Support tickets get triaged, resolved, and closed by a support team optimizing for response time, and marketing rarely looks at them at all, treating them as someone else's department completely. Buried in that pile of routine tickets is some of the most honest, specific, unprompted product feedback a company will ever receive, phrased in the customer's own frustrated or confused words, completely uncontaminated by the leading questions of a survey. AI now makes it genuinely feasible to mine that entire archive for patterns at scale, surfacing themes no single support agent would ever notice ticket by ticket, an analysis Litmus Universe now runs for clients as a standard part of positioning and messaging work.
An ignored archive of honest signal
Support tickets contain unprompted, unfiltered customer language that no survey or interview will ever replicate, precisely because nobody was trying to be articulate when they wrote it.
Why marketing never looks here
Support tickets live in a different tool, owned by a different team, measured by a different metric, and marketing has historically had no easy way to extract signal from thousands of them at once.
What AI unlocks
Pattern analysis across thousands of tickets at once can surface recurring language, recurring frustrations, and recurring points of confusion that would take a human weeks to find manually and would still likely be missed.
Make it a standing input, not a one-time dig
Read a hundred support tickets before you write your next positioning doc, and see how much of it changes. Litmus Universe now runs that analysis for clients as standard groundwork, not an afterthought.
Want this kind of thinking on your brand?
We build brand strategy, AI content and performance for the AI era.
START A PROJECT →