I wonder if there is a way to get random sample less than 1%? It's not first time I need it, could n't find any way to figure it out rather than adding additional filters. Are there any tricks?
UPD: Not ideal, but I added 1% to a list, than reference it in another smart list with random sample whatever I need.
Thanks,
Helen
Solved! Go to Solution.
Yes, 50% of 1% will give you 0.5%. But as Sanford points out, the risk is to get 0 as a result. It really depends on the DB sample.
When I need 5 or 10 leads for a test, I browse the database and pick a few manually.
-Greg
Yes, 50% of 1% will give you 0.5%. But as Sanford points out, the risk is to get 0 as a result. It really depends on the DB sample.
When I need 5 or 10 leads for a test, I browse the database and pick a few manually.
-Greg
I am trying to send 1 alert to someone, when an email is cast from an EP. I thought I could use random sample to send an alert to someone via 1 person or .25 %, for persons receiving an email from a nurture campaign.
Otherwise, I need to find an exact email being sent that cast, and add that one person in the flow step to send the alert.
@lsimon ,
can you explain a little more clearly what you're trying to achieve? I've read and re-read your comment, and can't quite fathom it (maybe I just need more coffee!)
Cheers
Jo
That's always a good idea @Jo_Pitts1 !
Not entirely clear to me either, but it seems like the idea is to send an alert when the Campaign has gone out, i.e. the mythical concept of an program/campaign-level (as opposed to person-level) alert.
The closest you can get to that is creating a Resource Person — a person dedicated to a particular program/campaign, who is guaranteed to qualify — and then having a trigger constrained by that person. Certainly that makes more sense then trying to select one random actual person.
Maybe that's the case... but I still don't understand the use case... and I am properly caffeinated currently 🙂
I had to re-read the comment to get some idea around the exact use case. @lsimon talks about using 0.25% or 1 person which if I'm not wrong mean that the total population size of people who can receive the alert email is precisely 400. The random sample % would have to be changed every time there's change in the population size to ensure that only 1 person out of all the designated people receive the alert email. IMO, Sandy's idea of doing this via a designated resource person per campaign/program is far better than going via the random sample approach!
You should be aware that random samples of 1-2% (let alone less) may not return ANY leads.
Well, it means I am lucky It worked for me so far.
But you won't know when it stops working unless you're continually monitoring the size of the overall population.
Thank you, will keep it in mind. Usually, I need it for one list pull or batch - when I want my sample to be more or less fair representation of the DB.
Why would you want such a small sample?
Hi Josh, I need it for testing purposes, data audit, pilot projects, etc.