Data On Demand, one-stop data solution
Markets Local sources. Your time zone.

Teams in five regions rely on us for local-language, multi-currency data.

Global coverage
Company A decade of data expertise.

An in-house team of 20+ engineers and analysts serving clients in 12+ countries.

About us
Data type

Competitor prices, matched to your own catalogue.

Raw prices are of little use until they are matched to your products and normalised. We collect list, sale and delivered prices from marketplaces and retailer sites, match them to your SKUs and deliver a like-for-like comparison per market.

The challenge

Price comparisons break down when pack sizes differ, sellers bundle items or the same product appears under several titles. Manual checks cover a handful of lines and miss the long tail where margin often leaks.

With Data On Demand

You see how your prices sit against each competitor, product by product and market by market. Unit-price normalisation and match confidence make the comparison defensible in pricing reviews.

What’s included

Everything needed to run it in production.

01

Price components

List price, sale price, unit price, shipping or delivery cost and any member or subscription price where displayed.

02

Product matching

Competitor listings are matched to your SKUs using identifiers such as GTIN or model number, plus title and attribute similarity.

03

Pack-size normalisation

Prices are converted to per-unit, per-kg or per-litre values so different pack sizes compare fairly.

04

Multi-currency handling

Prices are kept in local currency and can be converted to a reporting currency at a daily reference rate.

05

Seller context

For marketplaces, the seller offering the price and whether it holds the featured offer are recorded.

06

Price history

Every capture is stored so you can chart movements, detect patterns and measure competitor response times.

Sample output

What lands in your systems.

Typical fields
sku_idmatch_confidencesourcelist_pricesale_priceunit_priceshipping_costcurrency
Matched competitor prices for a consumer electronics range
datesourcemarketproductlist_pricesale_pricecurrencymatch_confidence
2026-04-20Marketplace AUAEWireless earbuds 40h299.00229.00AED0.98
2026-04-20Retailer HSaudi ArabiaWireless earbuds 40h309.00309.00SAR0.97
2026-04-20Marketplace CSingaporeBluetooth speaker 20W99.9079.90SGD0.94
2026-04-20Retailer JSpainBluetooth speaker 20W69.9959.99EUR0.95
2026-04-20Marketplace BBrazilSmart TV 55" 4K3,499.002,899.00BRL0.92

Illustrative rows. Your schema, field names and formats are agreed during scoping.

Use cases by team

Who uses it, and for what.

Pricing teams set price-position targets against named competitors and monitor compliance daily. Exceptions are flagged where the gap exceeds the agreed band.

How it runs
  1. Scope. Tell us the sources, fields and frequency. We confirm feasibility within a day.
  2. Free sample. A real sample from your own target source, in your format.
  3. Build. Engineers build extractors tuned to each source. No generic templates.
  4. Validate. Automated and manual QA on every run before anything ships.
  5. Deliver and monitor. Scheduled delivery, monitored pipelines, fast fixes when sites change.
How we work
FAQ

Questions about pricing & product data

Can’t find your answer? Ask an engineer

How do you match competitor products to ours?

We use identifiers such as GTIN, MPN or model number where available, then title, brand and attribute similarity. Each match carries a confidence score, and uncertain matches are reviewed manually.

Do you capture delivered price or just the shelf price?

Both where the site shows them. We record shipping or delivery fees separately so you can compare shelf price and total cost to the customer.

Can prices be converted to one currency?

Yes. We keep the local currency value and can add a converted value at a daily reference rate, so cross-market comparisons are consistent.

How many competitors can we monitor?

There is no fixed limit. Cost scales with the number of sources, products and refresh frequency, so we help you prioritise the competitors and lines that matter most.

Start with proof

See your own data before you commit.

Name the sources and fields you need. Within 24–48 hours you receive a real sample from your target sites, in your format, free of charge.

Request a free sample Talk to a data engineer Sample in 24–48 hours · NDA on request · Any format, any schedule