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Case study · 6 projects · 1 Feb to 5 Mar 2026

Lead to site visit, from 6% to 12.7%.

Same leads, 2.1× more site visits every month. Engaged leads converted 2.4× better than leads who did not engage.

Who: A Bengaluru residential developer, 6 projects, ₹1.3 to 3.8 Cr homes, about 4,000 leads a month.

Lead to site visit rate

Before6%Nov 2025 to Jan 2026 average
After12.7%blended, 1 Feb to 5 Mar 2026

Became site visits, 1 Feb to 5 Mar 2026

  • Non-engaged8.2%
  • Engaged leads19.5%
Actual data, the developer's own live leads. Identity confidential.

What did Propfocus AI deliver for this 6-project developer?

Propfocus AI is the AI presales platform for real estate developers. Its AI agents work every lead a developer has paid for, on WhatsApp and inside the developer's CRM, until it becomes a site visit. Here, with the project page and Intent Alerts, lead to site visit rose from 6% to 12.7% (1 Feb to 5 Mar 2026).

  • Developer's own live leads
  • Actual data
  • Identity confidential
The situation

About 4,000 leads a month, converting at 6%.

  • Residential, 6 projects, Bengaluru
  • Ticket sizes ₹1.3 to 3.8 Cr
  • Baseline, November 2025 to January 2026: about 4,000 leads a month, 6.03% lead to site visit, 240 site visits a month
  • Every unsold month burns about ₹1 crore
What Propfocus AI did
  1. Saw which leads engaged

    Propfocus AI sees which buyers are engaging with the project page they asked for. 39.8% of leads did.

  2. Put engaged leads first

    Intent Alerts tells presales which buyers are ready and when to call. 19.5% of engaged leads became site visits.

  3. Kept working the rest

    60.2% of leads did not engage and stayed on the team's regular call cadence; 8.2% of them still became site visits.

  4. On the developer's live leads

    Measured on live leads from 1 February to 5 March 2026, against the developer's own baseline.

Results

Conversion rate, doubled.

Every figure below is from the developer's own live leads, measured against its November 2025 to January 2026 baseline.

Conversion

  • 12.7%

    lead to site visit, blended (40% × 19.5% + 60% × 8.2%), against 6% before

  • 2.4×

    higher conversion for engaged leads

  • 19.5%

    of engaged leads (39.8%) became site visits, against 8.2% of non-engaged leads (60.2%)

  • 2.1×

    more site visits every month

What it means over time

  • 67

    more site visits from the same 1,000 leads: 60 a month before, 127 at the rate measured from 1 Feb to 5 Mar 2026

  • 4.7 months

    to the same sellout target, from 10: about 5.3 months saved (directional)

  • ₹5.3 Cr

    projected avoidable burn: 5.3 months at about ₹1 crore a month

  • 67

    site visits conducted from RNR leads, worth ₹18.5 lakh

₹18.5 lakh values the 67 RNR site visits at ₹27,600 a visit, the cost per visit published in the 10-project case study. The time and burn figures are projections from the rate measured from 1 Feb to 5 Mar 2026.

Timeline

A three-month baseline, then live leads.

  1. Baseline

    About 4,000 leads a month, 6.03% lead to site visit, 240 site visits a month.

  2. Live on the developer's leads

    Engagement measured from 1 Feb to 5 Mar 2026: 39.8% of leads engaged, and the blended lead to site visit rate reached 12.7%.

  3. Case study published

    Actual data, identity confidential.

What this means for you

Same leads, same sellout target, in about half the time.

If your lead to site visit rate sits near 6%, the leads to call first are already in your CRM. These are the pages to read next.

Read the full case study

The original PDF, with the full data behind this page. The developer's own live leads, actual data. Identity confidential.

Download the PDF (opens in a new tab)
FAQ

Questions about this case study

All questions

How is the 12.7% worked out?

It is the blended lead to site visit rate: about 40% of leads engaged and 19.5% of them became site visits; about 60% did not and 8.2% of them became site visits (40% × 19.5% + 60% × 8.2%). Before, the rate was 6%, the November 2025 to January 2026 average.

Is the ₹5.3 crore a saving the developer has already made?

No. It is a directional projection. At the rate measured from 1 Feb to 5 Mar 2026, the same sellout target takes about 4.7 months instead of 10, about 5.3 months saved, and every unsold month burns about ₹1 crore for this developer.

Did the developer buy more leads?

No. The same leads converted better: from 1,000 leads, 60 site visits a month before and 127 at the rate measured from 1 Feb to 5 Mar 2026.

Why is the developer not named?

The case study uses the developer's own live leads and actual data, and the developer's identity is kept confidential. We can walk you through the numbers in a demo.

Your leads next

See it on your own leads. More site visits from the same leads.

We will walk you through these numbers and show you which of your buyers are ready today.