Analytics & insights
Tag every call.
Find every pattern.
Custom tags applied automatically per call — by intent, outcome, dispute type, product mentioned. Searchable, filterable, exportable.
30-minute free trial. No card. No procurement.
How it works
Define.
Auto-tag. Filter.
Drag, wire, deploy. Each step is reversible — every save creates a versioned snapshot.
Define your taxonomy
Per-workflow tags — intent types, dispute categories, competitor mentions, escalation triggers. Mix LLM-judged + rule-based.
Evals passing
4 / 5
Avg score
88.8
+1.2
Calls evaluated
12,840
Auto-tag on call end
PCA pipeline applies tags within 30s of call end. Multi-tag (not mutually exclusive) by default.
Outcome
Booked
Sentiment
+0.71
Duration
2:14
▸ captured · intent: booking
▸ captured · slot: Tue 14:00
Search + export
Filter calls by any tag combination. Bulk export to CSV, push to webhook, build cohorts for retraining workflows.
Calls today
12,840
+8.1%
Pickup rate
94.2%
+1.4%
Avg sentiment
+0.71
+0.08
Talk minutes
48,212
+12.0%
Call volume · last 30 days
Conversation data, queryable
Find what matters.
Fast.
No bolt-ons. No second platform. Every primitive ships with the editor.
Custom tag taxonomy
Per-workflow tags. Sales tags differently than support. Different finns, different schemas.
Multi-tag, not exclusive
A call can be 'billing dispute' + 'tier 1 escalation' + 'competitor mention.' Reality is multi-faceted.
LLM + rule-based mix
Subjective tags (caller frustration) judged by LLM. Objective tags (mentioned 'cancel') matched by rules.
Bulk operations
Find tagged calls in bulk — export CSV, push to webhook, retrain on subset, A/B test against alternates.
Shipped in production
Real teams, real outcomes.
“Conversion rate up from 65% to 82%. Agent workload reduced by 40%. Lead response time under 2 minutes.”
Ayush Pateria
CEO & Cofounder, Snazzy · Snazzy
Trust + ecosystem
Plugs in. Audits clean.
Wires into your existing stack via 100+ connectors. Compliant from day one across the workloads that demand it.
Salesforce
HubSpot
Slack
Notion
Linear
ZendeskDon't see yours? Finn plugs into any system via REST + webhooks.
FAQ
Questions and answers.
What kinds of tags can I define?+
Anything observable in the transcript — intent types, dispute categories, competitor mentions, escalation triggers, product references, sentiment shifts, captured field values.
How accurate is automated tagging?+
LLM-judged tags: 85-92% agreement with human taggers in steady state. Rule-based tags: 100% deterministic. Outliers surfaced for human review.
Can a call have multiple tags?+
Yes — multi-tag by default. A call can be 'billing dispute' + 'tier 1 escalation' + 'recovered' simultaneously.
Are tags retroactive?+
New tags apply forward by default. Retroactive backfill against historical calls available on demand.
Where can tagged calls be exported?+
Bulk CSV download, webhook push on tag application, direct push to your CRM or data warehouse, SQL access on enterprise.
Searchable conversation data
Stop reading
random transcripts.
Conversation tagging makes call data queryable. 'Show me all calls where caller mentioned competitor X.' 'Filter to calls flagged as billing disputes.'