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SaasRise Mastermind Recap - May 13, 2026
The SaasRise Mastermind meetings on May 13, 2026, featured discussions among SaaS CEOs and founders on these topics.
💰 SDR Incentive Structures
Challenge: Determining how to incentivize offshore SDRs who book appointments but do not close deals, especially when warm-lead follow-up is inconsistent.
Advice: Offer a base salary plus bonuses for appointment shows and monthly performance. Even an additional $1,000-$2,000/month can be meaningful for offshore talent. Consider recurring commissions on closed deals plus referral bonuses to build long-term engagement.
📊 GAAP Accounting & EBITDA Definitions
Challenge: Uncertainty around whether capitalized software development costs should be included in EBITDA calculations, especially when valuation multiples and earnout structures are involved.
Advice: Consult experts with fundraising and M&A experience. Define EBITDA explicitly in any transaction agreement to avoid disputes instead of relying on broad GAAP references.
🤖 AI Adoption & Team Productivity
Challenge: Some team members are achieving major productivity gains with AI while others are seeing much smaller improvements, creating performance gaps. There is also risk in automating without enough domain expertise.
Advice: Hold teams accountable to outcomes, not just activity. Balance speed with quality, and make sure domain experts are managing AI tools rather than automating blindly.
🏦 Managing Expectations Post-Recapitalization
Challenge: Managing internal employee expectations after external investment and a 70% company sale, especially when only a few partners received liquidity and employees may learn details through press releases.
Advice: Call it an “investment” rather than a “recap,” over-communicate key messages multiple times, and assume everyone will know the details quickly. Position the investor as bringing funds to acquire competitors, clearly explain how employees fit into the future, and be careful with promises around job security.
🎯 Building Target Account Lists Using AI Tools
Challenge: Starting from scratch to build North American target lists for a broadcast streaming SaaS company targeting CTOs and heads of engineering.
Advice: Use tools like Instantly, ListKit, Apollo, and Clay for faster list building. A more advanced approach is combining LinkedIn Sales Navigator with Wizza. At the expert level, use ChatGPT deep research to generate CSV files of 1,000-2,500 companies that match specific criteria, then import the domains into prospecting platforms.
💬 Jumpstarting Community Engagement
Challenge: A community of 250 technology leaders lacks active engagement despite having several paid ambassadors. The ambassadors are senior executives but not necessarily natural relationship builders.
Advice: Add Slack and WhatsApp groups because they fit into daily workflows better than standalone community platforms. Have ambassadors post relevant content consistently, systematically invite target CIOs and CTOs, and consider charging $47/month to increase perceived value and filter for serious members.
🔎 Recovering SEO Traffic After Google Algorithm Changes
Challenge: Organic search traffic has dropped significantly since September 2025 due to Google algorithm changes and AI snippets, with over 50% of traffic previously coming from SEO.
Advice: Focus on high-quality, specific content written for clear audiences and niches. This helps both traditional SEO and AI search. Add LD+JSON structured data beyond FAQ sections.
🧑💻 Improving AI-Generated Code Quality
Challenge: Development teams are producing features quickly with AI, but quirky bugs are showing up in final code reviews.
Advice: Use the strongest available coding models, run an AI Coding Readiness Audit to assess CI/CD and automated testing practices, and feed bugs back into AI to create a useful feedback loop.
Best Advice
Focus on outcomes over activity. AI can dramatically speed up execution, but without clear goals, domain expertise, and accountability, increased productivity can become noise instead of progress. Always reverse-engineer from the desired outcome and make sure someone with contextual knowledge manages the AI implementation.
After a recapitalization or investment event, over-communication is critical. Important messages should be repeated several times because information gets distorted as it moves through management layers. Assume employees will eventually learn the details, and proactively explain what the investment means, how they fit into the plan, and what they can realistically expect.
For community building, engagement matters more than total membership. A group of 250 signups may only have 25 truly active members, so the focus should be on creating daily workflow touchpoints, activating ambassadors, and making participation feel valuable enough that people are willing to pay.
Recommended Tools
Hiring & SDR Support
- Roocruit
List Building & Prospecting
- Instantly
- ListKit
- Apollo
- Clay
- LinkedIn Sales Navigator
- Wizza
- ChatGPT deep research
- GraphIQ
Community Engagement
- Slack
- WhatsApp groups
- Mighty Networks
- Matched audience ads
SEO & Technical
- LD+JSON structured data
AI Development & Coding
- ChatGPT
- Claude
- Gemini
- Claude Opus 4.7
- ChatGPT Codex
- AI Coding Readiness Audit prompt
