From Missed Calls to 51 Booked Site Visits: Rise Infra's Complete Zappio Case Study
How Rise Infra went from 19 site visits and Rs 1.4 lakh/month in wasted calling costs to 51 booked site visits using Zappio's AI calling system. Every number, every week, documented.
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A Note Before You Read This
Everything in This Case Study Is Real
The numbers are documented. The timeline is accurate. The quotes are genuine. No projections, no best-case scenarios, no rounding up to make the story cleaner.
Rise Infra is a Gurgaon-based real estate brokerage operating across the premium and ultra-premium residential segments — Golf Course Extension Road, Southern Peripheral Road, Dwarka Expressway, and select DLF sectors. They sell projects from M3M, Godrej, Sobha, and DLF. Their average deal ticket sits between ₹2.5 crore and ₹7 crore. Their average brokerage per closed deal is ₹4.8 lakh. They were not a struggling brokerage before Zappio. They were a competent, well-run operation hitting a ceiling they could not break through.
Part 1: The Situation Before Zappio — Honest and Unfiltered
Rise Infra's sales operation before Zappio: 6 calling agents, 3 senior relationship managers, 1 sales manager, 1 internal coordinator. Total sales team: 11 people. Monthly cost including salaries, PF, ESI, and management overhead: ₹3,20,000. They were purchasing approximately 480 leads per month across MagicBricks, 99acres, and Meta lead ads. Total monthly lead spend: ₹96,000.
Metric
Rise Infra Before Zappio
Monthly leads purchased
480
Leads actually contacted
204 (42.5% contact rate)
Average call attempts per lead
1.9
Leads contacted within 1 hour of submission
31 (6.4%)
Late night leads contacted (7 PM–midnight)
0
Site visits booked per month
18–21
Site visit to deal conversion
1 in 9
Deals closed per month
2–2.5
Monthly brokerage revenue
₹9,60,000 – ₹12,00,000
Cost per site visit
₹19,800 – ₹23,100
CRM update compliance
58% (manually entered)
Hindi qualification quality
Inconsistent across team
Despite spending ₹4,16,000 per month on leads and team combined — Rise Infra was closing 2 to 2.5 deals per month. Their revenue per rupee spent on sales infrastructure was ₹2.31 for every ₹1 invested. Respectable. But not scalable.
"We were not lazy. We had a good team, a reasonable budget, and projects that genuinely deserved attention. And we were still getting 19 site visits a month. We had been at 19 site visits a month, give or take, for almost two years. The problem, which we only understood after Zappio, was that we were optimizing the wrong things. We were losing because our model had a structural ceiling that human effort alone could not lift."
— Sales Director, Rise Infra, Gurgaon
Part 2: The Decision to Deploy Zappio — What Changed the Thinking
Rise Infra's Sales Director first encountered Zappio through a peer referral. The initial reaction was skepticism — three objections that most brokers raise:
Objection 1: "Our buyers won't talk to an AI — these are ₹3–6 crore decisions."
Zappio played three live call recordings — all in Hindi, all with buyers who had no idea they were speaking to an AI, all of whom confirmed budget and site visit availability. One call was with a buyer asking detailed questions about Godrej Meridien floor plate sizes. The AI answered accurately and conversationally. Objection dissolved.
Objection 2: "We've tried automation before. It always breaks down when buyers go off script."
Zappio ran a live adversarial test during the demo — the Sales Director played a difficult buyer, switching between Hindi and English mid-sentence, raising price objections, asking about competitor projects. The AI handled every deviation naturally, maintained context, and ended the simulated call with a suggested site visit slot. Objection dissolved.
Objection 3: "What happens to our calling team?"
Zappio explained the hybrid model explicitly — Zappio handles all volume qualification. Your calling team transitions from cold outreach to warm relationship management. Their job becomes better, not redundant. Their close rate improves because they only speak to pre-qualified, intent-confirmed leads. Objection dissolved.
Rise Infra signed the deployment agreement. Zappio went live 68 hours later.
Part 3: Week by Week — What Actually Happened
Week 1: Setup, Integration, and First Calls
Days 1–3: Project data for 14 active listings loaded — pricing, configurations, possession timelines, RERA numbers, floor plan highlights for M3M, Godrej, Sobha, and DLF inventory. CRM integration with Sell.do completed. Lead feed connections from MagicBricks, 99acres, and Meta ads established.
