Data management is crucial for businesses of all types to succeed and create the ideal user and customer experience. To effectively manage data, it's important to understand the different types of data you can collect and analyze. Two main types of data include implicit and explicit data, which can help you better understand your audiences and how they interact with your business.
Technology is making data management easier than ever, with AI-driven data management and integration automation likely reducing IT experts' needs by 20% in 2023. While data management may become increasingly efficient, you must collect and comprehend the right data properly. Otherwise, you won't be able to effectively use this data to optimize your company's performance.
Here we'll dive into explicit and implicit data, including their differences and the advantages they offer for businesses.
Explicit data is the type of data that establishes a clear meaning without any need to analyze it further. Specifically, it's information that people voluntarily submit such as personal contact details, answers to surveys, and other details you can take at face value.
However, using this information, you can glean certain implicit details that help you understand people's behavior and more. You can ultimately use explicit data to gain a deeper understanding of your users and how to reach them.
Generally, explicit data is the raw information that you receive as a business. There is a deeper meaning that you can draw from this data, as it may have specific implications attached to it.
An example of explicit data could be the information that people submit on contact forms on a particular landing page. This includes the person's name, occupation, and available times to reach them. Based on this information, the implicit data would indicate what type of person interacts with this landing page and when you're most likely to be able to reach them. For instance, busy professionals might be the implied main demographic for ads leading to a particular landing page, and the best time to contact these leads would be on a lunch break or after work hours.
Other forms of explicit data could include everything from star ratings and reviews detailing experiences to upvotes or downvotes of a post. These clearly indicate how an audience feels.
Explicit data could also be information about your business that your employees gather, document, and share. Internal teams can then use this data to make any necessary operational changes and optimize performance.
Explicit data is crucial to have for any business. It provides you with specific, clear data that you can use to drive action. You can also easily share this data across your organization via tools such as manuals and databases.
There are several benefits of collecting explicit data for your business, including:
Collecting and sharing explicit data equips your employees with the information they need to communicate with customers and each other more effectively. Everyone on the same team has access to the same clear data and can be on the same page with it, which will facilitate better internal communication.
Meanwhile, customer support teams can use this data to communicate better with customers, seeing as they have access to the data they need without turning to others within the organization. Customers will relay what their specific issue is, which your customer support staff can use to determine precisely what to do to satisfy customers. If a customer completes a contact form, for instance, they can discuss the specific issues they're experiencing in-depth, which will clear up any potential confusion your staff might otherwise have.
Also, having recorded explicit data will help minimize the risk of internal mistakes among employees if they have access to information about procedures and policies. This will increase your business's efficiency while also helping boost your reputation when employees can take the proper steps to handle customer requests.
Explicit data can also help businesses put together knowledge bases for their teams. These databases could include details about the company, products, and services and ensure that everyone within the organization has access to the same information. This centralized platform can then make it easier to train new employees, and you can make updates to it over time as you collect more explicit data and your business evolves.
By documenting explicit data, you'll be able to prevent any type of loss from occurring. Otherwise, someone who leaves the company with critical explicit data may hinder your company's ability to use this data. Securing and sharing this data across your organization would create redundancy and avert potentially devastating loss.
Using helpful explicit data can give you some insights you need to continually improve upon and streamline your product or service offerings. Whether you learn from the analytical data you collect through various tools or the data that customers provide you via surveys or other touchpoints, you'll be able to grow your business and find new opportunities to expand.
With the help of explicit data, you'll have the chance to learn about what's working and what isn't, enabling you to take the correct course of action to improve internal operations and external communications.
Unlike explicit data, people don't willingly provide implicit data and it isn't as raw. You can infer implicit data based on the explicit data you already have.
You can collect this type of data by interpreting explicit data or receiving it through various data sources. Depending on what you want to achieve with your implicit data, you can choose specific channels to collect different types of data.
Implicit data may not always be clear, but you can gain it by interpreting the explicit data you collect if you don't have a means of getting it directly.
For example, a social media user may post about hanging out with a group of friends at a popular local hangout. Specifically, this post might read, "Last night I enjoyed finally getting together with Max and Tom at the old cafe."
Based on this seemingly simple post, you can infer different elements that enrich it and provide some context. In this particular example, we can first determine that Max and Tom are good friends of the poster. Additionally, we can assume that the "old cafe" is a popular hangout that they used to frequent, to the point where the user doesn't even need to mention its name. This post also establishes that a cafe is the ideal setting for these friends, and it also makes clear that it had been a long time since these friends had gotten together.
You can also look at people's website activity for another source of implicit data. For instance, a user might appear to spend a lot of time on computer technology websites and educational sites for programmers. These behaviors could indicate that the user is a programmer or training to become one.
There's no shortage of implicit data that you can collect and use.
In short, the main difference between implicit and explicit data is how you get the data you use. While explicit data is information that people voluntarily provide, implicit data is that which you must infer based on other data.
You can collect explicit data through contact forms, reviews, surveys, polls, and signup forms, among other sources. Meanwhile, you'll need to make use of multiple data sources to collect implicit data in addition to explicit data.
When collecting explicit data, you can use some of the following sources:
If you want to collect implicit data that you can use in addition to explicit data, you can use methods such as:
On your website, you can gather a wide range of information about your users and learn how they interact with your brand. For example, you could find out whether a specific ad or mention on social media brought people to your website. This could help determine which platforms and strategies get the most traffic and conversions. In addition, you can see how long people stay on certain pages, along with certain drop-off points that keep people from moving along their journey. Based on these drop-offs, you can figure out what's causing people to avoid converting.
You can also gather and analyze transactional data when customers make purchases or engage in another type of transaction. This data could include purchases, payments, and returns as well as other more in-depth data. In addition to superficial transactional data, you might be able to see what terms people searched in search engines or on your website to lead them to your products, for instance. You could also determine whether people explored your website or app more before returning to the page and completing a purchase. You can use this data to determine what products or other offerings interest people the most. Also, you can track order history and make relevant product recommendations based on it.
You can actually get a mix of explicit and implicit data from social media. The explicit data may include comments and reactions that you receive on your posts, which can indicate what people think. Meanwhile, implicit data may include inferences from private shares that your posts get, the number of views your posts get, and other analytical data covering engagement. Using these insights, you can decide on the right platforms to use and figure out ways to optimize your campaigns.
Different marketing analytics tools can also help you see how your marketing efforts are doing. You might see who clicks through your ads, the number of impressions, the time of day when people click on your ads most often, and the device people use to view and click through ads. Based on your goals, you can determine which metrics to track and gauge which channels and strategies are performing best.
Both implicit and explicit data are crucial for any business. If you want to enable your brand's long-term growth and get the insight you need for continuous improvement, you must collect both types of data.
If you're looking for a way to engage users and collect valuable data, you can use Storyly to collect a variety of explicit data on apps and websites. For example, you can use surveys, polls, and reviews that encourage users to voluntarily share all kinds of information. At the same time, Storyly can complement your app or website experience with engaging visuals and messages. With the help of tools like Storyly, you can get the most from your data to fuel your business's success.