Marketing Attribution Calculator

Compare all 6 attribution models side-by-side. Discover which channels really drive revenue — and which ones are stealing credit from last-touch reports. Free, no signup.

Last reviewed: March 2026

Marketing Attribution Modeler
Compare 6 attribution models · Discover which channels really drive revenue
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Revenue Reattributed vs Last-Touch
$35,625
shifted from🔗 Direct✉️ Email
Attribution Chart — Linear
Attribution Comparison Matrix
% credit / $ revenue
ChannelFirst-TouchLast-TouchLinearTime-DecayU-ShapedW-Shaped
🔗Direct⚠️ Varies
5%
$2,500
100%
$50,000
29%
$14,375
57%
$28,261
43%
$21,500
34%
$16,750
✉️Email
0%
$0
0%
$0
25%
$12,500
26%
$12,985
10%
$5,000
26%
$13,000
🔍Paid Search⚠️ Varies
35%
$17,500
0%
$0
12%
$6,250
7%
$3,463
15%
$7,750
15%
$7,500
📱Paid Social
25%
$12,500
0%
$0
19%
$9,375
7%
$3,334
15%
$7,500
13%
$6,250
🌿Organic Search
20%
$10,000
0%
$0
11%
$5,625
4%
$1,911
11%
$5,250
9%
$4,250
📺Display/Video
15%
$7,500
0%
$0
4%
$1,875
0%
$46
6%
$3,000
5%
$2,250
Channel Attribution Report Card
Graded by consistency across 6 models
C+
✉️Email
Mid-funnel workhorse
0%–26% across models
C+
📱Paid Social
Solid mid-funnel contributor
0%–25% across models
C+
🌿Organic Search
Niche contributor, low overall credit
0%–20% across models
C+
📺Display/Video
Niche contributor, low overall credit
0%–15% across models
C
🔍Paid Search
Solid mid-funnel contributor
0%–35% across models
F
🔗Direct
Last-touch dependent — may be over-credited
5%–100% across models
lotoftools.org/marketing-tools/marketing-attribution-calculator
💰 Budget Reallocation Advisor
Based on Linear vs Last-Touch model
🔗Direct 71pts
Last-Touch: 100%
Linear: 29%
Direct is significantly over-credited by last-touch. It may be a closing channel, not a driver.
✉️Email 25pts
Last-Touch: 0%
Linear: 25%
Email is heavily undervalued by last-touch. It plays a crucial role in earlier funnel stages.
📱Paid Social 19pts
Last-Touch: 0%
Linear: 19%
Paid Social deserves more budget — it consistently contributes across the journey.
⚠️ Disclaimer: These recommendations are based on attribution modeling, not actual ROI data. Always validate with incrementality testing before reallocating budget.
⚠️ Paid Search ranges from 0% to 35% — your budget decision depends on which attribution model you trust.
⚠️ Direct ranges from 5% to 100% — your budget decision depends on which attribution model you trust.
Insights
🏆Email is a hidden champion — gets 0% under Last-Touch but 25% under Linear. You may be underinvesting here.
⚠️Paid Search is model-sensitive — ranges from 0% to 35% across models. Your budget decision for this channel depends on which model you trust.

What Is Marketing Attribution?

Marketing attribution is the science of assigning revenue credit to the channels and touchpoints that contributed to a customer conversion. In modern digital marketing, the average customer interacts with 6–8 marketing touchpoints before making a purchase — seeing a display ad, reading a blog post, clicking a Google Ad, receiving a nurture email, and finally arriving direct to purchase.

The challenge: which of those touchpoints actually deserves credit? Different attribution models give dramatically different answers. An e-commerce brand using Last-Touch attribution might believe Paid Search drives 60% of revenue. Switching to Time-Decay might reveal that Organic Search and Email together drive 50% — and Paid Search is mostly capturing demand that other channels already generated.

How to Choose the Right Attribution Model

The right attribution model depends on your business type and sales cycle. Here's a decision framework:

Time-Decay
Best for: Most businesses
Best for short-to-medium sales cycles (2–60 days). Respects recency without ignoring early touches. Google Analytics 4 default.
U-Shaped
Best for: B2B SaaS
Best when discovery AND closing both matter equally. Gives 40% to first touch, 40% to last touch, 20% to middle.
W-Shaped
Best for: Enterprise / ABM
Best when you have a distinct mid-funnel milestone (demo, trial, webinar). 30% first, 30% mid, 30% last.
First-Touch
Best for: Brand awareness reporting
Good for measuring top-of-funnel channel performance. Avoid for budget decisions.
Last-Touch
Best for: Simple reporting only
Default in most platforms. Most misleading for budget optimization. Over-credits closing channels.
Linear
Best for: Baseline comparison
Equal credit to all. Useful as a neutral benchmark but ignores that some touches matter more.

First-Touch vs Last-Touch Attribution Explained

First-touch and last-touch are the two simplest attribution models — and the most commonly misused.

First-touch attribution assigns 100% of the conversion credit to the very first channel that introduced the customer to your brand. If a customer first arrived via an Instagram ad, then visited via Google search, then converted direct — Instagram gets all the credit. This model is excellent for understanding brand discovery but useless for evaluating conversion performance.

