The Scenario
You are a market research analyst. The global expansion review is in two weeks. The strategy team wants to know which countries your site is already drawing meaningful traffic from — because the next funding round is partly predicated on identifying under-served markets before the competition does.
GoSquared has been tracking country-level visitors for the last 12 months. The data is in the dashboard. But "in the dashboard" means you can look at it, not analyze it. You need country name, visitor count, and pageviews for every country GoSquared tracked, for the full 12-month window, in a Sheet where the strategy team can sort, filter, and compare against market size data they have in a separate tab.
The slow version:
- You open GoSquared and find the geographic breakdown
- You can see the countries ranked by visitors but the view is limited to the top 10 or 20 by default
- You look for an export button, do not find one that covers the full date range in the right format
- You start copying country names and numbers by hand, scrolling through the list
- Forty countries in you realize you need pageviews too and the current view only shows visitors
- You finish three days later with a sheet that took longer to build than the analysis will.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads GoSquared's geographic data through the API, so you do not have to copy from the dashboard or manage pagination manually.
Open the SheetXAI sidebar and type:
Fetch GoSquared country-level visitor metrics for the last 12 months and write country name, visitor count, and pageviews into this sheet — one row per country, sorted by visitor count descending.
SheetXAI calls the GoSquared analytics API with a 12-month date range and geographic dimension, fetches the full country breakdown, and writes every country into the sheet. You have the complete geographic picture in under a minute.
What You Get
A complete country-level traffic table covering the full year:
- Country name column — every country GoSquared detected traffic from
- Visitor count column — unique visitors from that country over 12 months
- Pageviews column — total pageviews attributed to that country
- Sorted by visitor count descending — so the highest-traffic countries surface at the top
The strategy team can immediately layer in their own data. Add a column for market size from a World Bank dataset, add a column for existing revenue from the CRM export, and you have the basis for a market prioritization model without any additional data work.
What If the Data Is Not Quite Ready
Geographic data almost always needs enrichment or reshaping before it can drive a strategic decision.
When you also need language breakdown
The strategy team wants to know not just where visitors are coming from but what languages they use, to assess localization priorities.
Pull GoSquared geographic visitor data for the last 12 months and write country, visitor count, and pageviews into this sheet. Then, below that table, write the language breakdown — language name, visitor count, and percentage of total — for the same period.
When you want to focus on non-English speaking markets
The strategy team is specifically interested in markets where English is not the primary language, as those represent localization opportunities.
Fetch GoSquared country-level visitor data for the last 12 months. Write country name, visitor count, and pageviews into this sheet. Then add a column called 'Primary Language' using the country name to infer the dominant language. Filter the table to exclude countries where the primary language is English and highlight the remaining rows.
When you need quarterly trends per country, not a full-year total
The strategy team wants to see whether certain markets are growing or declining across the four quarters of the past year, not just the annual total.
Pull GoSquared country-level visitor data broken down by quarter for the last 12 months. Write it into this sheet with columns for country, Q1 visitors, Q2 visitors, Q3 visitors, Q4 visitors, and a total column. One row per country, sorted by total visitors descending.
When you need the full market prioritization analysis in one operation
The strategy team is making decisions in two weeks. They want the geographic data, the quarterly trends, and a prioritization score all in one sheet — and they want the calculation done, not just the raw data.
Pull GoSquared country-level visitor data for the last 12 months. Write country, visitor count, and pageviews into the Geographic Data tab. Then write a quarterly breakdown — country, Q1, Q2, Q3, Q4, total — into the Trends tab. Finally, in the Priority tab, write a list of the top 20 countries by visitor count, add a Growth Score column (percentage change from Q1 to Q4, as a decimal), and sort by Growth Score descending so the fastest-growing markets appear first.
The pattern: geographic pull, trend analysis, prioritization score. One prompt produces the input the strategy team needs to make a decision.
Try It
Get the 7-day free trial of SheetXAI and ask it to pull your GoSquared geographic data into any sheet, with whatever breakdown and columns your market analysis needs. The GoSquared integration is included in every SheetXAI plan. See also how to import GoSquared traffic trends for analysis or the GoSquared in Google Sheets overview.
