Paytm Dashboard in Excel: Merchant Payments, Soundbox, Settlement Time and Loan KPIs
A payments company serves shops. It earns fees and device rent, gives loans and must send money to shops quickly. This page gives you a ready Excel dashboard for it. It has 1,208 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.
What you'll learn on this page
- Why a Paytm-style merchant payments 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, Device and Month drop-downs change every number
- How to add new data safely
- Common mistakes and how to avoid them
Download the template: paytm-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 Paytm data and not an official report. The colours are only inspired by the brand; there is no logo.

Figure 1. The Dashboard sheet with all filters set to All (example data)
In short
This Paytm-style merchant payments dashboard shows 1,208 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.
थोडक्यात
हा Paytm-style merchant payments dashboard 1,208 example rows एका screen वर दाखवतो. पिवळ्या drop-down मधून filter निवडा, की सगळी 15 KPI cards आणि 6 charts लगेच बदलतात. सगळा data सरावासाठी काल्पनिक आहे.
संक्षेप में
यह Paytm-style merchant payments dashboard 1,208 example rows एक screen पर दिखाता है. पीले drop-down से filter चुनें, तो सभी 15 KPI cards और 6 charts तुरंत बदल जाते हैं. सारा data अभ्यास के लिए काल्पनिक है.
1. Why this dashboard, what it shows, how to start
Why
A payments company serves shops. It earns fees and device rent, gives loans and must send money to shops quickly. Looking at 1,208 rows one by one is slow. A dashboard turns them into a few clear numbers.
What
The dashboard answers questions like these:
- Merchant-months: Rows in view: one merchant in one month.
- Payments received: Number of payments merchants received.
- Fee income: Merchant fees (example rates: 0.15%, 0.9% on card machines).
- Soundbox merchants: Share of merchant-months using a Soundbox.
How
- Download paytm-dashboard-template.xlsx.
- Open it in Excel. Click Enable Editing if Excel asks.
- Stay on the first sheet, Dashboard.
- Read the 15 cards from left to right, top to bottom.
- 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 merchant per month. 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: MerchantID, Month, City, MerchantType, Device, Payments, GMV, FeeIncome, DeviceRent, Loan, LoanAmount, SettleHours, Disputes, ActiveDays and Inc.
How
- Click each sheet tab at the bottom once.
- On Data, press Ctrl+Down to see the last row.
- On Rules & Instructions, read section 3 (data rules) before you type anything.
- 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$1209.
| KPI | What it means | Formula (Dashboard cell) | Example value |
|---|---|---|---|
| Merchant-months | Rows in view: one merchant in one month. | =COUNTIFS(Data[Inc],1)Dashboard!B9 |
1,208 |
| Merchant GMV | ₹ value customers paid to merchants. | =SUMIFS(Data[GMV],Data[Inc],1)Dashboard!E9 |
₹56,41,74,030 |
| Payments received | Number of payments merchants received. | =SUMIFS(Data[Payments],Data[Inc],1)Dashboard!H9 |
9,89,641 |
| Avg payment | Average ₹ per customer payment. | =IFERROR((SUMIFS(Data[GMV],Data[Inc],1))/(SUMIFS(Data[Payments],Data[Inc],1)),0)Dashboard!K9 |
₹570 |
| Fee income | Merchant fees (example rates: 0.15%, 0.9% on card machines). | =SUMIFS(Data[FeeIncome],Data[Inc],1)Dashboard!N9 |
₹15,45,767 |
| Device rent | Monthly device rent collected (example rents). | =SUMIFS(Data[DeviceRent],Data[Inc],1)Dashboard!B13 |
₹1,71,282 |
| Total revenue | Fee income plus device rent. | =SUMIFS(Data[FeeIncome],Data[Inc],1)+SUMIFS(Data[DeviceRent],Data[Inc],1)Dashboard!E13 |
