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Snapchat Dashboard in Excel: Daily Engagement, Snap Open Rate, Streaks, Lenses and Ad Revenue

A camera and chat app lives on daily habits. Time spent, streaks and lenses show if users love it; ads bring the money. This page gives you a ready Excel dashboard for it. It has 1,800 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.

What you'll learn on this page

  • Why a Snapchat-style daily engagement 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, Age band and Month drop-downs change every number
  • How to add new data safely
  • Common mistakes and how to avoid them

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

Snapchat-style daily engagement 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 Snapchat-style daily engagement dashboard shows 1,800 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 camera and chat app lives on daily habits. Time spent, streaks and lenses show if users love it; ads bring the money. Looking at 1,800 rows one by one is slow. A dashboard turns them into a few clear numbers.

What

The dashboard answers questions like these:

  • User-days: Rows in view: one user on one active day.
  • Sessions / day: Average times the app was opened in a day.
  • Snap open rate: Share of sent snaps that the receiver opened.
  • Map users: Share of user-days that opened the map.

How

  1. Download snapchat-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 user per day. 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: UserDay, Month, City, AgeBand, Sessions, Minutes, SnapsSent, SnapsOpened, StoriesViewed, SpotlightMin, LensUses, MapOpened, StreakDays, Plus, AdImpressions, AdRevenue, Device 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$1801.

KPI What it means Formula (Dashboard cell) Example value
User-days Rows in view: one user on one active day. =COUNTIFS(Data[Inc],1)
Dashboard!B9
1,800
Avg minutes / day Average minutes a user spent in the app that day. Target rule: card turns green when the value is ≥ 25. =IFERROR(AVERAGEIFS(Data[Minutes],Data[Inc],1),0)
Dashboard!E9
28.8 min
Sessions / day Average times the app was opened in a day. =IFERROR(AVERAGEIFS(Data[Sessions],Data[Inc],1),0)
Dashboard!H9
14.7
Snaps sent / user Average snaps a user sent. =IFERROR(AVERAGEIFS(Data[SnapsSent],Data[Inc],1),0)
Dashboard!K9
25.0
Snap open rate Share of sent snaps that the receiver opened. Target rule: card turns green when the value is ≥ 0.8. =IFERROR((SUMIFS(Data[SnapsOpened],Data[Inc],1))/(SUMIFS(Data[SnapsSent],Data[Inc],1)),0)
Dashboard!N9
77.6%
Stories viewed / user Average stories watched. =IFERROR(AVERAGEIFS(Data[StoriesViewed],Data[Inc],1),0)
Dashboard!B13
14.5
Spotlight time share Share of app time spent watching Spotlight videos. =IFERROR((SUMIFS(Data[SpotlightMin],Data[Inc],1))/(SUMIFS(Data[Minutes],Data[Inc],1)),0)
Dashboard!E13
29.7%
Lens uses / user Average camera lenses (AR filters) used. =IFERROR(AVERAGEIFS(Data[LensUses],Data[Inc],1),0)
Dashboard!H13
4.2
Map users Share of user-days that opened the map. =IFERROR((COUNTIFS(Data[Inc],1,Data[MapOpened],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!K13
29.2%
Long streaks (30+ days) Share of users with a snap streak of 30 days or more. =IFERROR((COUNTIFS(Data[Inc],1,Data[StreakDays],">=30"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N13
47.2%
Plus subscribers Share of user-days from paid subscribers. =IFERROR((COUNTIFS(Data[Inc],1,Data[Plus],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!B17
6.9%
Ad impressions Number of ads shown. =SUMIFS(Data[AdImpressions],Data[Inc],1)
Dashboard!E17
84,162
Ad revenue ₹ ad revenue (example rates). =SUMIFS(Data[AdRevenue],Data[Inc],1)
Dashboard!H17
₹11,962
Ad revenue / user-day Ad revenue ÷ user-days. =IFERROR((SUMIFS(Data[AdRevenue],Data[Inc],1))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!K17
₹6.65
Age 18-24 share Share of user-days from people aged 18-24. =IFERROR((COUNTIFS(Data[Inc],1,Data[AgeBand],"18-20")+COUNTIFS(Data[Inc],1,Data[AgeBand],"21-24"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N17
63.6%

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 Age band or one Month at a time.

