Attribution Models
Overview of the Ruler Analytics Attribution Models available in your Reports.
Model | What it does | Why it's useful | Considerations |
---|---|---|---|
First Touch Attribution | Gives all the credit to the very first interaction a customer has with your brand. | Great way to measure your brand awareness campaigns, to understand your top-of-funnel strategy. | Ignores everything that happens after the first click, including the actual conversion trigger. |
Last Click Attribution | Gives 100% of the credit to the final interaction before a user converts. | Helps identify what closes the deal - ideal for bottom-of-funnel optimisations. | Doesn’t give any credit to the earlier channels that generated awareness and created the lead. |
Linear Attribution | Splits credit evenly across all touchpoints. | Simple, fair, and gives a complete view of users whole journey. | Increased touchpoints can dilute credit across channels. |
Position Based Attribution | 40% to the first touch, 40% to the lead conversion point, and the remaining 20% is shared across the remaining touchpoints. | Highlights the awareness and lead nurturing steps. | Middle-stage channels can get overshadowed such as remarketing or email campaigns. |
Time Decay Attribution | Gives more credit to the touchpoints closest to conversion. | Gives more credit to the final stages and touchpoints of a conversion. | Early awareness generating channels don’t get any recognition. |
DDA & Impression Model | A combination of DDA and Impression Based Attribution. Reviews the whole customers journey and interaction with your site as well as applying credit for non click based activity from Impressions. | Channels that build awareness (like display or video, meta ads) rarely get clicks so get little credit when using click-only models. The impression model redistributes credit back to those upper-funnel efforts, ensuring they’re recognised for their role so you can measure true effectiveness. | Can only be used when running channels that have Impression level data. |
Updated about 13 hours ago