Comment scaler sur Meta en analysant et en prenant des meilleures décisions:
Sur Meta tu ne scale pas parce que tu es créatif ou chanceux.
Tu scales parce que tu prends des décisions basées sur la data.
Ceux qui parlent de "malchance sur Meta" n'ont juste pas encore compris comment ça marche.
Voilà 5 vérités que 95% des ecoms ignorent :
1. Ton ROAS n'est composé QUE de 4 métriques : CPM, CTR, Conversion Rate, AOV. Change une seule légèrement, tout bouge en cascade.
2. 2 personnes lancent la même ad, même offre, même funnel. Résultats totalement différents. C'est pas de la chance, c'est l'environnement (Business Manager, ad account, page).
3. Les hacks que personne mentionnent
4. Comment lire ta data et prendre des meilleures décisions
J'ai condensé 5 ans de Media Buy Meta en une vidéo de 34 minutes.
Commente "META" + RT et je t’envoie la vidéo et le notion en dm.
ps: tu dois me suivre
i've been running Higgsfield's NEW Ad Multiplier + Claude Opus 5.0 since it came out yesterday to rebuild our proven Meta ads winners into 25+ fresh variations inside 1 conversation...
and it has been ABSOLUTELY cooking
so i've decided to document the ENTIRE workflow...
covering the setup, reverse-engineering your winner, image gen, animation, copy, and campaign structure to take ONE proven ad and multiply it into a full creative batch in a single afternoon as a service based business (agency, firm, brick and mortar, consultant, etc)
here's what's included inside the guide:
→ Higgsfield MCP + Ad Multiplier setup in 5 minutes (https://t.co/xMyAvg7v9p integrations → paste mcp URL → authorize. 30+ image and video models inside one Claude chat)
→ phase 1, reverse-engineer your winner (teardown prompt that isolates the exact hook, trigger, and proof point carrying the ad, so every variation keeps the winning DNA)
→ phase 2, multiply the visual with ChatGPT Images 2.0 (6 variations distinct enough to clear Andromeda's similarity grouping in under 90 seconds. model selection table covering ChatGPT Images 2.0, Soul 2.0, Nano Banana Pro)
→ phase 3, scroll-stop motion with Seedance 2.0 (turn each winner into a cinematic loop. first 0.5s stops the scroll. one client hit 5.1% CTR week one... their highest-performing creative ever)
→ phase 4, the multiplied copy stack (loss aversion, authority + specificity, contrarian, identity, re-pointed at every buyer. 24 ready-to-test ad combinations from one session)
→ phase 5, campaign structure built for Andromeda (20-25 distinct variations in one ad set, day 3 signal thresholds, day 7 kill and scale criteria, the 3 highest-probability winners to launch first)
all backed by $10M+ generated through Meta ads funnels for service-based businesses (and a legal funding client we expanded from 8-12 to 100+ creative variations per month using this method... even finding 3 winners that scaled him to $89k/mo within 90 days)
like + comment "MASTER" and i'll send it over
(must be following + RT for priority access)
most ecom ads sell the product
the best ones sell the human need behind it
supplements sell safety
fashion sells belonging and status
luxury sells esteem
education sells self actualization
once you know which need your product satisfies
your hooks and angles become much easier to write
i broke down the full human needs framework for ecom
rt + comment “needs” and i’ll send it
(follow for dm)
@FCBJimmy_ Hearing you talk, you realize the best always get hated on. You say that, but the "here we go" had already been dropped days earlier anyway, and nothing was going to stop it—to me, that’s what’s impressive.