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Multifamily Marketing Cost Calculator

Marketing cost-per-lease benchmarks differentiate efficient operators.

$
%

Cost per lease

$472

Cost per lead

$100

Annual marketing spend

$102,000

How the math works

Cost per lease = monthly spend / monthly leases. Cost per lead = spend / qualified leads.

$8,500 / 18 = $472 per lease. $8,500 / 85 = $100 per lead. Annual $102k.

How to Use

  1. Enter monthly marketing spend.
  2. Enter monthly leases closed.
  3. Enter monthly qualified leads.
  4. Enter ils share %.
  5. Read cost per lease.

Frequently Asked Questions

Marketing cost benchmarks?

Class A urban: $400–900 cost per lease. Class B suburban: $250–600. Class C: $150–400. Channels: ILS (Apartments.com, Zillow): $250–500/lease, scalable. Google Ads: $200–600/lease, dependent on keyword competition. Facebook/Instagram: $150–400/lease, soft brand build. Resident referral: $300–500 (referral bonus paid). Walk-in/sign: $50–150, market dependent. Track per-channel ROI monthly.

How does this support multifamily underwriting?

Multifamily acquisition and operations teams use this calculator alongside rent roll, T-12 P&L, expense ratio benchmarks, and comp set rents. Pair with a unit-level upside model and concession reconciliation. Sensitivity testing on rent growth, expense growth, and exit cap is essential — small changes compound on stabilized NOI and IRR.

Class A vs B vs C variance?

Class A: newer construction, premium amenities, higher rents but lower yield, lower expense ratio (~35–45%). Class B: 1990s–2000s build, value-add target, mid yield, expense ratio 40–50%. Class C: 1970s–1980s, deep value-add or workforce, higher yield but higher expense ratio (45–60%) and capex burden. Adjust assumptions to class.

When does this metric actually move the deal?

Single-line items rarely change a deal materially, but stacked operational improvements compound. A 3% rent increase + 1.5% expense reduction + 50 bps cap compression = 25–40% IRR uplift over 5 years. Use this calculator alongside others in the operations stack to identify the best 3–5 levers to focus on post-close.

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