Can small ecommerce brands afford AI-powered social listening and insights?
Answered independently in 2 episodes, by 2 different people. Every line below is verbatim from the transcript, timestamped to the moment it was said.
What the archive says
01Audit your unanswered comments. McGrory shows brands obvious missed revenue like "where can I buy this?" and "can I get this in blue?" sitting unreplied on their own social channels. source →
02Audit your own comment sections for unanswered, obvious buying questions like 'where can I buy this?' or 'can I get this in blue?' — Matthew says most brands have a 'comment mountain' they aren't listening to. source →
03Aggregated cross-platform social data is expensive and locked up post-Cambridge Analytica, so define a specific use case first; broad listening across Meta, X and TikTok requires paid APIs or big listening platforms. source →
What 2 people actually said
There's lots of businesses now stepping into that fray. You can get alongside the insights data, you can get a demographic overlay. We were able to tell a sports governing body that we said 20% of your audience, of your followers is women, but they provide 60% of the positive sentiment on your channels.
This is 14 years ago. But I want to just clearly for our audience though, talk about specifically with the advancements and how you're using AI of how this isn't just a sentiment type thing. How it is actionable and really like comes to life for people and brands.


