Symplify, market leaders in CRM, CRO and AI cloud solutions, has strengthened its CRM Ecosystem with the introduction of its AI powered hyper-personalisation and recommendation software.
The newly launched recommendation functionality has been built and introduced by the Symplify team, and is one of the first truly collaborative projects to come from the acquisition of Jada that took place late last year.
It will neatly sit within Symplify’s module CRM suite and will be integral in helping customers optimise the site engagement handbook.
Customer behaviour will help shape the content they see using historical data to ensure only the most relevant content is displayed and consequently increasing customer life-time.
Symplify’s intuitive software amalgamates the AI product recommendation engine and the On-Site graphical optimisation.
The pairing empowers partners to create bespoke designs that deliver unique experiences for customers.
As well as arranging product pages that drive a propensity edge for viewing customers, it also includes onboard technology that allows for graphical flexibility.
This is geared toward testing various layout strategies to optimise the conversion rate on already AI-lead product recommendations.
Symplify’s ever-expanding portfolio of iGaming clients will be able to utilise the innovative technology instantly as part of any existing integration. Finnplay, the leading Nordic iGaming platform provider, is the latest to join the list of partners.
Symplify’s CEO Robert Kimber said: “Symplify’s AI-powered recommendation engine revolutionises the way in which we can understand user behaviour and positively adapt the website to make it as engaging as possible.
“Its algorithm continually optimises display functionality to ensure customers receive a highly personalised experience that builds genuine long-term relationships.”
This latest licence sits alongside the previously secured certifications for several tier-one markets, including Great Britain, Netherlands, Portugal, Denmark, Colombia among others
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