Place of data storage
Dec 7, 2023 7:43:16 GMT
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Requires both specialized knowledge and appropriate tools, as well as from a dozen to several dozen hours of work. Of course, if you have qualified analysts in your company, you can entrust them with this task. Otherwise, undertaking such an analysis yourself may be a difficult undertaking. The recommended approach in such a situation is to hire external experts. The costs of the analysis itself may vary significantly, but it is worth knowing what they depend on in order to reduce them.
The basic determinants of these Email Marketing List costs are: Cleanliness of the data on which the analysis is based - the more contaminated the data is, the more time the analyst will have to devote to bringing it to a state suitable for analysis. Please pay attention to completeness of data, duplicates, incorrect data or data stored in the wrong format (e.g. date as text). – Churn analysis should contain as much customer data as possible, and they often come from different systems.
Before you attempt to analyze it, you need to bring all this data to one place (e.g. a data warehouse or Customer Data Platform) and combine it to get a view of the same customer from different perspectives. The amount of information about the customer - the more data we have about each customer, the more extensive the analysis is, but also the more accurate it is and provides better conclusions. Churn analysis should be treated as an investment that, after incurring a one-time cost, can bring much greater revenues in the future. It is worth ensuring the purity and unification of data before starting the analysis, thanks.
The basic determinants of these Email Marketing List costs are: Cleanliness of the data on which the analysis is based - the more contaminated the data is, the more time the analyst will have to devote to bringing it to a state suitable for analysis. Please pay attention to completeness of data, duplicates, incorrect data or data stored in the wrong format (e.g. date as text). – Churn analysis should contain as much customer data as possible, and they often come from different systems.
Before you attempt to analyze it, you need to bring all this data to one place (e.g. a data warehouse or Customer Data Platform) and combine it to get a view of the same customer from different perspectives. The amount of information about the customer - the more data we have about each customer, the more extensive the analysis is, but also the more accurate it is and provides better conclusions. Churn analysis should be treated as an investment that, after incurring a one-time cost, can bring much greater revenues in the future. It is worth ensuring the purity and unification of data before starting the analysis, thanks.