Client Types — Variations by Business Model
The 13-section plan structure stays consistent across client types. What changes is the content emphasis within each section. This doc names the dominant patterns by client archetype.
Archetype 1 — B2B SaaS
Core characteristics
- Subscription revenue
- Often higher ACV ($1K–$100K+ per year)
- Sales-assisted or self-serve depending on tier
- Buyer often different from user (champion vs. end-user)
AARRR emphasis
Acquisition heavy:
- SEO is the dominant top-of-funnel motion (people search for solutions)
- Content marketing (blog, knowledge base, comparison pages) drives MQLs
- LinkedIn for both organic founder presence and paid
- Outbound (cold email + LinkedIn) often complements inbound
- Events (conferences, webinars) for high-ACV products
Activation:
- Signup → trial → first key action (PLG products)
- Trial → demo → POC (sales-led products)
- Empty states matter — guide users to first value action
Retention:
- Product engagement metrics (DAU, feature adoption)
- Customer success motion (CSM team for higher ACV)
- Lifecycle emails focused on feature discovery, value moments
Referral:
- Customer advocacy programs
- Partner / integration co-marketing
- G2 / Capterra reviews
- Champion-to-buyer expansion
Revenue:
- Expansion / NRR is often the biggest growth lever
- Tier upgrades, seat expansion, usage-based add-ons
Skills emphasis
cold-email,programmatic-seo,competitors,seo-audit,ai-seoadsweighted toward LinkedIn + Googleemailsfor trial nurture + lifecyclepricingfor tier optimization
Tier-1 budget priority
- SEO + content > everything else
- Founder-led LinkedIn channel
- Customer.io / Mailchimp for nurture
- HARO + investor backchannel for PR
Archetype 2 — D2C Consumer App (Subscription)
Core characteristics
- Lower ACV ($5–$30/mo typically)
- High volume, lower margin per user
- App Store / Play Store as the primary acquisition surface
- Lifecycle email + push for retention
- Often paid-acquisition-driven once budget unlocks
AARRR emphasis
Acquisition:
- App Store Optimization (ASO) is the highest-leverage non-site asset
- Paid social (Meta, TikTok) often dominant once budget exists
- Apple Search Ads for high-intent App Store traffic
- Influencer + content creators
- PR + endorsements
Activation:
- Onboarding is the dominant activation surface
- Time-to-value must be minutes, not hours
- Paywall structure + trial length critical
Retention:
- Lifecycle email + push
- In-app reminders (carefully — overuse = churn)
- Subscription preference center
- Win-back campaigns
Referral:
- Built-in sharing (share-a-month flow)
- Two-sided referrals
- Influencer / creator ambassadors
Revenue:
- Annual plan default is the biggest single move (compresses MRR but improves LTV)
- Tier optimization (Free → Premium → Premium+)
- In-app upsells
Skills emphasis
onboarding,paywalls,emailsads,ad-creative(heavy creative iteration)referralspricingfor annual default + tier consolidation
Tier-1 budget priority
- ASO first (highest organic leverage)
- Onboarding rebuild
- Lifecycle email shipping
- Founder-led social if founder is on-camera
Archetype 3 — Hybrid Hardware + Software
Core characteristics
- Physical product + software companion (e.g., Quietude's eye mask + app)
- Hardware as a distribution wedge (lower price, easier first purchase)
- Software as the LTV (recurring revenue)
- Blended CAC across both surfaces
AARRR emphasis
Acquisition:
- Shopify storefront SEO (hardware product pages target consumer search)
- Amazon listing (high-discovery, takes margin)
- PR amplification (hardware is photogenic — high-profile influencer endorsements move volume)
- Paid social for hardware (Meta + Instagram, eye-catching creative)
Activation:
- Two activations to track: hardware unboxing experience + software signup
- Hardware → software activation flow is the bridge
- Concierge setup for high-value hardware buyers
Retention:
- Hardware post-purchase lifecycle (different from app onboarding)
- Software companion drives stickiness
- Community / practitioner network around hardware
Referral:
- Hardware gifting flows (high WOM for physical products)
- Eye-catching hardware drives organic social sharing
- Reviews on Shopify + Amazon
Revenue:
- Blended LTV math is critical (hardware margin + software recurring)
- Bundle strategy (hardware buy → free Premium for X months)
- Annual plan default for software
Skills emphasis
seo-auditfor Shopify product pagesemailsfor both hardware post-purchase and software lifecyclereferralswith gifting layerpricingfor blended-bundle mathadswith creative-heavy Meta presence
Tier-1 budget priority
- Shopify product page optimization
- Hardware post-purchase lifecycle ship
- Bundle strategy formalization
- Hardware → app activation audit
Archetype 4 — Marketplace
Core characteristics
- Two-sided product (supply + demand)
- Network effects matter
- Liquidity is the critical early metric
- Take-rate × GMV is the revenue model
AARRR emphasis
Acquisition:
- Two funnels — supply and demand
- Supply often acquired through outbound / partnership / cold email
- Demand often acquired through SEO / paid / content
- City-by-city programmatic SEO common
Activation:
- Supply activation: first listing posted, first response sent
- Demand activation: first purchase / first match / first transaction
- Both sides need their own onboarding
