Trusted by fast-growing SaaS teams worldwide
* All figures are illustrative and based on simulated demo data. For demo purposes only.
Up and running in three steps
No months-long implementation. Your first scored trial queue is live in under a day.
Connect your product data
Drop in our lightweight SDK or point to your existing analytics pipeline. yez/no starts ingesting events within minutes — no data warehouse required.
Works with Segment, Amplitude, Mixpanel, or raw webhooks.
Scores and queues are generated automatically
Our scoring engine weighs activation breadth, engagement depth, recency, and team size to rank every trial account in real time. Risky accounts are flagged before they churn.
Configurable weights per scoring dimension — no ML expertise needed.
Your team acts — or automation does
Sales and CS see a prioritised work queue. Playbooks fire Slack alerts, CRM tasks, and in-app messages automatically. You focus on high-value conversations, not spreadsheets.
Native integrations: HubSpot, Salesforce, Intercom, Slack, email.
Everything your team needs to convert trials
From the first session to the signed contract — yez/no covers the full trial lifecycle in one unified platform.
Always work the right accounts
Real-time usage signals are continuously scored and ranked. Your team sees a live queue — highest-intent trials first — so every outreach lands at the perfect moment.
Spot stuck trials before they leave
Automatic detection of friction points: missing first integration, 48-hour login gap, skipped key workflow. You know which accounts need a nudge before they quietly disappear.
See exactly where trials drop off
Cohort-level funnel with per-step conversion rates pinpoints your weakest onboarding gates. Fix the 10% bottleneck that's costing you 30% of trial revenue.
Signals flow into your existing tools
Native connectors for HubSpot, Salesforce, and Intercom. yez/no writes scored leads, risk flags, and activity timelines directly to the records your team already works in.
Trigger the right action automatically
Define once: "If onboarding score < 40 after day 3, send in-app nudge + create HubSpot task." No code. No manual monitoring. CS and Sales stay one step ahead.
Enterprise-grade isolation from day one
Complete data isolation per workspace. Role-based permissions, audit logs, SSO/SAML support, and a SOC 2-ready architecture — scales from 10 to 10,000 trial accounts without configuration changes.
Built for the way revenue teams actually work
Stop triaging in spreadsheets. Start working with precision.
yez/no's scoring engine aggregates dozens of in-product signals — feature breadth, session frequency, team invitations, integration setup, and more — into a single Conversion Likelihood Score. Your queue updates every 15 minutes. No analyst required.
- Configurable signal weights per industry vertical
- Real-time queue refresh — no stale CSV exports
- Side-by-side comparison of top trials
- Account timeline with every significant event
Define it once. Let it run while your team sleeps.
Build no-code playbooks that trigger on any combination of trial signals. Send an in-app message when a key feature is skipped by day three. Create a HubSpot deal when the score crosses 70. Alert the AE in Slack when a champion invites three colleagues. Every edge case, handled.
- Visual rule builder — no engineering tickets
- Multi-channel actions: in-app, email, Slack, CRM
- Throttle controls to avoid over-messaging
- Execution log with per-account audit trail
Teams that stopped guessing
We used to spend two hours every Monday manually triaging trials in a spreadsheet. yez/no replaced that entirely — the queue is just there, ranked and annotated, every morning.
The onboarding risk score is scarily accurate. We caught three accounts that were about to lapse, jumped in on day four, and converted all three to paid within a week. That's €18k ARR we would have lost.
The CRM sync means our reps don't have to switch tools. Trial scores and risk flags appear as HubSpot deal properties automatically. Adoption went from 40% to 95% in two weeks.
Fictional quotes for demonstration purposes only.