Feel like it’s harder to know who’s ready to buy? We just launched 4,000+ new off-the-shelf audiences built to reflect today's consumer and help keep your targeting sharp this summer 👇
📍 3,500+ location audiences based on recent visitation behaviors like:
→ Seasonal shoppers
→ Recent visitors (past 30 days)
→ Loyalists & high-frequency visitors
💳 500+ purchase-based audiences to reach verified buyers like:
→ Active high spenders
→ Recent repeat buyers
→ High-frequency buyers
⚽ Need a mid-flight World Cup campaign boost? We also added 40+ pre-built audiences and real-time geofences to reach fans across stadiums, fan zones, and key event locations. See examples in our playbook: https://t.co/3CBcJQvHlD
How to instantly activate: just search for “Foursquare” on @TheTradeDesk, @LiveRamp, or @Google. Want to deploy elsewhere or something custom? Reach out to us!
See what our community of explorers and mapmakers has been up to! 💫
Our Swarm and Superlocal apps have been getting a ton of love lately: we've rolled out a wave of updates to make tracking your travels and exploring the world even more fun. Plus, shoutout to our Placemaker community for hitting an incredible milestone!
Here is what’s new:
🐝 Swarm
→ New Explore tab: Four ways to see your world (Discover, Events, Swarming Now, and You) that make it easier to view your past check-ins, discover new places, and find what’s happening nearby.
→ Other updates: Get to your lists right from the map, filter by country/state/city, see bubble tips for top places, and yes… the Android app update is coming soon!
🗺️ Superlocal
→ New Map App feature: one map that brings you 30+ cool maps! Explore maps like Earthquakes, Aurora, Heatmap, Historical Photos, Whale Tracker, Under an Hour, and more.
→ Other updates: Replay your day of check-ins in “fly-by mode” and see a “why this place” reason for recommended places.
📍 FSQ Placemakers
→ You’ve been busy! From Dec to May, our active users grew by nearly 150% and monthly contributions skyrocketed by 1,100% 🌟 Thank you for all you do to make places data better for everyone!
See these updates in action below and let us know, which one are you most excited about? 👇
Where is consumer spending heading this summer? Out of office ✈️
Even as consumers pull back elsewhere, travel experiences are still a must for many. The warmer months naturally drive a surge in real-world activity, creating more moments for advertisers to connect with high-intent audiences.
To match your media with where they’re headed, take a look at the “Summer Travel” section in our latest targeting guide. It’s packed with privacy-forward segment ideas to reach explorers as they plan and embark on moments like:
☀️ Summer travel and weekend getaways
🇺🇸 July 4th celebrations and holiday gatherings
💍 Summer weddings and celebrations
🎶 Music festivals and live entertainment
💪 Fitness and wellness routines
Whether you're looking to reach vacationers or niche seasonal audiences, the guide lays out precise targeting strategies for Q3 - get your copy below 👇
The June release of our OS Places dataset is here! 📍 Available now on @databricks, @huggingface, @Snowflake, and our Places Portal, this update continues our focus on increasing coverage, featuring the addition of over 450K new places.
Other updates include ⬇️
- Placemaker Tools: We’ve added an Autocomplete feature to the Add Place workflow. This helps you fill in more complete venue information for newly created places.
- Placemaker Tools: Our community’s been busy! Placemaker activity has doubled in the past 90 days, bringing in more human-suggested edits, human votes, and first-party created places.
- Data expansion: This month, we’ve productionized an agent-based verification system that measures the validity, realness, and open status of ingested data before adding the venues to our dataset.
- Over 9M total updated POIs since our last release!
Read the full release notes at the link in the thread, and get started with OS Places here → https://t.co/bJ8IMoDNMf
Do you watch TV the way your parents do? Probably not 📺👀
You might jump between streaming apps, while they stick to traditional channels. Viewership looks entirely different depending on the generation you want to reach:
🔸 Gen Z → 62% use AVOD, driving the shift to ad-supported streaming
🔸 Millennials → 92% use streaming, preferring on-demand content over linear TV
🔸 Boomers → 73% watch 2+ hours of TV daily, favoring traditional or linear channels
This fragmentation matters: to reach your ideal audience, your campaigns have to span linear, streaming, and CTV.
But understanding what’s truly working requires a flexible, holistic measurement framework:
You need the ability to find the overlap across TV buys *and* dig into deduplicated impact, so you know you’re reaching your ideal customers on the right screens.
Our latest measurement guide helps you find the overlap, fix the blind spots, and connect exposure to real-world outcomes (link in the thread) 👇
New in FSQ Spatial: ⏳ temporal datasets in H3 Hub and 🎞️ time series animation in Spatial Desktop!
Standard weather rasters make for pretty animations, but they’re a nightmare for data pipelines. Here’s our fix:
We took massive, continuous global data feeds and indexed them directly to the H3 grid to make every “pixel” over time a discrete, queryable row. Now, we can execute multi-domain, temporal joins in seconds!
Here’s what this looks like in practice ⬇️
In the analysis below of the 2026 Georgia flash drought, see how you can instantly go from smooth rasters to discrete, filterable, and joinable data points.
→ First we mapped out daily max temperatures and precipitation across Georgia to create what looks like your typical climate dashboard (smooth, raster-like gradients of record heat and zero rain sweeping across the state).
→ We then overlaid the weekly US Drought Monitor on top of the USDA Cropland Data Layer to highlight critical cotton and peanut fields. Right at the peak of the drought, we freeze time and zoom in. (Tip: use temporal filters to see how datasets change over time.)
