With the advent of ChatGPT, AI has taken a prominent place in marketers' toolkits. But beyond algorithms that generate content (text, image, or video), AI has broader applications in optimising brands' marketing strategies. And in this context, what could be more natural than incorporating a dose of AI into the deployment of Marketing Automation strategies, which are currently all the rage with companies of all sizes.
AI and marketing automation can prove to be a dynamic duo capable of optimising the effectiveness of your campaigns while reducing the time and resources needed for their implementation. How can AI help you with the successful implementation of your marketing sequences?
1. Advanced Campaign Personalisation
The stakes: The personalisation of one-to-one message content represents the holy grail of digital marketing. While it is essential to adapt messages to each customer individually, this can prove complex when a brand has hundreds of thousands or millions of customers. The objective is therefore to be able to create experiences adapted to the behaviours of different customer typologies to enable one-to-few personalisation while maintaining operational efficiency at scale.
The AI solution: Artificial intelligence allows for in-depth analysis of user behaviour, preferences, and past interactions to create audience segments (customer profiles – personas). Unsupervised machine learning algorithms are highly effective for addressing these challenges on large and diverse datasets. These algorithms enable the isolation of «clusters» of contacts with homogeneous behaviours, which are then used to automatically adapt campaign content to each of these audience segments.
Concrete example: The use of AI to analyse browsing data, purchase history, and various general interactions of contacts with the brand allows marketers to segment their audience in a very precise way, particularly through the implementation of clusters. This approach can bring about a 30% increase in conversion rates % through personalised emails featuring products tailored to each segment's expectations.
Top tip: Select a marketing solution that allows you to collect a wide range of information, particularly on the online customer journey. The solution must include an AI tool to analyse your customer data. You will be able to use these insights to create more precise audience segments and personalise your messages accordingly.
2. Automation of Content Creation
The stakes: Producing relevant and varied content for each of your audience segments can be time-consuming and expensive.
The AI solution: LLM-type algorithms are now capable of generating quality content, whether it be emails, social media posts or even blog articles. This technology allows for the rapid creation of content suited to each audience, whilst maintaining consistency in your brand’s tone and style.
Top tip: Generative AI tools allow you to generate content tailored to each audience quickly from your document corpus, while preserving the consistency of your brand's tone and style.
3. Optimising Open and Conversion Rates
The stakes: Determining the ideal moment to send an email or launch a campaign can sometimes feel like a real headache.
The AI solution: Analysing campaign data and the similarity between your contacts allows us to predict the most effective sending channels and times for each of your profiles (audience segments).
Example: Using an automated AI-based A/B testing system allows campaigns to be optimised by continuously testing variables such as email subject lines or send times. This approach can enable you to boost your open and response rates by over 15%%.
Top tip: Use a timing optimisation algorithm in your emailing strategy. Let the algorithm determine the best time to send your emails to each segment of your audience... but to do so, you will first need to train your algorithm by randomly sending campaigns to allow your algorithm to learn!
4. Improving Lead Quality through Intelligent Scoring
The enjeux: Identifying the most promising leads and choosing the ideal time to contact them can prove to be a real challenge.
Example: Integrating an AI-based lead scoring system into a CRM allows you to focus efforts on leads identified as having high potential. By adopting this approach, companies can increase their conversion rates by more than 20% % in just six months. This method also reduces the time spent qualifying leads and thus frees up time for your sales teams.
Top tip: Integrate an AI lead scoring solution into your CRM. Use real-time recommendations to prioritise your sales and marketing actions on the most promising leads.
5. Personalised Product Recommendations to Increase Engagement
The stakes: To offer the right products or services to each customer at the right time to maximise sales and customer satisfaction.
The AI solution: Recommendation algorithms, such as «collaborative filtering», analyse users' purchasing behaviours and interactions to suggest products they are likely to be interested in.
Example: Implementing an AI-based personalised recommendation system on an e-commerce website allows for the suggestion of complementary or similar products to those viewed by users. This strategy can lead to an increase in the average basket value of 20 %and an improvement in the overall conversion rate of 15 %.
Top tip: Ensure recommendations are consistent across all customer touchpoints to provide a seamless user experience and increase your sales.
Conclusion
Artificial intelligence can be an ally to help you deploy your Marketing Automation campaigns. By coupling the right algorithms with your sequences, you can not only optimise your campaigns but also offer a more personalised and engaging customer experience.
As we've just seen, the contributions of AI to marketing automation are numerous:
- One-to-few or one-to-one customisation
- Faster and more relevant content creation
- Continuous optimisation of your campaign performance
- A more precise identification of high-potential leads
- Product recommendations to boost your sales
It's time to take action and discover for yourself how AI can transform your marketing strategy. If you need personalised guidance or want to find out how our solution can help you implement these scenarios, don't hesitate to contact us for a demonstration: Request a demo
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