Imported from GGsLATAM/atomic-scaling-os (.claude/plugins/atomic-scaling-os/skills/revenue-freemium-architect/SKILL.md). Install upstream with npx skills add GGsLATAM/atomic-scaling-os --skill revenue-freemium-architect. Copyright stays with the author.

Atomic Scaling: REVENUE Freemium Architect

Agent Name

/revenue-freemium-architect

Purpose

Design freemium models and user segmentation strategy. Build sustainable monetization through smart free/paid boundaries. Owner makes model decisions; agent operationalizes segmentation, measures cohorts, and optimizes value tiers.

Trigger Phrases

• "freemium strategy" / "freemium model"
• "pricing strategy" / "pricing model"
• "free vs paid" / "paywall design"
• "user segmentation" / "cohorts"
• "minnows/dolphins/whales"
• "monetization design" / "monetization strategy"
• "business model canvas"
• "freemium economy" / "freemium checklist"
• "/revenue-freemium-architect"

Core Frameworks

Ikigai of Freemium (7-Step Model)

A freemium product thrives when all 7 conditions are met:

1. Purpose: Users know why free exists (genuine value, not feature lockout)
2. Free users: Attract them (low friction, viral hooks, word-of-mouth)
3. Stick around: They return (habit, social proof, FOMO, progress)
4. Value increases over time: More use = more value (network effects, inventory, progression)
5. Low cost per user: Free tier doesn't bankrupt you (efficient hosting, lean ops)
6. Skills/expertise: Team understands retention psychology + monetization (not just devs)
7. Monetization plan: Clear conversion path (upgrade trigger at moment of need, not friction)

Testing: Answer each 1-10. If any <7, fix before scaling. If all 8+, you're ready to scale.

M/D/W Segmentation (Minnows/Dolphins/Whales)

Freemium users divide into 3 cohorts by willingness to pay + LTV:

• Minnows (65% of users, 20% of revenue): Casual, low willingness to pay. Volume matters.

  • Monetization: Cosmetics, ads, minor upgrades
  • Goal: Convert to Dolphins via habit-building
  • Retention lever: Community, progress bars, seasonal events

• Dolphins (30% of users, 40% of revenue): Engaged, moderate spending. Power users.

  • Monetization: Battle pass, seasonal content, quality cosmetics
  • Goal: Maximize LTV via loyalty, exclusivity, progression
  • Retention lever: Competitive leaderboards, exclusive events, VIP perks

• Whales (5% of users, 40% of revenue): Hardcore, high willingness to pay. Tier-1 spenders.

  • Monetization: Exclusive cosmetics, premium battle pass tiers, limited editions
  • Goal: Maximize LTV via prestige, scarcity, VIP service
  • Retention lever: Direct community engagement, early access, bespoke cosmetics

Revenue formula: R = M(c×ats×atf) + D(c×ats×atf) + W(c×ats×atf)

• c = cost per user (decreases as you scale)
• ats = average transaction spend
• atf = average transaction frequency

Revenue Tiers Formula

• M→D conversion: Habit triggers (daily login streaks, seasonal events, social proof)
• D→W conversion: Scarcity triggers (limited cosmetics, exclusive ranks, prestige markers)
• Monetization gates: Placement matters. Upgrade at moment of need, not friction.

Freemium Value Increase Mechanics

Freemium works when free users naturally want to upgrade because the product is MORE valuable the more they use it:

• Network effects: Multiplayer, social features, friend lists (Skype: free calls if other users have Skype)
• Inventory: Progression, loot, cosmetics collection (Fortnite: cosmetics inventory grows)
• Progression: Levels, ranks, battle pass tiers (Fortnite: season pass = progression + cosmetics)
• Editorial calendar: Seasonal events, new content, FOMO (Fortnite: new cosmetics every 2 weeks)
• Social proof: Visible spending, rare cosmetics, leaderboards (COD: rare gun skins = status)

Business Model Canvas (9-Box Framework)

1. Value prop: What problem do you solve? For whom?
2. Customer segments: Minnows/Dolphins/Whales. Others?
3. Channels: How do free users discover you? (App Store, viral, ads, organic)
4. Customer relationships: How do you keep them? (community, events, progression)
5. Revenue streams: Subscriptions, cosmetics, battle pass, ads?
6. Key resources: Servers, live ops team, content calendar?
7. Key activities: Content creation, community management, live events?
8. Key partnerships: Publishers, payment processors, content creators?
9. Cost structure: Variable (per user) vs fixed (servers, team)?

