Deep Dive: Google Adds Essential Path-Based, EVC & VTC Columns to Demand Gen Campaigns

Google recently announced a significant enhancement to its Demand Gen campaign reporting, introducing several new columns designed to provide a more holistic understanding of campaign performance. As reported by Search Engine Land, these additions address a critical need for advertisers running campaigns across Google’s visually-driven platforms like YouTube (including Shorts and In-Stream), Discover, and Gmail.

While Demand Gen aims to drive conversions and nurture prospects mid-funnel, accurately measuring its impact has been challenging using traditional click-centric metrics. The introduction of path-based attribution, Engaged-view Conversions (EVC), and View-through Conversions (VTC) columns directly tackles this challenge.

Why Standard Conversion Reporting Falls Short for Demand Gen

Demand Gen campaigns operate heavily on platforms where user interaction differs significantly from standard search behavior. Users browse Discover feeds, watch YouTube videos, or scan their Gmail inboxes. Often, exposure to an ad influences future conversion behavior without an immediate click.

• Visual Consumption: Interactions are often passive views or brief engagements rather than direct clicks.
• Delayed Impact: An ad seen today might lead to a branded search or direct site visit tomorrow.
• Cross-Device Journeys: Users might see an ad on mobile (YouTube app, Discover) and later convert on a desktop.

Relying solely on click-based conversions severely undervalues the awareness and consideration generated by Demand Gen campaigns, potentially leading to incorrect optimization decisions and budget allocation.

Unpacking the New Demand Gen Reporting Columns

Google is rolling out three key types of columns to provide deeper insights:

1. Path-Based Attribution Columns (`Conversions`, `Conversion value`)

These columns leverage the attribution model selected at the conversion action level (e.g., Data-Driven Attribution, Linear, Position-Based). Unlike the standard `Conversions` column, which often defaults to last-click in some views or relies solely on clicks depending on campaign setup, these path-based columns:

• Incorporate Multiple Touchpoints: They distribute credit across various ad interactions (including clicks *and* engaged views) that contributed to the conversion, based on your chosen model.
• Provide Holistic Value: Offer a more comprehensive view aligned with how Google attributes conversions in other campaign types like Search and Performance Max when using non-last-click models.
• Enable Better Comparison: Facilitate a more consistent comparison of Demand Gen’s contribution relative to other channels within the Google Ads ecosystem using the same attribution logic.

Key Takeaway: Use these columns for a view of performance that reflects your overall attribution strategy, acknowledging the full funnel impact beyond just the final click.

2. Engaged-View Conversions (EVC)

EVCs specifically measure conversions that happen after a user has meaningfully engaged with a video ad but hasn’t clicked.

• Definition: A conversion is counted as an EVC if a user watches at least 10 seconds of a skippable in-stream ad (or the entire ad if shorter than 10 seconds) or watches a YouTube Shorts ad, and then converts within the defined EVC window (configurable, often defaults to 3 days).
• Importance: Crucial for understanding the direct impact of video ad viewership on driving conversions, even without a click. It highlights the effectiveness of your video creative and targeting in prompting later action.
• Key Takeaway: EVCs demonstrate the persuasive power of your video content itself, separate from immediate click actions.

3. View-Through Conversions (VTC)

VTCs capture conversions that occur after a user has merely *seen* an impression of your ad but did not click or register an engaged view.

• Definition: A conversion is counted as a VTC if a user is served an ad impression (e.g., sees a Discovery ad thumbnail, a Gmail ad header, or a brief video view not meeting EVC criteria) and then converts within the VTC window (configurable, often defaults to 1 day).
• Importance: VTCs help quantify the upper-funnel impact and brand awareness generated by Demand Gen ads. While correlation isn’t always causation, significant VTC volume suggests your ads are influencing users who later convert through other channels or direct visits.

Key Takeaway: VTCs offer insight into the broader branding effect and impression-driven influence of your campaigns, particularly relevant for visual placements in Discover and Gmail.

Strategic Implications for Marketers

The availability of these columns empowers marketers to:

• Gain Accurate Performance Insights: Move beyond potentially misleading click-only data to understand the full value driven by Demand Gen.
• Optimize More Effectively: Make informed decisions about bidding, budgeting, targeting, and creative based on a complete picture of what drives conversions (clicks, engagements, views).
• Justify Demand Gen Spend: Clearly demonstrate the contribution of these campaigns to overall business goals, including upper and mid-funnel influence.
• Refine Attribution Analysis: Use path-based columns to integrate Demand Gen performance into broader cross-channel attribution discussions.
• Enhance Creative Testing: Correlate specific ad formats or creatives with higher EVC or VTC rates to understand what resonates visually.

Actionable Steps and Considerations

• Familiarize Your Team: Ensure anyone analyzing Demand Gen performance understands these new metrics and their definitions.
• Customize Reporting Columns: Add the new Path-based, EVC, and VTC columns to your standard Demand Gen reports in the Google Ads UI.
• Review Attribution Settings: Ensure your conversion actions are set up with appropriate attribution models and window lengths (for clicks, engaged views, and view-throughs). Data-Driven Attribution (DDA) is often recommended for leveraging Google’s machine learning.
• Analyze Holistically: Don’t look at these metrics in isolation. Analyze them alongside click-based conversions, cost, impression share, and other relevant KPIs.
• Update Dashboards and Reporting: Incorporate these metrics into internal and external reporting to provide a complete performance narrative.
• Educate Stakeholders: Explain the value and meaning of non-click conversions (EVC, VTC) to stakeholders who may be accustomed to last-click evaluation.

Conclusion: A Clearer View of Demand Generation

The introduction of path-based attribution, Engaged-view, and View-through conversion columns is a welcome and necessary evolution for Google Demand Gen reporting. It provides advertisers with the tools needed to properly evaluate and optimize campaigns running across Google’s increasingly important visual discovery surfaces. By embracing these metrics, marketers can gain a truer understanding of how Demand Gen contributes to the entire customer journey, ultimately leading to smarter investments and improved campaign results.