Judgment method 1: Look at the platform users, or look at the traffic of the platform.

Refer to the chart above.

A platform with a large number of users covers a wide range. On the one hand, it represents the upper limit of what can be achieved by advertising on this platform. Under the same conditions, the more the number of daily/monthly active people in the platform to advertise, the advertisement has a greater likelihood of good results. On the other hand, with a large user base, the more data the platform collects, the stronger the big data capability. WeChat and Today's Headline's precise placement function is particularly accurate, thanks to their extremely large databases. For example, if I use WeChat to send a message that I want to eat Golden Arches, there may be a Golden Arches infomercial in my circle of friends in the next second.

Judgment method 2: platform from the product point of view

What type of game is your game? Casual? Immortal? Three Kingdoms?

Each game has its own target user group and potential user group. For example, the legendary advertisement is initially aimed at the post-80s and post-90s, a group of users who have both spending power and experience in the legendary game.

And the users of each promotion channel also have their own attributes.

For example, Jitterbug has more women than men, with a ratio of 6:4; for example, Today's Headlines has a majority of men over 20 years old (78%); for example, Zhihu has a per capita salary of 985, 211 ten million dollars a year (dog head).

The attributes of the product try to match the attributes of the users of the platform is good.

Judgment method 3: look at the data

With the help of third-party big data tools, see where games of the same type are advertised. For example, casual handheld games.

Data from: DataEye-ADX

Then look at the effect of their placement (number of likes, comments, retweets, etc.)

Data from: DataEye-ADX

Compare them with the available real-time and accurate data. A high number of ad placements doesn't necessarily mean good results, it has to be viewed in conjunction with data on clicks, likes, and other types of information that users have clearly interacted with, to make it clear which platforms are more suitable for placements.