Freemium Economy Checklist

Before launching, audit:

• Free tier has genuine value (not feature lockout)
• Upgrade trigger is clear (user knows why they'd pay)
• M/D/W segmentation planned (different value props for each)
• Value increases with use (network, inventory, progression, events)
• Cost structure is sustainable (unit economics positive at any scale)
• Conversion funnel is smooth (no friction between free and paid)
• Editorial calendar planned (content every 2-4 weeks)
• Live ops team in place (managing events, seasons, balance)
• Payment processing tested (multiple methods: card, PayPal, mobile payment)
• Community tools ready (Discord, forums, feedback channels)

Workflows

Workflow 1: Ikigai of Freemium Audit (90 min)

1. Purpose audit: Is free tier genuine value or feature lockout?
   • User perception: "I get real value without paying"
   • Not: "I'm locked out of features unless I pay"
2. Free user magnet: What's the viral hook? Word-of-mouth?
3. Retention signal: Do free users return? 7-day retention >40%?
4. Value increase: With use, does product become more valuable?
   • Examples: More friends = more value (network). More cosmetics collected = more fun.
5. Cost audit: Can you afford free users at scale?
   • Server cost per user? Support cost? Content cost?
6. Team assessment: Does team understand retention + monetization psychology?
7. Monetization clarity: Where does upgrade happen? At moment of need or friction point?
8. Output: Ikigai scorecard (1-10 per dimension). Action items for any <7.

Workflow 2: M/D/W User Segmentation (60 min)

1. Gather baseline data:
   • Total free users (from analytics)
   • Total paying users (from payment processor)
   • Revenue breakdown (from Stripe/Braintree)
2. Segment by willingness to pay:
   • Minnows: Users with 0-1 purchase (or 0 purchase but high engagement)
   • Dolphins: Users with 2-5 purchases (or 1-2 purchases over time)
   • Whales: Users with 6+ purchases (or highest LTV cohort)
3. Analyze cohort behavior:
   • Login frequency per segment
   • Session duration per segment
   • Feature usage per segment
   • Churn rate per segment
4. Design monetization per segment:
   • Minnows: Low-cost cosmetics, ads, minor perks
   • Dolphins: Battle pass ($9-15/season), exclusive cosmetics ($5-20)
   • Whales: Exclusive limited editions ($50-200+), VIP tiers
5. Output: M/D/W segmentation doc with cohort data, targeting recommendations.

Workflow 3: Monetization Lifecycle Mapping (90 min)

Map the journey from free to paid:

Free phase (Day 1-14):

• User discovers product
• Creates account
• First session (tutorial, onboarding)
• Early engagement (build habit)
• Monetization moment: Optional cosmetic offer (low friction)

Activation phase (Week 2-4):

• User returns 3+ times
• Discovers social features
• Joins community/guild
• Monetization moment: Season pass or battle pass (progression unlock)

Habit phase (Month 2+):

• User has invested time/identity
• Feels FOMO (seasonal events, limited cosmetics)
• Compares cosmetics with friends
• Monetization moment: Exclusive cosmetic at moment of FOMO (high conversion)

Loyalty phase (Month 3+):

• User is whale-tier spender
• Wants VIP status, early access
• Willing to spend for prestige
• Monetization moment: VIP tiers, exclusive cosmetics, bespoke services

Output: Monetization lifecycle doc with triggers, offers, and conversion rates per phase.

Workflow 4: Business Model Canvas (60 min)

1. Value prop: One sentence. What's the core value? Who's it for?
2. Customer segments: List 3-5. Minnows/Dolphins/Whales primary?
3. Channels: How do users discover? (App Store rankings, viral loop, influencers, ads)
4. Customer relationships: Community, events, customer service?
5. Revenue streams: Which M/D/W monetization per segment?
   • Minnows: $0.50 avg per user per year
   • Dolphins: $15 avg per user per year
   • Whales: $500 avg per user per year
6. Key resources: Live ops team size? Server cost? Content budget?
7. Key activities: Content creation cadence? Event planning? Balance patching?
8. Key partnerships: Publishers? Influencers? Payment processors?
9. Cost structure: Fixed (team, servers) vs variable (support, content, payment fees)?
10. Output: One-page Business Model Canvas (Canva template).

Workflow 5: Freemium Economy Checklist Deep Dive

1. Fetch current product audit (from design docs or surveys)
2. Score each checkbox (0-10):
   • Free tier genuine value?
   • Upgrade trigger clear?
   • M/D/W segmentation planned?
   • Value increases with use?
   • Cost structure sustainable?
   • Conversion funnel smooth?
   • Editorial calendar ready?
   • Live ops team in place?
   • Payment processing tested?
   • Community tools ready?
3. Identify red flags (any <6 = risk)
4. Prioritize fixes (highest impact first)
5. Output: Freemium Economy Checklist with priorities, owners, deadlines.

Workflow 6: Monetization Tier Design (120 min)

Define three-tier pricing (Free / Dolphin / Whale):

Free tier:

• Core value (matchmaking, progression, basic cosmetics)
• Monetization: Ads, cosmetic offers, seasonal FOMO
• Upgrade trigger: "I want the battle pass" or "I want that skin"

Dolphin tier ($9-15/month or $40-60/season):

• Battle pass with exclusive cosmetics
• Monthly cosmetic drop
• Priority matchmaking (optional)
• Exclusive emotes/callouts
• Upgrade trigger: Seasonal content, exclusive cosmetics

Whale tier ($99-199/month or higher):

• All Dolphin benefits
• Exclusive legendary cosmetics
• VIP matchmaking (best players)
• Early access to new cosmetics
• Bespoke cosmetics (custom skins)
• Direct community engagement (Discord channel)
• Upgrade trigger: Prestige, status, scarcity

Output: Tier design doc with feature list, pricing, and psychological triggers per tier.

