Why Don’t the Numbers Match Each Other?

Why does the gap arise?

The numbers don’t match each other for four technical reasons.

Different definitions

When the panel says “conversion” it counts a form submission; when the salesperson says “conversion” they mean a closed job. Same word, two different events. Until definitions align, numbers don’t. 📖

Different attribution

The customer saw the ad, came via search three days later, filled the form. The panel says “mine”, search says “mine”. Both are right; both are counting the same customer. The total looks bigger than reality. 🔀

Different time windows

The panel records the click day, analytics the form day, accounting the payment day. The same customer can appear in three different months. In the month-end report the three never match. 📆

Different coverage

Analytics doesn’t see the visitor blocking cookies; the panel only sees its own ads; the salesperson only knows who spoke to them. Each source counts a piece of the world.

Which number to trust for what?

The right question isn’t “which is right” but “which for which decision“.

A decision-based trust table

For ad adjustments, the panel: the only consistent source for comparing campaigns. For page fixes, analytics: where are we losing people. For budget and profitability, the salesperson and accounting: closed jobs are the only truth. Each number is reliable in its own decision and misleading in another’s — selection in the which-three-numbers article. 🎯

How much gap is normal?

Trying to fix every gap kills measurement.

The acceptable range

The gap between panel and salesperson varies from business to business but stays similar month to month within the same business. The first three months’ ratio gets recorded and counted as “normal”. A month outside normal gets investigated; one inside doesn’t. A business chasing every gap isn’t measuring — it’s busy with measurement. 📏

How is validation done?

Not eliminating the gap; knowing it.

The monthly three-way comparison

Each month three numbers side by side: panel conversions, analytics forms, salesperson qualified enquiries. The ratio between them is usually stable — panel always high, salesperson always low, same ratio. If the ratio is stable the system is healthy; if it suddenly changed something broke. Validation tracks not the gap but the change in the gap. 🔬

What’s the rule that ends the argument?

One sentence, written down.

The source hierarchy

Written on one page: which decision, which source, who has the last word. For example: “profitability decision — closed jobs — accounting has the last word; ad adjustment — clicks and cost — the panel has the last word.” When this page sits on the table, the “which is right” argument never opens again. Dashboard setup sits in the dashboard article, all questions on the consulting page. 📜

📝 Field Notes

At one business the owner and the agency had the same argument every month: the agency said “a hundred conversions”, the owner said “twenty jobs”. Both were right. We wrote it on one page: for ad adjustments the agency’s number has the last word, for the budget decision the owner’s. The next month there was no argument. Numbers get argued over not because they don’t match, but because nobody wrote down which decision belongs to whom. 📜

📖 Quick Glossary

Attribution: which channel a conversion gets credited to. Time window: which day an event is recorded on. Source hierarchy: which source has the last word for which decision. Tracking break: measurement failing for a technical reason.

⚡ Quick Summary

All correct; each tool counts something different. 🔢 Four causes: definition, attribution, time, coverage. A number is trusted by decision; in profitability accounting has the last word. Validation tracks whether the ratio is stable. A written source hierarchy ends the argument.

🎯 Next Step

Let’s write your source hierarchy on one page together and close the next argument before it starts: the digital audit is free. Scope on the consulting page. 🔍

Frequently Asked Questions