What is AI being used for in digital marketing? Well, just about everything.
From content writing to research, AI has proven quite useful. But beyond the buzzwords, there is a whole other side of AI application in digital marketing that is being used quietly to transform brands’ consumer experiences. Let’s dive into some of the lesser-known yet highly impactful uses of artificial intelligence in marketing that deserve your attention so you can make the most of it.
10 Ways In Which AI Can Be Used for Marketing Automation Beyond the Basics
1. AI-Driven Audience Segmentation
AI can analyse behaviour and datasets like purchase history and sentiments to create a hyperspecific audience segment. This means your content is delivered to the right audience at the right time.
2. Automated A/B Testing at Scale
It’s common to try variations of ads and landing pages for performance marketing ads in advertising. But imagine trying to run all the variations to find your right pick. Well, AI can complete that task much faster and more efficiently than humans while learning what works and deploying winning combinations automatically. That’s how marketing automation with AI can take your ROI to the next level.
3. Predictive Lead Scoring
During the sales process, the sales team works after every lead. AI predicts which leads will most likely convert based on their digital footprint and engagement. This helps allocate efforts better to high-intent prospects and close deals faster.
4. AI-Powered Content Curation
The world is full of content, and most of it isn’t relevant to every individual. AI tools can sweep through this vast amount of information and recommend pieces most relevant to your intent based on past behaviour and preferences.
5. Dynamic Pricing Models
You don’t have to manually change prices every time demand and supply patterns change. AI can do it for you. It can adjust the price of your offering in real-time based on fluctuations, competitor pricing, user behaviour, and even inventory levels. AI is truly changing digital marketing in revenue maximisation and competitiveness.
6. Personalised Email Campaigns
Name personalisation is way too old school, all thanks to the use of AI in marketing. It crafts subject lines and email bodies and even suggests optimal sending time tailored to individual user behaviours and interests, drastically improving open and click-through rates.
7. Smart Social Listening
Social listening is more than tracking mentions. It is analysing the sentiment, context, and emotional tone of conversations around your brand and industry, providing actionable insights for immediate application.
8. Customer Churn Prediction
Before you even register whether the customer is leaving, AI can predict it. AI can spot warning signs by analysing usage patterns, support interactions, and engagement processes, allowing you to intervene and retain valuable customers.
9. Intelligent Chatbots with Sentiment Recognition
The ability to understand the customer’s question, mood, and response and address it accordingly leads to far more positive interactions. This can be a crucial step in retaining consumers and building a positive brand image.
10. Ad Creative Optimisation
Gone are the times when you write headlines, visuals and CTAs and get it straight to design. With AI tools suggesting headlines, visuals, and CTAs based on performance and ever-changing trends, you can have a much more refined lead generation process and conversions.
Conclusion
AI is more than automating tedious tasks. It’s an assistant that can help you go above and beyond in your digital marketing plans. From understanding audiences on a granular level to predicting future outcomes, these best use cases for digital marketers are examples of how AI is here to empower more intelligent decisions and drive truly impactful results. The future of marketing is intelligent, and it’s time to explore every corner of what AI can do.
