Glossaire
MarketingData

Funnel Analysis

Aussi : Conversion Funnel Analysis, Sales Funnel Analysis, Marketing Funnel, Funnel Metrics

Funnel analysis tracks how users move through a sequence of steps toward a goal, revealing where they drop off and which stages need improvement.

What It Is

Funnel analysis is a method for measuring how users progress through a defined series of steps toward a desired outcome, such as a purchase, signup, or subscription. The term "funnel" reflects the natural narrowing that occurs as people move from a broad starting point (for example, all website visitors) toward a smaller set of users who complete the final action.

Each step in the funnel records the count of users who reached it, allowing you to calculate conversion rates between consecutive steps and an overall conversion rate from start to finish. The largest gaps between steps signal where users abandon the process.

Why it matters

Funnel analysis turns a vague sense that "conversions are low" into specific, actionable insight about where and how much value leaks out of a process. It matters because:

  • It pinpoints the highest-impact areas for optimization rather than spreading effort thinly.
  • It quantifies the revenue or growth opportunity tied to fixing a given step.
  • It creates a shared language across marketing, product, and finance teams.
  • It supports forecasting, since stable step conversion rates help predict outcomes from top-of-funnel volume.

How it is used in practice

1. Define the steps. Choose an ordered sequence of events (for example: visit, view product, add to cart, checkout, purchase).

2. Set the scope. Decide on the time window, the user population, and whether steps must occur in strict order.

3. Measure conversion and drop-off. Calculate the percentage advancing at each step.

4. Segment. Break the funnel down by channel, device, geography, or cohort to find where performance differs.

5. Diagnose and act. Form hypotheses about why a step underperforms, run experiments (such as A/B tests), and re-measure.

Funnels can be open (users may skip steps) or closed (strict order required), and time-bound (steps must occur within a set period).

Concrete Example

An e-commerce team observes:

  • Visited site: 100,000
  • Viewed product: 40,000 (40%)
  • Added to cart: 12,000 (30%)
  • Started checkout: 6,000 (50%)
  • Completed purchase: 3,000 (50%)

The overall conversion rate is 3%. The biggest relative drop is from view to cart (only 30% advance). If the team improves that single step to 40%, completed purchases rise to roughly 4,000, a 33% lift, without increasing traffic. This focus on the weakest stage is the core value of funnel analysis.

Funnel AnalysisVisited site: 100,000Viewed product: 40,000Added to cart: 12,000Checkout: 6,000Buy: 3,00040%30%50%50%
Each step narrows as users drop off; conversion rates on the right reveal the weakest stage.