To profile High Net Worth Individuals (HNWI) and how they engaged with 8 specific topics in social investing across 6 territories (US, UK, Germany, Switzerland, Hong Kong, Singapore).
To filter for HNWIs we took the initial client list of criteria and added more handles for markets that were underrepresented (i.e. HK/SG/CH). We prioritised the more niche publications (Luxury Life Magazine) and then broadened the search to the more general ones (i.e. NYTimes). We then applied our own persona filter “Aristocrat” and saw how they engaged with the following topics: Artificial Intelligence, Diversity, Education Equality, Health and Technology, Health Equality, Philanthropy, Societal Economic Development and Sustainability.
We were able to find what HNWIs engaged with in those topics such as hashtags, websites, keywords, emojis, media type, content and influencers and how they trended across a 5-year period.
Helping brands understand their social customers better and target new customers more cost effectively.
TopicDNA is our Social Intelligence SaaS Platform. We have created a unique one-stop shop solution for brands which helps them better understand, engage and target their customers across social media. We can help with all aspects of social strategy, planning and activation.
We’ve created a groundbreaking classification system for social media which enables us to profile every individual’s interests and behaviours across all major social networks in real-time to an unprecedented level providing accurate and actionable customer insights.
As a result, we help brands, and their media agencies, secure a higher ROI across earned, owned and paid social. We are on average over 50% more cost efficient on all advertisers’ key performance metrics across all social networks.
To help Liverpool FC better understand football fans in Indonesia in order to design a truly fan-centric fan engagement strategy across owned, earned, paid and partner channels. Add Value to Fans The Club wants to be authentic and relevant to local fans, and wanted to use data to help the Partnerships, Retail, and Marketing teams add value to local fans.
Create a bespoke data set – using Twitter & Instagram – to define the behavioural and demographic profile of Indonesian fans of the Club online, compared to general football fans in that market. Unique Fan Profile we defined the Club’s fan profile, including key interest areas and under-indexing interests, brand affinities, and their local vs. global outlook.
Our data enabled the Club’s Strategy, Partnerships and Consumer Insights teams to identify data- driven wins & tactics for local fan engagement, CRM, media planning, partnerships and retail, building on the research insights and the designed fan profile, including these fans’ values, interests and content preferences.
easyJet wanted us to find people who are most likely to travel outside the UK, and where in the world they were most likely to travel to.
Individual social profiling on Twitter and Instagram and intent-based conversation analysis technology.
We were able to help easyJet determine which Twitter and Instagram users were travelling for work, where they travelled, what pictures they took and what emojis and hashtags they used frequently so easyJet can communicate with them more effectively.
Personalyze unique classification system gave us an precedented level of audience insights”
Oliver Kunze, Head of Commercial Customer Insight, M&C Saatchi
To help McKinsey & Company recruit more efficiently across Eastern Europe, micro- targeting 25 – 35 year old females that satisfy a specific set of social interest criteria.
Individual social profiling on Twitter and LinkedIn across Eastern Europe.
Out of a list of 117 high-quality candidates, 105 were invited for an interview (90%). Our client was ecstatic as they were not expecting us to get anywhere near that number of high calibre interviewees.
Increase awareness of forthcoming The 1975 album and tour on Facebook and Instagram.
Audience profiling and paid social optimisation on Facebook and Instagram.
We were on average 50% more cost effective across all key advertising performance metrics (e.g. CPM/CPC/CPV). This performance was achieved even though Universal Music was benchmarking Personalyze’s optimized targeting recommendations against their own CRM database of fans!