Catch churn
before it happens.
Every ticket your customers send is scanned for frustration, competitor mentions, and pricing concerns. When a signal fires, your CSM gets an alert with the account ARR, renewal date, and a play to run.
How churn detection works.
Every ticket scanned for risk language
“Looking at alternatives.” “This used to be easier.” “Considering downgrade.” Helply catches the phrasings that correlate with churn in your historical data.
Cross-referenced with renewal proximity
A frustration ticket 6 months from renewal is noted. The same ticket 18 days from renewal is a fire. Helply weights signals by recency and renewal date.
CSM gets a brief, automatically
Account name, ARR, renewal date, the verbatim quote from the customer, and a recommended play. The CSM books a save call without writing the brief themselves.
Save rate tracked, plays scored
Which plays save accounts? Which CSMs win the most renewals? Which signal types matter most? The data answers questions your retention team has been guessing on.
Catch churn before the renewal call.
See churn signalsNo more renewal-call surprises.
No waiting for QBRs. The moment a customer writes “considering alternatives,” your CSM knows.
18 days out is a fire. 6 months out is a note. Helply triages so your team works the right list, in the right order.
Save call, performance review, exec sponsor outreach, or pricing concession. The CSM picks; they don’t draft the strategy.
When you save an account, the ticket that triggered the signal is on the renewal record. Patterns become learnable.
Helply learns which language predicted churn for your customers specifically. Generic sentiment models don’t catch B2B-specific frustration.
Know which save plays work. Stop running the ones that don’t. Compounds quarter over quarter.
What our customers are saying.
See customer stories
"Support used to be a cost line. Helply turned it into our most reliable signal, every onboarding question routes back to product the same week."
"We support thousands of users a month and quality is everything. Helply now handles around 30% of our total volume automatically."
"We’re a lean team, so doing more with less is non-negotiable for us. Helply consistently resolves 30–35% of conversations for us."
"Keeping our docs accurate used to be a constant struggle, with no way to measure impact. Helply changed all of that overnight."
"Airgigs is a two-sided marketplace, so support has to be fast and accurate. Helply has taken a significant amount of repetitive questions off our team’s plate..."
"Helply has fundamentally changed how we communicate with our authors. We’ve handled over 1,400 conversations with a 91%+ resolution rate, and the answers..."
"LingQ has a powerful product, but for new users it can be overwhelming. Helply has been a game changer for onboarding."
"We’d invested heavily in building a strong knowledge base, but we were still seeing a steady stream of repetitive questions coming through support."
"Getting started with Helply was effortless thanks to the hands-on, one-to-one onboarding. The setup helped us uncover knowledge gaps in our existing support content..."
"For us, Helply isn’t about replacing human support. It’s about being available when our team isn’t. We handle around a thousand tickets a month, and Helply gives our..."