
Support & Help Desk
Zendesk, Intercom, Gorgias Unlock the Friction Map Thousands of tickets containing the exact language customers use to describe product friction, unmet expectations, and the moments they decided to leave "We analyzed 3,247 support tickets for a furniture brand and discovered 'scratches' appeared in 11.4% of conversations. Fixing this led to a 42% reduction in CAC."
Sales & CS Transcrpts
Gong, Chorus, HubSpot The Lost Deals Narrative The objections that kill deals. The language buyers use when they're actually deciding. Competitive intel your reps hear every day but never get synthesized into strategy. "Competitive triggers identified 45 days before churn. Our model predicted churn with 80-90% certainty, allowing for proactive saves."
Social & Reviews
Reddit, Amazon, Discord, Facebook Community Sentiment Synthesis Real-time, unfiltered reactions. We extract themes from Reddit and Discord that traditional surveys miss because they lack context and emotional depth. "Identified 'Urban Explorer' market niche for a legacy brand. Repositioning shifted revenue trend from -11% to +10% YOY."
"The highest-marketing ROI insights don't come from dashboards. They come from the unstructured conversations your customers are already having with your brand — every day
"Our CAC keeps climbing and we don't know why."
We analyze your ad comments, customer reviews, and sales transcripts to identify the exact language, hooks, and objections that correlate with high-intent buyers — eliminating the "learning phase" budget burn costing you 30–50% of every campaign. Typical result: 25–45% CAC reduction within 60 days.
"We're losing customers and NPS isn't catching it in time."
We detect the "Indifference Threshold" — the language shift in support data that precedes churn by 45–90 days — and deliver predictive alerts before traditional metrics flag a problem. Typical result: 15–25% churn reduction within 90 days.
"We're building roadmap on assumptions, not evidence."
We mine your Dark Data and competitor intelligence to surface unmet needs, hidden use cases, and feature gaps — producing a data-validated roadmap before writing a single line of code.
"Our reviews are declining and we don't know the root cause."
We correlate review sentiment with support patterns, SKUs, acquisition channels, and operational timelines to identify precise root causes — often before they reach a scale that damages your aggregate rating.
"Our channel teams work in silos — we can't see the full picture."
We synthesize unstructured data across all touchpoints to reveal how messaging and experience land differently by channel — surfacing patterns no single-platform tool could find.
"We're planning a major launch and want it to actually land."
Pre-launch community and social analysis reveals which topics and narratives generate authentic engagement, informing strategy with behavioral data rather than in
Brands are making their most expensive decisions using roughly 20% of the behavioral intelligence available to them. The other 80% has been accumulating, unread, in the tools they already own.