What

Row 6 has three yellow cells with drop-down lists: City, Age band 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$6="All",B2=Dashboard!$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

  • Snaps and lenses by age band
  • Where app time goes
  • Ad revenue by month, minutes line
  • Users by streak length
  • Map users % by city
  • Avg minutes by age band
  • Table: Cities ranked by ad 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

  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
UserDay, Month One user on one active day Unique code
City, AgeBand Where and age band (18+ only in this example) From Lists
Sessions, Minutes App opens and minutes Numbers
SnapsSent, SnapsOpened Snaps sent and opened by receivers Opened ≤ Sent
StoriesViewed, SpotlightMin, LensUses Stories watched, Spotlight minutes, AR lenses SpotlightMin ≤ Minutes
MapOpened, StreakDays Map used; longest streak Yes/No; whole days
Plus Paid subscriber Yes/No
AdImpressions, AdRevenue Ads shown; ₹ (example rates) Plus users see fewer ads here
Device Android/iOS Exact

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 1801. If your data goes past row 1801, use Find & Replace on the Dashboard and Calc sheets to change 1801 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$6="All",D2=Dashboard!$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$1801),"#,##0")&" of 1,800 | Yellow cells = drop-down filters" Counts rows in view
Dashboard!B9 =COUNTIFS(Data!$R$2:$R$1801,1) KPI: User-days
Dashboard!E9 =IFERROR(AVERAGEIFS(Data!$F$2:$F$1801,Data!$R$2:$R$1801,1),0) KPI: Avg minutes / day
Dashboard!H9 =IFERROR(AVERAGEIFS(Data!$E$2:$E$1801,Data!$R$2:$R$1801,1),0) KPI: Sessions / day
Dashboard!K9 =IFERROR(AVERAGEIFS(Data!$G$2:$G$1801,Data!$R$2:$R$1801,1),0) KPI: Snaps sent / user
Dashboard!N9 =IFERROR((SUMIFS(Data!$H$2:$H$1801,Data!$R$2:$R$1801,1))/(SUMIFS(Data!$G$2:$G$1801,Data!$R$2:$R$1801,1)),0) KPI: Snap open rate
Dashboard!B13 =IFERROR(AVERAGEIFS(Data!$I$2:$I$1801,Data!$R$2:$R$1801,1),0) KPI: Stories viewed / user
Dashboard!E13 =IFERROR((SUMIFS(Data!$J$2:$J$1801,Data!$R$2:$R$1801,1))/(SUMIFS(Data!$F$2:$F$1801,Data!$R$2:$R$1801,1)),0) KPI: Spotlight time share
Dashboard!H13 =IFERROR(AVERAGEIFS(Data!$K$2:$K$1801,Data!$R$2:$R$1801,1),0) KPI: Lens uses / user
Dashboard!K13 =IFERROR((COUNTIFS(Data!$R$2:$R$1801,1,Data!$L$2:$L$1801,"Yes"))/(COUNTIFS(Data!$R$2:$R$1801,1)),0) KPI: Map users
Dashboard!N13 =IFERROR((COUNTIFS(Data!$R$2:$R$1801,1,Data!$M$2:$M$1801,">=30"))/(COUNTIFS(Data!$R$2:$R$1801,1)),0) KPI: Long streaks (30+ days)
Dashboard!B17 =IFERROR((COUNTIFS(Data!$R$2:$R$1801,1,Data!$N$2:$N$1801,"Yes"))/(COUNTIFS(Data!$R$2:$R$1801,1)),0) KPI: Plus subscribers
Dashboard!E17 =SUMIFS(Data!$O$2:$O$1801,Data!$R$2:$R$1801,1) KPI: Ad impressions
Dashboard!H17 =SUMIFS(Data!$P$2:$P$1801,Data!$R$2:$R$1801,1) KPI: Ad revenue
Dashboard!K17 =IFERROR((SUMIFS(Data!$P$2:$P$1801,Data!$R$2:$R$1801,1))/(COUNTIFS(Data!$R$2:$R$1801,1)),0) KPI: Ad revenue / user-day
Dashboard!N17 =IFERROR((COUNTIFS(Data!$R$2:$R$1801,1,Data!$D$2:$D$1801,"18-20")+COUNTIFS(Data!$R$2:$R$1801,1,Data!$D$2:$D$1801,"21-24"))/(COUNTIFS(Data!$R$2:$R$1801,1)),0) KPI: Age 18-24 share
Calc!B5 =IFERROR(AVERAGEIFS(Data!$F$2:$F$1801,Data!$R$2:$R$1801,1,Data!$D$2:$D$1801,$A5),0) By age band: Avg minutes for 18-20 (copied down)
Calc!C5 =IFERROR(AVERAGEIFS(Data!$G$2:$G$1801,Data!$R$2:$R$1801,1,Data!$D$2:$D$1801,$A5),0) By age band: Avg snaps for 18-20 (copied down)
Calc!D5 =IFERROR(AVERAGEIFS(Data!$K$2:$K$1801,Data!$R$2:$R$1801,1,Data!$D$2:$D$1801,$A5),0) By age band: Avg lenses for 18-20 (copied down)
Calc!B13 =SUMIFS(Data!$P$2:$P$1801,Data!$R$2:$R$1801,1,Data!$B$2:$B$1801,$A13) By month: Ad revenue for Jan (copied down)
