Why ad platforms lie about conversions and how to fix attribution

Executive overview

Facebook, Google, and every paid platform claim credit for conversions that other channels drove. Customers rarely convert on first touch — they move across LinkedIn, email, search ads, and Twitter before buying.

Each platform attributes the conversion to itself, distorting your ROI data. Use multi-touch attribution in Google Analytics to see what actually drives revenue.

How platforms misreport conversions

• A customer finds you via LinkedIn, subscribes to your newsletter, clicks emails, then searches Google and clicks a paid ad — but doesn't convert yet
• They later return via Twitter and complete the purchase
• Google reports the conversion as Google-driven; Facebook does the same for its own clicks
• All paid platforms self-attribute, even when the customer first found you through another channel

The rule of seven and omnichannel

• Customers typically interact with a brand seven times before converting
• This makes omnichannel necessary — but also makes attribution harder
• No single channel deserves full credit for most conversions

Attribution models explained

1. Last click — all credit to the final touchpoint before conversion (historical default)
2. Time decay — credit weighted by recency of each interaction
3. Linear — equal credit split across every touchpoint
4. Position based — credit concentrated on first and last touch
5. First click — all credit to the channel that first brought the visitor
6. Data driven — uses historical data; shifts dynamically per conversion path

Choosing and applying a model in Google Analytics

• Position based gives credit to first touch (how they found you) and last touch (what triggered conversion) — practical for most businesses
• To apply: Admin → Attribution settings → select your model
• No single model is universally correct; the goal is consistent, honest measurement