Professor Charley T | The Meta Ads Guy ✓

@CTtheDisrupter · Atwater Village, CA · joined 14 Jul 2020

I Help Operators and Marketers Make More Money - Founder of Disrupter Academy | Inventor of the 3:2:2 Method, One Campaign Method and 4Pi

21 886Followers

6 085Following

53 226Posts total

3KViews on collected posts

Últimas publicaciones

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter22 Sep

Diary of the Disrupter:Lessons from $1B in Spend Entry #221 How Meta, Google, and Email Feed Each Other Most brands treat Meta, Google, and Email like competitors. They’re not. They’re a system. Each one plays a different role in the customer journey — and when they work ht

221 views · 2 likes · 0 reposts · 0 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter22 Sep

I think it's hilarious that if I make a joke about performance being bad, the volume of engagements I get from low-integrity operators is massive. When I explain why what they're doing is detrimental to their goals and their clients, I don't hear a fucking peep. The truth is, 430 views · 0 likes · 0 reposts · 0 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter22 Sep

Diary of the Disrupter: Lessons from $1B in Spend Entry #220 Training Ads to Win Long-Term (Not Just Day 1) Day 1 performance is not the verdict. It’s just the introduction. When an ad launches, the system starts learning who responds to it. Those early signals shape how ht

228 views · 0 likes · 0 reposts · 0 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter22 Sep

@CTtheDisrupter The underused version of this test: geo holdouts instead of a full channel pause. Turn off Meta in 20% of DMAs for two weeks instead of everywhere. Same halo effect data, without tanking total revenue while you're still trying to diagnose the problem. 15 views · 0 likes · 0 reposts · 0 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter21 Sep

@CTtheDisrupter Wow just things we all knew years ago Y are you just catching on 4 views · 0 likes · 0 reposts · 0 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter21 Sep

@CTtheDisrupter when you cut one thing the rest slips and i've seen your ripple point hold true 🙂 7 views · 0 likes · 0 reposts · 0 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter21 Sep

Diary of the Disrupter: Lessons from $1B in Spend Entry #219 Diagnosing Cross-Platform Behavior Reading channel impact without guesswork Channels don’t work in isolation. They influence each other. But most attribution models treat them like silos. They credit the last http

664 views · 3 likes · 0 reposts · 4 replies Open on X →

Professor Charley T | The Meta Ads Guy ✓@CTtheDisrupter21 Sep

Be "less profitable" to make way more money Most agency bro scaling strategies essentially cripple growth at the expense of looking busy and feeling productive. Your goal is to build a predictably profitable business. In this video, I break down the exact framework to scale 1.4K views · 1 likes · 0 reposts · 0 replies Open on X →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a menos gente que cuentas de su tamaño.

Visualizaciones medianas224esta cuenta924mediana de 10K–100K

Alcance, %1.03%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.00%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	224	924	0.24×
Alcance (visualizaciones ÷ seguidores)	1.03%	3.62%	0.28×
Tasa de interacción	0.00%	1.52%	0.00×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.4K21 Sep

664

1522 Sep

228

430

221

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.14%21 Sep

1.05%

0.00%

0.00%22 Sep

0.00%

0.90%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes46.2%6 in total

Replies30.8%4 in total

Quotes7.7%1 in total

Bookmarks15.4%2 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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