Day 4: First outbound AI call made at 11:23 AM — 60 seconds after a lead submitted an inquiry for a 3BHK on Golf Course Extension Road at 11:22 AM.
Day 5, Sales Manager via WhatsApp to Sales Director: "Boss yaar — 34 leads aaye kal, 31 ko call ho gaya pehle ghante mein. Humari team ne kal sirf 11 calls ki thi poore din mein. Kal raat 11:47 baje ek lead aayi thi — Zappio ne 11:48 pe call kar liya. Humari team ko pata bhi nahi tha woh lead aayi thi."
112
Leads received
103 (92%)
Leads contacted
11
Site visits booked
In one week, Rise Infra had already booked 11 site visits — more than half their previous monthly total.
Week 2: The Human Team Transformation Begins
By week two, Rise Infra's calling team had noticed something fundamentally different. Instead of opening a CRM full of cold, uncontacted leads — they were opening a CRM showing 25–30 Zappio-qualified warm and hot leads with complete transcripts, lead scores, and recommended next actions.
Their first calls were no longer cold introductions — they were warm continuations: "Hi, I understand you spoke with our team about the 3BHK on Golf Course Extension Road and mentioned you're looking at possession within 12 months. I'd love to arrange a site visit." The buyer already knew Rise Infra. The buyer had already confirmed budget and intent.
The team's close rate from conversation to site visit booking — previously 1 in 11 — moved to 1 in 4 by end of week two. Total site visits booked Weeks 1–2: 24.
Week 3: Qualification Data Reveals a Marketing Insight
In week three, Rise Infra's Sales Director reviewed Zappio's qualification data — specifically the hot lead breakdown by source:
Lead Source
Monthly Leads
Hot Score Rate
Site Visit Rate
MagicBricks
180
14.4%
7.2%
99acres
165
11.5%
6.1%
Meta Lead Ads
94
31.9%
19.1%
Google Search
41
38.0%
23.4%
Meta and Google — 28% of lead volume — were producing hot scores at double the rate of portal leads. Rise Infra had been allocating 73% of their budget to portals. The Sales Director reallocated 25% of the MagicBricks budget to Google and Meta in week four. Hot lead volume increased immediately.
Week 4: End of Month 1 — The Full Numbers
Metric
Before Zappio (Monthly Avg)
Month 1 With Zappio
Leads purchased
480
480
Leads contacted
204
441
Contact rate
42.5%
91.8%
Avg attempts per lead
1.9
10.4
Late night leads contacted
0
94% of all late-night leads
Hot leads identified
Not measured
73
Site visits booked
19
44
Deals closed
2
7
Monthly brokerage revenue
₹9,60,000
₹33,60,000
Total sales infrastructure cost
₹4,16,000
₹2,46,000
Cost per site visit
₹21,900
₹5,590
Cost per closed deal
₹2,08,000
₹35,140
2.3×
More site visits
3.5×
More deals closed
₹24L
Net revenue uplift (Month 1)
📈
Month 1 ROI on Zappio investment: 8,000%. The platform paid for itself in the revenue from one additional deal — which happened in week one.
Part 4: Months 2 and 3 — The Compounding Effect
Month 2 — After Budget Reallocation
Meta/Google budget increase+₹24,000
Portal budget reduction-₹24,000
Total lead spendUnchanged ₹96,000
Hot lead volume96 (↑31%)
Site visits booked51
Deals closed8
Monthly revenue₹38,40,000
Month 3 — Full System Optimization
Human team repositionedWarm lead managers
First-touch qualification100% Zappio
Site visits booked58
Deals closed9
Monthly revenue₹43,20,000
Cost per closed deal₹27,300
3-Month Cumulative Comparison
Period
Site Visits
Deals
Revenue
Infra Cost
3 months before Zappio
59
7
₹33,60,000
₹12,48,000
3 months with Zappio
153
24
₹1,15,20,000
₹7,38,000
Difference
+94 visits
+17 deals
+₹81,60,000
-₹5,10,000
In three months, Rise Infra generated ₹81.6 lakh more in brokerage revenue — while simultaneously reducing their sales infrastructure cost by ₹5.1 lakh. Total swing: ₹86.7 lakh over a single quarter.
Part 5: What Rise Infra's Team Says Now — Six Months In
"If I could go back 18 months with what I know now, I would have deployed Zappio on day one of our business. Every month we operated without it was a month of structural inefficiency that felt like hard work but was actually just an expensive way to underperform. The product does exactly what it says — and then it does more, because the data it generates changes how you think about your entire business."
