Location AI: Targeting Visitors by Understanding "Where They Come From and Where They Go" Across Store/Facility Categories with Foot Traffic Analysis and Advertising
Location AI Inc. announced new features for its cloud-based foot traffic data utilization platform, "Location AI Platform® (LAP)." This update enables the analysis and visualization of visitor behavior before and after visiting specific locations, categorized by facility types, and integrates with advertising delivery. This allows for analysis based on the behavioral context of visitors, moving beyond simply knowing they visited a specific place, and leverages visualized "potential interests" for ad distribution. This means targeting not only existing store visitors but also those with highly relevant behavioral tendencies.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 19:00
- 🔍 Collected: April 28, 2026 at 10:31
- 🤖 AI Analyzed: April 28, 2026 at 15:02 (4h 30m after Collected)
Location AI Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Kazusuke Oi) announced new features for its proprietary cloud-based foot traffic data utilization platform, "Location AI Platform® (LAP)." These new features enable the analysis and visualization of visitor behavior before and after visiting specific locations, categorized by facility types such as dining, food, retail, and drugstores, and integrate with advertising delivery.
This allows for analysis based on the behavioral context of visitors, moving beyond the conventional understanding of simply "visiting a specific place." It now makes it possible to understand "which facility categories are used in conjunction" before and after a visit. Furthermore, by utilizing the visualized "potential interests" for advertising distribution, companies can approach not only their existing store visitors but also segments with highly relevant behavioral tendencies.
**Main Use Cases**
* Understand which surrounding facility categories visitors to your store/facility also use.
* Visualize highly compatible related categories and potential demand, in addition to analyzing competitor business types.
* Deliver advertisements to highly relevant target segments based on actual behavioral data.
* Connect analysis results to advertising distribution and sales promotion measures, supporting decision-making.
**Visualize pre/post-visit behavior by facility category to understand customer behavioral context**
Previously, LAP offered the "Hot Place Ranking Function," which visualizes where else people who visited a store or specific location (home POI) went (co-use rate*1).
With this update, it is now possible to analyze within a 5km radius around the home POI, categorized by facility types such as "dining" or "sports facilities."
This allows businesses to understand which facility categories visitors use in conjunction, visualizing not only competitive analysis and circulation trends but also customer interest areas. The insights gained can be used to design advertising appeals tailored to the target audience and to plan measures with highly compatible cross-industry partners.
*1. Co-use rate is an indicator showing what percentage of people who visited a POI (analysis point) also visited that location. It can be used to understand not only visits over the entire analysis period but also movements before and after visits, and the most frequently visited places on that day, providing a more context-aware understanding of behavior.
**Foot traffic advertising with expanded targeting to visitors of related facility categories**
A key strength of this function is its ability to directly leverage customer behavioral trends revealed through analysis and visualization for highly accurate advertising delivery. By selecting specific facility categories around one's store (e.g., nearby restaurants) as the target audience within the system, it is now easy to target "people who visited places highly relevant to our company."
Moving beyond advertising only to "people who were in a specific place," by expanding the target to "people who visited related facility categories," companies can precisely approach "segments with potential interest" in their products and services. Utilizing "Flow Ad" (foot traffic advertising), which is based on real-world (offline) behavioral data independent of cookies, enables end-to-end realization from expanding awareness among interested parties to promoting actual store visits and verifying effects.
**About Location AI Inc.**
Location AI Inc. develops and provides a proprietary foot traffic data utilization platform that combines location big data and generative AI technology to companies and organizations. Key services include the foot traffic data utilization platform "Location AI Platform®," the web service "Foot Traffic Analytics®," and "Inbound Analytics+" which visualizes the behavior of foreign visitors to Japan. Furthermore, they offer marketing solutions such as "Location Marketing Service" to support business expansion using foot traffic data, and "Inbound Marketing Service" for advertising to foreign visitors. They also provide a next-generation marketing infrastructure driven by data and AI.
Company Name: Location AI Inc.
