Revenue Attribution

Determine which marketing and sales activities drive revenue using multi-touch attribution models, enabling smarter budget allocation and campaign optimization.

When to Use This Skill

• Justifying marketing spend to leadership

• Optimizing channel mix allocation

• Evaluating campaign ROI

• Resolving marketing/sales credit disputes

• Building attribution reports

Methodology Foundation

Based on Bizible/Marketo Multi-Touch Attribution and Google Analytics Attribution Models, covering:

• First-touch attribution (awareness credit)

• Last-touch attribution (conversion credit)

• Linear attribution (equal credit)

• Time-decay attribution (recency-weighted)

• Position-based (U-shaped, W-shaped)

What Claude Does vs What You Decide

Claude Does You Decide

Explains attribution models Which model fits your business

Calculates credit distribution How to act on insights

Identifies top-performing channels Budget reallocation amounts

Shows model comparison Final attribution policy

Highlights discrepancies Exception handling

What This Skill Does

• Model education - Explain different attribution approaches

• Credit calculation - Apply models to touchpoint data

• Channel analysis - Compare performance by source

• Model comparison - Show how results differ by model

• Optimization recommendations - Where to invest more/less

How to Use

Analyze attribution for this closed-won deal:

Deal: [Company Name] Value: $[Amount] Close Date: [Date] Sales Cycle: [Days]

Touchpoint Journey:

1. [Date] - [Channel] - [Action]
2. [Date] - [Channel] - [Action] ... [List all touchpoints chronologically]

Questions:

• Which channels deserve credit?
• Compare first-touch vs last-touch
• Recommend budget allocation

Instructions

Step 1: Understand Attribution Models

Model Logic Best For

First-Touch 100% to first interaction Awareness measurement

Last-Touch 100% to final conversion Direct response

Linear Equal split across all Long consideration cycles

Time-Decay More credit to recent Sales-assisted journeys

Position-Based 40/20/40 (first/middle/last) Balanced view

W-Shaped 30/30/30 + 10 remainder Include MQL moment

Step 2: Map the Customer Journey

Document all touchpoints with:

• Timestamp - When it occurred

• Channel - Source (Paid, Organic, Email, Event, etc.)

• Action - What happened (visit, download, demo, etc.)

• Stage - Awareness, Consideration, Decision

Step 3: Apply Attribution Model

First-Touch Example:

Journey: Paid Search → Email → Webinar → Demo → Close Revenue: $50,000

First-Touch Attribution:

• Paid Search: $50,000 (100%)
• All others: $0

Linear Example:

Same journey, 4 touchpoints:

• Paid Search: $12,500 (25%)
• Email: $12,500 (25%)
• Webinar: $12,500 (25%)
• Demo: $12,500 (25%)

Position-Based (40/20/40):

• Paid Search: $20,000 (40% - first)
• Email: $5,000 (10% - middle)
• Webinar: $5,000 (10% - middle)
• Demo: $20,000 (40% - last)

Step 4: Aggregate by Channel

Sum attribution across all deals to see total channel contribution:

Channel Performance (Position-Based):

• Paid Search: $500K attributed (35%)
• Events: $300K attributed (21%)
• Organic: $280K attributed (19%)
• Email: $220K attributed (15%)
• Referral: $150K attributed (10%)

Step 5: Calculate ROI by Channel

Channel ROI = Attributed Revenue / Channel Spend

Example:

• Paid Search: $500K revenue / $100K spend = 5x ROI
• Events: $300K revenue / $200K spend = 1.5x ROI

Examples

Example 1: Deal-Level Attribution

Input:

Analyze attribution for TechStart Inc:

Deal: TechStart Inc Value: $75,000 ARR Close Date: March 15 Sales Cycle: 62 days

Touchpoint Journey:

1. Jan 12 - Google Ads - Clicked ad, visited pricing
2. Jan 15 - Organic Search - Blog post read
3. Jan 22 - LinkedIn Ad - Whitepaper download (MQL)
4. Feb 1 - Email nurture - Opened 3 emails
5. Feb 10 - Webinar - Attended "Product Demo Day"
6. Feb 18 - Direct - Requested demo (SQL)
7. Mar 5 - Sales - Discovery call
8. Mar 12 - Sales - Proposal review
9. Mar 15 - Direct - Signed contract

Compare first-touch, last-touch, and position-based.

