The biggest challenge for marketers is to achieve sustainable business growth despite high customer churn rates. While businesses are always interested in increasing the number of potential customers and converting them into paying customers for business growth, they ha
Time series analysis produces a series of information in a specific sequence, so it is not the same as other analyses. The added advantage of such analysis is that it takes responsibility for a smoother data-cleaning process in a business. Time series Analysis is an impo
Businesses invest a lot in numerous customer acquisition and retention strategies to gain fresh customers and see stable financial growth. However, customer acquisition vs customer retention – which one is more important? This question is unjustifiable, as both ar
As part of our new series – Express Analytics Leadership Forum – we spoke to Manoj Gupta, well-known digital marketer and author of a book on the customer data platform, and asked him to share his experience of working with a CDP.
How to Create An Agile Personalized Customer Experience In the digital age we live in, Customer Experience (CX) has become the key differentiator between a successful business and otherwise. Helping businesses in the process of providing a personalized customer experienc
Customer data platforms are a hot topic in the marketing world right now. Many companies are looking to implement CDPs in order to better understand their customers and create more targeted marketing campaigns. In this article, we roll out a roadmap for achieving CDP success in enhancing customer experiences.
Data Processing: Steps, Types and More In part 1 of this blog post, we discussed data preprocessing in machine learning and how to do it. That post will help you understand that preprocessing is part of the larger data processing technique; and is one of the first steps fr
While analyzing data, you must ensure that it has no errors. Mistakes give a false impression of the overall statistics of the data. To cut down errors, you need to prepare your data. Here's how.