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Netflix Dashboard in Excel: Subscribers, Churn Rate, ARPU and Watch Hours

A streaming app earns a monthly fee. It must keep people watching, or they cancel (churn). This page gives you a ready Excel dashboard for it. It has 2,150 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.

What you'll learn on this page

  • Why a Netflix-style streaming 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, Plan and Month drop-downs change every number
  • How to add new data safely
  • Common mistakes and how to avoid them

Download the template: netflix-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 Netflix data and not an official report. The colours are only inspired by the brand; there is no logo.

Netflix-style streaming 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 Netflix-style streaming dashboard shows 2,150 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 streaming app earns a monthly fee. It must keep people watching, or they cancel (churn). Looking at 2,150 rows one by one is slow. A dashboard turns them into a few clear numbers.

What

The dashboard answers questions like these:

  • Paying accounts: Account-months that stayed active (one row = one account in one month).
  • Churned accounts: Accounts that cancelled (their last row says Churned).
  • Subscription revenue: Total monthly fees billed (example fees, not official prices).
  • Hours per account: Average hours one account watched in a month (engagement).

How

  1. Download netflix-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 account 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: Month, AccountID, City, Plan, Fee, Status, NewSub, TenureMonths, WatchHours, Titles, TopGenre, Device, Profiles, Completion, Payment 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$2151.

KPI What it means Formula (Dashboard cell) Example value
Paying accounts Account-months that stayed active (one row = one account in one month). =COUNTIFS(Data[Inc],1,Data[Status],"Active")
Dashboard!B9
2,045
New subscribers Accounts whose first month is in the selected period. =COUNTIFS(Data[Inc],1,Data[NewSub],"Yes")
Dashboard!E9
175
Churned accounts Accounts that cancelled (their last row says Churned). =COUNTIFS(Data[Inc],1,Data[Status],"Churned")
Dashboard!H9
105
Churn rate Churned rows ÷ all rows: the share of accounts lost per month. Target rule: card turns red when the value is > 0.04. =IFERROR(COUNTIFS(Data[Inc],1,Data[Status],"Churned")/COUNTIFS(Data[Inc],1),0)
Dashboard!K9
4.9%
Subscription revenue Total monthly fees billed (example fees, not official prices). =SUMIFS(Data[Fee],Data[Inc],1)
Dashboard!N9
₹7,77,250
ARPU per month Average Revenue Per User: revenue ÷ account-months. Target rule: card turns green when the value is ≥ 400. =IFERROR(SUMIFS(Data[Fee],Data[Inc],1)/COUNTIFS(Data[Inc],1),0)
Dashboard!B13
₹362
Revenue lost to churn Monthly fee that walked away with churned accounts. =SUMIFS(Data[Fee],Data[Inc],1,Data[Status],"Churned")
Dashboard!E13
₹33,900
Total watch hours Total hours streamed. =SUMIFS(Data[WatchHours],Data[Inc],1)
Dashboard!H13
89,221
Hours per account Average hours one account watched in a month (engagement). Target rule: card turns green when the value is ≥ 35. =IFERROR(AVERAGEIFS(Data[WatchHours],Data[Inc],1),0)
Dashboard!K13
41.5 h
Avg completion Average share of each started title that was finished. Target rule: card turns green when the value is ≥ 0.7. =IFERROR(AVERAGEIFS(Data[Completion],Data[Inc],1),0)
Dashboard!N13
78.4%
Titles per account Average titles started per account per month. =IFERROR(AVERAGEIFS(Data[Titles],Data[Inc],1),0)
Dashboard!B17
10.3
Premium + Standard Share of account-months on Standard or Premium plans. =IFERROR((COUNTIFS(Data[Inc],1,Data[Plan],"Premium")+COUNTIFS(Data[Inc],1,Data[Plan],"Standard"))/COUNTIFS(Data[Inc],1),0)
Dashboard!E17
47.1%
Smart TV viewing Share of watch hours on Smart TVs. =IFERROR(SUMIFS(Data[WatchHours],Data[Inc],1,Data[Device],"Smart TV")/SUMIFS(Data[WatchHours],Data[Inc],1),0)
Dashboard!H17
32.9%
Avg tenure Average months since the account joined. =IFERROR(AVERAGEIFS(Data[TenureMonths],Data[Inc],1),0)
Dashboard!K17
11.7 mo
Avg profiles used Average number of profiles in use per account. =IFERROR(AVERAGEIFS(Data[Profiles],Data[Inc],1),0)
Dashboard!N17
1.6

