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Attribution Model Comparison & Selector
Compare marketing attribution models and get data-driven recommendations. Analyze how first-touch, last-touch, linear, time-decay, and position-based models credit your channels differently for smarter budget allocation.
What You Get
Reveal true channel performance by comparing attribution models, showing how credit distribution changes across approaches and which model fits your business type and sales cycle.
The Problem
The Solution
How It Works
- 1 Collect customer journey data showing touchpoint sequences from awareness to conversion
- 2 Apply five attribution models: first-touch, last-touch, linear, time-decay, and position-based
- 3 Generate side-by-side comparison showing how each model credits channels differently
- 4 Identify ranking changes and which channels gain or lose importance under different models
- 5 Recommend best-fit model based on industry, sales cycle length, and touchpoint patterns
- 6 Analyze budget reallocation impact with dollar amounts and expected outcomes
What You'll Need
- Customer journey data showing touchpoint sequences for conversions
- Marketing channel identifiers for each touchpoint in the journey
- Business context: industry, sales cycle length, typical touchpoints per conversion
Get This Skill
Requires Pro subscription ($9/month)
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B2B SaaS with Organic-Led Journeys
Attribution analysis for a B2B SaaS company with 100 conversions, 4-week sales cycle, and 5 touchpoints typical. Demonstrates how organic search gets 0% credit under last-touch but 33% under position-based, revealing hidden pipeline value.
E-commerce Flash Sale Attribution
Attribution comparison for an e-commerce flash sale with 200 conversions and 2-5 day sales cycle. Shows how Instagram appears worthless under last-click (0%) but drives 8-12% of value under time-decay, preventing premature budget cuts.
Local Dental Practice with Phone Conversions
Attribution analysis for a local dental practice with 50 new patients, mixed online/offline channels, and phone as primary conversion mechanism. Demonstrates handling the 'phone gets all credit' problem and reveals hidden value in direct mail.