What you’ll need
- Make.com — Cheapest visual automation; handles HTTP, CSVs, Slack, Sheets natively.
- A Google account — Free Google Sheets handles 5+ years of daily commission data without hitting limits.
- Slack (optional) — For income alerts. SMS via Twilio also works if you prefer.
- CSV exports from each affiliate program — Most networks (Impact, ShareASale, CJ) let you schedule daily CSV emails. Jasper, ConvertKit, Surfer give you a download button.
The 6-step workflow
Step 1: Set up the Google Sheet structure (5 minutes)
One sheet per program: columns for Date, Program, Clicks, Sales, Commission, Status (pending/approved/paid). Add a Dashboard tab with SUMIFs that roll up daily/weekly/monthly totals across programs. Template available in the free toolkit.
Step 2: Create the Make.com scenario (10 minutes)
Trigger: Schedule (run daily at 9am UTC). Action 1: Watch Gmail for emails matching “[Affiliate Report]” subject. Action 2: Parse the attached CSV via Make’s built-in CSV module. Action 3: Append rows to your Google Sheet.
Step 3: Add per-program parsing (15 minutes)
Each program’s CSV has different columns. Add a Router after CSV parsing with branches for each program (Impact, Jasper, ConvertKit, etc.). Each branch maps the program’s specific column names to your standardized Sheet columns. Takes 90 seconds per program once you know the pattern.
Step 4: Build the alert logic (8 minutes)
Add an aggregator after the Router that sums today’s commissions across all programs. If the total crosses your alert threshold (e.g., $100), trigger a Slack module that posts to your #affiliate-revenue channel. Optional: send a “low day” alert if total is <30% of 7-day average.
Step 5: Test with sample data (5 minutes)
Make.com’s “Run Once” button executes the scenario with your latest data without scheduling. Verify each row hits your Sheet. Verify Slack alert format. Fix any column mismatches.
Step 6: Schedule and monitor (2 minutes)
Activate the scenario. Make.com’s logs tab shows every run. Check daily for the first week to catch edge cases (CSV format changes are common). After week 1, this runs hands-off for months.
Pro tip
The single biggest gotcha: affiliate networks change CSV column names every 3–6 months without notice. Add a Make.com Error Handler that posts to Slack when a parsing step fails — you’ll catch the change in hours instead of weeks.
FAQ
Can I use Zapier for this instead?
Yes, but it costs roughly 3x more for the same volume. Zapier’s task pricing punishes multi-step workflows; Make.com’s ops-based pricing rewards them. See our full comparison.
What if a program doesn’t email CSVs?
Two options. (1) Schedule manual exports weekly, drop them in a Google Drive folder, and watch the folder in Make.com. (2) Some networks (Impact, Awin) have APIs — use Make’s HTTP module to pull data directly.
How much does this cost to run?
Make.com Core plan ($9/mo) covers 10,000 operations. A daily scenario checking 8 programs uses about 240 ops/month — you have headroom for 40+ similar scenarios. See our budget automation comparison for even cheaper options.
What about real-time tracking?
Most affiliate networks don’t support real-time data — their dashboards lag 4–24 hours. Daily aggregation is the practical maximum. If you want closer to real-time, build a Make.com scenario that polls each network’s API hourly (3,000 ops/day on 8 programs).
Do I need to be technical to do this?
No — the steps above are all drag-and-drop in Make.com’s visual builder. Total code: zero. Plan on 2 hours for your first scenario; subsequent ones take 20 minutes each.
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Last verified: 28 May 2026 · methodology · Affiliate disclosure
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