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Renter Demographic Targeting Calculator

Different demographics produce very different LTV; target marketing accordingly.

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Optimal demo 1 allocation

$79,545

Optimal demo 2

$56,818

Optimal demo 3

$113,636

How the math works

Allocation weighted by demographic LTV. Higher LTV = larger marketing spend.

LTVs $35k + $25k + $50k = $110k. Demo 1: $79.5k. Demo 2: $56.8k. Demo 3: $113.6k of $250k.

How to Use

  1. Enter demographic 1 avg LTV.
  2. Enter demographic 2 avg LTV.
  3. Enter demographic 3 avg LTV.
  4. Enter marketing budget.
  5. Read optimal allocation.

Frequently Asked Questions

Demographic examples?

Young professionals: 14-20 month stays, high LTV. Families: 30+ months, moderate LTV (discount expected). Students: 9 months, low LTV (unless graduate programs). Seniors: 3-7 years, extreme LTV. Match to property.

Targeting mechanics?

Age targeting (30+). Income targeting ($75k+). Geographic (within 10 miles of workplace). Behavioral (active apartment searchers). Platform choice (Instagram for young prof, FB for families, craigslist for students).

LTV ranges?

Young prof stabilized: $25-45k LTV per stay. Family: $50-90k. Student: $10-25k. Senior: $100-200k+. Property pricing affects these ranges. Target demographics producing 2x+ your average LTV.

How often should I rerun this?

Rerun this calculator whenever inputs change materially — new rent roll data, rate moves, loan balance updates, or quarterly operating data. For active deals, monthly refresh is typical. For stabilized assets under monitoring, quarterly is fine. Treat the output as a decision tool, not a one-time answer — market conditions evolve and so should your analysis.

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