For example, Unbounce has an AI conversion optimization tool for landing pages. Rather than split-testing a couple of variants at a time, marketers can create as many landing pages as they want, then let AI automatically send visitors to the top-converting page for people like them. On average, it gets marketers get 30% more conversions. Just sayin’. Problems with AI in marketing Of course, it’s not all sunshine and algorithmically-generated daisies. AI is changing the marketing landscape stupidly fast, and it’s important to also recognize some of the risks that come with this dramatic shift in the way we work.
For example, AI isn’t so great at replicating the emotional Denmark WhatsApp Number Data intelligence of marketers. , and if their entire experience with your brand is jumpin’ from one artificial experience to the next, it could be a turn off. It’s crucial that marketers don’t let AI replace genuine interaction and connection with their customers. Likewise, AI lacks human creativity. Generative AI models are incredible for their ability to churn out an absolutely bonkers amount of… well, pretty decent written and visual content.
After all, they were trained on the whole gosh-dang Internet.) But AI doesn’t yet come up with truly original ideas. It just combines other ideas it’s seen before into something that looks kinda new. Marketers can use these tools to accelerate their creative processes, but it you wanna make something great, you’re better off putting in the time to do in the ol’ fashioned way: Thinking of it yourself. There are other problems with AI, like privacy and data collection.
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