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Zomato Dashboard in Excel: Restaurant Partner KPIs, Take Rate, Dining-Out, Complaints and Refunds

A food platform earns commission from restaurants. It must watch take rate, dining-out bookings, complaints and refunds. This page gives you a ready Excel dashboard for it. It has 1,500 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.

What you'll learn on this page

  • Why a Zomato-style restaurant partner business needs a dashboard
  • What is inside each sheet of the workbook
  • What the 15 KPIs mean and the formula behind each
  • How the City, Channel and Month drop-downs change every number
  • How to add new data safely
  • Common mistakes and how to avoid them

Download the template: zomato-dashboard-template.xlsx (Excel workbook, 6 sheets, example data).

Example data only

Every number in this workbook is made up for practice. It is not real Zomato data and not an official report. The colours are only inspired by the brand; there is no logo.

Zomato-style restaurant partner dashboard in Excel: 15 KPI cards, 3 drop-down filters, 6 charts and a Top 5 table, with example data

Figure 1. The Dashboard sheet with all filters set to All (example data)

In short

This Zomato-style restaurant partner dashboard shows 1,500 example rows on one screen. Pick a filter and all 15 KPI cards and 6 charts change at once. All data is made up for practice.

1. Why this dashboard, what it shows, how to start

Why

A food platform earns commission from restaurants. It must watch take rate, dining-out bookings, complaints and refunds. Looking at 1,500 rows one by one is slow. A dashboard turns them into a few clear numbers.

What

The dashboard answers questions like these:

  • Orders & bookings: All delivery orders and dining-out bills.
  • Commission earned: Commission charged to restaurants.
  • Dining-out share: Table bookings paid through the app ÷ all transactions.
  • Complaint rate: Orders with any complaint ÷ all orders.

How

  1. Download zomato-dashboard-template.xlsx.
  2. Open it in Excel. Click Enable Editing if Excel asks.
  3. Stay on the first sheet, Dashboard.
  4. Read the 15 cards from left to right, top to bottom.
  5. Then change one drop-down in row 6 and watch the numbers move.

2. What is inside the workbook

Why

Each sheet has one job. When you know the job, you know where to look and what not to touch.

What

Sheet What it holds
Dashboard 15 KPI cards, 3 yellow drop-down filters, 6 charts and a Top 5 table.
Data The example rows, one row per order or dining bill. The last column, Inc, is a formula.
Calc Small helper tables (by month, by city and so on) that feed the charts.
Rules & Instructions How to use it, what each KPI means, data rules, how to add data, do's and don'ts.
Formulas used Every formula in the file, cell by cell, with what it does.
Lists The values shown in each drop-down list.

The Data sheet has these columns: OrderID, Month, City, Restaurant, Cuisine, Channel, Diet, PartySize, OrderValue, CommissionPct, Commission, Packaging, Complaint, Refund, Rating, Review, NewCustomer and Inc.

How

  1. Click each sheet tab at the bottom once.
  2. On Data, press Ctrl+Down to see the last row.
  3. On Rules & Instructions, read section 3 (data rules) before you type anything.
  4. On Formulas used, find any formula you want to learn.

3. The 15 KPIs: what each one means

Why

KPI means Key Performance Indicator: one number that tells you if the business is doing well. A KPI is useful only if everyone reads it the same way.

What

Example values are for all rows (every filter set to All). In the formulas, Data[Column] means that whole column on the Data sheet; in the workbook it is written as a range like Data!$B$2:$B$1501.

