Publisher Discovery is excited to announce the launch of a brand new platform driven by advanced AI and machine learning technology. The development of Publisher Discovery competitor analysis tools followed the initial trialling of the in-network app with the Affiliate Future network. This gave their merchants access to AI and Machine Learning applied to management and recruitment of new affiliates.
Results from the in-network technology have shown hugely increased user efficiency in internal affiliate recruitment saving hours of account management time each week. The effectiveness of the technology led to the award of ‘Highly Commended’ in the Best Use of AI category at this year’s Performance Marketing Awards. This really proved the power of AI in affiliate recruitment.
“The ability to use AI to analyse the network data – and from that, to match the best affiliates to the right merchant programmes has proven its worth in recruitment time savings as well as in commercial terms,” said Tom Bourne, CEO of Publisher Discovery.
John Vickers of Affiliate Future which trialled the initial installation of Publisher Discovery’s Cloudfind app commented: “This has been a great proof of concept for us and has helped our clients to achieve some impressive results really quickly. We’ve been really looking forward to adding the new tools analysing the external competitors and initial tests have shown the same impressive results”.
The new platform uses AI and machine learning to help advertisers to analyse their competitors’ affiliate programmes, to understand more about the publishers and to find their best affiliates to recruit. This will provide a much simplified and far more intuitive platform enabling quick searches to add into your recruitment process.
The new technology launch has been complemented by an upgraded UI in the platform and is reflected in the new branding and website launched just recently.