$1.15M in additional revenue & 60% increase in conversion rate for DudePruner (7 fig shopify mens grooming brand) → Check Case Study (A/B Tests Included)
Our proven 5-step CRO system that lifts your Shopify store’s revenue by identifying leaks, launching experiments, and scaling winners.
1. Intra-Funnel Analysis
We start by mapping out your entire on-site funnel to spot exactly where users drop off—and why. We break it down into 4 key stages:
Landing → Product View: How many visitors even see a product?
Product View → Add to Cart: Are your product pages converting interest into action?
Cart → Checkout: Are shoppers getting stuck at the cart stage?
Checkout → Purchase: What’s stopping users from completing the final step?
We then segment each stage by device, traffic source, and user type (new vs returning) to pinpoint where to lift performance.
2. Conversion Research & Strategy
Once we know where the leaks are, we go deep. Our strategist and founder spend 2+ hours auditing your store, uncovering what’s holding back your revenue.
→ Heatmaps & scrollmaps → Session replays → Polls & surveys → Voice of customer data → Competitor tear-downs
3. Hypothesis Database & Prioritization
We organize every insight into a CRO Master Database, including test ideas, page-level breakdowns, and research notes.
Each test is prioritized by potential impact—and the database becomes a goldmine not just for CRO, but also for your marketing and UX teams.
4. Fast, High-Impact Testing
We launch A/B or multivariate tests based on prioritized hypotheses—starting with the fastest wins.
Our framework delivers:
~40% test win rate
11.2% average uplift in revenue per visitor
5. Reporting & Revenue Attribution
Every test is tracked in your Master Database and shared in Slack or your preferred channel. You’ll always know:
Which tests are running
Which won or lost
Estimated revenue lift from each win
Us vs Them
✅ First A/B test in under 7 days ✅ Fairly affordable ✅ At least 1 test per week ✅ 30–50% higher conversion rate in less than 90 days, 2X+ in a year ✅ Data-backed experimentation
❌ Usually takes 30 days to launch a test ❌ Bloated and overpriced ❌ Runs only 2–3 tests per month ❌ Mediocre results (10–15% increase) ❌ Spaghetti testing or “best-practices” guessing