The Scenario
You are a monetization analyst. The board deck is due Thursday. The ask: twelve months of ARPU and ARPPU across three plan tiers (Starter, Growth, Enterprise), in a grouped bar chart that makes it obvious which tier drives the most per-user revenue.
The data is in Amplitude's revenue analysis views. The board deck needs a Google Sheet with the numbers, clean column labels, and a chart that does not require manual reformatting every quarter.
The slow version:
- Open Amplitude, navigate to Revenue LTV, configure the monthly ARPU chart for the past 12 months
- Export CSV
- Go back, switch to ARPPU, configure, export a second CSV
- Do the same for all three plan tiers — six exports
- Open Google Sheets, paste everything, reconcile headers across six files
- Build the grouped bar chart manually
- It is Wednesday night and the chart still does not look right.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI connects to Amplitude's Revenue LTV API and writes both metrics across all plan tiers into the sheet in one structured pass.
Open the SheetXAI sidebar and type:
Fetch monthly ARPU and ARPPU from Amplitude for the past 12 months, segmented by plan_type. Write month labels in column A. For each plan tier (Starter, Growth, Enterprise), write ARPU in one column and ARPPU in the next. Add a header row.
SheetXAI pulls all six data series (2 metrics × 3 tiers), writes the structured table, and adds headers. Your grouped bar chart needs one click to build.
What You Get
A structured monthly revenue table with headers:
- Column A — month labels (12 rows, one per month)
- Columns B–C — Starter ARPU and ARPPU
- Columns D–E — Growth ARPU and ARPPU
- Columns F–G — Enterprise ARPU and ARPPU
The table is chart-ready. Select the range, insert a grouped bar chart, and every plan tier's metrics are correctly grouped by month without manual reformatting.
Need a different time window? Swap "past 12 months" for "last two quarters" and the shape stays identical.
What If the Data Is Not Quite Ready
Revenue LTV data from Amplitude often needs shaping before it is board-ready. SheetXAI handles the restructuring in the same prompt.
When Amplitude returns plan names that do not match your internal labels
Amplitude stores plan_type as "starter_plan", "growth_plan", "enterprise_plan" in snake_case. The board deck uses clean names.
Fetch monthly ARPU and ARPPU from Amplitude for the past 12 months segmented by plan_type. Write into the table structure with months in column A. Rename the plan tier labels from snake_case to clean display names: 'starter_plan' becomes 'Starter', 'growth_plan' becomes 'Growth', 'enterprise_plan' becomes 'Enterprise'.
When you need to add a derived metric like ARPU/ARPPU ratio
The board wants to see payment conversion rate (ARPU / ARPPU = the fraction of users who are paying) alongside the raw numbers.
Pull monthly ARPU and ARPPU for the past 12 months segmented by plan tier. Write the structured table. After writing, add a new column for each tier showing the ARPU/ARPPU ratio (a measure of paying-user density). Format ratios as percentages.
When you want to flag months where ARPU dropped more than 5% month over month
The deck should call out revenue softness before the board asks about it.
Fetch monthly ARPU from Amplitude for the past 12 months, segmented by plan tier. Write the table. After writing, add a column for each tier showing the month-over-month ARPU change as a percentage. Flag any month where ARPU dropped more than 5% with "ALERT" in an adjacent column.
When you need the full table, derived metrics, anomaly flags, and a written summary all in one pass
The board presentation needs the chart, the ARPU/ARPPU ratio, and a two-sentence takeaway identifying the best-performing tier.
Pull monthly ARPU and ARPPU from Amplitude for the past 12 months segmented by plan type. Write the structured table with months in column A and ARPU/ARPPU pairs per tier in columns B–G. Add a derived column for each tier showing ARPU/ARPPU ratio as a percentage. Flag any month where ARPU dropped more than 5% month over month. Then write a two-sentence takeaway in cell I1 identifying which tier had the highest average ARPU across the 12 months and whether ARPU trended up or down over the period.
The pattern: the data pull, the derived metrics, the flags, and the written takeaway all happen in one prompt. The board deck has the chart and the narrative before Thursday.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet, then ask it to pull Amplitude revenue LTV metrics with whatever segmentation and time range the board requires. The Amplitude integration is included in every plan. For related workflows, see how to pull event segmentation data for trend analysis or the Amplitude in Google Sheets overview.