The Scenario
You shipped a major product update six weeks ago and you've been meaning to look at whether traffic actually moved. Not a gut check — real numbers. Daily visitors and pageviews for the past 90 days, plotted in Excel so you can see whether the spike around launch held or faded, and whether bounce rate shifted with the new landing page copy.
The Plausible dashboard shows you this, more or less. But your Excel workbook — the one with the launch timeline, the feature flags, the ad spend by week — doesn't. You want the traffic data next to the context, not open in a separate browser tab.
The bad version:
- Navigate to Plausible, set the date range to the last 90 days, and try to export the daily breakdown — only to find the CSV option isn't visible in that view, and when you do find it the date column arrives as text that Excel won't parse as a date without manual intervention.
- Open the CSV in a new Excel workbook, convert the date column using Text to Columns, copy the range, switch back to your main workbook, and paste into the right worksheet.
- Realize the 90 rows are now sorted in the wrong order for your chart, reverse-sort them, and discover the column headers don't match your existing layout — so you manually rearrange visitors, pageviews, and bounce rate one column at a time.
That's the wrong way to spend the hour before a product retrospective. The real cost isn't the time — it's walking in with a half-assembled chart and hoping the story reads clearly.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It connects to Plausible Analytics directly and writes the query results into whatever worksheet and range you point it at — no CSV, no reformatting.
Open your Excel workbook, find the Traffic Trends worksheet, and run this prompt:
Query Plausible Analytics for daily timeseries data — visitors, pageviews, bounce_rate, visit_duration — for the past 90 days for my site and write the date and each metric into columns A through E of this Excel sheet, one row per day — then add a 7-day rolling average formula in column F for visitor count
What You Get
- Column A: date, formatted as an Excel date value, one row per day for 90 rows
- Column B: unique visitors for that day
- Column C: pageviews
- Column D: bounce rate as a decimal
- Column E: average visit duration in seconds
- Column F: 7-day rolling average formula for visitors, ready to chart
- Days with no traffic return a zero row, so your chart range stays continuous
What If the Data Is Not Quite Ready
The date column is arriving as text and breaking your Excel chart
Query Plausible for daily timeseries data for the past 90 days and write the date into column A formatted as an actual Excel date value — then write visitors (B), pageviews (C), bounce rate (D), and visit duration (E)
You want to join the traffic data to your campaign calendar on a separate worksheet
Query Plausible for 90 days of daily visitors and write each date and visitor count into columns A and B of Traffic Raw — then in the Dashboard worksheet, do a VLOOKUP from column A against the campaign calendar in Campaign Dates to show the campaign name next to each traffic date in column C
You want to flag any day where visitors dropped more than 20% below the prior day
Query Plausible for daily timeseries for the past 90 days — write date (A), visitors (B), pageviews (C) — then in column D flag any day where visitors dropped more than 20% below the prior day with the label Low traffic day
Pull the traffic data, build rolling averages, and add a conditional formatting note in one shot
Query Plausible for 90 days of daily timeseries — write date (A), visitors (B), pageviews (C), bounce rate (D), visit duration (E) — add a 7-day rolling average for visitors in column F — then in column G write Spike if visitors exceeded 150% of the 7-day rolling average on that day
One prompt, 90 rows, a rolling average, and anomaly flags — all at once.
Try It
Get the 7-day free trial of SheetXAI and open an Excel workbook where you track web performance or product launch timelines — then ask it to pull 90 days of daily Plausible data into a trend table. For related reads, see the hub overview or the spoke on UTM campaign performance.