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Insights into Google, Bing and Amazon 2024 Ad Changes Update

Google, Bing and Amazon 2024 Ad Changes Update

With the advancements in the e-commerce industry, businesses need to synchronize with the latest technological changes. One pivotal recent development is the changes in shopping Ads by Google, Bing, and Amazon.

These changes transform the way the e-commerce sector functions. Businesses handling extensive product inventories must keep abreast of the current modifications. It is challenging but essential for maintaining a competitive edge. Opt for Google Ads Management services in India to incorporate the latest changes in your company’s Google Ads strategy.

The blog post helps you understand the current changes in shopping ads across Google, Bing, and Amazon. It offers strategies for exploring these upgrades and navigating their implications for your business.

Exploring Google’s Integration of Search, Social, Local, Shopping, AI and Ads

Personalized and Engaging User Experience

Google is incorporating many features into its Search and Discover platforms. It is crafting a landscape where visitors can get a blend of search results, local information, shopping options, and more, catering to their preferences.

Above 59% of users access the platform through mobile devices, so providing a seamless and immersive experience is crucial. Mobile users can access information directly in their Discover feed using different formats, like news, articles, social media posts, and shopping outcomes. This is essential for marketers to optimize content for first-time mobile users.

New Features and Opportunities for Advertisers

Google’s Search Generative Experience (SGE) is a revolutionizing advancement that blends search with generative AI, offering visitors comprehensive and bespoke outcomes. This has paved new channels for marketers to reach their audiences effectively.

Critical Features to Explore

  • Google Discover Feed: A personalized feed that has headlines, videos, and hot topics, creating new verticals for visibility and engagement.
  • Web Stories with Ads: Incorporated into the Discover Feed, such as stories on social media, engaging users for a long.
  • Social Media Videos and YouTube Shorts: These are reflected in the Discover feed, with options for different formats and expanding reach.
  • AI-generated Notes in SERPs: Enable users and brands to leave comments and respond, providing a space for targeted ads.

Implications for Marketers

An Omni channel strategy is essential, highlighting content development that mixes smoothly across various formats and platforms.

Moreover, improving A-generated features and social engagements gathers first-party data.

Google Merchant Center: Simplifying Product Management

Google Merchant Center Next is a crucial upgrade that simplifies business product data management. The new version retrieves product details directly from your website, reducing manual upload requirements.

Essential Upgrades

  • Simplified User Interface: A more intuitive design for assessing product status and performance.
  • Direct Product Editing: Allows direct edits in the platform, thus saving time and input.
  • Improved Diagnostics: Accurate and precise reviews of product errors and status.
  • Integrated Insights: All performance insights are kept in one place, making it simple to spot best sellers and market trends.

Advantages of Using Channable for Feed Management

For more prominent e-commerce brands, a tool like Channable can simplify feed optimization. Channable’s integration with Google Shopping allows data formatting and provides effective categorization, lowering the time invested in manual adjustments. It also offers performance-based insights, helping optimize campaigns and improve product visibility. 

Bing’s Upgrades: AI-Powered Shopping Experiences

Microsoft is also experimenting with its AI capabilities via the Cloud for Retail Platform. Capilot, driven by GPT-4, customizes shopper experiences and enables retail associates with AI-powered insights.

Enhancements for Retailers

  • Bespoke Shopping: Generative AI develops distinguished content for each customer, enhancing sales via tailored recommendations.
  • Efficiency for Retail Workers: AI tools allow sales associates to fetch data and encourage customer inquiries quickly.
  • Unified Data Insights: Microsoft Fabric systematizes data, connects e-commerce devices, and provides pre-made analytics templates, improvising decision-making.

Amazon Sellers: Honing Inventory Management for Ad Success

Amazon has storage limitations depending on the Inventory Performance Index (IPI) and current sales history. Sellers must handle their IPI by optimizing excessive inventory, self-through rates, and stranded inventory.

Improving Your IPI Score

  • Excessive Inventory: Eliminate or discount slow-moving things to lower holding prices.
  • Self-Through Rates: Concentrate on rapid inventory
  • Stranded Inventory: Routinely rectify issues to eliminate incurring FBA storage fees.
  • In-Stock Inventory Strategy: Ensure popular items remain consistently available by managing smaller, more frequent restocks.

Strategy for New Sellers:

Start with limited inventory to gauge demand, minimizing storage costs. This approach helps understand sales rates and optimize future inventory levels efficiently.


In conclusion, navigating these dynamic changes requires a proactive approach and an omnichannel strategy that adapts to evolving technological landscapes.

By embracing these updates and integrating agile, data-driven strategy, businesses can optimize their e-commerce advertising efforts and achieve significant success in 2024 and beyond.

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