1. Various common APP types
E-commerce: transactions, traffic,
social: traffic,
travel: insurance,
finance: high-frequency, low-frequency, credit card installments,
Maps: provide API interface services for other apps, splash screen ads,
news:
entertainment: copyrights, advertisements, members Class
Education:
Tools:
2. Various common core indicators (e-commerce)
| theme | index |
|---|---|
| transaction | Transaction volume, order volume |
| flow | GIVE |
| user | Number of trading users, number of new customers |
| supply | Online merchants/products, mobile merchants/products (someone bought them), mobile sales rate |
| cost | Subsidy amount, subsidy rate |
| income | Gross income, gross profit margin |
3. Description of common abbreviations
| abbreviation | Description |
|---|---|
| UV | Number of unique visitors |
| PV | Page visits |
| GMV | Gross Merchandise Volum, transaction volume |
| GIVE | Daily Active User, daily active user (expansion: MAU-monthly active user) |
| APRU | Average Revenue Per User, per capita income (per capita transaction amount) |
| CPC | CostPer, Click, pay-per-click advertising |
| CPM | Cost Per Miller, cost per thousand people, during the advertising process, how much advertising cost is shared equally by no one who hears or sees an advertisement |
| CPR | Cost Per Response, cost per response, billed for each response of the viewer |
| CPP | Cost Per Purchase, advertising is mainly to avoid the risk of advertising costs for each purchase cost. Only after the network user clicks on the advertisement and conducts an online transaction, will the advertising site be paid according to the number of sales |
| YOY | Year on Year percentage, year-on-year growth rate, the current period of this year/the same period last year -1 |
| WOW | Week on Week percentage, week-on-week growth rate, current week/last week -1 |
| MOM | Month on Month percentage, month-on-month growth rate, current month/previous month -1 |
| MTD | Month To Date, current month to date |
| YTD | Year To Date, year to date |
| LTV | Life Time Value, the total value of the life cycle, the customer lifetime value, is the sum of all the economic benefits that the company obtains from all the user interactions |
| CAC | Customer Acquisition Cost, user acquisition cost, that is, how much you spend to acquire a new user |
Traffic indicators : the number of unique visitors UV; the number of page visits PV.
Page visits per capita: Page visits/number of unique visitors, this indicator reflects the stickiness of the APP.
General requirements for the preparation of analysis reports
1. Make sure that readers of the report can get some valuable opinions and suggestions for their work through 3-5 minutes of reading!
2. Use the most concise and unambiguous way to explain your point of view. Don’t let others bother to understand it
. 3. No matter how much working paper you have prepared, only write the most relevant and best value in your report
4. Each page of PPT and each paragraph of text only expresses one core point of view
Daily comparison of different analysts
You can't just be a mathematician! ! ! Why do you want to take, see what performance, whether the time should be selected like this, should the dimensions be updated a bit, and whether this indicator can better reflect the real situation, then set a meeting room tomorrow to discuss in detail
Reaction after seeing the data
First, figure out the trend of business changes, and then figure out why this change happened...
Misunderstandings of analysis:
1. Don't ask about needs, don't discuss communication, become a tool for mentioning numbers
2. Don't understand the business in depth, analyze for the sake of analysis
How to build a framework for analysis reports
Be careful not to ignore the scope of analysis! ! !
Common analysis methods for writing analysis reports:
Matrix analysis method: 
Use the average value of the real estate down payment and the annual growth rate of the house price as the intersection of the entire coordinate axis.
Quadrant 1: The down payment for real estate is greater than the average; the annual growth rate of house prices is greater than the average.
Quadrant 2: The down payment for real estate is lower than the average; but the annual growth rate of house prices is greater than the average.
The third quadrant: real estate down payment and annual growth rate of house prices are lower than average.
Fourth quadrant: real estate down payment is high, but house price growth rate is low (conclusion: investing in Tokyo is not worthwhile)
How to do a good deal of analysis
Analysis of transaction analysis case (example: analysis of the split method of the e-commerce company's transaction volume)
B end: supply side
C end: user end
Number of online POIs: number of online merchants/number of stores
Movable sales rate:
GMV of a single store:
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