Quick commerce offers in India change by app, by category, and even by pincode. For FMCG brands, they show how deeply apps discount your products and your rivals’. So tracking them pincode by pincode reveals the price shoppers really pay.

Discounts are still deep, too. In a September 2026 basket check, Jefferies found average discounts of about 15% across apps. In personal care, the average was about 29%.

This guide explains the main offer types and why they vary by pincode. It also covers the fields, metrics, and steps to track quick commerce offers at scale.

Why Quick Commerce Offers Matter in India Now

Quick commerce keeps expanding. For example, Blinkit added 308 stores in the July–September 2026 quarter, reaching 2,751 stores. Meanwhile, Zepto’s revenue more than doubled to ₹22,624 crore in FY26, although its losses widened to ₹5,905 crore.

Discounts Are Moderating, Not Disappearing

In September 2026, Jefferies ran a mystery-shopping basket check in Bengaluru. According to Trak.in’s report on it:

• Average discount: about 15% on a grocery basket, ranging from 12% to 19% by app.
• By category: personal care averaged about 29%, while staples and packaged food were about 17%. By contrast, dairy was only about 3%.
• Zepto: it still discounted most, at about 19%. However, it raised its free-delivery threshold from ₹99 to ₹199 earlier in 2026.
• Amazon Now: it raised the minimum spend on some cashback offers by 7% to 25%.
• Blinkit and Instamart: their discounts have stayed at about 14% to 16% since March.

Note, however, that the check excluded checkout coupons and cashback.

Regulators are watching as well. For instance, the CCPA fined Zepto ₹7 lakh over fees added at checkout. In addition, a distributors’ body complained to the CCI in 2025 about deep discounting on quick commerce apps.

As a result, brands need to track quick commerce offers continuously, not once a quarter.

Types of Quick Commerce Offers on Blinkit, Zepto and Instamart

Apps often stack several quick commerce offers on the same product. So capture each one separately:

For example, when Swiggy Instamart launched MaxxSaver in 2025, it applied extra discounts once a cart passed ₹1,000. Zepto’s SuperSaver, by contrast, was opt-in.

Fees Change the Real Offer

In fact, fees can cancel out a discount. In November 2025, for instance, Zepto scrapped handling, rain and surge fees. At the time, Blinkit charged a ₹4 handling fee and a ₹20 small-cart fee. Meanwhile, Instamart charged ₹9.8 for handling and ₹15 for small carts.

Then, in 2026, Zepto raised its free-delivery threshold to ₹199. So the total a shopper pays can shift even when the item price doesn’t.

Why Quick Commerce Offers Differ by Pincode

Quick commerce runs on nearby dark stores. So stock, range, and offers depend on which store serves the pincode. That’s why one city can show many different prices:

• Different dark stores: each pincode maps to one or more nearby stores, each with its own stock.
• City-level gaps: in early 2025, MediaNama found Zepto’s whole wheat flour cost ₹66 more in Bengaluru than elsewhere.
• Device gaps: the same check found that prices differed between iOS and Android on most apps.
• Time-based fees: surge and rain fees can apply at busy times or in bad weather.
• Serviceability: not every app serves every pincode, especially in tier 2 cities.

So a single city-level price hides real gaps in quick commerce offers. Instead, track a fixed address point in each pincode, on the same device type each time.

What Quick Commerce Offers Data Includes

Good quick commerce offers data ties every deal to a product, a place, and a time. For example:

Sample Quick Commerce Offers Record

Below, for example, is an illustrative record. In practice, fields depend on what each app shows.

{
  "app": "Example App",
  "city": "Bengaluru",
  "pincode": "560034",
  "captured_at": "2026-10-28T19:00:00+05:30",
  "product_name": "Example Brand Tea 500 g",
  "mrp": 320,
  "selling_price": 279,
  "discount_pct": 12.8,
  "offer_text": "Extra ₹25 off on carts above ₹999",
  "handling_fee": 0
}

How to Track Quick Commerce Offers by Pincode

Here’s a simple process that works for most brands:

1. Pick your SKUs and rivals. Start with your top sellers, as well as the closest competing SKUs.
2. Choose apps. Begin with Blinkit, Zepto, and Instamart, then add Flipkart Minutes, BB Now, Amazon Now or JioMart.
3. Select pincodes. Mix premium, mid-market, and newer areas in each city.
4. Fix an address point. Use one per pincode, so every check hits the same dark store.
5. Set the refresh. Daily suits most brands, while hourly helps during sales and festivals.
6. Match products. Pack sizes and variant names differ across apps, so match them carefully.
7. Work out the effective price. Add fees and subtract cart deals for a fixed basket.
8. Flag changes. Alert teams to new offers, deeper discounts, and any price above MRP.

