AC Filter Subscription + HVAC Data Intelligence Platform
FilterDrop is a subscription-based AC filter delivery company with a data intelligence layer built on top of its customer base.
Consumers register their air conditioning units, receive correctly-sized replacement filters automatically on manufacturer-recommended schedules (30, 60, or 90 days), and opt into contributing anonymized unit data. That data is then licensed to HVAC repair companies, manufacturers, and property managers as actionable intelligence — creating a second, high-margin revenue stream that scales with subscriber count.
The core insight: every new subscriber is simultaneously a recurring revenue customer and a data point in a growing HVAC intelligence network. As the subscriber base grows, the data product becomes more valuable, which funds better customer acquisition, which grows the subscriber base further.
Immediate target market: US residential homeowners (approx. 93 million housing units with central air).
Business model summary:
| Segment | US Market Size |
|---|---|
| Residential AC filters | ~$3.5B/year |
| HVAC maintenance & repair | ~$12B/year |
| HVAC replacement (new units) | ~$18B/year |
| B2B HVAC data/intelligence | Emerging — no dominant player |
FilterDrop targets a thin slice of all three with a platform play: subscription revenue funds data collection; data revenue funds subscriber growth.
FilterDrop operates as a two-sided platform:
Side 1 — Consumer: "Set it and forget it" filter delivery. Register your AC unit once, receive the right filter on the right schedule, never think about it again.
Side 2 — Industry: Aggregated, anonymized AC unit data delivered as intelligence reports and lead feeds to contractors, manufacturers, and commercial property managers.
| Tier | Interval | Price/mo | Description |
|---|---|---|---|
| Basic | 90 days | $15 | Standard MERV 8, single filter |
| Standard | 60 days | $22 | MERV 11, improved allergen capture |
| Premium | 30 days | $38 | MERV 13, best for allergy/asthma households |
| Custom | Variable | Quoted | Multi-unit homes, oversized systems |
All tiers include:
Target customers: property management companies, HOAs, small businesses, office buildings, retail locations.
Sold to HVAC contractors, manufacturers, and property data companies.
| Product | Buyer | Price | Cadence |
|---|---|---|---|
| Regional Age Report | HVAC contractors | $99–$499/mo | Monthly |
| End-of-Life Lead Feed | HVAC dealers/installers | $199–$999/mo | Weekly |
| Manufacturer Field Feedback | OEMs | Custom contract | Quarterly |
| ZIP-Level Unit Census | Insurers / Real estate data | Custom | Annual |
When a subscriber's unit reaches the end of its manufacturer-recommended lifespan, FilterDrop:
This is opt-in for the homeowner and transparent. FilterDrop does not sell personal data — it generates qualified inbound leads for contractors who pay for access.
Revenue Stream Year 1 Year 2 Year 3
─────────────────────────────────────────────────────────
Filter Subscriptions (B2C) $120,000 $540,000 $1,800,000
Commercial Accounts (B2B) $18,000 $120,000 $480,000
Data Intelligence Licenses $8,000 $60,000 $360,000
Referral Commissions $4,000 $40,000 $200,000
─────────────────────────────────────────────────────────
Total Revenue $150,000 $760,000 $2,840,000
Channels:
Hook: "Never think about your AC filter again. Tell us your unit model and we'll handle the rest."
Launch market: Sun Belt states (TX, FL, AZ, GA) — highest AC usage, oldest average unit fleet
Target: Property management companies with 10–200 residential or commercial units
Channels:
Hook: Centralized HVAC compliance, depreciation reporting, and incentive alerts in one platform.
