Winter sales secrets with customer preference analysis
Winter?is a time for?holidays and festivities and a unique opportunity for?businesses to harness the potential of seasonal sales.?During this crucial time, when customers are more likely to buy, it becomes important to use modern solutions that go beyond traditional sales methods. Faced with growing consumer expectations, companies need real-time data to understand customers' preferences and shopping habits so that their offers are tailored to their audience's needs. In this article, we will show how, when used properly, knowledge of customer preferences can not only increase sales but also build long-term relationships with customers, making winter sales a period of memorable shopping experiences.?
Transaction trends dashboard?
Even the most attractive offer may not deliver the expected results if it is not based on reliable real-time data. A transactional trend dashboard is a tool that supports the creation of effective winter sales strategies through data visualization, allowing companies to adapt their actions to changing consumer preferences.??
Imagine the scenario:?Your store is?faced with the task of creating a promotional offer for winter accessories and clothing. How much easier will this be if you have access to data on transactions, the most popular products or categories - this will allow you to better understand your customers' shopping habits. Based on such data, you can personalize offers to align with changing purchasing trends.?
Pro Tip: You can enrich such a dashboard with analytics compiling products commonly bought together.?Analyzing such data allows you to quickly identify which accessories are often bought together (e.g., hats and gloves).?
Target the best customers for your campaign?
The success of a winter sales campaign lies in the ability to reach the right customer group. Precise targeting is, therefore, essential to maximize the effectiveness of marketing and sales activities, directing communication to those most interested in the offer.?
How to achieve this: Use the capabilities of propensity prediction?to calculate the likelihood that customers will purchase products from a particular brand.?Based on this, using percentiles, you can create a segment of the top 30% of customers with the highest probability of buying a particular brand's range. You can then use this segment with precise audience selection in an email campaign to target those most likely to interact and purchase.?
Pro tip: Further optimize your campaigns by leveraging the capabilities of Time Optimizer to reach the right customers at the best possible time.?
Predict propensity to buy items with an attribute?
In a world full of diverse products and services, finding the right ones and matching them to customer's needs and preferences is a key success factor. Tailoring offers to the individual customer journey, especially in terms of product attributes, can effectively influence purchasing decisions. ?
How to do it: Use?the predictive propensity capabilities?to calculate the likelihood of customers purchasing items with?specific attribute values, such as color or size. Based on this information, you can segment customers according to their propensity to make a purchase and tailor offers and communication to them, thereby increasing the effectiveness of campaigns and building stronger customer relationships.?
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Pro tip: Use the prediction results to better adjust your pricing strategy during the sales season based on which products are likely to be searched for and which need to be supported by promotions.
Analyze customer’s preferred item category?
When preparing for a seasonal sale, it is important to go beyond traditional methods and focus on a deeper understanding of customer preferences, especially in the context of their favorite product categories. Seasonal sales are a great opportunity to increase sales and build customer loyalty, especially when they are based on well-understood preferences.? ?
Scenario: Use the expression capabilities to check the most frequently visited category of items for each customer. You can add analytics to your dashboard, and monitoring and analyzing them can help you find the most popular category among buyers.??
Pro tip: Use the knowledge about the customer's preferred product category to personalize the website during the winter sales by highlighting the most frequently visited categories.??
Benefits?
By implementing the use cases described, significant benefits can be achieved in terms of: ?
The winter sales season is a unique opportunity for companies to establish better relationships with their customers. By using customer preference analysis and implementing the use cases described, companies can create a win-win situation: customers enjoy a personalized shopping experience, while companies experience increased sales and customer loyalty. This winter season, let customer preference analysis be your guide in preparing an effective sales campaign.
Karolina Staszak , Product Marketing Manager