Assisted Conversions
What are Assisted Conversions?
Assisted Conversions are conversions where a touchpoint or channel did not cause the final conversion, but still made an important contribution to the purchase decision process. Unlike Last-Click Attribution, which assigns the entire value only to the last touchpoint before conversion, Assisted Conversion analysis considers all touchpoints in the Customer Journey.
Definition and Importance
Assisted Conversions measure the indirect influence of various marketing channels on conversions. They show which channels, while not directly leading to a conversion, still support the user on the path to conversion.
Example of a typical Customer Journey:
- User finds website through organic search (SEO)
- User returns via social media
- User clicks on paid ad (SEA)
- Conversion occurs (purchase/registration/download)
In this case, the paid ad would be valued as Last-Click Conversion, while SEO and Social Media would be recorded as Assisted Conversions.
Types of Assisted Conversions
1. First-Click Attribution
The first touchpoint receives the entire conversion value, regardless of subsequent interactions.
2. Linear Attribution
All touchpoints in the Customer Journey receive equal value.
3. Time-Decay Attribution
Touchpoints closer to conversion receive higher value.
4. Position-Based Attribution
First and last touchpoint each receive 40% of the value, middle touchpoints share the remaining 20%.
Measuring Assisted Conversions
Google Analytics 4 (GA4) Setup
In GA4, Assisted Conversions are automatically captured in various reports:
Multi-Channel Funnels Report:
- Shows all touchpoints before a conversion
- Identifies Assisted Conversions per channel
- Measures Assisted Conversion Value
Attribution Reports:
- Compare different attribution models
- Cross-Device Conversion Tracking
- Data-Driven Attribution (DDA)
Important Metrics
SEO and Assisted Conversions
Why SEO Often Generates Assisted Conversions
SEO frequently generates Assisted Conversions because users often go through multiple touchpoints:
Typical SEO Customer Journey:
- Initial Discovery: User finds website through organic search
- Information Phase: User researches product/service
- Comparison: User searches for alternatives or reviews
- Conversion: User returns via direct visit or paid ad
SEO-Assisted Conversion Optimization
Content Strategy for Assisted Conversions:
- Top-of-Funnel Content: Informative blog articles, guides
- Middle-of-Funnel Content: Comparison articles, case studies
- Bottom-of-Funnel Content: Product pages, landing pages
Technical Optimization:
- Cross-Domain Tracking: Unified User-ID across all domains
- Enhanced Ecommerce: Detailed conversion data
- Custom Dimensions: Additional metadata for better analysis
Multi-Touch Attribution Models
1. Last-Click Attribution (Standard)
- Advantage: Easy to understand and implement
- Disadvantage: Underestimates supporting channels
- Best Application: Direct response marketing
2. First-Click Attribution
- Advantage: Shows awareness-generating channels
- Disadvantage: Ignores subsequent touchpoints
- Best Application: Brand building campaigns
3. Linear Attribution
- Advantage: Considers all touchpoints equally
- Disadvantage: No weighting by relevance
- Best Application: Even customer journey
4. Time-Decay Attribution
- Advantage: Weights touchpoints by proximity to conversion
- Disadvantage: More complex calculation
- Best Application: Short sales cycles
5. Data-Driven Attribution (DDA)
- Advantage: Machine learning for optimal weighting
- Disadvantage: Requires large amounts of data
- Best Application: E-commerce with many conversions
Practical Application
1. Assisted Conversion Analysis
Step-by-Step Guide:
- Open Google Analytics 4
- Reports → Attribution → Model Comparison
- Define time period and conversions
- Compare different attribution models
- Analyze Assisted Conversions per channel
2. Channel Optimization Based on Assisted Conversions
SEO Optimization:
- Content Creation: Focus on Assisted Conversion-generating content
- Keyword Strategy: Long-tail keywords for information phase
- User Experience: Optimization for return visits
Paid Search Optimization:
- Remarketing: Target users who came via SEO
- Keyword Expansion: Add Assisted Conversion keywords
- Bid Strategy: Higher bids for Assisted Conversion keywords
3. Budget Allocation
ROI-based Budget Distribution:
- Include Assisted Conversion Value in budget planning
- Calculate Cross-Channel ROI
- Create Attribution-weighted budgets
Tools and Platforms
Google Analytics 4
- Multi-Channel Funnels
- Attribution Reports
- Data-Driven Attribution
Google Ads
- Assisted Conversions Report
- Search Funnels
- Cross-Account Conversion Tracking
Facebook Ads Manager
- Attribution Settings
- Cross-Device Reporting
- Conversion Windows
Third-Party Tools
- Adobe Analytics
- Mixpanel
- Amplitude
Common Mistakes and Pitfalls
1. Ignoring Assisted Conversions
Problem: Focus only on Last-Click Conversions
Solution: Include Assisted Conversions in analysis
2. Wrong Attribution Models
Problem: Inappropriate attribution model for business
Solution: Test and compare different models
3. Cross-Device Tracking Issues
Problem: Conversions are not correctly assigned
Solution: User-ID implementation and cross-domain tracking
4. Too Short Attribution Windows
Problem: Long customer journeys are not captured
Solution: Adapt attribution windows to business model
Best Practices
1. Comprehensive Tracking Implementation
- Activate Enhanced Ecommerce
- Set up Cross-Domain Tracking
- Implement User-ID
- Define Custom Events
2. Regular Attribution Analysis
- Monthly reviews of attribution models
- Quarterly attribution tests
- Annual attribution strategy review
3. Cross-Channel Optimization
- Understand Unified Customer Journey
- Cross-channel messaging
- Consistent brand experience
4. Stakeholder Education
- Explain Assisted Conversions
- Make Attribution models understandable
- Make ROI calculations transparent
Future of Assisted Conversions
AI and Machine Learning
- Predictive Attribution
- Real-Time Attribution Optimization
- Automated Model Selection
Privacy-First Attribution
- Cookieless Attribution
- Probabilistic Modeling
- First-Party Data Integration
Cross-Platform Attribution
- Unified Attribution Models
- Cross-Device Identity Resolution
- Omnichannel Attribution