WhatsApp Business Dashboard in Excel: Read Rate, First Reply Time, Resolution and Chat Sales
Shops and clinics talk to customers on WhatsApp. They must reply fast, solve problems and turn chats into orders. This page gives you a ready Excel dashboard for it. It has 1,600 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.
What you'll learn on this page
- Why a WhatsApp Business-style messaging 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, Category and Month drop-downs change every number
- How to add new data safely
- Common mistakes and how to avoid them
Download the template: whatsapp-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 WhatsApp 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 WhatsApp Business-style messaging dashboard shows 1,600 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 WhatsApp Business-style messaging dashboard 1,600 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 WhatsApp Business-style messaging dashboard 1,600 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
Shops and clinics talk to customers on WhatsApp. They must reply fast, solve problems and turn chats into orders. Looking at 1,600 rows one by one is slow. A dashboard turns them into a few clear numbers.
What
The dashboard answers questions like these:
- Conversations: Business-customer conversations in view.
- Delivery rate: Share of messages that reached the phone (two grey ticks).
- Reply rate: Conversations where the customer wrote back.
- Orders from chat: Conversations that ended in an order.
How
- Download whatsapp-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 conversation. 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: ConvID, Month, City, Business, Category, Entry, Messages, Delivered, ReadMsgs, Replied, FirstReplyMin, Resolved, OrderPlaced, OrderValue, CostPerConv, Agent 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$1601.
| KPI | What it means | Formula (Dashboard cell) | Example value |
|---|---|---|---|
| Conversations | Business-customer conversations in view. | =COUNTIFS(Data[Inc],1)Dashboard!B9 |
1,600 |
| Messages sent | Messages the business sent. | =SUMIFS(Data[Messages],Data[Inc],1)Dashboard!E9 |
6,260 |
| Delivery rate | Share of messages that reached the phone (two grey ticks). Target rule: card turns green when the value is ≥ 0.95. | =IFERROR((SUMIFS(Data[Delivered],Data[Inc],1))/(SUMIFS(Data[Messages],Data[Inc],1)),0)Dashboard!H9 |
96.9% |
| Read rate | Share of delivered messages that were read (blue ticks). | =IFERROR((SUMIFS(Data[ReadMsgs],Data[Inc],1))/(SUMIFS(Data[Delivered],Data[Inc],1)),0)Dashboard!K9 |
81.8% |
| Reply rate | Conversations where the customer wrote back. | =IFERROR((COUNTIFS(Data[Inc],1,Data[Replied],"Yes"))/(COUNTIFS(Data[Inc],1)),0)Dashboard!N9 |
29.6% |
| Avg first reply | Minutes until the business first answered a service chat. Target rule: card turns red when the value is > 10. | =IFERROR(AVERAGEIFS(Data[FirstReplyMin],Data[Inc],1,Data[Category],"Service"),0)Dashboard!B13 |
7.3 min |
| Resolved | Share of service chats solved in the conversation. Target rule: card turns green when the value is ≥ 0.75. | =IFERROR((COUNTIFS(Data[Inc],1,Data[Category],"Service",Data[Resolved],"Yes"))/(COUNTIFS(Data[Inc],1,Data[Category],"Service")),0)Dashboard!E13 |
80.7% |