₹17,17,049 |
| Revenue % of GMV | Total revenue ÷ GMV. | =IFERROR((SUMIFS(Data[FeeIncome],Data[Inc],1)+SUMIFS(Data[DeviceRent],Data[Inc],1))/(SUMIFS(Data[GMV],Data[Inc],1)),0)Dashboard!H13 |
0.30% |
| Soundbox merchants | Share of merchant-months using a Soundbox. | =IFERROR((COUNTIFS(Data[Inc],1,Data[Device],"Soundbox"))/(COUNTIFS(Data[Inc],1)),0)Dashboard!K13 |
41.4% |
| Loan uptake | Share of merchant-months where a business loan was taken. | =IFERROR((COUNTIFS(Data[Inc],1,Data[Loan],"Yes"))/(COUNTIFS(Data[Inc],1)),0)Dashboard!N13 |
5.5% |
| Loans disbursed | Total ₹ of business loans given. | =SUMIFS(Data[LoanAmount],Data[Inc],1)Dashboard!B17 |
₹98,00,000 |
| Avg settlement | Average hours until money reached the merchant's bank. Target rule: card turns red when the value is > 24. | =IFERROR(AVERAGEIFS(Data[SettleHours],Data[Inc],1),0)Dashboard!E17 |
19.0 h |
| Same-day settled | Share of merchant-months settled within 12 hours. Target rule: card turns green when the value is ≥ 0.5. | =IFERROR((COUNTIFS(Data[Inc],1,Data[SettleHours],"<=12"))/(COUNTIFS(Data[Inc],1)),0)Dashboard!H17 |
50.2% |
| Disputes / 10k pays | Disputes for every 10,000 payments. Target rule: card turns red when the value is > 1. | =IFERROR((SUMIFS(Data[Disputes],Data[Inc],1))/(SUMIFS(Data[Payments],Data[Inc],1)),0)*10000Dashboard!K17 |
1.41 |
| Avg active days | Average days in a month the shop received payments. | =IFERROR(AVERAGEIFS(Data[ActiveDays],Data[Inc],1),0)Dashboard!N17 |
24.0 days |
How
- Read the small grey line under each card: it says what the card counts.
- A green card meets its target rule. A red card needs attention.
- Click a card and look at the formula bar to see the real formula.
- 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 Device or one Month at a time.
What
Row 6 has three yellow cells with drop-down lists: City, Device 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$6="All",E2=Dashboard!$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
- Click the yellow cell next to City.
- Click the small arrow and pick a value.
- Look at the line 'Rows in view' to see how many rows match.
- Pick All to remove that filter.
- 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
- GMV by merchant type
- Merchants by device
- Revenue mix by month: fees + rent
- GMV trend
- Loans disbursed by city
- Settlement hours (merchant-months)
- Table: Cities ranked by revenue (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
- Point at a bar or line to see its exact value.
- To see where a chart's numbers come from, right-click it and choose Select Data.
- Open the Calc sheet and find the table with the same title.
- 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 |
|---|---|---|
MerchantID |
Example shop code | Repeats each month |
Month, City, MerchantType |
When, where, shop type | From Lists |
Device |
Soundbox, QR only, Card machine | Exact |
Payments, GMV |
Payments received and their ₹ | Numbers |
FeeIncome, DeviceRent |
Example fee and rent in ₹ | Not official pricing |
Loan, LoanAmount |
Loan taken this month and ₹ | 0 when No |
SettleHours |
Hours to bank | 2/4/12/24/48 |
Disputes, ActiveDays |
Customer disputes; days active | Whole numbers |
How
- Go to the first empty row under the Data table.
- Type or paste the new rows. Keep the same spelling as the lists (for example Pune).
- Check that Inc filled down by itself (it shows 1 or 0).
- The formulas read rows 2 to 1209. If your data goes past row 1209, use Find & Replace on the Dashboard and Calc sheets to change 1209 to your new last row.
- 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.
