Restaurant booking service Square Meal saw a 67% increase in click-through rates and 400% boost in conversion by switching to Emarsys Predict. This case study looks at how the use of the new self-learning marketing engine boosted customer response. Using data from a customers’ most recent online behaviour to develop a constantly-evolving algorithm, the firm delivered automated campaigns, emulating customer targeting used by e-commerce giants such as Amazon and eBay.
Square Meal, a UK-based guide to finding and booking restaurants, bars, venues and events was the first Emarsys customer who integrated Predict as part of the eMarketing Suite.
Square Meal now uses Emarsys Predict as their recommendation technology which seamlessly links in with the Emarsys Automation Center. Visitors are now 67% more likely to click through to a restaurant from email recommendations, as well as 400% more likely to convert, thus growing their brand loyalty. With Emarsys Predict, recommendations are more relevant than ever, which strengthens the customer’s affinity with Square Meal.
“When searching for top-end recommendation tools, we did a lot of research over several months and even ran split tests. Emarsys Predict won hands-down,” said Ed Butcher, Head of Online, Square Meal. “With Predict, the breadth of Square Meal’s database is fully exploited so that our customers discover new places, making us truly ‘one site for all venues’.”
“This acquisition is a key part of our mission to deliver an ‘all-in-one’ sophisticated marketing solution with minimum complexity” said Hagai Hartman, CEO, Emarsys. "Our clients told us that they want a complete data-driven marketing package to deliver smart customer engagement. By integrating Scarab Research’s predictive recommendation with our existing solutions, we can now deliver this all in a single interface.”
