Attribution
The process of identifying which marketing touchpoints contribute to a conversion or sale.
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Definition
Attribution is the analytical process of determining which marketing channels, campaigns, and touchpoints contribute to conversions. With users encountering multiple touchpoints before converting, attribution helps marketers understand what is actually driving results.
Attribution models include: last-touch (all credit to final interaction), first-touch (all credit to initial discovery), linear (equal credit to all touchpoints), time-decay (more credit to recent touchpoints), and data-driven/algorithmic (ML-determined credit).
Attribution has become harder with privacy regulations (GDPR, iOS privacy), the deprecation of third-party cookies, and cross-device usage. Modern attribution increasingly relies on first-party data, marketing mix modeling, and incrementality testing.
Why It Matters for Founders
Without attribution, you cannot know which marketing investments are working. You might be pouring money into channels that do not contribute to conversions while underinvesting in the channels that do. Attribution enables data-driven budget allocation.
For startups, perfect attribution is impossible and should not be the goal. Focus on directional accuracy: use UTM parameters consistently, track first and last touch channels, and complement attribution data with incrementality tests to validate what is truly driving growth.
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Real-World Example
A customer sees a Facebook ad (Day 1), reads a blog post (Day 5), clicks a Google ad (Day 10), and signs up (Day 12). Multi-touch attribution assigns credit to each touchpoint.
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Frequently Asked Questions
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