Trial conversion
~8% -> ~12%
Conservative improvement after automated onboarding replaced manual welcome emails.
TIER9AI
Anonymized proof snapshot
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Conservative rollout evidence for field-service workflows
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Evidence-safe proof artifact
SaaS Trial Onboarding Automation
Anonymized proof snapshot for an automated trial onboarding sequence at a small SaaS company.
12-person SaaS company•SaaS
Workflow scope
Trial signup -> welcome sequence -> usage nudges -> support escalation for inactive trials
Baseline
- Trial-to-paid conversion sat at ~8%, with most drop-off happening in the first 48 hours.
- No automated welcome sequence — new signups waited minutes or hours for access emails.
- Support couldn't tell which trial users were stuck vs. which had simply lost interest.
What was built
- Automated welcome sequence triggered within 60 seconds of signup with access credentials and quick-start steps.
- Usage-based nudge emails at 24h and 48h, personalized to what the user had (or hadn't) explored.
- Support escalation flag for trials showing no activity by day 3, routed to a lightweight check-in queue.
Observed outcome pattern
- Trial-to-paid conversion improved from ~8% to ~12% over the first measurement window.
- Onboarding-related CS time dropped by roughly 6 hours per week.
- Support tickets from confused trial users fell noticeably as welcome sequencing closed the gap.
Conservative checkpoint metrics
CS time saved
~6 hrs/week
Onboarding questions answered by the sequence instead of individual replies.
Build timeline
10 days
From kickoff to live automated sequence across signup, nudge, and escalation flows.
Evidence safeguards
No public client name or screenshots are shown.
Metrics are rounded, conservative, and directional.
This artifact is designed to show the rollout shape, not make hard guarantees.
This is an anonymized proof snapshot built from conservative rollout patterns. Replace it with a client-approved named case study as soon as you have permission.