Experience how easy it is to precisely target with Groundhog AI advertising and get consumer browsing behav
Groundhog Technologies was founded in 2001 as a spin-off from the Massachusetts Institute of Technology. Since then, our Mobility Intelligence Platform has analyzed many of the busiest mobile networks in the world; saving operators millions of dollars, increasing customer satisfaction and generating new revenues.iors insights in the digital marketing fields.
Groundhog Technologies applies a combination of Chaos Theory-based Geolocation models and Human Mobility Deep Learning Algorithms to transform raw network data into monetizable assets. The demand for digital advertising coupled with the demand for reliable data is increasing. Mobile Network Operators(MNO)’s demographics, location and browsing data, with the right technology which turns them into actionable insights and segmentations will create tremendous value to marketers.
Flexible integration with a variety of applications for Customer Care & Experience, Revenue Management, Business Intelligence, Mobile Advertising, and many others.Groundhog Technologies was founded in 2001 as a spin-off from the Massachusetts Institute of Technology. Since then, our Mobility Intelligence Platform has analyzed many of the busiest mobile networks in the world; saving operators millions of dollars, increasing customer satisfaction and generating new revenues.iors insights in the digital marketing fields.
Groundhog Technologies applies a combination of Chaos Theory-based Geolocation models and Human Mobility Deep Learning Algorithms to transform raw network data into monetizable assets. The demand for digital advertising coupled with the demand for reliable data is increasing. Mobile Network Operators(MNO)’s demographics, location and browsing data, with the right technology which turns them into actionable insights and segmentations will create tremendous value to marketers.
Flexible integration with a variety of applications for Customer Care & Experience, Revenue Management, Business Intelligence, Mobile Advertising, and many others.Groundhog Technologies was founded in 2001 as a spin-off from the Massachusetts Institute of Technology. Since then, our Mobility Intelligence Platform has analyzed many of the busiest mobile networks in the world; saving operators millions of dollars, increasing customer satisfaction and generating new revenues.iors insights in the digital marketing fields.
Groundhog Technologies applies a combination of Chaos Theory-based Geolocation models and Human Mobility Deep Learning Algorithms to transform raw network data into monetizable assets. The demand for digital advertising coupled with the demand for reliable data is increasing. Mobile Network Operators(MNO)’s demographics, location and browsing data, with the right technology which turns them into actionable insights and segmentations will create tremendous value to marketers.
Flexible integration with a variety of applications for Customer Care & Experience, Revenue Management, Business Intelligence, Mobile Advertising, and many others.Groundhog Technologies was founded in 2001 as a spin-off from the Massachusetts Institute of Technology. Since then, our Mobility Intelligence Platform has analyzed many of the busiest mobile networks in the world; saving operators millions of dollars, increasing customer satisfaction and generating new revenues.iors insights in the digital marketing fields.
Groundhog Technologies applies a combination of Chaos Theory-based Geolocation models and Human Mobility Deep Learning Algorithms to transform raw network data into monetizable assets. The demand for digital advertising coupled with the demand for reliable data is increasing. Mobile Network Operators(MNO)’s demographics, location and browsing data, with the right technology which turns them into actionable insights and segmentations will create tremendous value to marketers.
Flexible integration with a variety of applications for Customer Care & Experience, Revenue Management, Business Intelligence, Mobile Advertising, and many others.Groundhog Technologies was founded in 2001 as a spin-off from the Massachusetts Institute of Technology. Since then, our Mobility Intelligence Platform has analyzed many of the busiest mobile networks in the world; saving operators millions of dollars, increasing customer satisfaction and generating new revenues.iors insights in the digital marketing fields.
Groundhog Technologies applies a combination of Chaos Theory-based Geolocation models and Human Mobility Deep Learning Algorithms to transform raw network data into monetizable assets. The demand for digital advertising coupled with the demand for reliable data is increasing. Mobile Network Operators(MNO)’s demographics, location and browsing data, with the right technology which turns them into actionable insights and segmentations will create tremendous value to marketers.
Flexible integration with a variety of applications for Customer Care & Experience, Revenue Management, Business Intelligence, Mobile Advertising, and many others.
