A Shopify merchant watches her mobile checkout abandonment rate: 78%. On desktop it's 55%. She installs Hotjar, watches session recordings, and sees the problem: customers on iPhone tap the discount field, the keyboard covers the 'Apply' button, they get frustrated, and abandon. This tiny UX issue — invisible in development, obvious in recordings — costs her thousands in lost sales monthly.
Mobile commerce is now 70%+ of e-commerce traffic, but mobile checkout abandonment is 20-30% higher than desktop. The reasons are predictable: tiny tap targets, keyboard covering forms, confusing discount application, unexpected shipping costs revealed too late, and slow page loads. Yet existing analytics tools treat mobile and desktop the same — they show you where users drop off, but not why.
Hotjar ($32-171/mo) and FullStory ($199+/mo) provide session recordings but they're general-purpose. Lucky Orange ($10-100/mo) is cheaper but also general. Microsoft Clarity is free but basic. The gap is a checkout-specific analytics tool at $29-49/mo for Shopify merchants: AI-powered analysis of mobile checkout friction points, automatic identification of UX issues (keyboard overlaps, tap target problems), specific recommendations with implementation guides, and before/after tracking of conversion impact. Not just 'here's where they dropped' — 'here's exactly what's broken and how to fix it.'
What People Are Saying
Real voices expressing this pain point
Even small UX issues seem to have an outsized impact — extra steps, unclear shipping options, or confusing discount application.
💰 Revenue Blueprint
Three-tier value ladder to monetize from day one
Mobile checkout tracking, friction heatmaps, weekly friction report
AI friction detection, specific fix recommendations, session recordings, A/B tracking
Multi-store, advanced analytics, conversion benchmarks, priority support, API access
📊 Market Evidence
🏆 Competitor Landscape
How existing players stack up in this market
| Competitor | Pricing | Notes |
|---|---|---|
| Hotjar | $32-171/mo | Session recordings, heatmaps. General purpose, not checkout-specific. |
| FullStory | $199+/mo | Enterprise session replay. Expensive for SMB. |
| Lucky Orange | $10-100/mo | Heatmaps, recordings. Good for SMB. Not checkout-focused. |
| Shopify Analytics | Free (built-in) | Basic funnel. No session replay or friction identification. |
| Microsoft Clarity | Free | Session replay + heatmaps. General purpose. |
Session recordings, heatmaps. General purpose, not checkout-specific.
Enterprise session replay. Expensive for SMB.
Heatmaps, recordings. Good for SMB. Not checkout-focused.
Basic funnel. No session replay or friction identification.
Session replay + heatmaps. General purpose.
🛠️ Recommended Tech Stack
Suggested tools and technologies to build this idea
Why this stack: Lightweight tracking script that captures checkout interactions. AI analyzes patterns to identify friction. Shopify-native for easy install.
Score Breakdown
Good market signals with room for growth
Market (20%) + Revenue (20%) + Trend (15%) + Competition (15%) + Build (15%) + Pricing (15%)
🚀 Start Building
Copy a prompt into your favorite AI coding tool and start building this idea right now.
Build a SaaS product called "Mobile Checkout Friction Analyzer". ## Product Overview Scan any Shopify checkout on mobile and get specific UX fixes to reduce cart abandonment. ## Problem Mobile traffic makes up 70%+ of visits but abandonment is high. Extra steps, unclear shipping, confusing discounts cause outsized drop-off. ## Solution Build Mobile Checkout Friction Analyzer ## Target Audience indie hackers, small businesses, and solopreneurs ## Tech Stack - Next.js 15 (App Router) with TypeScript - Tailwind CSS v4 for styling - Supabase for auth, database, and storage - Vercel for deployment - shadcn/ui for UI components - Framer Motion for animations ## MVP Features to Build 1. Landing page with clear value proposition 2. User authentication (sign up, sign in, forgot password) 3. Core product functionality based on the solution above 4. Dashboard for users to manage their data 5. Pricing page with at least 2 tiers (free + paid) 6. Basic settings/profile page ## Known Competitors Hotjar, FullStory, Lucky Orange, Shopify Analytics, Microsoft Clarity ## Key Risks to Address Standard market entry risks ## Deployment 1. Set up Supabase project and configure environment variables 2. Deploy to Vercel with `npx vercel --prod` 3. Set up custom domain 4. Configure Supabase RLS policies for security ## Instructions Start by creating the project structure, then build the landing page first. Use server components where possible. Make it mobile-responsive from the start. Focus on getting the core value loop working before adding polish.