Quick-commerce shelf

# Discount depth: reading the gap between selling price and MRP

Discount depth is the MRP minus the selling price, divided by the MRP, written as a percentage. A price a quarter below the MRP is a 25% depth. It changes with the pin code, the seller and the day, so record each reading with its MRP, pin code and date.

![](https://rewalto.com/_next/image?url=%2Fbrand%2Fog%2Fguides-discount-depth.png&w=3840&q=75)

In this guide

1. [The definition, in words](#definition)
2. [A worked example from real readings](#example)
3. [Two inputs, both of which can move](#inputs)
4. [What discount depth can and cannot tell you](#what-it-tells)
5. [A sound way to track it](#method)
6. [Using it in retailer and internal conversations](#conversations)
7. [How Rewalto records prices](#rewalto)
8. [Pitfalls when reporting discount depth](#pitfalls)
9. [Where to go next on price against MRP](#go-deeper)
10. [Common questions](#questions)

[Explore commerce data](https://rewalto.com/data/commerce)

By [Varun Mahajan](https://rewalto.com/about), FounderPublished 24 September 2026Last updated 30 October 2026More on [quick commerce](https://rewalto.com/insights/category/quick-commerce)

## The definition, in words

Every packaged product sold in India carries a maximum retail price, the MRP printed on the pack. Shopping apps display a selling price and often the MRP beside it, struck through. Discount depth is the difference between the two, divided by the MRP, and written as a percentage. A product whose selling price equals its MRP has no discount. The further the selling price falls below the MRP, the deeper the discount.

Keep both inputs beside the result: the selling price and the MRP used in the calculation.

This guide is about how to measure the gap. For the short definition, see the glossary entries for [discount depth](https://rewalto.com/glossary/quick-commerce/discount-depth), [MRP](https://rewalto.com/glossary/quick-commerce/mrp) and [selling price](https://rewalto.com/glossary/quick-commerce/selling-price). For why an app’s price differs from the pack, read [why a Blinkit price is not the price](https://rewalto.com/blog/why-a-blinkit-price-is-not-the-price). For evidence, run the free [price parity check](https://rewalto.com/tools/price-parity) or open the [price parity data](https://rewalto.com/data/commerce/price-parity).

## A worked example from real readings

Each row below is one price Rewalto read: one pack, at one pin code, on one day. The depth is the MRP minus the selling price, divided by the MRP.

Discount depth worked out from real price readings, with the pin code and day of each

| App | Product | Pin code | Selling price | MRP | Discount depth | Read on |
| --- | --- | --- | --- | --- | --- | --- |
| Blinkit | MARS Cosmetics Cosmic Hues Nail Paint (24-Flare), 10 ml | 122018 | ₹99 | ₹99 | 0% | 23 October 2026 |
| Zepto | Jovees Herbal Apricot & Almond Face Scrub, 1 pc (100 g) | 560102 | ₹184 | ₹275 | 33% | 23 October 2026 |
| Swiggy Instamart | mCaffeine Coffee Face Wash For Fresh & Glowing Skin, 75 ml x 2 | 411045 | ₹320 | ₹458 | 30% | 23 October 2026 |

The products differ, so these depths are not a ranking of the apps. They show the calculation on real readings, and why each figure needs its MRP, pin code and date beside it. A row at 0% is a pack selling at its MRP that day: no discount. The same pack can carry a different depth at another pin code, or on the same app a day later. Records like these, read daily by pin code, are in the [commerce data](https://rewalto.com/data/commerce).

Source: Rewalto’s free sample of price readings, read from the Rewalto API on 30 October 2026 and kept as saved (copy 7a0695f3aff3).

## Two inputs, both of which can move

The selling price changes with the app, the seller, the pin code and the day. Promotions, bank offers and platform-wide sale events all act on it. A price read at one pin code at one time is a fact about that moment.

The MRP looks fixed, but it is not always consistent. The same product can show different MRPs on different apps, or a different MRP after a pack change, or a stale MRP on an old listing. A discount that looks deep may be a discount from an out-of-date MRP. Because of this, a discount depth figure should always be reported with the MRP it was calculated from, and any disagreement in MRP between apps should be shown as a fact rather than smoothed over.

There is a further trap in comparing across pack sizes. A 500 g pack at a deeper discount is not necessarily cheaper per gram than a 250 g pack at a shallower one. Compare price per unit where the comparison matters, and discount depth where the question is how far a price is being cut.

Column 1

Selling price

Changes with the app, seller, pin code and day.

Column 2

MRP

Looks fixed but can differ between apps, pack changes or a stale listing.

Column 3

Discount depth

MRP minus selling price, divided by MRP. Meaningless without the MRP shown beside it.

Discount depth is only readable alongside the MRP it was calculated from.

## What discount depth can and cannot tell you

It can tell you how aggressively a product is being promoted on an app, how that compares with your rivals' products at the same pin codes, and whether the depth is stable or changing. A brand can use it to check whether a promotion it agreed is showing as agreed, or to see whether a seller is pricing below the level it was expecting.

It cannot tell you who funded the discount. A reduction may come from the brand, the seller or the platform, and the page rarely says which. It cannot tell you whether the discount caused any sales, and it cannot tell you why the price moved. A price record shows what was displayed, and claims about intent go beyond what a capture can support.