Calc!C13 =IFERROR(AVERAGEIFS(Data!$F$2:$F$1801,Data!$R$2:$R$1801,1,Data!$B$2:$B$1801,$A13),0) By month: Avg minutes for Jan (copied down)
Calc!B23 =IFERROR(IF($A23="Spotlight",SUMIFS(Data!$J$2:$J$1801,Data!$R$2:$R$1801,1),SUMIFS(Data!$F$2:$F$1801,Data!$R$2:$R$1801,1)-SUMIFS(Data!$J$2:$J$1801,Data!$R$2:$R$1801,1)),0) Where time goes (minutes): Minutes for Spotlight (copied down)
Calc!B29 =IFERROR(CHOOSE(MATCH($A29,{"0-9","10-29","30-99","100+"},0),COUNTIFS(Data!$R$2:$R$1801,1,Data!$M$2:$M$1801,"<10"),COUNTIFS(Data!$R$2:$R$1801,1,Data!$M$2:$M$1801,">=10",Data!$M$2:$M$1801,"<30"),COUNTIFS(Data!$R$2:$R$1801,1,Data!$M$2:$M$1801,">=30",Data!$M$2:$M$1801,"<100"),COUNTIFS(Data!$R$2:$R$1801,1,Data!$M$2:$M$1801,">=100")),0) Streak bands: Users for 0-9 (copied down)
Calc!B37 =COUNTIFS(Data!$R$2:$R$1801,1,Data!$C$2:$C$1801,$A37) By city: User-days for Pune (copied down)
Calc!C37 =SUMIFS(Data!$P$2:$P$1801,Data!$R$2:$R$1801,1,Data!$C$2:$C$1801,$A37) By city: Ad revenue for Pune (copied down)
Calc!D37 =IFERROR(AVERAGEIFS(Data!$F$2:$F$1801,Data!$R$2:$R$1801,1,Data!$C$2:$C$1801,$A37),0) By city: Avg minutes for Pune (copied down)
Calc!E37 =IFERROR(COUNTIFS(Data!$R$2:$R$1801,1,Data!$C$2:$C$1801,$A37,Data!$L$2:$L$1801,"Yes")/COUNTIFS(Data!$R$2:$R$1801,1,Data!$C$2:$C$1801,$A37),0) By city: Map users % for Pune (copied down)
Calc!F37 =C37+ROW()/1000000 By city: Rank key for Pune (copied down)
Dashboard!D55 =IFERROR(INDEX(Calc!$A$37:$A$42,MATCH(LARGE(Calc!$F$37:$F$42,$B55),Calc!$F$37:$F$42,0)),"-") Cities ranked by ad revenue: column 'City' (copied down)
Dashboard!F55 =IFERROR(INDEX(Calc!$B$37:$B$42,MATCH(LARGE(Calc!$F$37:$F$42,$B55),Calc!$F$37:$F$42,0)),"-") Cities ranked by ad revenue: column 'User-days' (copied down)
Dashboard!H55 =IFERROR(INDEX(Calc!$C$37:$C$42,MATCH(LARGE(Calc!$F$37:$F$42,$B55),Calc!$F$37:$F$42,0)),"-") Cities ranked by ad revenue: column 'Ad revenue' (copied down)
Dashboard!J55 =IFERROR(INDEX(Calc!$D$37:$D$42,MATCH(LARGE(Calc!$F$37:$F$42,$B55),Calc!$F$37:$F$42,0)),"-") Cities ranked by ad revenue: column 'Avg minutes' (copied down)
Dashboard!L55 =IFERROR(INDEX(Calc!$E$37:$E$42,MATCH(LARGE(Calc!$F$37:$F$42,$B55),Calc!$F$37:$F$42,0)),"-") Cities ranked by ad revenue: column 'Map users %' (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 Snap open rate An average of averages gives the wrong answer. Divide totals, as the KPI formula does: =IFERROR((SUMIFS(Data[SnapsOpened],Data[Inc],1))/(SUMIFS(Data[SnapsSent],Data[Inc],1)),0)
Adding rows below row 1801 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 Snapchat data. Always say 'example data' when you share a screenshot.

9. FAQ

How do I calculate Snap open rate in Excel?

Share of sent snaps that the receiver opened. The workbook uses =IFERROR((SUMIFS(Data[SnapsOpened],Data[Inc],1))/(SUMIFS(Data[SnapsSent],Data[Inc],1)),0) in Dashboard!N9.

How do I calculate Ad revenue / user-day in Excel?

Ad revenue ÷ user-days. Formula: =IFERROR((SUMIFS(Data[AdRevenue],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, Age band, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.

Is this real Snapchat data?

No. All 1,800 rows are made up for practice. The colours are only inspired by the brand. It is not an official Snapchat 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 Sessions / day.
  2. Which age band is highest in the chart 'Snaps and lenses by age band'?
  3. Add one new row to the Data sheet and check that User-days 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 Austin (Medium): Total of D2:D11 where B is "Basic" and C is "Austin".
  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 Chloe Dubois (Medium): The Seats for "Chloe Dubois" (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".