Tool

Marketing Attribution Model

Build your customer journey and compare four attribution models simultaneously. See how revenue credit shifts across channels and what it means for your budget. Free attribution calculator, no signup required.

The channel that gets credit for a sale is rarely the channel that deserves it. Most analytics platforms default to last-click attribution, which means the final touchpoint before conversion receives one hundred percent of the credit. In practice, this systematically undervalues the channels that create awareness, build trust, and move customers through the middle of the funnel.

The consequences are real and expensive. Brands that allocate budgets based on last-click data consistently underfund top-of-funnel channels and overfund the closers, which are often retargeting and branded search, channels that capture intent created elsewhere rather than generating it. Over time this hollows out the pipeline.

This tool lets you build your actual customer journey, define your channel touchpoints in order, and compare four attribution models simultaneously: last click, first click, linear, and time decay. Seeing all four at once is the insight. The channel that looks like a hero in one model often looks very different in another, and that gap tells you where the real budget conversation should be happening.

Build your customer journey by adding touchpoints in order. The last channel added is assumed to be closest to conversion.

Channel
Monthly spend
Conversions
Revenue
Channel
Last click
First click
Linear
Time decay
What this means for your budget
Last click
100% of credit goes to the final touchpoint before conversion. The default in most platforms. Overvalues closers.
First click
100% of credit to the first touchpoint. Useful for understanding what creates awareness. Ignores everything after.
Linear
Credit split equally across all touchpoints. Simple and fair. Good baseline for multi-touch journeys.
Time decay
More credit to touchpoints closer to conversion. Reasonable assumption that recency matters. Common in longer sales cycles.

Methodology

Last click attribution assigns one hundred percent of conversion credit to the final touchpoint in the customer journey before conversion. It is the default model in most analytics platforms because it is simple to implement, but it structurally favours lower-funnel channels.

First click attribution assigns one hundred percent of credit to the first touchpoint. It is useful for understanding which channels generate initial awareness and introduce customers to your brand. It systematically undervalues nurturing and closing channels.

Linear attribution divides credit equally across all touchpoints in the journey. If a customer touches four channels before converting, each receives twenty-five percent of the credit. It is the most neutral model and a reasonable baseline for multi-touch analysis.

Time decay attribution assigns more credit to touchpoints that occur closer to the conversion event. The weighting uses an exponential function where each earlier touchpoint receives half the credit of the next one. This model reflects the intuition that recency matters, and is commonly used in longer sales cycles.

How to use this tool

  1. Add channels to the journey in order from first touch to last touch before conversion
  2. Enter spend, conversions, and revenue for each channel in the table
  3. Review how credit is distributed across all four models simultaneously
  4. Read the insight section to understand what the differences mean for your budget
  5. Use the findings to challenge last-click assumptions in your next budget review

Frequently asked questions

What is marketing attribution?
Marketing attribution is the process of assigning credit for a conversion or sale to the marketing touchpoints that contributed to it. Attribution models define the rules for how that credit is divided. Different models produce different answers, and understanding those differences is essential for making accurate budget decisions.
Which attribution model is most accurate?
No single attribution model is universally most accurate. The most appropriate model depends on your sales cycle, channel mix, and what decision you are trying to make. Last click is accurate for direct response campaigns with short cycles. Linear is a reasonable default for multi-touch B2B journeys. Data-driven attribution, which requires sufficient conversion volume to train a statistical model, is the most sophisticated approach but is not available in all analytics platforms.
Why does my channel performance look different in different attribution models?
Because each model allocates credit using different rules. A channel like organic search that often appears early in the customer journey will score low in last-click models because customers rarely convert on their first visit. It will score much higher in first-click or linear models. These differences reveal the true role of each channel in your funnel rather than just its closing performance.
What is the difference between last click and time decay attribution?
Last click assigns all credit to the final touchpoint regardless of what came before. Time decay assigns credit across all touchpoints but weights the more recent ones more heavily. Time decay is generally more realistic because it acknowledges that multiple channels contributed while still recognising that the channels closest to conversion often do the most to finalise intent.
How does attribution data affect budget decisions?
Attribution data tells you which channels are generating value across the full funnel, not just at the point of conversion. If you allocate budget based on last-click data alone, you will systematically defund channels that create awareness and build demand, and overfund channels that capture it. Over time this weakens your pipeline. Comparing multiple attribution models and allocating budget accordingly produces more sustainable growth.

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