URL: https://location-ai.com/
Representative: Representative Director Kazusuke Oi
Location: Kobayashi Bldg. 6F, 1-2-9 Ebisu Minami, Shibuya-ku, Tokyo 150-0022
**About the location information analysis data provided by our company**
The data provided by our company is location information data from smartphone applications with user consent. This data is completely anonymized without linking to personal information, and only data for which third-party use has been consented for analytical purposes is utilized. (https://location-ai.com/privacy-policy/)
To ensure the suitability of analysis results, we eliminate "bias in raw data (specific apps from specific carriers)" and use completely anonymized data from multiple apps across all mobile carriers.
This allows for analysis based on the behavioral context of visitors, moving beyond the conventional understanding of simply "visiting a specific place." It now makes it possible to understand "which facility categories are used in conjunction" before and after a visit. Furthermore, by utilizing the visualized "potential interests" for advertising distribution, companies can approach not only their existing store visitors but also segments with highly relevant behavioral tendencies.
**Main Use Cases**
* Understand which surrounding facility categories visitors to your store/facility also use.
* Visualize highly compatible related categories and potential demand, in addition to analyzing competitor business types.
* Deliver advertisements to highly relevant target segments based on actual behavioral data.
* Connect analysis results to advertising distribution and sales promotion measures, supporting decision-making.
**Visualize pre/post-visit behavior by facility category to understand customer behavioral context**
Previously, LAP offered the "Hot Place Ranking Function," which visualizes where else people who visited a store or specific location (home POI) went (co-use rate*1).
With this update, it is now possible to analyze within a 5km radius around the home POI, categorized by facility types such as "dining" or "sports facilities."
This allows businesses to understand which facility categories visitors use in conjunction, visualizing not only competitive analysis and circulation trends but also customer interest areas. The insights gained can be used to design advertising appeals tailored to the target audience and to plan measures with highly compatible cross-industry partners.
*1. Co-use rate is an indicator showing what percentage of people who visited a POI (analysis point) also visited that location. It can be used to understand not only visits over the entire analysis period but also movements before and after visits, and the most frequently visited places on that day, providing a more context-aware understanding of behavior.
**Foot traffic advertising with expanded targeting to visitors of related facility categories**
A key strength of this function is its ability to directly leverage customer behavioral trends revealed through analysis and visualization for highly accurate advertising delivery. By selecting specific facility categories around one's store (e.g., nearby restaurants) as the target audience within the system, it is now easy to target "people who visited places highly relevant to our company."
Moving beyond advertising only to "people who were in a specific place," by expanding the target to "people who visited related facility categories," companies can precisely approach "segments with potential interest" in their products and services. Utilizing "Flow Ad" (foot traffic advertising), which is based on real-world (offline) behavioral data independent of cookies, enables end-to-end realization from expanding awareness among interested parties to promoting actual store visits and verifying effects.
**About Location AI Inc.**
Location AI Inc. develops and provides a proprietary foot traffic data utilization platform that combines location big data and generative AI technology to companies and organizations. Key services include the foot traffic data utilization platform "Location AI Platform®," the web service "Foot Traffic Analytics®," and "Inbound Analytics+" which visualizes the behavior of foreign visitors to Japan. Furthermore, they offer marketing solutions such as "Location Marketing Service" to support business expansion using foot traffic data, and "Inbound Marketing Service" for advertising to foreign visitors. They also provide a next-generation marketing infrastructure driven by data and AI.
Company Name: Location AI Inc.
URL: https://location-ai.com/
Representative: Representative Director Kazusuke Oi
Location: Kobayashi Bldg. 6F, 1-2-9 Ebisu Minami, Shibuya-ku, Tokyo 150-0022
**About the location information analysis data provided by our company**
The data provided by our company is location information data from smartphone applications with user consent. This data is completely anonymized without linking to personal information, and only data for which third-party use has been consented for analytical purposes is utilized. (https://location-ai.com/privacy-policy/)
To ensure the suitability of analysis results, we eliminate "bias in raw data (specific apps from specific carriers)" and use completely anonymized data from multiple apps across all mobile carriers.