About:
Lytics is a customer data platform (CDP) built for marketing teams to improve business performance by connecting the right data to Lytics’ powerful AI engine. By combining unique behavioral insights, machine learning, and real-time campaign orchestration, Lytics equips marketers with the tools to create unique one-to-one marketing campaigns and engagements based on each user’s interests and customer journey. Some of the world’s most innovative brands use Lytics’ CDP technology, including Nestlé Purina, AEG, Atlassian, Industry Dive, and Yamaha.

Role:
Product Manager (Jun 2014 - Sep 2015)
At Lytics, I was the first Product Manager and worked closely with the Data Science, Product Engineering and Integrations teams to establish our process for defining and building new features. I managed our integrations roadmap, established partnerships and defined the initial use cases for each integration.
Here is a look at one of our very early dashboards where we segmented users based on their behaviors collected from a variety of channels.

Highlights:
Integrations:
I managed our integrations roadmap, established partnerships and defined the initial use cases for each integration. I led the Lytics' integrations with Mailchimp, Adroll, Facebook, Google, Twitter, and Optimizely. In addition to adding new integrations, we made several improvements to the onboarding experience in order to improve our activation rate. Below is a look at our recommended integrations feature that would display in the user's dashboard.

Self Service Model:
In order to drive adoption with SMEs, I led a team of engineers, marketers and a designer to develop a self-service model. We quickly developed an experiment that allowed potential customers to connect three data sources and we would send them weekly emails highlighting how their audience was changing. Our goal was to reduce onboarding friction and help users understand the prediction models developed by our data science team. Below is a look at one of our landing pages and the email reports we shared with users.


