Triple Whale Attribution Models: Which One to Actually Use
Ruslan Galba
Google Ads + AI
Same customer. Same $100 order. Triple Whale shows it as $200 in revenue.
No, it's not a bug. It's the attribution model you're using—and it's costing you thousands in misallocated ad spend.
Here's what's happening: Triple Attribution gives EACH platform 100% credit for shared conversions. Customer clicks a Meta ad, then a Google ad, then buys $100 worth of product. Meta gets $100 credit. Google gets $100 credit. Total "attributed" revenue: $200. Actual revenue: $100.
Most brands see "Triple Attribution" and think they're getting more complete data. Wrong. You're getting duplicated data. And if you're using this on your "All Channels" dashboard, your total revenue number is fiction.
For budget allocation decisions, use Linear (Paid). Same scenario plays out differently: Meta ad → Google ad → $100 purchase. Meta gets $50. Google gets $50. Total: $100—matching actual revenue. This is the ONLY model that tells you how to split your ad spend without duplication.
Want the full-funnel picture? Use Linear (All). Customer touches Meta ad, then email, then organic search, then buys $100. Meta: $33. Email: $33. Organic: $33. Shows how organic and email support your paid conversions. Still no duplication.
So when SHOULD you use Triple Attribution? One use case: comparing apples-to-apples with platform dashboards. Meta Ads Manager uses last-click attribution. Triple Attribution does too (per platform). That's why these numbers should match. Same logic applies for Google at 30-day windows.
The simple rule: Splitting budget between channels? Linear (Paid). Understanding full-funnel impact? Linear (All). Comparing with Meta or Google dashboards? Triple Attribution. Wrong model = wrong decisions. Every time.
Quick audit: Open your Triple Whale dashboard right now. Check which model you're using on "All Channels." If it says Triple Attribution, your total revenue number is inflated. Switch to Linear (Paid).
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