White Label Analytics
White label analytics software is often used by companies that provide data to other businesses. It offers them the ability to not just monitor their own data, but all of the information they receive from partners. This way, they can monitor the success of their partners and optimize their strategy for more revenue/clicks/etc.
As marketers, we are all very familiar with the idea of white label products. These products are basically where companies sell their own branded product, but then they add in brandings like Nike and Adidas in order to make a sale. So often, white label analytics are referred to as "branded" analytics.
It has many benefits in market research and advertising. The biggest benefit is the cost savings from not having to pay for separate business intelligence software that may already be in place from your own company.
Realize, the white label analyst is going to know some things about your company that you might not want them to know. They will think like an independent researcher, and they will take that independence and possibly use it against you. However, if you are willing to accept those risks, then it is going to be a way for your marketing team to save money and get better marketing insights in the same place.
We will get started by looking at what it is and how they work. After that, we will look at how they compare to the other analytics solutions and who the best option is for you.
White Label Analytics is a type of disaggregated service that allows businesses to create a custom analytics suite on top of an existing analytics solution. The important part is that unlike most pre-packaged offerings (including Google Analytics, Infogram, or Segment) It allows businesses to have an entirely customized solution to meet their specific needs.
The obvious benefit about it is that the business can have a solution that is customized to its needs. This means that the user interface is designed just for them, and the data is seamlessly integrated with their internal systems. Depending on the size of the company, this could mean very little extra server space or an entirely new analytics suite.
This means customization is not limited to just features. Customizations can be made in terms of functions (like filtering, sorting, etc.); designs (colors, images, etc.); and plugins (for internal use only). Most of these are customizations that you can’t make to a pre-packaged solution.
Another important benefit is that this white label analytics gives companies access to companies they would not normally have access to. One of our customers, for example, had a huge international client who wanted all business intelligence tracked in one place. While we could have built a custom solution for them, this would require quite a bit of resources. With a White Label Analytics solution, we were able to integrate with all of their data and show them the results they were looking for.
The only downside is not free. This benefit comes at a price: In most cases, the pricing is higher than for standard analytics solutions. Another example of this is how much a company would typically spend on Google Analytics or Infogr.am even though these are simple web analytics options (vs. advanced web analytics).
Before deciding which white label analytics solution is best for you, you need to think about what features you would like to have. If your company already uses Google Analytics and has access to Google Analytics metrics, then that might be an option for you. For other companies, however, it is important to evaluate the other options and decide which ones work better for your business. Below we will look at both the pros and cons of its solutions compared to these other analytics services.
White Label Analytics
White label analytics software is often used by companies that provide data to other businesses. It offers them the ability to not just monitor their own data, but all of the information they receive from partners. This way, they can monitor the success of their partners and optimize their strategy for more revenue/clicks/etc.
As marketers, we are all very familiar with the idea of white label products. These products are basically where companies sell their own branded product, but then they add in brandings like Nike and Adidas in order to make a sale. So often, white label analytics are referred to as "branded" analytics.
It has many benefits in market research and advertising. The biggest benefit is the cost savings from not having to pay for separate business intelligence software that may already be in place from your own company.
Realize, the white label analyst is going to know some things about your company that you might not want them to know. They will think like an independent researcher, and they will take that independence and possibly use it against you. However, if you are willing to accept those risks, then it is going to be a way for your marketing team to save money and get better marketing insights in the same place.
We will get started by looking at what it is and how they work. After that, we will look at how they compare to the other analytics solutions and who the best option is for you.
White Label Analytics is a type of disaggregated service that allows businesses to create a custom analytics suite on top of an existing analytics solution. The important part is that unlike most pre-packaged offerings (including Google Analytics, Infogram, or Segment) It allows businesses to have an entirely customized solution to meet their specific needs.
The obvious benefit about it is that the business can have a solution that is customized to its needs. This means that the user interface is designed just for them, and the data is seamlessly integrated with their internal systems. Depending on the size of the company, this could mean very little extra server space or an entirely new analytics suite.
This means customization is not limited to just features. Customizations can be made in terms of functions (like filtering, sorting, etc.); designs (colors, images, etc.); and plugins (for internal use only). Most of these are customizations that you can’t make to a pre-packaged solution.
Another important benefit is that this white label analytics gives companies access to companies they would not normally have access to. One of our customers, for example, had a huge international client who wanted all business intelligence tracked in one place. While we could have built a custom solution for them, this would require quite a bit of resources. With a White Label Analytics solution, we were able to integrate with all of their data and show them the results they were looking for.
The only downside is not free. This benefit comes at a price: In most cases, the pricing is higher than for standard analytics solutions. Another example of this is how much a company would typically spend on Google Analytics or Infogr.am even though these are simple web analytics options (vs. advanced web analytics).
Before deciding which white label analytics solution is best for you, you need to think about what features you would like to have. If your company already uses Google Analytics and has access to Google Analytics metrics, then that might be an option for you. For other companies, however, it is important to evaluate the other options and decide which ones work better for your business. Below we will look at both the pros and cons of its solutions compared to these other analytics services.