Once you’ve mastered the basics of attribution, advanced models help you dig deeper into how multiple touchpoints contribute to a conversion. These models are ideal for businesses that want more nuanced insights into their customers’ paths to purchase.
Advanced attribution models can influence how you value each ad interaction—whether you're trying to optimize ROAS, allocate budget, or understand where your brand is driving the most influence.
Here are the advanced attribution models available in Lebesgue.
Full Credit Attribution
What it is:
Each campaign or ad in a customer’s path to purchase receives 100% of the credit.
Best for:
Understanding the impact of every single touchpoint and identifying campaigns that assist conversions—even if they didn’t happen last.
Example:
A user interacts with 4 campaigns before converting. Full Credit Attribution assigns 100% conversion credit to all 4 campaigns, meaning the total credit is duplicated across each.
Useful for understanding assist value of campaigns, but keep in mind that this model inflates conversion numbers for reporting purposes.
Time-Decay Attribution
What it is:
Credit is distributed based on how recent each touchpoint was. The closer the touchpoint is to the conversion, the more credit it receives.
Best for:
Highlighting campaigns that help close the sale while still giving value to earlier interactions.
Example:
A user sees a Meta ad 10 days before purchase, a Google ad 3 days before purchase, and clicks a retargeting TikTok ad just before buying.
The TikTok ad will receive the most credit, the Google ad less, and the Meta ad the least.
Great for businesses with longer sales cycles or multiple ad touches over time.
Position-Based Attribution (U-Shaped)
What it is:
Also called U-Shaped attribution, this model gives the first and last touchpoints the most credit—typically 40% each—and divides the remaining 20% among the middle interactions.
Best for:
Tracking both initial discovery and the final conversion driver, while still acknowledging supporting campaigns in between.
Example:
A user interacts with a Meta ad (first), a Google ad, a Pinterest ad, and a TikTok ad (last) before converting.
The Meta and TikTok ads each get 40% credit, and the Google and Pinterest ads split the remaining 20% (10% each).
Ideal if you value both awareness and conversion equally in your funnel.
Choosing the Right Model
There’s no one-size-fits-all approach. The best attribution model depends on your goals:
Goal | Recommended Model |
Understand top-of-funnel impact | First Touch, Position-Based |
Optimize conversion drivers | Last Touch, Time-Decay |
Credit all influence fairly | Linear, Full Credit |
Account for time proximity | Time-Decay |
Many businesses also switch between models to analyze their performance from multiple perspectives—and with Lebesgue, you can do that with a single click.
Need Help?
If you need help understanding or switching attribution models, we’re here to help:
Chat with Us: Use the chat icon in the app or on our website to get support.
Schedule a Call: Book a personalized consultation with our Customer Success team and speak directly with:
Tony, Customer Success Lead – Book a Call
Paula, Customer Success & Support Manager – Book a Call
We’re here to make attribution work for your unique business needs.
Related Articles:
Understanding Basic Attribution
Understanding Attribution Models
How Do I Set Up My UTM Tags?
Explaining Landing Page Analytics
How Can I Interpret The Campaign Intersection Analysis?