QuantumStream / Case Study 01
WHEN THE
WHOLE SYSTEM
IS THE WORK.
How a founder-led digital transformation turned LK Cargo’s website, lead process, proof, and growth controls into one operating system.
LK Cargo is a business owned by QuantumStream’s founders and partners. This is a documented internal case study; figures are replacement-cost estimates, not revenue claims or performance guarantees.
The starting point
NOT A REDESIGN.
AN OPERATING RESET.
LK Cargo began with a website not ready for paid acquisition, unreliable mobile behaviour, search-index clutter, and disconnected marketing systems. The mandate was bigger than visual polish: make the business measurable, credible, and safer to grow.
01 / Experience
Website + mobile recovery
Protected staging, exact baselines, selective releases, real-iPhone QA, improved forms, optimized media and route verification.
02 / Discoverability
Search foundation
A 65-URL audit, index cleanup, technical SEO, claims controls and strengthened commercial service pages.
03 / Lead discipline
Measurement + routing
Quote-event design, tested attachment and email paths, attribution readiness, recipient verification and privacy-aware handling.
04 / Growth control
Sales + demand systems
Prospect scoring, suppression rules, call guides, proof inventory, content planning and spend guardrails.
Evidence, not hype
FASTER. CLEANER.
READY TO MEASURE.
The live evidence showed a homepage LCP of about 1.07 seconds, CLS of 0, about 116 KB over 27 requests, and core service paths remaining available after releases. Search discovery reached 795 impressions in 28 days, up 130%.
The credibility line
Technical health is not the same as revenue.
Qualified non-brand traffic and revenue attribution were not mature enough to support a revenue claim. The next step was to reconcile analytics, verify exact-once quote measurement, establish lead economics, then run a controlled demand-generation pilot.
Your operating system
WHAT WOULD CHANGE IF YOUR WEBSITE, SALES, AND MARKETING FINALLY SPOKE TO EACH OTHER?
We map the highest-friction loop first, then build the system around the work your team actually does.