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Project Information

Project Name: Revenue Leakage Detector

Category: Revenue Operations (RevOps)

Business Function: Sales Operations → Revenue Operations

Project Type: AI-Powered Revenue Monitoring & Risk Detection Automation

Built With: Make.com, HubSpot CRM, Google Sheets, Gmail, Router Logic, Scheduler

Status: ✅ Production-Ready Portfolio Project


Revenue Leakage Detector

An automated Revenue Operations (RevOps) workflow that continuously monitors sales pipelines, detects revenue leakage risks, alerts stakeholders, updates CRM records, and maintains operational logs to improve pipeline health and forecasting accuracy.


💡 Architect's Note

After spending over six years in Enterprise B2B Sales, I realized that many revenue losses don't happen because companies lack leads—they happen because opportunities are forgotten, follow-ups are delayed, deals remain stuck, and no one notices until it's too late.

I built the Revenue Leakage Detector to solve this operational blind spot.

Rather than asking sales managers to manually inspect pipelines every day, this automation continuously monitors CRM activity, identifies predefined revenue risks, automatically routes each case through the correct workflow, notifies the appropriate stakeholders, and creates a structured audit trail.

The objective isn't simply to send reminders—it's to establish a repeatable Revenue Operations process that protects pipeline value, improves accountability, and reduces preventable revenue loss.

This project reflects my transition from Enterprise Sales into Revenue Operations (RevOps), where operational systems become a strategic advantage for revenue teams.


Primary Objective

Automatically detect pipeline risks, reduce revenue leakage, improve sales accountability, accelerate follow-up actions, and create a repeatable revenue monitoring system through workflow automation.


Overview

One of the largest hidden problems inside B2B sales organizations isn't lead generation.

It's pipeline execution.

Sales teams often lose opportunities because:

  • Follow-ups are forgotten
  • Deals remain inactive
  • Opportunities become stale
  • CRM activities aren't updated
  • Managers discover problems only during forecast meetings

Instead of relying on manual CRM reviews, this workflow continuously audits pipeline activity, identifies revenue risks, routes each issue based on predefined business rules, notifies stakeholders, updates CRM records, and logs every action automatically.

The entire monitoring process runs on a scheduled interval, creating an always-on Revenue Operations control layer.


Business Problem

Growing sales organizations face several operational challenges:

  • Deals receive no follow-up for several days.
  • Opportunities become stuck without progress.
  • Sales managers lack real-time visibility into pipeline health.
  • Revenue risks remain hidden until quarter-end.
  • CRM data becomes unreliable.
  • Forecast accuracy decreases.
  • Manual pipeline reviews consume significant management time.

These issues contribute directly to revenue leakage and reduced sales efficiency.


Solution

This automation introduces an automated revenue monitoring layer between CRM activity and sales execution.

Instead of manually reviewing every opportunity, the workflow:

✔ Runs on a scheduled interval

✔ Retrieves active pipeline records

✔ Applies multiple revenue risk rules

✔ Detects inactivity and stalled opportunities

✔ Categorizes revenue leakage scenarios

✔ Routes each scenario through dedicated workflows

✔ Sends automated email alerts

✔ Updates CRM records

✔ Logs every detected event in Google Sheets

The result is a proactive Revenue Operations system that protects pipeline health before revenue is lost.


Workflow Architecture

Scheduler
      │
      ▼
Search CRM Deals
      │
      ▼
Aggregate Pipeline Data
      │
      ▼
Router
 ┌──────────────┬──────────────┬──────────────┐
 │              │              │
 ▼              ▼              ▼
No Follow-Up   Stuck Deal   Inactive Pipeline
 │              │              │
 ▼              ▼              ▼
Generate Alert  Generate Alert Generate Alert
 │              │              │
 ▼              ▼              ▼
Update CRM   Gmail Alert   Google Sheets Log

Workflow Screenshot

Revenue Leakage Detector

Revenue Leakage Detector

Tech Stack

Automation

  • Make.com

CRM

  • HubSpot CRM

Reporting

  • Google Sheets

Communication

  • Gmail

Workflow Logic

  • Scheduler
  • Router
  • Conditional Filters
  • Aggregator
  • Variables

Revenue Operations Layer

This project supports the following RevOps functions:

