SaasRise Mastermind Recap - July 29, 2026

🎯 Topic: Running Targeted Ads to a Small ABM List

Challenges: A member had gleaned ~500 engaged contacts from an ABM list (blog clickers who weren't replying to email) and wanted to serve them ads on Meta and LinkedIn, with control over how often each person sees an ad.

Advice: 500 is workable on LinkedIn — the platform minimum is 300 accounts, and with first name, last name, company name and company email the match rate is typically 90%+. Meta needs at least 1,000, but list size matters less than match rate, which on Meta runs closer to 30%; aim for 3,000–4,000 uploaded records to get a usable audience. Stack audiences rather than relying on one list — existing customers, conference attendees, website retargeting pools. Frequency is controlled through budget: work backwards from CPM (roughly $20–60 per 1,000 impressions on Meta), so for a 1,000-person list at a $20 CPM, ~$20/day buys about one impression per person per day. Then monitor the frequency metric in Ads Manager and adjust spend up or down. Both platforms throttle repetitive creative — with very small audiences, Meta will refuse to spend the full budget if the ads go stale. Having 10 ads in rotation helps, but refresh creative every month or two regardless. Also noted: email campaigns linking to a personal LinkedIn profile were pulling more clicks than links to the company site — normal behavior, since people respond to people more readily than to brands unless the brand is a household name.

🛠️ Topic: Building ABM Lists from LinkedIn

Challenges: Sales Navigator caps exports, making list building slow and repetitive. The member wanted a service or tool to do it at scale.

Advice: Self-serve extraction tools can pull up to 2,500 records at a time from Sales Navigator. For done-for-you list building, the same data brokers who run cold email services generally offer it — worth checking whether a provider you've already used still does.

🤖 Topic: AI Tools for Managing Paid Ads

Challenges: A member wanted to know whether anyone was using AI for Google Ads keyword discovery and optimization.

Advice: The current crop of tools splits into two categories — general LLM-plus-connector tools that are strong at analysis (reporting, keyword research, spotting trends the eye misses) versus tools purpose-built for ads management. Nothing on the call was Google-specific yet; the management-focused option is Meta-only today with Google support said to be weeks out.

📣 Topic: What Acquisition Channels Are Working Now

Challenges: One member had relied heavily on SEO and is seeing that traffic decline, partially offset by AI-referred traffic. Another has grown almost entirely on unattributed word of mouth and is experimenting with outsourced outbound. Both wanted to know what's actually working today.

Advice: Tactically, less has changed than people assume. Meta remains a consistent performer, especially retargeting — many placements and formats make it easy to become omnipresent once someone has visited your site. LinkedIn works if your buyers live there but is the most expensive channel; LinkedIn message ads (~$0.50 per message sent) are producing demos for some advertisers, and work better on practitioners than on C-suite targets. Google search performs well as long as your industry terms aren't co-mingled with unrelated verticals, and Google display retargeting also holds up. Cold email is meaningfully weaker than it was a year or two ago — inboxes are crowded with increasingly sophisticated sequences. It still functions as a touchpoint that drives site visits and brand familiarity, but it is no longer the sales generator it was. Deal cycles are stretching, likely economy-driven, and expansion within the existing customer base is where several members are finding growth. On attribution: the higher your price point, the messier the tracking. Buyer journeys are now multi-touch across commingled channels rather than click-to-lead-to-sale. Run the big four consistently (LinkedIn, Meta, Google, Bing), then evaluate zoomed out — establish a 12-month baseline before launching, and measure the change in overall business volume rather than hyper-analyzing per-channel attribution. A formal referral program launched by one member has had zero signups even with payouts offered, while organic referrals continue unchanged — worth noting before assuming a program will amplify what's already working.

💰 Topic: Setting an Ads Budget with No Ads History

Challenges: A member with ~$1.5M ARR, a ~$300/month starting price (~$3,500–4,000 annual per client), very low churn and a 30-day trial converting in ~60 days had never run meaningful paid media and had no idea what to budget or how to brief an agency.

