGC production - Takes 0 minutes to produce new content - Scales 10× faster than traditional creative teams - Runs with $0 ad spend — fully organic And the results? - 220% ROAS in 10 days - 4.2× engagement vs real UGC - 90 days of content produced in 1 hour - 99% of viewers couldn’t tell it was AI-generated Here’s the wild part: This entire system runs on a $100/month AI stack, replacing $15-50k+/month in creators, agencies, and production. What’s inside the stack: - Nano Banana Pro → UGC-style image generation - MakeUGC + Veo 3.1 → hyper-realistic UGC-style video creation - Kling 2.6 → motion control, shot consistency and replication at scale - AI Agents handle the rest → profiles, posting, scaling. No touchpoints. No delays. How it works: - Winning TikTok Shop content is scraped - Rebuilt with new hooks & angles - UGC-style videos are generated and posted daily Once a concept works… Pumping out high-performing variations at scale, posting nonstop across our AI account network, all driving traffic back to your TikTok Shop listings. No creators. No management. No scaling ceiling. Just AI content at scale. Want the full system? Comment “Tiktok” and I’ll send everything. (Must be following) PS – Repost for early access to the full TikTok Shop system.

Comment “Tiktok” and I’ll send everything.

142 350 0×1.0
10

Performance marketing

Post LinkedIn

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We’re getting more conversions from AI-generated ads than traditional creatives now. and the brands winning today aren’t the ones with the biggest budgets… they’re the ones who learned how to scale AI ads before everyone else. most companies are still stuck on the old UGC model — slow shoots, inconsistent creators, expensive testing — while the real shift is happening right under them. the future of high-performing ads isn’t coming from creators or agencies. think about it… when a brand needs 50 new ad variations, they no longer hire a team — they prompt an AI ad engine that writes, edits, and produces everything in minutes. your ads either convert in this new ecosystem… or you get buried by brands that produce 10x more content at 1/10th the cost. right now, this is the Facebook Ads 2016 moment for AI-driven creative. AI ad systems are improving faster than any creator workflow before them — and almost no one understands how to fully optimize for them yet. this isn’t the same as using ChatGPT to write a script. AI ads require a totally different approach: a different performance structure, a different creative logic, a different way to engineer hooks, emotions, and outcomes. I just built a full guide that shows you how to create, optimize, and scale AI ads using the exact system top DTC brands are quietly adopting right now. this is the earliest you’ll ever be to a creative shift this big. want the AI ads playbook? connect with me and comment “Ads” I’ll send it over.

connect with me and comment “Ads” I’ll send it over.

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11

Performance marketing

Post LinkedIn

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This AI Agent got 3M impressions + $597K in sales for $6K.... This AI Agent replaced a $25K/month SEO team with $1K/month in compute and turned organic search into a compounding revenue engine. Here’s what changed 👇 SEO is dead if you’re still playing Google-only. The winners now rank on: ✅ Google ✅ ChatGPT ✅ Perplexity ✅ Claude AI search layers (AEO + GEO) And almost no one is optimized for that. So we built an AI Agent that is. Before: → $25K/month on marketing → 6 months → Agencies, writers, backlinks → $0 attributable revenue After: → $1K/month running an AI Agent → 6 months → Fully autonomous AEO + GEO + backlinks execution → $597,000 in tracked revenue Here’s what the agent actually does: 👉 Scrapes competitors + AI answers (ChatGPT, SERPs, GEO layers) 👉 Rewrites pages to win answer slots, not just rankings 👉 Publishes daily across buyer-intent keywords 👉 Continuously updates content based on impressions + clicks 👉 Trains itself weekly on what converts, not what “ranks” 👉 Backlinks + directory listings. No content team. No waiting 12 months “to see if SEO works.” Just compounding distribution inside AI search. The unfair advantage... Once you’re embedded in AI answers, traffic doesn’t decay, it stacks. That’s why this isn’t SEO.... It’s an AI Growth Asset. If you’re spending $5K–$25K/month on marketing with unclear ROI, this replaces it. If you want this for your business comment "SEO Agent" and I will hook you up for only $1K per month - your mind will be blown!

If you want this for your business comment "SEO Agent" and I will hook you up

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12

Performance marketing

Post LinkedIn

Vidéo

Comment 'AGENT' & Repost and I’ll send you the link to our agent.

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13

Performance marketing

Post LinkedIn

Vidéo

I just built a Claude skill that audits your entire Google Ads account in under 5 minutes 🤯 One prompt → a full account score, wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Google Ads but have no idea how much budget is leaking. If you're managing Google Ads and your "optimization" process is logging in, staring at the dashboard, sorting by cost, and hoping you spot the problem before it costs you another $500... This audit skill finds it for you: → Connects to your live Google Ads data via MCP → Scores your account across 6 dimensions: wasted spend, search term quality, keyword health, quality scores, budget allocation, and creative performance → Calculates your exact wasted spend in dollars — search terms burning budget with zero conversions → Flags quality score issues dragging up your CPCs → Identifies keyword cannibalization across campaigns → Surfaces your top 5 highest-priority fixes ranked by budget impact → Generates a clean audit report you can hand to a client or share with your team No CSV exports. No pivot tables. No guessing where the money went. What you get: → A single Claude skill file you install once → An account health score (0-100) every time you run it → Exact dollar amount of wasted spend identified → Prioritized action list — not "optimize your account," but "pause these 12 search terms and save $847/month" → Works with any Google Ads account connected I'm giving away the full audit skill — the actual .md file you drop into Claude and run against your own account. Want it? Like this post Comment "SKILL" And I'll send it over (must be following so I can DM)

Comment "SKILL"

77 123 0×0.5
17

Performance marketing

Post LinkedIn

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VEO 3.1 + Nano Banana 2 just completely changed how I produce UGC. Honestly, I’m not going back. A few months ago my workflow looked like this: Write scripts → brief creators → wait for footage → request edits → hope one ad actually performs. Hours wasted. Money wasted. Energy wasted. Now? My AI UGC stack handles most of it. No creator delays. No $18K/month agency retainers. No burnout after making video #50. After testing pretty much every AI video tool this year, this is the setup that actually works: VEO 3.1 + Nano Banana Pro + MakeUGC = scalable UGC-style ads without the usual production chaos. What this combo can do now: - Turn a single product image into dozens of ad-ready videos - Auto-generate hooks, angles, captions, and CTAs - Create realistic talking-head style avatars - Produce endless variations for TikTok, Reels, and Meta ads - Keep branding consistent across hundreds of creatives This week alone we generated 550+ ad variations. And the crazy part? Performance matched some of our best real-creator campaigns. The difference? I saved 10+ hours every single day. So I documented the entire workflow: - How to train AI agents to produce native-feeling UGC - Prompts for viral hooks and scroll-stopping patterns - The workflow that outputs 20–50 ads in minutes - When humans should step in for creative quality control - How to scale winning ads to $2k–$6k/day This is the same type of setup a lot of DTC and info brands are quietly starting to use. If you want the full system: Connect with me and comment “UGC” and I’ll send it over. P.S. If enough people want it, I’ll also share the exact prompt stack we use. Repost for priority access.

comment “UGC” and I’ll send it over.

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21

Performance marketing

Post LinkedIn

Texte

comment "ATTRIBUTION" and i'll DM you the link the second it goes up.

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