Advertisement Advertisement

A Social Listening Case Study on Luxury Watches

overview image

Challenge

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. 

Solution

41,794 posts were harvested using the brand names. This was reduced to 12,520 after round 1 of noise elimination, to 4,423 after removing commercial (i.e. not consumer) posts, and finally to 4,134 after round 2 of noise elimination.

In order to discover conversation drivers we created a hierarchical taxonomy of topics for luxury watches customised to the reporting needs of the client. The taxonomy was enhanced by topics which emerged through what people were posting online. This process in addition to showing sentiment by topic and sub-topic within brand, also enabled us to provide our client with Brand Share of Voice and Net Sentiment Score© benchmarking (NSS = a DigitalMR metric which takes into account the no. of positive and negative posts) for all topics and subtopics. 

Further to that, through our unique process we were able to identify ~513,000 posts from people contemplating buying a watch. This enabled the client to directly come in contact with social media users who could become customers. We also found influencers with a large following discussing watch brands in thousands of online posts, not only on social media, but also on blogs and specialized forums, so that the client could reach out to them and explore co-operation.

Result

This helped the client gain a better understanding of the social landscape around their product category and discover what consumers are saying with high sentiment accuracy. It also gave them the opportunity to engage with consumers behind posts expressing purchase intent, as well as category influencers which could potentially collaborate with the brand.

To see charts and a client testimonial please refer to the attached infographic.

Supporting Documents

This content was provided by DigitalMR. Visit their website at http://www.digital-mr.com


Company profile

DigitalMR

London, United Kingdom
Telephone: +44-203-176-6800
Email: info@digital-mr.com
Website: http://www.digital-mr.com
About DigitalMR: DigitalMR specialises in the use of Artificial Intelligence for customer insights and the integration of Social, Survey, and Sales data.
http://www.digital-mr.com

other content shared by DigitalMR

DigitalMR announces CTO appointment

DigitalMR

DigitalMR - a technology company with focus and expertise in consumer insights has appointed Steve Alexander as its Chief Technology Officer.
Automated Text and Image Analysis APIs by DigitalMR

DigitalMR

London-based DigitalMR makes available APIs* for automated sentiment, emotions, topics, noise elimination (text) analysis, as well as image brand presence, text extraction and theme analysis.