GrowthRise Mastermind Recap Jan 20, 2026

1. Topics Covered

Topic: AI for Marketing Content Creation

• Challenges: Finding the right AI tools for generating blog content, video creation (length limitations), and ensuring content quality
• Advice: Use AI as a thought starter for copywriters; employ spam analysis tools for email campaigns; implement proper markup language (LD JSON, aside tags) for SEO optimization; Canva offers decent AI functions for basic image creation with headlines

Topic: LinkedIn Message Ads

• Challenges: Determining optimal message length, addressing pain points effectively, achieving good match rates with target lists
• Advice: Keep messages short and focused; address 3 specific pain points in bullet format; target competitors' customers directly; expect ~50 cents per message with 60-70% open rates; use list building tools to identify decision-makers; click-to-booking conversion can be 90-100%

Topic: Trade Show Marketing

• Challenges: Reaching attendees before/during events, converting business emails to personal for Meta targeting
• Advice: Use Meta ads with radius targeting around venue addresses; upload attendee lists to ad platforms (need few hundred minimum); use Clay for enriching business emails to personal contact information

Topic: Email List Hygiene

• Challenges: Identifying honeypot/spam trap emails in purchased data, maintaining list quality
• Advice: Clean lists before sending to avoid deliverability issues; be cautious with Apollo data as it may contain honey trap emails

2. Tools Recommended

• Canva (AI image creation)
• Apollo (contact data enrichment and LinkedIn profile acquisition)
• Built With (identify competitor technology usage)
• Clay (data enrichment for personal emails/phone numbers; credit-based pricing)
• ZoomInfo (contact data; compared with Apollo)
• ChatGPT (content generation and spam analysis)
• Gemini (content generation and spam analysis)
  

3. Best Advice

The most valuable advice was the LinkedIn message ads strategy: build highly targeted lists of competitors' customers, send personalized messages at ~50 cents each addressing 3 specific pain points, and expect strong open rates (60-70%) with high click-to-booking conversion (90-100%). This approach works particularly well for B2B companies with high-value contracts where prospects may be locked into competitor agreements but will eventually enter buying cycles.