Learn how to collect, analyze, and use data to improve your retail marketing performance. Find out the best practices and examples of data-driven retail marketing.
Secure sustainable retail success with a focus on customer engagement, data analytics, and embracing innovation for the future.
Retail analytics using MS Excel - Covering Forecasting, Market Basket, RFM, Customer Valuation & Price Bundling
Learn about six effective ways to measure the emotional impact of retail marketing campaigns, using both quantitative and qualitative methods.
Revolutionize your retail marketing strategy with AI-powered analytics! Discover 6 ways to boost your marketing efforts, from personalized customer segmentation to dynamic pricing strategies. Stay...
Learn how to follow up, add value, stay in touch, show your personality, and be proactive after meeting a professional in marketing analytics.
Use advanced data analytics and social listening technologies to uncover business insights and support retail marketing strategies
Transform your retail strategy with advanced analytics. Gain insights into customer behavior, optimize marketing, and increase sales.
배울 내용 ; Learn to calculate customer’s lifetime value under different scenarios and use it to increase the company’s profitability. ; Incorporate the impact of discount rate and retention rate to calculate customer value ; Run Monte-Carlo Simulation to model uncertainity in Market
Discover Engage: the all-in-one retail marketing solutions you need. A simple platform to monetize foot traffic with retail digital signage display campaigns in your store.