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We’ve gathered here all the materials on Net Promoter Score (NPS), one of the most important metrics for an e-commerce business.
NPS helps you measure how many customers are likely to recommend your store or the products that you’re selling to their friends, family or any other people. Online businesses use NPS to capture feedback from their customers about their pre and post-purchase experiences.
Ecommerce specialists love this metric because it allows them to measure customer satisfaction, customer experience, customer loyalty by using a survey with a single question: “How likely are you to recommend our shop?”.
Find out from our articles in this section how to measure NPS, how NPS is calculated, how many promoters, passives and detractors your e-shop has, how good your NPS score is and what tools help you calculate NPS automatically.
Discover how Natural Language Processing (NLP) revolutionizes survey analysis, delivering deeper insights on customers' experiences.
Maximize your NPS survey results with this collection of NPS questions examples and tips and tricks coming from CVO Strategists.
Read this case study to see how powerful measuring Net Promoter Score pre and post-delivery is and how different NPS results call for different action...
This article will get you through NPS benchmarking, the factors affecting NPS benchmarks, and the NPS benchmarking by industry. Eliminate every last doubt about NPS...
Learn more about Promoters, Passives, and Detractors: how to keep them happy, fix their problems, and move them into better categories.
Why the Net Promoter Score (NPS) is such a useful metric in online marketing and how to easily use it yourself.
Discover the meaning of “good” and ”bad” Net Promoter Scores, the idea behind the NPS scale, and compelling use cases of the NPS.
Check out this guide to NPS Analysis - discover how customer feedback and data can direct you towards improving the health of your business.
Discover the many shapes and forms an NPS survey can take and the wonders it can work.
It’s called Reveal and it uses automated segmentation and insights based on your first-party data to help you increase the number of loyal customers and improve Customer Lifetime Value.
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