During this episode of Tech Qualified, we talk with Fara Hain, Vice President of Marketing at Run:AI. Fara Hain explains how Run:AI is benefiting AI companies and helps to define the core elements of AI. She also discusses some of the steps she took to understand the customer base and ensure the company's messaging resonated with their audience.
Episode Highlights:
- Fara Hain talks about her work history.
- Fara Hain describes the ideal customer profile that Run:AI serves and how the company helps solve some of their major problems.
- What are the layers of AI and what is deep learning?
- What are some things that Fara Hain did to relate to Run:AI customers - especially right when she arrived?
- What types of initiatives does Run:AI plan to focus on when connecting with their core audience?
- How did the messaging at Run:AI get established early on?
- What are some things that were crucial to the two-day workshop that helped establish the core messaging within their organization?
- What were some of the major strategies used in order to get other employees involved and excited about the brand messaging exercise?
- What was the methodology she used to get people on the same page at Run:AI - especially early on when she started her role?
- How does she balance short-term lead generation goals with the creation of long-term branding initiatives?
- Are there any online resources that she finds helpful?
3 Key Points:
- AI is divided into three groups: traditional AI with automation, machine learning, and deep learning.
- Product marketing needs to be clear to articulate the company’s value to customers. After you build your messaging, test it.
- Get your team on the same page and ensure everyone (from sales, marketing and other teams) discusses the company in the same way.
Resources Mentioned:
- Fara Hain: Linkedin
- Run:AI: Run:AI
- Run:AI Linkedin: Linkedin
- Moz: moz.com
- Motion: motionagency.io/ultimate