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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

Latest posts

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 →
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 →
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 →
@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 →
@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 →
@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 →
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 →
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 →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers of the same size.

Median views224this account924median for 10K–100K
Reach, %1.03%this account3.62%median for 10K–100K
Engagement, %0.00%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2249240.24×
Reach (views ÷ followers)1.03%3.62%0.28×
Engagement rate0.00%1.52%0.00×

Others in this range →   Compare with another account →   How these benchmarks are built →

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
7
4
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%
0.00%22 Sep
0.00%
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.

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