
GrowthRise Mastermind Recap October 13, 2026
Today we held our weekly GrowthRise Mastermind call. Below is the recap post on the topics we covered today.
📊 Topic: Seasonality & Discovery Call Bookings
Topic: Booking trends follow a seasonal pattern (Q1/Q2 strong, summer dip, Q3 recovery, Q4 slowdown before holidays).
Challenges: Managing the natural decline heading into Q4.
Advice: Use historical data to anticipate and plan around seasonal shifts.
📣 Topic: Top-of-Funnel & 2027 Marketing Strategy
Topic: Plans to expand into connected TV and YouTube video assets; short vignettes showcasing the core product.
Challenges: Brand awareness is still growing; acquisition is solid but more people need to know what to look for.
Advice: Seed the top of funnel with media that demonstrates product function to drive organic recognition.
💵 Topic: Agency & Sales Investment
Topic: Currently working with an SEO agency for technical SEO; brand/lead agency put on hold.
Challenges: Limited budget required prioritizing sales team buildout over brand agency spend.
Advice: Focus resources on SEO as a long-term play while building the sales team.
🎯 Topic: Trade Shows & Events
Topic: Paid shows (e.g., CSCMP) performing well; considering Manifest in Nashville.
Challenges: Cost of attending Manifest requires internal buy-in.
Advice: Prioritize paid-attendance shows where attendees have clear goals.
🤖 Topic: AI Adoption
Topic: AI used for marketing content, auto-tagging, image/video generation, and feature development.
Challenges: AI "slop" after several iterations; hallucinations require a trust-but-verify approach.
Advice: Maintain human oversight; verify all AI-generated outputs before publishing.
Best Advice
Use historical data to anticipate seasonal shifts in bookings, and seed the top of funnel with media that demonstrates product function. With a limited budget, focus resources on SEO as a long-term play while building the sales team. Prioritize paid-attendance shows where attendees have clear goals, and maintain human oversight by verifying all AI-generated outputs before publishing.
