1.Why Brand Advertising Matters For Paid Media Performance
Brand advertising is crucial for building awareness and creating demand, which complements performance marketing efforts. The article highlights the importance of balancing brand and performance activities to avoid the “Advertising Doom Loop” and achieve long-term growth. [Source: Search Engine Journal]
2. How to audit your brand using search data
SEO data can be a powerful tool for brand audits, revealing gaps in brand trust and positioning. By analyzing search trends and user queries, brands can uncover significant shifts in consumer perception and market competition, as seen in the sports drink industry. [Source: Seach Engine Journal]
3. The Urgency of Transparency, Control, and Data Use in CTV Advertising
CTV advertising is rapidly growing, with spending expected to increase by 12% in 2024. However, challenges like high data costs and fragmented media buying hinder its effectiveness. Advertisers need clearer metrics and unified strategies to maximize ROI and ensure their ads reach the right audience. [Source: AdWeek]
Generative AI is amplifying ad tech fraud by enabling content farms to steal publishers’ ads.txt files and hijack ad revenue. DoubleVerify has identified over 100 sites using AI to mass-produce low-quality content and spoof ads.txt files, posing a significant challenge for the industry. [Source: DigiDay]
5. Is Your Brand Ready to Seize the Full Value of Experiences?
Consumers now prefer participatory experiences over passive ones, driving the Experience Economy towards a projected $1.5 trillion by 2032. C2’s report highlights the need for adaptive, audience-led events to enhance engagement and return on experience. [Source: AdWeek]
6. Open Source LLMs Pave the Way for Responsible AI in India
Open-source large language models (LLMs) are being used in India to create ethical and effective AI solutions in healthcare, agriculture, and education. Experts emphasize the importance of fine-tuning these models on locally relevant datasets to reduce bias and improve accuracy. [Source: Analytics India Magazine]
7. Supply Chain Network Optimization for Quick Commerce: A Data Science Perspective Technology
Quick commerce (Q-commerce) is revolutionizing retail and logistics by demanding near-instantaneous fulfillment within 10 to 30 minutes. This requires hyper-efficient, adaptive supply chain networks optimized through advanced data analytics, machine learning, and real-time decision-making frameworks. [Source: Deccan Chronicle]
8. Declassified: how AI is cracking the creative effectiveness code
Kantar’s AI-enabled creative testing tools have decoded the patterns behind award-winning ads, revealing the 5Cs: Courageous, Catastrophizing, Candid, Consistent, and Comical. These tools help marketers predict ad performance, optimize campaigns, and maintain creative quality at scale. [Source: The Drum]
9. The Real Reality of VR and AR in Customer Experience
Immersive technologies like VR and AR are transforming customer experiences by enabling interactive and personalized product visualizations and services across various industries. However, challenges such as high development costs, limited device availability, and data privacy concerns need to be addressed for broader adoption and effective implementation. [Source: CMS Wire]
10. How to Build a Data Story That Drives Customer Experience
CX leaders are leveraging data storytelling to transform analytics into actionable business strategies. AI tools like ChatGPT’s ADA enhance these stories by providing deeper insights. Effective data stories combine context, visualization, and clear action steps to improve customer experiences. [Source: CMS Wire]