Data Clustering in the Context of Email Marketing
Rohit Singh VP of Customer Engagement Schedule Free Consultation
  • Today, customers rule the market, and every business is fighting to win them over. There are a lot of ways to target these customers and sending emails is one of the ways to do so. However, organizing these emails has become a need since one size does not fit all. Clustering is a very important technique that is used to organize a large number of objects into smaller logical groups. This helps with the efficient use of these emails so the information on them can be easily found. Email mining or categorization is one of the tasks that clustering algorithms have been doing with the e-documents.

    Another measure call similarity measure for processing text is also suggested for email clustering. We are living in a Cyberworld with a lot of information and accurate retrieval of information is important. Emails containing certain keywords are placed in a cluster, these emails can also be grouped based on the time they were sent, for easy retrieval.

    Similarity measures, document clustering, text processing tasks, and clustering algorithm are words that are frequently used now that internet information management has become such a huge task.

    Impact Technology has on Email Marketing

    One of the major sources of communication is now the email system persons are now depending on it heavily. Emails are being used for both professional and personal communication. Algorithms have been developed for clustering and classification so that spam and classification for large text collection. Data mining and analysis can be done on emails for many purposes.

    Mastercard Spending Pulse reported that the eCommerce’s share in retail sales was approximately 13% in 2018. The huge growth was connected to an improvement in customer behavior data. Advanced Artificial Intelligence (AI) has given retailers more detailed insights into customer behavior, this has assisted them in finding ways to improve customer experience in many ways: personalized searches, customer support, product recommendation, and other areas.

    Marketing professionals who are aware of the new models will understand the capability of technology. Machine learning is becoming more advanced as the days go by and one of the main techniques that AI has been doing a better job with is classification and clustering.

    Crafting the right email

    Crafting a Follow-up e-mail can be quite difficult, as you will want to accomplish your end goal. In a world where there are so many emails being sent for a wide variety of reasons, you can find yourself consistently writing and reading emails and you might wonder what would make an email different from all the rest.

    A follow-up email should begin with the words that allow the reader to understand right away that there was a previous email. These words can be used to convey the message,” Just checking in to see”, or I thought I would check in to hear about” or any other group of words that will help persons to quickly understand that they are reading a follow-up email. 

    The trick lies in using the right mixture of technology with what is the “human touch”. The best way is to use the customer clustering technique to understand which customers need which message and how to send this message over. Some customers are looking for brand value, while some are looking for discounts, and all this information lies in your data. We at NextBee will help you find that information and use it to your advantage.

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