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 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 sheet — 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 tab.
The bad version:
- Navigate to Plausible, set the date range to the last 90 days, and screenshot or manually copy the aggregate numbers — only to realize you need the daily breakdown, which requires switching to the detailed view.
- Export the CSV, open it, discover the date column is formatted as text, spend 20 minutes converting it so your chart doesn't break.
- Paste the 90-row table into your sheet, realize the columns don't match your existing layout, and manually rearrange visitors, pageviews, bounce rate, and visit duration one by one.
That's the wrong way to spend the hour before a product retrospective. The real constraint isn't time — it's that nobody wants to walk into a room with a half-assembled chart and hope the trend reads clearly.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Plausible Analytics directly and writes the query results into whatever range you point it at — no export, no reformatting.
Open your Google Sheet, find the Traffic Trends tab, 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 the Traffic Trends sheet, one row per day
What You Get
- Column A: date, formatted as YYYY-MM-DD, one row per day for 90 rows
- Column B: visitors (unique visitors for that day)
- Column C: pageviews
- Column D: bounce rate as a decimal (e.g., 0.54 for 54%)
- Column E: average visit duration in seconds
- Any days with no traffic return a zero row, not a blank, so your chart range stays continuous
What If the Data Is Not Quite Ready
The date column is landing as text and breaking your chart
Query Plausible for daily timeseries data for the past 90 days and write the date into column A formatted as an actual date value, not text — then write visitors (B), pageviews (C), bounce rate (D), and visit duration (E)
You want a 7-day rolling average added automatically
Query Plausible for 90 days of daily timeseries data, write date (A), visitors (B), pageviews (C), bounce rate (D), and visit duration (E) — then add a rolling 7-day average formula in column F for visitor count starting from row 8
You want to join the traffic data to your campaign calendar on a separate tab
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 tab, 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
Pull the traffic data, flag the drop-off, and annotate the anomalies in one shot
Query Plausible for daily timeseries data 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, and in column E write a note saying Low traffic day for those rows
The pattern here: cleanup, calculation, and annotation all in one prompt — no intermediate manual steps.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet with your traffic tracking setup — or a blank one — 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 pulling UTM campaign performance.