# Reduce churn, catch it 6 to 8 weeks early · ClosedLoop AI > Detect renewal risk weeks before the renewal call. ClosedLoop AI surfaces frustration patterns across calls, tickets, and chats, ranked by ARR at stake. --- [Skip to main content](#main-content)Outcome # Catch dissatisfaction weeks before renewal. **Most renewal surprises showed up in conversations 6 to 8 weeks earlier.**The warning was there; nobody had read everything. ClosedLoop AI reads every channel and surfaces at-risk accounts with the quotes, the dollars, and the trend, while there is still time to act. [Book a demo](https://closedloop.sh/demo)Renewal watch Per account First frustration Renewal call The drift shows in calls and tickets first. Why at risk ARR at stake Fills per account from your own conversations: the triggering quotes, dated and channel-attributed. The problem ## Where churn actually starts. Four patterns we hear from every team grappling with this outcome. P-01 You see frustration too late The renewal call is on the calendar. You scroll Gong from January. You missed three frustration spikes in February and one Slack escalation in March. P-02 CS and product narratives drift CS thinks it's an enablement gap. Product thinks the dashboard is fine. The renewal probably hangs on one specific complaint neither team is tracking. P-03 No "is this real?" answer A customer complains about CSV export on a call. Is it one customer or eighteen? The answer takes a week and someone's afternoon. P-04 Save attempts are reactive You discount to keep the account. You give roadmap promises you didn't need to give. The negotiation could have happened before the surprise. How it works ## From scattered conversations to a Monday-morning answer. Same source data as the rest of the platform. A different surface for this outcome. - 01 #### Listen everywhere Connect Gong, Zendesk, Intercom, Slack, HubSpot, Salesforce. Every customer-facing conversation is read continuously. - 02 #### Score every account Per-account health from sentiment trends, escalation patterns, frustration spikes, competitor mentions, and feature-request density. Updates daily. - 03 #### Surface the why Each at-risk account comes with the specific quotes that triggered the score, dated and channel-attributed. You see what the customer actually said. - 04 #### Brief the team in time CS gets a Monday-morning save list. The pre-call brief auto-attaches to renewal tickets in Linear. The conversation is informed. Features for this outcome ## The three you'll live in. You don't need every feature on day one. These three carry the outcome. [Monday Weekly brief This week's renewal-risk themes, ranked by the ARR at stake. Read more](https://closedloop.sh/features/weekly-brief)[Before the call Pre-call brief Auto-attached to every renewal call, landmines surfaced. Read more](https://closedloop.sh/features/pre-call-brief)[Any time Ask anything Drill into any at-risk account with a single typed question. Read more](https://closedloop.sh/features/ask-anything)Proof ## Proof gets measured, never manufactured. Two revisions are open for this page. Each lands here only when it clears the standard below: real, attributable, approved. An empty slot beats a manufactured one. Rev A · Saved-ARR metric In verification An attributed figure for ARR saved from at-risk accounts caught early, from a named deployment. Real and recomputable, or nothing. Accepts when Attributed to a named deployment and independently recomputable. Rev B · Customer quote Awaiting approval A verbatim quote from a team that caught a renewal early, with a real name, title, and company. Approved, or nothing. Accepts when Named person, title, company, and written consent on file. ## Read the warning before the renewal. [Book a demo](https://closedloop.sh/demo) --- ## More Information - Website: https://closedloop.sh - Documentation: /docs - Pricing: https://closedloop.sh/pricing - Contact: https://closedloop.sh/contact