Core Viewpoint - The marketing industry is facing collective challenges such as high content costs, fragmented MarTech systems, and a disconnect between marketing and sales, prompting the need for effective AI solutions to drive growth [2][4]. Group 1: Industry Challenges - Content costs are high and the frequency of updates is rapid, yet it remains difficult to engage consumers effectively [2]. - Various MarTech systems are disjointed, leading to redundant investments and low usage rates [2]. - There is a persistent gap between marketing and sales, making it hard to measure the impact of marketing expenditures on growth [2][4]. Group 2: AI's Role in Marketing - Despite the proliferation of AI technologies in marketing, such as generative AI and marketing automation platforms, few have successfully addressed the industry's core challenges and gained client recognition [2][4]. - The complexity and precision required in marketing have increased, necessitating AI to enhance insights and execution capabilities [4]. Group 3: Evaluation and Participation - The "Big Whale List" aims to identify companies that effectively use AI to solve marketing problems and drive business growth [2][4]. - Companies eligible for participation must provide AI-driven marketing technology services across at least one of six key areas and have two or more verifiable paid client cases [5]. - The evaluation will consider technical capabilities, implementation success, and commercial value [6]. Group 4: Recognition and Opportunities - The top 10 "AI + Marketing Strongest Companies" will be announced by the end of September 2025, providing exposure and networking opportunities for the selected firms [7][8]. - Participants will benefit from promotional activities, speaking opportunities, and inclusion in a case library [8].

Core Insights - There is a significant gap between the substantial investments in marketing technology and the inconsistent results achieved, raising questions about the factors causing this disparity and how companies can systematically manage marketing technology activities [1][3] Investment Trends - Companies plan to allocate 24% of their budgets to marketing technology this year, with nearly one-third (31%) of respondents indicating a projected 55% increase in spending over the next five years [3] - The average impact score given by marketers for their current marketing technology tools is 4.7 out of 7, with 49% of respondents stating that actual results do not meet expectations, and 44% reporting that purchased tools remain unused [3] Organizational Best Practices - A "Marketing Technology Organizational Assessment" has been proposed to identify and rectify specific barriers to integrating marketing technology within companies [4] - Best practices include: 1. Refocusing on effective utilization rather than just budget allocation [4] 2. Setting clear strategic goals aligned with company objectives, which can enhance usage rates by 20% [4] 3. Expanding the application of marketing technology across the organization to improve overall effectiveness, with performance scores increasing from 4.2 to 5.4 when used company-wide [5] 4. Prioritizing the recruitment and retention of talent for managing marketing technology strategies, as current focus is insufficient [5][6] Integration of Advanced Technologies - Companies report using generative AI in an average of 15% of their marketing activities, with higher users seeing a 10-20% increase in marketing technology impact scores [8] - Organizations led by marketing departments show a 25% higher effectiveness in marketing technology initiatives compared to those led by IT departments [8] Measurement and Evaluation - Companies often focus on short-term metrics, with over 60% using indicators like lead generation and conversion, while only half use long-term metrics such as customer satisfaction and loyalty [9] - Regular audits of marketing technology systems are crucial, as only 30.9% of companies evaluate their tools every six months or less, leading to a significant decline in effectiveness if evaluations are infrequent [10][11]