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  • Weekend Digital Media Round- AI-native advertising surges in India as report flags huge knowledge gap among consumers, How UX Professionals Can Lead AI Strategy, Has the marketing funnel reversed as content and commerce converge, & More….

    Weekend Digital Media Round- AI-native advertising surges in India as report flags huge knowledge gap among consumers, How UX Professionals Can Lead AI Strategy, Has the marketing funnel reversed as content and commerce converge, & More….

    1.AI-native advertising surges in India as report flags huge knowledge gap among consumers

    India is emerging as a global hub for AI-driven advertising, with rapid adoption of hyper-personalisation and vernacular AI. LS Digital’s report highlights strong trust in AI, growing social commerce, and the need for brands to balance innovation with consumer education amid a major knowledge gap. [Source: StoryBoard 18]

    2. How UX Professionals Can Lead AI Strategy

    UX professionals should proactively lead their organization’s AI strategy to ensure user needs and quality standards aren’t compromised. The article outlines a six-step framework: understand management’s goals, audit workflows, set principles, build and pitch an AI-UX strategy, run pilots, and demonstrate value—positioning UX expertise as essential for successful AI adoption. [Source: Smashing Magazine]

    3. Has the marketing funnel reversed as content and commerce converge?

    Marketing experts discussed how social commerce is reshaping brand strategies, emphasizing data-driven decisions, tailored content for platforms like TikTok and Reddit, and the growing convergence of content and commerce. The session highlighted that creativity and human connection remain crucial, with social commerce projected to drive $492 billion in global sales annually. [Source: The Drum]

    4. How Modern Contextual Targeting Is Reshaping Campaign Planning

    Modern contextual targeting is evolving into a privacy-first, cookie-free solution that blends audience precision with contextual relevance. By analyzing content consumption patterns, it enables marketers to reach receptive audiences efficiently, ensuring compliance and long-term adaptability in campaign planning.  [Source: AdWeek]

    5. AI’s Transformation of Online Shopping Is Just Getting Started

    AI is rapidly reshaping online shopping, with generative AI searches for products growing 4,700% between 2024 and 2025 and nearly a quarter of global consumers using AI as their primary shopping tool. Brands must adopt Generative Engine Optimization (GEO) alongside traditional SEO and prepare for the rise of autonomous AI shopping agents, which could drive a $3–5 trillion market by 2030. [Source: Business of Fashion]

    6. Well-Known SEO Explains Why AI Agents Are Coming For You & What To Do Now

    AI-driven workflows are set to transform SEO, shifting the focus from optimizing for search engines to creating and managing agentic systems. Marie Haynes emphasizes experimenting with tools like Gemini Gems and chaining agents to scale processes, predicting that businesses will adopt these workflows as they become profitable. Professionals who master AI agents now will hold a significant advantage in the future. [Source: Search Engine Journal]

    7. Brand protection in PPC: How to protect your brand and prevent risks

    Brand protection in PPC is about preventing unauthorized bidding, ad hijacking, and affiliate violations on branded keywords to safeguard traffic and reduce costs. A strong strategy involves monitoring, automation, strict affiliate rules, and consistent enforcement to maintain clean auctions and protect ROI. [Source: Search Engine Land]

    8. How zero-click and AI search are changing marketing

    AI-driven search and zero-click results are reshaping how users interact with search engines, reducing website traffic by providing instant answers directly on results pages. This shift challenges traditional SEO metrics and forces marketers to focus on visibility within AI summaries, brand presence, and deeper, trust-based content to stay relevant. [Source: Marketing Tech News]

    9. Google AI Mode Links Updated & Adds Contextual Introductions

    Google has enhanced AI Mode in search by increasing inline links and redesigning them for better usability. It also introduced contextual introductions—short statements explaining why a link might be helpful—to improve user engagement and encourage clicks. [Source: Search Engine Roundtable]

    10. How generative AI is transforming brand storytelling in the Middle East

    Agentic AI is transforming marketing by enabling autonomous research, comparison, and transactions, reducing reliance on traditional touchpoints. This shift requires marketing teams to optimize content for AI environments, update attribution models, and develop new skills in automation and hybrid experience design to stay competitive. [Source: CMS Wire]

  • Weekend Digital Media Round-Up: 120% of quick commerce growth and India’s leadp into the millisecond economy- Report, Immersive technologies are shaping the future of e-commerce right now, How is Predictive Analytics Reshaping Global Tech & More…

