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Data Quality

Custom Filtered Report

Analysis of filtered data

Filtered vs Total Data

Key Insights for Filtered Data

Overview

Trend Over Time

Calls by Day of Week

Calls by Shift

When Are We Missing Calls?

Peak Loss Hours (Heatmap)

Bubble size = call volume

Why Are We Missing Calls?

Top Loss Reasons

By Service Type (Duty)

Financial Impact

Quote Analysis by Duty Type

Price Sensitivity Analysis

Where does price become a barrier?

Quote Value Distribution

Dispatcher Analysis

Calls by Dispatcher

Customer Types

Dispatcher Performance Breakdown

Callback Opportunities

Callback Potential Distribution

High-Value Callback Opportunities

Callback 6+ with quote value

Lost Revenue Analysis

Lost Revenue by Reason

Which reasons cost us the most money?

Revenue Loss Breakdown

Week-over-Week Trends

Weekly Performance Trend

Last 12 weeks

Week-over-Week Comparison

Are we improving or getting worse?

Winnable Opportunities

Winnable Score Distribution

How many opportunities are high-priority?

What is "Winnable"?

The Winnable Score identifies missed calls most likely to convert on follow-up. It's calculated from:

  • Callback Potential (40%) - Dispatcher's rating of likelihood to call back
  • Non-Price Reason (30%) - Calls lost for ETA/coverage reasons are more winnable than price objections
  • Quote Value (20%) - Higher value jobs are worth more follow-up effort
  • Recency (10%) - More recent calls may still need service

High (70+): Priority callbacks - these customers are likely to convert
Medium (50-69): Worth following up when time permits
Low (<50): Lower probability of conversion

Top Winnable Opportunities

Priority callback list - sorted by winnable score

Sample Records

Filtered Data Sample

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