KPI What it means Formula (Dashboard cell) Example value
Orders & bookings All delivery orders and dining-out bills. =COUNTIFS(Data[Inc],1)
Dashboard!B9
1,500
Gross order value Total value of all orders and bills (GOV). =SUMIFS(Data[OrderValue],Data[Inc],1)
Dashboard!E9
₹9,10,290
Commission earned Commission charged to restaurants. =SUMIFS(Data[Commission],Data[Inc],1)
Dashboard!H9
₹1,32,420
Take rate How much of each ₹100 ordered the platform keeps. Target rule: card turns green when the value is ≥ 0.14. =IFERROR((SUMIFS(Data[Commission],Data[Inc],1))/(SUMIFS(Data[OrderValue],Data[Inc],1)),0)
Dashboard!K9
14.5%
Dining-out share Table bookings paid through the app ÷ all transactions. =IFERROR((COUNTIFS(Data[Inc],1,Data[Channel],"Dining-out"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N9
21.8%
Avg dining bill Average bill when dining out. =IFERROR(AVERAGEIFS(Data[OrderValue],Data[Inc],1,Data[Channel],"Dining-out"),0)
Dashboard!B13
₹1,408
Avg party size Average guests per dining booking. =IFERROR(AVERAGEIFS(Data[PartySize],Data[Inc],1,Data[Channel],"Dining-out"),0)
Dashboard!E13
3.7 guests
Avg delivery order Average value of a delivery order. =IFERROR(AVERAGEIFS(Data[OrderValue],Data[Inc],1,Data[Channel],"Delivery"),0)
Dashboard!H13
₹384
Complaint rate Orders with any complaint ÷ all orders. Target rule: card turns red when the value is > 0.1. =IFERROR((COUNTIFS(Data[Inc],1,Data[Complaint],"<>None"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!K13
11.7%
Refunds paid ₹ refunded for complaints. =SUMIFS(Data[Refund],Data[Inc],1)
Dashboard!N13
₹23,547
Refund % of GOV Refunds ÷ gross order value. Target rule: card turns red when the value is > 0.015. =IFERROR((SUMIFS(Data[Refund],Data[Inc],1))/(SUMIFS(Data[OrderValue],Data[Inc],1)),0)
Dashboard!B17
2.6%
Avg rating Average rating across all orders. Target rule: card turns green when the value is ≥ 4.0. =IFERROR(AVERAGEIFS(Data[Rating],Data[Inc],1),0)
Dashboard!E17
4.14 ★
Review rate Share of orders where the customer wrote a review. =IFERROR((COUNTIFS(Data[Inc],1,Data[Review],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!H17
24.2%
Veg share Share of orders that were vegetarian. =IFERROR((COUNTIFS(Data[Inc],1,Data[Diet],"Veg"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!K17
47.9%
New customers Share of orders from first-time customers. =IFERROR((COUNTIFS(Data[Inc],1,Data[NewCustomer],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N17
27.1%

How

  1. Read the small grey line under each card: it says what the card counts.
  2. A green card meets its target rule. A red card needs attention.
  3. Click a card and look at the formula bar to see the real formula.
  4. Change a filter, for example City = Pune, and see which cards turn red or green.

4. The drop-down filters

Why

A total for the whole business hides problems. Filters let you look at one City, one Channel or one Month at a time.

What

Row 6 has three yellow cells with drop-down lists: City, Channel and Month. Each list starts with All. The Data sheet has one extra column, Inc (include). Its formula gives 1 when the row matches all three filters, otherwise 0:

=IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",F2=Dashboard!$F$6),OR(Dashboard!$I$6="All",B2=Dashboard!$I$6)),1,0)

Every KPI and chart uses Data[Inc],1 as its first condition, so only matching rows are counted.

How

  1. Click the yellow cell next to City.
  2. Click the small arrow and pick a value.
  3. Look at the line 'Rows in view' to see how many rows match.
  4. Pick All to remove that filter.
  5. Set all three back to All before you save.

5. The charts and the Top 5 table

Why

Numbers tell you how much. Charts show you where and when: which month dropped, which city leads.

What

  • GOV: delivery vs dining-out
  • GOV and commission by cuisine
  • Complaints by type
  • Commission by month, rating line
  • Take rate by city
  • Refund ₹ by complaint type
  • Table: Top 5 partner restaurants by GOV (uses INDEX, MATCH and LARGE)

Each chart reads a small table on the Calc sheet. Those tables also use the Inc column, so the charts follow the filters.

How

  1. Point at a bar or line to see its exact value.
  2. To see where a chart's numbers come from, right-click it and choose Select Data.
  3. Open the Calc sheet and find the table with the same title.
  4. Do not type in Calc; it is all formulas.

6. How to add new data

Why

A dashboard is only useful if you keep feeding it. Adding rows the wrong way breaks totals without any error.

What

Column What it holds Rule
OrderID, Month, City Code, month, city City from Lists
Restaurant, Cuisine Example partner and cuisine Exact spellings
Channel Delivery or Dining-out Exact
Diet, PartySize Veg/Non-veg; guests (dining only) PartySize blank for delivery
OrderValue Bill in ₹ Number
CommissionPct, Commission Example commission rate and ₹ Commission = OrderValue × rate (example rates)
Complaint, Refund Complaint type (None if fine) and ₹ refund Use None, not blank
Rating, Review, NewCustomer Stars, review written, first order Yes/No

How

  1. Go to the first empty row under the Data table.
  2. Type or paste the new rows. Keep the same spelling as the lists (for example Pune).
  3. Check that Inc filled down by itself (it shows 1 or 0).
  4. The formulas read rows 2 to 1501. If your data goes past row 1501, use Find & Replace on the Dashboard and Calc sheets to change 1501 to your new last row.
  5. Press F9 if numbers do not update, then set the filters to All and compare totals.

Use it in 3 steps

1) Open the Dashboard sheet. 2) Pick a value in a yellow cell in row 6, like City = Pune. 3) Read the cards: green is good, red needs attention.

