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Eric Seufert ✓

@eric_seufert · Austin, TX · joined 17 Jul 2010

Analyst, Mobile Dev Memo: https://t.co/EcloLcVMs4 | Author, Freemium Economics (Elsevier) | Theseus: https://t.co/auGL646RuR. Per commercium virtus.

49 223Followers
2 100Following
22 919Posts total
32.8KViews on collected posts

Neueste Beiträge

@eric_seufert Thanks for the article. This tension is real. Read the AI crowd on X and you'd think Muse is going to wipe everything out in the next 6 months. Go to YouTube or Spotify and listen to pods by SEO experts, and it's a different world — one that looks a lot more like yo 31 views · 1 likes · 0 reposts · 0 replies Open on X →
@eric_seufert LOL 27 views · 1 likes · 0 reposts · 0 replies Open on X →
@eric_seufert Is thisa new format you’re trying? I always like your content, but this one is too wordy. I’d rather have an AI summarize into 4-5 sentences :) 45 views · 1 likes · 0 reposts · 1 replies Open on X →
https://t.co/dfh0OXXA8o 10K views · 70 likes · 5 reposts · 9 replies Open on X →
Related: Meta’s AI opportunity, whatever the pace https://t.co/CmqQt1rPOk 316 views · 0 likes · 0 reposts · 0 replies Open on X →
@eric_seufert @grok how many total downloads you think muse has in millions 1.1K views · 1 likes · 0 reposts · 1 replies Open on X →
ChatGPT introduces conversational ads and a Shopify integration https://t.co/wHGDzqHl7u 572 views · 0 likes · 0 reposts · 0 replies Open on X →
Meta's Muse is the #1 Top Downloaded app in the US App Store. https://t.co/bgVdiTlXvU
2.7K views · 28 likes · 0 reposts · 4 replies Open on X →
I've recently added two features for Mobile Dev Memo Pro subscribers: natural language search for app store chart rankings and audio versions of new MDM posts. Natural Language Chart Search MDM Pro subscribers can now search App Store and Google Play chart rankings in plain htt
984 views · 7 likes · 1 reposts · 1 replies Open on X →
Can bottom-up clustering improve performance in generative retrieval? A new paper from researchers at PayPal explores whether creating semantic IDs (SIDs) through a bottom-up clustering process can better capture local relationships between similar items while also ensuring that
1.2K views · 6 likes · 1 reposts · 1 replies Open on X →
@eric_seufert Man great job 👏 bravo 48 views · 2 likes · 0 reposts · 0 replies Open on X →
@eric_seufert Eric you operate at a different level on this series. This is probably would be right there at the top among your best work. Had already listen to the 4 episodes & this collective transcript is a nice icing on top. My dream is Susan Li reads this in Meta’s next earn 154 views · 1 likes · 0 reposts · 1 replies Open on X →
@eric_seufert Very thought provoking. I just finished listening to the podcast. Thank you for sharing. 201 views · 2 likes · 0 reposts · 1 replies Open on X →
https://t.co/6ibiVIz6Bw 15.5K views · 42 likes · 7 reposts · 8 replies Open on X →

Im Vergleich zu Konten gleicher Größe

10 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. liegt bei Reichweite und Interaktion unter vergleichbaren Konten.

Medianaufrufe778dieses Konto924Median für 10K–100K
Reichweite, %1.58%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.91%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag7789240.84×
Reichweite (Aufrufe ÷ Follower)1.58%3.62%0.44×
Interaktionsrate0.91%1.52%0.60×

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

15.5K4 Jul
201
1545 Jul
486 Jul
1.2K18 Sep
984
2.7K
572
1.1K
316
10K23 Sep
4524 Sep
27
31

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.38%4 Jul
1.49%
1.30%5 Jul
4.17%6 Jul
0.68%18 Sep
0.91%
1.18%
0.00%
0.18%
0.00%
0.90%23 Sep
4.44%24 Sep
3.70%
3.23%

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

What the audience does

Likes45.3%162 in total
Reposts3.9%14 in total
Replies7.5%27 in total
Quotes2.0%7 in total
Bookmarks41.3%148 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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