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Adam Taylor ✓

@adamtaylorl · New Winning Ads → · joined 06 Jul 2016

Building ad creative systems to unlock winning angles and scale Meta brands past $1M/mo spend without breaking CPA | https://t.co/5dX0auVFQA

16 243Followers
595Following
14 125Posts total
86.5KViews on collected posts

Latest posts

We've generated $100M+ on Meta and TrendTrack is behind some of our biggest scaling decisions. Just switched our research → angle → offer pipeline to their new Q4 Mode. Here's how we use it (and what's actually winning for Black Friday) 🧵 1K views · 6 likes · 0 reposts · 2 replies Open on X →
If I was launching a new video ad and wanted it to scale on cold traffic, I'd put one line of text on the first frame that names the problem in the customer's own words. 1) The viewer knows the ad is for them before the audio even starts 2) The visual is free to show anything, h
1.3K views · 10 likes · 0 reposts · 7 replies Open on X →
What $300K/mo brands call "making ads" vs how $3M/mo brands actually make ads $300K version: • Founder makes ads every morning • 2 strategists, but every winner is his • Always iterating on old winners • "We've tested everything" $3M version: 6.1K views · 24 likes · 0 reposts · 4 replies Open on X →
A masterclass on how to run BFCM on Meta and break your revenue record this year: https://t.co/zlEN6mDcaM
1.8K views · 14 likes · 1 reposts · 5 replies Open on X →
Scaling Meta isn't about making more ads. It's about finding the exact angles that convert. We build a Creative Data System that drops CPA by 35% on average -- without you touching a single ad. Book a Creative Planning Call 👇 https://t.co/PoUZwT9r3z 1.1K views · 1 likes · 0 reposts · 0 replies Open on X →
@adamtaylorl Sauce central 1.5K views · 2 likes · 0 reposts · 2 replies Open on X →
A masterclass on how to scale to $1M/mo Meta ad spend without destroying your CPA in ANY industry within 90 days: https://t.co/ZZHGeOISbg
73.7K views · 625 likes · 52 reposts · 25 replies Open on X →

Against accounts of the same size

4 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views1 534this account924median for 10K–100K
Reach, %9.44%this account3.62%median for 10K–100K
Engagement, %0.95%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 5349241.66×
Reach (views ÷ followers)9.44%3.62%2.61×
Engagement rate0.95%1.52%0.63×

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

73.7K6 Apr
1.5K
1.1K7 May
1.8K21 Sep
6.1K
1.3K
1K22 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.95%6 Apr
0.26%
0.09%7 May
1.13%21 Sep
0.46%
1.31%
0.78%22 Sep

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

What the audience does

Likes30.3%682 in total
Reposts2.4%53 in total
Replies2.0%45 in total
Bookmarks65.4%1 472 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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