Size chart

Size chart — a table mapping size labels (S, M, L, RU 44, etc.) to specific body and garment measurements in centimetres, used on the product card to help customers choose clothing and footwear accurately. It's not just a list of labels but a set of measurements and conversion rules that reduce sizing errors and the number of returns.

How a size chart works

The size chart links four critical seller elements: the size label, the customer’s body measurements, the finished garment measurements, and fit rules (loose/regular/oversize). When adding a product to Kaspi.kz the seller provides labels and parameters; buyers see them on the product card and can filter products by size.

• Size labels — conventional marks: XS, S, M, L, XL or numeric labels RU/EU/US.
• Garment measurements — chest, waist, hips, sleeve length, inseam, etc., specified in centimetres.
• Ranges and tolerances — for each label provide a centimetre range, e.g. S = 88–92 cm chest; indicate measurement tolerances ±1–2 cm.
• Fit rules — whether an allowance should be added to the buyer’s body measurement (for example, for a jacket +8–12 cm to chest circumference).

In practice, a Kaspi.kz product card should not simply say "S" but "S — chest 88–92 cm; fit: regular; model in photo: 172 cm / 49 kg / size S". This approach removes guesswork and lowers the chance of a return.

Why a size chart is necessary for the seller

The size chart influences a seller’s operational and marketing metrics on Kaspi.kz. Specifically:

• Reduced returns: many clothing and footwear sellers report that a correct, detailed chart can cut returns for "wrong size" by 20–40% (depending on category and initial accuracy).
• Higher conversion: buyers are more likely to complete a purchase when confident about size. Case studies show conversion increases of 10–25% for cards with a complete size chart.
• Fewer chat and ticket questions: detailed measurements reduce manual correspondence and speed up order handling.
• Improved visibility in search and filters: correct size attributes boost a card’s relevance for the "Size" filter, increasing filter-driven traffic on Kaspi.
• Logistics savings: fewer returns lower delivery and reprocessing costs, important for sellers with their own warehouses or third-party logistics.

All these improvements directly affect profit: fewer returns cut direct costs, and higher conversion raises revenue without extra advertising spend.

Examples and real situations on Kaspi.kz

Practical examples help illustrate common issues and solutions:

• Example 1 — T-shirts: Instead of only "M", provide: "M — body 92–96 cm; garment chest 100–104 cm; fit: regular (allowance +8 cm). Model: 180 cm / 75 kg / size M." Buyers then choose size based on how close their body measurements are and the desired fit.
• Example 2 — Jackets: For outerwear list both body ranges and recommended additions: "L — body 96–100 cm; garment chest 108–116 cm; fit: roomy (allowance +12 cm), ideal for layering." That explains why a customer with a 100 cm chest might prefer L rather than XL.
• Example 3 — Shoes: Along with numeric sizes RU/EU include foot length in cm and width notes: "EU 40 — foot length 25.5 cm; width: normal. If you’re between sizes, choose the larger size."

Real sellers on Kaspi.kz have improved metrics by standardising measurement protocols across SKUs and showing clear guidance on the card. Publishing the model’s height and size worn on photos also reduces uncertainty.

How to create a correct size chart: step-by-step

1. Decide key measurement points: chest, waist, hips, sleeve length, back length/dress length, inseam for trousers, neck for shirts, and foot length for shoes.
2. Measure the body: record body measurements in cm on a relaxed body (not sucked in). Use consistent landmarks (e.g., chest measured at the fullest point).
3. Measure the garment: lay the finished product flat, slightly stretched if needed, and measure the same points in cm. Take two measurements and use the average.
4. Define allowances for fit: for each product type decide how much to add to the body measurement for the intended fit (e.g., tight +2–4 cm, regular +6–8 cm, roomy/oversize +10–12 cm).
5. Map labels to ranges: convert body measurement ranges into size labels. Example: S = 88–92 cm body chest; garment 96–100 cm with +8 cm allowance.
6. Document tolerances: state measurement tolerances (usually ±1–2 cm) and note the measurement method.
7. Show model data: include model height, weight and size worn in photo captions to give visual context.
8. Publish clearly on Kaspi.kz: in the product card include both body ranges and garment measurements, fit description, tolerances and model info.

Following these steps yields a repeatable process that customers can rely on across your assortment.

Practical tips and common mistakes

Use these tips to make your size chart more effective:

• Tip: Always show both body and garment measurements. Buyers choose better when they see both numbers.
• Tip: Include visual guides or diagrams for where measurements are taken (chest, waist, hips, etc.).
• Tip: For mixed-size items (e.g., sets), provide measurements for each piece separately.
• Mistake to avoid: listing only letter sizes without numbers; this leads to uncertainty and more returns.
• Mistake to avoid: inconsistent measurement methods across SKUs; standardise the process.
• Mistake to avoid: ignoring fit type. A label alone doesn’t explain whether the product is tight, regular, or oversize.

Regularly audit incoming stock against declared measurements during goods receipt to catch mismatches early.

Quality control and metrics to evaluate effectiveness

Measure the impact of your size chart using these KPIs:

• Return rate for "wrong size" — track changes after publishing or updating the chart.
• Conversion by size-filtered traffic — compare conversion for cards with full charts vs without.
• Customer questions volume — monitor chat/ticket reductions related to sizing.
• Average order value and repeat purchases — accurate sizing increases customer satisfaction and repeat buying.

Workflow for continuous improvement:

1. Collect data on returns and feedback related to fit.
2. Perform sample re-measurements of random batches.
3. Adjust ranges and allowances based on observed discrepancies.
4. Track metrics over time to validate improvements before rolling out changes broadly.

Implement these practices consistently across your Kaspi.kz assortment to reduce returns, increase conversion and improve operational efficiency.