1.MTA vs. MMM: Which marketing attribution model is right for you?
Multi-touch attribution (MTA) and marketing mix modeling (MMM) are two key methodologies for measuring marketing effectiveness. MTA focuses on tracking individual customer interactions across digital touchpoints, while MMM analyzes historical marketing spend and external factors to assess overall impact. Combining both approaches can provide a comprehensive view of marketing performance. [Source: Search Engine Land]
2. Generative AI hits a fashion acceleration point
Generative AI is now being implemented in real-world applications, with retailers seeing tangible results. This shift has allowed companies to rapidly integrate AI and maintain a competitive edge. [Source: Vogue Business]
3. OOH To skyrocket its growth with technical innovation
Out-of-home (OOH) advertising is set for significant growth in 2025, driven by digital and technological innovations. Digital OOH, especially in high-footfall locations like malls and airports, is expected to expand rapidly, contributing to the overall increase in OOH advertising revenue. [Source: Indian Television]
4. How Autonomous AI Shopping Agents Will Transform Retail
Retail’s AI revolution is advancing to a new phase with autonomous AI shopping agents that can complete shopping tasks without human intervention. This shift from generative AI to agentic AI is transforming how consumers discover and purchase products, pushing brands and retailers to adapt their digital strategies and content. [Source: Forbes]
5. AI: Your Digital Lighthouse for 24/7 Customer Engagement
AI is revolutionizing customer engagement by providing 24/7 support, personalizing interactions, and streamlining processes across sales, support, and success teams. It reduces labor costs and enhances customer satisfaction by automating routine tasks and ensuring seamless, consistent help. [Source: CMS Wire]
6. The Art of Localization Strategy: Beyond Translation for Better CX
Creating a personalized experience requires understanding cultural nuances and balancing cost and quality. Effective localization strategies prioritize high-traffic content and adapt to user needs, while also giving users control over language, currency, and region settings. [Source: CMS Wire]
7. Aligning AI Agents With Marketing Automation Technology
AI agents and marketing automation, when aligned, streamline processes and enhance customer experiences by handling repetitive tasks and enabling smarter decision-making. This integration leads to faster campaign launches, higher ROI, and more personalized customer journeys. [Source: CMS Wire]
8. Why the Future of Customer Service Depends on Human-AI Collaboration
The future of customer service lies in human-AI collaboration, where AI handles routine tasks and humans manage complex interactions. This hybrid approach combines AI’s efficiency with human empathy, ensuring a seamless and personalized customer experience. Businesses must balance automation with human oversight to avoid customer frustration and enhance satisfaction. [Source: CMS Wire]
9. 94% of Indian B2B marketers see high ROI with AI: Report
Nearly half of Indian B2B marketers must justify their marketing spend to C-suite executives monthly, with 94% seeing high ROI from AI tools. The main challenges they face include lack of standardized benchmarks, difficulty in attributing conversions, and integration issues between data platforms. [Source: Social Samosa]
10. Synthetic data takes aim at AI training challenges
Organizations are increasingly turning to synthetic data to protect customer privacy and fill gaps in their internal data. Experts predict that by 2028, 80% of data used by AIs will be synthetic, up from 20% in 2024. This trend is driven by the need for better AI training data and compliance with privacy laws like GDPR. [Source: CIO]