Number of user that reads at least P posts weekly for within at least W consecutive weeks
- P determined by looking at weekly post reading per user distribution, we want al least
- W determined by retention rate
- same user for n weeks, where is the critical line where we can say this user stick with us
- Read more posts means product is good???
- what if they just can’t find what they want?
- Does user coming back for more content means they get the value they need?
- What’s the value we provide to the customer?
- agronomy knowledge
Well, seems to be lacking
Ask ourselves again…
- do we want to say that the knowledge in kasetgo is useful
- does coming back for more means it’s useful?
- do they spend less time getting the knowledge they need to improve their agriculture?
- so they will keep coming back when they want answer?
- do they spend time exploring more content?
- but then the time spend for looking for content / jumping around between content should be minimal?
This seems to be a transaction game? Or attention game? Or a mix of both?
Where farmer comes and get knowledge they need to proceed with their life.
- they find it useful, share to other farmer to join (increase organic reach)
- so read more posts does not make sense but the ratio of share per read might make sense?
OR IS IT !
- Average Interaction per view or IPV per user? Since this means, the bigger the number, the better user find knowledge useful in a within smaller search space. (This, I guess will normally distributed)
- view is basically visiting the page, unique per user
- interaction including likes, endorse, comments, follows -> mental effort needed to perform
But that might not address how big the platform is so we might want to add active user factor to incorporate growth by integrating IPV distribution
- then they can find good content for them easily -> less view per interaction
- breadth:
- interactions
- depth:
- IVR per post -> to know that which kind of post gives the best interaction, thus people might like interacting with