Personalisation is an invaluable tool for modern digital marketing. With artificial intelligence becoming more readily available, marketers can now harness the power of AI-driven personalisation to provide customers with more tailored, relevant and timely recommendations.
Using AI-driven personalisation in digital marketing campaigns can help generate more conversions, improve customer satisfaction and boost website engagement rates. AI-driven personalisation takes customer data such as purchase history and website behaviour and uses it to anticipate what customers are likely to want and deliver those recommendations in real-time. With the added capabilities of AI, marketers can automate and optimise the whole process, accelerating results and reducing the need for manual intervention.
Common ways to use AI Personalisation
The most common way to use AI-driven personalisation in digital marketing is through personalised campaigns. This involves mapping specific customer segments to different types of content and offers, such as personalised product or service recommendations, educational materials, loyalty bonuses, holiday discounts or other offers. The goal of these campaigns is to drive conversions and return visits to the website.
The ability to provide customers with more tailored experiences is driving the adoption of personalised marketing. This can include things such as customising content, tailoring offers, inspiring loyalty programs, and delivering dynamic product recommendations based on age, gender, location, buying history, and preferences. segmentation and personalisation strategies. By using customer data such as purchase history, browsing habits and location, companies can tailor their marketing campaigns and interactions to meet their customer’s individual needs and wants. This, in turn, will increase customer engagement and ultimately improve brand loyalty.
AI can be used to personalise digital marketing to different customers in a variety of ways.
AI can analyse user behaviour to determine the best time and platform to deliver targeted messages to each user. This can help ensure that the right message is being seen at the perfect time. When it comes to digital marketing, timing is everything. It’s important to make sure that the right message is seen by the right audience at the right time. This means knowing when and how to maximise reach, engagement, and conversions. For example, you may want to post content on social media when your target demographic is most likely to be online. You may also want to adjust your messaging and visuals to match the current season or holiday. Having a well-timed marketing strategy will help you get the most out of your efforts.
Predictive analytics can help you understand the buying behaviour of customers and anticipate their future needs. Predictive analytics uses historical data to identify trends and make predictions on what customers will likely do in the future. It can help you forecast future trends and consumer preferences, customise product offerings, devise more effective marketing strategies and optimise pricing. Predictive analytics can also be used to detect fraud and risks in order to protect businesses.