Food Delivery Dashboard: 10 KPIs to Track on DoorDash, Uber Eats, and Grubhub (2027)
A Swiggy and Zomato dashboard shows how your prices, offers, and ratings compare with rivals’, pincode by pincode. So instead of checking two apps across dozens of localities, you see every area in one view.
Both apps are still growing fast, too. In the July to September 2026 quarter, Zomato’s food delivery order value rose 21.5%. Meanwhile, Swiggy’s food delivery GOV rose 17.7% to ₹10,054 crore.
This guide covers the restaurant KPIs to track by pincode, the data behind them, and how to build the dashboard.
| KPI | What it shows by pincode |
|---|---|
| 1. App markup | App price against your dine-in or own-site price |
| 2. Competitor price index | Your price against the local rival average |
| 3. Swiggy vs Zomato price gap | The same item’s price on each app |
| 4. Customer charges | Delivery, platform and packaging charges |
| 5. Basket cost | What a diner pays for a set order, including charges |
| 6. Offer share and depth | How often and how deeply rivals discount |
| 7. Delivery rating | Rating and rating count over time |
| 8. Serviceability | Whether each outlet delivers there, and when it’s open |
| 9. Delivery time | Quoted delivery time at lunch and dinner peaks |
| 10. Cuisine mix | Restaurants per cuisine, so you can spot gaps |
What Is a Swiggy and Zomato Dashboard?
A Swiggy and Zomato dashboard brings public app data into one report, usually in Power BI, Tableau or Looker Studio. It tracks menus, prices, charges, offers, and ratings for your outlets and your rivals.
Your partner dashboards on each app show your own orders and payouts. However, they don’t show what rivals charge or promote nearby. By contrast, market data shows the whole local picture.
Why Pincode Matters
City averages hide big local gaps. For example, a biryani chain may lead in one Bengaluru locality but trail in another. In addition, delivery charges, offers, and delivery times change with distance from each outlet.
So a Swiggy and Zomato dashboard works best at pincode level. That way, every KPI matches the area a restaurant actually serves.
For menu price trends on one app, see our Swiggy data analytics guide.
Why Pincode KPIs Matter in 2027
Food delivery in India is changing quickly. For example:
- Order value keeps rising: in Q2 FY27, Zomato’s food delivery net order value rose 21.5% to ₹11,445 crore. Similarly, Swiggy’s food delivery GOV rose 17.7% to ₹10,054 crore.
- Platform fees are higher: in March 2026, Swiggy raised its platform fee to ₹17.58 per order, including GST. This followed Zomato’s rise to ₹14.90 before GST.
- Delivery now carries GST: since 22 September 2025, 18% GST applies to local delivery through apps like Swiggy and Zomato.
- Price parity has gone: in April 2026, Zomato dropped its price parity clause. As a result, restaurants can set app prices independently of dine-in prices.
- Speed varies by area: Swiggy’s Bolt delivers from a curated menu within 2 km, across 500+ cities. Meanwhile, Zomato shut its 10-minute service.
As a result, prices, charges, and delivery options now differ more from one pincode to the next. So a Swiggy and Zomato dashboard needs fresh, local data.
Swiggy and Zomato Dashboard KPIs 1–5: Prices and Charges
These five KPIs form the core of any Swiggy and Zomato dashboard.
1. App Markup
App markup compares each item’s app price with your dine-in or own-site price. For example, a ₹300 thali listed at ₹330 on an app has a 10% markup. In fact, a 2022 Jefferies survey found app prices were about 10% higher on average.
2. Competitor Price Index
Next, compare your price with the average rival price for matched items in each pincode. An index of 108 means you’re 8% above local rivals. So you can see where you’re priced out, locality by locality.
3. Swiggy vs Zomato Price Gap
The same dish can cost more on one app than the other. So track each item on both apps side by side. Then you can spot rivals who quietly price lower on one platform.
4. Customer Charges
Diners pay delivery, platform, and packaging charges, plus GST. However, delivery charges often change with distance and demand. So record charges for fixed test addresses in each pincode, at the same times each day.
5. Basket Cost
Basket cost adds menu prices and charges for a fixed order, such as a biryani, a starter, and a drink. Unlike menu price alone, it shows what a diner really pays. For instance, a rival with lower prices but higher packaging charges may still cost more.
