GROWING IMPORTANCE OF HUBSPOT DATA HYGIENE IN 2023 (Business Opportunities - Marketing & Sales)
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Item ID 2915474 in Category: Business Opportunities - Marketing & Sales
GROWING IMPORTANCE OF HUBSPOT DATA HYGIENE IN 2023 | |
As we rely more and more on data to drive our marketing, sales, and customer success initiatives, bad data remains a bigger problem. According to Gartner, ‘dirty’ or poor-quality data costs organizations an average of $12.9 million dollars every year. And it doesn’t end here. There is a high possibility that your HubSpot marketing and operations hub might contain a pile of dirty data, preventing you from generating revenue. Even moderately sized companies that collect and use customer data will likely encounter poor data. Poor HubSpot data quality can not only cost you potential leads but can also lower overall productivity. In addition, it drains organizational resources, disrupts internal and external communication, and wastes marketing dollars. ‘The effects of dirty data are devastating’ – this is a sobering understatement. Since it’s essential, it is crucial to understand the importance of CRM data hygiene and how you can make the best out of it. What is ‘Dirty’ Data? Dirty data is any form of data that contains errors, discrepancies, and duplicate entries. Common HubSpot data quality issues arise from manual entry, legacy systems, importing or exporting, and user-created files. Dirty data disadvantages your organization by making it harder to analyze and conclude when creating reports. According to a study, 67% of businesses use CRM to target customers, and 33% have more than 100,000 customer records in their databases. Unfortunately, 94% think their customer database is inaccurate, with the customer database doubling in size every two years. Without accurate information, the final output can be misleading and negatively affect the business decisions taken based on it. With as much as $3 trillion worth of data in a CRM system becoming obsolete every year, it is essential to maintain CRM data hygiene to avoid these risks and create valuable results from data analysis. This cleaning process includes removing errors and duplications, flagging for anomalies, normalizing information, and running validation checks to ensure accuracy. Through this process, users can gain access to reliable information, leading to more effective business decisions in the long run. Types of Dirty CRM Databases That Can Hurt Your Marketing Efforts Duplicate Data Duplicacy of data occurs when two or more records within your HubSpot CRM are identical or nearly identical. Duplicate data can make it difficult to track contact information and lead to other issues, such as representational inaccuracies in reporting and analytics. Cleaning dirty HubSpot data is part of the overall practice of data hygiene and should be undertaken periodically to ensure accurate contact and customer management. Regularly cleaning, validation, and consolidation, HubSpot data by identifying and removing duplicates ensure your marketing efforts target the right customers. Insecure Data Insecure data is another type of dirty data that can hurt your business. These data points typically include bad formatting, inaccurate entries, and duplicate information due to poor hygiene. Luckily, there are ways you can keep your CRM up to date, including scheduling regular HubSpot data cleansing sessions. Through these cleanups, dirty data and vulnerable records can be removed or standardized so that the entire team can access the correct information for reliable decision-making. Take control of your company’s security and maintain secure data today by ensuring proper CRM data hygiene. Incomplete Data An incomplete set of data is another dirty data type within a HubSpot CRM Hub that can damage the accuracy of any data analysis process. The presence of incomplete data within HubSpot CRM requires special attention with regard to performing CRM hygiene to improve business insights. With robust cleaning protocols, such as de-duplication and list verification, dirty data can be transformed into clean and complete datasets so businesses can use their valuable resources effectively. Inaccurate Data Inaccurate data is one that has not been verified, cleaned, and normalized to industry standards. It can hamper your marketing campaigns and business decisions. Without taking the necessary steps to ensure the highest data quality, inaccurate results may be revealed over time, leading to mistrust in the data itself. continues.... https://thesmarketers.com/blogs/growing-importance-of-hubspot-data/ | |
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| Target State: All States Target City : All Cities Last Update : 09 June 2024 11:23 AM Number of Views: 94 | Item Owner : Enoch Pakanati Contact Email: Contact Phone: +91 7396010630 |
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2024-11-22 (0.392 sec)