{"id":22499,"date":"2023-12-28T23:53:00","date_gmt":"2023-12-28T23:20:00","guid":{"rendered":"https:\/\/www.bloomreach.com\/library\/customer-data-collection-and-the-4-ds-of-personalization"},"modified":"2025-02-12T15:41:50","modified_gmt":"2025-02-12T15:41:50","slug":"importance-of-customer-data-collection","status":"publish","type":"library","link":"https:\/\/www.bloomreach.com\/en\/blog\/importance-of-customer-data-collection","title":{"rendered":"Customer Data Collection and The 4 D’s of Personalization"},"content":{"rendered":"

Not even the most successful digital commerce<\/a> companies are immune to the oncoming paradigm shift from the comfort of ongoing acquisition to a customer loyalty<\/a> focus. Ecommerce personalization<\/a> at scale is the only answer, where practicing the four D\u2019s: customer data collection, decision-making, designing engagements, and the delivery of experiences distinguish the leaders from the laggers.
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Key Takeaways<\/span><\/div>\n
SMS short codes allow businesses to send and receive test messages quickly, easily, and at scale.<\/div>\n
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  1. We\u2019re experiencing a paradigm shift where customer acquisition is no longer a sustainable business practice.<\/li>\n
  2. Databases have siloed as they\u2019ve historically grown up, but with customer data platforms (CDPs) data is structured around the customer instead of department, channel or device, creating a single customer view (SCV).<\/li>\n
  3. Organize customer data collection with the use of the four D\u2019s to collect data, make decisions, design communication, and deliver exceptional experiences..<\/li>\n<\/ol>\n<\/div>\n

    The Importance of Customer Data Collection<\/h2>\n

    While the unanimous, underlying objective for companies continues to be increased revenue, what\u2019s driving the ability to achieve this goal? Most companies are starting to realize the importance of proper data management and analytics in their business practices:<\/p>\n

    \"Why *Source: Harvard Business Review<\/p>\n

    While we know where future interest and investment lies, let\u2019s consider the alternative. Let\u2019s explore the problems that arise when\u00a0not\u00a0employing customer data. Where without complete knowledge of the customer\u2019s purchasing journey you may run into situations where you\u2019re pissing off customers \u2013 which is the opposite of customer loyalty.<\/p>\n

    Situation:\u00a0<\/strong>A customer purchases a product and on the very next day they receive a discount code for that same product.<\/p>\n

    Solution:\u00a0<\/strong>On behalf of the brand, this may not have been intentional. Instead of sending one email en masse, it\u2019s best to consider segmenting your mailing list to include purchase history in order to prevent a disastrous experience for your customers.<\/p>\n

    Let\u2019s consider another one:<\/p>\n

    Situation:<\/strong>\u00a0Customers receive too many emails, they begin to engage with them less often eventually leading them to unsubscribe.<\/p>\n

    Solution:<\/strong>\u00a0By introducing frequency capping, customer can be grouped based on their previous email engagement<\/a>. Thus more active customers can receive more emails than less active customers. As is standard practice, this can be A\/B tested<\/a> to continuously recalculate the optimal segmentation.<\/p>\n

    \"Gather<\/p>\n

    The Benefits of Collecting Customer Data<\/h2>\n

    Collecting customer data offers a wealth of knowledge that can provide crucial insights for any company. This practice empowers businesses to make informed decisions, enhancing their ability to meet customer needs and expectations effectively.<\/p>\n

    One significant benefit of customer data collection is the ability to personalize marketing efforts. Understanding individual customer preferences allows for the creation of personalized marketing<\/a> campaigns. By doing this, businesses can engage with customers on a more personal level, increasing customer satisfaction and loyalty.<\/p>\n

    Moreover, customer data can highlight trends and patterns in purchasing behavior. These insights can guide product development, ensuring offerings align with customer needs and desires. In turn, this can lead to increased sales and improved profit margins.<\/p>\n

    Customer data can also help identify potential issues before they become problems. By monitoring customer feedback and behavior, businesses can proactively address concerns, improving the overall customer experience.<\/p>\n

    Customer data also helps to provide ecommerce companies with a competitive edge. Understanding customers better than competitors do can position a company as a leader in its industry. This insight can help businesses stay ahead of market trends and adapt to changes quickly.<\/p>\n

    Using Customer Data for Personalization<\/h2>\n

    Time and time again, customers are plagued with all sorts of poor customer experiences. If you\u2019re lucky, they\u2019ll forgive the fact that the situation ever happened, blaming it on a fluke the first time around. Though quite often, with the short attention span we see today, customer\u2019s just take the easy way out, severing ties with the brand completely.<\/p>\n

    If you\u2019re lacking accessible data for quick decision-making, you\u2019ll soon be facing similar problems without a solution at hand: A dangerous situation now that the market\u2019s shifting away from acquisition-dependency and towards loyalty.<\/p>\n

    In the early bookstore days of Amazon, there was a feature called Bookmatch. It required customers to rate a few dozen books and then generated recommendations based off their tastes. The system was slow and crashed frequently, and Amazon found that customers were reluctant to go through the extra effort of evaluating books.<\/p>\n

    So Amazon\u2019s CEO, Jeff Bezos, suggested that the personalization team develop a much simpler system, one that made recommendations based on books that customers had already purchased.<\/p>\n

    Engineer Eric Benson, took about two weeks to construct a preliminary version called \u201csimilarities\u201d that grouped together customers who had similar purchasing histories and then found books that appealed to the people in each group. It immediately yielded a noticeable uptick in sales and allowed Amazon to point customers toward books that they might not otherwise have found.<\/p>\n

    This feature was a small, yet noticeable start to providing mass personalization with the creative use of customer data. Though\u00a0we\u2019ve come a long way since \u201cpeople who bought this also bought that.\u201d<\/strong>\u00a0We\u2019re now able to engage in loyalty strategies on a very different scale.<\/p>\n

    Where customers exclusively pursue brands that provide:<\/p>\n