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Why Clothing Sizes Vary So Widely — And How Tellar.co.uk Fixes It

Author: Stylist at TellarDate: 2025

Clothing sizes are broken. A UK size 10 at Zara may fit like a UK 6 at COS and a UK 14 at H&M. For consumers, the confusion is more than inconvenient — it leads to higher return rates, poor online shopping experiences, and unnecessary waste. But what's behind the inconsistency? And how can technology like Tellar.co.uk eliminate the guesswork?

In this technical deep-dive, we’ll explain:

  • Why sizes vary across brands and regions

  • The role of vanity sizing and fit models

  • How brand-specific size charts work

  • Why traditional measurements aren’t enough

  • How Tellar.co.uk uses measurements to recommend real-time accurate sizes in 1,500+ brands


📏 1. The Sizing Problem: No Global Standard

One of the most fundamental reasons for size confusion is that there is no international sizing standard. Each region — and even each brand — defines sizes differently. For example:

UK Size

EU Equivalent

US Equivalent

8

36

4

10

38

6

12

40

8

These conversions are only approximate. In practice, a UK 10 from one brand may be closer to a US 8, while another brand’s UK 10 might measure completely differently at the bust, waist, and hips.


🧵 2. Brands Use Different Fit Models

Clothing is designed using fit models — actual people whose body proportions influence how garments are cut and sized. But here’s the catch:

  • Zara’s fit models tend to have narrower hips and a slim frame

  • ASOS caters to more diverse body types, often with curvier fits

  • Reiss fits closer to luxury tailoring standards, which run smaller

This means that even if the label says "Size 10", it may be graded from completely different base measurements. Add in fabric stretch, cut (e.g. slim vs boxy), and design intent, and size becomes subjective.


👗 3. Vanity Sizing Distorts the Labels

Vanity sizing is when brands intentionally downsize the number on the label to make consumers feel thinner. For example, a 28-inch waist might be labeled as:

  • Size 10 at Brand A

  • Size 8 at Brand B

  • Size 6 at Brand C

This creates a false perception of fit, leading people to assume they're a smaller size than they are. While flattering in-store, this strategy causes chaos when shopping online or comparing between brands.


📈 4. The Rise of Online Shopping = More Returns

In the UK, over 40% of fashion e-commerce returns are due to sizing issues. Online shoppers often:

  • Order multiple sizes and return all but one

  • Get the wrong size due to unfamiliar brand fits

  • Avoid brands entirely if they’ve had previous sizing issues

This isn’t just an inconvenience — it’s an environmental and financial burden. Brands incur return costs, while consumers lose confidence in the online shopping experience.


🔎 5. Why Standard Size Charts Aren’t Enough

Even when brands publish size charts, they often:

  • Use ranges (e.g. Medium = 28–31 inches waist)

  • Round measurements up or down

  • Fail to specify fit intent (e.g. oversized vs tailored)

  • Leave out key measurement points (e.g. inseam, rise, shoulder width)

And many brands change their sizing seasonally, or between different lines (e.g. H&M Conscious vs H&M Trend).


✅ 6. How Tellar.co.uk Solves the Sizing Crisis

Post Image

At tellar.co.uk, we’ve built a tool that cuts through the confusion by focusing on your actual body measurements.

How it works:

  1. You enter your bust, waist, and hip measurements — or let us estimate them using your known size from any major store.

  2. Our system compares those numbers against real, verified brand size charts from 1,500+ brands.

  3. We return your correct size per brand, instantly, in cm or inches.

  4. You get direct links to shop with confidence.

We account for:

  • Brand-specific grading

  • Regional sizing rules

  • Fit model proportions

  • International conversions

And we’re the only UK-based sizing tool that works completely free, with no hidden paywall.


🔬 7. Technical Foundations: Measurement Matching Logic

Our recommendation engine uses your largest measurement (usually hips for women, chest for men) to anchor sizing. Here’s a simplified version of the logic:

sql

CopyEdit

SELECT

brand, size FROM

standardized_size_data WHERE

hips >=

[user_hips] AND

brand =

[selected_brand] ORDER

BY

hips ASC

LIMIT 1

;

If a user enters 102 cm hips, and a brand’s size chart lists:

  • Size M = up to 100 cm

  • Size L = up to 104 cm

  • Size XL = up to 108 cm

→ We return Size L.

This ensures a safe fit without overestimating tight sizes. We also adjust for unit (cm/in) in real time.


🛍️ 8. Practical Example: Zara vs ASOS vs H&M

Let’s say you’re shopping for trousers and your body measurements are:

  • Waist: 78 cm

  • Hips: 102 cm

Zara

  • Size M: Waist 76 cm, Hips 100 cm

  • Size L: Waist 80 cm, Hips 104 cm

    → Recommended: Size L

ASOS

  • Size 12: Waist 78 cm, Hips 103 cm

    → Recommended: Size 12

H&M

  • Size 14: Waist 79 cm, Hips 104 cm

    → Recommended: Size 14

Same person, three different sizes — Tellar.co.uk tells you each instantly, based on real data.


📲 9. How to Use Tellar.co.uk

Getting started is simple:

  1. Visit tellar.co.uk

  2. Print your FREE measuring tape

  3. Measure chest, waist, hips

  4. Log in or create a profile

  5. Search any brand with our store size lookup tool

  6. Get your real-time size recommendation

No guessing. No returns. No frustration.


📉 10. The Future: Better Fit = Fewer Returns

With pressure mounting on fashion retailers to reduce waste, improve customer satisfaction, and enhance digital fit technology, platforms like Tellar.co.uk are the missing link.

We empower users with:

  • Data they can trust

  • Instant, actionable results

  • A growing ecosystem of fashion brands

  • Integration-ready APIs for retailers and Chrome extensions


🔗 Call to Action

🎯 Ready to stop guessing your size?

👉 Visit tellar.co.uk now and get your perfect size in over 1,500 brands — instantly and accurately.

🧵 Whether you’re shopping Zara, ASOS, COS, Reiss, H&M or Mango, we match your measurements to the real data so you get the right size first time.


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