NASANUSA · ECOMMERCE · REPAIR PARTS · 2 MONTHS

48% higher conversion rate in two months. No extra ad spend.

NasanUSA sells repair parts online. The traffic was arriving. The orders were not following. Nobody could say why, because the tracking was not telling the truth.

+48% Conversion rate
2 months From launch to measured result
Same Ad spend across both periods
Executive Summary

What changed at NasanUSA?

The engagement rebuilt event tracking and conversion attribution, fixed the technical performance problems slowing the site, and removed friction from the product and checkout pages.

Two months after the changes went live, overall conversion rate was up 48%, and revenue rose without any increase in ad spend.

Context

Traffic that would not convert

NasanUSA had solved acquisition. Visitors were arriving in volume. What they were not doing was buying at anything close to the rate the traffic justified.

The team suspected a conversion problem but had no way to locate it. The analytics setup had gaps in event tracking and conversion attribution, so the reports could not point at a cause.

Goal: Find the real bottleneck and fix it, without spending more on traffic.

Investigation

Three problems, in order of how much they mattered

Leak 1: Incomplete and inaccurate tracking

Events were missing. Attribution was unreliable. Decisions were being made on numbers that did not reflect what customers actually did.

Leak 2: Slow load times and technical debt

Performance problems were pushing bounce rate up before visitors reached a product.

Leak 3: Friction in the buying journey

Navigation and checkout created hesitation at exactly the points where a ready buyer needed clarity. Buttons, forms and microcopy were adding thinking time instead of removing it.

Execution

Fix the measurement, then fix what it reveals

1. Full analytics and tag audit

Audited the Google Analytics and tag setup end to end. Found the gaps in event tracking and conversion attribution, and documented what each gap was hiding.

2. Rebuilt the tracking framework

Implemented a complete setup across GA4 and Google Tag Manager, plus heat mapping to capture clicks, scroll depth and form interaction. For the first time the team could see the journey, not just the totals.

3. Technical performance work

Lazy loading, asset minification and CDN configuration. Faster pages, lower bounce rate, more visitors reaching a product.

4. UX review and rebuild

Mapped the full user journey. Identified friction on product and checkout pages. Rebuilt buttons, forms and microcopy so each step was obvious instead of requiring thought.

5. Prioritized roadmap

Delivered a ranked report: findings, test hypotheses and the order to work in. Not a wish list. A sequence.

Outcome

The result after two months

Conversion rate
+48%

Overall conversion lift

Ad spend
Same budget

Higher revenue from existing traffic

Same visitors. Same budget. Nearly half again as many buyers.

Transparency

How this was measured

The 48% is a before-and-after comparison across a two-month window using the same analytics source on both sides. It is not a controlled test, and several changes shipped in that period, so no single fix owns the number.

What the sequence does show is that the tracking rebuild came first, and that is what made everything after it targetable instead of speculative.

Takeaway

The pattern

NasanUSA did not have a traffic problem. It had a visibility problem that was hiding a friction problem.

Broken tracking does not only cost you reporting. It costs you the ability to find anything at all. Fix that first and the real leaks stop hiding.

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Next step

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