Conversion Funnel Analysis is the process of tracking and analyzing how users progress through the defined steps of your funnel – such as landing page views, product clicks, cart additions, and purchases – to identify where users drop off and why.
Use analytics tools to track user behavior at each funnel stage. Measure the number of users who enter each step and how many advance to the next. Calculate conversion rates between stages and identify drop-off percentages.
In an ecommerce funnel: – 10,000 users view a product page – 3,000 add to cart – 1,500 start checkout – 1,000 complete purchaseEach step's conversion rate helps reveal where users drop off and where to optimize.
OWOX BI lets you visualize your entire funnel – from ad click to purchase – and detect bottlenecks in real time. Use these insights to improve performance at every stage and increase total conversions.
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A good funnel maintains strong progression between stages (e.g., 50%+ from cart to checkout). Healthy funnels show minimal drop-offs and steady user flow toward the end goal.
A bad funnel shows steep drop-offs early on or sharp declines at key decision points. This may point to poor UX, unclear CTAs, or misaligned messaging.
Analyze funnels separately for organic, paid, and email traffic to find what drives the best results and tailor strategies accordingly.
Identify and test fixes for stages with unusually high exit rates, such as optimizing CTAs or simplifying form fields.
Make sure each step in the funnel provides relevant value and supports user decisions rather than delaying them.