Output:

Attribution Analysis: TechStart Inc ($75,000)

Journey Summary

• Total Touchpoints: 9
• Marketing Touchpoints: 6 (Jan 12 - Feb 18)
• Sales Touchpoints: 3 (Mar 5 - Mar 15)
• Sales Cycle: 62 days
• Key Conversion: LinkedIn whitepaper (MQL), Demo request (SQL)

Model Comparison

Position-Based Breakdown (Recommended)

First Touch (30%): $22,500

• Google Ads gets full first-touch credit
• Drove initial awareness and pricing interest

MQL Touch (30%): $22,500

• LinkedIn Ads: $15,000 (whitepaper = MQL)
• Webinar: $7,500 (influenced SQL)

Last Touch (30%): $22,500

• Demo Request: $7,500
• Sales (Close): $15,000

Middle Touches (10%): $7,500

• Organic: $2,500
• Email: $2,500
• Other: $2,500

Insights

1. Google Ads initiated the journey - valuable for awareness
2. LinkedIn Ads drove the MQL - critical conversion point
3. Sales closed but didn't initiate - last-touch overstates
4. Email nurtured but didn't convert alone - assist role

Channel Recommendations

Example 2: Multi-Deal Channel Analysis

Input:

Analyze Q1 attribution across these closed deals:

Deal 1: $50K - Google Ads → Email → Demo → Close Deal 2: $30K - Event → LinkedIn → Demo → Close Deal 3: $80K - Referral → Demo → Close Deal 4: $45K - Organic → Webinar → Email → Demo → Close Deal 5: $25K - Google Ads → Event → Demo → Close

Total Q1 Revenue: $230K

Channel Spend:

• Google Ads: $15K
• Events: $25K
• LinkedIn: $8K
• Email: $3K
• Webinar: $5K
• Referral: $0

Which channels should we invest more in?

Output:

Q1 Channel Attribution Analysis

Total Revenue: $230,000

Attribution by Model

Position-Based Attribution (40/20/40)

ROI Analysis

Efficiency Ranking

1. 🥇 Referral - $0 cost, $32K attributed → Infinite ROI
2. 🥈 Email - 3.7x ROI → High-value nurture
3. 🥉 Google Ads - 2.2x ROI → Profitable acquisition
4. Webinar - 1.8x ROI → Solid mid-funnel
5. LinkedIn - 0.75x ROI → Below break-even
6. Events - 0.68x ROI → Expensive for return

Recommendations

Increase Investment:

• Referral Program: 14% of revenue at $0 cost

  • Formalize referral rewards
  • Target: 2x referral deals in Q2

• Email Nurture: 3.7x ROI

  • Expand sequences
  • Add $2K budget for tools

• Google Ads: 2.2x ROI

  • Profitable, test 20% budget increase
  • Focus on high-intent keywords

Optimize/Test:

• LinkedIn: 0.75x is below target
  • Test new audiences before cutting
  • Could be essential for certain segments

Reduce/Reallocate:

• Events: $25K for $17K attributed
  • Evaluate which events drive pipeline
  • Consider smaller, targeted events
  • Reallocate $10K to Google Ads

Proposed Q2 Budget Shift

Skill Boundaries

What This Skill Does Well

• Explaining attribution model mechanics

• Calculating credit across touchpoints

• Comparing models side-by-side

• Identifying channel efficiency

What This Skill Cannot Do

• Access actual CRM/analytics data

• Track offline touchpoints automatically

• Account for brand lift effects

• Prove causation (only correlation)

When to Escalate to Human

• Choosing official attribution model for company

• Budget allocation decisions over $50K

• Complex B2B journeys with multiple stakeholders

• Reconciling attribution across systems

Iteration Guide

Follow-up Prompts

• "How would results change with time-decay model?"

• "What if we excluded sales touchpoints?"

• "Show me channel performance by deal size."

• "Build attribution for all Q1 deals (I'll provide data)."

Attribution Maturity

• Basic: Last-touch only

• Intermediate: First and last comparison

• Advanced: Position-based or custom

• Expert: ML-based algorithmic attribution

Checklists & Templates

Attribution Report Template

Attribution Report: [Period]

Summary

• Total Revenue: $X
• Deals Analyzed: X
• Model Used: [Position-Based]

Channel Attribution

Top Insights

Budget Recommendations

Touchpoint Tracking Checklist

• UTM parameters on all campaigns

• CRM synced with marketing automation

• Offline events logged manually

• Sales activities timestamped

• Content downloads tracked

References

• Bizible Multi-Touch Attribution Guide

• Google Analytics Attribution Modeling

• Forrester B2B Attribution Research

• Marketo Revenue Cycle Analytics

Related Skills

• pipeline-forecasting

• Predict revenue by source

• lead-scoring

• Score by attributed channel

• ad-spend-optimizer

• Automate budget shifts

Skill Metadata

• Domain: RevOps

• Complexity: Advanced

• Mode: centaur

• Time to Value: 30-60 min for analysis

• Prerequisites: Touchpoint data, deal values, channel spend