A few days ago, a friend said that he wanted to talk to me about the cold start of the project. Speaking of which, it has been 4 months since the new whatsapp database project was officially launched. Although I personally think that we are still in the cold start stage, it is still on the right track. There are some small experiences to share. 01 Product whatsapp database Background This product is a tool-type product. The characteristics of some tool-type products are that the DAU is not high, and the retention is not high. It is a coincidence that what we want to do is just a relatively low-frequency tool-type product,
So our early stage Polaris data, not DAU, nor retention, is the usage rate of functions, and the ultimate goal is revenue. For the sake of confidentiality, I will temporarily name this product "Q Product". 02 Product positioning "Q Product" is a tool product, whatsapp database which mainly solves the pain points that the working party and the student party do not have scanners and often need to process files in various formats, helping them improve their whatsapp database efficiency. After a brief understanding, let's introduce a series of things we do for cold start. 03 Sort out suitable channels .
The most important element of a cold start is the user, so in the early stage, you must find a suitable channel and find some users in the whatsapp database channel. So how do you sort out the channels? Because my work is mainly related to growth, my sorting is mainly performed from different angles of growth. It is mainly divided into content growth, whatsapp database paid purchase growth, expansion of brand exposure, in-product activity promotion, user communication recommendation, etc.