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Zomato India: Tracking 1M+ Reviews to Help Chains Improve Menu Pricing
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Overview
In India’s rapidly evolving dining and food delivery market, customer reviews are more than feedback—they’re pricing intelligence.
With millions of active users, Zomato hosts detailed reviews across dine-in and delivery formats. These reviews often contain customer sentiment around price fairness, portion size, value for money, and competitive comparisons.
At Datazivot, we analyzed over 1 million Zomato reviews across 50 Indian cities to help mid-sized and national restaurant chains optimize menu pricing using review-driven intelligence.
Client Profile
Industry: Casual Dining & Delivery-First Restaurant Chains
Platform Focus: Zomato India (dine-in + online delivery)
Review Volume Analyzed: 1,000,000+
Cities Covered: Mumbai, Delhi, Bengaluru, Hyderabad, Pune, Chennai, Ahmedabad, Lucknow, Kolkata, Jaipur, and more
Service Provided: Review scraping, NLP-based sentiment analysis, pricing sentiment clustering, competitor benchmarking
Objective
The restaurant chains wanted to:
Detect menu items priced “too high” based on review sentiment
Map value-perception gaps city-by-city
Adjust pricing for low-margin or over-priced SKUs
Understand if portion-size matched price expectations
Benchmark against nearby restaurants on price-to-value
What Datazivot Analyzed from Zomato Reviews
Sample Data Extracted by Datazivot
*Key Findings from 1M+ Zomato Review Sentiment Analysis
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City-Wise Price Perception Varies
Bengaluru & Chennai were more price-sensitive on single-item meals
Mumbai & Delhi had higher acceptance of premium pricing if portion justified
Tier-2 cities like Lucknow, Indore demanded better combo pricingSpecific Dishes Trigger Value Complaints
“Paneer Tikka,” “Pasta Alfredo,” “Biryani Half” frequently cited as overpriced
Sides like “Extra Mayo,” “Garlic Bread” seen as unjustified add-ons above ₹100Portion Size Comments Strongly Correlate with Star Ratings
Most 2-star reviews included “small quantity,” “not filling,” or “barely enough”
Use Case
National Casual Dining Chain Improves Pricing Strategy :
Client: **SpiceVault India (45-location casual Indian restaurant)
**Challenge: Decline in customer ratings and profit margins after recent menu price hikes
What Datazivot Did:
Scraped 400,000 reviews across Zomato India
Isolated 8 dishes with consistent “overpriced” feedback across cities
Built “Pricing Sentiment Index” per SKU and region
Action Taken:
Reduced prices of 3 underperforming dishes by ₹20–₹40
Introduced new combo offers based on city-specific preferences
Added clearer portion size visuals to menu on Zomato listings
Results:
Average rating increased by 0.6 stars for top 5 affected SKUs
Price-related negative reviews dropped by 41%
18% increase in monthly orders from Tier-2 markets
*Top Keywords Flagged for Pricing Issues
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*City-Level Pricing Benchmark Example: Biryani Dishes
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*Benefits Delivered by Datazivot’s Review-Based Pricing Analysis
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*Why Zomato Reviews Beat Traditional Price Testing
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**Conclusion
**Don’t Guess Menu Prices - Listen to Your Customers
Your customers are already telling you what’s too expensive, what’s worth it, and what they’ll never reorder again.
With Datazivot, Zomato reviews become more than ratings—they become pricing intelligence tools.
Detect overpricing before churn
Refine pricing based on location and SKU sentiment
Improve value perception and boost orders
Strengthen profit margins without sacrificing trust
Want to Optimize Menu Pricing Using Zomato Reviews?
Contact Datazivot for a free pricing sentiment analysis across your Zomato listings—city-wise, dish-wise, and competitor-benchmarked.
Originally published at https://www.datazivot.com/zomato-india-tracking-1m-reviews-improve-chain-menu-pricing.php
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