How does Youmeng Statistics do data review? Guide to efficient analysis methods

at the moment when the traffic dividend has peaked, data review has become the core link of product operation and growth, and Youmeng Statistics, as the mainstream mobile application data statistics tool in China, its rich index dimensions and analysis capabilities are an important support for data review. Although many operators check the data reports of Youmeng Statistics every day, they do not know how to carry out the review systematically, and it is difficult to mine the real business value from the data. This article will combine the tool characteristics of Youmeng Statistics to dismantle the whole process data review method from target anchoring to landing optimization, and help everyone convert data into the driving force for business growth.

1. What preparations should be made before the statistics of the Alliance are resumed?

efficient data review is not directly staring at the report to see the numbers, but needs to be prepared in advance to make the data analytics of the statistics of the alliance more targeted.

1, anchoring cycle and core target

first to determine the recovery cycle according to business characteristics, such as e-commerce applications can be 7 days or 30 days as a cycle, tool applications can be reviewed according to the natural month. At the same time, it is necessary to clarify the core goal of this recovery, is to analyze the reasons for the low retention of new users, or to investigate the problem of substandard conversion of activities.

2, sort out the core index dimensions of the statistics of the alliance

to sort out the indicators related to the target in the statistics of the alliance in advance, such as the core indicators such as DAU, weekly active users, next-day retention, day 7-day retention rate, and channel sources, user portrait, etc. for retention review, so as to avoid blind search in massive indicators and improve the efficiency of review.

Second, how to use statistics to dismantle the core business indicators?

indicator disassembly is the core link of data review, with the help of multi-dimensional analysis capabilities of statistics, general business indicators can be disassembled into sub-dimensions that can be landed, and the problem can be accurately located.

1, according to the user life cycle dismantling indicators

use the user layering function of Youmeng statistics to split users according to the life cycle stages of new users, active users, lapsed users, etc., corresponding to indicators such as dismantling customer acquisition, activity, retention, and conversion. For example, when analyzing new user retention, you can view the next day retention differences of new users in different channels through Youmeng statistics to determine whether it is a channel quality problem or a new user onboarding flow deficiency.

2. Disassemble the indicators according to the business scenario

disassemble the indicators of Youmeng statistics for different business scenarios. For example, e-commerce applications can be divided into scenarios such as product browsing, adding to shopping cart, placing orders and paying, and view the conversion funnel data of each scenario. If the conversion rate of payment links is found to be low, it can be further analyzed by abnormal events of Youmeng statistics to investigate whether the payment process is cumbersome or the problem caused by the failure of payment channels.

Third, how to investigate and analyze the abnormal statistical data of the Alliance?

data review process is the most commonly encountered abnormal data fluctuations, with the help of the fine analysis capabilities of statistics, you can quickly locate the business reasons behind the anomaly.

1, first confirm the accuracy of the data

find data abnormalities, first of all, through the data source verification function of the statistics of the alliance, confirm whether it is a statistical code event tracking error, data reporting delay or statistical deviation caused by version update, eliminate the problem of the tool level, and then analyze the reasons from a business perspective.

2, multi-dimensional cross localization abnormal root

use the multi-dimensional cross-analysis function of Youmeng Statistics to split abnormal data from time, channel, user portrait, device model and other dimensions. For example, if the DAU data suddenly plummets, you can view the DAU changes of different channels. If only one channel data declines, it is most likely that the channel's delivery strategy is adjusted or the cooperation is terminated. If the omni-channel declines, consider whether the application version update has bugs or external environment changes.

Fourth, how to implement the conclusion of statistical review of the alliance business optimization?

data review is to drive business growth, so it is necessary to transform the analysis conclusions of Youmeng Statistics into a practical optimization plan.

1, formulate targeted optimization measures

formulate specific measures according to the review conclusion of the statistics of the alliance, such as finding that the retention of new users in a certain channel is low, which can optimize the new user onboarding flow of the channel, or adjust the delivery materials of the channel, and accurately reach users with higher matching degree; if it is found that the conversion rate of the payment link is low, it can simplify the payment process and increase the commonly used payment channels.

2, with the alliance statistics tracking optimization effect

optimization measures are implemented, it is necessary to set up exclusive indicator monitoring kanban through the statistics of the alliance, track the changes of relevant indicators in real time, such as the improvement of the retention rate of new users after monitoring and optimization, the improvement of the payment conversion rate, and adjust the optimization strategy in time according to the data feedback.

To sum up, the data review of Youmeng Statistics is a complete process from preparation to landing. The core lies in anchoring target dismantling indicators, accurately troubleshooting anomalies, and landing optimization plans. With the tool capabilities of Youmeng Statistics, operators and product managers can jump out of the surface data, dig out real business problems, realize data-driven refined operations, and ultimately provide continuous power for business growth.