How to identify potential customers who are ready to convert in to paid?

@saisaranv wrote:

I have the data which having the actions which performing on my tool and want to predict the customers who are ready to convert from free/trail in to paid category .

data looks like below :

dummy<-data.frame(license=sample(c("Free","Trail","Paid"),10000,replace = T,prob = c(0.6,0.35,0.05)),
           plan_type=sample(1:5,10000,replace=T),
           action1=sample(0:100,10000,replace = T),
           action2=sample(0:1000,10000,replace = T),
           action3=sample(0:10,10000,replace = T),
           num_days_in_product=sample(0:500,10000,replace = T))
table(dummy$license)
prop.table(table(dummy$license))

head(dummy)
  license plan_type action1 action2 action3 num_days_in_product
1    Paid         1     100      71       5                 285
2    Free         5      75     438       1                   2
3    Free         1       5     555       7                 389
4    Free         3       4     105       0                 150
5    Free         1      16     348       7                 423
6    Free         5      15     866       8                 270

let me know if any extra information needed from my end

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