Advice: A self-serve-plus-demo product at this price point is one of the easier cases to track — the journey is far more linear than for high-ticket demo-only sales, so channel-level attribution should actually work. Start by deriving target CAC from unit economics (the SaaSRise unit economics template is in the back office), then reverse-engineer an allowable cost per lead: if target CAC is $1,000 and one in ten leads converts, leads need to cost about $100. Expect ad-sourced leads to convert below referral-sourced leads, so build in cushion. Budget expectation: roughly $5K/month for a competent agency plus a minimum of ~$5K/month in ad spend — call it $10K/month to run a genuine test, testing Meta, LinkedIn and Google with a couple thousand dollars each. Timeline: expect leads within a few weeks, and a fair read on which channels work within 90 days. Note that a thorough agency spends the first month on tracking infrastructure and target-list building before ads go live in earnest, which pushes real results toward month three. Once channels are producing at acceptable CAC and payback, it's purely a scaling exercise — increase budget ~10–20% per month as cash allows. Every business has a point of diminishing returns where CAC climbs as you exhaust the addressable pool. Hardest part is finding an agency that thinks in SaaS unit economics rather than ad-platform metrics; interview for it explicitly and define what success looks like up front.

🔍 Topic: LinkedIn Posting Cadence

Challenges: How often should a founder post, and is a numbered series format worth it?

Advice: Several times a week is fine; once a week is the floor. There's little risk of overposting short of five times a day. Ghostwriting is common and unremarkable at CEO level — two of the founders on the call don't write their own posts, and one has delegated inbox management as well.

📈 Topic: Price Increase for Existing Users

Challenges: Whether to apply full new pricing to all existing customers ($225–250K MRR uplift) or offer a loyalty discount ($125K MRR uplift) to reduce churn risk, with a 20–30% average increase.

Advice: Test new pricing with new customers first before rolling out to existing ones. If offering a loyalty discount, require something in return (e.g., a referral or 5-star review). Use the pricing event as an opportunity to convert monthly customers to annual plans, and consider offering exclusive incentives such as extra usage credits for a limited window. Consider baking in smaller annual increases going forward to avoid large one-time jumps. Break-even churn on full new pricing was ~23%, making the risk more manageable than it feels.

💵 Topic: Accelerator Decision (EWAR vs. Y Combinator)

Challenges: Accepted into a European accelerator (EWAR) offering 3% equity for no funding, plus an option to invest €65K at a €1M valuation — terms considered unfavorable.

Advice: Wait up to 60 days for YC results (expected by September 1) before committing. Since EWAR accepts on a rolling basis, deferring is likely possible. Start from the desired end goal (product company, US residency) and work backwards to inform the decision.

🤝 Topic: Scaling Relationships with High-Value Prospects

Challenges: Personally maintaining deep relationships with 30+ prospects and clients at the CEO level is mentally draining and not scalable.

Advice: Hire a salesperson or customer success manager to handle routine touchpoints. Use an executive assistant to manage communications in your voice — an EA who speaks in your voice can dramatically reduce the relationship load. Categorize clients by profit and maintenance level (four quadrants: high/low profit × high/low maintenance); deprioritize or exit high-maintenance, low-profit accounts. Pass on your thinking, not just your tasks — that's what keeps clients loyal to you personally rather than to the team.

👥 Topic: Using Contractor AEs for Sales

Challenges: Building a scalable, part-time contractor AE model with round-robin lead distribution, while structuring fair performance-based compensation.

Advice: Prioritize financially motivated candidates; consider personality/motivation assessments. Build a sales playbook and clear structure before onboarding contractors, as ramp-ups without structure tend to fail. Contractor commission benchmarks: ~15–25% of first-year revenue when no salary or benefits are provided. Explore whether automation and AI-driven lead gen can handle pipeline-building, so your AEs only need to close.

Tools Recommended

AI & Automation

• Get Victor
• Ask Rocco
• Patricia
• Claude

Outbound & Lead Generation

• LinkedIn Sales Navigator
• Evaboot
• Apollo
• Brookroad

Analytics & Dashboards

• Plausible
• Google Analytics
• Hotjar
• Contentsquare

Marketing & Ads

• Google Display remarketing
• Facebook Ads

Other

• The Software of Science
• Alex Hormozi's Podcast
• Dan Sullivan's Unique Ability Framework
• Personality/Motivation Assessment Tests

Best Advice

Judge paid media on the whole business, not the channel report — establish a clean 12-month baseline before you launch, run the big four channels consistently, and measure the lift in total business volume, because hyper-analyzing single-channel attribution will lead you to kill campaigns that are working. Derive your ad budget from unit economics rather than a percentage of revenue: calculate target CAC first, reverse-engineer an allowable cost per lead from your actual conversion rate, then budget ~$10K/month for a real 90-day test. On small matched audiences, match rate beats list size and creative freshness beats budget, so refresh creative every month or two or the platforms will throttle delivery no matter what you're willing to spend. And on the operating side, build structure before you add people — a sales playbook before contractor AEs, a client profit-versus-maintenance grid before you scale relationships, and something in return whenever you hand out a loyalty discount.