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There is only one solution when it comes to this obstacle: investing in the education of technologies that can do the heavy lifting. Companies should empower their talent by expanding their understanding about what customers want to see, giving them the knowledge they need to overcome personalization challenges.

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Obstacle 4: Finding the right mix of messaging
Once you’ve got your organizational alignment, data, and knowledge america phone number list bases all in order, you still need to figure out how to best connect with your customers across a multitude of channels. You don’t just want to blast them with a firehose of branded content or redundant messaging, either. The key is to speak to them on a personal level. But how do you use your customer data to scale your efforts, yet still tailor your messaging?

This is where AI can help with one of the biggest personalization challenges. It isn’t realistic for a single marketer in most businesses to keep track of every piece of outreach, content, and engagement on a per-customer basis, but it’s a breeze for a properly trained AI. With a well-trained generative AI drawing off good data, your customers will receive ongoing engagement tailored to their personal preferences, not only in terms of which content they see, but when they see it, and how often.

For example, take a customer who’s mostly responsive to email outreach but also tends to jump on special offers on social media. They would see a regular content drip in their inbox, but might only encounter your messaging on social when there’s a special offer that echoes items in their purchase history.

When you do it right, every interaction will feel like part of the same pleasant, ongoing conversation with a brand that recognizes them as an individual, rather than just a faceless customer. It makes sure everyone gets what they actually want out of your brand, and it makes sure your brand gets the most out of your customers.

Time to start overcoming personalization challenges
Personalization is a work in progress. Tech tools are evolving, and so are our processes and skills (not to mention customer expectations). Now that you’ve identified the four top personalization challenges, take stock of your own organization and build a path to success – both for yourself and for your customers. If you’ve used one of the free generative AI tools available, you’ve seen how groundbreaking this technology can be. Inputting simple prompts can generate complex responses and produce intricate and sophisticated outcomes. The business applications of this technology, however, are still being explored. One thing is clear: We are in the midst of the latest technological revolution. Much like how cloud computing reshaped the business landscape, the potential of AI + Data + CRM will change the playing field of business as we know it.