Funnel Analysis vs Cohort Analysis

Developers should learn funnel analysis when building or maintaining digital products with user flows, such as e-commerce platforms, SaaS applications, or mobile apps, to diagnose bottlenecks and enhance conversion funnels meets developers should learn cohort analysis when building or optimizing digital products, especially in saas, e-commerce, or mobile apps, to inform data-driven decisions about user retention and product improvements. Here's our take.

Funnel Analysis

Nice Pick

Developers should learn funnel analysis when building or maintaining digital products with user flows, such as e-commerce platforms, SaaS applications, or mobile apps, to diagnose bottlenecks and enhance conversion funnels

Pros

• It is crucial for data-driven development, A/B testing, and collaborating with product and marketing teams to align technical improvements with business objectives, ultimately driving user engagement and revenue growth
• Related to: data-analysis, user-behavior-analytics

Cons

• Specific tradeoffs depend on your use case

Cohort Analysis

Developers should learn cohort analysis when building or optimizing digital products, especially in SaaS, e-commerce, or mobile apps, to inform data-driven decisions about user retention and product improvements

Pros

• It is crucial for identifying whether new features or updates positively impact user engagement over time, helping prioritize development efforts and measure the success of product launches
• Related to: data-analysis, sql

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Funnel Analysis is a concept while Cohort Analysis is a methodology. We picked Funnel Analysis based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Funnel Analysis wins

Based on overall popularity. Funnel Analysis is more widely used, but Cohort Analysis excels in its own space.