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Foursquare ✓

@Foursquare · New York, NY · joined 01 Dec 2016

Connect real-world behavior to your business outcomes 📍 We’re the location intelligence layer for marketers, developers, and spatial analysts.

22 849Followers
1 425Following
2 642Posts total
3.4KViews on collected posts

Neueste Beiträge

⚙️✨ New developer tool: the FSQ Places API for Partners! Now available in beta, this API is a self-serve way for you to ingest and integrate your dataset with the FSQ Places dataset. How it works: → Each of your records will be matched to an existing Foursquare POI. → If https 416 views · 2 likes · 0 reposts · 1 replies Open on X →
What’s in Q4? Sports games galore!  🏈🏒⚾️ Fans will be treated to a massive lineup, including college football, NFL, NHL, and the World Series. How are you keeping your brand in the game? Location-based targeting lets you reach high-intent fans right when they’re locked into htt 754 views · 2 likes · 0 reposts · 1 replies Open on X →
Get our Q4 Targeting Guide here for your sports targeting playbook 👇 https://t.co/hpvVcSMAVL 161 views · 0 likes · 0 reposts · 0 replies Open on X →
School lists, good deals, or kids' preferences - what actually decides what goes into back-to-school carts this year? 🤔 It’s a familiar balance for parents! While kids' picks have the most influence, supply lists and sales are right behind. And since 71% of families finish http 412 views · 4 likes · 0 reposts · 0 replies Open on X →
🌍🌡️ 20+ new environmental datasets from NASA, NOAA, and Copernicus are live in FSQ Spatial H3 Hub! Covering everything from global weather patterns to coastal flood risks, these H3-indexed datasets are ready to use for instant spatial analysis (no GIS expertise needed). https:// 462 views · 2 likes · 1 reposts · 0 replies Open on X →
@Foursquare @databricks @huggingface @Snowflake When can we get a Swarm MCP so loyal users whose data built your company can do something cool with their hundreds of thousands of check-ins? 40 views · 0 likes · 0 reposts · 0 replies Open on X →
See the August release notes for FSQ OS Places here: https://t.co/C4SDWzE9f7 239 views · 2 likes · 0 reposts · 0 replies Open on X →
The August release of our OS Places dataset is here! 📍 Available now on @databricks, @huggingface, @Snowflake, and our Places Portal, this update includes 390K+ new places and a record-setting 13.8M+ places updated 🔽 - Data expansion: As we’ve scaled our new ingestion system, ht 870 views · 5 likes · 1 reposts · 2 replies Open on X →

Im Vergleich zu Konten gleicher Größe

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

Medianaufrufe414dieses Konto924Median für 10K–100K
Reichweite, %1.81%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.69%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag4149240.45×
Reichweite (Aufrufe ÷ Follower)1.81%3.62%0.50×
Interaktionsrate0.69%1.52%0.45×

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

87011 Aug
239
4014 Aug
46219 Aug
41221 Aug
16127 Aug
754
4162 Sep

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

0.92%11 Aug
0.84%
0.00%14 Aug
0.65%19 Aug
0.97%21 Aug
0.00%27 Aug
0.40%
0.72%2 Sep

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

What the audience does

Likes68.0%17 in total
Reposts8.0%2 in total
Replies16.0%4 in total
Bookmarks8.0%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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