Data & Transparency

How We Collect Pakistani Fashion Price Data

Every price figure published on TrendCompare comes from the same pipeline described on this page. We publish the method so that journalists, researchers and readers can judge the numbers for themselves — and so that anyone quoting us knows exactly what they are quoting.

Last data refresh: 17 August 2026 · continuous collection since 13 March 2026

1. Where the data comes from

All prices are read from the public product pages of each brand's own website. We do not use resellers, marketplaces, aggregators or third-party price feeds. This matters: a reseller can set any price it likes, so a figure taken from one tells you nothing about what the brand charges. Every number we publish is the brand's own asking price at the moment we recorded it.

Three collection methods are used, chosen by what each site runs on. Most brands publish a structured product feed that we read directly. Three sites render prices only in the browser, so those are collected with a headless browser that loads the page the way a shopper would. One multi-designer marketplace uses a bespoke reader. The method does not change the figure — in every case it is the price shown on the brand's page.

2. What is covered

22 Pakistani fashion brands, listed in full below. Coverage includes womenswear, menswear and kidswear across unstitched fabric, ready-to-wear, formal and wedding wear, western wear, footwear, bags, jewellery and home textiles.

The current in-stock sample splits as 150,197 women's, 16,149 men's and 9,713 kids' items. That imbalance is a property of the Pakistani market, not a sampling choice — these brands simply list far more womenswear.

3. How often prices are checked

Every tracked product is re-checked on an hourly cycle. When a price differs from the last reading, both the old and new values are written to a price-history record with a timestamp. That history now holds 646,405 recorded price changes going back to 13 March 2026. This record is what lets us say whether a discount is real rather than simply repeating what a banner claims.

A live view of collection health — including how recently each brand was last read — is public at trendcompare.pk/status.

4. How we verify discounts

A discount is only meaningful if the “was” price was ever a real selling price. Some listings carry anchors so high that the implied discount cannot be genuine. We therefore discard any anchor more than three times the current price before computing any discount statistic.

The three-times rule is deliberately conservative. It removes only anchors that are clearly untenable and will still let some inflated pricing through. It is a floor on honesty, not a guarantee of it.

5. How the figures are calculated

• Median is our default measure for “typical” price. Fashion catalogues contain a few very expensive bridal pieces that drag an average upward and misrepresent what a normal item costs; the median is not affected by them.
• Averages are published only alongside a median, never instead of one.
• In-stock only. Price statistics exclude sold-out items, since a price you cannot buy at is not a market price.
• Sample size is always stated. Any figure published without the number of products behind it should be treated as incomplete, including by us.
• Prices are in Pakistani rupees, as listed, inclusive of whatever taxes the brand includes in its displayed price. Delivery is excluded.

6. Known limitations

These are the things our data cannot tell you. We would rather state them than have a reader discover them.

• Online and branded only. Offline retail, custom tailoring, wholesale markets and unbranded bazaar clothing are outside our coverage. Much of Pakistan's clothing spend happens in exactly those places.
• Listed prices, not transaction prices. We record what is asked, not what is finally paid after a coupon, a bundle or an in-store negotiation.
• Fabric is detected, not declared. Fabric is inferred from product names, tags and descriptions, so coverage is partial — currently 56,388 of 176,059 in-stock items (32%). Fabric-based statistics describe the items where fabric could be identified, not the whole catalogue.
• Category is classified automatically. Products are sorted into categories by rule, and rules misfire on unusual listings.
• Collection can lag. If a brand's site is down or changes structure, that brand's data can go stale until the reader is repaired. Current freshness for every brand is shown on the status page.
• History begins 13 March 2026. We cannot make year-over-year claims that predate our own records, and we do not.

7. Corrections

If a figure we publish is wrong, we want to know and we will fix it. Email [email protected] with the page and the figure in question. Corrections to a published statistic are made on the page itself and noted with the date. We do not quietly change a number that has been cited elsewhere without marking the change.

Brands who believe their data is being represented incorrectly can write to the same address. We will re-check the collection for that brand and correct it if we are wrong — but we do not remove accurate price data on request.

8. How to cite this data

TrendCompare data may be quoted freely, including commercially, with attribution. Because prices change hourly, always include the date of the figure you are quoting.

Journalists and researchers who need a custom cut of the data, a chart, or a dataset for a specific question can email [email protected]. We provide this free and do not ask for a link in return.

9. Who is behind this

TrendCompare is built and edited by Seerat Fatima, its founder. Editorial decisions, published statistics and corrections are her responsibility. We take no payment from any tracked brand in exchange for coverage, ranking or favourable framing, and no brand sees a figure before it is published.

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