Marketing can help you grow your business and take it to new heights — if you do it right. Unfortunately, most marketers make the same few mistakes again and again. When everyone around you is making the same mistakes with marketing, it can be extremely difficult to fix your approach. If you’re looking to overhaul your marketing strategy so you can boost returns on marketing investment, it’s time to start actively avoiding the most common marketing mistakes. Here are five mistakes and how to fix them:
It’s a no brainer that personalization makes customers feel special, and as a result, improves their shopping experience – and in most cases result in higher purchases, increasing your bottom line. These days every business-client interaction is all about personalization, and several companies now cater to eCommerce businesses with different personalization tools such as product recommendation engines offering personalized product recommendations, personalization as a service software, web personalization, and other various personalization technologies which beautifully combine real time online consumer behavior with machine learning to deliver the most outstanding shopping experience to your customers. Personalization is and should be seen as a tool to improve user experience, and this can be done in several ways...
Nearly every business leader (99% according to an HBR study) recognizes the need to build a data driven organization. However, so many struggle to use data for a variety of reasons, a big one of them being that data exists in all sorts of places. This is especially the case with startups, who use a number of out of the box tools that don’t connect to each other, and that only offer so much granularity and flexibility. The solution? A data warehouse.
Data science is the field of applying advanced mathematical and statistical techniques to large sets of data to uncover insights that can improve the performance of different parts of a business. Data science is used in growth to uncover commonalities between types of users that are either successful or unsuccessful with a product. Marketers and growth teams use data science findings to improve the performance of their product, user acquisition funnel, user retention and more. These are the best articles on how to use data science to grow your business. From how to analyze data using R, pandas for Python, regression, model building, SQL and more, you'll learn how to apply data science concepts to growth.
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