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listening247

listening247 owns proprietary AI technology that adds accurate, actionable and timely intelligence to unstructured data from any source and language.

Data & Analytics

International

Software & Technology

Featured in "Buyer's Guides"

Features and attributes

Asset management

Asynchronous platform

Behavioral capabilities

Brand management

Brand monitoring

Chatbots for recruitment

Collaboration & workflow

Custom tracking surveys

Emotion & sentiment in video

Gen AI summaries & insights

Ideation and co-creation tools

Image identification

Intercept sampling

Marketplace / Programmatic

Mobile platform

Mobile UX and accessibility

Natural language queries

Omnibus brand tracking

Panel / Panel management

Proprietary data

Proprietary incentive programs

Qual & quant integration

Qual-at-scale platform

Qualitative recruitment

Real-time tracking & alerts

Research communities

Respondent experience tools

Sample blend & targeting by AI

Social networks

Synchronous platform

Syndicated brand panels

Synthetic sampling

Target feasibility estimates

Templated & automated testing

Transcription quality

Visual analysis tools

What is listening247?

listening247 is a technology company in the data analytics, market research, and customer experience management space.


Its proprietary AI capabilities add highly accurate, actionable, and timely intelligence to unstructured data from any source and language, to produce invaluable insights and solve business problems for clients globally.


Through innovative solutions like Social Listening & Analytics, engaging247, and communities247, the company helps brands enhance their digital presence, connect with their target audiences, and drive meaningful growth. With the recent launch of DataVinci, listening247 continues to push the boundaries of AI driven data intelligence, delivering solutions that automate content creation and deliver, actionable insights, ensuring brands are always one step ahead in an increasingly data-driven world.

Research Software and Platform Details

Solution deployment

Cloud, SaaS, Web-Based

Managed service

Pricing details

Monthly subscription

Annual subscription

Free trial

Support

Email / Help desk

Knowledge base

Phone

Training

Documentation

Live online

Videos

Services and Expertise

Client Projects and Success Stories

3 results

The Amazing Paradox of Negative PR for Coca-Cola

The day of the Superbowl in the US, (February 2nd 2014 ), Coca-Cola aired an ad where people of various ethnicities were singing ‘America the Beautiful’ in their own language. Immidiately after the airing of the ad all hell broke loose on Twitter and other social media platforms. This continued for the following days and weeks.

A simple piece of pre-advertising research could have told them that some people in the US are so patriotic, or perhaps we can even use the word racist, that they felt offended by the fact that people of other ethnicities were singing ‘America the Beautiful’ in their own language as opposed to English.

Read the case study

A Multilingual Social Listening Approach for Brands

In 2013, a global blue chip organisation commissioned DigitalMR to harvest and analyse social media data related to one of their Personal Care product categories. The objective was to explore the web landscape around the category in six different countries and languages around the world, in order to inform their future marketing campaigns.

What are people saying about the product category? How do they feel about using the product? Where are the conversations taking place? 

Read the case study

A Social Listening Case Study on Luxury Watches

In 2014, a renowned maker of luxury wrist watches commissioned DigitalMR to harvest and analyse social media data related to their product category, in order to understand what people were saying about their brand and discover some actionable business insights.

A brand in an exclusive product category such as luxury watches is not expected to have a huge volume of posts or a large share of negatives, so it can mainly benefit from analysis that is granular enough to extract all the precious insights that a relatively small dataset can offer. 

Read the case study

INFO

Liberty House

222 Regent Street

London,
United Kingdom

W1B 5TR

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ESOMAR (International)

QRCA (United States)

MRS (United Kingdom)

MRSI (India)

MRSM (Malaysia)

MRSS (Singapore)

MRS

Michalis Michael

Chief Executive Officer