8 Simple Data Collection Techniques for Businesses

Article by Evelyn Thomas | May 05, 2020

Data is one of the most valuable assets that businesses have. The more information you have about your customers, the better you can understand their interests, needs, and demands. This upgraded understanding helps you to meet and exceed your customers’ expectations and create messaging and products that appeal to them. In this article, we will briefly introduce eight simple data collection techniques that are applicable to a variety of different business models. 

 

How do you collect customer data? 

One of the most pivotal tools for collecting, as well as organizing and analyzing data, is a data management platform, or DMP. There are different data-gathering techniques you can use with the assistance of your DMP. First, let’s go over two main types of data that most businesses collect.

 

Quantitative vs. Qualitative Data

Quantitative Data

Qualitative Data

Quantitative data is tangible and countable. It comes in numbers, quantities, and qualities. It portrays things in concrete and effectively quantifiable terms. A good example is customer data. For example, you can track the names of customers who purchased a given item, the rating a client gave a customer service interaction, or the amount of time a visitor spent on your website.

Qualitative data is engaging, as opposed to numeric. It is less concrete and less effectively quantifiable than quantitative data. This data may contain public sentiments and opinions. Some good examples are online reviews,  responses to a survey given to clients, or the chat logs between a client and a customer care representative.

Since quantitative data is numeric and quantifiable, it loans itself well to analytics. At the point when you break down quantitative data, you may reveal insights that can assist you with better comprehending your audience.

Qualitative data helps explain the “why” behind the quantitative data. Hence, it helps supplement quantitative data, which will shape the establishment of your data strategy.

Since qualitative data is highly dependent on the nature of your business, this article will concentrate mainly on gathering techniques for quantitative data.

 

8 Simple Quantitative
Data Collection Techniques

MNIST Datasets for Machine Learning

There are different strategies for collecting quantitative data. Some involve simply asking customers for information. Others include monitoring your interactions with customers or observing customer behavior. Here are probably the most well-known data collection techniques used today.

1. Surveys

Surveys are one manner by which you can legitimately approach customers for information. You can utilize them to gather either quantitative data, qualitative data, or both. A survey should include questions respondents can reply in only a couple of words. You can lead surveys online, over email, via telephone, or face to face. Perhaps the least demanding technique is to do an online survey on your website or with a third-party website. You could also share a link to your survey on social media, over email and in pop-ups on your site.

2. Quizzes and Questionnaires

Quizzes can be helpful to gather information about customer behavior, personal preferences, and motivations. Online quizzes are not just an approach to connect with your audience or create leads – they are additionally an important wellspring of data about your customers. You can collect data using quizzes, and also catch people’s attention, convert leads to sales, and draw in new customers.

3. Online Tracking

Your website or mobile app are phenomenal tools for collecting client data. When users visit your website, they create a myriad of data points, such as time spent on certain pages. Accessing this data permits you to perceive what number of individuals visited your site, to what extent they were on it, what they engaged with, and much more. Your website host may gather this kind of information for you and you can also utilize third-party analytics programs, such as Google analytics.

4. Transactional Data Tracking

Retail Data collection Techniques

Regardless of whether you sell products in-store, online, or both, your transactional data can give you significant insights about your customers and your business. This data may originate from your online store or your in-store record keeping framework. This information can give you insights about what number of items you sell, how frequently certain individuals buy from you, and even what days and times are most profitable for your business.

5. Online Marketing Analytics

You can also gather essential data through your marketing efforts, regardless of whether you are running marketing campaigns on search engines, your website, or even via email. You can even import information from offline marketing efforts that you run. Through your marketing campaigns, you can collect data about who clicked on your advertisements, what time of day they were clicked, what device they were using, and much more.

6. Social Media Monitoring

Content Summarization

Social media is another amazing wellspring of client data. You can glance through your social media accounts to see who follows you and what attributes they share. Using this data, you can increase your understanding of who your target market is. You can also use these tools to monitor brand mentions and your online reputation. Various social media tools will give you analytics about how your posts perform. Third-party tools can offer you much more insights from social media data.

7. Collecting Subscription and Registration Data

Offering customers something in return for providing information about themselves can assist you with gathering relevant client data. You can do this by adding a small questionnaire for customers or site visitors who sign up for your emails, newsletters, rewards program, or other programs you are running. 

One advantage of this strategy is that the leads you get from it have a higher chance of conversion, since these people have already exhibited an interest in your products or services. While creating the structures used to gather this information, it’s essential to balance the amount of data you request. Asking for an excess amount datacan dishearten individuals from participating. At the same time,not asking for enough information can leave you with incomplete data.

8. In-Store Traffic Monitoring

If you have a physical store, you can collect data from monitoring your in-store activity. The clearest approach to do this is with a traffic counter at the entrance to keep track of the number of individuals that come into your store each day. 

This data can help uncover what your busiest days and hours are and help you understand what is drawing customers to your store during those periods. 


These were just eight simple data collection techniques for businesses to collect data on their customers or clients. Hopefully, you can use these tactics to better understand your target market and help drive your business strategy. 

Need help collecting data for your business or machine learning projects? Check out our AI Training Data Collection page for more information. 

Interested? Get high-quality data now
The Author
Evelyn Thomas

Evelyn Thomas is a marketer, writer and dog lover living off-grid with her husky named Shade. She loves reading and implementing new methods of improving product usability while giving a new face to the brands she works with. You can follow Evelyn on Twitter and LinkedIn.

Welcome!

Sign up to our newsletter for fresh developments from the world of training data. Lionbridge brings you interviews with industry experts, dataset collections and more.