SaasRise Mastermind Recap - August 19, 2026

🎙️ Topic: Podcast Growth

Challenges: Building an audience and getting subscribers for a new podcast.

Advice: Use Facebook ads to acquire subscribers at roughly 3 each by targeting a well-defined audience list; treat it as a monthly budget line item that compounds over time.

📣 Topic: Meta Ads – Webinar Promotion

Challenges: Choosing the right ad placements and platforms for a webinar targeting small agencies (5–20 people).

Advice: Use Meta Ads Manager (covers both Facebook and Instagram); remove audience network placements but keep all on-platform placements; combine custom audience lists with Advantage Plus targeting.

🎯 Topic: Inbound Lead Generation for a SaaS Platform

Challenges: Generating quality inbound leads on a bootstrap budget, especially in a price-sensitive market; Meta leads were low quality and LinkedIn was too expensive.

Advice: Build a targeted contact list first (names, emails, phone numbers), upload it to Meta to improve match quality and ad relevance, then expand with Advantage Plus; use cold email tools like Instantly and LinkedIn outreach for lower-cost alternatives; enrich data with tools like Clay for personal emails.

🖼️ Topic: Landing Page & Ad Creative Review

Challenges: Webinar headline was too vague ("make your next hire an AI employee") and the sub-headline was too long.

Advice: Make the headline more specific to a role (e.g., "Make your next performance marketer an AI AI employee"); shorten the H1 to ~3 lines; replace the sub-headline with 3 bullet points; consider split-testing role-specific variations; meme-style ads (e.g., Drake meme, Change My Mind meme) can grab attention if the copy is punchy.

🤖 Topic: AI in Customer Support

Challenges: How to leverage AI for customer support chat and measure CS account management effectiveness, including QBRs and renewal workflows.

Advice: A custom AI agent built on Claude Sonnet, trained on markdown files, costs ~$150/month, logs all conversations to identify bugs and knowledge gaps, and can perform limited in-app actions via RESTful endpoints. Crisp Chat was recommended as a cheaper Intercom alternative (~$100/month vs. $1,500), with a built-in AI agent handling ~40–50% of conversations. Tracking lead measures (e.g., Loom videos sent within 24hrs, calls made) over lag measures, and tying CSM incentives to onboarding attendance rates (goal: 25% → 40%) was advised. Custom MCP-connected AI agents that can take in-app actions on behalf of users were also demonstrated. Data privacy caveat: AI touching client data requires extra care, especially under the upcoming EU AI Act.

🌱 Topic: Marketing from Scratch (Ken.so)

Challenges: 30 paid users, no marketing budget, relying solely on outbound email and referrals.

Advice: Add Facebook retargeting as a low-budget first step to reinforce brand with site visitors. Affiliate/influencer marketing is a top channel — pay 20–30% recurring and use First Promoter to track conversions. Buy listicle/article placements via the skyscraper technique; one 182K. Consider white-labeling to agencies as a growth channel. Auto-enroll all customers as affiliates with an easy in-dashboard share link.

Tools Recommended

AI & Automation

• Claude (Sonnet)
• Gemini
• HubSpot Chatbot
• Custom MCP-Connected AI Agent

Outbound & Lead Generation

• Instantly
• LinkedIn
• Clay

Marketing & Ads

• Meta Ads Manager
• Beehiiv

Other

• Go High Level (GHL)
• GHL Calendar
• Crisp Chat
• Intercom
• First Promoter
• Dub.co

Best Advice

Across both sessions, the throughline was making every dollar and every action measurable: build targeted contact lists before scaling ad spend, track lead measures like outreach activity instead of waiting on lag measures like renewals, and treat channels like podcasting and affiliate marketing as compounding budget line items rather than one-off experiments. On the creative side, specificity wins — role-specific headlines and punchy meme-style ads outperform vague, generic messaging. And as AI takes on more customer-facing and in-app actions, founders should pair the efficiency gains with real data-privacy diligence, especially with regulations like the EU AI Act on the horizon.