Your Attribution Model Is Lying
Your tools say this channel drives revenue. When you test by cutting it, nothing changes.
Another channel shows zero credit. But when you reduce spend, revenue drops immediately.
Your data doesn't match reality.
Why This Matters Right Now
Decisions based on false attribution are worse than random decisions.
You're optimizing toward metrics that don't drive revenue.
You're cutting channels that actually work.
You're funding channels that don't.
The longer you optimize toward false signals, the worse your results become.
Questions on Attribution
Why is attribution so hard to get right?
Attribution is hard because customer journeys are nonlinear. One touchpoint gets credit but many touchpoints influenced the decision. Last-click attribution is easiest but least accurate. Multi-touch attribution is more accurate but harder to implement. The question is not what attribution model is perfect, but which one is true enough for your decisions.
How do I know if my attribution is lying to me?
Attribution is lying if you can't explain why results changed. If you cut a channel and revenue didn't move, your attribution probably over-credits that channel. If you increase spend in a channel but only last-click revenue moves, you have a model problem. Test changes and watch what actually happens. That's your truth.
Should I use multi-touch attribution or last-click?
It depends on your business. Last-click works for quick-decision, low-consideration purchases. Multi-touch works for complex, long-cycle deals. The best model is the one that matches how your customers actually buy. Your attribution model should reflect customer reality, not tool defaults.
Can I fix attribution without changing my data infrastructure?
Maybe. If you have clean CRM data and good user tracking, you can layer better attribution on top. If not, you need better data first. A marketing transformation includes infrastructure audit. You see what data you have and what you need. Then you upgrade attribution from there.
What if I have no attribution model at all?
That's actually common. Most teams use last-click because it's the default. Start with an audit. You map your customer journey by how customers actually buy, not by how your tools track. Then you build attribution around reality. That takes research but it's faster than you think.