Real Estate · Plotted Developments · Lead-Gen Case Study

3.2x More Site Visits Per Rupee — Same Ad Budget

Horizon Land Developers was spending the same money every month and getting the same trickle of site visits — because every plotted-layout lead, investor or end-user, was chased identically. Here's how separating investor-intent from end-user-intent, and filtering the tire-kickers out before they reached the sales team, more than tripled qualified site visits without adding a rupee to the budget.

★★★★★5.0/5 6-month engagement Lead-quality filters + investor-intent targeting
3.2x
site visits generated per rupee of ad spend, same monthly budget
41%
of raw leads filtered out as low-intent before reaching sales
0%
increase in ad budget required to triple site visits
Real Estate
Plotted Developments
Lead Quality + Investor Targeting
Client

Horizon Land Developers

Plotted-layout land development company, Hyderabad

Starting point

Flat site-visit conversion

Same ad budget, shrinking visits — investor and end-user leads treated identically

Engagement window

6 months

Ongoing performance marketing retainer

Services

Performance Marketing + Lead Qualification

Investor-intent targeting, lead scoring, sales enablement

The challenge

One Ad Budget, Two Completely Different Buyers

Plotted layouts attract two buyers who behave nothing alike: end-users looking for a plot to build a home on, and pure investors chasing appreciation who have no intention of ever laying a foundation. Horizon Land Developers' campaigns didn't distinguish between them — the same ad, the same landing page, the same "book a site visit" form went to both. Investors clicked in droves to check prices and ROI math, ate up budget, and rarely showed up for a scheduled visit. End-user leads got buried under the volume, and the sales team burned hours qualifying leads that should never have reached them in the first place.

58% wasted of ad spend going to leads with no real intention of visiting the site, before targeting was separated
01 — What we did

The Investor vs. End-User Targeting Playbook

1Week 1–2

Lead Audit & Intent Mapping

Combed through a year of past leads to define hard signals for investor intent (ROI-language searches, NRI investor profiles) versus end-user intent (family size, school proximity, "plot for construction" searches).

2Week 2–4

Investor vs. End-User Ad Tracks

Split one blended campaign into two: an investor track built around "plot investment returns" and "land appreciation" keywords, and an end-user track around "residential plot for family."

3Month 1–2

Pre-Qualification Lead Forms

Added dynamic form fields — investment vs. self-use, budget band, purchase timeline — that let obviously low-intent leads self-filter before they ever reached a telecaller.

4Month 2–3

Lead Scoring for the Call Centre

Handed the telecalling team a simple scoring rubric so obvious price-shoppers were flagged and deprioritized before a site visit was ever scheduled.

5Month 3–4

NRI Investor Segment

Built a dedicated NRI investor track with international ad scheduling and WhatsApp-first follow-up, matched to how that segment actually researches and books calls.

6Month 4–6

Budget Reallocation & Scaling

Every rupee saved from low-quality clicks was pushed back into the highest-converting investor and end-user tracks — scaling site visits without ever raising total spend.

i

Plotted layouts aren't one audience. Treating investor and end-user demand as a single funnel is the single biggest budget leak we see in plotted-development marketing — separating them was worth more than any amount of extra spend.

02 — Results

From One-Size-Fits-All to 3.2x Site Visits

Site Visits per Rupee
1.0x → 3.2x
site visits generated per rupee spent

Splitting investor and end-user targeting more than tripled qualified site visits on the same monthly budget.

Lead Quality
34% → 71%
of leads marked qualified before sales handoff

Pre-qualification forms and call-centre scoring doubled the share of leads worth the sales team's time.

Cost per Visit
-52%
cost per booked site visit

Reallocating spend away from low-intent clicks cut the cost of every genuine site visit by more than half.

Site Visits per Rupee
6 mo
Visits per ₹10k
3.2x
Qualified rate
71%
Cost per visit
-52%
Campaign Track Performance
Live
Campaign TrackVisits / ₹10k
Investor-intent track0.9 3.6
End-user track1.1 3.4
NRI investor track0.6 2.9
Combined (before split)1.0 3.2
Retargeting track1.3 4.1
03 — In their words

What the Sales Team Says

★★★★★

"We used to think more leads meant more visits — turns out most of those leads were investors just checking numbers who never planned to show up. Once we split investor and end-user targeting, our site visits per rupee spent more than tripled, without spending a paisa extra. My team now spends its time with people who actually book."

AR
Arjun Reddy
Sales Head, Plotted Layouts, Horizon Land Developers
Methodology

Site visits per rupee are calculated from CRM-logged, sales-confirmed site visits divided by verified monthly ad spend, tracked against the same fixed budget throughout the engagement. Lead-quality figures are scored jointly with the client's telecalling team using the pre-qualification rubric introduced in month 2, not raw form submissions. Timeframe and starting baseline stated above, as with every case study we publish.

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