What kind of data analysis method is suitable in product operation

products in the daily operation of the operation is certainly necessary to control the operation of some of the indicators. When faced with the out of order data, product operation buddy need to analyze the product data from different angles, and effectively guide the operation, effectively promote the product operations for work is not a small contribution. Then the data analysis method of what is appropriate? Today the first to introduce mr..

 

first, multidimensional event analysis

so-called multidimensional event, is the need for the product operator to the user in the product of all the trigger of the conventional action for dismantling. As a product of APP, the user from the download, open, browse, select, payment and so on, these are called user events, although each habits are not the same, each product business process is not the same. But the same as the Internet electricity supplier products, its operation steps in fact, up to 20 species, there are a lot of common.

 

multidimensional event analysis

in the face of these user events, in fact, is one of the data buried points, product operators can be based on their own needs to allow engineers to bury points, and after the operation of pulling out their own data.

Here is an example of

, the first once met a problem. Is to analyze the data of the recent site payment. Always find recently paid orders in the reduction. In the case of stable discharge and delivery orders, payment behavior is not a problem in the payment channel. So the site’s payment channel dismantling a look into a lot of channels, and buried. After a period of relatively stable operation, analysis of payment data, found that the two payment channel seen obvious changes, so it needs to continue dismantling, buried pull data, you will find that the effective payment under the different environment of each payment channel is different. Therefore, we have improved the weak payment environment for some weak payment channels.

second, funnel analysis

in fact, this is one of the most common data analysis methods for many product operators. The general planning of product data is buried, pulled out a period of data, through the year and sequential way, analyze the time to how many people, how many people are browsing, how many people, how many people under the single payment and so on. Based on the analysis of a series of new, user retention, activation and transformation of data analysis, the proportion of every phase, so as to draw the improvement policy in which the links, in order to improve the conversion rate of the product users.

 

funnel analysis

third, A/B test

when a product is in the design phase,

products in the daily operation of the operation is certainly necessary to control the operation of some of the indicators. When faced with the out of order data, product operation buddy need to analyze the product data from different angles, and effectively guide the operation, effectively promote the product operations for work is not a small contribution. Then the data analysis method of what is appropriate? Today the first to introduce mr..

 

first, multidimensional event analysis

so-called multidimensional event, is the need for the product operator to the user in the product of all the trigger of the conventional action for dismantling. As a product of APP, the user from the download, open, browse, select, payment and so on, these are called user events, although each habits are not the same, each product business process is not the same. But the same as the Internet electricity supplier products, its operation steps in fact, up to 20 species, there are a lot of common.

 

multidimensional event analysis

in the face of these user events, in fact, is one of the data buried points, product operators can be based on their own needs to allow engineers to bury points, and after the operation of pulling out their own data.

Here is an example of

, the first once met a problem. Is to analyze the data of the recent site payment. Always find recently paid orders in the reduction. In the case of stable discharge and delivery orders, payment behavior is not a problem in the payment channel. So the site’s payment channel dismantling a look into a lot of channels, and buried. After a period of relatively stable operation, analysis of payment data, found that the two payment channel seen obvious changes, so it needs to continue dismantling, buried pull data, you will find that the effective payment under the different environment of each payment channel is different. Therefore, we have improved the weak payment environment for some weak payment channels.

second, funnel analysis

in fact, this is one of the most common data analysis methods for many product operators. The general planning of product data is buried, pulled out a period of data, through the year and sequential way, analyze the time to how many people, how many people are browsing, how many people, how many people under the single payment and so on. Based on the analysis of a series of new, user retention, activation and transformation of data analysis, the proportion of every phase, so as to draw the improvement policy in which the links, in order to improve the conversion rate of the product users.

 

funnel analysis

third, A/B test

when a product is in the design phase,

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