✅ Sales Operations

  • Pipeline Monitoring
  • Deal Tracking
  • Activity Monitoring

✅ Revenue Operations

  • Revenue Leakage Detection
  • Risk Classification
  • Sales Accountability
  • CRM Hygiene
  • Operational Visibility

Business Logic

Traditional Process

Sales Manager reviews CRM

Finds inactive deals manually

Contacts sales rep

Follow-up happens later

Problems

  • Delayed visibility
  • Human dependency
  • Missed opportunities
  • Forecast inaccuracies

Automated Process

Scheduler

Search Active Deals

Evaluate Business Rules

Identify Revenue Risk

Generate Alert

Update CRM

Log Activity

Notify Team

Benefits

  • Proactive monitoring
  • Faster response
  • Consistent governance
  • Reduced leakage
  • Better forecasting

Automation Steps

Step 1

Scheduler

Runs automatically every defined interval.


Step 2

HubSpot

Searches active opportunities.

Returns:

  • Deal Name
  • Owner
  • Last Activity
  • Deal Stage
  • Close Date

Step 3

Aggregator

Collects deal information.

Prepares dataset for rule evaluation.


Step 4

Router

Evaluates revenue risk conditions.

Examples:

  • No Follow-Up
  • Stuck Opportunity
  • Pipeline Inactivity

Step 5

Business Logic

Each route calculates:

  • Days since last activity
  • Pipeline age
  • Revenue risk category

Step 6

HubSpot

Updates deal properties.

Flags opportunity as At Risk.


Step 7

Gmail

Automatically sends notification emails.


Step 8

Google Sheets

Creates audit logs for reporting and historical analysis.


Business Rules

Examples include:

IF Last Activity > 7 Days

↓

Revenue Risk

↓

Notify Sales Owner

↓

Update CRM

↓

Log Event

Additional rules can include:

  • Deal stalled in proposal stage
  • No meeting booked
  • Missing decision maker
  • Close date expired

Screenshots

Revenue Leakage Detector 3 Revenue Leakage Detector 4 Revenue Leakage Detector 5 Revenue Leakage Detector 6 Revenue Leakage Detector 7 Revenue Leakage Detector 8 Revenue Leakage Detector 1 Revenue Leakage Detector 2

Challenges Solved

Challenge 1

Hidden revenue leakage

Solution

Automated pipeline monitoring


Challenge 2

Manual CRM inspection

Solution

Scheduled workflow automation


Challenge 3

Delayed follow-ups

Solution

Instant notifications


Challenge 4

Poor pipeline visibility

Solution

Centralized reporting and audit logs


Business Impact

Estimated Benefits

✔ Earlier identification of at-risk opportunities

✔ Improved pipeline visibility for managers

✔ Faster sales follow-up

✔ Better CRM hygiene

✔ Reduced manual pipeline reviews

✔ Higher forecasting accuracy

✔ Increased sales accountability

✔ Standardized Revenue Operations monitoring process


RevOps Components Demonstrated

  • Sales Operations
  • Pipeline Monitoring
  • CRM Governance
  • Workflow Automation
  • Revenue Leakage Detection
  • Operational Reporting
  • Business Rule Engine
  • Revenue Intelligence Foundations

Future Improvements

Version 2

  • Slack Alerts
  • Microsoft Teams Integration
  • AI Risk Prediction
  • Executive Dashboard
  • Pipeline Forecasting
  • Territory-Based Escalation
  • Deal Health Score
  • Customer Success Integration
  • Predictive Revenue Analytics

Learning Outcomes

Through this project I learned:

  • Scheduled workflow automation
  • Pipeline monitoring architecture
  • CRM data governance
  • Business rule design
  • Router and conditional logic
  • Operational reporting
  • Revenue leakage prevention strategies
  • RevOps process automation
  • End-to-end workflow documentation

Next Project

➡️ OmniEngine: Enterprise Lead Orchestrator & Scoring Pipeline

This project expands beyond pipeline monitoring into a multi-source lead orchestration platform featuring Apollo enrichment, AI-powered lead scoring, intelligent routing, CRM synchronization, database logging, and enterprise-grade Revenue Operations automation.

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An automated Revenue Operations (RevOps) workflow that continuously monitors sales pipelines, detects revenue leakage risks, alerts stakeholders, updates CRM records, and maintains operational logs to improve pipeline health and forecasting accuracy.

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