3 steps मध्ये वापरा
1) Dashboard sheet उघडा. 2) Row 6 मधल्या पिवळ्या cell मध्ये value निवडा, उदा. City = Pune. 3) Cards वाचा: हिरवा म्हणजे चांगलं, लाल म्हणजे लक्ष द्या.
3 steps में इस्तेमाल करें
1) Dashboard sheet खोलें. 2) Row 6 के पीले cell में value चुनें, जैसे City = Pune. 3) Cards पढ़ें: हरा मतलब अच्छा, लाल मतलब ध्यान दें.
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!O2 | =IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",E2=Dashboard!$F$6),OR(Dashboard!$I$6="All",B2=Dashboard!$I$6)),1,0) |
Inc flag: 1 when the row matches every Dashboard filter (copied down every row) |
| Dashboard!K6 | ="Rows in view: "&TEXT(SUM(Data!$O$2:$O$1209),"#,##0")&" of 1,208 | Yellow cells = drop-down filters" |
Counts rows in view |
| Dashboard!B9 | =COUNTIFS(Data!$O$2:$O$1209,1) |
KPI: Merchant-months |
| Dashboard!E9 | =SUMIFS(Data!$G$2:$G$1209,Data!$O$2:$O$1209,1) |
KPI: Merchant GMV |
| Dashboard!H9 | =SUMIFS(Data!$F$2:$F$1209,Data!$O$2:$O$1209,1) |
KPI: Payments received |
| Dashboard!K9 | =IFERROR((SUMIFS(Data!$G$2:$G$1209,Data!$O$2:$O$1209,1))/(SUMIFS(Data!$F$2:$F$1209,Data!$O$2:$O$1209,1)),0) |
KPI: Avg payment |
| Dashboard!N9 | =SUMIFS(Data!$H$2:$H$1209,Data!$O$2:$O$1209,1) |
KPI: Fee income |
| Dashboard!B13 | =SUMIFS(Data!$I$2:$I$1209,Data!$O$2:$O$1209,1) |
KPI: Device rent |
| Dashboard!E13 | =SUMIFS(Data!$H$2:$H$1209,Data!$O$2:$O$1209,1)+SUMIFS(Data!$I$2:$I$1209,Data!$O$2:$O$1209,1) |
KPI: Total revenue |
| Dashboard!H13 | =IFERROR((SUMIFS(Data!$H$2:$H$1209,Data!$O$2:$O$1209,1)+SUMIFS(Data!$I$2:$I$1209,Data!$O$2:$O$1209,1))/(SUMIFS(Data!$G$2:$G$1209,Data!$O$2:$O$1209,1)),0) |
KPI: Revenue % of GMV |
| Dashboard!K13 | =IFERROR((COUNTIFS(Data!$O$2:$O$1209,1,Data!$E$2:$E$1209,"Soundbox"))/(COUNTIFS(Data!$O$2:$O$1209,1)),0) |
KPI: Soundbox merchants |
| Dashboard!N13 | =IFERROR((COUNTIFS(Data!$O$2:$O$1209,1,Data!$J$2:$J$1209,"Yes"))/(COUNTIFS(Data!$O$2:$O$1209,1)),0) |
KPI: Loan uptake |
| Dashboard!B17 | =SUMIFS(Data!$K$2:$K$1209,Data!$O$2:$O$1209,1) |
KPI: Loans disbursed |
| Dashboard!E17 | =IFERROR(AVERAGEIFS(Data!$L$2:$L$1209,Data!$O$2:$O$1209,1),0) |
KPI: Avg settlement |
| Dashboard!H17 | =IFERROR((COUNTIFS(Data!$O$2:$O$1209,1,Data!$L$2:$L$1209,"<=12"))/(COUNTIFS(Data!$O$2:$O$1209,1)),0) |
KPI: Same-day settled |
| Dashboard!K17 | =IFERROR((SUMIFS(Data!$M$2:$M$1209,Data!$O$2:$O$1209,1))/(SUMIFS(Data!$F$2:$F$1209,Data!$O$2:$O$1209,1)),0)*10000 |
KPI: Disputes / 10k pays |
| Dashboard!N17 | =IFERROR(AVERAGEIFS(Data!$N$2:$N$1209,Data!$O$2:$O$1209,1),0) |
KPI: Avg active days |
| Calc!B5 | =SUMIFS(Data!$G$2:$G$1209,Data!$O$2:$O$1209,1,Data!$D$2:$D$1209,$A5) |
By merchant type: GMV for Kirana (copied down) |