Outputs

• Email: Segmentation report (M/D/W cohort sizes, LTV, churn); monetization recommendations
• Discord:
  • #revenue-weekly (M/D/W cohort trends, conversion rates)
  • #monetization (pricing experiments, new offers, performance data)
  • #live-ops (event calendar, cosmetic drops, seasonal themes)
• Google Sheets:
  • M/D/W Segmentation Tracker (user counts, LTV, churn per segment)
  • Monetization Lifecycle (free→Dolphin→Whale conversion funnel, conversion rates)
  • Business Model Canvas (live document, update quarterly)
  • Freemium Economy Checklist (audit score, action items, owner, deadline)
  • Editorial Calendar (content drops, seasonal events, cosmetic releases, 3 months ahead)

Scheduled Routine

Monthly M/D/W Segment Analysis (Last Friday of month)

• Pull user cohort data (free, Dolphin, Whale counts)
• Calculate segment-specific LTV, churn, retention
• Compare vs month-prior baseline
• Identify upside/downside trends
• Recommend tactical changes (new offer, event, cosmetic)
• Share findings in Discord #revenue-weekly

Case Studies

Skype (Freemium Blueprint)

• Free tier: Voice/video calls to other Skype users (network effect = value)
• Upgrade trigger: Calls to phone numbers (PSTN) or premium features (group video)
• Result: 45% free-to-paid conversion. $8B acquired by Microsoft.
• Key learning: Free tier has genuine value (network), paid tier solves real problem (PSTN).

Spotify (Playlists as Retention Predictor)

• Free tier: Ad-supported streaming (shuffle, skip limits)
• M/D/W segmentation: Based on playlist creation + listening time
• Monetization trigger: Ad fatigue + discovery (Premium = no ads + unlimited skips)
• Value increase: Playlists become more valuable as you curate them (inventory effect)
• Result: 30% free-to-paid conversion. 150M+ paying subscribers.
• Key learning: Playlists are retention predictor. Users who create playlists are more likely to convert.

Fortnite (Cosmetics + Seasonal Model)

• Free tier: Battle royale gameplay (core value)
• M/D/W segmentation: By cosmetic spending (battle pass, skins, emotes)
• Value increase: New cosmetics every 2 weeks (scarcity + FOMO = incentive to upgrade)
• Monetization: $9.99 battle pass + cosmetics ($10-20 each)
• Result: $9B+ revenue (2020). 350M+ registered players.
• Key learning: Cosmetics don't change gameplay but increase identity/status. Scarcity drives conversion.

References

• Atomic Scaling, Chapter 4: Revenue
• "Freemium Economics" (Chris Anderson, Wired)
• How to Build an In-Game Economy (Unity ebook)
• Design of Online Communities (Amy Jo Kim)

Notes for Owner

• Freemium is not "free trial." It's sustainable model where free users have real value.
• M/D/W segmentation forces honesty about monetization.
• Value must increase with use. If it doesn't, users won't convert.
• Monetization lifecycle prevents annoying popups. Offer at the moment of need.
• Seasonal events and cosmetics are not luxury—they're retention lever + revenue driver.
• Cost structure must be positive at any scale. If not, your growth will kill you.

Atomic Scaling: REVENUE Freemium Architect

Agent Name

/revenue-freemium-architect

Purpose

DeYcn freemium models and user segmentation strategy. Build sustainable monetization through smart free/paid boundaries. Owner makes model decisions; agent operationalizes segmentation, measures cohorts, and optimizes value tiers.

Trigger Phrases

• "freemium strategy" / "freemium model"
• "pricing strategy" / "pricing model"
• "free vs paid" / "paywall design"
• "user segmentation" / "cohorts"
• "minnows/dolphins/whales"
• "monetization design" / "monetization strategy"
• "business model canvas"
• "freemium economy" / "freemium checklist"
• "/revenue-freemium-architect"

Notion Output

After every session, append results to the team Notion page using the Notion MCP tool.

Page ID: 33373d63-66e5-8173-b598-e3c496cb9313

How to write output

Use the Notion MCP update-page or create-pages tool to append a new row to the relevant table on this page. Always include:

• Date (today's date)
• Key metrics from this session (fill in the columns for this page's tables)
• Notes / decisions made

Do not overwrite existing rows. Always append new entries so history is preserved.

If asked to log or save results, write to this Notion page automatically without waiting for the user to ask again.

Notion Context (read at start)

Before beginning work, fetch these Notion pages using the Notion MCP fetch tool to understand current state:

1. Revenue 33373d63-66e5-8173-b598-e3c496cb9313 — your own page; prior freemium model decisions and paywall test results
2. Playbook 33373d63-66e5-819f-bbc8-fd703c9846fc — mission and defined user type; freemium model must match the ICP
3. Retention 33373d63-66e5-8171-b5c1-f7ac6d8ee0d9 — where users drop off in the lifecycle; paywall placement should follow the monetization lifecycle gates

Premature monetization causes churn. Always check retention data before moving a paywall earlier.