Connect customers, purchases and accounts. Give maxinja the context to recommend a message that fits.
Halden Coffee example
The same catalog. A different next coffee.
CContact
SB
Sarah Bell
Brewer
V60 pour-over
Likes
Bright, fruity coffee
Preference
Try a lighter roast
Preferences that explain the choice.
Bought by SarahOOrder object
House Espresso
Product from the last order
Available in the example catalogPProduct object
Ethiopia Yirgacheffe
Light roast Citrus and jasmine
OEventOrder completedSarah bought House Espresso.
Person + purchase + product context. A lighter roast for bright, fruity pour-over coffee.
V60 pour-overTry a lighter roast
The message this context makes possibleHalden
Your next cup starts here.
Hi Sarah,
Try Ethiopia Yirgacheffe for your V60 pour-over. Its light roast and citrus and jasmine notes suit the bright, fruity coffee you enjoy, while giving you the lighter roast you’d like to explore after House Espresso.
House Espresso is a natural next choice after Ethiopia Yirgacheffe. Its chocolate and caramel notes match your taste, while the medium roast is made for your espresso machine and works especially well in the flat white you make each morning.
Find your next coffee
One business. Every customer’s context.
Connect people to orders, products, accounts and subscriptions. Keep shared business records separate from each person’s activity.
Loopwell example
A
Account objectStudio North
ContactMaya Nolan
0 own projects
ContactDaniel Chen
1 own project
The account is shared. Their progress belongs to each person.
Facts you store. Answers you calculate.
Store known details, such as a brewing preference. Evaluated attributes find related records and calculate answers from the data you maintain.