| Bot-handled service | Share of service chats answered by a chatbot. | =IFERROR((COUNTIFS(Data[Inc],1,Data[Category],"Service",Data[Agent],"Bot"))/(COUNTIFS(Data[Inc],1,Data[Category],"Service")),0)Dashboard!H13 |
68.5% |
| Orders from chat | Conversations that ended in an order. | =COUNTIFS(Data[Inc],1,Data[OrderPlaced],"Yes")Dashboard!K13 |
109 |
| Chat conversion | Share of conversations that ended in an order. | =IFERROR((COUNTIFS(Data[Inc],1,Data[OrderPlaced],"Yes"))/(COUNTIFS(Data[Inc],1)),0)Dashboard!N13 |
6.8% |
| Order value | ₹ of orders placed through chats. | =SUMIFS(Data[OrderValue],Data[Inc],1)Dashboard!B17 |
₹2,82,188 |
| Messaging cost | Sum of per-conversation charges (example rates). | =SUMPRODUCT((Data[Inc]=1)*Data[CostPerConv])Dashboard!E17 |
₹504.56 |
| Cost per order | Messaging cost for each order won. | =IFERROR((SUMPRODUCT((Data[Inc]=1)*Data[CostPerConv]))/(COUNTIFS(Data[Inc],1,Data[OrderPlaced],"Yes")),0)Dashboard!H17 |
₹4.63 |
| Return on messaging | ₹ of sales for every ₹1 of messaging cost. | =IFERROR((SUMIFS(Data[OrderValue],Data[Inc],1))/(SUMPRODUCT((Data[Inc]=1)*Data[CostPerConv])),0)Dashboard!K17 |
559x |
| Ad-click chats | Share of chats that started from an ad. | =IFERROR((COUNTIFS(Data[Inc],1,Data[Entry],"Ad click"))/(COUNTIFS(Data[Inc],1)),0)Dashboard!N17 |
31.1% |
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 Category or one Month at a time.
What
Row 6 has three yellow cells with drop-down lists: City, Category 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
- Conversations by category
- Sent → delivered → read
- Read rate by category
- Chats and orders by entry point
- Order value from chats by month
- Avg first reply by business (min)
- Table: Business types ranked by chat sales (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 |
|---|---|---|
ConvID, Month, City |
One business-customer conversation | Unique code |
Business, Category |
Example business type; Marketing/Utility/Service/Authentication | Exact spellings |
Entry |
How the chat started | Ad click/QR code/Website/Customer started |
Messages, Delivered, ReadMsgs |
Sent, delivered, read | Read ≤ Delivered ≤ Messages |
Replied, Resolved, OrderPlaced |
Yes/No flags ('-' for Resolved outside Service) | Exact |
FirstReplyMin |
Service chats only | Blank otherwise |
OrderValue |
₹ ordered | 0 when no order |
CostPerConv |
Example ₹ charge per conversation | Not official pricing |
Agent |
Bot/Human/Template | Exact |
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 1601. If your data goes past row 1601, use Find & Replace on the Dashboard and Calc sheets to change 1601 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!Q2 | =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$6)),1,0) |
Inc flag: 1 when the row matches every Dashboard filter (copied down every row) |
| Dashboard!K6 | ="Rows in view: "&TEXT(SUM(Data!$Q$2:$Q$1601),"#,##0")&" of 1,600 | Yellow cells = drop-down filters" |
Counts rows in view |
| Dashboard!B9 | =COUNTIFS(Data!$Q$2:$Q$1601,1) |
KPI: Conversations |
| Dashboard!E9 | =SUMIFS(Data!$G$2:$G$1601,Data!$Q$2:$Q$1601,1) |
KPI: Messages sent |
| Dashboard!H9 | =IFERROR((SUMIFS(Data!$H$2:$H$1601,Data!$Q$2:$Q$1601,1))/(SUMIFS(Data!$G$2:$G$1601,Data!$Q$2:$Q$1601,1)),0) |
KPI: Delivery rate |
| Dashboard!K9 | =IFERROR((SUMIFS(Data!$I$2:$I$1601,Data!$Q$2:$Q$1601,1))/(SUMIFS(Data!$H$2:$H$1601,Data!$Q$2:$Q$1601,1)),0) |
KPI: Read rate |
