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AI Advertising (MI-DSP™)

  • AI Programmatic Advertising Platform |
    Real-Time Bidding Ad Inventory
  • CPC Price Advantage |
    Make Your Advertising Have Double Performance
  • Big Data Expertise |
    Target Audiences from Billions of Data Points
  • Rapid Response to Market Changes |
    Real-Time Audience Interest Updates
  • Dynamic Keyword Targeting |
    New Techniques for Finding Your Audience
AI行動智慧即時競價平台(MI-DSP™)

Optimize Ad Performance with MI-DSP™

Using a proprietary AI computational model, MI-DSP™ learns and optimizes advertising performance automatically.

MI-DSP™ is a programmatic advertising platform that leverages diverse AI models to achieve campaign goals.

Adhering to the IAB’s OpenRTB standards, we conduct real-time bidding through a unified communication protocol.

By employing AI algorithms to identify effective audience clicks and traffic, we offer CPC prices that are 25–46% lower than the market average.

By integrating first-party and third-party data, we analyze over a billion user browsing records daily to gain insights into audience behavior.

Our advanced ID Mapping mechanism matches user IDs even without IDFA/AAID and complies with GDPR data encryption and anonymization protocols.

By integrating Google and other renowned Ad Exchanges, our diverse traffic sources enable broader audience reach.

Through collaboration with 500+ MNOs (Mobile Network Operators) and IAB tags, we enable precise audience packaging for seamless use in real-time bidding platforms, ensuring ads reach the right audience.

Our AI analysis swiftly detects changes in audience interests and updates targeting parameters in real time for optimal ad delivery.

Dynamic Keyword Targeting (DKT)

  • Focus on product-specific keywords to identify audiences interested in related topics.
  • Replace manual audience selection with AI analysis to broaden targeting perspectives.
  • Update audience lists dynamically to keep data fresh and relevant.
  • Use DKT to analyze keyword relevance, and effectively segment audience dimensions.
  • Maintain accuracy with AI models predicting high click-through rates (CTR).
Dynamic Keyword Targeting
Dynamic-Keyword-Targeting-動態關鍵字定向
Combine product-specific keywords to understand your customers better and make smarter business decisions
Replace manual audience selection with AI insights.
Dynamically update and track audience interest changes.
Analyze keyword relevance for refined audience segmentation.
Use AI models to predict high CTR for maximum results.

Successful Case Studies

AI動態關鍵字技術降低CPC成效_CPC has been reduced by 25.2% through AI-Powered Dynamic Keyword Targeting
Tech Sharing | DSP Case Studies

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
DSP Case Studies

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

日系保養品排試用包兌換活動Successful Case Study of a Japanese Skincare Brand: New Product Trial Redemption Marketing Campaign
DSP Case Studies

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

AI Advertising (MI-DSP™) Helps You Expand Your Business

Expose your ads through over 100,000 publishers.

Our AI models, crafted by Groundhog tech team, deliver high exposure and high clicks for your ads.

Achieve better results with lower costs under the same budget.

Our platform supports Native Ads, Video, Banner Ads, and H5 formats to meet diverse advertising needs.

With our tracking code functionality, advertisers can monitor website conversion events and target users interacting with specific events for precise ad placement.

Manage accounts with role-based access control, allowing seamless operation oversight, performance review, and profit-sharing visibility.

Support for Multiple Creative Formats

Include Mobile, Desktop, and Tablet

banner creative 320x480

320 x 480

Full-screen ad commonly used in apps and games

banner 300x250

300 x 250

Rectangle Banner

Top performer and tend to have more inventory

728 90 1

728 x 90

Usually displayed at the very top or bottom

Other sizes

  • Banner-468 × 60
  • Top banner-930 × 180
  • Large leaderboard-970 × 90
  • Billboard-970 × 250
  • Panorama-980 × 120
320 50

320 x 50

Usually displayed at the very bottom

Usually used in App or mobile web

banner 160*600

160 x 600

Standing Banner

Placed along the sidebar of a site

Square and rectangle

  • Small square-200 × 200
  • Vertical rectangle-240 × 400
  • Square-250 × 250
  • Triple widescreen-250 × 360
  • Large rectangle-336 × 280
  • Netboard-580 × 400

Skyscraper

  • Skyscraper-120 × 600
  • Half-page-300 × 600
  • Portrait-300 × 1050

Mobile

  • Mobile banner-300 × 50
  • Large mobile banner-320 × 100

Other (Support mobile, Desktop, and tablet)

    • 88 × 31
    • 220 × 90
    • 300 × 57
    • 375 × 50
    • 480 × 320
    • 750 × 100
    • 960 × 90
    • 1024 × 768
    • 168 × 28
    • 240 × 133
    • 300 × 100
    • 414 × 736
    • 640 × 100
    • 750 × 200
    • 970 × 66
    • 1200 × 627
    • 200 × 446
    • 292 × 30
    • 425 × 600
    • 728 × 1024
    • 750 × 300
    • 980 × 90
    • 216 × 36
    • 300 × 31
    • 480 × 32
    • 736 × 414
    • 950 × 90
    • 1024 × 90
    native in feed

    Rendered in content, social, or product feeds.

    native in content

    Rendered in content, social, or product feeds.

    native promoted list

    Rendered in content, social, or product feeds.

    native content recommendation

    Also known as Discovery Ads. Typically found below or alongside publisher content

    native sponsor

    Also called Paid Branded, Sponsored, or Custom Content

    Out stream1 1

    Full screen ads commonly used in apps and games

    native outstream

    Auto plays whenever a user navigates to it within text content (e.g. articles)

    In stream

    平台:手機版網頁&手機App

    又稱為貼片影音廣告,在正片播放前、中、後出現

    Out stream1

    Platform: mApp

    Full-screen video ads. Available in portrait or landscape

    Reward

    Platform: mApp

    At a critical point of engagement, the user chooses to watch an ad; receives a reward upon completion

    outstream in feed

    Platform: Mostly mApp

    Rendered in content, social, or product feeds

    rich media

    We also support rich media banners. Don’t be hesitated to contact us if you have special formats. Let’s see what can we do for you.



    Groundhog Technologies