SCCyberworld

Wednesday, March 19, 2014

Emarsys launches predictive technology in Indonesia to strengthen customer engagement and drive revenue for digital marketers

Launch customer Square Meal see a 43% increase in click through rates by switching to emarsys Predict

Jakarta / Indonesia, 19 March 2014 – Emarsys, a leading global provider of customer engagement solutions, today announced the launch of Emarsys Predict in Jakarta. This self-learning marketing engine intelligently creates unique and individually relevant recommendations based on online behaviour analysis and predictive technology.

Using data from a customers’ most recent online behaviour to develop a constantly-evolving algorithm, Emarsys Predict allows marketers to deliver automated campaigns that can be smarter than ever. This technology allows Emarsys to emulate the kind of sophisticated customer targeting that ecommerce giants such as Amazon and eBay currently undertake.

Emarsys, who have numerous clients in Indonesia, are confident that Predict will revolutionize the Indonesian eCommerce space. With 73 million online users, a further 20 million predicted by 2015, and a rapidly growing online purchasing culture (with expected revenue of US$10 billion by 2015) – according to eMarketer, Predict will help marketers grow their revenue and ROI while strengthening customer loyalty.

Valadoo.com an Indonesian online travel agency, who have been using the Emarsys eMarketing Suite for nearly a year now, states “The growth of our business has been consumer-centric and data driven. We always put good and in-depth business intelligence in our business and markerting strategy,” said COO and co-founder Aris Suryamas. In addition, he said “the eCommerce scene in Indonesia has been booming over the last few years. As Indonesians become more familiar and comfortable with the social, mobile and digital world, the market for a product like Predict will become very apparent.”

LivingSocial, a global social commerce company, who has been using the Emarsys eMarketing Suite for nearly 3 years now, states “the eCommerce scene in Indonesia has been booming over the last few years. As Indonesians become more familiar and comfortable with the social, mobile and digital world, the market for a product like Predict will become very apparent.

The first Emarsys customer to deploy Predict is Square Meal, the UK’s leading guide to finding and booking restaurants, bars, venues and events. 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 four times 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 their customers discover new places, making them truly ‘one site for all venues’.”

"We see a lot of potential for Predict in Jakarta. From retailers to publishers, Predict will dramatically change how marketers reach and engage with existing and new customers through personalised targeted communications,” said Ohad Hecht, Emarsys Managing Director Asia Pacific. “Predict not only increase marketers’ return on investment but also improves the customers' online experience."

Emarsys has integrated this latest technology into its eMarketing Suite after completing the acquisition of Scarab Research. Scarab Research’s proven track record of empowering marketers to make smart recommendations across websites and email campaigns made it the ideal partner.

Emarsys Predict outperforms rule-based recommendations, price comparisons, manual product selections, and custom deployments. Square Meal has already demonstrated how Emarsys Predict has improved their customer experience and customer retention – for more information please visit www.emarsys.com.

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