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Ben Radack 🏝️ ✓

@benradack · Los Angeles, CA · joined 14 Sep 2020

Meta ads media buying + creative for DTC brands. Small senior team, zero big agency energy. Book a free strategy call with me below.

18 524Followers
665Following
12 738Posts total
65.2KViews on collected posts

Neueste Beiträge

I doubled my client's ROAS in just 1 week Here's the reality of what it took to get here... 1. We changed the offer → Instead of selling one big product, we broke it into smaller packets and sold it as a kit → Added the option to subscribe for a discount 2. I launched a http
1.5K views · 16 likes · 3 reposts · 7 replies Open on X →
Unpopular opinion... Whitelisting doesn't work anymore I think customers figured it out. The magic isn't there And I haven't been seen a major lift lately Anybody else see something different? Have you done a proper test? Maybe I'm wrong! 10.3K views · 28 likes · 1 reposts · 22 replies Open on X →
Lazy media buying is indeed the problem. If you just drop every ad into one CBO ad set and walk away, you're blindly trusting Meta. It picks 3 favorites and may ignore real winners (I have countless examples) Instead, try this: → Separate your creative into multiple ad sets 11.3K views · 60 likes · 4 reposts · 14 replies Open on X →
You can run your whole account in one big CBO - Here's how: → 1 ad set for historical winners → 1 new testing ad set per batch of creative, each with a min and max spend limit → Large batch tests inside those testing ad sets → As a testing ad set proves itself, raise or https://
3.7K views · 37 likes · 7 reposts · 8 replies Open on X →
If you're ready to scale further on Meta this Q1 - with better creative and smarter media buying. Book a free strategy call with me: https://t.co/HzXAFgjkMD 1.2K views · 2 likes · 0 reposts · 1 replies Open on X →
@benradack 📈📈 915 views · 3 likes · 0 reposts · 1 replies Open on X →
I took over this account 2 days ago and dropped their CPA by 74%. All with a SUPER simple account structure & testing strategy Creative Testing - ABO → Went through their ad library (hundreds of ads) → Batch tested a ton of them across 5 different ad sets → Yes, Meta skipped ht
36.3K views · 222 likes · 16 reposts · 33 replies Open on X →

Im Vergleich zu Konten gleicher Größe

4 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe6 994dieses Konto924Median für 10K–100K
Reichweite, %37.75%dieses Konto3.62%Median für 10K–100K
Interaktion, %1.04%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag6 9949247.57×
Reichweite (Aufrufe ÷ Follower)37.75%3.62%10.4×
Interaktionsrate1.04%1.52%0.69×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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

36.3K28 Dec
915
1.2K
3.7K20 Sep
11.3K21 Sep
10.3K22 Sep
1.5K

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

0.75%28 Dec
0.44%
0.24%
1.40%20 Sep
0.69%21 Sep
0.52%22 Sep
1.74%

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

What the audience does

Likes40.5%368 in total
Reposts3.4%31 in total
Replies9.5%86 in total
Quotes0.2%2 in total
Bookmarks46.4%422 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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