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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 090Followers
2 100Following
22 881Posts total
22.8KViews on collected posts

Latest posts

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 →

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views778this account927median for 10K–100K
Reach, %1.58%this account3.40%median for 10K–100K
Engagement, %0.80%this account1.54%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post7789270.84×
Reach (views ÷ followers)1.58%3.40%0.47×
Engagement rate0.80%1.54%0.52×

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

15.5K4 Jul
201
1545 Jul
486 Jul
1.2K18 Sep
984
2.7K
572
1.1K
316

Last 10 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%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes53.9%89 in total
Reposts5.5%9 in total
Replies10.3%17 in total
Quotes0.6%1 in total
Bookmarks29.7%49 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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