Core Insights - The advertising industry faces a persistent challenge of subjective judgment in creative evaluation, which is exacerbated by the rise of AI video generation tools that increase production efficiency dramatically [1][2][3] Group 1: The Subjective Judgment Dilemma - In the traditional advertising era, creative evaluation relied heavily on subjective opinions from various stakeholders, leading to inefficiencies and potential misjudgments [2][11] - The introduction of AI tools like Seedance2.0 and Sora2 has significantly increased creative output, making it difficult for teams to reach consensus on which versions to pursue [2][11] - A case study highlighted a brand's failure to connect with consumers despite a substantial budget, illustrating the pitfalls of subjective creative decisions [2][11] Group 2: New Challenges in the AI Era - AI video generation has shifted the creative landscape from scarcity to abundance, resulting in exponentially increased decision-making complexity [3][12] - Traditional focus group testing methods are inadequate in the AI-driven environment due to time, cost, and accuracy limitations [4][12] Group 3: AdEff's Solution - AdEff, developed by Minglue Technology, aims to transition from subjective judgment to scientific prediction by leveraging neuroscience data [5][13] - The technology utilizes a proprietary multimodal language model that integrates EEG and eye-tracking data to simulate consumer responses [5][13] - AdEff's AI predictions show a high correlation of 0.89 with real human sample tests, indicating reliability in replacing traditional testing methods [6][13] Group 4: Granular Insights and Optimization - AdEff provides detailed, actionable insights rather than vague assessments, allowing brands to identify specific strengths and weaknesses in their ads [6][14] - The platform offers precise recommendations for creative adjustments based on real-time data, enhancing the optimization process [7][15] Group 5: Paradigm Shift in Creative Evaluation - AdEff is driving a shift in the advertising industry from viewing creativity as an art form to treating it as a science, grounded in data and measurable outcomes [8][16] - This transition allows brands to rely on objective metrics such as attention and emotional indices, moving away from subjective interpretations of "good creativity" [8][16] - The ability to quantify creative effectiveness is becoming a crucial competitive advantage in an era where creative production is no longer scarce [9][17] Group 6: The Future of Advertising - The integration of AI in advertising production and evaluation represents a revolutionary change, with AdEff positioned as a key player in identifying effective content [10][17] - As the industry evolves, the capacity to discern high-quality content through data-driven insights will be essential for brands to maintain a competitive edge [9][17]

Core Insights - The rise of AI-generated content (AIGC) has led to a significant increase in creative output, but it has also created challenges in content quality assessment, necessitating tools like AdEff for effective evaluation and optimization [1][8][9] Group 1: AdEff's Capabilities - AdEff supports batch screening of AIGC content, allowing the upload of 50 videos at once and providing an "advertising effectiveness index" ranking [2][7] - The platform establishes an objective AIGC content quality scoring system based on over 100,000 neuroscience data points, minimizing subjective bias [2][10] - AdEff can validate content in just 15 minutes, significantly faster than traditional methods, enabling real-time testing and optimization [2][9] - The system automatically identifies high-performing AIGC content characteristics, creating a standard operating procedure (SOP) for brand creativity [2][7] - AdEff offers a cost-effective solution at $599 per AIGC content test, reducing costs by 95% compared to traditional methods [2][9] Group 2: Industry Insights - The transition from "creative scarcity" to "creative abundance" highlights the need for specialized content screening capabilities in the AIGC era [3][8] - AIGC is expected to account for over 60% of content by 2026, which poses challenges for traditional testing methods that cannot keep up with the volume of generated content [1][9] - AdEff aims to facilitate "full testing" of AIGC content, making it a foundational infrastructure for marketing in the AIGC era [9][14] Group 3: Technical Architecture - AdEff's architecture includes a neuroscience database that utilizes EEG and eye-tracking data to assess content effectiveness, distinguishing it from generic AI evaluation tools [4][6] - The proprietary HMLLM model analyzes the complex relationships between video elements and audience responses, enhancing content measurement capabilities [5][6] - AdEff's batch prediction engine processes multiple AIGC videos simultaneously, providing comprehensive performance insights and optimization suggestions [7][8] Group 4: AIGC Content Evaluation Standards - AdEff has developed a standardized evaluation framework for AIGC content, measuring attention, emotion, cognition, and overall advertising effectiveness [10][11] - This framework allows for quantifiable, comparable, and optimizable assessments, leading to improved campaign performance metrics [10][11]

