Email marketers have high hopes for artificial intelligence (AI). But not all are yet up to speed, judging by The Role of AI and Automation in Email Marketing Success, a study by Selzy.
Overall, 33.7% are marketers said they are unfamiliar with AI in email marketing, while 38% are very familiar with it and 38.3 somewhat so.
In addition, 63% said
they would trust AI-generated emails but would double-check their work, while 12.3% said they are skeptical and 24.7 said they fully rely on AI-generated emails.
Their
confidence is not so pronounced when it comes to AI email analytics: 42.3% are unfamiliar with them, while 14.1% express concerns and 5.1% consider them to be rarely safe. Another 38.3% consider
AI-powered email analytics to be safe.
Moreover, the respondents report these negatives:
- Organizations lack access to vital
real-time data — 46%
- Workflow challenges is a critical barrier for practitioners — 43%
- Marketers no longer prioritize subject line
personalization — 88.52%
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Selzy surveyed 1,250 businesses. If is there a flaw, it is that all are users of the Selzy email marketing platform. Still, it could serve as
a snapshot. The most popular AI features are:
- Automatic content and image generation — 39.7%
- Personalized content and newsletters
— 33.9%
- Filtering contacts and databases — 13.2%
- Determining optimal time to send emails —
13.2%
On the positive side, 58.3% are confident that AI can improve email newsletters, and 33.3% are curious about the effectiveness of AI. And, 8.4% state
that AI is not impactful for email improvement.
In addition, 50.7% find AI more effective than traditional approaches in email marketing. But 29.9% are uncertain,
while 10.4% don’t’ see any significant difference and 9% find AI as effective as traditional approaches.
Selzy surveyed marketers at 1,250 businesses. If
is there a flaw, it is that all are users of the Selzy email marketing platform. Still, it could serve as a snapshot.
In general, companies are using AI for the
following:
- Service operations optimization — 24%
- Creation of new AI-based products — 20%
- Customer
segmentation — 19%
- Customer service analytics — 19%
- Enhancement of products through AI —
19%
- Customer acquisition and lead generation — 17%