SaaS Segment Pivot Matrix & Economics Simulator

Operating Presets Source Baseline

Quick-load archetypes based on the r/buildinpublic case study:

1. Current Traction (Hybrid Observed)

3k visitors, 100 conversions split between solo pilots & early agency pull.

2. Follow Agency Pull (High ACV)

Pivot completely to $349/mo agencies. Granular control cockpit.

3. Double Down Solo Autopilot

Self-driving hands-off SEO at $29/mo for solo founders. Minimal touch.

Funnel & Traffic Baseline

Monthly Dogfood Uniques: 3,000

Overall Conversion Rate: 3.3%

Agency Traffic Split: 25% Agency

Remainder goes to Solo Founder tier.

Founder Constraints

Weekly Bandwidth: 40 hrs/wk

Projected Run-rate ARR

$131.6k

Based on active cohort

New Customers / Mo

100

75 Solo / 25 Agency

Founder Capacity Used

68%

106 hrs/mo on ops

Blended Monthly Churn

3.9%

Weighted across tiers

12-Month Net Revenue Trajectory Comparing Cohort Realization

Segment Unit Economics Matrix

Comparing customer profiles across price elasticity, onboarding burden, and retention:

              Solo Founders (Original Thesis)
              Autopilot / Self-Driving
            
                Monthly ACV:
                $29 / mo
              
                Monthly Churn:
                8.0%
              
                Onboarding Overhead:
                0.25 hrs / cust
              
                Support Overhead:
                0.3 tickets / mo
              
                Core Customer Value:
                Zero-touch automation
              
                Competitive Risk:
                Low (Ignored by enterprise)

              Agencies & Mid-Market
              Granular Control Cockpit
            
                Monthly ACV:
                $349 / mo
              
                Monthly Churn:
                2.5%
              
                Onboarding Overhead:
                3.50 hrs / cust
              
                Support Overhead:
                2.1 tickets / mo
              
                Core Customer Value:
                Multi-client diffing & reporting
              
                Competitive Risk:
                High (Incumbents entrenched)

Product Philosophy: "Manual Car vs Self-Driving Car"

Check the capabilities you are committed to building. Notice the cumulative engineering & customer success load:

AEO Citation Tracker (Autopilot) Solo favorite • Zero maintenance

Automated AI Schema Injector Solo favorite • Low touch

Multi-Client Agency Workspace Agency required • High permissions overhead

White-Label Client PDF Digests Agency required • Design maintenance

Granular Prompt Diffing Workbench Manual power tool • High support demand

Custom Webhooks & REST API Mid-Market • SLA maintenance

💡 Strategic Positioning Verdict

Analyzing operational fit and market posture...