Miss Lyn

Miss Lyn is a premium South African provider of luxury bed linen, plush towels, and high‑end hospitality products designed to elevate sleep and guest experiences for five‑star hotels, boutique guesthouses, and discerning homeowners. Their beautifully packaged linens and toiletries transform everyday comfort into a luxury experience. Alongside their growing e-commerce presence, Miss Lyn has expanded their retail footprint with new stores across the Western Cape, including Woodstock and Somerset West.

+18.54%

increase in conversion value

+27.93%

increase in number of purchase conversions

–6.48%

decrease in conversion value / cost, now accurately reflecting actual ROAS

Brief & Objectives

Miss Lyn approached Ruby Digital with growing concerns that Google Ads’ reported revenue did not match financial performance in their accounting system. This discrepancy made it impossible for the client to quantify true ROI or scale confidently.

Our goal was to audit, repair, and standardise conversion tracking across Google Ads, GA4, and Google Tag Manager to ensure that all future performance data was accurate, reliable, and actionable.

Our Google Ads Objectives Were To:

  • Identify and eliminate all tracking discrepancies between Google Ads, GA4, and the website.
  • Ensure Google Ads reported accurate conversion value aligned with real revenue.
  • Remove duplicate or inflated conversion events to prevent overcounting.
  • Re-establish a trustworthy ROAS baseline for future optimisation.
  • Use corrected data to refine targeting, keyword strategy, and campaign allocation.
  • Maintain and improve performance using accurate measurement only.

Challenges

A major challenge for Miss Lyn was the inability to trust their Google Ads revenue data. Although Google Ads appeared to be generating strong conversion value, none of this aligned with their financial records. This created increasing frustration and left the client unable to quantify actual ROI or make informed decisions.

Compounding this issue was a deeper technical problem: duplicate purchase tracking across Google Ads and GA4, both set as primary conversions. This resulted in inflated conversion numbers and doubled revenue, giving the illusion of strong performance while masking the true picture. In addition, inconsistent tracking between the website, Google Tag Manager, and GA4 caused further discrepancies and incomplete attribution.

With incorrect data, the brand had no clear baseline, no reliable ROAS, and no way to verify which campaigns were genuinely performing. Fixing tracking and rebuilding data accuracy became the essential first step before any optimisation or scaling could be done.

Our Solutions

To resolve the tracking discrepancies and restore full data accuracy, we implemented the following solution:

Comprehensive Conversion Tracking Audit

We performed an end‑to‑end audit across the website, GTM, GA4, and Google Ads. This allowed us to identify duplicate events, conflicting primary conversions, incorrectly passed values, and events firing twice. All issues preventing accurate reporting were documented and standardise for fixes.

Removal of Duplicate Purchase Events

We corrected the core issue: both the Google Ads Purchase event and the GA4 Purchase event had been set as primary conversions, causing double counting. Our team removed the duplicate primary event, standardised value parameters, and ensured only one accurate purchase conversion was used moving forward.

Full Tag Manager & GA4 Reconfiguration

Event names, parameters, value fields, triggers, and tags were rebuilt to ensure consistency. Multiple rounds of testing, including debug mode, test purchases, and cross‑platform verification, ensured 100% accuracy and alignment with real revenue figures.

Ongoing Tracking Checks & Validation

Once the system was corrected, we performed regular tracking health checks to ensure long‑term stability. This ongoing validation ensured no regressions or new discrepancies appeared as the website evolved.

Campaign Optimisation Using Clean Data

With accurate tracking in place, we shifted focus to improving performance. We used a mix of existing high‑performing campaigns and newly built Shopping, Performance Max, Search, and Display campaigns. We refined targeting by narrowing keyword themes, tightening audience signals, and reallocating budget based on the newly reliable ROAS data.

Establishing a True ROAS Baseline

With the corrected data, we provided the client with an accurate view of real performance, finally allowing them to measure return on ad spend with confidence and make decisions backed by trustworthy numbers.

Results

(Period: Nov 2025–Jan 2026 to the previous year)

  • Conversion value increased by +18.54%, now accurately representing genuine revenue from purchases.
  • Conversions increased by +27.93%, based solely on true purchase events after removing duplicate tracking.
  • Conversion value per cost decreased by –6.48%, but now reflects true, reliable ROAS, not inflated numbers.

*With accurate tracking in place, Miss Lyn can confidently evaluate ROI, reinvest in their strongest channels, and make informed decisions powered by trustworthy data.

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