Unit Economics Analysis
HomeReady — Two-Sided Home Services Marketplace
Date: 2026-05-30 · Prepared by: Resolvix · Status: Sample Deliverable
Deliverable type: Financial Analysis — Unit Economics Analysis (~$725)
Industry: Home Services / Two-Sided Marketplace
Company stage: Series A; 18 months post-launch; $4.2M GMV trailing 12 months; evaluating Series B
About this sample. This is one example of what a successful Resolvix deliverable looks like at this scope and type — not a template that every engagement follows. Your expert brings their own expertise and judgment to the work: the structure, the emphasis, which angles they dig into, and how they organize their findings will all vary based on your industry, your specific question, and where the research leads. What stays consistent across every engagement is the standard: analysis grounded in evidence, prioritized recommendations, concrete action steps, and a phased implementation plan. All company names, figures, and scenarios in this sample are illustrative.
Executive Summary
HomeReady is a two-sided marketplace connecting homeowners with vetted home service providers (HVAC, plumbing, electrical, roofing) in 4 metro markets. The platform takes a 12% take rate on booked jobs. At $4.2M TTM GMV and $504K in net revenue, the economics are early-stage but the cohort data contains a critical insight: the business model works well for high-frequency homeowners (2+ jobs per year) and is unprofitable on single-job homeowners. Currently, 31% of customers are high-frequency. Moving that to 50% — which is achievable through category expansion and retention programs — transforms the unit economics from marginally viable to clearly compelling. This report provides the full unit economics stack for both supply and demand sides, the cohort analysis that identifies the high-frequency segment, and the specific interventions needed to shift the customer mix.
1. Business Model Overview
Take rate: 12% of booked job value (charged to the service provider)
Average job value: $485
Revenue per booked job: $58.20
Markets: Austin TX, Denver CO, Nashville TN, Charlotte NC (launched in that order)
The marketplace loop:
- Homeowner submits a job request (free)
- Platform matches to 3 vetted providers within the category
- Providers submit fixed-price quotes (guaranteed by platform)
- Homeowner selects; deposit paid at booking; balance paid on completion
- Provider pays 12% to HomeReady on completion
2. Demand Side: Homeowner Unit Economics
Customer Acquisition
| Acquisition Channel | CAC | % of New Customers | Quality Score |
|---|---|---|---|
| Google Search (paid) | $68 | 34% | Medium |
| Meta/Instagram (paid) | $112 | 18% | Low |
| Referral (existing homeowner) | $22 | 24% | High |
| Organic/SEO | $8 | 14% | High |
| Nextdoor / neighborhood apps | $41 | 10% | High |
| Blended CAC | $57 | 100% | — |
CAC by market maturity:
| Market | Launch Date | Current CAC | Notes |
|---|---|---|---|
| Austin | Month 1 | $31 | 18 months in; strong organic/referral |
| Denver | Month 4 | $44 | 14 months in; referral building |
| Nashville | Month 10 | $68 | 8 months in; still paid-heavy |
| Charlotte | Month 14 | $97 | 4 months in; highest CAC, as expected |
Austin's CAC trajectory ($97 at launch → $31 today) is the template: paid acquisition seeds the market; referral and organic take over as supply density and brand awareness build. Each new market follows this curve with a 12–18 month lag.
Customer Lifetime Value (LTV): Segmented
The single most important finding in this analysis is the LTV gap between high-frequency and single-job homeowners.
| Segment | Definition | % of Customers | Avg. Jobs/Year | Avg. Job Value | Gross Margin/Job | Annual Revenue | LTV (3-yr) |
|---|---|---|---|---|---|---|---|
| High-frequency | 2+ jobs/year | 31% | 3.1 | $510 | $51.50 | $159.65 | $428 |
| Mid-frequency | 1–2 jobs/year | 41% | 1.4 | $485 | $47.50 | $66.50 | $148 |
| Single-job | <1 job/year | 28% | 0.7 | $460 | $41.30 | $28.91 | $54 |
| Blended | 100% | 1.6 | $485 | $47.50 | $76 | $175 |
LTV is discounted at 10% cost of capital; 3-year horizon. Gross Margin per job = take rate revenue minus direct marketplace costs (payment processing 2.9%, provider dispute resolution, category ops).
LTV:CAC by Segment
| Segment | LTV (3-yr) | CAC | LTV:CAC | Payback (months) |
|---|---|---|---|---|
| High-frequency | $428 | $57 | 7.5x | 4.3 |
| Mid-frequency | $148 | $57 | 2.6x | 10.3 |
| Single-job | $54 | $57 | 0.95x | Never profitable |
| Blended | $175 | $57 | 3.1x | 8.9 |
The single-job homeowner is destroying value. At LTV:CAC of 0.95x, acquiring a single-job homeowner costs more than they will ever generate in revenue. The blended 3.1x is acceptable but masks this destruction. The reason the business appears viable at scale is that the high-frequency segment (7.5x LTV:CAC) is cross-subsidizing the single-job segment.