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 Plan or one Month at a time.

What

Row 6 has three yellow cells with drop-down lists: City, Plan 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$6="All",D2=Dashboard!$F$6),OR(Dashboard!$I$6="All",A2=Dashboard!$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

  • Revenue and active accounts by month
  • Revenue share by plan
  • Churn % by month
  • Watch hours by genre
  • New vs churned accounts
  • ARPU by city
  • Table: Top 5 genres by watch hours (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
Month Billing month (Jan..Jun 2026) One row per account per month
AccountID Example account code Same ID repeats each month it stays
City, Plan, Fee Home city, plan, monthly fee in ₹ Fees are EXAMPLE values (₹150/250/500/650), not official prices
Status Active, or Churned in its last month After a Churned row the ID has no more rows
NewSub Yes in the first month only Yes/No
TenureMonths Months since joining Whole number ≥1
WatchHours, Titles Hours streamed and titles started that month Numbers only
TopGenre, Device Most-watched genre and main device Exact spellings from Lists/Calc
Profiles Profiles used 1-4
Completion Average share of titles finished Decimal 0-1 shown as %
Payment How the fee was paid Exact spelling

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 2151. If your data goes past row 2151, use Find & Replace on the Dashboard and Calc sheets to change 2151 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!P2 =IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",D2=Dashboard!$F$6),OR(Dashboard!$I$6="All",A2=Dashboard!$I$6)),1,0) Inc flag: 1 when the row matches every Dashboard filter (copied down every row)
Dashboard!K6 ="Rows in view: "&TEXT(SUM(Data!$P$2:$P$2151),"#,##0")&" of 2,150 | Yellow cells = drop-down filters" Counts rows in view
Dashboard!B9 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$F$2:$F$2151,"Active") KPI: Paying accounts
Dashboard!E9 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$G$2:$G$2151,"Yes") KPI: New subscribers
Dashboard!H9 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$F$2:$F$2151,"Churned") KPI: Churned accounts
Dashboard!K9 =IFERROR(COUNTIFS(Data!$P$2:$P$2151,1,Data!$F$2:$F$2151,"Churned")/COUNTIFS(Data!$P$2:$P$2151,1),0) KPI: Churn rate
Dashboard!N9 =SUMIFS(Data!$E$2:$E$2151,Data!$P$2:$P$2151,1) KPI: Subscription revenue
Dashboard!B13 =IFERROR(SUMIFS(Data!$E$2:$E$2151,Data!$P$2:$P$2151,1)/COUNTIFS(Data!$P$2:$P$2151,1),0) KPI: ARPU per month
Dashboard!E13 =SUMIFS(Data!$E$2:$E$2151,Data!$P$2:$P$2151,1,Data!$F$2:$F$2151,"Churned") KPI: Revenue lost to churn
Dashboard!H13 =SUMIFS(Data!$I$2:$I$2151,Data!$P$2:$P$2151,1) KPI: Total watch hours
Dashboard!K13 =IFERROR(AVERAGEIFS(Data!$I$2:$I$2151,Data!$P$2:$P$2151,1),0) KPI: Hours per account
Dashboard!N13 =IFERROR(AVERAGEIFS(Data!$N$2:$N$2151,Data!$P$2:$P$2151,1),0) KPI: Avg completion
Dashboard!B17 =IFERROR(AVERAGEIFS(Data!$J$2:$J$2151,Data!$P$2:$P$2151,1),0) KPI: Titles per account
Dashboard!E17 =IFERROR((COUNTIFS(Data!$P$2:$P$2151,1,Data!$D$2:$D$2151,"Premium")+COUNTIFS(Data!$P$2:$P$2151,1,Data!$D$2:$D$2151,"Standard"))/COUNTIFS(Data!$P$2:$P$2151,1),0) KPI: Premium + Standard
Dashboard!H17 =IFERROR(SUMIFS(Data!$I$2:$I$2151,Data!$P$2:$P$2151,1,Data!$L$2:$L$2151,"Smart TV")/SUMIFS(Data!$I$2:$I$2151,Data!$P$2:$P$2151,1),0) KPI: Smart TV viewing
Dashboard!K17 =IFERROR(AVERAGEIFS(Data!$H$2:$H$2151,Data!$P$2:$P$2151,1),0) KPI: Avg tenure
