Case Studies Built Around Revenue Metrics
We track outcomes from launch through optimization so you can see what changed, why it changed, and how it affected pipeline quality.
Delivery Snapshots By Business Model
CloudOps Platform Website
Refined value proposition and guided users into high-intent demo pathways.
Supplements D2C Funnel
Product page rewrite and checkout simplification for mobile-heavy traffic.
Consulting Firm Demand Site
Authority-focused page architecture for enterprise buyers and procurement teams.
HRTech Lead Engine
Segmented messaging paths for CHRO, CFO, and operations buying committees.
Beauty Brand PDP Optimization
Trust anchors, social proof design, and friction-free purchase journeys.
Industrial Services Website
Technical credibility rebuild with clearer qualification pathways by service type.
How We Iterate After Launch
We do not stop at launch. This is the same optimization rhythm used across our portfolio delivery.
Variant B hero headline increased CTR by +19%.
Trust strip moved above fold, bounce dropped -11%.
Checkout copy compression improved completion +14%.
Form-step reduction lifted MQL submit rate +22%.
Current sprint status: 3 tests in validation.
Drag To Compare Before/After Funnel Visuals
Use the slider to see how hierarchy, proof, and CTA placement changed conversion behavior.
SaaS Demo Funnel Revamp
Before: feature-heavy clutter. After: outcome-first narrative + cleaner proof stack.
Ecommerce Checkout Flow Upgrade
Before: multi-friction checkout. After: trust, urgency, and faster step completion path.
Before vs After Impact Breakdown
Two representative engagements with measurable funnel outcomes.
B2B Software Repositioning + Funnel Rebuild
Problem: traffic volume was healthy, but trial-to-demo conversion was weak and sales complained about low-intent leads.
| Metric | Before | After |
|---|---|---|
| Demo Conversion | 1.8% | 3.7% |
| SQL Rate | 24% | 41% |
| Cost Per Qualified Lead | ₹25,700 | ₹16,400 |
D2C Product Journey + Checkout Optimization
Problem: paid traffic performed inconsistently due to slow PDP load, unclear trust signals, and checkout drop-off.
| Metric | Before | After |
|---|---|---|
| Add-to-Cart Rate | 4.9% | 8.6% |
| Checkout Completion | 32% | 51% |
| ROAS | 2.1x | 3.0x |
Industries We Commonly Serve
Our frameworks are adapted for longer B2B sales cycles, D2C velocity, and complex service qualification flows.
SaaS
Product-led and sales-assisted funnel systems.
Ecommerce
Catalog strategy, PDP conversion, checkout optimization.
Healthcare
Trust-sensitive UX and compliant lead pathways.
Professional Services
Authority positioning and high-value lead filtering.
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