Cohort Retention: Homeowner
| Cohort | M1 | M3 | M6 | M12 | M18 |
|---|---|---|---|---|---|
| Austin (all) | 100% | 68% | 52% | 41% | 38% |
| Austin (high-freq. identified) | 100% | 91% | 84% | 78% | 74% |
| Austin (single-job) | 100% | 31% | 18% | 12% | 8% |
The high-frequency cohort retains at 74% at 18 months. The single-job cohort retains at 8%. This bifurcation tells the acquisition story: if the company could identify high-frequency homeowners before acquiring them, or convert more homeowners into high-frequency users, the economics transform.
What predicts high-frequency behavior? Three signals from the Austin cohort:
1. Homeowners who book their first job in the HVAC or plumbing category (vs. cleaning or handyman) are 2.4x more likely to become high-frequency users.
2. Homeowners who use the "save provider" feature after their first job are 3.1x more likely to rebook within 6 months.
3. Homeowners in homes built before 1995 (higher maintenance need) book 1.9x more jobs per year.
3. Supply Side: Provider Unit Economics
Provider Acquisition Cost (PAC)
| Acquisition Channel | PAC | % of New Providers | Quality Score |
|---|---|---|---|
| Direct sales (inside sales rep) | $420 | 38% | High |
| Trade association referrals | $180 | 22% | High |
| Google Ads (provider-targeted) | $310 | 25% | Medium |
| Referral from existing provider | $85 | 15% | High |
| Blended PAC | $310 | 100% | — |
Active providers: 312 across 4 markets
Average jobs per active provider per month: 3.8
Average job value per provider per month: $1,843
Platform revenue per provider per month: $221
Provider Economics
| Metric | Value |
|---|---|
| Average revenue per active provider (annual) | $2,652 |
| PAC | $310 |
| Provider LTV (3-year, 72% annual retention) | $5,486 |
| Provider LTV:PAC | 17.7x |
| Provider payback period | 1.4 months |
Provider economics are strong. The supply side is healthy: a 17.7x LTV:PAC and 1.4-month payback mean the company can aggressively invest in provider acquisition. The binding constraint is not supply economics — it's demand quality and density. Providers in markets with less than 25 active providers per ZIP code report significantly lower job volume (1.9 jobs/month vs. 4.2 in dense markets), leading to provider churn.
Provider Churn
| Churn Reason | % of Provider Exits |
|---|---|
| Insufficient job volume (density problem) | 48% |
| Price on platform below their preferred rate | 22% |
| Platform switched to competitor | 18% |
| Retired or business closed | 12% |
The density problem (48% of exits) is a classic marketplace chicken-and-egg. In underserved ZIPs, providers churn because homeowner density is too low; homeowners churn because provider response time is too slow. The solution is geographic densification: launch fewer markets deeper, not more markets shallower.
4. Contribution Margin per Completed Job
| Revenue/Cost Item | Per Job | % of Job Value |
|---|---|---|
| Gross job value | $485 | 100% |
| Take rate revenue (12%) | $58.20 | 12.0% |
| − Payment processing (2.9% of job value) | $(14.07) | (2.9%) |
| − Dispute resolution / chargebacks (0.8%) | $(3.88) | (0.8%) |
| − Provider support (per job allocation) | $(2.10) | (0.4%) |
| − Homeowner support (per job allocation) | $(1.85) | (0.4%) |
| Contribution Margin per Job | $36.30 | 7.5% |
| Annualized per high-freq. homeowner (3.1 jobs/yr) | $112.53 | |
| Annualized per single-job homeowner (0.7 jobs/yr) | $25.41 |
Contribution margin is 7.5% of GMV. This is within the range for home services marketplaces (typical: 6–10%) and is sustainable at scale. The path to profitability is operating leverage: fixed costs (engineering, G&A, market operations) don't scale linearly with GMV. At $25M GMV — roughly 6x current — the contribution margin of ~$1.875M covers the fixed cost base and generates EBITDA profitability.
5. Blended Marketplace Economics
| Metric | Current (TTM) | Target (Month 18) |
|---|---|---|
| GMV | $4,200,000 | $11,500,000 |
| Net Revenue (take rate) | $504,000 | $1,380,000 |
| Contribution Margin | $315,000 | $862,500 |
| CM % of GMV | 7.5% | 7.5% |
| Blended Homeowner LTV:CAC | 3.1x | 4.8x |
| High-frequency homeowner % | 31% | 50% |
| Active markets | 4 | 4 (go deeper, not wider) |
| Active providers | 312 | 580 |
| Active homeowners (TTM) | 8,660 | 19,350 |
6. Recommendations
-
Stop acquiring single-job homeowners and redirect all paid acquisition to high-frequency homeowner signals. Add three targeting filters to all paid acquisition: (a) home age > 1995 (Meta custom audience from home records data), (b) first job category = HVAC or plumbing (retarget lookalikes from existing high-frequency cohort), (c) exclude zip codes with home values below $250K (strong proxy for discretionary maintenance spend). Expected result: blended CAC rises slightly ($57 → $72) but LTV:CAC improves from 3.1x to 5.2x as single-job homeowners are removed from the mix.
