In a 3 part series we will discuss with you how BAD DATA can truly affect the growth of your business and why CRM Data Entry should be entrusted either to your full self or to a qualified expert with CRMs.
We all know that at the heart of every effective CRM system is clean data. But what are the many kinds of bad data?
1. Fraudulent data
Fraudulent data is damaging data that has been intentionally entered by humans or bots. One way that fraudulent data occurs when your company has sales initiatives that require users to sign up using a bad form. Many users concerned about data privacy will just put fake details to access exclusive promotions or benefits without giving up their personal information. While it’s not as common, competitors can also use the tactic of using fraudulent data to inhibit the effectiveness of your CRM system through wasting resources.
2. Invalid Data
Invalid data is when the information that was acquired is correct, but either has bad formatting or keyed into the wrong fields. CRM processes are not entirely seamless because they still require human intervention for accuracy. As the world becomes more globalized, sales representatives struggle with spelling errors on the names of leads. During the data entry process, they may input the wrong emails or numbers by accident. Unchecked emails that are not valid or invalid before integrating into the system are at high risk of bouncing back.
3. Duplicate Data
Duplicate data is a common issue for CRM systems with campaigns that benefit first-time customers is that people create multiple accounts to get the same benefits, more than once. There are also cases of customers logging under different names, addresses, or emails in unintegrated software platforms. While duplicate data may seem harmless from the customer side, when done on a large scale will make your company’s sales funnel inaccurate. Companies will lose money on acquisition campaigns designed at a loss in hopes of nurturing a lead later on.
4. Obsolete Data
While it may have been correct and useful information at some point, data can become obsolete. While customers can truthfully provide data, their contents are not valid forever. Obsoleteness data can be due to things like name and address changes, the point of contact changing jobs, or companies closing. Customers have ever-changing lives. If your data doesn’t change with your customers, your offers no longer become relevant. Should your messaging still reach your contacts, they will either ignore or you or mark you as spam.
5. Incomplete Data
Incomplete data happens when sales reps lack relevant information necessary to engage with the customer further. Some companies also have sign-up forms that do not verify if they included necessary information before being added to the CRM system. Having incomplete data often requires manual intervention to fix.
Improving the Data Entry Process
Completely accurate and useful data require not just a seamless data entry process; they also need a good data cleaning and management process. Clean data is updated regularly, timely, and accurately. One of the best ways to make sure they’re always up to standard is working with companies that have crm data entry experts. Hey DAN combines the latest advancement in AI with human intuition and has been delivering measurable results in over 15 years.