Create Personalised Customer Experiences that Improve the Performance of Your Online Shop
In an increasingly competitive market such as online publishing, gaining readers through personalised and valuable customer experiences becomes essential. Knowing their interests and passions and anticipating their desires, providing advice and title suggestions at the right time, is the key to growing your online business.
Centralize within a single environment data and information about your users from multiple channels and use it to profile them: thanks to Blendee's advanced segmentation system, you can cluster your contacts according to preferred interests, passions, authors and genres and use this information to personalise their customer experience in every detail.
Master data, browsing and purchasing behaviours, but not only: collect more information that allows you to segment your audience in even more detail by knowing their habits and interests. With Blendee's dynamic forms you can create a progressive profiling strategy, aggregating all the information collected from time to time.
Pop-up, static, warning message and more: transform each of your visitors into a lead, show relevant and coherent behavioural messages according to the navigation path and to the segment they belong to, accompany the user to perform actions, personalising their customer experience within the eCommerce site.
From customizing messages and product offers within the site, to sending targeted communications usable on multiple channels, from SMS to e-mail: thanks to Blendee's more than 300 types of triggers, it is possible to re-contact the user even when they choose to leave the site or not complete the purchase, or simply to thank them on special occasions.
Customer experience even more relevant to each individual user: thanks to Blendee's artificial intelligence algorithms you can personalise product offers within the different sections of the online shop, activating effective cross-selling and up-selling strategies by increasing sales and average receipt value.
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