Data can be misleading for several reasons, but the most common is when data is taken at face value. Many factors may affect how your company's numbers are presented–market conditions, industry trends, management changes, and even new coding or software updates–that can lead to inaccurate data. The result is that you can feel like you're running in circles without making any progress. In this article, you'll discover 3 CRMs where data may be misleading and how to find the truth behind your numbers.
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What is CRM data?
CRM data is customer data that is collected and managed by a company’s CRM (customer relationship management) system. This data can include everything from customer contact information to purchase history to details about interactions with the company.
Why is CRM Data Misleading?
CRM data is often misleading because it doesn't take into account the customer's entire journey. It's easy to get caught up in the numbers and forget that behind every number is a person. CRM data can give you a false sense of security that you're on the right track when, in reality, you might be missing key opportunities to engage with your customers.
How to Minimize Misleading Data
It is no secret that data can be misleading. It is one of the main reasons why CRM data is often misleading. The reason for this is that data can be easily manipulated to show what a company wants it to show.
This is why it is so important to take the time to understand how data can be manipulated and how to minimize the chances of this happening.
Conclusion
CRM data is often misleading because it doesn't take into account the customer's entire journey. It's important to remember that a customer's journey is not linear, so relying on CRM data alone can give you a false sense of security. By understanding the customer's entire journey, you can get a more accurate picture of their needs and how best to serve them.