Collecting customer data is the cornerstone of your marketing and customer relationship development strategy. However, there’s a problem- this customer data can become invalid or outdated over time. And you will encounter this problem over and over again. In fact, the more CRM data your business collects and utilizes, the worse it gets.
Inaccurate input, outdated contact information, or unsubscribed users can clutter your CRM data, which can have severe consequences, such as failed marketing efforts, missed opportunities, reduced sales team productivity, or compromised decision-making. Don’t worry! You can avoid these problems and maintain CRM data integrity with regular CRM Data cleansing.
In this article, we have rounded up the best practices and pro tips to get started with CRM data cleansing.
Maintaining hygienic CRM data can help you unleash its full potential to improve customer interactions. Conversely, not keeping your CRM data clean and updated can cause a snowball effect, leading to missed opportunities and a ruined business reputation.
So, here are some CRM Data cleansing tips following which you can clean your CRM data and maintain its hygiene:
The more decluttered your CRM data is, the easier it becomes to utilize it. Establish a clear understanding of what customer data your business needs and delete the data that isn’t valuable for your company.
Whether it’s old phone numbers or email addresses, get rid of everything unwanted. Moreover, there might be some customers with no contact details in your database. Such contacts are of no use for your business. Look for these contacts and either remove them or update their information.
In addition, remove the leads from your CRM system that aren’t responsive and clog the system instead. Doing this can help sales representatives focus ideally on the leads that have the potential to convert into existing customers.
Best Practices and Tips to Get Started with CRM Data Cleaning
-
Optimize Data Collection
-
Fix Formatting Issues and Standardize Formats
-
Get Rid of Unnecessary Data
-
Merge Duplicate Records
-
Create and Consolidate the Right Fields
-
Create and Implement a CRM Data Maintenance Schedule
-
Run Reports