-
Build a "save your provider" re-engagement flow that activates within 48 hours of job completion. The data shows that homeowners who use the save-provider feature are 3.1x more likely to rebook. But only 18% of homeowners use it, and it requires actively navigating to a non-obvious screen. Make it a post-job default: "Want to book [Provider Name] again directly? Save them with one tap." This is a 2-week engineering build with estimated impact of 8–12% uplift in second-job conversion.
-
Pause Charlotte market expansion; redirect resources to deepen density in Austin and Denver. Charlotte's $97 CAC and thin provider density (avg. 1.9 jobs/provider/month vs. 4.2 in Austin) make it cash-inefficient at this stage. Pause new provider and homeowner acquisition in Charlotte; let the existing base stabilize. Redirect the S&M budget to Austin and Denver ZIP codes that are at 80% density but not yet saturated. This improves blended economics and reduces the cash burn from underperforming markets.
-
Launch a homeowner maintenance subscription ($29/month) that drives high-frequency usage. The high-frequency segment's defining characteristic is 2+ jobs per year. A subscription product — "HomeReady Plus: annual HVAC tune-up, spring gutter cleaning, and 10% off all platform jobs, $29/month" — preloads the high-frequency behavior into the relationship. This converts mid-frequency homeowners into high-frequency users and increases LTV:CAC from 2.6x (mid-frequency) to an estimated 6.1x (subscription). Target 15% of active homeowners on the subscription in 12 months.
-
Restructure provider acquisition to require a minimum density threshold before entering a new ZIP code. Provider churn (48%) is primarily driven by insufficient job volume. The fix is not better provider support — it's not launching in ZIPs where you can't guarantee minimum volume. Set a launch threshold: no new provider recruited in a ZIP code unless there are ≥ 50 homeowner accounts within a 3-mile radius. This reduces provider churn by an estimated 30% in new market launches.
7. Action Steps
| # | Action | Owner | Time | Tied To |
|---|---|---|---|---|
| 1 | Update Meta/Google targeting: add home age, category, and home value filters; kill single-job lookalike audiences | Marketing | 1 week | Recommendation 1 |
| 2 | Build post-job "save your provider" prompt: redesign the completion screen; make save-provider the default CTA | Product | 2 weeks | Recommendation 2 |
| 3 | Pause Charlotte paid acquisition; redirect budget to Austin/Denver high-density ZIP backfill | Marketing | 1 week | Recommendation 3 |
| 4 | Design HomeReady Plus subscription: pricing, included services, discount mechanics, onboarding flow | Product + Marketing | 4 weeks | Recommendation 4 |
| 5 | Build ZIP-level density tracker: dashboard showing homeowner count, provider count, jobs/provider by ZIP | Engineering | 3 weeks | Recommendation 5 |
| 6 | Set new provider acquisition rule: no recruitment in ZIP < 50 active homeowners; update SDR territory maps | Sales | 1 week | Recommendation 5 |
| 7 | Run cohort analysis monthly: track high-frequency % as key operating metric; report to board | Finance | Ongoing | All |
8. Implementation Plan
Phase 1 — Demand Quality Improvement (Days 1–30)
Objective: Shift new homeowner acquisition toward high-frequency signals; stop single-job acquisition.
- Update all paid acquisition targeting parameters
- Pause Charlotte market paid acquisition
- Launch post-job save-provider prompt (fast engineering win)
- Set ZIP density threshold for provider acquisition
Success criteria: Paid acquisition targeting updated in all channels. Charlotte pause in effect. Save-provider prompt live. Single-job homeowners as % of new customer mix declining within 30 days.
Phase 2 — Retention and Frequency Conversion (Days 31–90)
Objective: Convert mid-frequency homeowners to high-frequency; pilot the subscription.
- Launch HomeReady Plus subscription pilot (Austin only)
- Build and deploy save-your-provider re-engagement email sequence
- Begin ZIP density dashboard build
- Run 6-month cohort analysis: is high-frequency % improving?
Success criteria: HomeReady Plus pilot live in Austin with 200+ subscribers. Re-engagement sequence live. ZIP density dashboard in progress. High-frequency homeowner % trending from 31% toward 35%.
Phase 3 — Economics Proof for Series B (Days 91–180)
Objective: Generate the data story for a Series B raise: improved LTV:CAC, rising high-frequency %, subscription economics proof.
- Report HomeReady Plus 60-day retention and frequency data
- Update unit economics model with 6 months of new data
- Build Series B investor materials: unit economics improvement story
- Decide on 5th market timing based on density dashboard data
Success criteria: High-frequency homeowner % at 38%+. LTV:CAC blended at 4.0x+. HomeReady Plus subscriber retention ≥ 75% at Month 2. Series B materials ready.