When measuring retargeting success, two attribution models dominate the conversation: view-through and click-through. Understanding the difference—and when to use each—is essential for accurate performance measurement and campaign optimization.
Defining the Attribution Models
Both models answer the same question differently: "Did this ad cause the conversion?"
Click-Through Attribution
- Definition: User clicked the ad, then converted
- Signal Strength: Very strong—direct engagement
- Common Windows: 1-day, 7-day, 28-day click
- Best For: Direct response, last-touch measurement
View-Through Attribution
- Definition: User saw the ad, didn't click, but later converted
- Signal Strength: Moderate—passive influence
- Common Windows: 1-day view (Meta default)
- Best For: Brand awareness, full-funnel measurement
How Each Model Works in Retargeting
In retargeting specifically, these models measure different types of influence. Build proper custom audiences for accurate measurement.
Click-Through Retargeting Scenario
- User visits your website, browses products
- User sees retargeting ad on Facebook
- User clicks the ad, returns to site
- User completes purchase
- Conversion attributed to click-through
View-Through Retargeting Scenario
- User visits your website, browses products
- User sees retargeting ad on Instagram (doesn't click)
- Later, user types your URL directly and purchases
- Conversion attributed to view-through (within window)
Meta's Attribution Settings
Understanding Meta's current attribution options is crucial for proper campaign setup.
Available Attribution Windows
- 1-day click: Conversion within 24 hours of click
- 7-day click: Conversion within 7 days of click (default)
- 1-day view: Conversion within 24 hours of view
- 7-day click, 1-day view: Combined (Meta default reporting)
Post-iOS 14 Changes
- 28-day click window removed from default reporting
- View-through limited to 1-day maximum
- Aggregated Event Measurement affects attribution
- Modeled conversions fill data gaps
When to Emphasize Click-Through
Click-through attribution works best in specific scenarios.
Ideal Use Cases
- High-Intent Audiences: Cart abandoners, checkout starters
- Direct Response Campaigns: Sales, lead gen
- Short Sales Cycles: Impulse purchases
- Performance Accountability: When ads must drive direct action
Click-Through Advantages
- Clear cause-and-effect relationship
- Easier to defend ROI claims
- More conservative measurement
- Aligns with direct response goals
When to Include View-Through
View-through attribution captures value that click-through misses. Avoid audience fatigue while measuring view impact.
Ideal Use Cases
- Brand Awareness: Keeping your brand top-of-mind
- Long Sales Cycles: B2B, high-ticket items
- Multi-Touch Journeys: Complex purchase paths
- Full-Funnel Measurement: Understanding total impact
View-Through Advantages
- Captures passive influence
- Accounts for mobile behavior (less clicking)
- More complete picture of ad effectiveness
- Recognizes awareness contribution
Attribution Strategy for Retargeting
Different retargeting audiences may warrant different attribution approaches.
High-Intent Retargeting
Cart abandoners, checkout starters:
- Primary metric: 7-day click attribution
- View-through as secondary signal
- Focus on direct response measurement
- ROAS calculated on click-through conversions
Mid-Funnel Retargeting
Product viewers, content engagers:
- Blend click and view attribution
- 7-day click + 1-day view combined
- Track assisted conversions
- Measure influence, not just direct action
Upper-Funnel Retargeting
Social engagers, video viewers:
- View-through becomes more important
- Focus on engagement metrics alongside conversions
- Longer consideration windows
- Brand lift as complementary metric
How ROASPIG Helps
Attribution measurement requires careful tracking and analysis. ROASPIG provides comprehensive attribution tools:
- Multi-Model Reporting: See click-through and view-through performance side by side
- Incrementality Testing: Measure true lift beyond attribution model limitations
- Cross-Channel Attribution: Understand how retargeting interacts with other channels
- Audience-Level Attribution: Different attribution weights by audience segment
- Custom Windows: Analyze performance across multiple attribution windows
Common Attribution Mistakes
Use proper exclusion strategies while avoiding these measurement errors.
- Over-Crediting Views: Counting view-through for organic conversions
- Ignoring Views Entirely: Missing legitimate ad influence
- Inconsistent Windows: Changing attribution mid-campaign
- Cross-Platform Confusion: Different attribution by channel
- No Incrementality Testing: Assuming all attributed conversions are incremental
Incrementality: The Ultimate Measure
Beyond click vs. view, the real question is incrementality—would the conversion have happened without the ad?
Testing Incrementality
- Use Meta's conversion lift studies
- Run holdout tests (control group sees no ads)
- Compare attributed vs. incremental conversions
- Adjust bidding based on true incremental value
The Bottom Line
Click-through and view-through attribution both have valid uses in retargeting measurement. Click-through provides conservative, defensible metrics. View-through captures broader influence. The right approach combines both while ultimately validating with incrementality testing.
For most retargeting campaigns, start with 7-day click + 1-day view as your primary measurement, then layer in incrementality studies to understand true value. Adjust strategy based on what your data reveals.
Frequently Asked Questions About Attribution Models
Click-through attributes conversions to users who clicked your ad before converting. View-through attributes conversions to users who saw but didn't click your ad, then converted within the attribution window (usually 1 day).
It depends on your objectives. Click-through is more conservative and better for direct response measurement. View-through captures broader influence. Most advertisers use both: 7-day click + 1-day view.
It can, especially for retargeting high-intent audiences who might have converted anyway. This is why incrementality testing is important—it measures whether ads caused conversions or just correlated with them.
For most ecommerce retargeting, use 7-day click + 1-day view. For longer sales cycles (B2B, high-ticket), you may want to analyze 7-day click data more heavily. Match window to your typical conversion timeline.
Use Meta's conversion lift studies or run a holdout test where a portion of your retargeting audience doesn't see ads. Compare conversion rates between exposed and unexposed groups to measure true lift.