Automate relevant communications and increase Customer Lifetime Value

Identify customer consumption habits and make your campaigns relevant again automatically.

Put your customer communication on autopilot with personalized campaigns for each group, launched at the desired time or automatically according to predefined rules.

Discover customer groups with similar purchasing patterns, create marketing actions with relevant content, and multiply sales

Clustering is the automated and more powerful version of traditional customer segmentation, based on Machine Learning algorithms. This technique uncovers similar customer groups within the CRM. As a Predictive Marketing Ninja, you’ll use this knowledge to optimize and differentiate the content of your marketing actions.

Depending on the data used to create the datasets, you will discover different customer types. Primarily, we can cluster from a product, brand, or behavior perspective. In the Predictive Marketing Course, we explain how to create different datasets for clustering without technical or programming knowledge.

Artificial Intelligence applied to marketing allows us to identify key factors for each cluster, enabling personalized communication. Applying this technique, you’ll quickly see increased engagement and multiplied sales.

Personalize marketing actions with customer preferences

Never before have you been so close to personalizing content and promotions according to customer interests.

1. Store customer behavior and transactional data.
2. Humanize customer data with relevant attributes.
3. Run different clusterings with various configurations.
4. Choose the best classification and design the personalized campaign.
5. Communicate, measure, and optimize future communications.

Cluster customers with accumulated data to personalize campaigns, becoming more effective and generating higher profitability

Customer clustering can be used not only for personalized communication but also for creating more relevant acquisition campaigns. The better you understand the different types of customers who buy from you, the more accurate and personalized your customer acquisition campaigns will be.

One of the biggest mistakes most marketers make is segmenting with just one dimension. No person belongs to a single segment. Segmentation is highly contextual, and depending on the situation, a customer may belong to different segments.

These are the steps to properly implement customer clustering at any point in your Predictive Marketing strategy:

1. Define and understand the problem (usually a campaign) you're trying to solve.
2. Design the most appropriate data scheme (dataset calculation) for the specific problem.
3. Cluster until you find the right number of customer segments.
4. Analyze the results and solve the problem (design personalizations).

Clustering customers in your database will reveal customer personas you didn’t expect

Do they use your website? Are they discount addicts? How often do they buy? How much do they spend? How long will it take until they buy again?

Clustering allows you to communicate with the right tone for each customer. Those who only buy with deep discounts will be the perfect audience for clearance campaigns, while those who buy at full price will be ideal for new product launches.

Multiply campaign sales by Predictive Marketing Ninjas with Big Data and Artificial Intelligence

Each cluster based on customer data will reveal the DNA of the cluster, making it easier for the marketing specialist to identify the most differentiating and relevant attributes for that group. Artificial Intelligence can segment customers using far more variables than a human can. We can give the machine hundreds of data points for each customer, and the result will be groups where only a few attributes stand out (around 20 or fewer).

Leveraging this information allows us to personalize the shopping experience for our customers. Offering relevant content on social media, video campaigns, email marketing communications, or promotions on the website or eCommerce recommendations are some of the possibilities Predictive Marketing offers.

By implementing content personalization at every customer touchpoint, we create a longer-lasting relationship with the customer and increase the Customer Lifetime Value for each one.

Thanks to clustering techniques, the Predictive Marketing Ninja can multiply sales for all campaigns. In the Artificial Intelligence Marketing Course, we teach you how to discover different customer groups and personalize the experience with relevant content step by step and from the beginning.