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Navratri Mega Sale Price Tracking

Introduction

TL;DR: Actowiz compared 25,000+ identical menu items from 1,200 restaurants listed on both Swiggy and Zomato across 10 Indian cities. Findings: the same dish is priced differently on the two apps for 38% of items, platform fees and delivery charges — not menu prices — create the biggest checkout gap, and surge patterns differ sharply by city and meal slot.

The Question Every Restaurant & Brand Asks

Navratri Mega Sale Price Tracking

India's food delivery duopoly means most restaurants list on both apps — but the checkout price a customer sees is rarely identical. Menu markups, packaging charges, delivery fees, platform fees, and surge multipliers all stack differently. We scraped both platforms to quantify exactly where the gap comes from.

Methodology

Parameter Coverage
Platforms Swiggy, Zomato
Cities Delhi NCR, Mumbai, Bengaluru, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad, Jaipur, Lucknow
Restaurants matched on both apps 1,200
Identical menu items compared 25,000+
Capture windows Lunch (12–2), evening (6–8), late night (10–12), across 45 days
Fields Item price, packaging charge, delivery fee, platform fee, discounts, ETA, ratings

Items were matched by restaurant + normalized item name + portion size; mismatches were excluded after validation.

Finding 1: Same Dish, Different Price

For 38% of matched items, the listed menu price differed between apps — typically by ₹5–20. Patterns we observed:

  • Differences cluster in chains and cloud kitchens, which run platform-specific pricing strategies.
  • Zomato/Swiggy listed the higher menu price slightly more often (X% vs Y% of differing items).
  • Identical pricing dominated in independent restaurants, which usually upload one menu to both.

Finding 2: Fees Decide the Real Winner

Menu price tells half the story. On a standardized ₹400 order, the full checkout stack compared as:

Cost component Swiggy (avg) Zomato (avg)
Delivery fee ₹XX ₹XX
Platform fee ₹X ₹X
Packaging ₹XX ₹XX
Effective checkout gap ±₹XX (X%)

Key insight: platform fees changed 12 times during our 45-day window — fee experimentation is continuous, and only ongoing monitoring catches it.

Finding 3: Surge & ETA Patterns by City

  • Delivery-fee surges peaked during weekend dinners and rain events, with Bengaluru and Mumbai showing the highest surge frequency.
  • Quoted ETAs averaged 8 minutes on Swiggy vs Y on Zomato for the same restaurants; gaps widened in traffic-dense zones.
  • Late-night slots showed higher fees but faster ETAs, reflecting thinner order volume.

What You Can Do With This Data

  • Restaurants & cloud kitchens: detect where your own items are mispriced between apps; benchmark fees passed to your customers.
  • F&B brands & aggregators: track competitor menu pricing and discount depth city by city.
  • Analysts: model take-rates and fee experiments from observed checkout stacks — weeks before they appear in earnings commentary.
Get Swiggy & Zomato Menu Data
Request a Sample

FAQs

How do you match the "same" item across Swiggy and Zomato?

We match restaurant identity first, then normalize item names and portion sizes (e.g., "Paneer Butter Masala – Half") before comparison. Ambiguous matches are excluded, so reported gaps come from verified identical items.

Which app is cheaper overall — Swiggy or Zomato?

Neither is uniformly cheaper. Menu prices are close; the checkout difference is driven by delivery and platform fees, which vary by city, time slot, and ongoing fee experiments. City-level data is the only reliable answer.

Can I get this data for my restaurant chain or city?

Yes — we deliver matched-menu datasets and ongoing monitoring for any city list, restaurant set, or competitor group, with alerts on price and fee changes.

Do you also cover Zomato's quick formats and Swiggy Instamart?

Yes — Instamart, Blinkit (Zomato group), and grocery quick commerce are covered under our quick commerce datasets; see the linked tracker and case study.

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