Noetica To Reveal How Predictive Dialling with 0% Dropped Calls is now Possible

Noetica – A British company, developing software products for the global contact centre market, will present ‘Responsible Outbound: Predictive Dialling with 0% Dropped Calls’ during a seminar at the Call & Contact Centre Expo, which takes place on 21st & 22nd March 2018, at Excel London.

As Ofcom ‘clarifies’ its position regarding dialler-dropped calls by removing the 3% ‘safe harbour’, organisations using predictive diallers for a range of perfectly legitimate purposes live in constant fear of breaking the law. This has stimulated Noetica to create a new way of delivering the benefits of full predictive dialling, without abandoning any calls.

On Wednesday 21st March at 14.35, in Seminar Theatre 8, Founder and CEO of Noetica, Danny Singer, will explain how 0% dropped calls is now possible. He explains: “SNoDrop™ is a proven technology that is being used in contact centres in the UK. For instance, ResQ utilise the technology as an integral part of their Responsible Telemarketing approach to outbound. It is enabling contact centres to continue with their predictive outbound dialling activities with confidence, safe in the knowledge that they adhere to Ofcom regulation.”

SNoDrop™ is part of Noetica’s SmartBound™ range of technologies for managing efficient yet considerate outbound campaigns, which also includes its patented LPD™ (Live Person Detection) and advanced predictive dialler products.

SNoDrop™ works by combining call blending and predictive dialling in a novel way within the SmartBound™ framework.

In this short video, Danny Singer gives a preview of his presentation and introduces SNoDrop™.

Noetica will also be on Stand 2270, to demonstrate its full range of inbound and outbound solutions including SmartBound™ , the Synthesys™ productivity suite (visual call scripting, unified agent desktop, campaign management, omni-channel and tactical CRM) and the Noetica Voice Platform NVP™ (complete with ACD, IVR, voice recording and quality monitoring).