Talking about how to improve the sensitivity of data operation

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Role positioning: Operations staff

Target Requirements:

(1) Increase the number of users active

(2) Enhance the user retention rate

(3) Increase the per capita Apru value

(4) Increase operating income

Existing conditions: The default data are all sampled completely, the value is accurate.

To achieve the goal: how to guide their operations according to the data as timely as possible, even to a certain degree of foresight, can be data to predict the game products and users of the trend of change, so that the appropriate response in advance.

Is it?

This question unfolds very much. Let me introduce you to a more useful method.

Look at the core data first. Take the end of the tour as an example, OK?

It's actually two big classes, players ' behavior and income changes, right?

Collected, what is the use?—— do comparison ah. Compare yourself to others. is to put the data as a tool for the portrait, in the product time and space dimensions to measure ah. There will be a little bit different, at least to see two big class changes.

and oneself than, rise or fall.

Compared with others, more or less.

Then, the almighty "Why" Dafa is sacrificed.

Why is there more people at 8 O ' Wednesday tonight than at the same time yesterday?

Why are there peaks in the number of other games online today?

Why is the number of casual games in the World Cup changing more smoothly than MMO games?

--Why?

What do you see in these two pictures?

Know do not have to look, if you do not know it does not matter ah, we have to sacrifice a second omnipotent "please eat" Dafa.

Please the senior operators to eat Ah, the data analyst to eat AH. Take your own chart, a little bit of your problems and your understanding of the answer to tell others, for abuse and seek contempt!

To learn, to record, to think, to analyze, to give your answers, and to mentorship. The speed of growth is like the seed of the new time, fission has wood? Here, you have to be not sensitive to the data ah, each sampling point is g-point, a look at the curve, line, pie chart column, immediately the love of the bud, deer disorderly hit, mouth is really ah kiss.

Come to the King, the table goes too far. There is also a third step, "to real push"! Mountain of data for you to drive, a ride product for you. What we want is not the data, but to the game-grasp.

Scientia, Gegger, has been lattice down, not Gargamel ah. To know, to guide the operation of Ah, to have the amount of advance. So understand later, will do AH juvenile! Otherwise the KPI is still miserable green!

To write a planning case, to communicate with research and development, art, marketing, customer service, to turn the case into an operational activity, and then to see whether the data changes, as you designed the beginner.

The tail line, the ditch, the real push. The Cycle! Good operation is to let the user:

Internet operation, there is no shortcut to go.

In the foreseeable long future, games, electric dealers, advertising will still be the most important three means of Internet traffic. Operators, to be responsible for more and more expensive traffic, through the product and the user's grasp, the primary grasp of data performance, single-handedly grasping user behavior, will be limited to use the flow, in the possible range will maximize the effect. It's a really nice, popular skill.

There is data theory, but not data theory. Otherwise it is easy to make mistakes of bookishness and dogmatism. Look at the big data and the world is wet.

Finally, Roar!

"Any do not cherish the flow, will only have to measure the amount of washing volume of the operation, is bullying ah ah!" kiss, how expensive do you build the traffic? Nine nine packages of mail http://www.qwea.com written submissions