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
Pricing and promotions

Every competitor promotion, recorded with its mechanics.

Promotions are harder to track than prices because the mechanic matters as much as the number. We capture discount depth, offer type, conditions and duration, so you can see how competitors use promotions across a season.

How it works

Four steps from sources to signal.

STEP 01

Map promotional surfaces

We identify where offers appear for each competitor: product pages, deal hubs, banners, app-only sections and coupon areas. Seasonal event pages such as Ramadan, Black Friday or 11.11 are added to the calendar.

STEP 02

Capture offers and conditions

Collectors record the offer text, the price before and after, minimum spend, limits and eligibility, alongside screenshots where evidence is useful.

STEP 03

Classify the mechanic

Each promotion is normalised into a standard taxonomy, such as percentage off, fixed amount, multibuy, gift with purchase, bundle or coupon, so offers compare across retailers.

STEP 04

Track the lifecycle

We log first seen and last seen dates for each promotion, giving duration, frequency and overlap with your own campaigns.

Data points

What we capture.

Every field is validated, normalised and documented in a data dictionary you can share with your analysts.

Promotion mechanic

Standardised offer type, for example multibuy or coupon.

Discount depth

Effective percentage saving calculated from the before and after price.

Offer conditions

Minimum spend, quantity limits, member-only or payment-card requirements.

First and last seen

Dates that bound the promotion's live period.

Placement

Where the offer appeared, such as homepage banner, deal page or product page.

Evidence capture

Screenshot or page snapshot for audit and internal review.

Deliverables

What you receive.

  • Weekly promotion calendar by competitor and category
  • Discount depth summary per sale event
  • Alert when a competitor launches a promotion on a priority SKU
  • Mechanic mix report comparing competitors over time
  • Screenshot archive for each captured offer
Built for
Trade marketing
Category and promotions planning
Pricing
Key account management
Sample output

An illustrative extract.

Competitor promotions captured in personal care, April 2026
ProductMarketSourceMechanicDepthFirst seenLast seen
Shampoo 400mlSaudi ArabiaRetailer ABuy 2 get 1 free33%2026-04-022026-04-15
Body lotion 250mlMalaysiaMarketplace BVoucher MYR 10 off22%2026-04-042026-04-06
Electric toothbrushUnited StatesRetailer CPercentage off30%2026-04-072026-04-21
Sunscreen SPF50 200mlSpainRetailer DSecond unit half price25%2026-04-102026-04-30
Deodorant 150ml x3BrazilMarketplace EBundle price18%2026-04-122026-04-26

Illustrative rows. Sources, markets and fields are agreed with you during scoping.

FAQ

Questions about promotion tracking

Can’t find your answer? Ask an engineer

Can you capture app-only and member-only offers?

Yes, where the offers are publicly visible to a standard user. We collect from mobile apps and logged-out web views, and record the eligibility condition so these offers are not confused with general promotions.

How do you calculate discount depth for multibuy offers?

We convert each mechanic to an effective per-unit saving. For example, buy two get one free is recorded as a 33% effective discount, with the original mechanic kept alongside for context.

Do you keep evidence of each promotion?

We can store a screenshot or page snapshot for every captured offer. This is useful for internal reviews and for conversations with retail partners about promotional parity.

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