When should I trim the number of values?
Too many points overwhelm viewers. Keep x-axis labels readable and rumble the data into summary points when possible.
What Is a Funnel?
This chart turns structured data into a visual pattern that is faster to scan than a raw table.
Use it when the reader should understand shape, comparison, distribution, proportion, or movement quickly.
Start With the Raw Data
Most charts begin with a small, structured table before the visual layer is added:
| Label | Value A | Value B |
|---|---|---|
| Example 1 | 24 | 31 |
| Example 2 | 30 | 28 |
| Example 3 | 18 | 36 |
The raw values stay the same, but the visual structure makes patterns easier to spot: highs, lows, clusters, gaps, and unusual changes.
What This Chart Helps You See
Business reporting
Operational monitoring
Decision support
Common Ways to Use a Funnel
- Explain a business dataset more clearly than a plain table.
- Show comparison, trend, distribution, or relationships depending on the chart type.
- Support dashboards, reports, SEO articles, and stakeholder presentations.
Frequently Asked Questions
How to Use the Live Example Below
Change the editable cells in the live example and save to see how the chart responds.
The Pipeline Story
Funnel charts are specifically designed to show values as they pass through sequential stages. They are the standard for sales and marketing reporting because they show "leakage"—where you are losing potential customers in your process. Each stage's width is proportional to its value, creating a visual "funnel" that makes conversion bottlenecks obvious.
Live Demo: Editable Sales Pipeline
Instructions: Change the "Value" (number of prospects) at any stage of the funnel. The chart will update to show how the pipeline narrows or widens based on your data.
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When to Use a Funnel Chart?
- When data flows through at least 4-5 sequential stages.
- When the number of items in the first stage is expected to be larger than the final stage.
- To identify bottlenecks in a business process (e.g., hiring, sales, or website checkout).
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