Retail Gets Real artwork

#43 Using data to shape the shopping journey

Retail Gets Real · with Shelley Bransten, Ian Kahn · February 7, 2018 · 20 min

Summary

This episode cuts through the hype around retail technology, offering concrete strategies for ecommerce operators to leverage data. Learn how to merge online and offline shopping experiences seamlessly, personalize customer journeys, and drive profitability by understanding consumer behavior across all touchpoints. It emphasizes the foundational role of a unified customer view in modern retail.

Key takeaways

Themes

retail & omnichannelanalytics & attributionai & automation

Topics covered

data-driven decision makingunified customer viewomnichannel customer experiencepersonalizationretail technology integrationdata governance

Episode description

With all the new advancements in retail technology, it’s important for retailers to know how it applies to their business. In this episode, Salesforce SVP of Retail Industry Shelley Bransten and PwC Partner Ian Kahn discuss how retailers can leverage data to seamlessly merge the omnichannel shopping experience.

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Frequently asked about this episode

What does this episode say about retail & omnichannel?
Implement a unified customer view using data from all touchpoints (online, in-store, service) to personalize experiences and avoid generic interactions.
What does this episode say about analytics & attribution?
Utilize platforms like Salesforce to ingest, unify, and activate customer data for targeted marketing, personalized recommendations, and optimized inventory.
What does this episode say about ai & automation?
Prioritize data governance and ethical data usage when consolidating disparate data sources to build trust and ensure compliance.
What does this episode say about retail & omnichannel?
Focus on leveraging data to improve operational efficiency, such as inventory management across the supply chain, in addition to enhancing customer satisfaction.
What does this episode say about retail & omnichannel?
Actively use data analytics to predict customer needs and preferences, moving towards proactive rather than reactive customer engagement.

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