| Dashboard!N9 | =IFERROR((COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$J$2:$J$1601,"Yes"))/(COUNTIFS(Data!$Q$2:$Q$1601,1)),0) |
KPI: Reply rate |
| Dashboard!B13 | =IFERROR(AVERAGEIFS(Data!$K$2:$K$1601,Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,"Service"),0) |
KPI: Avg first reply |
| Dashboard!E13 | =IFERROR((COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,"Service",Data!$L$2:$L$1601,"Yes"))/(COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,"Service")),0) |
KPI: Resolved |
| Dashboard!H13 | =IFERROR((COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,"Service",Data!$P$2:$P$1601,"Bot"))/(COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,"Service")),0) |
KPI: Bot-handled service |
| Dashboard!K13 | =COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$M$2:$M$1601,"Yes") |
KPI: Orders from chat |
| Dashboard!N13 | =IFERROR((COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$M$2:$M$1601,"Yes"))/(COUNTIFS(Data!$Q$2:$Q$1601,1)),0) |
KPI: Chat conversion |
| Dashboard!B17 | =SUMIFS(Data!$N$2:$N$1601,Data!$Q$2:$Q$1601,1) |
KPI: Order value |
| Dashboard!E17 | =SUMPRODUCT((Data!$Q$2:$Q$1601=1)*Data!$O$2:$O$1601) |
KPI: Messaging cost |
| Dashboard!H17 | =IFERROR((SUMPRODUCT((Data!$Q$2:$Q$1601=1)*Data!$O$2:$O$1601))/(COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$M$2:$M$1601,"Yes")),0) |
KPI: Cost per order |
| Dashboard!K17 | =IFERROR((SUMIFS(Data!$N$2:$N$1601,Data!$Q$2:$Q$1601,1))/(SUMPRODUCT((Data!$Q$2:$Q$1601=1)*Data!$O$2:$O$1601)),0) |
KPI: Return on messaging |
| Dashboard!N17 | =IFERROR((COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$F$2:$F$1601,"Ad click"))/(COUNTIFS(Data!$Q$2:$Q$1601,1)),0) |
KPI: Ad-click chats |
| Calc!B5 | =COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,$A5) |
By category: Chats for Marketing (copied down) |
| Calc!C5 | =IFERROR(SUMIFS(Data!$I$2:$I$1601,Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,$A5)/SUMIFS(Data!$H$2:$H$1601,Data!$Q$2:$Q$1601,1,Data!$E$2:$E$1601,$A5),0) |
By category: Read rate for Marketing (copied down) |
| Calc!B13 | =COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$F$2:$F$1601,$A13) |
By entry point: Chats for Ad click (copied down) |
| Calc!C13 | =IFERROR(COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$F$2:$F$1601,$A13,Data!$M$2:$M$1601,"Yes"),0) |
By entry point: Orders for Ad click (copied down) |
| Calc!B21 | =SUMIFS(Data!$N$2:$N$1601,Data!$Q$2:$Q$1601,1,Data!$B$2:$B$1601,$A21) |
By month: Order value for Jan (copied down) |
| Calc!C21 | =COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$B$2:$B$1601,$A21) |
By month: Chats for Jan (copied down) |
| Calc!B31 | =IFERROR(CHOOSE(MATCH($A31,{"Sent","Delivered","Read"},0),SUMIFS(Data!$G$2:$G$1601,Data!$Q$2:$Q$1601,1),SUMIFS(Data!$H$2:$H$1601,Data!$Q$2:$Q$1601,1),SUMIFS(Data!$I$2:$I$1601,Data!$Q$2:$Q$1601,1)),0) |
Message funnel: Messages for Sent (copied down) |
| Calc!B38 | =SUMIFS(Data!$N$2:$N$1601,Data!$Q$2:$Q$1601,1,Data!$D$2:$D$1601,$A38) |
By business type: Order value for Clinic (copied down) |
| Calc!C38 | =COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$D$2:$D$1601,$A38) |
By business type: Chats for Clinic (copied down) |
| Calc!D38 | =IFERROR(COUNTIFS(Data!$Q$2:$Q$1601,1,Data!$D$2:$D$1601,$A38,Data!$M$2:$M$1601,"Yes"),0) |
By business type: Orders for Clinic (copied down) |
