Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Growing an Audience: Lessons from Launching a New Sport

Growing an Audience: Lessons from Launching a New Sport Live broadcast: 10 AM CT on 5/18   Register Now Whether you’re building awareness of a new sport or building a B2B brand, the core principles remain the same: Identifying your audience Engaging them meaningfully Offering something they can’t resist Brittan Morris is doing this for…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share
Growing an Audience: Lessons from Launching a New Sport

Growing an Audience: Lessons from Launching a New Sport

Live broadcast: 10 AM CT on 5/18

Register Now

Whether you’re building awareness of a new sport or building a B2B brand, the core principles remain the same:

Identifying your audience

Engaging them meaningfully

Offering something they can’t resist

Brittan Morris is doing this for Ice Cross, the most intense sport you might not have heard of yet. Haven’t heard of Ice Cross? Imagine a blend of ice hockey, BMX, and downhill skiing, and you’ll begin to grasp the adrenaline this sport delivers.

Our host, Tim Maitland, sits down with Brittan to delve into the story of launching and growing Ice Cross. They’ll explore the parallels between growing a sport and businesses building their communities and discuss the strategies that are proving successful.

Bonus: brace yourselves for some action as Tim hits the gym and ice rink, gearing up for a taste of the Ice Cross track! This is going to be a very fun episode packed with insights, excitement, and plenty of action.

Join us for the live broadcast 10:00 AM CT on 5/18

https://media.marketscale.com/B2B-Weekly-with-Tim-Maitland/en/session/e3b20f40-e905-11ed-8517-1335f1f35464?utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_ggp_UrzZazXmRGlHov7Kd7pRzVmkCDmciK1RHI4aXTusrTI51BTNjByDwNKkV8el0Srtt

Register Now

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512