How do funnels work in Intempt?

You pick a start event and add steps. Intempt calculates conversion rate, drop-off percentage, and time-to-convert at each step in real time. Clicking any bar opens the list of users at that step with their full event history.

Can I see exactly who dropped off at a funnel step?

Yes. Every funnel bar is clickable. Clicking a drop-off bar opens the user list of everyone who dropped at that step. You can immediately segment, export, or launch a journey for those users without leaving the funnel view.

How many steps can a funnel have?

There is no limit on funnel steps in Intempt. You can build simple two-step funnels or complex multi-step activation flows with as many intermediate steps as your use case requires.

Can I compare funnels for different segments?

Yes. Filter any funnel by segment, channel, device, UTM, or custom attribute. You can also run the same funnel for two different segments side by side to compare where one group outperforms another.

How is Intempt Funnels different from Mixpanel?

Mixpanel shows you funnel percentages. Intempt connects each percentage to the actual users behind it. Click any drop-off bar and you see the user list. Intempt explains the behavioral pattern and recommends the fix, so you skip the analyst ticket and go straight to the action.

A brass periscope rising out of the waves with a glowing lens.

See who dropped, not just how many.

Signup to activation to paid, step by step. Click any drop-off, see exactly who left, and the Data Analyst agent turns it into the next play: build the segment, launch the journey, held for your approval before it sends.

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0.0on G2

10B+events

500M+users

7+years profitable

50+enterprises

Click any drop-off. See the users behind it..

A 62% drop-off rate tells you something is broken. Knowing exactly who dropped, what they did before, and what your best-converting users did differently is what lets you fix it - and whether the email you sent them had anything to do with it.

Bars link to the peopleClick a step and get the users at it, each with their full event history.
Filter without rebuildingSegment, channel, device, UTM or any custom attribute, on the funnel you already have.
Act from the funnelExport the drop-off list or start a journey for it without a handoff.

See which trial behaviors predict conversion

From percentage to person in one click..

Every drop-off bar opens the list of users who left at that step. Intempt shows their full event history and explains the behavioral pattern behind the drop.

Full history per userEvery user in the drop-off list arrives with what they did before and after.
Converted against droppedCompare what the two groups actually did, step by step.
Journey from the user listStart the journey from the list itself rather than exporting it first.

Know which users at each account are engaged

Build any funnel in seconds..

Pick a start event, add steps, and your funnel renders in real time with conversion rates, drop-off percentages, and time-to-convert at every stage.

Any event is a stepNo extra instrumentation to add an event to a funnel.
Time to convert per stageSee where the funnel slows down, not only where it leaks.
Multi-path funnelsUsers who reach the same outcome by different routes are counted once.

From event data to funnel insight, fast.

Connect your data and pick your funnel events

Connect your data source, pick a start event, add funnel steps, and your first conversion view is live within the same session. No SQL, no event mapping, and no consultant required before your funnel is useful.

See conversion and drop-off at every step

Intempt calculates step-by-step conversion rates, drop-off percentages, and time-to-convert in real time. Click any drop-off bar to see the exact users behind it.

Identify the pattern and act on it

The Data Analyst agent compares converted users against those who left, explains what is different in plain language, and queues the action most likely to improve that step. It queues it and hands it back - you decide whether it runs.

Wired into the toolsyour team already opens.

Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.

See every integration

Teams love it

They stopped stitching tools andhired one system.

Acquisition and retention are one connected motion. Personalizing the path before signup only pays off when the same system carries the user through onboarding afterward.

Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

455,396

users instrumented

Read the full research

Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

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Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

Read the full research

Frequently askedquestions.

Everything you need to know about Intempt Funnels.

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What is funnel analysis software?

Funnel analysis software tracks users through an ordered sequence of steps and measures conversion and drop-off at each stage. The best funnel tools connect the drop-off percentage to the actual users behind it, so you can act on who dropped rather than just knowing how many did.

Intempt Analytics

Find the leak. Fix it before your next sprint.

Build the funnel once. The Data Analyst agent keeps watching every stage after that and surfaces the drop-off before your team has to ask about it. You hold the strategy layer - which step matters and what a fix is worth. No SQL, no analyst ticket, no consultant reading your own data back to you.

Start for free