Attribution
Attribution is the process of assigning credit for a conversion to one or more marketing touchpoints.
What it means
Most users don't convert from a single touchpoint. They might see a tweet, read a blog post, click a Google ad, and finally sign up after a friend recommends the product. Attribution is the question of how you divide credit between those touchpoints.
There are several attribution models. First-touch credits the first interaction (the tweet). Last-touch credits the final one (the friend's recommendation). Linear divides credit equally across all touches. Time-decay weighs recent touches more heavily. Each model gives a different answer to 'which channel drove this signup?'.
No attribution model is correct. They're all approximations of a messy reality. The point isn't to find the 'true' answer but to pick a model that helps you make consistent decisions about where to invest.
Why it matters
Attribution determines where you spend your marketing budget. Without it, you're guessing which channels work. With it, you can compare channels fairly and shift budget toward what actually drives conversions. The wrong attribution model can make you cut your best-performing channel.
Example with real numbers
Concrete example showing how this metric works in practice.
Scenario
A user reads a blog post on Tuesday, clicks a Google ad on Wednesday, sees an Instagram post on Thursday, and signs up Friday after seeing a tweet.
What it means
First-touch attribution credits the blog post. Last-touch credits the tweet. Linear gives 25% credit to each. Time-decay credits the tweet most. Each model leads to different conclusions about which channel to invest in.
Common mistakes
Things people get wrong when measuring attribution.
Mistake 01
Using last-click attribution and concluding that direct/branded traffic is your best channel. Last-click overcredits the bottom of the funnel.
Mistake 02
Comparing attribution from different models and treating them as the same metric. They're not.
Mistake 03
Not accounting for offline or cross-device touchpoints. Attribution models can only work with what they can see.
Mistake 04
Switching attribution models often. Pick one and stick with it for at least a quarter so trend comparisons are valid.
How to track it
Most analytics tools, including Muro, support multiple attribution models. UTM parameters are essential for tracking touchpoints. The most useful approach is usually first-touch for awareness and last-touch for conversion campaigns.
Related concepts
Other terms worth learning if you're studying this one.
Common questions about attribution
Marketing attribution is the process of deciding which marketing touchpoints get credit for a conversion. Different attribution models (first-touch, last-touch, linear, etc.) credit different touches.
There's no universally 'best' model. First-touch is good for awareness campaigns. Last-touch is simple but overcredits final clicks. Linear or time-decay is more balanced. Pick one consistent model and use it long enough to spot trends.
First-touch credits the first interaction with your brand for the conversion. Last-touch credits the final interaction before signup. Both are simplifications; reality is usually somewhere in between.