Definition
Email attribution model comparison evaluates how different attribution methodologies assign conversion credit across marketing touchpoints. The choice of attribution model dramatically affects which campaigns and channels appear most effective. A last-click model credits the final touchpoint before conversion, favouring bottom-of-funnel campaigns. A first-touch model credits the initial discovery, favouring top-of-funnel activities. Multi-touch models distribute credit across multiple interactions, providing a more balanced view of campaign contribution.
Common Attribution Models
- First-touch: Full credit to the first interaction. Best for measuring awareness and acquisition campaigns.
- Last-click: Full credit to the final interaction before conversion. Standard default in many platforms but favours late-stage campaigns.
- Linear: Equal credit to every touchpoint. Simple but does not weight interactions by importance.
- Time-decay: More credit to touchpoints closer to conversion. Balances first and last interaction influence.
- Data-driven: Machine learning distributes credit based on statistical analysis of conversion paths. GA4 and some advanced platforms offer this.
- Position-based: 40% credit to first and last touchpoints, 20% distributed across middle interactions.
Best Practices
- Compare campaign rankings under different models rather than relying on a single attribution method
- Use first-touch or linear attribution for upper-funnel campaign evaluation
- Use last-click or time-decay for conversion-focused campaign evaluation
- Document which attribution model is used in all reporting so stakeholders understand the methodology
- Review attribution model selection annually as the customer journey evolves
Related Glossary Terms
A/B Testing
A/B testing in email marketing is the practice of sending two variations of an email to a small sample of your list to determine which version performs better before sending the winner to the remaining subscribers.
Abandoned Cart Email
An abandoned cart email is an automated message sent to customers who added items to their online shopping cart but left without completing the purchase. It is one of the highest-converting email types in ecommerce.
ARPU (Average Revenue Per User)
ARPU (Average Revenue Per User) is a metric that measures the average revenue generated per email subscriber over a specific period, used to evaluate list value and campaign effectiveness.
Attention Rate
Attention rate is the percentage of email opens that last longer than 5 seconds, distinguishing genuine reads from passive opens, preview-pane views, or Apple MPP auto-loads.
Bounce Rate Threshold
A bounce rate threshold is the percentage of hard or soft bounces at which email platforms and ISPs begin to penalise sender reputation, typically around 2-5%.
Bounce Rate
Email bounce rate is the percentage of emails that were rejected by the receiving server before reaching the recipient. It is a key indicator of list health and data quality.