CPC has been reduced by 25.2% through AI-Powered Dynamic Keyword Targeting
This case study explores the application and benefits of Dynamic Keyword Targeting (DKT) technology, highlighting its ability to optimize Cost-Per-Click (CPC) performance. Unlike conventional Google keyword advertising, our AI-driven DKT technology analyzes and predicts audience interests based on keywords from recently browsed articles. This enables precise audience identification and ensures advertising dollars are spent more… Read More »CPC has been reduced by 25.2% through AI-Powered Dynamic Keyword Targeting
Successful Marketing Case of Accessories Shop in Taiwan: Increasing Brand Exposure and Driving Precise Traffic to the Website
The competition in the affordable accessories market in Taiwan is intense, both online and offline, with numerous stores and diverse channels competing simultaneously. Our DSP provided strategies aimed at achieving low CPC and high CTR, helping B2C advertisements gain maximum brand exposure amidst high traffic. Strategy 1: Align Brand Positioning and Image, Identify the Right… Read More »Successful Marketing Case of Accessories Shop in Taiwan: Increasing Brand Exposure and Driving Precise Traffic to the Website
Successful Case Study of a Japanese Skincare Brand: New Product Trial Redemption Marketing Campaign
An internationally renowned Japanese beauty and skincare brand launched a new anti-wrinkle product line, aiming to increase consumer engagement and brand loyalty through online promotion and the appeal of free product sample redemptions. Solution AI-Powered Smart Advertising Bidding Model Utilizes machine learning to identify high-engagement placements, winning premium ad spaces at the expected bid while… Read More »Successful Case Study of a Japanese Skincare Brand: New Product Trial Redemption Marketing Campaign
Japanese Automotive Giant and MI-DSP™ Collaborate for High-Efficiency Test Drive Marketing Campaign
In the fiercely competitive automotive market, capturing consumer attention and promoting test drive experiences have become crucial steps for car brands. Since 2023, a prominent Japanese automotive brand has teamed up with MI-DSP™, an AI-powered real-time bidding platform from Groundhog, to create a highly effective marketing campaign for car test drives. This campaign utilized personalized… Read More »Japanese Automotive Giant and MI-DSP™ Collaborate for High-Efficiency Test Drive Marketing Campaign
Elevating Visibility for an Intimacy Product Brand in Indonesia
Within the vibrant fabric of Indonesia, where the interplay of traditional values and modernity is evident, there has been a remarkable surge in the demand for intimacy products. Understanding the pivotal role of brand awareness in this evolving sector, businesses are increasingly realizing the necessity of establishing a robust online presence. Campaign Objective: The primary… Read More »Elevating Visibility for an Intimacy Product Brand in Indonesia
Breaking the Walled Garden: Empowering Marketers with MI-DSP™ and Open Web Strategies
The Term “The Walled Garden” Has Been Present In Marketing Fields For Quite Some Time, But Do You Know What The Concept Means? Some of the biggest advertising walled gardens include Google, Meta, and Amazon, they control over 80% of all digital ad spend in the world. You might be curious about how they built… Read More »Breaking the Walled Garden: Empowering Marketers with MI-DSP™ and Open Web Strategies
Dominating the Digital Advertising Ecosystem: Unveiling the Pre-Landing Reign
Programmatic Advertising Transaction Process In our previous publication, we provided an overview of the supply chain within the digital advertising ecosystem. In continuation, this article aims to deepen your understanding by presenting additional background knowledge and relevant terminology. Before delving into the specifics, we will first explore the evolution of media buying, tracing its path… Read More »Dominating the Digital Advertising Ecosystem: Unveiling the Pre-Landing Reign
Decoding the AI-driven digital advertising landscape: Unraveling the roles of DSPs, DMPs, and SSPs
What is DSP? What is DMP? And what is SSP? All these terms ending with “P” are so quite confusing! Do you want to know what are these platforms used for? If you’re new to the digital advertising industry, you might be unfamiliar with these terms. Let Groundhog Technologies be your tutor this time! The… Read More »Decoding the AI-driven digital advertising landscape: Unraveling the roles of DSPs, DMPs, and SSPs
Born to raise brand awareness: MI-DSP™ supports Family Mart in driving traffic during Double 11.
AI Advertising programmatic According to the global real-time bidding (RTB) market size report, the market is projected to grow from $10.85 billion in 2022 to $14.07 billion in 2023, at a compound annual growth rate (CAGR) of 29.7%. As a service for the brand, MI-DSP™ reaches out to the precise audience, significantly increasing consumer awareness… Read More »Born to raise brand awareness: MI-DSP™ supports Family Mart in driving traffic during Double 11.
