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Data Science & Analytics vocabulary · Metrics and KPIs

Funnel

Meaning in data science & analytics, with examples

/ˈfʌnəl/nounCommon term

In data science & analytics, funnel means: The series of steps users go through to reach a goal, such as visit, sign-up and purchase; fewer people remain at each step, like the shape of a funnel.

In Turkish: dönüşüm hunisi, huni, funnel

How it is used

You build, analyse or optimise a funnel and look at where users drop off. Common phrases are 'top of the funnel' (first contact), 'bottom of the funnel' (purchase), 'funnel conversion' and 'drop-off rate'.

Example sentences

  1. The biggest drop in the funnel is between adding to cart and starting checkout.

  2. Can you build a funnel chart for the new sign-up flow?

Common collocations

  • conversion funnel
  • funnel analysis
  • drop off in the funnel
  • top of the funnel
  • conversion rateThe percentage of users who complete a desired action, such as buying or signing up, out of all the users who had the chance to do it.
  • event trackingRecording specific user actions in an app or website, such as clicks, page views or purchases, as events with details like time, user and device.
  • metricA number that measures something specific about a product, business or process, such as daily sign-ups, average order value or page load time.
  • cohortA group of users who share a starting point or experience in the same period, such as everyone who signed up in January, and who are followed over time.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Metrics and KPIs

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