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<p class="eyebrow">Benchmark library</p>
<h1>Regional cohorts we maintain for franchise comparisons</h1>
<p class="lead">This page describes the peer panels available for matching—not live data. Actual benchmarks are built from operator submissions for your specific engagement. Use it to check whether your category and province are likely to meet minimum cohort size.</p>
<h2>Provincial coverage</h2>
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<h3>Gyeongsang region</h3>
<p>Strongest panel depth: Gyeongsangbuk-do, Gyeongsangnam-do, Daegu, Ulsan, Busan. Food service and bakery categories exceed twenty peers in most formats.</p>
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<h3>Capital metro</h3>
<p>Seoul, Gyeonggi, Incheon covered for coffee, quick-service, and specialty retail. Mall vs street cohorts maintained separately.</p>
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<h3>Honam & Jeju</h3>
<p>Jeolla provinces and Jeju: personal services and food service panels growing since 2022. Some niche categories still below eight-peer threshold.</p>
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<h3>Chungcheong</h3>
<p>Daejeon, Sejong, Chungcheongbuk-do, Chungcheongnam-do: retail and bakery panels active. Transit-hub formats tracked separately.</p>
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<h3>Gangwon</h3>
<p>Seasonal tourism impact noted in all reports. Ski-resort corridor units matched against leisure-food peers only.</p>
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<h3>Jeju</h3>
<p>Island-specific rent and labour bands. Sample sizes smaller—feasibility letter especially important before deposit.</p>
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<h2>Sample KPI bands (illustrative Q4 2024)</h2>
<p>The table below shows <em>illustrative</em> quartile ranges for a quick-service poultry category in Gyeonggi street-front format. Your report uses fresh submissions—not these static figures.</p>
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<table class="bench-table">
<thead>
<tr>
<th>KPI</th>
<th>Q1 (top quartile)</th>
<th>Q2</th>
<th>Q3</th>
<th>Q4</th>
</tr>
</thead>
<tbody>
<tr>
<td>Labour ratio (% of sales)</td>
<td>18.2 – 20.1</td>
<td>20.2 – 22.4</td>
<td>22.5 – 24.8</td>
<td>24.9 – 28.3</td>
</tr>
<tr>
<td>COGS band (%)</td>
<td>28.0 – 30.5</td>
<td>30.6 – 32.8</td>
<td>32.9 – 35.1</td>
<td>35.2 – 38.0</td>
</tr>
<tr>
<td>Rent-to-sales (%)</td>
<td>6.5 – 8.2</td>
<td>8.3 – 9.8</td>
<td>9.9 – 11.4</td>
<td>11.5 – 14.0</td>
</tr>
<tr>
<td>Same-store sales YoY</td>
<td>+4.2% – +7.1%</td>
<td>+1.8% – +4.1%</td>
<td>−0.5% – +1.7%</td>
<td>−4.0% – −0.6%</td>
</tr>
</tbody>
</table>
</div>
<h2>Categories actively tracked</h2>
<ul>
<li>Bakery & dessert café</li>
<li>Coffee & beverage</li>
<li>Quick-service poultry & burger</li>
<li>Personal services (salon, grooming, tutoring centres)</li>
<li>Specialty retail (convenience-adjacent, hobby, pet supply)</li>
<li>Full-service casual dining (regional panels only)</li>
</ul>
<h2>Minimum cohort rules</h2>
<p>We require at least eight matched peers before publishing quartile bands. If your category-region combination falls short, we outline alternatives in the feasibility note: broaden format definition, combine adjacent provinces, or wait for panel recruitment.</p>
<p style="margin-top:2rem;">
<a href="/services/regional-benchmark-report/" class="btn btn-primary">Flagship report scope</a>
<a href="/contact/" class="btn btn-ghost" style="margin-left:1rem;">Check feasibility for your network</a>
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