Materialdriven Facebook Ads Gain Traction in ASC Era

Materialdriven Facebook Ads Gain Traction in ASC Era

In the age of Facebook's Advantage+ Campaign (ASC), creative assets are the key driver. This paper proposes a dual-series testing method for efficiently identifying high-quality creatives, maximizing ROI through bid optimization and audience discovery. We provide customized strategy adjustments for different scenarios, including general product bestsellers and brand websites, helping to improve product testing efficiency. The focus is on leveraging creative optimization within the ASC framework to achieve better campaign performance.

Korn Ferry Examines Talent Risks in Xshoring Era

Korn Ferry Examines Talent Risks in Xshoring Era

A recent report by Career International reveals key transformations in supply chain functions, focusing on risk management, talent acquisition, and the concept of “X-shoring.” The report emphasizes the need for companies to possess robust data analytics capabilities and flexible supply chain networks. It also highlights the importance of talent development and risk management to address challenges arising from geopolitical shifts, trade policy changes, and demand fluctuations. By prioritizing these areas, businesses can maintain competitiveness in the age of “X-shoring.”

Amazon Unveils Aidriven Global Selling Strategy

Amazon Unveils Aidriven Global Selling Strategy

Amazon Global Selling launched its "Next-Generation Cross-Border Chain" strategy, aiming to empower sellers and simplify cross-border sales through AI technology and intelligent supply chains. The strategy encompasses three phases: Global Launch, Global Optimization, and Global Expansion, emphasizing the role of AI in supply chain, logistics management, and seller operations. AI helps sellers improve efficiency, reduce costs, and discover new growth opportunities. The strategy also highlights the increasing importance of brand value in the AI era.

Brands Adapt Strategies to Build Trust in Aidriven Search

Brands Adapt Strategies to Build Trust in Aidriven Search

This article delves into the challenges and opportunities for SEO in the AI search era of 2026. It highlights the obsolescence of traditional SEO strategies and emphasizes the importance of "Generative Engine Optimization (GEO)." The article proposes three key strategies for success: establishing AI-trusted information sources, building an "AI+Human" content model, and developing a new traffic tracking system. These strategies aim to help brands secure genuine traffic and commercial returns within the AI-driven search ecosystem.

GEO Strategies Boost Brand Trust in Aidriven Marketing

GEO Strategies Boost Brand Trust in Aidriven Marketing

AI is reshaping information dissemination, making earned media crucial. Businesses need to employ GEO strategies to optimize brand presence within generative AI engines, enhancing visibility and influence. Public Relations plays a significant role in building trust and conveying value, helping brands win in the AI era. By strategically leveraging location-based data and focusing on authentic communication, companies can navigate the evolving media landscape and establish strong brand trust, ultimately leading to market success in an AI-driven world.

AI Branding Strategies Boost Visibility for Businesses

AI Branding Strategies Boost Visibility for Businesses

Is AI search failing to surface your brand? This article unveils the data indexing logic of large AI models, analyzing why brand information might be 'invisible,' 'dormant,' or have limited visibility. It proposes four key strategies: establishing a standardized SEO system, building a structured brand information database, participating in authoritative industry events, and deepening social media reputation building. These strategies aim to help businesses increase AI brand impressions and achieve brand breakthrough in the AI era.

AI Startup 11xai Hits 10M ARR with Automated Sales Tech

AI Startup 11xai Hits 10M ARR with Automated Sales Tech

AI-powered 11X has secured significant funding and achieved over $10 million in ARR in a short period with its AI SDR service. Its core competitiveness lies in its star digital employees, Alice and Jordan, and its relentless pursuit of product, value proposition, and technological advantages. 11X's success provides valuable experience for other companies developing in the AI era. The company leverages AI to streamline sales processes and improve efficiency, resulting in rapid growth and investor confidence.

Amazon Sellers Adapt Strategies to Aidriven Marketplace

Amazon Sellers Adapt Strategies to Aidriven Marketplace

Amazon's launch of Prompt Ads signals a shift towards AI semantic understanding in its traffic allocation mechanism. Sellers need to restructure product information around user needs, proactively engage with Rufus, optimize QA content, and create differentiated advantages to stand out in the AI algorithm era and improve advertising effectiveness. This involves understanding how AI interprets search queries and tailoring product listings and advertising copy to match. Success hinges on leveraging AI to connect with customers more effectively.

Openai Launches GPT4 Turbo Custom Gpts and Store

Openai Launches GPT4 Turbo Custom Gpts and Store

OpenAI's Developer Day unveiled custom GPTs, the GPT Store, and GPT-4 Turbo, aiming to build an open, efficient, and inclusive AI ecosystem. Custom GPTs empower users to personalize AI assistants. The GPT Store connects developers and users. GPT-4 Turbo offers enhanced performance at a more competitive price. These announcements mark a new era for AI applications, making AI more accessible and customizable than ever before. The focus is on democratizing AI development and usage, enabling wider participation and innovation in the field.

Nvidia Shifts From Chipmaker to AI Infrastructure Leader

Nvidia Shifts From Chipmaker to AI Infrastructure Leader

Nvidia has transformed from a traditional chip company into an "energy giant" of the AI era. By building AI infrastructure, expanding application boundaries, and planning for future computing power, it is committed to promoting the popularization and application of AI technology. Despite facing challenges such as energy consumption, increased competition, and commercialization processes, Nvidia will continue to move forward in opportunities and challenges, leveraging its leading position in the field of AI computing power. The company's focus remains on providing the crucial infrastructure for the AI revolution.