Dashboard!N17 =IFERROR(AVERAGEIFS(Data!$M$2:$M$2151,Data!$P$2:$P$2151,1),0) KPI: Avg profiles used
Calc!B5 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$A$2:$A$2151,$A5,Data!$F$2:$F$2151,"Active") By month: Active for Jan (copied down)
Calc!C5 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$A$2:$A$2151,$A5,Data!$G$2:$G$2151,"Yes") By month: New for Jan (copied down)
Calc!D5 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$A$2:$A$2151,$A5,Data!$F$2:$F$2151,"Churned") By month: Churned for Jan (copied down)
Calc!E5 =SUMIFS(Data!$E$2:$E$2151,Data!$P$2:$P$2151,1,Data!$A$2:$A$2151,$A5) By month: Revenue for Jan (copied down)
Calc!F5 =IFERROR(D5/(B5+D5),0) By month: Churn % for Jan (copied down)
Calc!B15 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$D$2:$D$2151,$A15) By plan: Accounts for Mobile (copied down)
Calc!C15 =SUMIFS(Data!$E$2:$E$2151,Data!$P$2:$P$2151,1,Data!$D$2:$D$2151,$A15) By plan: Revenue for Mobile (copied down)
Calc!D15 =IFERROR(COUNTIFS(Data!$P$2:$P$2151,1,Data!$D$2:$D$2151,$A15,Data!$F$2:$F$2151,"Churned")/B15,0) By plan: Churn % for Mobile (copied down)
Calc!B23 =SUMIFS(Data!$I$2:$I$2151,Data!$P$2:$P$2151,1,Data!$K$2:$K$2151,$A23) By top genre: Watch hours for Drama (copied down)
Calc!C23 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$K$2:$K$2151,$A23) By top genre: Accounts for Drama (copied down)
Calc!D23 =IFERROR(AVERAGEIFS(Data!$N$2:$N$2151,Data!$P$2:$P$2151,1,Data!$K$2:$K$2151,$A23),0) By top genre: Avg completion for Drama (copied down)
Calc!E23 =IFERROR(B23/C23,0) By top genre: Hours per account for Drama (copied down)
Calc!F23 =B23+ROW()/100000 By top genre: Rank key for Drama (copied down)
Calc!B35 =SUMIFS(Data!$I$2:$I$2151,Data!$P$2:$P$2151,1,Data!$L$2:$L$2151,$A35) By device: Watch hours for Smart TV (copied down)
Calc!B43 =COUNTIFS(Data!$P$2:$P$2151,1,Data!$C$2:$C$2151,$A43) By city: Accounts for Pune (copied down)
Calc!C43 =IFERROR(SUMIFS(Data!$E$2:$E$2151,Data!$P$2:$P$2151,1,Data!$C$2:$C$2151,$A43)/B43,0) By city: ARPU for Pune (copied down)
Calc!D43 =IFERROR(COUNTIFS(Data!$P$2:$P$2151,1,Data!$C$2:$C$2151,$A43,Data!$F$2:$F$2151,"Churned")/B43,0) By city: Churn % for Pune (copied down)
Dashboard!D55 =IFERROR(INDEX(Calc!$A$23:$A$30,MATCH(LARGE(Calc!$F$23:$F$30,$B55),Calc!$F$23:$F$30,0)),"-") Top 5 genres by watch hours: column 'Genre' (copied down)
Dashboard!F55 =IFERROR(INDEX(Calc!$B$23:$B$30,MATCH(LARGE(Calc!$F$23:$F$30,$B55),Calc!$F$23:$F$30,0)),"-") Top 5 genres by watch hours: column 'Watch hours' (copied down)
Dashboard!H55 =IFERROR(INDEX(Calc!$C$23:$C$30,MATCH(LARGE(Calc!$F$23:$F$30,$B55),Calc!$F$23:$F$30,0)),"-") Top 5 genres by watch hours: column 'Accounts' (copied down)
Dashboard!J55 =IFERROR(INDEX(Calc!$D$23:$D$30,MATCH(LARGE(Calc!$F$23:$F$30,$B55),Calc!$F$23:$F$30,0)),"-") Top 5 genres by watch hours: column 'Avg completion' (copied down)
Dashboard!L55 =IFERROR(INDEX(Calc!$E$23:$E$30,MATCH(LARGE(Calc!$F$23:$F$30,$B55),Calc!$F$23:$F$30,0)),"-") Top 5 genres by watch hours: column 'Hours / account' (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 Churn rate An average of averages gives the wrong answer. Divide totals, as the KPI formula does: =IFERROR(COUNTIFS(Data[Inc],1,Data[Status],"Churned")/COUNTIFS(Data[Inc],1),0)
Adding rows below row 2151 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 Netflix data. Always say 'example data' when you share a screenshot.

