In the retail calendar, Christmas is an extremely important date. Much awaited every year, this celebration is one of the ones that most boosts commerce . However, retail managers have two major challenges: standing out from the competition without losing revenue and getting customer engagement .
And one of the most recommended tools for marketing campaigns on this date are recommendation systems .
Across e-commerce and streaming platforms, recommendation poland mobile database are a common feature everywhere — from Tinder to Netflix, Spotify to LinkedIn, and of course, Amazon. With artificial intelligence, generative AI , and machine learning making these recommendations even more effective, we’re seeing them used across almost every type of website, e-commerce site, and app.
According to a McKinsey study , 67% of consumers expect relevant product or service recommendations from brands . Salesforce points out that companies that invest in recommendation systems see a 26% increase in revenue , leveraged by product recommendations based on Artificial Intelligence and Machine Learning.
Want to know how to do the same in your business? Check out the article and learn how to explore this resource in a smart way!
What are recommender systems?
Recommendation systems are mechanisms that use machine learning algorithms to segment customers based on user data and behavioral patterns . They evaluate purchasing history, browsing history, and likes, drawing up a user profile. They then list personalized product or content suggestions.
This technology is a valuable resource for the company's digital marketing strategy and positioning, not only during the holidays, but throughout the year. This is because the recommendation is a bridge that connects the customer to the solution they are looking for .
According to data from McKinsey, 76% of consumers are more likely to buy from brands that personalize services .