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Real estate proof & rollout playbooks

Beachhead stories first: speed to lead, site visits, closed ₹. Anonymized pilot metrics below — join the cohort to measure your own baseline in Analytics.

Pilot metrics are anonymized and directional for design-partner floors. We do not invent win rates. Publish named logos only with written permission.

Real estatePilot metrics (anonymized)

Bangalore channel partner: portal leads to site visits

8 agents · single Cloud API line · 99acres + Meta Lead Ads

Leads sat in personal WhatsApp; median first reply ~4 hours; weekend enquiries died.

Median speed to first reply
47s

p50 after Sources + templates

Site visits / week
+2.1×

vs prior 4-week baseline

Leads with ≥5 touches
61%

was ~18% on memory follow-up

  1. Week 1

    Knowledge import + WhatsApp connect + Sources

    Portal/email ingest live; templates approved for outbound open

  2. Week 2–3

    Assist → auto_guarded on grounded FAQ

    Night enquiries answered from project docs; hot buyers on Your turn

  3. Week 4+

    Follow-up agent + pipeline ₹

    Silence after visit booked no longer depended on sticky notes

See Real estate solution →
Real estatePilot metrics (anonymized)

Pune developer desk: MagicBricks drip + weekend rush

22-person floor · multi-project · MagicBricks + Housing + CTWA

Managers could not see whose turn it was; AI pilots elsewhere invented ticket sizes; chase stopped after day two.

Ungrounded price sends
0

blocked by trust rails

Follow-up compliance
93%

scheduled touches delivered

Closed ₹ attributed
Shadow on

billing still off — proof only

  1. Week 1

    Trust rails + price sheets in knowledge

    Zero ungrounded ₹ quotes reaching customers in pilot week

  2. Week 2–3

    Assignment by project + site-visit stage

    Named owners on negotiation; Home showed deals at risk

  3. Week 4+

    Attribution shadow ledger

    Marketing saw which Meta campaigns produced Won ₹

See Real estate solution →
Real estatePilot metrics (anonymized)

Hyderabad brokerage: long-cycle premium chase

12 agents · Gachibowli corridor · 3–6 month cycles

Premium buyers needed 10+ touches; reps managed 3–4; NRI evening messages waited until morning.

Avg touches before visit
9.4

was ~3.5

After-hours first reply
<2 min

guarded FAQ path

Stalled → re-engaged
11%

silent 7+ days revived

  1. Week 1

    Shared inbox + digests

    Sales head saw overnight backlog before standup

  2. Week 2–3

    Follow-up agent quiet hours + max touches

    Policy-respecting chase across weeks

  3. Week 4+

    Pipeline forecast hygiene

    Won/Lost reasons captured for later P(win) work

See Real estate solution →

30-day rollout

Metrics publish after the first cohort completes

Week 1

Connect + first classified lead

WhatsApp live on Meta Cloud API. First inbound message classified in Conversations.

Week 2–3

Team adopts Conversations + Pipeline

Take over on handoffs. Move deals with ₹ values. Your team owns high-stakes replies; optional guarded auto-send for simple messages.

Week 4

Compare vs baseline

Win rate, response time, and pipeline value from Analytics — your data stays yours.

Metrics we track (with your permission)

Win rate

Won deals ÷ qualified leads (30-day window)

Median first response

Time to first human reply after inbound

Pipeline ₹ visible

Deals with ₹ value on Pipeline board

Handoff resolution

% flagged threads with Take over within 24h