Last-touch attribution does the opposite: 100% of credit goes to the final channel before conversion. In the same example, Direct would get all the credit. This is the default model in Google Analytics, Meta Ads Manager, and most ad platforms — which is why most marketing reports are fundamentally misleading. Last-touch systematically punishes channels that do top-of-funnel work and rewards channels that merely close existing intent.

Why Last-Touch Attribution Is Misleading

Last-touch attribution has three fundamental problems that corrupt budget decisions:

  1. It ignores awareness and consideration. Every journey has to start somewhere. If organic search or display ads created initial awareness, but the customer eventually purchased via a branded Google search — last-touch gives 100% credit to the branded search and 0% to organic. The organic channel that generated the intent is completely invisible.
  2. It systematically over-credits “Direct.” In many businesses, 30–50% of conversions appear as “Direct” in last-touch reporting — the customer just typed the URL. But they didn't magically know about you. They saw a social ad, read a blog post, or heard a podcast mention weeks earlier. Last-touch gives none of those channels any credit.
  3. It creates perverse budget incentives. When teams optimize for last-touch ROAS, they increase spend on closing channels (retargeting, branded search) and cut awareness channels (content, SEO, display). This produces diminishing returns — you're harvesting demand that's no longer being seeded. Revenue plateaus while you believe you're optimizing.

Multi-Touch Attribution Models Explained

Multi-touch attribution distributes credit across all touchpoints in a customer journey. Here are the four major multi-touch models and when to use each:

Linear Attribution

Each touchpoint receives equal credit (1/n). A 4-step journey gives 25% to each channel. This is the baseline multi-touch model — better than single-touch, but doesn't differentiate which touches mattered most.

Time-Decay Attribution

Credit decays exponentially by time, with a 7-day half-life. A touchpoint 7 days before conversion gets 50% of the weight of a touchpoint today; 14 days gets 25%. This is the most recommended model for most businesses because it balances recency with journey completeness.

U-Shaped (Position-Based)

First touch gets 40%, last touch gets 40%, and all middle touches share 20%. Explicitly acknowledges that the discovery moment and the conversion moment are both critical. Popular in B2B SaaS and longer sales cycles.

W-Shaped Attribution

First touch gets 30%, the middle “lead creation” event gets 30%, last touch gets 30%, and remaining touches split 10%. Designed for enterprise B2B where there's a distinct qualification event (demo, trial, MQL) that represents a major milestone in the sales process.

Attribution Benchmarks: How Channels Compare by Model

The following table shows how credit attribution typically shifts across models for a typical e-commerce or B2B SaaS business with multi-channel marketing. Data based on industry analysis of conversion path reports:

ChannelLast-TouchLinearTime-DecayU-Shaped
Paid Search45–65%15–25%20–35%15–22%
Organic Search3–8%18–28%12–22%25–40%
Email1–5%15–25%22–35%12–20%
Paid Social10–20%12–18%10–16%12–18%
Direct15–30%8–14%6–10%8–12%
Content/Blog0–3%10–16%6–12%12–20%

Ranges are illustrative benchmarks based on typical multi-channel conversion paths. Your actual distribution depends on your specific channel mix and customer journey length.

Frequently Asked Questions

What is marketing attribution?

Marketing attribution assigns revenue credit to the marketing channels that contributed to a conversion. Since customers interact with multiple channels before purchasing, attribution models determine how to split credit among those touchpoints.

Why is last-touch attribution misleading?

Last-touch ignores every touchpoint except the final one, systematically over-crediting Direct and Paid Search while giving zero credit to Organic Search, Content, and Email — channels that build awareness and intent.

What is the best attribution model for e-commerce?

Time-Decay is generally recommended for e-commerce (2–30 day sales cycles). It respects recency without completely ignoring early discovery touches like Display, Social, and Content.

What is the best attribution model for B2B SaaS?

U-Shaped (Position-Based) is most popular for B2B SaaS. It gives 40% each to first touch (awareness) and last touch (closing), with 20% to middle nurture steps.

What is a "hidden champion" channel?

A channel that gets <5% credit under Last-Touch but >20% under other models. Usually Organic Search, Content, or Email — channels that start or nurture journeys but don't close them.

How do I know which model is right for my business?

Load your real customer journey data (or use an industry preset) and compare all 6 models side-by-side. Look for which channels show high variance — those are the ones where your choice of model most affects your budget decisions.

What is time-decay attribution?

Time-decay gives more credit to touchpoints closer to the conversion, with credit halving every 7 days. A touch today gets full credit; a touch 7 days ago gets 50%; 14 days ago gets 25%.

Can I export the attribution comparison as a PNG or CSV?

Yes. Use "Export Matrix PNG" for a presentation-ready heatmap, "Export Report Card" for the channel grade card, or "Download CSV" for a full 12-column data export of all 6 models.

Related Tools

Last updated: March 2026. Attribution model formulas based on industry-standard definitions from Google Analytics, Bizible, and Marketo attribution documentation.