Social media effectiveness (sentiment track)
Client
A leading CPG player
Business objective
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The client wanted to create new categories in the fashion styling space, by understanding customer preferences in adjacent categories.
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Our client leveraged social media data from multiple sources. However, each source had a different format. Also, the client had to handle significant unstructured data comprising of relevant customer reviews and feedback.
Benefits & outcomes of our engagement
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Identified new product concepts in the personal grooming space that had a high sentiment score (tweets, retweets, posts, etc.)
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Assessed the intent to purchase, perception, imagery and consideration towards a hypothetical set of new product concepts
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Built an ongoing tracker that consolidates social media data-based user sentiments with online panel- based brand imagery
SGA approach
Step1 - SGA’s web scraping module
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SGA’s social media analysts used python-based web-scraping algorithms to extract unstructured data such as product reviews, comments, engagement and posts on social media forums
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Arrived at key social media KPIS using topic analysis, keyword search, taxonomy, word cloud, network analysis, word frequency and association
Step 2 - Online panel setup & recruitment
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SGA’s research experts set up an online community
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Identified target segment respondents across relevant markets (Singapore, Thailand, Indonesia)
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Conducted opinion poll and qualitative surveys for concept testing
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Assigned activities to online panel participants including uploading style statements, selfies, favorite variant, etc.
Step 3 - BI visualization
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Integrated data from online panel and social media to report key metrics like brand sentiment, social media reputation score, intent To purchase, brand consideration, etc.
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Published visualization dashboard on Tableau server with per hour refresh that gave business stakeholders a holistic overview of their customer’s voice
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