Attribution answers a deceptively simple question: which marketing efforts actually caused a sale? Get it wrong and you will pour money into channels that look good in a report but contribute nothing to the bottom line.
The common models
- First-touch: all credit goes to the channel that first introduced the customer. Good for understanding awareness; blind to everything that closed the deal.
- Last-touch: all credit goes to the final interaction before purchase. Simple, but it overvalues bottom-of-funnel channels and ignores the work that warmed the lead.
- Linear: credit is split evenly across every touchpoint. Fair, but it treats a throwaway visit the same as a decisive demo.
- Time-decay: touchpoints closer to the sale get more credit. A reasonable default for longer sales cycles.
- Data-driven: credit is assigned by modeling which interactions actually correlate with conversions. The most accurate, and the most demanding to set up.
There is no perfect model
Every model is a simplification of messy human behavior. The goal is not perfection; it is a consistent lens that helps you make better budget decisions than you would by guessing.
How to choose
Short sales cycle with few touchpoints? Last-touch is often good enough. Long, multi-channel journey? Move toward time-decay or data-driven. Whatever you pick, apply it consistently so you are comparing like with like over time.
Beware the dark funnel
Some of the most influential touchpoints — a podcast mention, a recommendation in a group chat, a conversation at an event — never appear in your analytics at all. Pair your attribution data with a simple “how did you hear about us?” question to catch what the tracking misses.