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🚀 Sign-Up Flow Optimization Analysis with SQL & Tableau

Data-Driven Insights to Improve User Conversion and Onboarding Experience

SQL Tableau Analysis Type Status


🧭 Project Overview

This project analyzes user registration behavior to uncover friction points in the sign-up process of 365 Company’s platform.
By combining SQL for data extraction and Tableau for visualization, the analysis identifies where users drop off, which sign-up methods perform best, and how UX improvements can directly enhance visitor-to-free-user conversion rates.


🎯 Objective

To evaluate the effectiveness of the current sign-up flow, quantify failures by method and device, and propose actionable optimizations to increase conversions and improve the overall user experience (UX).


🧩 Business Context

365 Company noticed stagnating user conversions despite offering multiple sign-up options (Email, Google, LinkedIn, Facebook).
The business needed a data-driven approach to pinpoint where users abandon the process and how to fix those issues efficiently.


⚙️ Tools & Techniques

Category Tools / Techniques
Data Extraction & Querying SQL (MySQL Workbench)
Visualization Tableau Desktop / Tableau Public
Analysis Descriptive Statistics, Funnel Analysis, Hypothesis Testing
Business Insight A/B Testing, Opportunity Sizing, Conversion Rate Analysis

📊 Key Findings

🔹 Overall Performance

  • Desktop sign-up fail rate: 1.16%
  • Mobile sign-up fail rate: 3.24% → mobile users are 3× more likely to fail.
  • Most failures by OS: Android (2,309)
  • Most successful retries: Android (4,077)

🔹 Sign-Up Method Comparison

Method Success Rate Fail Rate Notes
Google 91% 3.2% Most popular & reliable
LinkedIn 87% - Stable conversion performance
Facebook 69% 7.6% Frequent “unknown” API errors (349)
Email 65% 6.2% High error rate; 25% login fails post-sign-up

🔹 Mobile & Email Friction

  • 85% of email input errors came from mobile users.
  • 1,273 out of 1,508 total email failures occurred on mobile.
  • Common issues: tiny form fields, password complexity, and input autocorrect problems.

🔹 External Factors

  • 778 users closed the Google OAuth pop-up mid-process → external, user-driven failure event.

💡 Actionable Insights

Problem Area Observation Recommendation
Mobile Email UX High input & password error rate Simplify email form and reduce password complexity
Social Sign-Up Visibility Users default to email Highlight Google & LinkedIn options more prominently
OAuth Pop-Up Premature closure Add in-app guidance or fallback login option
Facebook Integration 349 unknown errors Investigate API issue and improve error logging
Password Recovery Multi-step process Simplify to 1-click password reset flow

📈 Quantified Opportunity

  • Expected Conversion Lift: +10% (3.2% → 3.52%)
  • Additional Free Users: +3,587
  • Paid Conversions per 10K Visitors: +14
  • Revenue Gain per 10K Visitors: ≈ $420 (at $30 ARPU)
  • Scalable Revenue Impact: Significant when extrapolated to total visitor volume

🧪 A/B Testing Plan

Parameter Value
Hypothesis Highlighting social sign-ups increases conversion
Test Type Two-Sample A/B (Parallel)
Metric Visitor → Free Conversion Rate
Baseline Conversion 3.2%
Target Uplift (MDE) +10%
Significance Level (α) 0.05
Statistical Power (1−β) 0.8
Sample Size Estimate ~50,000 visitors per variant

📊 Tableau Dashboard Components

Dashboard Views:

  1. Funnel Overview – Visitor → Attempt → Success (by device & OS)
  2. Sign-Up Method Breakdown – Google, LinkedIn, Facebook, Email
  3. Error Distribution – Error types & frequencies
  4. Mobile UX Analysis – Email input error visualization
  5. A/B Test Simulation – Expected lift and revenue forecast

🧠 Business Recommendations

  1. Promote high-success social sign-ups (Google, LinkedIn) at the top of the form.
  2. Redesign mobile email fields — optimize for small screens and reduce password friction.
  3. Fix technical errors — investigate Facebook and Google OAuth integrations.
  4. Simplify password recovery to improve reactivation.
  5. Run structured A/B tests to validate improvements and monitor key funnel metrics.

📈 Business Impact Summary

Metric Before After (Expected) Outcome
Visitor → Free Conversion 3.2% 3.52% +10% relative lift
Free → Paid Conversion 0.43% 0.45% +14 new paid users / 10K visitors
Incremental Revenue - +$420 / 10K visitors Sustained growth potential

💬 Executive Takeaway

Streamlining the sign-up experience is not just a UX improvement — it’s a growth lever.
Data analysis revealed that mobile and email friction are the biggest bottlenecks, while social logins like Google and LinkedIn drive efficiency.
Implementing the recommended optimizations can produce measurable revenue and engagement growth.


🧰 Skills Demonstrated

SQL · Tableau · Data Visualization · Funnel Analysis · A/B Testing · Business Analytics · Statistical Validation · Data Storytelling · Conversion Optimization


⭐ If you found this project interesting

Give it a ⭐ on GitHub and connect with me to discuss Data analytics !

🤝 For more details or collaboration opportunities, feel free to connect with me on

👤 Nishi — Data Analyst
📍 Passionate about transforming raw data into business impact through analytics and visualisation. 🔗 LinkedIn | Email | | TABLEAU PUBLIC


© 2025 Nishi — All Rights Reserved
Sign-Up Flow Optimisation Analysis with SQL & Tableau Project

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To identify friction points within the 365 Company registration process, quantify their impact on user conversion, and recommend actionable, data-driven optimizations to enhance visitor-to-free-user sign-up rates and overall platform performance.

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