Data Analysis Tips for Marketing Campaigns

A lot has been written on data analysis for marketing and other business organizations. Researchers come up with findings related to the relevance of data analysis that includes the analysis of the information resources, the content that needs to be communicated and the audience information in the database of the organization. A regular and systematic analysis of the database ensures the success of every sales and marketing venture. Any amount of dirty data present in the database can lead to small and big issues that can directly or indirectly affect the marketing targets and the reputation of the organization.

Some of the Tips Related to Data Analysis That Every B2B Marketer Should Keep in Mind are as Follows:


Verify your database for incomplete entries. Certain fields may be left out while the customer information is updated in the database. Such incomplete entries may be problematic when you are sorting the data with respect to various parameters. If you are segmenting the data for various product or service lines and the information is incomplete, this can affect the results too. Many a times when the marketing campaign is automated and the data is incomplete, the information is not detected correctly and errors may occur.

Run a brief data cleansing cycle to ensure that irrelevant data is deleted. This irrelevant data is absolutely of no use and just occupies the storage space for no reason. If you plan data segmentation, this data proves to be a barrier as it cannot fit in any applicable portion. If you are planning email campaigns and the data is not relevant, you have a high probability of hitting the spam trap. Above all, whenever you conduct data analysis or marketing analysis, the irrelevant data prevents the correct output from being rendered as it adds useless values to your calculations.

Organize your data before you gear up for a campaign. Data cleansing not only involves deleting irrelevant records, but it also involves organizing data. The data sets need to be organized in order. If there are old records, you can either delete or archive them. Redundant or repeated data should be deleted. The existing data if not organized should be placed properly. Even if you have automated the marketing processes, the inputs need to be validated to ensure better results.

 Ensure that incorrect data is repaired or deleted as applicable. Incorrect information including demographic information or contact addresses has to be valid. Even if you have a database management program in place, it is advisable to run a validation check before every campaign. Incorrect data can prove your efforts to be futile. For example an incorrect email can result in a bounce. Incorrect official information about a customer can lead you into an embarrassing situation and so on.

Thus data analysis in various aspects is important to increase the success rate of every marketing campaign.

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