PropTech Due Diligence › Metrics › Series A

Key Metrics for PropTech Startups at Series A Stage: Investor Benchmarks

These 4 metrics are what institutional investors evaluate when screening PropTech startups at the Series A stage. Each metric is accompanied by benchmark ranges sourced from our database of 2+ comparable company analyses.

Series A Stage Traction Expectation: $1M ARR target. Demonstrated scalable sales motion with 2+ reps hitting quota. Clear ICP defined.
Metrics Expected at Series A: $500K–$3M ARR, NRR >100%, Gross Margin >65%, CAC Payback <18 months

01. Annualized Gross Transaction Value (GTV)

iBuyer/transaction platforms: $10M+/year Seed

For transaction-based models, total value of deals closed

Series A context: At Series A stage ($5M–$20M), this metric is the primary evaluation criterion. $1M ARR target. Demonstrated scalable sales motion with 2+ reps hitting quota. Clear ICP defined.

02. Assets Under Management (AUM)

Property management SaaS: 1,000+ units at Seed

Units managed is the key scale metric for property management platforms

Series A context: At Series A stage ($5M–$20M), this metric is the primary evaluation criterion. $1M ARR target. Demonstrated scalable sales motion with 2+ reps hitting quota. Clear ICP defined.

03. Days on Market Reduction

>20% reduction vs. traditional listing process

Speed is the primary value proposition for seller-side proptech

Series A context: At Series A stage ($5M–$20M), this metric is a secondary signal. $1M ARR target. Demonstrated scalable sales motion with 2+ reps hitting quota. Clear ICP defined.

04. Rent Collection Rate

>95% on-time is required for property management products

Below 95% signals product/process failure or target market selection issues

Series A context: At Series A stage ($5M–$20M), this metric is a secondary signal. $1M ARR target. Demonstrated scalable sales motion with 2+ reps hitting quota. Clear ICP defined.

How DDR Benchmarks These Metrics

When you upload a PropTech startup pitch deck, DDR automatically:

  1. Extracts all PropTech metrics from every slide of the pitch deck
  2. Benchmarks each metric against 2 comparable PropTech companies
  3. Flags metrics outside healthy ranges as red flags with severity weighting
  4. Provides an overall verdict (INVEST / DIG DEEPER / PASS) with score 1–10
  5. Generates expected return scenarios based on PropTech exit data

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