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Correlation vs. causation
Two things happening together doesn't mean one caused the other.
Example
A customer who saw an ad and later visited a store may have visited anyway — the timing alone doesn't prove the ad caused the visit.
Why marketers care
It's the single most common measurement mistake — mistaking a correlation (exposure followed by a conversion) for proof of a causal effect (the exposure caused the conversion).