See the guide on [price alerts and proof](https://rewalto.com/guides/oos-price-rank-alerts) for what to ask of any system that flags a price against MRP.

## A sound way to track it

Choose a fixed list of products, apps and pin codes. Read selling price and MRP together at a regular time, and keep the readings in one table with the product, pack size, app, pin code and time. Calculate depth per reading. Then look at the pattern: the typical depth per product, how it moves over weeks, and where it differs sharply between pin codes.

Set out clearly what counts as a promotion. A brief dip on a sale day is different from a depth that has crept up and stayed. Look at several weeks before you call something a trend, and mark known events such as platform sale periods so they do not read as a pricing shift.

- Same products, apps and pin codes each time, with price and MRP together.
- Show depth over weeks, and mark sale events on the timeline.

## Using it in retailer and internal conversations

Discount depth is most persuasive when it is specific. A dated record showing that a product carried a given depth at named pin codes on named days gives your account manager something the retailer can check. A general claim that a rival is always cheaper does not.

Internally, it helps to separate two questions. Is the price below the floor you agreed? That is a compliance question, answered by comparing price with your threshold. And how deep are the discounts your category is running? That is a market question, answered by comparing depth across brands. Mixing them leads to muddled decisions.

For the neighbouring measures, see [digital share of shelf](https://rewalto.com/guides/digital-share-of-shelf) and the guide on [private label](https://rewalto.com/guides/private-label-defense), where own-label price gaps are a common concern.

## How Rewalto records prices

Use the [data catalogue](https://rewalto.com/data) to check which price records are available. Review the fields, source details and dates before calculating a discount. Older sample reports illustrate how to present a record; they do not establish current dataset coverage.

A price record shows what was displayed. It cannot establish why the price changed or who funded the discount. Check [Watches](https://rewalto.com/watches) for the current availability of recurring updates.

## Pitfalls when reporting discount depth

Averages hide the story. An average depth across all your products and pin codes can look modest while a handful of products are heavily discounted in one city. Report the spread as well as the typical value, and show the products or locations at either end.

Sale events distort trends. Platform-wide sale periods pull depths up for a short time and then release them. If you compare a sale week with a normal week without saying so, you will read a pricing shift that is really a calendar effect. Mark the events on the timeline and compare like with like.

Bank and coupon offers are not always in the displayed price. A shopper may pay less at checkout than the listing shows, or the listing may show a price that assumes an offer. Be clear about which price you are recording, and say that offers applied at checkout are outside the reading unless the page displays them.

Watch for pack changes. When a brand changes a pack size or a printed MRP, a comparison with the earlier record is no longer like for like. Note the change date and start a new series, so that a fall in depth is not really a new pack with a new MRP.

Finally, do not present depth as a measure of brand health. A deep discount can drive volume, and a shallow one can reflect strong demand. The number is a description of the price on the page. What it means for your business depends on your margins, your promotions and your competitors, and those are yours to judge.

Before sharing a discount chart, open a few of the records behind its largest changes. Confirm that the pack size and MRP are comparable and that a missing price was not treated as zero. Keep checkout offers separate when they depend on a payment method or basket condition. If you exclude a record, note the reason so another analyst can reproduce the calculation.

## Where to go next on price against MRP

To compare one pack across apps, follow [same product, different price across apps](https://rewalto.com/guides/same-product-different-price-across-apps). To see one SKU priced differently store by store, read [price consistency across dark stores](https://rewalto.com/guides/price-consistency-across-dark-stores). To catch a rival’s cut sooner, read [competitor promo lag](https://rewalto.com/guides/competitor-promo-lag), and for sale weeks, [festive sale price tracking](https://rewalto.com/guides/festive-sale-price-tracking).

For the words behind the numbers, see [price gap](https://rewalto.com/glossary/quick-commerce/price-gap) and [price parity](https://rewalto.com/glossary/ecommerce/price-parity). If you need this as a regular check, see [MAP monitoring](https://rewalto.com/solutions/map-monitoring) and [pricing and promotion](https://rewalto.com/solutions/pricing-and-promotion).

## Common questions

### How do I calculate discount percentage from MRP?

Subtract the selling price from the MRP, divide by the MRP and multiply by 100. A price a quarter below the MRP has a discount depth of 25 per cent.

### Why can discount depth differ between pin codes?

Selling prices can vary by location, seller and time, so the same product can show different depths in different places.

### Can discount depth show who funded a discount?

No. A page shows what was displayed, not whether the brand, the seller or the platform paid for it.

### Can I compare discount depth across pack sizes?

Not on its own. A 500 g pack at a deeper discount is not necessarily cheaper per gram than a 250 g pack at a shallower one, so compare price per unit when the question is which is cheaper.

## Start with the question you need to answer

Check the current data catalogue, then review the coverage and dates against your question. The research in an older guide does not establish that a service is available today.

[Explore Rewalto data](https://rewalto.com/)[Explore current data](https://rewalto.com/data)

## Related from the blog

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### Why the price you see on Blinkit is not the price: MRP, pack and pin code

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## Related guides

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Canonical page: https://rewalto.com/guides/discount-depth
Last content change: 2026-10-30
