An effective Customer Relationship Management ( CRM ) platform is the cornerstone of any business – it builds up a general client profile ...
An effective Customer Relationship Management (CRM) platform is the cornerstone of any business – it builds up a general client profile which allows the company to better reach out to the public to promote its products and services. When setting up these programs though, one of the greatest pitfalls is aiming to collect as much data as possible. This shotgun approach looks at large quantities of information when the focus really should be on the quality of that data instead. More isn’t always merrier when it comes to CRM and here are a few reasons why. In this article, you will learn the Top Best CRM Strategy Tips on Quantity vs. Quality.
Analysis Is Highly Inefficient
If you’ve decided on a scattershot approach when it comes to collecting customer data, you’ll have more of it to pore over when creating your monthly reports. Thus, you it may be difficult to spot any useful trends and profiles amidst the hodgepodge of details that you have collected. Instead, you can focus on quality and spot the patterns in a far easier manner.
There’s also the chance that you may spend too much time collecting the information without putting it to work. For instance, the catalogue company, Newport News, spent 90 percent of its time extracting data and only 10 percent analysing it. This was a tremendous waste as the details coming in could have been used to grow and direct the company if they had been more efficiently gathered in the first place.
Higher Chance of Errors
When it comes to data collection, there’s always the chance that you’ll include bad info in your spreadsheet or database. The more you extract, the higher this chance is, which ultimately can detract from any value that information may have contained. For example, you may collect data that is:
As you can see, it’s harder to do the spring-cleaning when you just collect as much information as you can. Since making data accessible to your sales staff is important for effective CRM, focus your extraction efforts so you can more effectively remove any errors found within. Then, your team can form customer profiles to better effect.
Larger Storage Space Required
If you’re a large organisation dealing with thousands of customers, you’ll be aware of the sheer amount of information that can be gathered. If you aim for quantity, this can then cause technical difficulties by:
Eliminate Pointless Information
Lastly, compiling too much data can leave you with a whole lot of useless details that really add nothing to your company. If you want to really utilise these results in the best manner, only collect certain types of customer data for your CRM platform. While this depends on the specifics of your business, here are some general fields which will supply a range of useful information:
The moral of this guide is to focus on the type of information you’re collecting rather than just how much of it you’re storing in your databases. By honing in on quality customer info instead of just collecting every detail that you can, you’ll get more out of your CRM and the analysis that it provides you with. If you’re looking for a CRM system solutions, then you can check out Feline Soft.
Analysis Is Highly Inefficient
If you’ve decided on a scattershot approach when it comes to collecting customer data, you’ll have more of it to pore over when creating your monthly reports. Thus, you it may be difficult to spot any useful trends and profiles amidst the hodgepodge of details that you have collected. Instead, you can focus on quality and spot the patterns in a far easier manner.
There’s also the chance that you may spend too much time collecting the information without putting it to work. For instance, the catalogue company, Newport News, spent 90 percent of its time extracting data and only 10 percent analysing it. This was a tremendous waste as the details coming in could have been used to grow and direct the company if they had been more efficiently gathered in the first place.
Higher Chance of Errors
When it comes to data collection, there’s always the chance that you’ll include bad info in your spreadsheet or database. The more you extract, the higher this chance is, which ultimately can detract from any value that information may have contained. For example, you may collect data that is:
- Misspelled
- Incorrect
- Duplicated
As you can see, it’s harder to do the spring-cleaning when you just collect as much information as you can. Since making data accessible to your sales staff is important for effective CRM, focus your extraction efforts so you can more effectively remove any errors found within. Then, your team can form customer profiles to better effect.
Larger Storage Space Required
If you’re a large organisation dealing with thousands of customers, you’ll be aware of the sheer amount of information that can be gathered. If you aim for quantity, this can then cause technical difficulties by:
- Inflating your databases so they contain too many fields and entries
- Creating increased file sizes which cannot be easily stored or copied
Eliminate Pointless Information
Lastly, compiling too much data can leave you with a whole lot of useless details that really add nothing to your company. If you want to really utilise these results in the best manner, only collect certain types of customer data for your CRM platform. While this depends on the specifics of your business, here are some general fields which will supply a range of useful information:
- Customer name
- Contact details
- Transaction history
- Customer profile
- Communications
- Spending habits
The moral of this guide is to focus on the type of information you’re collecting rather than just how much of it you’re storing in your databases. By honing in on quality customer info instead of just collecting every detail that you can, you’ll get more out of your CRM and the analysis that it provides you with. If you’re looking for a CRM system solutions, then you can check out Feline Soft.
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