Marketing Automation and Retail: Personalise Your Users' Online Experience
In a general context like that of the Mass Market Retailers, it becomes essential to store data and information on customers and users in order to calibrate offers and content on the basis of interests and specific needs encountered, so as to increase the performance of the online shop.
Show the right product at the right time: thanks to Blendee's artificial intelligence algorithms, it is possible to customise product offers within different sections of the online shop, activating effective dynamic cross-selling and up-selling strategies, increasing sales and average receipt value.
Pop-up, static, warning message and much more: it personalises the browsing experience of every single user, showing messages and commercial proposals coherent with their browsing and purchasing path, it solicits undecided users in the most appropriate way, managing to interpret their behaviour and intervening in real time.
From customizing messages and product offers within the site, to sending targeted communications across multiple channels: thanks to Blendee's 300 types of triggers, it is possible to ring the user even when they choose to leave the site or not complete the purchase, or simply on occasions of promotions and special offers.
Communicate in a timely manner to your users even when they are browsing other sites: Blendee's push notifications allow you to communicate the right message at the right time, thus stimulating users to return to the site to take advantage of promotions and special offers.
Improve the performance of your Google ADS campaigns: with Blendee you can synchronise the audience segments you create and use them for campaigns, showing each user segment personalised messages related to their browsing behaviours and consistent with their interests.
Using sophisticated tracking systems and proprietary artificial intelligence algorithms, Blendee is able to collect large amounts of data from multiple channels by integrating them within a single environment and making them available at the single customer view level, including anonymous users.
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