7 Steps to Unlock Your Amazon Customer Data in 2023

7 Steps to Unlock Your Amazon Customer Data in 2023

Customer data ·

Selling products through Amazon has proven to be an effective strategy for brands to reach a wider customer base, increase their revenue, and boost customer loyalty.

Amazon's massive user base and global reach provide brands with a vast marketplace to showcase their products and services. In addition, Amazon's logistics network and fulfillment centers provide brands with access to efficient and cost-effective shipping and handling services.

However, one of the major drawbacks of selling products through Amazon is the lack of transparency in customer data.

While Amazon seller analytics provide brands with some basic metrics, such as sales figures and product reviews, it is often challenging to obtain more detailed information on customer behavior and preferences. Brands are not able to access information such as customer demographics, purchase history, or even email addresses, which are critical for building a data-driven strategy.

Without access to this data, brands are unable to make informed decisions about their business strategy. They cannot conduct effective market research to identify new customer segments or develop targeted marketing campaigns. Additionally, brands are limited in their ability to develop new products or services that meet the needs and preferences of their customers.

To overcome this challenge, brands can explore alternative analytics tools that provide greater transparency in customer data. For example, brands can leverage social media platforms like Facebook and Instagram to gain insights into customer behavior and preferences.

Brands can also consider investing in their e-commerce platform to provide a more personalized and data-centric shopping experience. Or even better, they can use analytics tools like Layerise which can help you connect with your customers and collect data about them without the need to have your own e-commerce platform or social media profiles.

Are you a small medium brand owner selling mainly through retailers such as Amazon? You landed in the right article. Here you will find all the information you need to know to collect your customer data that Amazon does not give access to.

3 reasons why brands should collect data about their amazon customers

Amazon has become a go-to destination for shoppers worldwide. With its massive customer base and highly sophisticated data collection system, it's no wonder why brands are flocking to the platform in droves. But with so much competition out there, how can businesses stand out from the crowd? The answer lies in collecting data on their Amazon customers.

Gathering information about your customers is crucial to building a successful brand on Amazon – and ultimately increasing sales and gross revenue too. Get ready to learn how you can take advantage of one of the most powerful e-commerce platforms around! Here are 3 reasons why you should collect data on your amazon customers:

1. Improve the offering

As an Amazon seller, you have a unique opportunity to collect data on your customers that can be used to improve your offering. By tracking customer preferences for product listings, you can make changes to your product mix, pricing, and marketing that will appeal to your target audience and increase your sales.

By collecting data on your Amazon customers, you can gain valuable insights that will help you improve your business. By making changes based on customer feedback, you can create a more appealing offering that will lead to increase sales.

2. Personalize their experience

Amazon is a goldmine of customer data, and brands should be taking advantage of that. By collecting data on their Amazon customers, they can better personalize their experience and offer them tailored deals and recommendations. This will not only increase customer satisfaction but also loyalty and repeat business.

From onboarding to customer support to product recommendations, the more data you have about your customers, the better you can serve them. The key to a superior customer experience is tailoring it to your customers' needs.

3. Send tailored marketing campaign

When it comes to marketing to Amazon customers, one size does not fit all. The most successful brands tailor their marketing campaigns to the specific needs and interests of their Amazon audience.

If you're not already collecting data on your Amazon customers, now is the time to start. Doing so will allow you to create more targeted and effective marketing campaigns, ultimately leading to better business results.

Cracking the Amazon customer data code with Layerise

Amazon brand analytics provides brands with a range of data on their products and customers, including basic metrics such as sales figures and product reviews.

Brands can access information such as the number of units sold, gross revenue generated, and the average selling price for each product. Amazon also provides information on customer feedback, including product ratings and reviews, which can help brands improve their products and customer service.

However, Amazon data is generally limited to basic information, and brands do not have access to more detailed customer data such as demographics, purchase history, or customer contact information.

With the limited data that Amazon provides brands, it is simply not possible to understand who the customers are and gather insights to inform strategic decisions regarding product development, marketing activities and support strategies.

Layerise provides analytics tools to companies that rely on retailers to sell their products and cannot obtain in-depth insights into their customers. In addition to collecting data, Layerise also assists companies in effectively utilizing and leveraging customer data.

Below there are several ways in which Layerise helps brands optimize the advantages of customer data:

  • Boast customer lifetime value by personalizing the shopping experience for returning customers;

  • Maximize upselling and cross-selling opportunities;

  • Increase brand loyalty and customer retention rates by leveraging better customer experiences;

  • Give marketers a better understanding of consumer needs;

  • Assist in the research and development process of new product lines;

  • Identify the most effective marketing campaigns and strategies.

  • Unlock your Amazon customer data by using Layerise in 7 simple steps.

If you've made it this far into the article, chances are you're interested in learning how Layerise can help your brand sell better on Amazon. Decoding customer data from Amazon involves these three essential elements:

  • Understanding how various data types can come in handy for your brand;

  • Identify ways in which you can collect these types of data points;

  • Generating statistics that can help better guide your business decisions.

