What Is a Conversion Funnel?
A conversion funnel visualizes the user journey from landing on your site to completing a desired action (purchase, signup, contact). Each stage loses some users — this is called "drop-off."
For example, if 1000 people visit a product page, 300 add to cart, 150 reach checkout, and only 50 purchase, your funnel has a 5% conversion rate. Your goal is to find the stage with the highest drop-off and improve it.
Why Funnel Analysis Matters
Without funnel analysis, you only see the overall conversion number. You don't know where the problem is. Is it pricing? The signup form? Page load speed? Funnel analysis tells you exactly which step is failing.
Building a Conversion Funnel with Didka
Didka has a dedicated module for conversion funnel analysis. Here's how:
- Define funnel stages: Open the "Funnel" section in Didka dashboard. Add purchase steps in order: product page → add to cart → checkout → payment → confirmation.
- Define events: For each stage, define an event. Didka automatically tracks page views, but for custom events (like "add to cart") you can use the Didka tracking code.
- View results: After data collection, Didka shows the funnel chart with drop-off percentage per stage.
- Replay dropped users' sessions: The most important part — Didka lets you replay sessions of users who dropped off at each stage. See exactly what happened: did the form have errors? Was the user confused? Was the page slow?
Professional Tips for Better Analysis
- Keep the funnel short: Each extra step increases drop-off. Remove or delay signup if possible.
- Demographic filters: Check the funnel separately by device (mobile/desktop), browser, or traffic source. Maybe drop-off is only on mobile.
- Periodic comparison: After every site change, re-check the funnel to see the impact.
- Combine with heatmaps: For the highest drop-off page, also check the heatmap to see where users click.
Common Funnel Analysis Mistakes
1. Ignoring mobile: Most Iranian users browse on mobile. If you only check desktop, you miss a huge portion of problems.
2. Missing technical issues: High drop-off at one stage might be a technical error, not weak content. Session replay helps you see the difference.
3. Changing multiple things at once: If you change price, design, and text simultaneously, you won't know which change worked.
Summary
Funnel analysis is an ongoing process, not a one-time task. With Didka, you can build funnels, identify drop-offs, find the root cause with session replay, and measure results after every change. Start with Didka's free plan today.