Attribution Model Calculator
Compare common attribution models across a sample customer journey and see how channel credit shifts by model.
Search intent
Compare common attribution models before choosing one
Core problem
Channel decisions get stuck in model arguments instead of concrete scenario testing.
Built for
Why it fits LeadPulse
LeadPulse already captures campaign and click context, so better attribution framing helps teams interpret that data more consistently.
Attribution scenario
Attribution Model Calculator
Apply multiple attribution models to one journey so you can compare how channel credit shifts before you lock reporting rules.
Sample input pattern
Use earlier touches with higher hour values and later touches with smaller hour values.
Touchpoints
4
Primary model
google-search
Model
Linear
Credit allocation
Review the credit assigned to each touchpoint in the journey.
| Channel | Hours before conversion | Credit |
|---|---|---|
| google-search | 168 | 25.0% |
| linkedin-ad | 72 | 25.0% |
| email-nurture | 12 | 25.0% |
| demo-request | 1 | 25.0% |
Model comparison
Linear
Top channel: google-search
- google-search: 25.0%
- linkedin-ad: 25.0%
- email-nurture: 25.0%
Linear
Top channel: google-search
- google-search: 25.0%
- linkedin-ad: 25.0%
- email-nurture: 25.0%
Time-decay
Top channel: demo-request
- google-search: 15.7%
- linkedin-ad: 23.3%
- email-nurture: 29.8%
Interpretation notes
- Use the same touchpoint sequence across several models before choosing a reporting rule.
- Model choice changes the channel story even when the raw journey stays the same.
- The best model depends on the reporting goal, not just on what is easiest to explain.
Result summary
- Per-touchpoint credit distribution
- Model-by-model comparison
- Top-channel summary
Why teams use this tool
Teams argue about attribution in the abstract because they rarely compare models against the same touchpoint sequence. This calculator lets you input a sample journey, apply several attribution models, and understand how credit shifts across channels before you commit to a reporting framework.
Compare first-touch, last-touch, linear, position-based, and time-decay models
See how the same journey produces different channel winners
Create a scenario you can share with leadership or agency partners
How it works
- 1
Add the touchpoints in a sample journey and how long before conversion each happened
- 2
Choose the attribution model you want to apply
- 3
Review per-touchpoint credit and the top channel summary
What you get from the result
- Per-touchpoint credit distribution
- Model-by-model comparison
- Top-channel summary
Related reading
Pair the model with live campaign and click data
LeadPulse helps teams connect channels, naming, and click behavior so attribution and CAC reviews are easier to act on.
Start Free TrialUse the calculator for scenarios and LeadPulse for the live campaign context.
Frequently asked questions
Does this pick the best model automatically?
No. It shows how different models distribute credit so you can compare them against your business goals, sales cycle, and reporting needs.
What if I do not have perfect customer-journey data?
That is normal. The tool is still useful for scenario planning, stakeholder education, and pressure-testing how model choices change channel decisions.
Related tools
Time Decay Attribution Calculator
Apply a time-decay attribution model to a touchpoint sequence and adjust the half-life to match your sales cycle.
First-Touch vs Last-Touch Comparison Tool
Compare first-touch and last-touch attribution side by side on the same journey and see which channels gain or lose credit.
Campaign KPI Selector Tool
Pick campaign KPIs by objective, channel mix, sales cycle, and stakeholder audience without defaulting to vanity metrics.