Location AI Launches Human Flow Ads Using 4.2 Billion Global Smartphone IDs, Covering Inbound Tourists Before, During, and After Their Trips
Location AI Inc. has significantly enhanced its 'IMS' marketing service, utilizing 4.2 billion location-based IDs to cover every stage of an inbound tourist's journey. By offering high-precision targeting based on real GPS data and distribution via major SNS platforms, the service optimizes inbound marketing strategies.
📋 Article Processing Timeline
- 📰 Published: May 19, 2026 at 19:00
- 🔍 Collected: May 19, 2026 at 10:31
- 🤖 AI Analyzed: May 28, 2026 at 16:49 (222h 17m after Collected)
Location AI Inc. (HQ: Shibuya, Tokyo; CEO: Kazusuke Obi), a developer of human flow data platforms, has significantly enhanced its 'IMS (Inbound Marketing Service)' for inbound travelers, leveraging location data from 4.2 billion IDs across 247 countries and regions.
### Coverage Across 'Before, During, and After' Trips
The strength of this service lies in its ability to identify estimated home locations based on GPS data (latitude, longitude, and timestamps) from 4.2 billion smartphone IDs globally, without relying on online search history. This enables high-precision ad distribution while maintaining anonymity.
1. **Pre-trip (Before Visit):**
Targets users in their home country who are planning a trip to Japan, with the ability to specify local regions (e.g., Taipei only).
2. **During Trip (In Japan):**
Delivers ads when overseas residents are traveling in Japan to drive immediate traffic to shops and tourist spots.
3. **Post-trip (After Return):**
Enables retargeting based on actual stay history in Japan, encouraging repeat visits or cross-border e-commerce use.
### Use Case Examples
- **Seasonal Retargeting:** Promoting a region's summer activities to tourists who visited for skiing in winter.
- **Pre-emptive Appeal:** Reaching overseas residents planning trips to specific destinations or accommodations.
- **Off-peak Tourism:** Assisting DMOs and local governments with off-season promotion strategies.
- **Retail Loyalty:** Driving repeat purchases through cross-border EC for users with past visit history.
### Support for Major Ad Platforms
The service supports major global platforms including Meta (Facebook / Instagram), X (formerly Twitter), TikTok, and DSPs. Advertisers can select the optimal media mix based on campaign goals and target countries.
### Data-Driven Pre-Campaign Reports
Prior to ad distribution, the service utilizes the 'Location AI Platform®' and 'Inbound Analytics+' to visualize visiting nationalities, seasonality, travel routes, and stay patterns. This ensures optimized delivery based on comparative analysis.
### Location-Based Visit Measurement (DSP Only)
The service allows for the measurement of actual visits to designated locations by users who viewed the ads, enabling clear performance tracking.
### Coverage Across 'Before, During, and After' Trips
The strength of this service lies in its ability to identify estimated home locations based on GPS data (latitude, longitude, and timestamps) from 4.2 billion smartphone IDs globally, without relying on online search history. This enables high-precision ad distribution while maintaining anonymity.
1. **Pre-trip (Before Visit):**
Targets users in their home country who are planning a trip to Japan, with the ability to specify local regions (e.g., Taipei only).
2. **During Trip (In Japan):**
Delivers ads when overseas residents are traveling in Japan to drive immediate traffic to shops and tourist spots.
3. **Post-trip (After Return):**
Enables retargeting based on actual stay history in Japan, encouraging repeat visits or cross-border e-commerce use.
### Use Case Examples
- **Seasonal Retargeting:** Promoting a region's summer activities to tourists who visited for skiing in winter.
- **Pre-emptive Appeal:** Reaching overseas residents planning trips to specific destinations or accommodations.
- **Off-peak Tourism:** Assisting DMOs and local governments with off-season promotion strategies.
- **Retail Loyalty:** Driving repeat purchases through cross-border EC for users with past visit history.
### Support for Major Ad Platforms
The service supports major global platforms including Meta (Facebook / Instagram), X (formerly Twitter), TikTok, and DSPs. Advertisers can select the optimal media mix based on campaign goals and target countries.
### Data-Driven Pre-Campaign Reports
Prior to ad distribution, the service utilizes the 'Location AI Platform®' and 'Inbound Analytics+' to visualize visiting nationalities, seasonality, travel routes, and stay patterns. This ensures optimized delivery based on comparative analysis.
### Location-Based Visit Measurement (DSP Only)
The service allows for the measurement of actual visits to designated locations by users who viewed the ads, enabling clear performance tracking.
FAQ
Location AIのサービスが持つ最大の強みは何ですか？
オンラインの検索履歴に依存せず、世界42億IDにおよぶスマートフォンアプリのGPSデータ（緯度経度・タイムスタンプ）に基づき、高精度な推定居住地の特定とターゲティングが可能な点です。
「旅アト配信」はどのようなプロモーションに有効ですか？
帰国後の旅行客に対し、日本での実滞在履歴に基づいたリターゲティングが可能です。次回の再来訪促進や、越境ECへの送客、季節を変えたエリアプロモーションに有効です。
対応している主要な広告媒体はどこですか？
Meta（Facebook/Instagram）、X（旧Twitter）、TikTok、およびDSP（運用型広告配信）に対応しており、ターゲットや目的に応じて最適な媒体を選択できます。
広告配信前にどのようなデータ分析が可能ですか？
自社プラットフォームを活用し、来訪者の国籍構成、季節性、移動経路、滞在傾向などを可視化した「事前の人流分析レポート」を提供し、戦略の最適化を支援します。
自治体やDMOでの活用事例はありますか？
はい。地方自治体やDMOによるオフシーズンの集客対策や、特定の観光地への先回り訴求など、地域課題に合わせたオフピーク集客プロモーションに活用されています。