Account View Through Rate

Understanding how data enrichment can be applied in real-world scenarios to drive business results and improve operational efficiency.

Updated July 2025

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Definition: Account View Through Rate

Account View-Through Rate: Account View-Through Rate (AVTR) measures the percentage of targeted accounts that view a specific digital advertisement or content piece, indicating engagement without requiring a direct click.AVTR is an essential metric in digital marketing and sales automation because it helps businesses understand the effectiveness of their advertising campaigns at an account level, beyond just click-through rates. By tracking the visibility and engagement of ads among targeted accounts, marketers can better assess whether their content is reaching the right audience and resonating with them. This metric is particularly useful in account-based marketing (ABM) strategies, where the focus is on key accounts rather than individual leads. A high AVTR suggests that the campaign successfully captured the attention of intended accounts, which can inform future engagement tactics and content adjustments to improve conversion rates. Understanding AVTR enables businesses to refine their marketing strategies, ensuring that their efforts and resources are effectively targeted and optimized for maximum return on investment.

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Example of Account View Through Rate

For example, a B2B software company implementing an account-based marketing campaign might create a series of digital ads specifically targeting 100 enterprise-level accounts they've identified as high-value prospects. After running the campaign for one month, they discover that executives or decision-makers from 65 of these targeted accounts viewed their ads, giving them an Account View-Through Rate of 65%. While only 15 of these accounts actually clicked on the ads, the higher AVTR indicates broader awareness among their target audience. The marketing team uses this insight to develop personalized follow-up content for the 65 engaged accounts, prioritizing those that showed interest but haven't yet converted, ultimately resulting in 12 new enterprise customers-many of whom initially only viewed but didn't click the original advertisements.