In short, the effective price matters more than the headline discount. For example, on a ₹300 cart, 20% off plus a ₹30 fee costs more than 15% off with free delivery.

For a worked comparison, see our Blinkit vs Zepto vs Instamart price benchmarking guide. Alternatively, read our Blinkit price tracking guide for daily price history.

Who Uses Quick Commerce Offers Data

Several teams rely on quick commerce offers data, for example:

• FMCG brands: check discount depth on their SKUs against rivals, pincode by pincode.
• D2C brands: see where bigger brands’ deals price them out of key areas.
• Distributors and sales teams: measure price gaps between quick commerce and local shops.
• Retailers: benchmark their own prices and offers against the apps.
• Investors and analysts: follow discount intensity by app over time.

Metrics to Watch

Then turn the raw offers into a few clear metrics:

• Discount depth: the gap between MRP and selling price, by SKU and pincode.
• Offer frequency: how often each SKU is on deal across a month.
• Effective price: the selling price plus fees, minus cart deals.
• App price gap: the difference for the same SKU on each app.
• Offer coverage: the share of your pincodes where a rival runs a deal.
• Stock-outs during deals: offers that go live while the product is out of stock.

Our quick commerce data intelligence service turns these metrics into dashboards. In addition, it tracks share of shelf and search rank.

How FoodSpark Delivers Quick Commerce Offers Data

FoodSpark collects public quick commerce offers from India’s main apps, pincode by pincode:

• Blinkit API: prices, offers, stock, and fees by pincode.
• Zepto API: similarly, prices, discounts, and availability.
• Instamart API: Swiggy Instamart prices and offers.
• Flipkart Minutes, BigBasket and JioMart: additional apps and online grocers.

Data arrives by REST API, webhook, or files in CSV, JSON, or XML. It can also go straight to AWS S3, BigQuery, Snowflake or Google Sheets. In addition, you can start with a free 100-row sample.

Compliance

We collect public data only, with no personal user data, payment information or non-public content. So we capture member prices only when apps show them publicly. This matters more since India notified its Digital Personal Data Protection Rules in November 2025.

Need several apps in one feed? Then see our quick commerce data scraping service or our grocery data API for India. New to the topic? Start with understanding quick commerce data APIs.

Get Started

Track Quick Commerce Offers in Your Key Pincodes

Tell us your SKUs, cities and pincodes. Then we’ll send a free 100-row sample from Blinkit, Zepto and Instamart.

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Quick Commerce Offers: FAQs

What are quick commerce offers?

They’re the discounts, cart deals, free items, and fee waivers that apps such as Blinkit, Zepto, and Instamart show. Each one can change by product, pincode, and time.

Why do quick commerce offers change by pincode?

Each pincode is served by a nearby dark store with its own stock. In addition, offers and fees can change by time of day.

Which apps can I track?

We cover Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes, BigBasket and JioMart. We can also scope newer apps, such as Amazon Now.

Do you capture MRP and selling price separately?

Yes. We record the MRP, the selling price, and the discount percentage, as each app shows them.

Can you include fees and cart-value offers?

Yes, where apps show them. That way, you can calculate the effective price a shopper actually pays.

How often should I track quick commerce offers?

Daily suits most brands. However, hourly checks help during sales, festivals, and new launches.

Is this an official Blinkit or Zepto API?

No. Instead, FoodSpark is an independent provider. So we collect public data and deliver it through our own API and files.

How much does quick commerce offers data cost?

Overall, it depends on apps, SKUs, pincodes, and refresh. So start with a free 100-row sample, and then get a custom quote.