PART 2 OF 4

Five initiatives. Sequenced. Two months.

Each one grounded in Reforge / a16z / Lenny / NAR research. Each one with a clear output.

STRATEGIC FRAMING

The thesis behind the five

Andrew Chen — General Partner at Andreessen Horowitz, former Uber growth lead — describes the Cold Start Problem as five stages: Cold Start, Tipping Point, Escape Velocity, Hitting the Ceiling, The Moat. Sphere of Six is squarely in Cold Start, but with an unusual asymmetry: the hard side of the marketplace (providers, realtors) already has a working playbook. The easy side (consumers) is what needs activation.

The five initiatives below sequence the activation. They're ordered so that initiative N creates inputs for initiative N+1. They're stack-ranked by sequencing logic, not by importance. Three are organic / zero-paid. Two are paid but localized.

THE FIVE

Initiatives in execution order

WEEKS 1-3 · ZERO PAID

In-product viral loop

Why this one

Every user acquired today should bring a second user tomorrow. Without this, every other initiative is leaky. Per Andrew Chen's Cold Start Problem and Reforge's growth-loops work: defensible products grow by loops (outputs of one cycle become inputs of the next) rather than funnels, which require constant external inputs. Sphere of Six is a literal social loop by design — satisfied user → recommends → brings new user → satisfied → recommends. We just need to instrument it.

Tactic

The referral loop is non-negotiable. The specific mechanic is a joint decision — each pattern has a different perceived-value-vs-cost tradeoff. The four worth weighing together:

Bilateral credit / voucher (Uber, DoorDash, Airbnb) — both sides get app credit. Real economic value, both win. Downside: subsidy cost; needs revenue to absorb. SoS fit: voucher toward first service booking — closest to the DoorDash credit-on-first-order model adapted for home services.
Exclusivity / invite-only (Tesla referrals, early Robinhood waitlist) — limited invites per user. Scarcity → "VIP" demand. Downside: caps growth by design; mismatched with a marketplace that needs scale. SoS fit: useful for an initial demand spike, hard to sustain long-term.
Tiered / gamified (Harry's pre-launch, Morning Brew newsletter) — more friends invited = bigger rewards stack. Competitive ladder. Downside:works best for low-threshold signups (newsletter, waitlist); conversion drops fast when the target action is heavier, like "install app + use it." SoS fit:premium tier of "verified" providers unlocked by referral count — but riskier post-launch than at waitlist stage.
Pure trust loop / no incentive (default) — relies on intrinsic motivation. Authentic, fully on-brand. Downside: lower conversion; no kick-start. SoS fit: the baseline that runs whether or not we add other layers.

My instinct: prototype the cheapest-to-test (pure trust loop) in parallel with one credit-based test (voucher for first service). Six weeks of data tells us which layer pulls.

Deliverables

Referral mechanic spec (bilateral incentive design)
Copy + tracking event taxonomy
Recommend trigger UX flow
Hook into HighLevel for confirmation comms

WEEKS 1-8 · ORGANIC + MICRO-LOCAL PAID

Atomic Network — Denver-first

Why this one

Per Andrew Chen: networked products are not won broadly. They're won as atomic networks — the smallest stable network that grows on its own. Nextdoor reached 1-in-3 US households neighborhood by neighborhood, organically and virally, with strict verification protocols. The same pattern applies here.

Tactic

Pick 2 Denver neighborhoods (suggested: Cherry Creek for high-value real estate + LoHi/Highlands for younger homeowner density — to be confirmed with stakeholders). Run field marketing: local Facebook group seeding, micro-events at Chamber of Commerce gatherings, and — if a local team is in place — physical postcards (Nextdoor's original tactic). Paid layer: hyperlocal Facebook and Instagram ads geofenced to those neighborhoods.

Deliverables

Neighborhood selection memo (with data per candidate area)
Field marketing kit (postcard design, distribution plan)
Hyperlocal ad campaigns ready to launch
Reporting dashboard tracking neighborhood-level activation

WEEKS 2-6 · ORGANIC + SALES-ENABLED

Realtors as demand engine

Why this one

Casey Winters (former CPO of Eventbrite, advisor to Airbnb / Faire / Thumbtack) identifies a Goldilocks Zone: driving between 10% and 40% of demand from supply is the sweet spot for marketplace network effects. Sphere of Six's realtor segment is uniquely positioned to be that driver — they already have client lists, they already lose customers to lead-gen taxes, and 66% of sellers find their agent through referral (NAR 2024). Every realtor on the platform is a node that imports their entire SOI.

