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.
An above average surge in inflation began to take hold throughout much of the world in the beginning of 2021. At the time of writing, the trend shows no signs of abating and prices are rising at the fastest pace since the 1980s.
As in many other countries in the world, the rapid expansion of quick commerce is having an impact on the omnichannel grocery sector. What does this mean for retailers and CPGs? How can CPGs benefit from this shift. Our in-depth whitepaper answers these questions and many more. It includes several exclusive analyses.
Getting the most our of your online media activations requires some planning and discussion with retailers and supply chain teams. These analyses shed light on how to maximize ROAS.
How a product performs in search is directly correlated to conversion rates.
That’s why measuring the search KPIs comprehensively, and not just from a sample of stores, is critical.
The relationship between granularity and out of stock rates is explored in this ebook, the second of two parts.
Only accurate and granular OOS data is actionable because it gives complete visibility on actual performance by store, which can help identify opportunities, localize issues and address gaps in availability.
All manufacturers have differing levels of digitization, and capability needs vary accordingly. Necessary adaptations can range from an internal digital transformation to adopting a new operational model.
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