7. Formulas used

This is the same list as the 'Formulas used' sheet. A formula marked 'copied down' is the same in the rows below it.

Cell Formula What it does
Data!R2 =IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",F2=Dashboard!$F$6),OR(Dashboard!$I$6="All",B2=Dashboard!$I$6)),1,0) Inc flag: 1 when the row matches every Dashboard filter (copied down every row)
Dashboard!K6 ="Rows in view: "&TEXT(SUM(Data!$R$2:$R$1501),"#,##0")&" of 1,500 | Yellow cells = drop-down filters" Counts rows in view
Dashboard!B9 =COUNTIFS(Data!$R$2:$R$1501,1) KPI: Orders & bookings
Dashboard!E9 =SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1) KPI: Gross order value
Dashboard!H9 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1) KPI: Commission earned
Dashboard!K9 =IFERROR((SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1))/(SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1)),0) KPI: Take rate
Dashboard!N9 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"Dining-out"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Dining-out share
Dashboard!B13 =IFERROR(AVERAGEIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"Dining-out"),0) KPI: Avg dining bill
Dashboard!E13 =IFERROR(AVERAGEIFS(Data!$H$2:$H$1501,Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"Dining-out"),0) KPI: Avg party size
Dashboard!H13 =IFERROR(AVERAGEIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"Delivery"),0) KPI: Avg delivery order
Dashboard!K13 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$M$2:$M$1501,"<>None"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Complaint rate
Dashboard!N13 =SUMIFS(Data!$N$2:$N$1501,Data!$R$2:$R$1501,1) KPI: Refunds paid
Dashboard!B17 =IFERROR((SUMIFS(Data!$N$2:$N$1501,Data!$R$2:$R$1501,1))/(SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1)),0) KPI: Refund % of GOV
Dashboard!E17 =IFERROR(AVERAGEIFS(Data!$O$2:$O$1501,Data!$R$2:$R$1501,1),0) KPI: Avg rating
Dashboard!H17 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$P$2:$P$1501,"Yes"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Review rate
Dashboard!K17 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$G$2:$G$1501,"Veg"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Veg share
Dashboard!N17 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$Q$2:$Q$1501,"Yes"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: New customers
Calc!B5 =SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$E$2:$E$1501,$A5) By cuisine: GOV for Biryani (copied down)
Calc!C5 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1,Data!$E$2:$E$1501,$A5) By cuisine: Commission for Biryani (copied down)
Calc!B17 =SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,$A17) By channel: GOV for Delivery (copied down)
Calc!C17 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,$A17) By channel: Orders for Delivery (copied down)
Calc!B23 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$M$2:$M$1501,$A23) Complaints by type: Count for Late (copied down)
Calc!C23 =SUMIFS(Data!$N$2:$N$1501,Data!$R$2:$R$1501,1,Data!$M$2:$M$1501,$A23) Complaints by type: Refund for Late (copied down)
Calc!B32 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1,Data!$B$2:$B$1501,$A32) By month: Commission for Jan (copied down)
Calc!C32 =IFERROR(AVERAGEIFS(Data!$O$2:$O$1501,Data!$R$2:$R$1501,1,Data!$B$2:$B$1501,$A32),0) By month: Avg rating for Jan (copied down)
Calc!B42 =IFERROR(SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1,Data!$C$2:$C$1501,$A42)/SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$C$2:$C$1501,$A42),0) By city: Take rate for Pune (copied down)
Calc!C42 =SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$C$2:$C$1501,$A42) By city: GOV for Pune (copied down)
Calc!B52 =SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A52) By restaurant: GOV for Pune Kitchen A (copied down)
Calc!C52 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A52) By restaurant: Orders for Pune Kitchen A (copied down)
Calc!D52 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A52) By restaurant: Commission for Pune Kitchen A (copied down)
Calc!E52 =IFERROR(AVERAGEIFS(Data!$O$2:$O$1501,Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A52),0) By restaurant: Avg rating for Pune Kitchen A (copied down)
Calc!F52 =IFERROR(COUNTIFS(Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A52,Data!$M$2:$M$1501,"<>None"),0) By restaurant: Complaints for Pune Kitchen A (copied down)
Calc!G52 =B52+ROW()/1000000 By restaurant: Rank key for Pune Kitchen A (copied down)
Dashboard!D55 =IFERROR(INDEX(Calc!$A$52:$A$75,MATCH(LARGE(Calc!$G$52:$G$75,$B55),Calc!$G$52:$G$75,0)),"-") Top 5 partner restaurants by GOV: column 'Restaurant' (copied down)
Dashboard!F55 =IFERROR(INDEX(Calc!$B$52:$B$75,MATCH(LARGE(Calc!$G$52:$G$75,$B55),Calc!$G$52:$G$75,0)),"-") Top 5 partner restaurants by GOV: column 'GOV' (copied down)
Dashboard!H55 =IFERROR(INDEX(Calc!$C$52:$C$75,MATCH(LARGE(Calc!$G$52:$G$75,$B55),Calc!$G$52:$G$75,0)),"-") Top 5 partner restaurants by GOV: column 'Orders' (copied down)
Dashboard!J55 =IFERROR(INDEX(Calc!$D$52:$D$75,MATCH(LARGE(Calc!$G$52:$G$75,$B55),Calc!$G$52:$G$75,0)),"-") Top 5 partner restaurants by GOV: column 'Commission' (copied down)
Dashboard!L55 =IFERROR(INDEX(Calc!$E$52:$E$75,MATCH(LARGE(Calc!$G$52:$G$75,$B55),Calc!$G$52:$G$75,0)),"-") Top 5 partner restaurants by GOV: column 'Avg rating' (copied down)
Dashboard!N55 =IFERROR(INDEX(Calc!$F$52:$F$75,MATCH(LARGE(Calc!$G$52:$G$75,$B55),Calc!$G$52:$G$75,0)),"-") Top 5 partner restaurants by GOV: column 'Complaints' (copied down)

