<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Funnel on Monolytics Blog</title><link>https://monolytics.app/blog/category/funnel/</link><description>Recent content in Funnel on Monolytics Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Apr 2026 10:12:28 +0200</lastBuildDate><atom:link href="https://monolytics.app/blog/category/funnel/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Diagnose Contact Form Drop-Off With Session Replay</title><link>https://monolytics.app/blog/how-to-diagnose-contact-form-drop-off-with-session-replay/</link><pubDate>Tue, 24 Mar 2026 10:15:00 +0000</pubDate><guid>https://monolytics.app/blog/how-to-diagnose-contact-form-drop-off-with-session-replay/</guid><description>&lt;p&gt;Qualified visitors reach your contact form and leave without submitting. Analytics shows traffic, scroll depth, even clicks on the CTA, but the form itself silently bleeds leads. The frustrating part is that these are not casual browsers. They arrived with intent, navigated to the right page, and then stopped. Contact form drop off analysis starts by accepting that the form step is where trust, effort, and timing collide, and that aggregate metrics alone cannot tell you which one broke.&lt;/p&gt;</description></item><item><title>How to Analyze Onboarding Drop-Off in B2B SaaS</title><link>https://monolytics.app/blog/how-to-analyze-onboarding-drop-off-in-b2b-saas/</link><pubDate>Sat, 21 Mar 2026 10:15:00 +0000</pubDate><guid>https://monolytics.app/blog/how-to-analyze-onboarding-drop-off-in-b2b-saas/</guid><description>&lt;p&gt;Onboarding drop-off in B2B SaaS rarely comes from one dramatic failure. More often, users lose momentum through a chain of smaller breakdowns: the first use case is unclear, setup feels heavier than expected, the wrong role is seeing the wrong step, or the product does not make early value visible enough. If you only measure “activated or not activated,” those signals stay hidden until too many trials have already stalled.&lt;/p&gt;</description></item><item><title>Trial-to-Paid Drop-Off Signals Product Teams Should Watch</title><link>https://monolytics.app/blog/trial-to-paid-drop-off-signals-product-teams-should-watch/</link><pubDate>Sat, 14 Mar 2026 10:15:00 +0000</pubDate><guid>https://monolytics.app/blog/trial-to-paid-drop-off-signals-product-teams-should-watch/</guid><description>&lt;p&gt;Trial-to-paid conversion rarely collapses without warning. Long before the upgrade fails to happen, users usually leave smaller signals: they never reach first value, they repeat the same setup actions without progress, they ignore key activation paths, or they return to the product without expanding usage. The problem is not a lack of signals. The problem is that teams often track only the final conversion number and miss the behaviors that explain it.&lt;/p&gt;</description></item><item><title>How to Find Funnel Leaks Between Landing Page and Demo Request</title><link>https://monolytics.app/blog/how-to-find-funnel-leaks-between-landing-page-and-demo-request/</link><pubDate>Wed, 11 Mar 2026 10:15:00 +0000</pubDate><guid>https://monolytics.app/blog/how-to-find-funnel-leaks-between-landing-page-and-demo-request/</guid><description>&lt;p&gt;Funnel leaks between landing page and demo request usually hide inside a journey that looks simple on paper. A visitor lands, understands the offer, clicks through, and requests a demo. In practice, the journey is rarely that clean. Traffic can leak because the landing page attracts the wrong intent, because the CTA does not earn enough trust, because the transition to the demo page feels abrupt, or because the demo request flow adds friction at the exact moment of commitment.&lt;/p&gt;</description></item><item><title>How to Find Conversion Issues With Monolytics Research</title><link>https://monolytics.app/blog/how-to-see-conversion-issues-using-monolytics-research/</link><pubDate>Sun, 11 Jan 2026 13:55:16 +0000</pubDate><guid>https://monolytics.app/blog/how-to-see-conversion-issues-using-monolytics-research/</guid><description>&lt;p&gt;Monolytics Research becomes useful when the team is no longer asking about one isolated replay. It is useful when you need to find repeated conversion issues across many high-intent sessions and explain which friction pattern keeps showing up.&lt;/p&gt;
&lt;p&gt;That makes it a better fit for pattern detection than for single-route troubleshooting. Funnels tell you where users drop. Research helps you describe what the failed sessions have in common, compare them with successful behavior, and turn the result into a sharper backlog.&lt;/p&gt;</description></item><item><title>How to see conversion issues using Monolytics records</title><link>https://monolytics.app/blog/how-to-see-conversion-issues-using-monolytics-records/</link><pubDate>Sat, 10 Jan 2026 18:22:05 +0000</pubDate><guid>https://monolytics.app/blog/how-to-see-conversion-issues-using-monolytics-records/</guid><description>&lt;p&gt;If you want to see conversion issues using Monolytics Records, you need to review what users actually do right before they abandon, hesitate, or back out of the flow.&lt;/p&gt;
&lt;p&gt;Session records help you see real user behavior, not assumptions. They turn silent drop-offs into observable evidence, so the next fix is based on behavior rather than guesswork.&lt;/p&gt;
&lt;p&gt;In this article, we show how to find conversion issues using &lt;a href="https://monolytics.app/"&gt;&lt;strong&gt;Monolytics&lt;/strong&gt;&lt;/a&gt; session records and filters.&lt;/p&gt;</description></item><item><title>How to Find Conversion Issues With Record Campaigns</title><link>https://monolytics.app/blog/record-campaigns-conversion-issues/</link><pubDate>Mon, 29 Dec 2025 15:39:59 +0000</pubDate><guid>https://monolytics.app/blog/record-campaigns-conversion-issues/</guid><description>&lt;p&gt;Record Campaigns are useful when a team already knows which journey matters and wants to inspect high-intent failures without recording every visitor. They are especially effective on pricing, demo request, signup, and onboarding steps where one missed action has a clear business cost.&lt;/p&gt;
&lt;p&gt;That makes this workflow narrower and faster than a broad replay review. Instead of watching random sessions and hoping the right problem appears, you define the conditions that matter first and review the evidence set after that.&lt;/p&gt;</description></item></channel></rss>