Core Viewpoint - Minglue Technology's stock surged over 13% following the announcement of its AI-driven creative testing product, AdEff, entering the Indonesian market, indicating strong investor confidence in the company's growth potential in the AI sector [1] Company Summary - Minglue Technology's AdEff product will provide AI-driven creative testing and screening services to local brand advertisers and creative agencies in Indonesia [1] - The product is developed based on Minglue's proprietary Hypergraph Multimodal Large Language Model (HMLLM), utilizing a collaborative architecture of large models and mixed expert models to predict consumer responses to advertisements accurately and provide optimization suggestions [1] Industry Summary - According to Guosen Securities, over 80% of consumers in China are using AI to obtain consumption information, with nearly 35% engaging in high-frequency interactions with AI daily, indicating a shift towards AI as a mainstream tool for consumer inquiries [1] - The global GEO market is experiencing rapid growth, with projections estimating it will reach $24 billion by 2026 and potentially $100 billion by 2030 [1]

Core Viewpoint - Minglue Technology-W (02718) has seen a significant stock increase of over 13%, currently trading at 258.2 HKD, driven by the launch of its AI-driven creative testing product AdEff in the Indonesian market [1] Company Developments - Minglue Technology's AdEff product will provide AI-driven creative testing and screening services to local brand advertisers and creative agencies in Indonesia [1] - The product is developed based on Minglue Technology's proprietary Hypergraph Multimodal Large Language Model (HMLLM), utilizing a collaborative architecture of large models and mixed expert models to predict consumer responses to advertisements accurately and provide optimization suggestions [1] Industry Insights - According to Guosen Securities, over 80% of users in China are obtaining consumer information through AI, with nearly 35% of consumers interacting with AI on a daily basis, indicating a shift towards AI as a mainstream tool for consumer inquiries [1] - The global GEO market is experiencing rapid growth, with projections estimating it will reach 24 billion USD by 2026 and potentially 100 billion USD by 2030 [1]

Core Viewpoint - Minglue Technology has submitted a new application for listing on the Hong Kong Stock Exchange, aiming to issue up to 8,301,800 shares, with the backing of major investors like Tencent and Kuaishou [1][3][11] Company Overview - Established in 2006, Minglue Technology has nearly 20 years of experience in the digital marketing sector and has served 135 Fortune Global 500 clients [4][6] - The company is recognized as China's largest data intelligence application software supplier based on 2023 revenue [3][6] Business Performance - From 2021 to 2023, the Chinese data intelligence application software market grew at a CAGR of 20.4%, with Minglue's revenue expanding to 1.462 billion yuan in 2023, marking a growth of 15.2% [6][7] - Despite the growth, the company faces challenges with declining revenues in its marketing intelligence segment, which fell from 750 million yuan in 2023 to 730 million yuan in 2024 [8][9] Technology and Innovation - Minglue holds 2,177 patents and has received over 450 domestic and international awards, focusing on multi-modal data intelligence, enterprise knowledge graphs, and data privacy technologies [5][6] - The company has launched AI-driven products like AdEff, which utilizes its proprietary multi-modal large language model to optimize advertising effectiveness [12] Market Position and Challenges - The company has experienced a significant valuation drop from over $30 billion in 2020 to approximately $15 billion in early 2024, reflecting pressures from market competition and changing customer demands [11] - The operational efficiency of its industry AI solutions remains low, with revenue contribution consistently below 10% and negative gross margins [9][10] Investment Appeal - Minglue's strong investor backing, including major players in the AI sector, enhances its attractiveness in the market, despite current operational challenges [11][13] - The anticipated growth of the AI Agent market, projected to reach $50.31 billion by 2030, presents potential opportunities for Minglue to capitalize on [11]

Core Insights - Minglue Technology officially launched AdEff, an AI-driven global advertising testing and optimization product, on June 19 [1] - AdEff is developed based on Minglue's proprietary Hypergraph Multimodal Large Language Model (HMLLM) and employs a collaborative architecture of large models and mixed expert models [1] - The product aims to address long-standing challenges in advertising testing and optimization regarding time and cost, providing a new efficiency tool for the creative industry [1] Group 1 - AdEff can simulate consumer feedback on advertising creativity in just a few minutes and provide targeted optimization suggestions [1] - The product enables marketing and creative professionals to make more agile and informed decisions based on data, enhancing the success rate of advertising campaigns [1] - AdEff significantly reduces the cost of advertising testing, allowing companies to test every advertisement and find a balance between "creative sensibility" and "commercial rationality" [1] Group 2 - AdEff represents the latest application of generative AI technology and intelligent agents in the marketing services sector, indicating the future direction of marketing tool development [2] - The company plans to continue enhancing AdEff in areas such as brand content measurement types, technical optimization, personalized adaptation, and global ecosystem expansion [2]