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Methodology

Marketing Attribution Explained: Which Model Fits Your Product?

GenGrowth Team·3 min read·Updated August 5, 2026
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Attribution determines how you allocate credit across marketing touchpoints. Choosing the wrong model leads to misallocated budgets and false confidence in underperforming channels. Here is how to pick the right one.

What Attribution Really Means

Marketing attribution is the process of assigning credit for a conversion to the marketing touchpoints that influenced it. When a user signs up for your product, which of the 7 interactions they had with your brand over the past 30 days actually mattered? The answer depends on which attribution model you use.

Attribution matters because it determines where you spend money. If your last-click model says paid search drives 80% of conversions, you will invest heavily in paid search. But if those users first discovered you through a blog post, then saw a social thread, then clicked a retargeting ad -- the real driver was organic content.

The Six Major Attribution Models

1. Last-Click Attribution

100% of credit goes to the last touchpoint before conversion.

Best for: Simple funnels with 1-2 touchpoints.

2. First-Click Attribution

100% of credit goes to the first touchpoint.

Best for: Teams focused on top-of-funnel growth.

3. Linear Attribution

Equal credit distributed across all touchpoints.

Best for: Teams with limited data who want a balanced view.

4. Time-Decay Attribution

More credit goes to touchpoints closer to the conversion event.

Best for: B2B products with long sales cycles (30-90 days).

5. Position-Based (U-Shaped) Attribution

40% credit to first, 40% to last, 20% distributed among middle touchpoints.

Best for: Most B2B SaaS products.

6. Data-Driven Attribution

Uses machine learning to calculate actual contribution of each touchpoint.

Best for: Products with high traffic and conversion volume.

Channel Isolation: The Missing Piece

A channel isolation test temporarily pauses one channel and measures the change in conversions. Define the intervention, guardrails, comparison window, and UTM convention before the test; otherwise seasonality or tracking drift can look like causal impact.

UTM Parameters: The Foundation

  • utm_source: Where the traffic comes from
  • utm_medium: The marketing medium
  • utm_campaign: The specific campaign
  • utm_content: Differentiates variations
  • utm_term: The keyword for paid search

Choosing the Right Model for Your Stage

  • Pre-PMF (0-1,000 users): Use first-click attribution.
  • Early growth (1,000-10,000 users): Switch to position-based (U-shaped).
  • Scale (10,000+ users): Move to data-driven attribution.

What to Read Next

See our Week 1 social experiment report for attribution in action. For programmatic SEO content, read our scaling guide.

Put the method to work

Start with one verifiable SEO signal

The SEO and Tech Agents require a verified account and inspect public HTML without Search Console or site-ownership access. The marketing run is not saved to an app project.

GT

GenGrowth Team

Growth Automation Engineers

We build tools that help product teams automate growth experiments.