With the explosion in use of social media during the last decade, it is essential for every brand and organisation to invest in Digital Market Research and data analytics in order to effectively manage their performance and reputation.
Social media research is not only used for marketing and communications purposes, but is also often used for customer care, operational improvements, R&D, competitive intelligence, internal and external collaboration, as well as for acquiring alternative data for funds, retail banking, insurance, asset management and online trading.
DigitalMR brings insights to their clients by integrating social listening data with multiple structured and unstructured data sources such as surveys, focus groups transcripts, retail purchases, call center audio files, chat messages and email correspondences, thus enabling companies to be successful by being data-driven.
DigitalMR uses two proprietary cutting edge SaaS Solutions: Social Intelligence (Social Media Listening) and Private Online Communities (MROCs).
Social Intelligence (formerly reffered to as Social Media Listening, Social Media Monitoring or Active Web Listening) has one main purpose: to help you understand how your brand or organisation is perceived online, and to provide not only accurate insights but also actionable business insights.
We harvest public online data such as social media posts and using machine learning - the most successful part of artificial intelligence - we eliminate the “noise” and analyse the data for topics (semantic analytics), sentiment, and emotions, with high accuracy.
Our unique approach delivers results with sentiment accuracy and semantic accuracy over 80% in any language. We also use the Net Sentiment Score (NSS), a DigitalMR trademarked metric which reflects the overall sentiment for a brand or a topic, and can be compared to metrics from traditional research, such as the Net Promoter Score (NPS).
Private online communities - or market research online communities - are an integral element of next generation market research, and through their various functions can be used for the benefit of multiple departments within an organisation. They can be used for engagement, co-creation (content generation, new product development), insights, and customer advocacy amplification or to build a brand ambassador community.
A private online community can have 10s, 100s, or 1000s of members, it can be branded or unbranded, and can even be used to engage consumers or influencers identified through social intelligence.
DigitalMR’s online communities (communities247) come with a range of native market research tools as well as the ability to integrate 3rd party tools seamlessly with a couple of keystrokes.
listening247 is not just a social media listening and analytics tool; since it is text source agnostic it can ingest and annotate text from any source and in any language. Some text sources for which our clients use listening247 too automatically annotate for brands, sentiment/emotions, topics etc. are:
Beyond social intelligence and text analytics, using our proprietary deep learning models we can caption images, based on their pixels as input. In other words AI turns images to text in order for our text analytics capability to annotate for brand, sentiment and topics.
Data fusion (or data integration) of unstructured data is much easier than integrating structured data, especially when using a tool like listening247, which was developed for this purpose - to be an AI based platform that ingests, cleans, and annotates data, making insight discovery like a walk in the park.
Unstructured data that can be integrated includes:
Data can be integrated from various sources of solicited opinion, unsolicited opinion and behaviour.