8. Common mistakes

Mistake What goes wrong Fix
Typing ₹ or a comma as text in a number cell SUMIFS and AVERAGEIFS skip text, so totals become too small. Type only the number. The cell format adds ₹.
A different spelling, like an extra space after a name The row never matches the City filter or the Calc tables. Copy values from the Lists sheet, or use Data Validation.
Averaging the per-row values to get Take rate An average of averages gives the wrong answer. Divide totals, as the KPI formula does: =IFERROR((SUMIFS(Data[Commission],Data[Inc],1))/(SUMIFS(Data[OrderValue],Data[Inc],1)),0)
Adding rows below row 1501 and not updating the ranges New rows are left out of every KPI. Update the last row number in the formulas (see step 4 above).
Typing over a KPI card or the Inc column The formula is lost and the card stops changing. Press Ctrl+Z, or copy the formula back from the 'Formulas used' sheet.
Showing these numbers as real company results This is example data, not Zomato data. Always say 'example data' when you share a screenshot.

9. FAQ

How do I calculate Take rate in Excel?

How much of each ₹100 ordered the platform keeps. The workbook uses =IFERROR((SUMIFS(Data[Commission],Data[Inc],1))/(SUMIFS(Data[OrderValue],Data[Inc],1)),0) in Dashboard!K9.

How do I calculate Dining-out share in Excel?

Table bookings paid through the app ÷ all transactions. Formula: =IFERROR((COUNTIFS(Data[Inc],1,Data[Channel],"Dining-out"))/(COUNTIFS(Data[Inc],1)),0).

How do the drop-down filters change every KPI?

Each Data row has an Inc formula. It gives 1 when the row matches all three drop-downs (City, Channel, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.

Is this real Zomato data?

No. All 1,500 rows are made up for practice. The colours are only inspired by the brand. It is not an official Zomato report.

Which Excel version do I need?

Excel 2010 or newer works, because the file uses COUNTIFS, SUMIFS, AVERAGEIFS, IFERROR, INDEX and MATCH. We checked it in LibreOffice Calc with zero errors.

10. Practice tasks

  1. Set City = Pune. Write down the new value of Commission earned.
  2. Which group is highest in the chart 'GOV: delivery vs dining-out'?
  3. Add one new row to the Data sheet and check that Orders & bookings changes.
  4. Change one target rule in Conditional Formatting (Home › Conditional Formatting › Manage Rules) and watch the card colour.

Remember

KPI cards, the Calc sheet and the Inc column hold formulas, so never type on them. Add new data only under the Data table, with the same spellings.

Related: all Excel dashboards · Excel dashboards chapter · SUMIFS, COUNTIFS and AVERAGEIFS · KPI cards in Excel

Loading practice tasks...

  1. Distinct groups (Easy): How many different values in B2:B11?
  2. List groups (Easy): Unique list of B2:B11.
  3. Filter names (Easy): Names in A2:A11 where B is "Downtown".
  4. Sum of filtered (Medium): Sum of D2:D11 where B is "Airport", using FILTER.
  5. Count filtered (Medium): Rows where D is above the average of D2:D11.
  6. Sorted values (Medium): D2:D11 sorted largest first.
  7. Top value via SORT (Medium): The largest E2:E11 value using SORT and INDEX.
  8. Second largest (Hard): Second largest D2:D11 using SORT and INDEX.
  9. Numbers 1 to 5 (Hard): A spill of numbers 1 to 5.
  10. Two-condition filter (Hard): Sum of D2:D11 where B is "Downtown" or "Airport".
  11. Names joined (Hard): Names where B is "Downtown", joined with ", ".