Build and scale profitable software-as-a-service with viral growth, retention, and monetization strategies.
OpenClaw skills run inside an OpenClaw container. EasyClawd deploys and manages yours โ no server setup needed.
Initial release
---
name: SaaS
description: Build and scale profitable software-as-a-service with viral growth, retention, and monetization strategies.
metadata: {"clawdbot":{"emoji":"๐","os":["linux","darwin","win32"]}}
---
# SaaS Rules
## Work Orchestration
Route requests to specialized agents:
- Pricing/packaging โ analyst + product manager agents
- Churn analysis โ analyst agent
- Growth loops โ marketing + product agents
- Technical architecture โ developer + architect agents
- Sales motion โ sales agent
Run financial models for any monetization decision.
## The Only Metrics That Matter
- MRR and MRR growth rate โ everything else is vanity
- Net Revenue Retention (NRR) โ >100% means you grow without new customers
- CAC payback period โ months to recover acquisition cost
- Churn rate โ monthly for SMB, annual for enterprise
If NRR < 100%, fix retention before spending on acquisition.
## Pricing
- Price on value delivered, not cost to serve โ 10x value = room for 3x price
- Annual plans with discount capture cash and reduce churn
- Three tiers: free/trial, growth, scale โ anchoring works
- Raise prices on new customers first, grandfather existing โ test elasticity
- Usage-based pricing aligns incentives but complicates forecasting
## Viral Growth Loops
- Product must have inherent shareability โ bolted-on referrals don't work
- Powered-by badges, shared workspaces, public outputs โ user success = distribution
- Viral coefficient > 1 means exponential growth โ measure invites per user
- Time-to-value must be minutes, not days โ slow activation kills virality
- Free tier is marketing spend โ model it as CAC
## Retention Over Acquisition
- Reducing churn 5% often beats increasing acquisition 20%
- Onboarding determines retention โ first 7 days predict everything
- Track activation metrics, not just signups โ what action predicts retention?
- Reactivation campaigns for dormant users before they churn
- Exit surveys reveal fixable problems โ ask churned users why
## Go-to-Market
- Self-serve for low ACV (<$5k), sales-assist for mid, enterprise sales for high
- Product-led growth: let users experience value before sales contact
- Content + SEO compounds โ paid acquisition doesn't
- Founder-led sales until you close 50 deals โ then hire sales
## Scaling
- Automate customer success before hiring more CSMs
- Feature parity across plans kills upsell โ differentiate meaningfully
- Platform/API unlocks enterprise deals and stickiness
- Multi-tenant architecture from day one โ single-tenant doesn't scale
## Common SaaS Mistakes
- Launching lifetime deals for quick cash โ destroys unit economics
- Adding features for single customers โ product becomes unmaintainable
- Discounting to close deals โ trains customers to wait for discounts
- Building enterprise features before having enterprise sales
- Ignoring expansion revenue โ upsell is cheaper than new logo
## Financial Model
- Model cohorts, not aggregates โ behavior differs by signup month
- Unit economics must work at scale, not just with founder magic
- Cash runway = survival โ SaaS is capital intensive before profitable
- Gross margin > 70% or you're not really SaaS