Monolytics
Dead Click Analysis: Triage Non-Responsive Clicks
Learn how to triage dead clicks with session replay, heatmaps, cohorts, and a fix log without treating every non-responsive click as proof of frustration.
Pricing Page Search Intent Report: Brand Demand vs Evaluation Traffic
A first-party GSC report on whether Monolytics pricing and evaluation surfaces currently attract brand, commercial, or problem-research intent.
Behavior Analytics for Product Marketing Teams
Learn how product marketers can use targeted session evidence, pattern review, and contextual feedback to diagnose campaign landing page, messaging, proof, and CTA friction.
Pricing Page Evaluation Checklist
Use this checklist to diagnose SaaS pricing-page friction across plan clarity, proof, trust, hidden-cost anxiety, and next-step commitment.
Session Replay Analysis Workflow
Learn a practical workflow for choosing which session replays to review, tagging repeated friction patterns, combining evidence with metrics or feedback, and deciding the next fix.
Session Replay Evidence Review Template
Use this template to turn session replay observations into structured evidence for signup, onboarding, pricing, and product-flow decisions.
Signup Friction Diagnostic Checklist
Diagnose signup abandonment with a checklist that maps form, trust, source, and onboarding friction to behavior evidence and targeted prompts.
Smartlook Alternative for Product Analytics Workflows
Smartlook is scheduled for end of sale on May 31, 2026. Compare when to stay with the Cisco/Splunk path and when Monolytics fits web SaaS teams diagnosing signup, pricing, onboarding, and conversion friction.
User Feedback Workflows for Early-Stage Startups
Learn a lightweight weekly feedback loop for early-stage startups: review behavior evidence, ask targeted questions, talk to users, and turn onboarding or activation friction into the next product decision.
How to Measure Feature Adoption With Micro-Surveys
Pair feature usage signals with short in-product survey questions to learn why users ignore, try, abandon, or adopt a feature.