Swiggy and Zomato Dashboard KPIs 6–10: Offers, Ratings and Service
Beyond price, these five KPIs complete your Swiggy and Zomato dashboard.
6. Offer Share and Depth
Offer share is the share of rival outlets running a discount in each pincode. Meanwhile, offer depth is the average saving, such as “Flat ₹100 off” or “50% off up to ₹100”. Together, they show where rivals are buying orders with discounts.
7. Delivery Rating
Track each outlet’s delivery rating and rating count on both apps, then plot them over time. A drop of 0.2 in a month is an early warning. In addition, compare your ratings with nearby rivals’, not just with your own history.
8. Serviceability
Serviceability shows whether an outlet delivers to a pincode and whether it’s open at peak hours. Outlets that go offline at dinner lose orders to rivals. Also, track which outlets appear on fast-delivery options, such as Swiggy Bolt.
9. Delivery Time
Track the quoted delivery time for each outlet and pincode. Then compare lunch and dinner peaks, because rain and traffic can change times quickly.
10. Cuisine Mix
Finally, count restaurants per cuisine in each pincode. A locality with many biryani outlets but few healthy-bowl outlets may show a gap. For a worked example, see how Swiggy data maps cuisine gaps.
The Data You Need for a Swiggy and Zomato Dashboard
Each KPI on a Swiggy and Zomato dashboard needs specific fields:
| Field group | Example fields |
|---|---|
| Outlet | Restaurant name, outlet ID and locality, as well as pincode and coordinates |
| Menu | Item name, category and size, along with veg or non-veg tag |
| Price | Menu price and offer price, plus your dine-in price |
| Charges | Delivery, platform and packaging charges, where shown |
| Offers | Offer text, discount and minimum order |
| Ratings | Delivery rating and rating count |
| Service | Open status, serviceability and quoted delivery time |
| Metadata | App, test address and capture time |
How to Set Up Pincodes
First, list the pincodes your outlets serve, along with your rivals’ key areas. Then pick one or two fixed test addresses inside each pincode. In addition, capture data at the same times each day, such as 1 pm and 8 pm.
Large pincodes may need more than one test address. Otherwise, distance alone can skew charges and delivery times.
How to Build a Swiggy and Zomato Dashboard
Follow these steps to build a Swiggy and Zomato dashboard that refreshes on its own:
- Pick pincodes and rivals: choose your key pincodes, then list 5 to 10 rivals in each.
- Collect data daily: capture menus, prices, charges, offers, ratings, and delivery times from both apps.
- Fix test addresses: use the same addresses and test baskets, so charges compare fairly.
- Match items: link rival dishes to yours by name, size, and category.
- Model the data: use fact tables for prices, charges and ratings, plus lookup tables for outlets, pincodes, apps and dates.
- Build four pages: a pincode map, prices and charges, offers, and ratings and service.
- Set refresh and alerts: refresh daily, then alert on price cuts, new offers, and rating drops.
For the map in your Swiggy and Zomato dashboard, plot each test address by its coordinates. Alternatively, load a pincode boundary file. Then colour each pincode by price index, offer share, or delivery time.
Common Mistakes to Avoid
- Using city averages: they hide gaps between localities, so always filter by pincode.
- Mixing member and non-member views: Swiggy One and Zomato Gold members can see different charges.
- Ignoring packaging charges: they vary by restaurant and can change basket cost a lot.
- Checking once a day only: peak-hour serviceability needs lunch and dinner captures.
- Comparing unmatched dishes: a half plate and a full plate aren’t the same product.
How FoodSpark Delivers Swiggy and Zomato Data
FoodSpark collects public restaurant data from Swiggy and Zomato, outlet by outlet. Here’s what you get:
- Fields: menus, prices, offers, charges, ratings, and delivery times, where shown publicly.
- Location: by city, locality, and pincode.
- Refresh: real-time, daily, weekly, or on a custom schedule.
- Delivery: JSON, CSV, Excel or XML, through
our API or pushed to your database or cloud storage. - Free sample: 100 rows in CSV or JSON, so you can test your Swiggy and Zomato dashboard first.
See our Swiggy data scraping and Zomato data scraping services. Alternatively, explore our food data API.
We collect public data only, with no personal user data, payment information, or non-public content. So we don’t use diner accounts or memberships, and charges reflect the non-member view. Still, review each platform’s terms with your legal team.
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