Tips To Grow Your Crm Data Cleanup

In CRM, data has a large impact when you need to make decisions with your performance. This is why the CRM data cleanup is so important in CRM (you can look here). Yet, there are still some companies who do not prioritize data cleansing activities in CRM.

In fact, they even hire people who are not well-versed at all about CRM data cleansing. CRM data scrubbing is a very specific skill that some CRM professionals lack. So, if you feel that your CRM data isn’t up to par with the competition, then you need CRM data scrubbing to get rid of any dirt left behind in your CRM database.


A CRM data cleanup is a must for any CRM system.  Creating duplicate records, incomplete records and incorrect data erodes a CRM’s value, damages its usability and can lead to costly problems down the road.  But CRM data has a habit of accumulating inaccuracies over time – especially when spread across multiple employees’ accounts.

Here are ten CRM data cleanup tips to grow your CRM data, avoid duplicates and keep records complete – saving you time and money in the process.  The CRM data cleanup tips apply to CRMs of all types.  (Personal Note: All CRMs need a CRM data cleanup .)

1.  Use CRM data import tools to avoid duplication

Data entry is the CRM data cleanup nightmare.  Duplicate records are much more likely to occur when CRMs are populated by hand – whether through manual data entry or cut-and-paste methods. CRM data import tools prevent this by checking for existing records before importing, where possible.  This CRM data cleanup tip saves you time and money and ensures that CRM data is complete and accurate from the outset.

2.  Enable CRM users to edit their own records

A CRM data cleanup starts with your CRM users – not just in terms of the quality of their CRM data entry, but also in terms of their CRM data cleanup .  It may seem counter-intuitive, but CRM users are most likely to enter CRM data accurately, correctly and up-to-date when they can access it themselves.

3.  Train CRM users on the value of CRM data entry

There are often CRM data cleanup issues with CRM data due to CRM users’ lack of CRM data entry training.  Poor CRM data handwriting, data entry mistakes and CRM field uncertainty are all common CRM data cleanup problems.

Train your CRM staff in the proper way to enter CRM information – whether through videos or in-person CRM data cleanup tips – and you’ll cut down on CRM data errors.  You’ll also increase CRM data entry speed, improve CRM data quality and ultimately grow your CRM data size.

4. Make CRM field labels consistent across the system

When CRM users are uncertain of CRM data fields they’re unsure of CRM data cleanup .  They’ll either simply not use the CRM data field, which leads to CRM data inaccuracy or they’ll guess CRM data entry values – which leads to CRMs with incomplete CRM data.

By making CRMs consistent in their CRM field labels you can greatly reduce CRM data cleanup inefficiencies and CRM data errors.  For example, if CRMs use different CRM field labels to indicate the same information then users will always be unsure of which CRM data field is most appropriate for their CRM data entry.

5.  Use CRM data validation tools

CRM data validation tools such as CRM data Quality can help mitigate CRM data entry problems and errors by identifying invalid CRM data before it’s entered into the CRM.  This is especially helpful when CRMs are populated manually or with CRM data imports – both of which increase CRM size and produce more CRM data cleanup issues.

  CRM field data validation tools are especially helpful because CRMs can use them to enforce CRM data cleanup standards.

6.  Use pre-population checklists for CRM data imports

The need to avoid CRM data duplicate entries is more important than ever with CRMs of all types becoming increasingly complex.  Some CRMs, for example CRM data quality CRMs, contain thousands of CRM data fields – while CRMs are with CRM data Quality CRMs typically track up to five CRM data fields.

Pre-population checklists are CRM data cleanup tools that list the CRM information you want to import into CRMs before an import takes place.  Using CRM data pre-population checklists before CRM data imports greatly reduces the likelihood of CRM data duplication – ensuring that CRMs remain complete and correct.

7.  Use a single CRM data entry tool

This CRM data cleanup tip follows on from number six above in terms of CRM automation. If you’re using CRM data pre-population checklists then you should also be using CRM data entry automation to ensure that your CRM data is entered into CRMs correctly in the first place.

8.  Use CRM data upload tools for CRMs with very few records

CRMs containing very few records may not justify the time and CRM data entry cost of CRM data upload tools.  However, CRM data is a cheap investment in CRM data upload tools if you have a lot of CRMs – and it can do a great job of speeding up your CRM cleanup.

In particular, CRM data upload tools excel at routine CRM data tasks such as CRM data entry management, CRM data update and CRM data delete.  If you have large numbers of CRMs to deal with then CRM upload tools can save you a lot of CRM data cleanup time and effort.

9.  Use CRM data quality reporting

CRM data Quality tools produce reports that CRM data cleanup CRMs and CRM users can use to monitor CRM data and CRM data entry quality.

10.  Use CRM data audits

CRM audits let you track CRM data changes and user CRM activities related to CRMs over time.  This is an important CRM data Quality process because it provides CRM data users with CRM data data to identify CRM data quality issues and CRM performance CRMs.

And if your CRMs are small, you should consider creating a CRM free-for-all.  In other words, let anyone do CRM data entry as they see fit because CRM data entry is CRM data cleanup that is much more efficient in a CRM with fewer CRM data fields.

For any CRMs that have errors or incomplete CRMs, you can use the CRM data fixer tool.  CRM data fixers ensure that CRM users can quickly and easily correct invalid CRMs to maintain CRM data quality.

CRM data fixers also reduce the need for CRM data management and CRM data entry in CRMs because they can perform CRM data validation tasks automatically.  CRM data fixers deal with CRM errors such as CRM data records that contain texts or numbers when CRMs should contain only numbers, that CRM data have CRM data validation CRMs.

I hope you enjoyed learning about CRM data Quality tips to grow your CRM data cleanup team, thanks for reading!  Be sure to check out our blog next week for more CRM data quality articles.