The Scenario
You're a growth analyst at a SaaS company. You have six months of affiliate conversions sitting in Tapfiliate — 12,000 records across three programs — and you need to build an attribution model that shows which affiliate channels are actually driving retained revenue versus one-time purchases.
The data isn't in Sheets yet. It's inside Tapfiliate, paginated across an interface designed for program managers, not analysts.
The bad version:
- Go to Tapfiliate's conversions report, filter by date, click export.
- Open the CSV. The date field is in a format your pivot table doesn't recognize. The affiliate name column is split from the affiliate ID column. Program names are numeric IDs, not labels.
- Spend an hour joining the CSV against your program lookup table, reformatting dates, and fixing the affiliate name column before the data is usable.
You do this every time you need a fresh pull. The export file is never quite in the shape you need, and the cleanup becomes a recurring tax on your analysis time.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Tapfiliate's API directly and writes conversion records into your sheet in the structure you actually need for analysis.
List all Tapfiliate conversions from the last 6 months and write them to this sheet — one row per conversion with affiliate name, program, conversion date, order value, and commission amount
What You Get
- One row per conversion, covering the full six-month window.
- Columns: affiliate name (not just ID), program name (not numeric ID), conversion date in a consistent format, order value, and commission amount.
- Data lands analysis-ready — no reformatting step between the pull and your pivot table.
- 12,000 rows pulled in one operation.
What If the Data Is Not Quite Ready
You only want conversions with a specific approval status
Your attribution model should only count approved conversions, not pending ones that might be reversed.
Fetch all Tapfiliate conversions from the last 6 months where approval status is approved. Write them to this sheet with affiliate name, program, conversion date, order value, and commission amount
Program IDs in Tapfiliate don't match the labels your team uses internally
Your team calls them "Influencer," "Reseller," and "Referral" — Tapfiliate has different internal program names.
Pull all conversions from Tapfiliate for the last 6 months. Map the program names using the lookup in the Programs tab (column A is Tapfiliate program name, column B is the internal label) and write the internal label to the Program column in the output
You need to join conversion data against a customer table for retention analysis
Your customer table is on the Customers tab, with email in column A and first-purchase date in column B.
Pull all Tapfiliate conversions from the last 6 months into the Conversions tab. For each conversion, check the customer email against the Customers tab and write "returning" or "new" in a Status column based on whether that email appears in the Customers tab
Attribution model setup in one prompt
Pull all Tapfiliate conversions from the last 6 months where status is approved. For each conversion, match the customer email against the Customers tab to flag new vs. returning, map program IDs to internal labels using the Programs tab, and write the results to the Conversions tab with columns for affiliate name, internal program label, conversion date, order value, commission, and customer type
One prompt constructs the attribution dataset from raw Tapfiliate data plus your two reference tabs.
Try It
Get the 7-day free trial of SheetXAI and open a blank sheet — then ask it to pull your Tapfiliate conversion records for whatever date range your analysis needs. For the revenue picture, pair this with exporting commission records or listing affiliate balances.