AI Growth Stack Model (AGSM): AGSM for Agency Client Stack Design
Using AGSM to design standardized AI stack recommendations for agency clients at different tiers.
How to Apply
Tier 1 (small business): Foundation + Execution. Tier 2 (mid-market): Foundation + Execution + Optimization. Tier 3 (enterprise): All four layers.
Curate 2-3 recommended tools per layer per tier. Test and validate each recommendation with pilot clients.
Build step-by-step deployment guides for each tier. Include expected timelines and success metrics per layer.
Use the standardized stacks to onboard new clients faster. Junior team members can deploy Tier 1 stacks independently.
Expected Outcomes
- ✓ Standardized service delivery
- ✓ Faster client onboarding
- ✓ Scalable revenue through tiered pricing
Real-World Examples
Common Pitfalls
Ehsan's Insight
Growth agencies waste enormous time on custom tool recommendations for every client. AGSM eliminates this by creating tiered stack architectures that work for 80% of clients in each tier. I helped one agency design three tiers. Tier 1: GA4 + one writing tool ($49/month client cost, $2K agency fee). Tier 2: adds a personalization engine and testing tool ($300/month client cost, $8K agency fee). Tier 3: adds AI agents and automation ($1,200/month client cost, $25K agency fee). The key insight was natural upsell: clients who saw Foundation Layer results in Tier 1 asked for Tier 2 within 90 days. The agency did not need to sell the upgrade. The data made the case. AGSM-based tiering increased that agency revenue 180% in 12 months because they could onboard clients faster and upsell them predictably.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council