Analytics topic
Funnels and conversion paths
A funnel is a model of a journey, not a claim that every person follows the same path. Make the steps observable, define completion clearly and use drop-off to decide where a closer look is worthwhile.
- 01
Website funnels: the complete practical guide
Plan a funnel, define steps and use conversion and drop-off rates to improve a journey.
- 02
How to find and fix funnel drop-off
Prioritise funnel leaks by visitor intent, step friction and likely business impact.
- 03
How to analyse a signup funnel
Measure the path from signup intent to a verified, useful first session.
- 04
Ecommerce checkout funnel analysis
Spot avoidable friction from cart through order confirmation and payment.
- 05
Improve form conversion with analytics
Diagnose form abandonment through field friction, errors and completion quality.
- 06
Micro-conversions: measure progress before the sale
Choose meaningful early actions that help diagnose long or complex buying journeys.
- 07
How much data do you need to trust a funnel?
Avoid overreacting to noisy funnel rates, small segments and short date ranges.
- 08
Design a multi-step funnel that reflects real user journeys
Keep funnel steps actionable, ordered and grounded in events your site records.
- 09
Funnel vs customer journey: which view should you use?
Understand how funnel reports and journey maps answer different questions.
- 10
Use analytics to run better A/B tests
Prepare a measurable hypothesis, choose a primary outcome and avoid common experiment traps.