Mobiquity Technologies Launches Mobi-AI Engine For Digital Advertising
It enables businesses to deliver personalised user experiences, optimise campaigns in real-time, and provide contextually relevant ads through dynamic content that can be customised based on user behaviour and preferences. Mobiquity Technologies, a provider of next-generation data intelligence and advertising technologies, has launched its Mobi-AI engine, an artificial intelligence-enabled optimisation engine that can modernise how […]
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It enables businesses to deliver personalised user experiences, optimise campaigns in real-time, and provide contextually relevant ads through dynamic content that can be customised based on user behaviour and preferences.
Mobiquity Technologies, a provider of next-generation data intelligence and advertising technologies, has launched its Mobi-AI engine, an artificial intelligence-enabled optimisation engine that can modernise how programmatic digital advertising works.
Mobi-AI is integrated with the company’s Advangelists’ Ad Tech Operating System (ATOS) and leverages machine learning and AI to analyse user behavioural patterns, first-party data, CRM data, and contextual information, and utilises content-based n-gram natural language processing.
This enables businesses to deliver personalised user experiences, optimise campaigns in real-time, and provide contextually relevant ads through dynamic content that can be customised based on user behaviour and preferences.
“Mobi-AI will help businesses unlock the full potential of their digital advertising campaigns,” said Dean Julia, CEO of Mobiquity Technologies. He also added that ”Mobi-AI can deliver a host of benefits to businesses, including improved Return on Ad Spend (ROAS), inventory optimisation, targeted campaigns, fraud mitigation, and contextually relevant ads. The platform can analyse user data and preferences to deliver customised content that is tailored to the individual, leading to higher conversion rates.”
In addition to these benefits, Mobi-AI promises to help mitigate the risk of ad fraud by detecting fraudulent activity in real-time, thereby helping businesses minimise losses and protect their advertising budgets. By leveraging the power of AI and machine learning, businesses can optimise their digital advertising efforts and achieve their advertising goals more efficiently and effectively than ever before.
