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Two ways to put granularity to work
for measuring market share on AMZ
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.
Data collection discussion guide
Divided into five sections for quick reference, each part contains graphs or tables that provide the essential information regarding the crucial questions to ask about your data.
Retailer-specific SEO recipe
Appearing amongst the very first results on a retailer’s website is critical. Even if no conversion occurs, being visible means being top of mind.
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Location-based analytics

Data collection discussion guide

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.

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Digital shelf

Out of stock decision tree

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!

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Location-based analytics

The availability challenge for CPGs

Retailers use thousands of stores to fulfill orders every day. At the same time, shoppers have the flexibility to choose when, where and how these items reach them, from in-store pickup and curbside pickup to in-home delivery service, standard ship and express delivery.

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Location-based analytics

CPG data analytics, part 2

As mentioned in our first of these two articles, many CPGs are suffering from data overload. This article suggests actionable solutions for CPGs. It discusses establishing a data strategy, data lake development, the challenges in data analytics and what the future holds for CPG data.

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Location-based analytics

CPG data analytics, part 1

Strong data analysis can benefit several teams. The insights it provides are relevant to ecomm managers, KAMs, revenue management, supply chain teams, category managers and the C suite.
This article discusses the challenges and opportunities of analytics.

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Online CPG market in the UK
Location-based analytics

UK: ecommerce CPG market

The online UK retail market has grown at a pace of 20% year over year since 2016, making the UK the most active player in ecommerce in …

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online CPG market omnichannel
Location-based analytics

The CPG market is omnichannel

As consumers turn to the internet for their CPG grocery shopping, online and offline have merged into the consumer-centric omnichannel…

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