Hi all. I have a question about

anonymous_id

. How to use it correctly? • For example, if I have an

orders

table and I build metrics based on it. • Do I need to store both

anonymous_id

and

user_id

in

orders

and the same fields in

viewed_experiments

? • Then add

anonymous_id

as Identifier in GB and select

ananoymous_id

from

orders

table in my sql metric? • And if the

anonymous_id

from

orders

and

viewed_experiments

match, then I will get a conversion, right? • What if a user from the orders table was previously assigned to a different option? For example, if I have this records in my database:

ORDERS TABLE (id, user_id, anonymous_id, timestamp)
1, 1, anon1, 2023-01-01 (the user id was known at the time of creation)
2, 1, anon2, 2023-01-04 (user ID added to the order after user authorization)

VIEWED_EXPERIMENTS TABLE (user_id, anonymous_id, experiment_id, variation_id, timestamp)
1, anon1, experiment1, 0, 2023-01-01 (the user created the order authorized)
null, anon2, experiment1, 1, 2023-01-04 (the user created an order as an unauthorized user and ended up in another group)

What is correct way to analyze experiment in such situation?

What is your experiment going to be randomized on? the anonymous_id?