How to Create Funnel Reports in GA4 Explorations

Any multi-step process on your site — checkout, signup, a lead form, an onboarding flow — has a drop-off rate at every step, and knowing the overall conversion rate tells you almost nothing about where that drop-off actually concentrates. Funnel exploration is GA4's dedicated tool for visualizing exactly that: a sequence of steps, and the percentage of users who make it from one to the next.

When a Funnel Is the Right Tool

Use a funnel exploration when you have a known, meaningful sequence of events you want to measure completion and drop-off across. It's the right fit for checkout flows, signup wizards, application processes, and any other multi-step journey where the steps themselves are well-defined in advance. If you don't know the sequence in advance and want to discover it, Path exploration (a different technique) is the better starting point.

Building Your First Funnel

1. Go to Explore → Funnel exploration (or start a blank exploration and select the Funnel technique from the technique picker).
2. Under Steps, click Add step and choose your first event (e.g., view_item for an e-commerce funnel, or a custom event like signup_step_1).
3. Add subsequent steps in order: add_to_cart, begin_checkout, add_payment_info, purchase.
4. Each step can have additional conditions — for example, filtering view_item to a specific product category using its parameters.
5. GA4 renders a visual funnel showing the percentage of users completing each step, and the drop-off between consecutive steps.

Open vs. Closed Funnels

This setting, found near the top of the funnel configuration, changes what counts as "entering" the funnel:

• Open funnel — counts users who enter at any step, not just the first. Useful when users can reasonably start partway through (e.g., arriving directly at a product page via an ad, skipping a general browse step).
• Closed funnel — requires users to have completed every prior step in strict sequence. Useful when you want a stricter, purist view of the intended path.

Most real-world analysis benefits from starting with an open funnel, since strict sequential requirements often undercount legitimate paths that don't perfectly follow your assumed order.

Reading the Drop-Off Data

For each step, GA4 shows:

• Completion rate — percentage of users reaching that step relative to the funnel's total entrants.
• Step-to-step drop-off — percentage of users who reached the previous step but did not reach the current one.
• Elapsed time — the average time between consecutive steps, useful for spotting steps where people seem to hesitate for an unusually long time before either continuing or abandoning.

The steepest drop-off between two adjacent steps is usually your highest-priority thing to investigate — a 60% drop-off between "begin checkout" and "add payment info" is a much stronger signal of a specific problem than an even, gradual decline across every step.

Segmenting a Funnel by Device or Channel

A single blended funnel can hide meaningful differences between segments. Add a Comparison to break the same funnel down by device category or acquisition channel:

1. Click Add comparison.
2. Choose a dimension, e.g., Device category, and select Mobile as one comparison and Desktop as another.
3. GA4 renders both funnels side by side (or overlaid, depending on visualization), letting you directly compare where mobile users drop off differently than desktop users.

This is one of the most common and valuable funnel refinements — checkout funnels in particular often show meaningfully worse mobile completion than desktop, which is worth knowing precisely rather than guessing at.

Building a Funnel for a Non-E-commerce Process

Funnels aren't limited to shopping flows. For a B2B lead-generation site, a funnel might look like:

1. page_view (pricing page)
2. form_start (contact form)
3. generate_lead (form submitted successfully)

Or for a content site trying to understand its newsletter conversion path:

1. page_view (blog post)
2. scroll (reached 90% of the article)
3. newsletter_signup

The same funnel mechanics apply regardless of the specific business — any sequence of events representing a meaningful multi-step journey is a valid funnel candidate.

Turning a Useful Funnel into a Recurring Report

Once you've built a funnel that answers a question your team checks regularly, it's worth either:

1. Sharing the Exploration directly with relevant team members (click Share in the top-right corner), or
2. Recreating the structure as a saved, regularly-monitored view — while GA4 doesn't support publishing a funnel exploration directly as a custom report in the Library the way free-form tables can be, keeping the exploration saved and named clearly under your Explorations list makes it easy for your team to return to.

Common Funnel-Building Mistakes

• Using overly broad first steps. Starting a funnel with a generic page_view across your entire site (rather than a specific relevant page) makes completion rates look artificially low, since most site-wide visitors were never going to enter the specific process you're actually studying.
• Ignoring the "Elapsed time" data. A step with a very long average elapsed time before the next step, even without a high drop-off rate, often indicates friction worth investigating even though people eventually push through it.
• Not testing both open and closed funnel settings. The two can tell meaningfully different stories, and defaulting to whichever GA4 shows first without considering which better matches your actual analysis question can lead to a misleading conclusion.

FAQ about Creating Funnel Reports in GA4 Explorations

How many steps can a GA4 funnel have?

GA4 supports up to 10 steps in a single funnel exploration, which is more than enough for the vast majority of real-world processes.

Can I build a funnel using custom events I've defined myself?

Yes — funnel steps can be any event GA4 has recorded, whether automatically collected, part of Enhanced Measurement, or fully custom, as long as it's already appearing in your event data.

What's the difference between a funnel exploration and a standard conversion report?

A funnel shows the full multi-step sequence and drop-off at each stage; a standard conversion report typically shows only the final conversion count, without visibility into the intermediate steps leading up to it.

Does a funnel exploration use sampled data?

For very high-volume properties and complex funnels, some Explorations can be subject to sampling; GA4 indicates this in the interface when it applies, and it's worth checking for very large date ranges or high-cardinality data.

Can I export a funnel exploration's data?

Yes — most exploration data, including funnel results, can be exported to CSV or Google Sheets directly from the interface for further analysis or sharing.

Should I always start a funnel with the very first event in a user's whole journey?

No — funnels are most useful when scoped to a specific, well-defined process (like checkout), not necessarily the user's entire site journey from initial arrival, which is better suited to Path exploration or cohort analysis instead.

Conclusion

Funnel exploration is how Google Analytics turns a vague sense that "conversion feels low" into a precise, step-by-step diagnosis of exactly where users give up. Build it around a real, well-defined process, segment it by device or channel to catch hidden differences, and let the steepest drop-off guide what you fix first on your website.