The Scenario
You inherited a regional pricing study from someone who moved to a different team. The goal: compare Target prices and availability for 10 specific SKUs across 5 zipcode markets — Northeast, Southeast, Midwest, West, and Southwest. The previous analyst was partway through building this in a Google Sheet when they left.
The sheet has TCINs in column A and zipcodes in column B, but columns C and D — price and availability — are empty. There's a note in cell E1 that says "use RedCircle geo-targeting" and nothing else.
The bad version:
- Look up the RedCircle API documentation for zipcode targeting parameters
- Figure out that each TCIN/zipcode combination is a separate API call — 10 TCINs times 5 zipcodes is 50 calls
- Write a script to loop through the rows, make the calls, parse the responses, and write back — realize halfway through that the sheet has TCIN/zipcode pairs on 50 separate rows (not 10 rows with 5 zipcode columns), which changes the data model entirely
You're not the analyst who built this. You don't know if the original structure was intentional or just how it ended up. And the study is due to the regional sales team by end of week.
The Easy Way: One Prompt in SheetXAI
SheetXAI reads the sheet as it exists — TCIN in column A, zipcode in column B — and calls the RedCircle API with geo-targeting for each pair.
For each TCIN in column A and zipcode in column B, fetch Target product price and availability via the RedCircle API with geo-targeting and write the result into column C for price and column D for availability
What You Get
- Column C: price for that TCIN at that zipcode market
- Column D: availability status at that location ("In Stock", "Out of Stock", etc.)
All 50 TCIN/zipcode pairs processed. Rows where the API returns no localized data are noted in column E rather than left blank.
What If the Data Is Not Quite Ready
The zipcodes in column B are inconsistent — some are 5 digits, some include the +4 extension
The RedCircle API expects 5-digit zipcodes. Passing 9-digit values may cause lookup failures.
For each row, strip the zipcode in column B to the first 5 digits, then fetch Target price and availability via the RedCircle API for the TCIN/zipcode pair and write price into column C and availability into column D
You want to compare the localized prices against a national baseline
You have the national (non-geo-targeted) price in column C already and want the localized price in column D so you can compute the variance in column E.
For each TCIN in column A and zipcode in column B, fetch the geo-targeted Target price via the RedCircle API and write it into column D, then write the difference between column D and column C into column E as a positive or negative variance
The study needs a pivot — one row per TCIN, one column per zipcode market
The data is currently in long format (one row per TCIN/zipcode pair). The regional sales team wants it wide (one row per TCIN, one price column per market).
Take the TCIN/zipcode pairs in columns A and B, fetch geo-targeted prices from the RedCircle API, and restructure the results into a wide format on tab "Pivot" — one row per TCIN, one column per unique zipcode, price values in each cell
You want pricing, availability, and a market comparison summary in one pass
You need the raw data plus a column flagging which zipcodes have the lowest price for each TCIN.
For each TCIN/zipcode pair in columns A and B, fetch geo-targeted Target price and availability from the RedCircle API, write price into column C and availability into column D, then for each TCIN in column A identify which zipcode has the lowest price and write "Best Price" in column E for that row
One prompt covers the fetch, the comparison logic, and the flagging.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with TCIN and zipcode columns, then ask it to pull geo-targeted Target pricing through RedCircle for each pair. See also the spoke on enriching a TCIN list with product details or the hub overview on connecting RedCircle API to Google Sheets.