Emerging

Revenue Process Mining

AspectTraditional RevOps AnalysisRevenue Process Mining
DataSampled reportsEvent-level logs (CRM, product, billing)
OutputStatic funnel viewsDiscovered actual paths & bottlenecks
RefreshMonthly/quarterlyNear real-time
ActionabilityManual interpretationAuto-generated fixes and tests

💡TL;DR

Revenue process mining turns event logs into a live map of how deals really flow. It highlights rework, skipped steps, and stage loops, then suggests fixes and A/B tests. For SMBs, it replaces guesswork dashboards with evidence on where automation will pay off first.

Definition

Applying process mining to revenue data to discover the real buyer journey, detect bottlenecks, and recommend automations that improve conversion and cycle time.

🏢What This Means for SMB Teams

When resources are limited, knowing the exact bottleneck (e.g., legal review loop) directs effort to the highest ROI fix.

📋Practical Example

イベントログをマイニングした結果、デモ後のセキュリティ質問が平均9日停滞していると判明。セキュリティFAQパックを自動送付し、未開封48hでリマインドを送る自動化を追加。サイクルが11.8日→8.6日に短縮し、成約率+3.2pt。

🔧Implementation Steps

  1. 1

    Export event-level logs from CRM/product/billing; standardize timestamps and IDs.

  2. 2

    Run process discovery to map actual paths vs. designed funnel.

  3. 3

    Identify top 3 bottlenecks by frequency × impact.

  4. 4

    Deploy automations/tests targeting those bottlenecks; re-mine monthly.

Frequently Asked Questions

Do we need data scientists?

No. Modern tools auto-discover flows; RevOps can operate with templates and light SQL.

How much data volume is required?

A few thousand events per month is sufficient for clear bottlenecks in SMB funnels.

How Optifai Uses This

Optifai ingests event logs, surfaces bottlenecks, and recommends automations to fix them.

Revenue Analytics

Experience Revenue Action in Practice

Now that you know the terms, see them in action. Experience signal detection, automated actions, and ROI proof with Optifai.

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