Data is the power force behind every successful company and business strategy, quality data points to the best leads and guides to top sales. Without enriched data, teams need to spend more time researching and analyzing data rather than using it to score successful leads. The ideal solution to this problem is data enrichment, which is an approach to improve lead quality and create an applicable database.
Data enrichment is about filling and refining all the gaps in existing company data or company information. Data enrichment is a process that involves combining raw data points and merging them with similar data points, basically filling in the gaps with important details to create a richer profile.
Ultimately you improve the quality of your datasets by adding new data and cleansing inaccurate or outdated entries.
While the types of data enrichment are very wide and can vary, here are the three most common types.
Despite the benefits, many companies have a problem with enriched databases, usually, they are out of date and incomplete. Even a report has shown that 49% of marketers don’t have confidence in their company’s data quality.
Data enrichment is a complicated process and can get overwhelming, but we have included several sectors that are based on data enrichment and will strive with it.
Credit scoring is built on data enrichment. Banks or loading providers that have access to enriched databases are less likely to work with a potential defaulting customer, they have all the information about who they are dealing with.
Similar to loans, businesses can reduce fraud rates and scams. With access to an email address and device IP address, enriched data will create a fuller picture of the user.
Marketing is an area where data enrichment allows for more precise customer segmentation and messages. Marketing teams convey more relevant offers and adverts, this is important since personalized messages have a 46% higher open rate than generic messages.
Also read: What Is Pokemon Sleep? The Pokemon App Will Put You To Sleep!The best example of this would be Amazon or eBay, which suggest products that will probably interest you. By linking such stores to enriched databases, they can intelligently recommend products.
With data enrichment, businesses collect data that’s valuable to them, they can trust it and use the information to benefit their companies. Here are the top 3 benefits of data enrichment:
One data set is not powerful enough to build a deep view of a customer, his history, interest, and reliability. That’s why data enrichment plays a crucial role in making these one-standing data sets more useful by adding missing information to existing data.
Also read: Seamless AI Review: Features, Pricing, & Getting Started (2024 Guide)Sales reps only spend one-third of their time actually selling, while with data enrichment, that time could be much longer. When data is organized, up to date, rich with details, and accurate, these companies have much greater chances and time to spend time selling or creating marketing campaigns. Basically, enriched data will lead to an increase in sales conversions, thus increasing the potential return for customers.
Many companies know that it’s more important to attend to an already existing customer base than to search for new leads. However, keeping a customer base interested requires a lot of work, new ideas, and diverse campaigns. All of these factors include time and money, and to be spending that much of it, a business should be sure that they are going in the right direction. Data enrichment will ensure that a company is directing its money and time into the correct tunnel.
Data enrichment is what intertwines a good customer experience, enhanced business decisions, and loads of new leads. Keeping data up to date ensures that your brand will always develop and grow its customer base, which inevitably increases sales and business potential.
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