Every brand faces unique challenges when it comes to appealing to Amazon's vast customer base of 300 million shoppers.

The factors that contribute to a successful marketing strategy on Amazon will vary depending on the brand, its industry, and its target audience. However, regardless of these differences, Layerise has proven to be a valuable partner in helping brands to identify and meet their customers' needs on Amazon.

Layerise has worked with brands across a wide range of industries, from fashion and beauty to electronics and home goods. By evaluating each brand's unique set of challenges and opportunities, Layerise is able to develop tailored solutions that help brands connect with their target audience and achieve their business objectives on Amazon.

We've broken down the process into seven simple steps you can take to do the same for your customers using Layerise:

1. Understand your digital data needs and goals

Investing time in identifying the goals you want to achieve with the help of customer data is the first step of the process. These goals will look different for different companies depending on where they are in their journey and their long and short-term business objectives.

Start by identifying which business areas you're looking to improve, what type of customer data would make the most accurate gauges of these data types, and what kind of customer base you're looking to target with the help of these analytics.

For example, a company that provides services might look for customers within a specific geographical location. On the other hand, a B2B office supplies wholesaler can ship anywhere in the world and would look to attract small to mid-sized businesses. The customer data that holds the most potential for both these companies would look drastically different.

If a manufacturer is selling consumer goods on Amazon, they would need to gather and analyze data on various aspects of their customers' behavior and preferences. For example, they would need to know which products are most popular among their customers, what factors drive purchasing decisions, and which marketing strategies are most effective in attracting and retaining customers.

Moreover, the manufacturer may want to segment their customer base based on demographics, behavior, or purchase history to better understand their target audience and develop personalized marketing campaigns.

By analyzing this data, the manufacturer can make informed decisions about their product offerings, marketing strategies, and pricing, ultimately leading to increased sales and customer satisfaction.

2. Use product registration to collect data and enhance customer experience

While this step might not be directly relevant to Amazon customer data, increasing your product's registration rates will go a long way toward improving the accuracy of your data statistics.

The registration event is one of the most data-rich customer touchpoints for any brand. Customers are excited about their latest purchases and are more open to giving out the information brands need to upsell and cross-sell in the future without having to rely on third-party data services.

The registration event is the process by which customers register their newly purchased product, which used to refer only to premium appliances, but now includes products from any category. This event marks the beginning of the after-sales period, during which customers are most engaged, excited, and receptive to learning more about their new purchase.

Despite the importance of customer and product registration, many brands have historically overlooked this touch-point due to a lack of channel availability.

Layerise, however, has demonstrated that this moment is a prime opportunity for enhancing the product experience through customer and product onboarding.

The registration event unlocks a commercial opportunity for upselling and cross-selling services, protection plans, and accessories. Taking advantage of this moment can help brands maximize customer engagement and satisfaction while also boosting revenue.

Layerise makes product registration seamless for your brand and customers and collects relevant data to increase sales opportunities and facilitate customer self-service.

3. Tailor the data collection forms to gather the information you need

At the time of product registration, it is crucial for brands to collect relevant data from their customers. By asking customers to fill out a form, brands can gather important information that can be used to personalize the customer experience and improve overall satisfaction.

You can use use Layerise to properly collect and correct different types of data about your customers, you can create custom forms that collect specific information about your customers.

Layerise allows you to easily build forms tailored to your business needs and customer data requirements, ensuring that you collect only the information that is relevant to your business.

With Layerise, you can collect a wide range of customer data, including contact information, demographic data, purchase history, and product preferences. The platform also allows you to capture data from multiple channels, including email, social media, and web forms.

To ensure data consistency, Layerise provides features like data validation, which checks for data accuracy and completeness, and data correction, which allows you to update incorrect data quickly and easily.

By using Layerise's data management features, you can ensure that your customer data is accurate and up-to-date, which can help you make better business decisions and improve customer engagement.

4. Improve your customer segmentation with the data collected

Based on the data you gather from customer forms, you can start segmenting your customers into different groups. Customer segmentation involves dividing customers into groups based on specific characteristics or behaviors, which can help businesses target their marketing efforts more effectively.

For example, you can segment customers based on their purchasing history, preferences, and demographics. This information can be used to create targeted marketing campaigns that resonate with each specific group.

Segmentation also helps businesses identify their most valuable customers, allowing them to prioritize their efforts on the customers who have the highest potential for revenue generation and loyalty. With this knowledge, businesses can create customized experiences and offers for these customers, which can help to build stronger relationships and increase customer lifetime value.

In addition, segmentation can help businesses identify opportunities for upselling and cross-selling. By understanding the needs and preferences of each customer segment, businesses can offer products and services that are most relevant to their interests and increase their overall spending.

Layerise helps you create more accurate customer personas and refining your ideal customer profile (ICP). That's done based on these factors:

  • Demographics

  • Psychographic

  • Geographic

  • Behavioral factors such as age, occupation, income etc.

These personas increase the efficiency of customer segmentation which is a crucial element in the success of different marketing efforts. Data insights show your team who to target and how they can make marketing components such as SMS campaigns and email outreach more impactful and increase customer engagement.