Retention:
- Repeat transaction frequency
- Supply utilization (% of listings active)
- Demand habit (DAU / MAU)
Referral:
- Supply → supply (refer other providers)
- Demand → demand (refer other buyers)
- Cross-side referrals are weaker
Revenue:
- Take-rate optimization
- Premium tier (better matching, lower fees)
- Lead-gen vs. transaction-fee monetization
Skills emphasis
programmatic-seofor city pages, vertical pagescold-emailfor supply-side recruitmentreferralsfor both sidespricingfor take-rate decisions
Tier-1 budget priority
- Programmatic SEO build for one side
- Cold outbound to seed supply (or demand, whichever is bottleneck)
- Lifecycle email for both sides
Archetype 5 — Developer Tool / Open Source
Core characteristics
- Technical buyer (developer or eng leader)
- High bar for content quality (developers are skeptical)
- DevRel matters more than traditional marketing
- Open source layer often funnel into commercial product
AARRR emphasis
Acquisition:
- Technical content + docs SEO
- DevRel (conferences, talks, community)
- GitHub presence + npm/pip/etc. discovery
- Hacker News + Reddit + dev Twitter
Activation:
- First build / first integration is the activation event
- Time-to-Hello-World matters
- Documentation = onboarding for dev tools
Retention:
- Depth of integration (using more of the product)
- Team adoption (one user → entire org)
- Active project count
Referral:
- Star count on GitHub (semi-organic)
- Recommendation in technical forums
- Conference talks mentioning the tool
Revenue:
- Free → paid conversion when usage exceeds limits
- Team plans, enterprise tiers
- Support / SLA upsells
Skills emphasis
programmatic-seofor docs- Less emphasis on traditional
ads - Heavy
content-strategy+ technical content cold-emailto engineering leads at target companies
Tier-1 budget priority
- Docs + technical content production
- DevRel (founder doing talks)
- GitHub presence
- HN / Reddit / dev community
Archetype 6 — Deep-Tech / Scientific / Clinical
Core characteristics
- Long sales cycles
- Heavy credibility burden (must prove the science)
- Highly informed buyers (academics, clinicians, researchers)
- Often regulatory considerations
AARRR emphasis
Acquisition:
- Academic publishing + peer-reviewed studies
- Conference speaking (academic + industry)
- Investor / advisor introductions
- PR via credibility hooks
Activation:
- Pilot programs / proof-of-concepts
- Concierge setup with high-touch onboarding
- Educational webinars / training
Retention:
- Customer success heavily
- Co-publication with customers
- Community of practice
Referral:
- Academic / clinical references
- Conference panel features
- Case studies with named institutions
Revenue:
- Pilot → paid expansion
- Institutional contracts (multi-seat / multi-year)
- Compliance / certification upsells
Skills emphasis
- Light traditional marketing
- Heavy
product-marketing,sales-enablement,pricing cold-emailto specific researchers / practitioners- PR + investor marketing
Tier-1 budget priority
- Academic outreach + conference speaking
- Investor backchannel for institutional warm intros
- Pilot deployment with key customers
- Case study + scientific publication
Archetype 7 — Commerce / DTC (non-subscription)
Core characteristics
- Physical or digital products sold transactionally
- Average Order Value matters
- Repeat purchase rate is the key retention metric
AARRR emphasis
Acquisition:
- Paid social (Meta, TikTok) often dominant
- Shopify SEO for product pages
- Amazon listings
- Influencer + creator partnerships
Activation:
- First purchase is the activation event
- Cart abandonment recovery
- Trust signals on checkout (reviews, returns, shipping)
Retention:
- Post-purchase lifecycle
- Loyalty programs
- Email + SMS for repeat purchase
Referral:
- Gifting flows
- Refer-a-friend programs
- Reviews + UGC
Revenue:
- AOV optimization (bundles, upsells)
- Customer LTV optimization (repeat purchase frequency)
- Subscription option for repeat purchases
Skills emphasis
ads+ad-creative(heavy weight)emailsfor post-purchase + abandoned cartreferralswith giftingpricingfor bundles + subscription option
Tier-1 budget priority
- Shopify storefront optimization
- Email lifecycle ship
- Influencer / UGC seeding
- Paid social testing (if minimal budget exists)
How to use this doc when drafting a plan
When you start drafting Sections 4–8 (AARRR), identify the client's archetype (or hybrid if applicable) and lean into the patterns above.
Hybrid cases are common. Quietude is "Hybrid hardware + software" with significant overlap to "Deep-tech / scientific / clinical" (because of the peer-reviewed study + clinical positioning). The plan blends emphases from both archetypes.
When in doubt, lead with the archetype that best fits the primary monetization model. Quietude's primary monetization is software subscription (with hardware as the wedge), so the D2C consumer app + hardware-hybrid patterns dominate, with deep-tech credibility moves layered in.
When the client doesn't fit cleanly
Some clients defy archetype:
- Content / media businesses — neither SaaS nor commerce; ad revenue or subscription model
- Social networks — own category, network effects dominate
- Real estate / events — physical + service model
For these, identify the closest archetype and adjust. Don't force-fit — name the deviation in the plan's Strategic Frame.