| Calc!C5 | =COUNTIFS(Data!$O$2:$O$1209,1,Data!$D$2:$D$1209,$A5) |
By merchant type: Merchants for Kirana (copied down) |
| Calc!B15 | =COUNTIFS(Data!$O$2:$O$1209,1,Data!$E$2:$E$1209,$A15) |
By device: Merchants for Soundbox (copied down) |
| Calc!C15 | =IFERROR(SUMIFS(Data!$H$2:$H$1209,Data!$O$2:$O$1209,1,Data!$E$2:$E$1209,$A15)+SUMIFS(Data!$I$2:$I$1209,Data!$O$2:$O$1209,1,Data!$E$2:$E$1209,$A15),0) |
By device: Revenue for Soundbox (copied down) |
| Calc!B22 | =SUMIFS(Data!$G$2:$G$1209,Data!$O$2:$O$1209,1,Data!$B$2:$B$1209,$A22) |
By month: GMV for Jan (copied down) |
| Calc!C22 | =SUMIFS(Data!$H$2:$H$1209,Data!$O$2:$O$1209,1,Data!$B$2:$B$1209,$A22) |
By month: Fee income for Jan (copied down) |
| Calc!D22 | =SUMIFS(Data!$I$2:$I$1209,Data!$O$2:$O$1209,1,Data!$B$2:$B$1209,$A22) |
By month: Device rent for Jan (copied down) |
| Calc!B32 | =SUMIFS(Data!$G$2:$G$1209,Data!$O$2:$O$1209,1,Data!$C$2:$C$1209,$A32) |
By city: GMV for Pune (copied down) |
| Calc!C32 | =SUMIFS(Data!$K$2:$K$1209,Data!$O$2:$O$1209,1,Data!$C$2:$C$1209,$A32) |
By city: Loans for Pune (copied down) |
| Calc!D32 | =COUNTIFS(Data!$O$2:$O$1209,1,Data!$C$2:$C$1209,$A32) |
By city: Merchants for Pune (copied down) |
| Calc!E32 | =IFERROR(AVERAGEIFS(Data!$L$2:$L$1209,Data!$O$2:$O$1209,1,Data!$C$2:$C$1209,$A32),0) |
By city: Avg settle h for Pune (copied down) |
| Calc!F32 | =IFERROR(SUMIFS(Data!$H$2:$H$1209,Data!$O$2:$O$1209,1,Data!$C$2:$C$1209,$A32)+SUMIFS(Data!$I$2:$I$1209,Data!$O$2:$O$1209,1,Data!$C$2:$C$1209,$A32),0) |
By city: Revenue for Pune (copied down) |
| Calc!G32 | =F32+ROW()/1000000 |
By city: Rank key for Pune (copied down) |
| Calc!B42 | =COUNTIFS(Data!$O$2:$O$1209,1,Data!$L$2:$L$1209,$A42) |
Settlement speed: Merchant-months for 2 (copied down) |
| Dashboard!D55 | =IFERROR(INDEX(Calc!$A$32:$A$37,MATCH(LARGE(Calc!$G$32:$G$37,$B55),Calc!$G$32:$G$37,0)),"-") |
Cities ranked by revenue: column 'City' (copied down) |
| Dashboard!F55 | =IFERROR(INDEX(Calc!$B$32:$B$37,MATCH(LARGE(Calc!$G$32:$G$37,$B55),Calc!$G$32:$G$37,0)),"-") |
Cities ranked by revenue: column 'GMV' (copied down) |
| Dashboard!H55 | =IFERROR(INDEX(Calc!$C$32:$C$37,MATCH(LARGE(Calc!$G$32:$G$37,$B55),Calc!$G$32:$G$37,0)),"-") |
Cities ranked by revenue: column 'Loans' (copied down) |
| Dashboard!J55 | =IFERROR(INDEX(Calc!$D$32:$D$37,MATCH(LARGE(Calc!$G$32:$G$37,$B55),Calc!$G$32:$G$37,0)),"-") |
Cities ranked by revenue: column 'Merchants' (copied down) |
| Dashboard!L55 | =IFERROR(INDEX(Calc!$E$32:$E$37,MATCH(LARGE(Calc!$G$32:$G$37,$B55),Calc!$G$32:$G$37,0)),"-") |
Cities ranked by revenue: column 'Avg settle h' (copied down) |
| Dashboard!N55 | =IFERROR(INDEX(Calc!$F$32:$F$37,MATCH(LARGE(Calc!$G$32:$G$37,$B55),Calc!$G$32:$G$37,0)),"-") |
