DigitalMR

Company Description

DigitalMR is a technology company with proprietary solutions for market research, that specialises in the use of Artificial Intelligence for customer insights and the integration of Social, Survey, and Sales data. Following years of R&D, partly financed by government grants, DigitalMR’s main areas of research include text and image analytics, particularly sentiment and semantic (topics analysis), emotions analysis, and image theme and logo detection. DigitalMR offers a holistic solution that benefits several departments within an organization, including that of Public Relations, Customer Service, Business Development, and Sales among others. DigitalMR has presence in numerous countries and works with blue-chip multinationals such as P&G, SABMiller, DIAGEO, Radley, Vodafone, YPO, Saxo Bank, Nielsen, TNS, and many more.

Affiliations:
  • QRCA (United States)
  • MRS (United Kingdom)
  • ESOMAR (International)
  • MRSI (India)
  • MRSM (Malaysia)
  • MRSNZ (New Zealand)
  • MRSS (Singapore)
  • MRS
Company type:
  • Full Service Market Research
  • International Market Research Services
  • Software / Technology / Platform Provider
Telephone:
+44-203-176-6800
Address:
V304 Vox Studios
1-45 Durham str.
London, SE11 5JH
United Kingdom
Countries where research is conducted:
United Kingdom
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Products (1)

ProductImage listening247

Most people call it Social Media Listening or Social Media Monitoring, though the most accurate term to describe it is Active Web Listening. listening247 is a platform designed for organisations to manage their online reputation, not only on social media, but various online locations. We can help you monitor what is being said about your brand, as well as the competition, and identify who your influencers are. Active Web Listening is best described through the following process: Listen – Analyse – Understand– Engage. We listen on the web by harvesting relevant posts for a brand or a topic on an on-going basis. We then analyse the topics and the sentiment for a brand and its competitors and extract actionable business insights for our clients. Our unique approach delivers sentiment accuracy that is over 80% in any language. We use Net Sentiment Score, a trade-marked score which reflects what the overall sentiment is for a brand or a topic.

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CASE STUDIES (3)

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