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The subdivision method can be divided into two categories, one is step-by-step analysis, for example: visitors to Beijing can be divided into Chaoyang, Haidian and other districts; The other type is dimensional crossing, such as new visitors from paid SEMs.
Comparative analysis mainly refers to the comparison of two interrelated indicator data, from the quantitative display and explanation of the scale of the research object, the level, the speed and other relative values, through the comparison of indicators under the same dimension, you can find out, find out the problems of the business at different stages.
The funnel helps us solve two problems: whether a leak occurs in a process, and if there is a leak, we can see it in the funnel, and we can plug the leak point through further analysis; Whether there are other processes in a process that should not occur that cause damage to the main process of transformation.
Cohort analysis is important in the field of data operations, and Internet operations in particular require careful insight into retention. Analyze what factors affect user retention by comparing the retention of comparable groups of people with exactly the same nature.
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Operations must be data-sensitive, and the following metrics need to be paid attention to:
1. The number of user registrations, first of all, you need to know your registration data.
2. The registration cost is the cost of successful registration of a single user.
3. The investment cost is the cost from registered users to investment.
4. The reinvestment rate is very important, no matter how many investors there are, it is of little significance if there is no reinvestment, because the cost of attracting new users is much greater than retaining old users.
5. ROI, in fact, having said so much, enterprise managers value an indicator that is the return on investment, measuring the advantages and disadvantages of a promotion channel, which is the core indicator.
Knowing which channel has the highest ROI can be used as a reference for your promotion strategy, so that a virtuous circle can be formed.
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1. Prepare all the raw data.
2. Figure out who is looking at your material. Is it the boss, is it a single direction, or is it a user.
3. Through their needs, from the other party's point of view, the other party wants to know the information, from this point of view.
The normal flow is:
Explain the background, the background by the problem, the current state, the current state horizontal or vertical analysis, the direction of progress that can be selected, and summarize.
4. If you really can't figure it out, you can ask more details. I'll come again.
I've been at Lu Gold Lock for a while and should be able to help you.
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Overall data analysis: basic data such as traffic, registrations, conversion rate, GMV, ROI, and customer unit value.
Product-level analysis: the number of users who invested in the product, the average amount, activity, month-on-month, ranking, etc.
User-level analysis: activity, retention, number of new customers, number of old customer recalls, per capita customer acquisition cost, etc.
Page-level analysis: conversion rates for different pages, click data, etc.
These data rely on more contact with data and more accumulation, I hope it can help you, hopefully
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Due to the broad concept of Internet finance, the core indicators of concern in different fields such as payment, investment and wealth management, credit, credit investigation, virtual currency issuance (Bitcoin, etc.), and financial product search are not the same. Even companies in the same field have different indicators of interest due to differences in core business models. Therefore, from an operational point of view, the most reliable thing is to summarize the operational indicators in combination with the company's core business model.
From the perspective of operational risk, the risk runs through the daily operation of the Internet financial company, the operation of the IT platform, etc., which is very different from the operation of the ordinary Internet company, which mainly focuses on the operation of products, so the operation referred to below does not simply refer to the operation of the operation department of the ordinary Internet company, but from the perspective of the operation of the entire Internet company.
According to the commonality of the Internet, the corresponding quantitative index system can be summarized:
1. User indicators: including user credit rating, activity, retention rate, conversion rate, customer unit value (average investment amount), user distribution (proportion of each level), interaction indicators, etc.
5. Partner indicators: the number of projects brought by cooperation, project approval rate, risk coefficient, cost, etc.
8. IT platform indicators: user experience indicators (including response speed, etc.), reliability indicators, security indicators, etc. This is similar to the Internet's metrics.
9. Customer service indicators: complaint classification, connection rate, complaint channel, response speed, satisfaction, etc.
10. Competitive indicators: competitor analysis indicators, Internet public opinion monitoring indicators, etc.
Don't just focus on the data, the data is external, it is the foundation, and the core competitiveness of the product and the platform is the king of development, data + products, to find the optimal development balance of the platform, is the purpose of the game of chess under the operation.
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