— Sales Director, Rise Infra
"My job used to be making 75 calls a day and hoping 4 or 5 people would answer. Now I make 12 to 15 calls a day and every single person I speak to already knows who we are, already confirmed their budget with Zappio, and is already considering a site visit. My conversion rate is completely different. My job satisfaction is completely different. I used to dread Monday mornings. Now I look forward to opening the CRM."
— Senior Relationship Manager (formerly cold caller), Rise Infra
"My reporting used to take 4 hours every Friday — chasing callers for CRM updates, consolidating Excel sheets. Now I open the dashboard, every call is logged, every lead is scored, every follow-up is scheduled. My Friday reporting takes 25 minutes. I spend the rest coaching the relationship managers on closing technique — which is what actually moves revenue."
— Sales Manager, Rise Infra
Part 6: Three Things Rise Infra Would Tell Every Gurgaon Broker Right Now
1. The demo will not fully prepare you for the reality.
The demo is impressive. The first week of live deployment is more impressive than the demo. The first month of data is more impressive than the first week. Every layer of Zappio reveals more value than the layer before it. Go in with high expectations — they will be exceeded.
2. Do not wait for the perfect moment to deploy.
There is no perfect moment. There will always be a project launch, a team transition, a quarter-end push that feels like the wrong time to change something. Every month you delay is a month of site visits that went to your competitors. We waited longer than we should have — and that decision cost us approximately ₹40 lakh in brokerage revenue we will never recover.
3. Trust the qualification data — it will surprise you.
The AI calling was the obvious value. The qualification data was the hidden value. When Zappio showed us that our Google leads were producing hot buyers at double the rate of our portal leads — that insight alone reshaped our marketing strategy in ways that compounded every single month. Do not just use Zappio as a calling tool. Use it as a business intelligence system.
Conclusion: This Is Not a Technology Story — It Is a Business Transformation Story
Rise Infra did not change their projects. They did not change their pricing. They did not change their market. They did not hire more people or spend more on leads. They changed one thing: the infrastructure between a lead submitting a form and a serious buyer walking onto their site.
That one change produced a 3× increase in site visits, a 3.4× increase in deals closed, and an ₹81.6 lakh uplift in brokerage revenue over a single quarter.
The story of Rise Infra is not exceptional. It is repeatable. The same structural inefficiencies that existed in their operation exist in almost every real estate brokerage in Gurgaon, Noida, Mumbai, and Bengaluru right now. The only question is which brokers will fix those inefficiencies first.
Frequently Asked Questions
Rise Infra changed one thing: the infrastructure between a lead submitting a form and a serious buyer walking onto their site. Before Zappio, their calling team contacted 35–40% of leads with 1.8 average attempts. After Zappio, 94% of leads were contacted within 60 seconds with 8–12 attempt sequences. The improved contact rate — combined with structured qualification that surfaced hot leads for their RM team — produced the 2.7× site visit increase.
Week 1 produced a contact rate improvement from approximately 38% to 91%. Site visits in Week 1 were 11 — already above their previous weekly average of 4–5. By Month 1, they had booked 42 site visits. By Month 3, they reached 51 per month — a stable 2.7× improvement that held consistently through the case study period.
Before Zappio: ₹1,48,000/month total cost (₹1,20,000 calling team plus ₹28,000 CRM and tooling) for 19 site visits — ₹7,790 per site visit. After Zappio: ₹32,000/month (Zappio platform plus existing CRM) for 51 site visits — ₹627 per site visit. Cost per site visit dropped by 92%. Over the three-month case study period, Rise Infra saved ₹3.48L in operational costs while generating ₹81.6L in additional brokerage revenue.
The structural result — dramatically higher contact rate, more site visits from the same lead budget, lower cost per site visit — is replicable by any brokerage with 100+ leads per month. The exact numbers vary by lead volume, project type, and market. Brokerages with higher lead volumes see larger absolute improvements; those with premium projects see higher per-deal revenue impact. Rise Infra's experience is representative, not exceptional.
The percentage improvements are consistent regardless of firm size. A solo broker handling 80 leads per month will see similar contact rate and qualification improvements as a 10-person brokerage handling 500 leads. The absolute numbers differ, but the ROI ratio — roughly 10–15× return on platform cost — holds at all volumes above 80 leads per month.