Target: Regional HVAC contractors (5–50 techs), national HVAC brands, HVAC distributors
Channels:
Hook: "Know which neighborhoods have the oldest AC fleets before your competitors do."
| Field | Source | Use |
|---|---|---|
| Brand | User input | Brand-level analytics, manufacturer reports |
| Model number | User input | Filter size lookup, lifespan lookup |
| Install year | User input | Age calculations, replacement timing |
| SEER rating | User input / model lookup | Efficiency benchmarking, incentive matching |
| Tonnage | User input / model lookup | Filter size, energy modeling |
| ZIP code | User input | Geographic segmentation |
| Filter change history | Platform behavior | Compliance analytics |
Year 1: Regional age distribution reports (zip code level)
Year 2: Predictive failure scoring by brand/model/age/climate zone
Year 3: Integration with smart thermostat data (opt-in) for real-time efficiency and anomaly detection
-- Users / subscribers
users (id, email, created_at, plan_tier, stripe_customer_id)
-- Registered AC units
ac_units (id, user_id, brand, model_number, install_year, seer_rating,
tonnage, filter_size, zip_code, created_at)
-- Subscription deliveries
deliveries (id, unit_id, scheduled_date, shipped_date, filter_sku, status)
-- Data opt-in
data_consent (user_id, opted_in, updated_at)
| Metric | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| B2C Subscribers (EOY) | 500 | 2,500 | 8,000 |
| Avg Revenue/Subscriber/Mo | $25 | $25 | $27 |
| Commercial Accounts | 10 | 50 | 150 |
| Data License Customers | 5 | 30 | 100 |
| Total Revenue | $150K | $760K | $2.84M |
| Gross Margin | 72% | 76% | 80% |
| EBITDA | -$80K | $40K | $620K |
| Category | Monthly | Annual |
|---|---|---|
| COGS (filters + shipping) | $4,500 | $54,000 |
| Marketing / Ads | $5,000 | $60,000 |
| Technology (Vercel, Supabase, Stripe) | $500 | $6,000 |
| Legal / Accounting | $500 | $6,000 |
| Misc Operations | $200 | $2,400 |
| Total Costs | $10,700 | $128,400 |
To reach Year 2 profitability with a comfortable runway, FilterDrop is seeking $150,000 in seed capital (friends & family or angel round):
| Competitor | Strength | Weakness |
|---|---|---|
| Amazon Subscribe & Save | Price, convenience | No unit registration, generic filters, no data layer |
| FilterEasy | Filter subscription focus | Limited data play, no commercial tier |
| Second Nature | Established brand | No data monetization, higher price |
| HVAC manufacturers (Carrier, Trane) | Brand trust | Not in subscription/data business |
| Local HVAC contractors | Relationships | No scale, no data aggregation |
FilterDrop's differentiation: The only filter subscription company that collects unit-level data and converts it into a B2B intelligence product. Our value to HVAC contractors is not just filters — it's knowing which neighborhoods to be in.
Data network effect: Every subscriber adds to the dataset. At scale, the intelligence product becomes impossible for new entrants to replicate quickly.
Switching cost: Subscriber's unit profile is stored on the platform. Changing services means re-registering all units.
Contractor stickiness: Once HVAC contractors build their acquisition pipelines around FilterDrop lead feeds, they have a strong incentive to stay as the dataset grows.
First-mover in data layer: No current filter subscription company has a data monetization strategy. Moving first establishes relationships with manufacturers and contractors before competitors notice.
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Amazon launches a competing data product | Low | High | Build contractor relationships fast; data moat takes years to replicate |
| Data privacy regulation tightens | Medium | Medium | Aggressive opt-in model, anonymization from day 1, legal review |
| Drop-ship supplier reliability issues | Medium | Medium | Qualify 2–3 suppliers, maintain small safety stock for top SKUs |
| Low data opt-in rates | Medium | Medium | Make opt-in default, explain value exchange clearly, offer discount for opting in |
| Slow B2C subscriber growth | Medium | High | Diversify channels early; commercial accounts provide revenue floor |
| Filter margin compression | Low | Low | Data/referral revenue provides margin buffer; can absorb filter price pressure |
Q1 (Months 1–3): Foundation
Q2 (Months 4–6): Growth
Q3 (Months 7–9): Data Product
Q4 (Months 10–12): Scale
FilterDrop — Built on filters. Powered by data.