Leak 33 · Sales & Quoting - Customer and product churn hidden inside aggregate revenue

Revenue is up 3%. Underneath, twenty accounts are shrinking, five are gone, and two big wins covered it all. The 3% hides a problem that will show up next year.

Diagnostic note. Symptoms, required records, an initial check, and possible fixes. This shorter note does not include a full worked example.

What is it?

Top-line growth is the sum of many opposite movements. Without a bridge from last year’s revenue to this year’s, management sees the net and misses the churn. The same is true of products: a growing category can hide a dying line inside it. The leak is the decisions not made because the decline was invisible.

Family
Sales & Quoting
Primary owner
CFO / VP Sales
Secondary owners
Product Managers, Sales Managers
Primary impact
Revenue
Typical data source
ERP sales by customer, product, and period
Detection difficulty
30-day measurability

Ask yourself

Can you split last year’s revenue change into new customers, lost customers, growth in retained customers, and decline in retained customers?

Yes, partially, no, or don’t know. “Don’t know” is the most useful answer, because it points at the test below.

What does it look like?

Warning signs. None of these proves the leak exists. They tell you where to look.

  • Revenue reported in total and by rep, but not bridged year to year.
  • Growth concentrated in a few accounts.
  • Lost customers discovered after the fact.

What data do I need?

The minimum viable set. Most of it is already in your ERP.

Field
Sales by customer and product for two full years
Customer start dates

The initial check

Start with a small sample. Gathering the exports, agreements, or observations is separate from running the check; agree that work with the person who owns the records.

  1. 1Export sales by customer for the last two years.
  2. 2Classify each customer: new, lost, retained-growing, retained-declining.
  3. 3Sum revenue change in each group.
Revenue change = new + (retained growth − retained decline) − lost

Then ask one question: Is the retained-declining group larger than the growth story suggests?

How much could it be costing us?

A conservative range, not a headline. The goal is a number management can trust enough to investigate.

Gross profit in declining and lost accounts × share recoverable with earlier intervention

Common root causes

Fixes fall into three layers. Not every problem needs software, and almost none needs AI first.

Process
Management reporting stops at totals and rep summaries.
Data
No stable customer identifier across years, so the bridge is hard to build.
Technology
Reporting tools show totals, not movement.

What should we do?

Start with the simplest intervention that could solve it. Move down the list only if the one above is not enough.

  1. Level 1

    Visibility

    A quarterly revenue bridge by customer and product group.

  2. Level 2

    Process

    Declining accounts reviewed in the sales meeting with an action and an owner.

  3. Level 3

    Workflow

    An automated bridge and decline alerts delivered monthly to sales management.

Where AI helps

  • Explaining the likely cause of a decline from order history, quotes, and service records, to make the review faster.

Where AI probably doesn’t

The bridge is arithmetic. A spreadsheet does it.

Before you call it a leak

  • Customer mergers and account restructuring create false churn. Clean customer records first.

Think this might be happening in your business?

Turn the finding into a next step.

If the numbers say there is something there, send us what you found and we will help you decide whether it is worth a full investigation. No transaction files needed for that conversation.

Let’s start with one thing.

What would better performance look like?

Bring a result you want to improve, a symptom, or a workflow you already understand. You do not need to know the bottleneck yet. We’ll help choose what to investigate first.

No transaction files needed for the first conversation.