Fix the Funnel That Leaks Loses Lies
Dashboard Development
Most funnels look good on paper — until you analyze what users actually do inside them.
Dashboard Development
What Is Funnel Analysis ? ?!
And Why Most Funnels Are a Mirage
Funnel Analysis is the act of mapping, dissecting, and diagnosing the actual paths users take through your site or product — not just the ones you hope they follow.
You’ve probably got dashboards showing drop-offs between “Landing Page → Signup → Purchase,” right? Cute. Now let’s talk about:
- • Micro-steps no one's tracking
- • Drop-offs before your first “step” even loads
- • Dead-ends hiding under your nav bar
- • Conversion detours that steal your ROI
What We Do at THEMAYK
Funnels That Reveal Rebuild Retain
We dig deeper than “step 1 to step 5” to uncover everything messing with your conversions.
Custom Funnel Mapping
Visualize your entire user journey — including loops, exits, re-entries, and wild detours.
Micro-Conversion Tracking
See what soft signals predict conversion: video views, scroll %s, product filter usage, etc.
Drop-Off Diagnosis
Identify why users drop: content mismatch, load time, offer timing, UI confusion.
Loop & Revisit Behavior
We track if people circle back, retarget them accordingly, and optimize returning flows.
A/B Testing Inputs
Funnel insights feed directly into test design for [ /conversion-rate-optimization ] and [ /ux-optimization ].
Designed for Founders Ready to Scale
How We Map Decode Optimize Funnels
1. Funnel Blueprint Extraction
We extract your current funnel map, identify every interaction point, and re-architect it based on real behavior.
2. Event + Segment Tracking Setup
We implement event-based tracking through GA4, Mixpanel, or Segment to follow users end-to-end — including exits and returns.
3. Behavioral Correlation Layer
We overlay [ /behavioral-tracking ] data to reveal what actions or hesitations drive drop-offs.
4. Optimization Loop
Every insight feeds our CRO, personalization, and UX sprint stack — for rapid A/B tests, copy pivots, and UX upgrades.
The Glue Between Strategy and Revenue
One Win Among Of From Behind Many
We do this weekly. For fintech, SaaS, ecomm, and brands who can’t afford guesswork.
An e-commerce brand saw a 37% drop-off from product page to cart.
We ran funnel pathing and saw 62% of those users tapped the size guide — then exited.
Solution? We embedded dynamic sizing help directly on-page, tested sticky “Add to Cart” CTAs, and tracked hover delay on size variants.
Cart initiations jumped 28%
Revenue per session up 21%
Result?
Return user conversion lifted 18%
Your funnel doesn’t need more steps. It needs fewer mistakes.
FAQs You Think. Ask. Search. Need. Answered
What is funnel analysis in digital marketing?
Funnel analysis tracks user progression through key stages — like landing page > product view > add to cart > checkout — to identify where and why users drop off.
How does funnel analysis improve conversion rates?
By pinpointing the exact stage where users abandon, you can optimize that step. Even small UX fixes or copy tweaks can recover major revenue.
What tools are used for funnel tracking?
Popular tools include Google Analytics 4, Hotjar, Mixpanel, Shopify analytics, and Meta conversion events. We pick tools based on your stack and goals.
Why do most users drop off before converting?
Common reasons: slow load times, unclear messaging, friction in checkout, poor mobile UX, or trust gaps. Funnel analysis reveals which applies to you.
Can funnel analysis help with ad performance?
Absolutely. It shows if ad traffic is bouncing too early, or if users engage but never convert — which guides landing page and targeting fixes.
Do you map custom funnels for different user journeys?
Yes. Whether it’s for paid ads, organic traffic, or email campaigns — we build journey-specific funnels to isolate friction in each flow.
Can you track funnels on Shopify or Webflow sites?
Yes. We implement GA4, Meta Pixel, and other trackers to monitor funnel steps across platforms like Shopify, Webflow, WordPress, and custom sites.
What if my traffic is low — will funnel analysis still work?
Yes. We use directional insights and micro-conversions (e.g., scroll depth, clicks) to diagnose issues, even with smaller traffic volumes.
How long does it take to get actionable insights?
In most cases, 7–14 days of data is enough to spot clear drop-off points and run tests that lead to meaningful uplift.
Will I be able to view the funnel data myself?
Yes. We build interactive, visual dashboards so you don’t need to dig through spreadsheets or guess what the data means.