Tactic

Design a realtor-specific onboarding that activates their SOI in the first week. "Closing gift" mechanic: post-sale, the agent sends the new homeowner a curated Sphere of Six list of trusted vendors. B2B materials for realtor recruitment via Chamber of Commerce and brokerage land-and-expand. All deliverables built with AI tooling (Claude, IDE-based builders, free tools like Lovable) — keeps the cost near zero and the pace fast.

Deliverables

Realtor activation playbook
"Closing gift" feature spec (product collab)
Brokerage outreach kit (templates, scripts, tracking)
Tracking: % of consumer signups attributable to a realtor invitation

WEEKS 3-8 · ZERO PAID

Local-SEO content anchor

Why this one

43% of buyers start the home buying process online (NAR 2024). The search query "best contractors in [Denver neighborhood]" is high-intent and underserved by current incumbents, whose results are paid-listing dominated. A small library of authoritative, neighborhood-anchored content can intercept that intent without competing on ad spend.

Tactic

8-12 landing pages, on the neighborhood × service-type matrix ("Trusted Plumbers in Cherry Creek", "How Real Estate Agents in LoHi Build Trust"). Each LP integrated with HighLevel for capture. Production powered by the Content Engine (see next page) — which brings marginal cost per LP close to zero.

Deliverables

Keyword research matrix (intent × locality × service)
Content brief template
8-12 LPs published over 6 weeks (using the engine)
Capture integration with HighLevel CRM

WEEKS 1-4 · ZERO PAID

Lead magnet + CRM activation

Why this one

From conversation with the team, HighLevel is set up but under-utilized. The fastest win is to wire it properly: a useful lead magnet ("The Homeowner's Trust Checklist: 17 Questions to Ask Before Hiring Anyone"), a capture flow on every page, and an activation sequence that brings the lead from email to app install. This initiative isn't sexy. It's plumbing. But it's what makes initiatives 2, 3, and 4 actually convert.

Tactic

Build the lead magnet (8-12 page designed PDF), install the capture flow across all relevant pages, and set up a 5-email sequence that ends with a clear nudge to install the app. A/B test scaffolding on headline and CTA from day one — without it, the sequence stays static.

Deliverables

Lead magnet (PDF, 8-12 pages, designed)
HighLevel funnel built end-to-end (capture → 5-email sequence → app install nudge)
A/B test scaffolding for headline / CTA optimization
Dashboard of capture-to-install conversion

THE NUMBERS

Initiative summary

All five initiatives, side by side. Hours and dollars are estimates, not contracted figures.

#	Initiative	Effort (h)	Cost ($)	Lead-time	Type
1	In-product viral loop	15-20	0	Weeks 1-3	Organic
2	Atomic Network — Denver-first	30-40	800-1,500	Weeks 1-8	Paid + organic
3	Realtors as demand engine	25-30	0-300	Weeks 2-6	Organic + sales
4	Local-SEO content anchor	20-30	0	Weeks 3-8	Organic
5	Lead magnet + CRM activation	20-25	0	Weeks 1-4	Organic
	Total	~120-145h	~$800-1,800	8 weeks

CAC SANITY CHECK

CAC sanity check

Aggregate budget across the five initiatives: ~US$ 800-1,800 over 8 weeks. If the consumer-side signals hit (atomic network + realtor invites + SEO + lead magnet), the conservative active-user pool lands around 250-400.

Estimated blended consumer CAC: ~US$ 2-7 per active user.

To frame the structural gap: Angi spends US$ 310M/year on marketing (per 2024 disclosures) — because their model is built around buying leads. A referral-anchored marketplace operates on a structurally different cost base. That difference is the upside.

Caveat: LTV is unknown pre-revenue. CAC alone doesn't validate the model — but it defines the opening.

DECISION GATES

What we kill, and when

Three concrete decision gates I'd commit to at the end of the 60 days:

If atomic network (initiative 2) doesn't hit 200 active users in one neighborhood by week 8 → re-think the neighborhood selection or the message — we likely picked the wrong areas, or the framing didn't land. Denver as the launch city isn't in question.
If viral coefficient (initiative 1) stays below 0.2 invites per active user → the social mechanic isn't compelling. Re-design or remove the assumption that the product grows organically.
If realtor-driven signups (initiative 3) stay below 10% of total → realtor onboarding has a usability or incentive problem. Fix or de-prioritize that segment.

These aren't soft KPIs. They're the conditions under which I'd recommend changing strategy, not the conditions under which I'd be evaluated.