Dear Reader, How are you using AI to find and reach your customers? At BoF Insights, we build real-time customer segmentations for our clients, using AI to map who their customers are and how they overlap based on their actual behaviour. Set up a 30 minute call with our team to discuss what this could look like for your brand. Here is how we do it: |
1. Collect real customer behaviour at-scale: We analyse vast amounts of user-generated text, image and video content across Instagram, TikTok, YouTube, X, Reddit, Pinterest, Weibo and more using proprietary AI models developed by Quilt.AI to synthesise the behaviour of customers who engage with your brand and/or category. 2. Cluster and size segments: From this data, we cluster and size discrete segments, quantifying how distinct they are based on what they post about and who they seek inspiration from. |
Example Customer Clusters built from our proprietary social media analysis: |
3. Build detailed profiles: We go beyond demographics to build a data-driven psychographic profile of each segment, mapping out shopping occasions, preferences, behaviours, influences as well as overlapping traits, thereby empowering our clients to prioritise audiences and connect with them in the most impactful ways. |
To discuss what a custom segmentation analysis could look like for your brand, set up a 30 minute call.
Best regards, Rahul Malik Chief Growth Officer & Head of BoF Insights The Business of Fashion |
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