5 Best Practices to Collect Customer Data the Right Way


Published: | By IRINA MALTSEVA


With 86% of respondents agreeing that first-party customer data is the most significant aspect of a business's media strategy, the value of data collection for small business owners is undeniable. 

Collecting customer data is a crucial aspect of modern business, as it allows companies to understand their target audience and tailor their products and services to meet their needs.

In this article, we will cover:

  1. Why Customer Data is Essential
  2. Different Ways to Collect Customer Data
  3. 5 Data Collection Best Practices

Follow along to ensure you're collecting high-quality customer data properly, doing it the right way, and watching it drive your growth and success.


What Customer Data Should You Collect?


Before collecting customer data, it's crucial to determine what information is most valuable to your business. It’ll vary depending on your industry and goals, but some common data types to consider include the following:

  • Demographic data, such as age, gender, location, and income level. This data will help you categorize your customers and help create targeted marketing campaigns which speak to different client personas. 
  • Behavioral data, such as website activity, purchasing history, and interactions with your brand. Behavioral data is essential in optimizing conversion rates and moving customers further along your marketing funnel. You need to know the behavior of your target audience to optimize their customer experience with your brand. 
  • Attitudinal data, such as customer preferences, loyalty, and satisfaction. Similar to behavioral data, attitudinal data helps you understand your customer's perception of your company, your offering, and your marketing and sales process. Collecting this data allows for further optimization of your entire brand presence. 

trustmary NPS

Source: Trustmary

To decide what data to collect, consider the insights most beneficial for your business.

For example, customer preference and purchase history data are vital if you own a fashion retail store. It’ll help identify items that are desirable and which ones aren’t. You can also gather details about seasonality or what products to keep in stock.

On the other hand, a SaaS brand would prioritize attitudinal data, as customer satisfaction with the product and repeat purchases or subscriptions would indicate customer sentiment.

They can help identify parts of the product that require improvement. Using high-performing customer service support tools can help collect this data. 

Incorporating this insight into the customer experience underscores the significance of data for businesses that aim to stay competitive in the modern market, especially those that leverage customer service outsourcing.


Why Customer Data Is Essential


Customer data is vital for several reasons.

First and foremost, it allows businesses to understand their target audience better and tailor their products and services to meet their needs, using an information-rich, data-driven approach that eliminates guesswork.

By analyzing customer data, businesses can identify trends and patterns that inform marketing and sales efforts, leading to increased customer satisfaction and loyalty.

This data also helps companies identify customer pain points, which is essential if you offer a product or service. Your offering should make your target audience's life easier, and the best way to do this is to fix an existing problem.

Data helps identify these pain points and craft desirable solutions, such as assisting clients in protecting themselves against identity theft, an increasingly common concern among web users. 

Additionally, customer data can help businesses improve their internal operations and efficiency. By analyzing data on customer behavior, companies can identify bottlenecks in their processes and improve their operations. Finally, customer data can help businesses identify new growth opportunities.

Companies can locate untapped markets by analyzing customer preferences and purchasing patterns and develop new products or services to meet these needs.

With data collection, this insight is almost possible and becomes a chance. Strategic data collection provides a measurable, repeatable approach to expanding a business, and the method you use will depend on the data you want to collect.


Different Ways of Collecting Customer Data


There are many ways to collect customer data. The best method for your business will depend on your specific goals and resources. Here are some standard methods of data collection:

  • Web tracking 

Web tracking involves collecting data on customer behavior on your website or app. And can include information on the pages they visit, how long they spend on each page, and what actions they take (such as filling out a form or making a purchase).

Web tracking tools like Google Analytics allow businesses to track this information and gain insights into customer behavior.

Google analytics audience overview

Source: Google Analytics

  • Surveys

Surveys are a standard method of collecting customer data, enabling businesses to gather specific information from many people.

Surveys can be conducted online or in person, and you can design them to collect a wide range of data, including demographics, attitudes, and behaviors.

By tracking the customer journey, businesses can identify pain points and opportunities for engagement.

  • Registration

Requiring customers to register for an account on your website or app is another way to collect data. Include name, email address, location, and data on the customer's on-site activity.

Registration data is ideal for collecting demographic data and building an email list for email marketing

Aura registration

Source: Aura

  • Social media

Social media platforms like Facebook and Twitter can be a rich source of customer data, as they allow businesses to interact with customers directly.

