Incrementality
The concept of measuring whether your ads actually cause conversions or merely correlate with them
Answers the fundamental question: "Would these conversions have happened without my ads?"
Incremental Lift
The measurement of incrementality, expressed as the difference in conversion rates between users who saw your ads (test group) and similar users who didn't (control group).
Formula: Incremental conversions = (Conversion rate of exposed group) - (Conversion rate of control group)
Example: If 1% of users who saw ads converted and 0.2% of similar users who didn't see ads also converted, your incremental lift is 0.8%—meaning 80% of attributed conversions are truly incremental.
Why It Matters More in Web3
Web3 has high organic discovery. Protocols are constantly discussed on Twitter, Discord, and Telegram. KOLs create awareness organically. Active users hunt for new opportunities. This means baseline conversion rates without ads are higher than in traditional industries.
Without incrementality testing, you're potentially claiming credit for organic growth and scaling campaigns that don't actually work.
Benchmark Results
Poor campaigns: 10-30% incrementality (most conversions would happen anyway) Average campaigns: 30-50% Good campaigns: 50-70% (clearly driving growth beyond organic) Excellent campaigns: 70%+ (strong causal impact)
A campaign with 6x incremental lift means the exposed group converts 6x higher than control—worth scaling aggressively.
Budget Impact
Incrementality transforms ROI calculation.
Without incrementality: $10K spend, 500 attributed conversions = $20 CPA With 40% incrementality: only 200 conversions are incremental = $50 true CPA
The campaign may still be viable, but it's nowhere near as effective as attribution suggested. This fundamentally changes scaling decisions and budget allocation.