Email AI Use Centers on Content as Revenue Drivers Lag

Marketers are primarily applying artificial intelligence to email content production, while giving less attention to personalization, automation and deliverability, according to an analysis on the Neil Patel Blog. The article argues that those three areas have greater potential to affect email revenue than simply using AI to produce more messages.

The analysis describes marketing teams as facing pressure to work with fewer resources while improving personalization, customer retention, lifetime value and efficiency. AI can help teams operate at greater scale, but the article distinguishes between using it to create content and applying it to decisions about customer intent, timing and relevance.

Personalization is moving beyond broad groups based on factors such as location and demographics, the article says. The alternative is individual targeting informed by predictions about customer intent. Its proposed approach connects that targeting with automated decisions, rather than treating each message as a separate content task.

Automation also accounts for a larger share of email revenue at bigger businesses, according to figures cited in the article. At companies with more than $51 million in revenue, automation generates 71% of email revenue, compared with 11% from campaigns. The article presents this as evidence of automation’s role alongside conventional email campaigns.

Deliverability receives comparatively little attention among the challenges reported by marketers. The article cites list growth as the leading challenge at 29%, followed by personalization at 25%; deliverability is last at 6%. Yet it also states that nearly one in five sent emails fails to reach the inbox, with most of that loss occurring before subscribers can engage.

What this means for marketers

Teams assessing their use of AI in email can look beyond content output and consider how personalization, automation and deliverability work together. In particular, the article suggests treating inbox placement as a foundation: decisions about whom to target and when to send have limited value if the message does not arrive. Connecting those functions is its recommended framework for improving the overall email program.