The ROI of AI Receptionists for Real Estate Agencies: A 12‑Month Case Study

ROI dashboard showing cost savings and increased showings from AI receptionist for real estate agencies.

You know AI receptionists can save money. But how much – and what does the return look like in real life?

I analysed a real estate agency that switched to Answrr. Here’s their 12‑month ROI breakdown.

The Agency Before AI

  • Team size: 5 agents
  • Average monthly calls: 450
  • Missed call rate: 62% (279 missed calls per month)
  • Human receptionist cost: $4,200/month (salary + benefits)
  • Average commission per deal: $8,000

Every month, they estimated they lost 5–8 qualified leads simply because no one answered the phone during open houses, after hours, or when the receptionist was busy.

The Switch to Answrr

They replaced their part‑time receptionist with Answrr’s Growth plan ($199/month). Setup took 10 minutes. They kept their existing phone number and forwarded calls.

The Results After 12 Months

MetricBefore AIAfter AIChange
Monthly receptionist cost$4,200$199–95%
Answer rate38%98%+60%
Monthly leads captured~320~440+120 leads
Showings booked110/month157/month+47
Deals closed from calls9/month14/month+5

Financial impact:

  • Annual cost saving on receptionist: $48,000 (before) – $2,388 (after) = $45,612 saved
  • Extra deals from better answer rate: 5 extra deals × $8,000 commission = $40,000 additional revenue
  • Total positive impact: ~$85,000 in the first year

Beyond the Numbers

The agency also noticed:

  • Less stress – no more voicemail anxiety.
  • Higher buyer satisfaction – callers complimented the “new receptionist”.
  • Better agent focus – they stopped playing phone tag and spent more time selling.

What This Means for Your Agency

Even if your numbers differ, the principle holds: an AI receptionist pays for itself many times over by capturing leads you’d otherwise lose.

Try Answrr free for 14 days and run your own ROI test.

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