→ See how the map shatters into hexagons? Every hexagon isn’t a pixel, it’s a discrete data point at H3 resolution 8. And since the disparate datasets share the exact same spatial grid, now we can just run a standard join to calculate ground-truth agricultural risk.
Try it out! Explore temporal datasets and run your own analyses in FSQ Spatial Desktop - link below to get the latest version 👇
2 weeks till all eyes are on the ball ⚽️ Will they be on your brand too?
With over 6 billion fans getting fired up for the World Cup, the battle for brand attention will be fierce. How to stand out? Ground your targeting in real-world behaviors ⚡️
Whether you want to reach watch-party preppers or live crowds at stadiums and bars, location-based targeting ensures your message reaches high-intent fans when they’re most engaged and likely to take action.
Get an immediate gameday edge with our ready-to-use targeting segments, including:
📍 Location audiences: Soccer Enthusiasts, Sports Bar Regulars, World Cup Watchers
🛍️ Purchase audiences: Costco Shoppers, Airbnb Customers, Sporting Goods & Activewear Shoppers
🎯 Proximity real-time targeting segments: US World Cup Attendees, Fan Festivals, Soccer Fields & Stadiums
Activate these segments off-the-shelf today in major DSPs (including The Trade Desk, LiveRamp, Vistar, and more). Custom segments are also available and can be quickly deployed to your ad platform of choice.
See more segments in our World Cup playbook linked below 👇
Get our Q3 Targeting Guide here for creative segments built around Back-to-School shopping, Labor Day weekend, summer travel, and more 👇
https://t.co/f6esFTwGN1
Planning or activating Q3 campaigns? Pay attention to these two major shifts coming to a head:
1️⃣ Consumers are being far more selective & intentional with their spending
2️⃣ Digital signals are rapidly weakening as AI-powered research becomes the norm
Your trusty compass for finding strong intent in this perfect storm? 🧭 Real-world behavior.
That’s why brands are pivoting towards privacy-forward, location-based targeting, which allows you to connect with highly motivated consumers showing intent through their real-world actions.
Our new Q3 Targeting Guide will help you chart out next quarter’s strategy, with creative audience segments and real-time targeting ideas for Q3’s biggest moments:
🎒 Back-to-School shopping
🇺🇸 Labor Day weekend
✈️ Summer travel
🏈 NFL Kickoff
➕ more!
Get your copy below to keep your Q3 strategy anchored in real-world consumer behavior, boost targeting precision, and drive measurable results 👇
Register here for Retail Day at the ANA to tune in to "From Insights to Checkout: Navigating 2026 Retail Trends with Foot Traffic & Multi-Touch Measurement" 👇
https://t.co/niB60kH9YG
ANA members, it’s almost here 🔔 Join us tomorrow for Retail Day at the ANA!
Retail marketers face a pressing paradox: we have more data than ever, yet increasingly fragmented shopper paths make it harder to understand true campaign performance.
Tomorrow at 11:40 AM ET, our Director of Customer Analytics, Xander Nafman, is taking the virtual stage to show you how to solve this exact challenge.
In the session “From Insights to Checkout: Navigating 2026 Retail Trends with Foot Traffic & Multi-Touch Measurement,” Xander will unpack why a real-world "source of truth" that connects media exposure to physical outcomes (like in-store visits and sales) is the definitive solution 📍
He'll share fresh data and real examples to cover:
→ What physical visitation patterns reveal about shifting shopper intent
→ Actionable strategies for when foot traffic is up or down across the retail landscape
→ How to integrate foot traffic & sales-based metrics for agile, in-flight adjustments
Register for the @ANAmarketers Retail Day with the link in the thread 👇
🍏 and 🍊…you know what they say 👀 Still trying to compare channels like that?
73% of marketers say cross-channel measurement is their hardest problem. And when a single conversion now touches 5+ channels, figuring out the overlap is a massive headache 😵💫
From CTV to social, each digital channel pulls a different lever. If you’re measuring them in silos, you get hit with double-counted conversions, inflated credit, and misallocated spend.
True comparison requires a consistent, deduplicated measurement framework tied to the real-world outcomes you actually care about (lift, store visits, sales).
Our new Digital Overlap Guide breaks down exactly how to do it:
→ How the 2026 digital channel landscape is evolving
→ Why fragmented measurement limits side-by-side comparison
→ How a deduplicated & unified view lets you truly compare channels
Get the guide below to understand the value of seeing how your channels actually stack up 👇
The May release of our OS Places dataset is here, and for the first time ever, available on @databricks! This update continues our focus on increasing coverage, featuring the addition of over 200k new places and a record 9m+ updated POI. Other updates include:
- New Transaction Matching API: We have released a new API endpoint to Enterprise Customers for Transaction Matching to provide developers with a reliable method for extracting real world place information out of transaction strings.
- New Ask API Availability: We released our new Ask API to Pay-As-You-Go tier customers, offering developers the ability to use natural language search parameters enabling rich user experiences.
- Lat/Lon Accuracy: We deployed updates to our geosummarizer model that improved the geocoordinate accuracy of 256,899 venues in the United States, Germany, Australia, France, Canada, and Italy.
- Place Name Standardization: We improved the accuracy and standardization of locality and region using a process comparing nearby POI and ranking similarity score of existing values. We standardized the values of these attributes for 477,217 venues in the US and 893,022 venues globally.
- Placemaker Tools Updates: Users can now invite friends via email.
- Placemaker Tools Updates: We have launched our first third-party app built on our PM Tools platform with our partner @MapRGo.
Read the full release notes in the link in the comments, and get started with OS Places on Databricks, @HuggingFace, @Snowflake, and the Places Portal: https://t.co/YYXuS2x0S8