9. FAQ

How do I calculate Churn rate in Excel?

Churned rows ÷ all rows: the share of accounts lost per month. The workbook uses =IFERROR(COUNTIFS(Data[Inc],1,Data[Status],"Churned")/COUNTIFS(Data[Inc],1),0) in Dashboard!K9.

How do I calculate ARPU per month in Excel?

Average Revenue Per User: revenue ÷ account-months. Formula: =IFERROR(SUMIFS(Data[Fee],Data[Inc],1)/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, Plan, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.

Is this real Netflix data?

No. All 2,150 rows are made up for practice. The colours are only inspired by the brand. It is not an official Netflix 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 Churned accounts.
  2. Which month is highest in the chart 'Revenue and active accounts by month'?
  3. Add one new row to the Data sheet and check that Paying accounts 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. Total seats (Easy): Add up Seats in D2:D11.
  2. Average price per seat (Easy): Average of E2:E11, rounded to 2 decimals.
  3. Rows in Basic (Easy): How many rows have Plan "Basic"?
  4. Largest seats (Easy): The largest value in D2:D11.
  5. Seats for Basic (Medium): Total of D2:D11 where B is "Basic".
  6. Basic in Denver (Medium): Total of D2:D11 where B is "Basic" and C is "Denver".
  7. Best in Basic (Medium): Largest E2:E11 value where B is "Basic".
  8. Value of row 2 (Medium): D2 times E2.
  9. Look up Priya Kulkarni (Medium): The Seats for "Priya Kulkarni" (use a lookup on column A).
  10. Total value (Hard): Sum of D times E for all rows.
  11. Share of Basic (Hard): Share of D2:D11 that is "Basic", rounded to 3 decimals.
  12. Rank of row 2 (Hard): Rank of D2 among D2:D11 (largest = 1).
  13. Above average? (Hard): "Above" if E2 is above the average of E2:E11, else "Below".