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

Social Listening & Analytics with the highest possible sentiment (>75%) and topics (>80%) accuracy in any language. Using Artificial Intelligence to eliminate the “noise” (i.e. irrelevant posts) and annotate large volumes of unstructured data, listening247 makes it possible to know everything anyone posts online. The data analysed can be on any topic or product category, from any country around the world, on all social media and other online sources such as blogs, forums, news, reviews. listening247 can be used to evaluate the effectiveness of a digital campaign, track online performance in comparison to competitors and discover conversation drivers, detect specific emotions in addition to sentiment, gain category insights – understand the needs and opinions of consumers and discover trends before anyone else, analyse Facebook fan page or Instagram content or any other online source and compare to competitors’ pages, identify triggers and barriers for purchase in any product category, understand important consumer moments: occasions, needs and motivators, discover purchase leads ranked by probability to buy, and even analyse images to really get what people communicate.

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CASE STUDIES (3)

Market research resources (1)

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