Hive

Hive is the industry-best marketing platform for event marketers. Our platform powers marketing for 1500+ of the most iconic event, festivals, venues, promoters, and event-centric brands across North America.

We help our clients sell out their shows and make their events unforgettable - by helping them grow their customer base and personalizing and automating their email, SMS, and ad campaigns.

Hive integrates with 25+ partners like Ticketmaster and Shopify, ingesting rich customer data in real-time. With this data, event marketers can segment their audiences in powerful ways and send timely, customized messages to their customers.

Hive was founded in a University of Waterloo computer lab and graduated from Y Combinator in 2014. Today, we’re a remote-first team spread across Canada and the US, building a product and a culture that values clarity, ownership, and real customer impact.

##Past Projects:

• We built a state-based pipeline to send millions of personalized emails every day, while maximizing deliverability and reducing spam complaints based on real-time feedback from email providers like Gmail, Outlook, and Yahoo.
• We designed and built a simple intuitive interface to let our clients easily query their own customer data. Behind the scenes, it executes queries against billions of data points across different types of databases and combines the results together in seconds.
• Using Kubernetes and Docker, we re-built the infrastructure and tooling that powers our background task processing system, which runs billions of jobs every day. We’re able to dynamically scale up and down our total processing capacity automatically based on workload - which means things execute faster for our clients, we save loads of money on idle servers, and our engineers can sleep at night.
• We designed and built a Javascript SDK that other developers (our clients and partners) integrate directly on their websites and online stores to pump customer preferences and behaviour into Hive. Because of this (and our other integrations), our product often is the only place where our clients can view and store all of their customers’ preferences, behaviours, and purchase history in one single “database”.