    Weekend Digital Media Round-Up: 120% of quick commerce growth and India’s leadp into the millisecond economy- Report, Immersive technologies are shaping the future of e-commerce right now, How is Predictive Analytics Reshaping Global Tech & More…

    1.120% of quick commerce growth and India’s leadp into the millisecond economy- Report

    ​India’s festive retail landscape is rapidly evolving with quick commerce and the “millisecond economy” driving demand for instant delivery and seamless shopping experiences. Tier 2+ cities and Gen Z are fueling growth, while retailers embrace omnichannel strategies and digital transformation to meet rising expectations for speed and cultural relevance. [Source: Brand Equity]

    2. Immersive technologies are shaping the future of e-commerce right now

    Immersive technologies like augmented reality are transforming e-commerce by bridging the gap between online and in-store experiences. Retailers are leveraging AR for virtual try-ons, product visualization, and personalization, driving higher engagement, conversion rates, and customer loyalty. [Source: The Drum]

    3. How is Predictive Analytics Reshaping Global Tech?

    Predictive analytics is transforming technology strategies by combining historical data with machine learning to forecast outcomes and reduce risks. Core techniques include regression, decision trees, and neural networks, while major players like Google, IBM, and Harvard are advancing tools for applications such as fraud detection, asset optimization, and long-term planning. [Source: Technology Magazine]

    4. How Holiday Shoppers Are Using Generative AI and What It Means for Retailers

    Between 15% and 30% of online shoppers are expected to use generative AI for holiday shopping this year, mainly for product research and recommendations rather than purchases. ChatGPT leads as the most cited AI shopping tool, followed by platforms like Perplexity and Claude. [Source: AdWeek]

    5. India’s retail media boom now runs on fulfilment, not discounts

    India’s retail media growth is now driven by fulfilment speed rather than discounts, with platforms like Amazon, Flipkart, and quick-commerce players gaining ad budgets by ensuring rapid delivery. Fast delivery boosts conversions by up to 40% during festive periods, making operational reliability the key differentiator for brands and platforms. [Source: Exchange4Media]

    6. New markets, new customers: why digital accessibility is now a growth strategy

    Digital accessibility is emerging as a key growth strategy, not just a compliance requirement. Research shows that 61% of consumers abandon purchases due to poor accessibility, costing businesses over €50 billion annually. Accessible websites also gain 23% more organic traffic and better keyword rankings, making inclusivity a clear competitive advantage. [Source: Marketing Tech News]

    7. Media and creative convergence – the long-awaited shakeup

    Creative agencies are undergoing a major transformation as traditional models give way to digital-first strategies. Brands now thrive through countless personalized interactions across devices, but many agencies still resist fully embracing this shift despite its clear potential. [Source: The Drum]

    8. Use content chunking to structure information for better UX, rankings, and AI visibility

    Content chunking organizes information into smaller, digestible sections to improve readability, reduce cognitive load, and boost SEO performance. It helps search engines and AI systems extract precise answers, increasing chances for featured snippets and AI Overviews while enhancing user engagement and dwell time. [Source: Search Engine Land]

    9. How performance teams are taking over influencer marketing in 2025

    Influencer marketing is shifting from a brand-focused activity to a performance-driven strategy, with companies integrating creators directly into paid funnels for measurable growth. Platforms like The Cirqle enable brands to automate workflows, leverage AI-powered insights, and scale creator-generated content for high-performing ads across Meta, TikTok, and other channels. [Source: Marketing Tech News]

    10. SEO, GEO, or ASO? What to call the new era of brand visibility in AI [Research]

    AI-driven search is reshaping brand visibility, introducing terms like GEO, AEO, and AISO alongside traditional SEO. Surveys and trend data show GEO and AISO gaining the most traction, with AISO dominating job postings, signaling that SEO is evolving—not disappearing—into frameworks optimized for generative AI platforms. [Source: Search Engine Land]

  • Unleashing the Power of Brand Analytics and Listing Optimization on Amazon

    Unleashing the Power of Brand Analytics and Listing Optimization on Amazon

    In the world of e-commerce, Amazon reigns supreme, offering a vast marketplace for both sellers and buyers. If you’re a brand owner or seller on Amazon, you know that staying ahead of the game requires more than just listing your products. It demands insights and strategies that can give your brand a competitive edge. Enter Amazon Brand Analytics (ABA), a tool that can be your secret weapon in gaining a competitive edge. In this blog, we will break down this tool in easy words so you can use it like a pro!

