Segment Your eCommerce Customers for Targeted Marketing

Marketing to your online customers can be daunting if you don’t have the right strategy. Fortunately, there is an effective way to reach potential shoppers and build valuable relationships with returning customers: eCommerce customer segmentation.  Segmenting your eCommerce customers allows for more accurate targeting of promotional campaigns and content which results in higher customer satisfaction and ultimately boosts sales. Learn how segmentation techniques can help improve your marketing efforts by focusing on what works best for each customer type! Why is eCommerce customer segmentation critical? Customer segmentation, or grouping customers based on common characteristics, enables eCommerce businesses to provide relevant, timely promotions to their users.  Our buying behaviors are heavily influenced by our age, gender, geography, surfing history, hobbies, and even the gadgets we use. They have an impact on what we purchase, why we buy, and how frequently we spend money. Customer segmentation, when combined with behavioral data, enables online retailers to create tailored experiences that replicate a customer’s favorite neighborhood shop. Furthermore, eCommerce customer segmentation informs marketing across all platforms, including emails, advertising, product suggestions, landing sites, product pages, and push alerts. Customer segmentation types for eCommerce Demographic This is one of the fundamental methods of eCommerce customer segmentation. It makes sense since marketing to a new mom who sells SaaS products for a job is not the same as marketing to a 40-something bachelor with many passive income streams. Geographic The location of a consumer has a significant impact on their buying habits. It determines the temperatures people experience, the objects that have cultural meaning, the currencies they use, and the festivals they observe. Aside from a user’s nation, state, area, and city, eCommerce organizations can divide consumers into several categories depending on the criteria, like language, cultural preferences, ect. Psychographic Are you a baseball lover or do you live for the major leagues of football? Do you volunteer at a shelter for animals or are you more concerned about your carbon footprint? Do you prefer watching Netflix or snuggling up in a corner with a book? Your tastes, no matter what they are, are a component of your psychographic makeup. Psychographic eCommerce customer segmentation goes further into a person’s preferences and dislikes by examining lifestyle choices, interests, social awareness, and beliefs. On-site behaviour Online behavioral segmentation removes the guesswork from forecasting what customers desire and are likely to buy. Each click provides a world of consumer data to marketers using detailed behavioral monitoring. Marketers may segment clients based on various behaviors on their website, such as sign up, cart abandonment, and sales. Customer journey As your website increases in popularity, you will draw customers with varying intentions. There will be consumers who spend a lot of money on a monthly basis, as well as others that leave your website immediately after signing up. Customers at various levels of their study of your website and items will require a different sort of nudge. In Conclusion, By targeting your eCommerce marketing to specific customer segments, you can more effectively use your limited resources to create a higher ROI. If you’re not sure where to start or how to move forward, contact us. We’d be happy to chat with you about how we can help with eCommerce customer segmentation and develop targeted messaging that resonates.

Forecast Your eCommerce Sales for Better Planning

Are you ready to take your eCommerce business to the next level? Knowing what the future holds is essential in any business, especially when it comes to planning for sales. To ensure success and stay ahead of the competition, accurately forecasting future eCommerce sales will give you a major advantage.  By utilizing specific techniques and strategies that can help predict upcoming trends, your online store is sure to grow! In this blog post, we’ll discuss how eCommerce sales forecasting can help you be smarter about growth strategies and compete more effectively in today’s market. What is eCommerce sales forecasting? A sales forecast is an evaluation or prediction of future cash flow management. Simply expressed, it is the ability to forecast when money will enter and exit an organization in order to reduce risk, recognize commercial possibilities, and foresee problems. Sales forecasting is a business management topic that is often overlooked by eCommerce organizations, although it may provide competitive advantages when implemented correctly. When is the right time to make a sales forecast? You must establish an annual target as well as a sales estimate. Your sales projection, on the other hand, must be broken down quarterly. Certain industries, such as caterers and hotels, require a daily forecast. This may be used to your online business. Your eCommerce sales forecasting should not be based on emotions, but rather on historical facts, critical KPIs, and forecasts of industry trends. Sales forecasting methods for eCommerce Depending on how long you’ve been running your online store and the various sources of your visitors, the three most frequent forecasting approaches are: Sales history of competitors Assume you have recently established your eCommerce firm and have no sales history. The greatest option is to evaluate how well your rivals are performing. You may obtain invoice data from your rivals and evaluate their invoicing information as well as their market share. You’ll have enough information to forecast how your firm will perform in the first year. Your own sales history Taking your sales history into account is a traditional approach of eCommerce sales forecasting. You’ll have important data to work with if your eCommerce firm has been up and operating for a few months or years.  To forecast future sales, two elements must be considered: seasonality and growth %. By researching your historical sales history and understanding seasonality, you may estimate your revenue for the coming year. Statistical data from the channels Statistics from multiple sales channels are available, and you may utilize the data to generate your sales estimate. For example, you may utilize email marketing sales and open rates, the number of individuals who buy from your online store via Facebook Ads or Google Ads, the volume of sales from affiliates, and so on. In Conclusion, Proper eCommerce sales forecasting is critical for businesses of all sizes. It allows you to track your progress, plan for the future, and make necessary adjustments along the way. If you need help getting started, our team at Atom can assist you. We have a wealth of experience in helping businesses forecast their sales and we’d be happy to put that knowledge to work for you. Contact us today to get started.

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