Likewise, a B2B company's website can leverage Evergage Recommend to algorithmically display the most relevant case studies, videos, customer logos, blog articles or product offerings to a visitor based on his industry, company, interests, affinities, survey responses and more.
"As expectations to have meaningful and personalized, 1:1 interactions soar, companies need advanced solutions to help deliver experiences that are relevant to each visitor or shopper," said Karl Wirth, CEO and co-founder of Evergage. "In expanding the scope of Evergage Recommend's machine learning capabilities, we're giving marketers an incredibly powerful tool for delivering holistic, personalized experiences at scale."
Leveraging in-depth behavioral data, customer intent insights and individual profile data, as well as predictive analytics and machine-learning algorithms, Evergage Recommend empowers marketers across industries to make individual recommendations in real time and bring them to life in novel ways. New enhancements include:
- SmartNav – With this new Evergage Recommend feature, marketers can now tailor website navigation to each visitor utilizing recommendation "recipes" based on product brand, class, style, gender and keyword. SmartNav can be used not just to change the main navigation menu but also other sections of the site to highlight key categories or brands that resonate with an individual.
- SmartTrends – Companies using Evergage Recommend can now tap into the power of the crowd and show visitors how many others have been viewing or have purchased a specific item. For example, fashion retailer Ashley Stewart includes alerts below their items to let shoppers know how many others have recently viewed the style, such as "451 Divas viewed this style today."
- New Algorithms – Evergage Recommend enables marketers to quickly build their own recommendation recipes using one or more algorithms and applying filters, boosters and variations. This now includes three new core algorithms – Similar Items, Most Recently Published and Soon to Expire – that can be layered into any recipe and applied for true 1:1 personalization based on individual affinities and intent.
"Consumers today expect us to know who they are, what they're looking for on our site, the brands and style they love and their preferred price range," said Tito Costa, chief marketing officer, ZALORA, Asia's leading fashion online retailer. "By using Evergage Recommend and putting customer and behavioral data to work, we are able to recognize individual shoppers when they land on ZALORA, and deliver tailor-made experiences and recommendations in real time, providing them a more meaningful and relevant online shopping experience."
For more details on the new enhancements to Evergage Recommend and how real-time personalization helps marketers take digital customer interactions to the next level, visit: http://www.evergage.com/products/recommend/.
Only Evergage's real-time personalization platform delivers The Power of 1, enabling digital marketers to transform the dream of 1:1 customer engagement into reality. Combining in-depth behavioral analytics and customer data with advanced machine learning, Evergage provides the one platform you need to systematically understand and interact with each person that visits your site or uses your app – one at a time, "in the moment" and at scale – to deliver a maximally relevant, individualized experience. Evergage's powerful and flexible cloud-based platform delivers real-time personalization to more than 1 billion web visitors, improving revenue growth, demand generation and customer success for over 150 organizations, including Academy Sports, Intuit, Publishers Clearing House, Rue La La and Zumiez. Evergage is a two-time winner in the Best in Biz Awards, Golden Bridge Awards, Stevie American Business Awards and MITX Awards. For more information, visit http://evergage.com or contact the company at email@example.com or 1-888-310-0589.
Phone: +1 781-418-2416
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