You can see what your target audience discusses and the terminology they use, which allows you to gather data on their preferences and behaviors.

  • Cart abandonment

Collecting data on customers who abandon their shopping carts can provide valuable insights into why they didn't complete their purchase and what steps businesses can take to improve their sales process.

This attitudinal/behavioral data is essential in optimizing conversion rates and online sales. 

  • Transactional information

Finally, collecting data on customer transactions can provide valuable insights into what products or services customers are most interested in and their purchasing habits and preferences.

It will also allow you to determine your average order value, giving you a deeper understanding of your ROI and helping you make other budgeting decisions.


5 Best Practices for Collecting Customer Data


5 besy practices for collecting customer data

Collecting customer data itself is a science that requires testing and refinement.

If you incorporate these best practices into your customer data-collection strategy, you'll be well on your way to collecting relevant, valuable information without disrupting your customers. 

1. Have multiple data collection methods

Using various data collection methods can help ensure you get a comprehensive view of your customers.

Leveraging a sibling pathopen-source ETL tools, and web scraping are among the methods that can assist you in data collection. These methods allow you to gather real-time insights from multiple sources by extracting relevant data, identifying trends, and analyzing customer behavior across different platforms.

For example, combining web tracking with surveys and registration data can give you a complete picture of your target audience.

These three collection methods will provide you with demographic information on your customer base (registration), their behavior while on your site (behavioral), and attitudinal data from your surveys.

By using multiple data collection methods in this manner, you can better understand your customers and make more informed decisions about your business.

2. Focus on what's meaningful to the customer

It's essential to collect relevant and valuable data from your customers. If customers feel they're providing redundant information, they will likely abandon any process.

For instance, a SaaS business that offers payroll software should ask consumers about their needs, including the number of employees, payment and currency options, and reporting requirements.

Focusing on what matters to your clients can help you better adapt your products and marketing initiatives to meet their demands.

Conversely, if you collect data that is not meaningful to your customers, they may feel their time is being wasted and be less likely to provide accurate responses. This can lead to inaccurate data and ultimately harm your business.

3. Keep it simple

When collecting customer data, it's important to keep things straightforward. Avoid asking too many questions or using complicated language, which can lead to customers leaving your site.

Use concise language, collect only the necessary data, and keep the data collection process as short as possible. You want your data collection process to improve your customer's experience.

Testing your data collection methods before implementing them on a larger scale is also good. This can help you identify any issues or areas for improvement and ensure that your data collection process is as efficient and effective as possible.

4. Clearly define your privacy policy

It's important to clearly define your privacy policy and communicate it to your customers. This will help build trust and ensure your customers feel comfortable sharing their data.

Your privacy policy should outline what data you collect, how you use it, and how you protect it.

Being transparent about your data collection practices is important, as customers are increasingly concerned about their online privacy. By clearly communicating your privacy policy, you can build trust with your customers and show them that you respect their privacy.

5. Encrypt customer data

Encrypting customer data is a crucial best practice that helps protect customers' privacy and security.

Customer data is often sensitive and personal, and it is vital to protect it from unauthorized access or misuse. Encrypting customer data can help prevent hackers or other unauthorized individuals from accessing it.

This is particularly important if you collect data through online forms or websites. As this data is often transmitted over the Internet, it is vulnerable to cyber-attacks, which can result in identity theft or even credit card fraud.

Encrypting emails and customer data can protect customer data from external threats and help prevent internal data breaches.

For example, if you have multiple employees who have access to customer data, encrypting it can help prevent these individuals' unauthorized access or misuse of the data.

Encrypting customer data can ensure its security and protect their privacy. This can help build trust with customers and show them that you take their data protection seriously.


Key Takeaways


Collecting customer data is a crucial aspect of modern business, as it allows companies to understand their target audience and tailor their products and services to meet their needs.

By following best data collection practices, including multiple methods, focusing on what's meaningful to the customer, keeping it simple, clearly defining their privacy policy, and encrypting their data, businesses can ensure they are collecting high-quality data that will help drive growth and success.

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Author Bio

Irina Maltseva 🇺🇦 is a Growth Lead at Aura and a Founder at ONSAAS. For the last seven years, she has been helping SaaS companies to grow their revenue with inbound marketing.

At her previous company, Hunter, Irina helped 3M marketers build business connections that matter. Now, at Aura, Irina is working on her mission to create a safer internet for everyone. To get in touch, follow her on LinkedIn.

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