5. Personalize the experience based on customer segmentation

Based on the data gathered during the onboarding process, brands can personalize the customer experience. Layerise allows brands to create customized forms that capture customer data, which can then be used to create personalized experiences for customers.

By segmenting customers based on the data collected during the product registration event, brands can tailor their marketing efforts to the specific needs and preferences of each customer group. This can lead to more relevant and engaging customer experiences, which can increase customer satisfaction and loyalty.

Furthermore, by analyzing all the data collected from customer forms, Layerise can make intelligent recommendations on products that may be of interest to each individual customer. This can help brands increase customer engagement and drive revenue growth.

To improve customer experience, Layerise also offers self-service capabilities that allow customers to access information about their products and troubleshoot issues on their own.

By leveraging all the data already collected during the product registration event, Layerise can provide personalized self-service experiences that are tailored to each customer's needs and preferences. This can help brands reduce customer support costs while improving customer satisfaction.

6. Develop procedures for analyzing feedback

Information from reviews left under each listing on Amazon can be used to gain insight into how customers perceive your product and the product's functionality and get ideas on how you can improve your offerings. Common complaints can identify potential defects in product design or packaging.

Sometimes, the issue isn't in the merchandise itself but how it's been described, which might lead customers to expect something different. If so, Amazon's customer reviews can help your marketing team improve product description and photography.

Layerise offers brands the ability to collect product reviews from existing customers and track their activity on the knowledge base. This is a valuable tool for assessing the effectiveness of the onboarding process, product setup, and maintenance activities in terms of their ease of use and understandability.

By collecting product reviews from existing customers, brands can gain insights into the customer experience and identify areas for improvement. Reviews can provide valuable feedback on the product's functionality, usability, and overall performance, which can help brands make informed decisions about product development and marketing.

Customer reviews are an excellent data source for generating a 360-degree view of your target customer. Using Amazon's customer reviews to create customer personas is a valuable guide for brands looking to improve their product lines and services.

Also, by tracking customer activity on the knowledge base, brands can evaluate the effectiveness of their self-service and support materials. This information can help brands identify areas where customers are struggling or encountering difficulties, which can guide improvements to the knowledge base and other support resources.

Developing processes that help companies analyze customer feedback is essential for any brand selling on Amazon. But your competitor is probably already doing that. Combining this step with Layerise's own analytics tool can make it even more impactful. In addition, integrating this data into business practices can help your brand make the most of customer reviews and feedback.

7. Reassess your goals to align them with data-driven statistics

Change has always been a constant in business, but now, thanks to AI and other technological innovations, change is much faster than before. To maintain your brand’s profitability, its business goals must align with and be backed up by the latest data-driven information.

The final step to truly unlock the potential of customer data for your brand is to use all the statistics gathered through these previous steps to re-examine your company goals, business practices, and marketing efforts.

When brands start proactively moving towards becoming data-centric, they can identify patterns in customer sentiments and industry dynamics that they might have been oblivious to previously. Here are some critical areas brands can upgrade using Layerise customer data:

  • Customer service

  • Personalizing the customer's experience

  • Product design

  • Marketing goals

  • Buying trajectories

  • Customer engagement

Processing customer data is only beneficial long-term when viewed as an iterative tool, not a one-time process. Layerise enables brands to re-align their business strategies in light of data according to what works for their specific business model.

The platform also offers invaluable tracking tools to help brands routinely monitor how these new changes impact their revenue and customer relationships. By measuring key metrics like customer satisfaction, customer retention rates, best selling items, and common complaints, you get a clearer picture of your future business goals and how to achieve them.

Decisions such as prioritizing the listing of specific products over others, the products you choose to develop and invest in, and how you market yourself should be made in light of statistics generated through data relevant to your brand. Over time, it becomes second nature for brands to keep data at the center of all their business decisions and customer handling.

Let Layerise do the Amazon customer data heavy lifting for your brand

Amazon provides limited metrics such as sales figures and reviews, but obtaining more detailed information on customer behavior and preferences can be challenging for brands.

Access to critical data such as customer demographics, purchase history, and email addresses is restricted, hindering the development of a data-driven strategy. Layerise is the perfect tool to use to unlock the amazon store and customer data points.

Layerise is a leading software-as-a-service provider committed to helping brands just like yours sell better online and in-store. It's a complete data-forward solution that enables you to understand and service your consumer simultaneously.

Our platform is designed with today's brands and consumers in mind and can be easily integrated into your current business set-up. It boasts features such as a consumer and mobile-first approach and easy integration of self-service tools for your consumers.

With the help of customer data, Layerise can help your brand improve its customer engagement strategies, personalize marketing campaigns, and increase customer retention.

Furthermore, combining insights from Amazon's reviews with your registration and customer-service data can give you a more holistic picture of how your brand is doing in e-commerce.

Interested to learn how Layerise can enable you to continue delivering exceptional products and services to your client base? Why not book a free demo for your brand?