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By choosing to report only verified engagement (filtering out bots and unqualified clicks), a publisher's numbers may look lower than competitors'. However, this forces a focus on quality growth and provides advertisers with data that ultimately proves the higher value and ROI of their audience.

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Relying on email opens and clicks for lead scoring is a major mistake. These metrics are unreliable because bots can trigger them, providing a false signal of engagement. A click does not equate to high purchase intent, leading sales teams to waste time on unqualified leads and causing frustration across departments.

A month with 25% fewer views can generate a record number of leads if the content is highly targeted to the right audience. This proves that viewer quality and intent are far more valuable for lead generation than raw view count, a common vanity metric.

To gain credibility with leadership and sales, marketers should stop hiding behind large vanity metrics like "millions of impressions." Instead, focus on small, directly attributable numbers that clearly demonstrate business impact. Honesty with smaller, meaningful data builds more trust.

Conventional engagement metrics like likes and shares are often misleading. A more valuable indicator of content quality is dwell time. In an environment where users can easily skip content, their choice to spend more time with an ad is a powerful behavioral signal that the message is resonating.

Many marketing platforms may inadvertently count clicks on the 'unsubscribe' link as part of the overall click-through rate. Manually ensure these are excluded from your reporting to get an accurate measure of positive engagement, as high unsubscribes should not inflate your success metrics.

As AI bots inflate engagement metrics like views and likes, these numbers will become meaningless. The only way to measure marketing success will be to track direct business outcomes, such as sales or leads. If the desired results happen, the inflated metrics don't matter.

Marketers have historically filtered out bot traffic to focus on human engagement. In the AEO era, this is inverted. Monitoring which AI agent bots are crawling your site and how frequently they access your content has become a critical top-of-funnel metric for visibility.

A high click-through rate (CTR) paired with a high unsubscribe rate indicates a problem. Ensure your analytics platform is not counting clicks on the unsubscribe link as part of your overall CTR, as this common oversight masks list health issues with falsely inflated engagement data.

To determine your true click-through rate, send an email campaign at an off-peak time like 2 or 3 AM. The clicks that occur within the first 30 minutes are almost certainly from bots, not real users. This number provides a baseline for how much your standard click metrics are inflated by automated activity.

Optimizing for cheap leads can attract low-quality subscribers who don't convert. MarketBeat found greater profitability by paying more per subscriber from reputable sources, which resulted in a much higher return on ad spend (ROAS).