Conversion Rate Optimization
More revenue from the traffic you already have
Conversion rate optimization consulting that audits your funnel, identifies drop-off points, and designs A/B tests that increase the percentage of visitors who buy, sign up, or book. BOOJEE turns existing traffic into more revenue.
Get a Free ConsultationWhat We Deliver
Funnel Analysis
Map every step from ad click to conversion — quantifying drop-off at each stage and identifying the highest-value optimization opportunities.
Heatmap & Session Review
Analyze click patterns, scroll depth, rage clicks, and session recordings to understand how real users experience your pages.
A/B Test Design
Design statistically valid experiments — hypothesis, variant, success metric, sample size, and duration — before running a single test.
Landing Page Optimization
Redesign landing pages with conversion-first principles: clarity of offer, friction reduction, social proof placement, and CTA hierarchy.
Form & Checkout Audit
Identify the specific form fields, steps, and error messages that cause drop-off — then test simplified alternatives that increase completion rates.
Mobile CRO
Audit the mobile experience separately — mobile users have different behavior patterns, different friction points, and often worse conversion rates than desktop.
How It Works
Audit analytics, install heatmap tracking, and quantify current conversion rates at every funnel stage.
Identify the top conversion barriers through data analysis, session reviews, and user behavior patterns.
Build a prioritized test backlog — each hypothesis includes the expected lift, effort estimate, and statistical requirements.
Run A/B tests with proper statistical rigor — adequate sample sizes, single variable isolation, and pre-set success criteria.
Roll out winning variants, document learnings, and build the next test — compounding gains over time.
Packages & Pricing
- Full funnel heatmap & session analysis
- Analytics audit (GA4 / Mixpanel)
- Top 5 conversion barriers identified
- Prioritized test backlog (10 tests)
- Everything in Audit
- 3 A/B test design & execution
- Landing page redesign (1 page)
- Form & checkout friction removal
- 30-day results report
- Everything in Optimize
- Ongoing testing program (2 tests/mo)
- Personalization strategy
- Mobile conversion audit
- Quarterly CRO roadmap
Frequently Asked Questions
What is conversion rate optimization?
Conversion rate optimization (CRO) is the systematic process of increasing the percentage of website visitors who complete a desired action — purchase, sign-up, booking, or lead form. BOOJEE uses data analysis, user behavior research, and A/B testing to identify and fix the specific barriers preventing conversion.
What is a good conversion rate?
Conversion rates vary dramatically by industry, traffic source, and offer type. E-commerce averages 1–3%; SaaS free trial sign-ups typically run 2–5%; B2B lead forms often convert at 1–2%. BOOJEE benchmarks your rate against your specific category and identifies the achievable improvement range before committing to targets.
How long does CRO take to show results?
Quick wins — fixing broken forms, removing friction from checkout, improving CTA copy — can show results within 2–4 weeks. Statistically valid A/B tests typically require 2–6 weeks per test depending on traffic volume. A full CRO program compounds gains over 3–12 months.
What is statistical significance in A/B testing?
Statistical significance measures the confidence that a test result reflects a real difference between variants rather than random variation. BOOJEE requires 95% confidence before declaring a winner — ensuring that the conversion lift you see in a test actually persists when rolled out to all traffic.
Do I need a lot of traffic for CRO to work?
Low-traffic sites require longer test windows to reach statistical significance, but CRO analysis (heatmaps, session recordings, funnel audits, UX improvements) adds value at any traffic level. For sites under 1,000 monthly visitors, BOOJEE focuses on qualitative research and high-confidence heuristic improvements rather than A/B testing.