How to Perfect Personalised Marketing (With Real Examples)

Discover how to improve personalised marketing strategies with real examples and tips to tailor your marketing efforts effectively to your target audience.

FAQs

Yes, you can use artificial intelligence (AI) and machine learning to analyse customer data in real-time to identify patterns, predict behaviour, and personalise marketing efforts. Some key ways AI is being implemented to personalise experiences are through live chat and conversational commerce to provide customers with relevant information to inform their purchases, instantly.

A customer data platform (CDP) collects customer data and organises it all in one place under a unique customer profile. Having this unified data helps businesses segment customers to provide personalised marketing, improve customer relationships and customer loyalty.

Sending a personalised marketing email or SMS using automation can help recover abandoned carts. If you send out an offer or discount based on a customer’s preferences, purchase history, and past interactions, it can compel them to return to their cart and reduce lost sales.

Marketers often say that it takes six to eight touches before a customer is likely to convert. This is why it’s important to have an omnichannel marketing strategy, which means having consistent marketing across multiple platforms. By using a unified customer profile, you can create consistent, personalised experiences across all channels, improving customer engagement.

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