Focused on the in-store and online retail environment, this dataset tracks how retailers promote products across categories, from discounts and bundles to shelf placement and campaign duration.

It offers granular insights into how retail dynamics influence consumer choices and brand performance at the point of sale.

Data Refresh — Monthly, published 7 days after month end.

Data Sourcing — Primary sources are retailers’ weekly deal sheets and any other promotions announced or discussed online. These are supplemented with sample-based in-store checks to validate and enrich the dataset.

Scope and Focus — This dataset focuses on deals, discounts and promotions primarily led by retailers. Some of these promotions may be done in collaboration with brands; emphasis is on ensuring they are captured regardless of whether they are retailer-only or co-led. Data is captured for key retailers across covered markets and does not extend to small chains or individual independent retailers.

Labelling and Classification — Each promotion is classified and labelled to a promotion type based on disclosed mechanics. All labelling is done on a best-effort basis based on publicly observable information. SKU details, discounted pricing and promotion mechanics are also captured on the same basis. The current promotion types are:

• % Discount — Reduces the original price by a specified percentage (e.g. 20% off).
• $ Discount — Reduces the original price by a fixed monetary amount (e.g. $5 off).
• Cashback — An automatic or digital credit returned to the customer after the sale, often through a third-party app or credit card.
• Rebate — A retroactive discount requiring post-purchase action (e.g. receipt submission, mail-in form) to receive money back.
• Bundle Deal — A special price for purchasing a specific set of multiple items together.
• Buy One Get One — A second identical or similar item is received free with purchase (BOGO).
• Purchase With Purchase — A secondary item offered at a discount only after purchasing a primary product or meeting a spend threshold.
• Gift With Purchase — A complimentary item (e.g. gift, collectible toy, deluxe sample) given when a specific purchase or spend threshold is met. Covers “Free Gift”.
• Free Sample — A small trial-size product provided at no cost to encourage first-time use, often without a purchase requirement.
• Bonus Pack — A larger quantity of the same product for the standard price (e.g. “25% extra free”).
• Loyalty Program — Rewards repeat customers through a points-based mechanism. Covers “Gamification Points”.
• Gamification Lucky Draw — A contest where customers enter for a chance to win a prize via random drawing; entry may require purchase.
• Gamification Sure Win — Every participant is guaranteed to win a prize, however small.
• Gamification UGC — A contest encouraging customers to create and submit their own content (photo, video, review) to win a prize.
• Referral Program — Rewards existing customers for bringing in new customers.
• Feedback — An incentive offered in direct exchange for providing reviews or completing surveys.
• Flash Sale — A significant discount or offer lasting a very limited time to create urgency.
• In Store Demonstration — Allows customers to physically try or experience a product in a retail environment.
• Point Of Purchase — Physical marketing materials placed at the location of sale to influence an immediate buying decision.

Methodology — Because the primary source of data is the retailer’s online or in-store execution, not every brand and SKU may be captured. Coverage is dependent on the visibility of the promotion at the point of collection. Promotions that are not publicly listed, poorly publicised, or restricted behind retailer platforms may not appear in the dataset.

Data Limitations and Caveats — Given the data capture methodology, this dataset is aimed at providing a representative mix of promotions and promotion types and may not be 100% comprehensive. The dataset may not capture promotions that are not well publicised, lack online presence, or where retailer websites exercise heavy blocking.