| Calc!E38 | =IFERROR(AVERAGEIFS(Data!$K$2:$K$1601,Data!$Q$2:$Q$1601,1,Data!$D$2:$D$1601,$A38,Data!$E$2:$E$1601,"Service"),0) |
By business type: Avg first reply for Clinic (copied down) |
| Calc!F38 | =B38+ROW()/1000000 |
By business type: Rank key for Clinic (copied down) |
| Dashboard!D55 | =IFERROR(INDEX(Calc!$A$38:$A$43,MATCH(LARGE(Calc!$F$38:$F$43,$B55),Calc!$F$38:$F$43,0)),"-") |
Business types ranked by chat sales: column 'Business' (copied down) |
| Dashboard!F55 | =IFERROR(INDEX(Calc!$B$38:$B$43,MATCH(LARGE(Calc!$F$38:$F$43,$B55),Calc!$F$38:$F$43,0)),"-") |
Business types ranked by chat sales: column 'Order value' (copied down) |
| Dashboard!H55 | =IFERROR(INDEX(Calc!$C$38:$C$43,MATCH(LARGE(Calc!$F$38:$F$43,$B55),Calc!$F$38:$F$43,0)),"-") |
Business types ranked by chat sales: column 'Chats' (copied down) |
| Dashboard!J55 | =IFERROR(INDEX(Calc!$D$38:$D$43,MATCH(LARGE(Calc!$F$38:$F$43,$B55),Calc!$F$38:$F$43,0)),"-") |
Business types ranked by chat sales: column 'Orders' (copied down) |
| Dashboard!L55 | =IFERROR(INDEX(Calc!$E$38:$E$43,MATCH(LARGE(Calc!$F$38:$F$43,$B55),Calc!$F$38:$F$43,0)),"-") |
Business types ranked by chat sales: column 'Avg first reply' (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 Delivery rate | An average of averages gives the wrong answer. | Divide totals, as the KPI formula does: =IFERROR((SUMIFS(Data[Delivered],Data[Inc],1))/(SUMIFS(Data[Messages],Data[Inc],1)),0) |
| Adding rows below row 1601 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 WhatsApp data. | Always say 'example data' when you share a screenshot. |
9. FAQ
How do I calculate Delivery rate in Excel?
Share of messages that reached the phone (two grey ticks). The workbook uses =IFERROR((SUMIFS(Data[Delivered],Data[Inc],1))/(SUMIFS(Data[Messages],Data[Inc],1)),0) in Dashboard!H9.
How do I calculate Read rate in Excel?
Share of delivered messages that were read (blue ticks). Formula: =IFERROR((SUMIFS(Data[ReadMsgs],Data[Inc],1))/(SUMIFS(Data[Delivered],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, Category, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.
Is this real WhatsApp data?
No. All 1,600 rows are made up for practice. The colours are only inspired by the brand. It is not an official WhatsApp 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 Delivery rate.
- Which category is highest in the chart 'Conversations by category'?
- Add one new row to the Data sheet and check that Conversations 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...
- Total deals won (Easy): Add up Deals won in D2:D11.
- Average avg deal value (Easy): Average of E2:E11, rounded to 2 decimals.
- Rows in North (Easy): How many rows have Region "North"?
- Largest deals won (Easy): The largest value in D2:D11.
- Deals won for North (Medium): Total of D2:D11 where B is "North".
- North in Manchester (Medium): Total of D2:D11 where B is "North" and C is "Manchester".
- Best in North (Medium): Largest E2:E11 value where B is "North".
- Value of row 2 (Medium): D2 times E2.
- Look up Kavya Reddy (Medium): The Deals won for "Kavya Reddy" (use a lookup on column A).
- Total value (Hard): Sum of D times E for all rows.
- Share of North (Hard): Share of D2:D11 that is "North", rounded to 3 decimals.
- Rank of row 2 (Hard): Rank of D2 among D2:D11 (largest = 1).
- Above average? (Hard): "Above" if E2 is above the average of E2:E11, else "Below".