Changes are coming in fast for ecommerce right now. Retailers, fast moving consumer goods (FCMG), tech and durables (T&
D) and shoppers are all affected. Learn about the existing and upcoming changes here.
This insightful explainer reveals three common retail media errors that cost CPG sales. Find out what they are, how to avoid them, and why retail media holds so much potential for brand manufacturers if they know how to navigate this evolving landscape.
In this insightful ebook, discover the key American shopper trends that will define 2024. Uncover how shifts in consumer behavior, from the demand for health-focused products to Gen Z’s digital influence, are reshaping the retail landscape. Learn strategies to harness these insights, boost engagement, and drive growth. Transform your approach and stay ahead in a competitive market with actionable takeaways designed to elevate your brand strategy.
This explainer looks at the growing importance of retail media networks for CPG brands. With the decline of cookies, RMNs provide rich first-party data and personalized advertising. However, CPGs face challenges in integrating data from various networks and measuring ROI. Learn how to optimize your strategy with the right RMNs and advanced analytics tools.
Appearing among the top search results on a retailer’s website is crucial as it increases brand visibility and ensures that the brand stays at the top of the shopper’s mind.
This guide shows how the criteria for search results vary at different UK retailers for the cereal category.
In this explainer, we address the complexities of measuring market share on AMZ, emphasizing the need for granularity due to its unique operational model and immense sales volume. We highlight two key methods for applying granularity in AMZ market share measurement.
In this explainer, you’ll discover the essential strategies for measuring market share for consumer packaged goods. See why legacy machine learning models are obsolete and the necessity of two ML model features: sufficient sophistication to handle AMZ’s algorithm and automated data management and categorization.
Collecting data is the first step in the process of creating a digital shelf performance analysis. It’s also known as data acquisition, or harvesting, gathering, or scraping, and it simply means importing data from websites to files. Since so much depends on it – like accuracy and actionability–we’ve prepared five crucial questions you can ask about how data is processed.
This handy, step-by step guide walks you through all the possible out of stock issues you could encounter. The questions it poses guide you through whichever issue you’re having until it leads you to the solution. Keep this one nearby!
Cette analyse contient des données font par DIbyNielsenIQ sur l’importance de la promotion sur le drive avec une pression promotionnelle forte sur l’ensemble des marchés.
Ce rapport contient des données font par DIbyNielsenIQ sur les différences de prix entre mars 2023 et mars 2022 y compris une analyse comparative détaillée des tendances en termes de prix. Ce benchmark divise en quatre parties la variation de l’inflation des prix pour tous les majeurs enseignes en France.
Appearing among the top search results on a retailer’s website is crucial as it increases brand visibility and ensures that the brand stays at the top of the shopper’s mind.
Search optimization is essential in the omnichannel environment, as it not only drives sales but also helps to build a brand.
Staying relevant in the rapidly evolving ecommerce landscape requires continuous education. Attending conferences, keeping an eye on emerging brands, and improving one’s skills are crucial. Here are the three c’s that will contribute to your success as an ecomm manager.
Cette étude contient des analyses fait par DIbyNIQ. Ce benchmark divise en quatre groupes le niveau des DN pour tous les majeurs enseignes en France.
Utilisez-la comme guide pratique. Elle était réalisée à partir des assortiments provenant de nombreuses catégories communiqués par nos clients.
This ebook contains three unique analyses which shed light on Amazon’s search algorithm, the relationship between product rating and search position, and the importance of search ranking in terms of click through rate.
The three use cases in this study demonstrate exactly how CPGs can monitor the product launches of their competitors, and how this can inform their own product development.
Too often CPGs spend a lot of time and money on data solutions that don’t work. This practical guide shows you how to approach this project with a reliable method that has been proven to provide reliable analytics manufacturers can actually use and profit from.
Cette étude contient un mélange de onze analyses et sondages fait par DIbyNIQ. Les réponses du sondage était recueilli parmi nos clients et les analyses fonctionnent comme preuve de leur constates. Ensemble, ces éléments créent un benchmark sur l’état de l’e-media en France aujourd’hui.
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