    What Is ABA?

    Amazon Brand Analytics is a robust suite of tools and reports that provide brand owners and sellers with an extensive arraydata and insights to enhance brand or sellers performance on the Amazon platform. It empowers you to make data-driven decisions, optimize your listings, and understand customer behavior, ultimately boosting your success on Amazon.

    How to Access ABA:

    Accessing Amazon Brand Analytics is a straightforward process, comprising four essential steps:

    • Initiate Brand Registration on Amazon: The process starts with brand registration specifically on Amazon India. It’s crucial to have a pending trademark registration before you apply for Amazon Brand Registry. For Indian sellers, this may require submitting trademark applications to the relevant Indian trademark authorities.
    • Complete the Brand Registry Application: After your trademark application is in progress, proceed to complete the Amazon Brand Registry application for your brand on the Amazon India platform.
    • Verification and Approval: Amazon will verify the information provided in your application. Once approved, you’ll gain access to Amazon Brand Analytics tools and reports tailored to the Indian marketplace.
    • Utilize Amazon Brand Analytics: After approval, you can access Amazon Brand Analytics to leverage valuable data and insights to enhance your brand’s performance on the Amazon India platform.

    Brand Analytics: A Deep Dive:

    Amazon Brand Analytics offers six distinct types of reports, each tailored to provide unique insights into your Amazon business:

    (i) Search Catalogue Performance

    Implication: Identify top-performing ASINs and optimize low-performing ones to maximize your sales potential.

    (ii) Search Query Performance

    The Search Query Performance dashboard offers a detailed view of the queries that lead customers to your products. It shows you the most popular keywords that lead people to your products and how well they work. You can see this for your whole brand or just one product. It includes metrics like impressions, clicks, cart additions, and purchases for each query. You can also measure how well your brand is performing in comparison.

    Implication: Understand what customers are searching for and optimize your product listings accordingly to improve visibility.

    (iii) Top Search Term

    This dashboard sheds light on the most frequently used search terms for your products. It ranks them by search frequency and shows the top 3 clicked products, categories, and brands for each term.

    (iv) Repeat Purchase Behavior

    Repeat customers are the lifeblood of any business. This dashboard allows you to analyze customer retention and repeat purchase patterns, both for your brand and specific ASINs. It tells you things like how many times people buy, what they buy, and if they keep coming back for more. Gain insights into sales, units, customer counts, and more to understand purchase behaviour.

    Implication: Identify products that customers love and optimize underperforming SKUs. Retarget customers who have previously purchased your products.

    (v) Market Basket Analysis

    Discover which products are frequently purchased together. This information can guide effective building and cross-selling strategies. Helping sales and improving the customer experience.

    Implication: Identify cross-selling and bundling opportunities to boost sales.

    (vi) Demographics

    Connect with your target audience effectively by leveraging customer demographics insights. Understand the age groups, income ranges, education levels, gender, and marital statuses of your customers.

    How to Use ABA:

    Listing Optimization: Identify high-performing keywords using reports like Search Performance Query and Amazon Search Terms to enhance your product listings.

    Effective PPC Management: Improve PPC campaigns by spotting underperforming keywords through the Search Performance Query report, reducing ad spend, and boosting ROI.

    Product Research: Utilize the Market Basket Analysis Report to discover cross-selling and bundling opportunities, expanding your product range and boosting sales.

    Sales Optimization: Analyze product performance with the Search Catalog Performance Report to find areas for improvement and replicate successful strategies.

    Customer Loyalty: Use the Repeat Purchase Behavior Report to pinpoint products with high repeat purchase rates, facilitating the creation of subscription options or loyalty programs.

    Benefits of ABA:

    Accurate Marketplace Data: Access precise data directly from Amazon’s internal metrics, including customer behavior, search patterns, and buying habits.

    Market-Wide Reporting: Unlike other tools, ABA provides insights into the broader Amazon market, not just your brand or ASINs, helping you spot trends and opportunities.

    Free to Use: Registered brand owners and professional sellers can access this valuable data at no cost, making it accessible for businesses of all sizes.

    Amazon Brand Analytics (ABA) is your key to success on the largest online marketplace. Access it, explore reports, and apply data-driven strategies to boost your Amazon business and gain a competitive edge. Whether you’re a seasoned seller or new to Amazon, leverage this invaluable tool to unlock your brand’s full potential in e-commerce.

     

     

     

     

     

     

     

     

     

     

     

     

     

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