Cities ranked by revenue: column 'Revenue' (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 Avg payment | An average of averages gives the wrong answer. | Divide totals, as the KPI formula does: =IFERROR((SUMIFS(Data[GMV],Data[Inc],1))/(SUMIFS(Data[Payments],Data[Inc],1)),0) |
| Adding rows below row 1209 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 Paytm data. | Always say 'example data' when you share a screenshot. |
9. FAQ
How do I calculate Avg payment in Excel?
Average ₹ per customer payment. The workbook uses =IFERROR((SUMIFS(Data[GMV],Data[Inc],1))/(SUMIFS(Data[Payments],Data[Inc],1)),0) in Dashboard!K9.
How do I calculate Revenue % of GMV in Excel?
Total revenue ÷ GMV. Formula: =IFERROR((SUMIFS(Data[FeeIncome],Data[Inc],1)+SUMIFS(Data[DeviceRent],Data[Inc],1))/(SUMIFS(Data[GMV],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, Device, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.
Is this real Paytm data?
No. All 1,208 rows are made up for practice. The colours are only inspired by the brand. It is not an official Paytm 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
- Set City = Pune. Write down the new value of Payments received.
- Which merchant type is highest in the chart 'GMV by merchant type'?
- Add one new row to the Data sheet and check that Merchant-months changes.
- 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.
लक्षात ठेवा
KPI cards, Calc sheet आणि Inc column मध्ये formulas आहेत, त्यावर काही type करू नका. नवीन data फक्त Data table च्या खाली, त्याच spelling ने जोडा.
याद रखें
KPI cards, Calc sheet और Inc column में formulas हैं, उन पर कुछ type न करें. नया data सिर्फ Data table के नीचे, उसी spelling के साथ जोड़ें.
Related: all Excel dashboards · Excel dashboards chapter · SUMIFS, COUNTIFS and AVERAGEIFS · KPI cards in Excel
Loading practice tasks...
- Monthly rate (Easy): Yearly rate B3 divided by 12.
- Months (Easy): B4 times 12.
- Monthly EMI (Easy): EMI on amount B2 at B3 for B4 years, as a positive number, rounded to 2 decimals.
- Total repaid (Medium): Total paid over the loan, rounded to 0 decimals.
- Total interest (Medium): Total paid minus B2, rounded to 0 decimals.
- Processing fee (Medium): B2 times B6.
- Savings value (Medium): Value after B4 years of saving B5 each month at B3, positive, rounded to 0 decimals.
- Interest earned (Hard): Savings value minus B5 times months, rounded to 0 decimals.
- Months to repay at double EMI (Hard): Months to clear B2 at B3 paying twice the EMI, rounded up.
- Loan you can afford (Hard): Loan size for an EMI equal to B5 over B4 years at B3, positive, rounded to 0 decimals.
- Interest share (Hard): Total interest ÷ total paid, rounded to 3 decimals.