The Future is Clikin.ai
Console Talk to sales

Nine solutions · the ClikIn.AI system, ready to run

Answer inside the window

So the enquiry never leaks.

Complete the job in the conversation

So a reply becomes a booked visit, not a callback.

Run the whole operation

So nothing drops, and every rupee is accounted for.

Real estate

NewLive human handoff — a human joins in seconds

Humans sell homes,
Clikin.AI OS is your growth engine.

Buyers enquire on WhatsApp — usually at night, when they finally have time to look at homes. ClikIn replies within 8 seconds with real answers. Your team opens the full conversation in the morning.

See how it works Test it from your phone
Replies within 8 seconds On the app they already use
The whole thread Ready for your RM before the call
Every booking Traced back to the campaign

The proposition

Grow the digital share of your business. With a system behind every lead.

We want to make digital a bigger, steadier, more repeatable source of your business.

Share of bookings that start online
Today
With the system behind it

Same brand, same inventory, same sales team — a larger share of it starting, and finishing, on a digital enabling system.

What we are asking for A partnership.

An operating partner for your digital sales.

What that makes us We are not another channel partner. Not another CRM.

The journey today · click to booking

Click to booking is four to eight weeks. It is the time in between that matters.

A buyer compares several projects before they ever click. From there the journey runs through your pre-sales team, WhatsApp, calls, video meetings and the site visit — and every builder runs it differently.

The journey · and the questions in between
Click → first call How soon does the call go out? Minutes, hours, or the next morning?
First call → engagement If nobody picks up, what then? One more attempt, or a cadence?
Engagement → site visit How is the site visit set up? Over chat, or on a system?
Site visit → booking What does the next person see? The whole thread, or the basics?

Typically four to eight weeks, and constant engagement throughout

The problems

Five problems every builder faces. Different causes. The same result.

01

Junk leads

Forty-eight arrive. One is a buyer.

02

Losing momentum

The lead’s window is minutes. The call comes hours later.

03

Manual calling

Nothing dials on its own. A person works the list.

04

Poor conversion

Spend climbs. Bookings do not move with it.

05

Offline engagement

Most of it happens off the system, unrecorded.

Five different problems — one operating system to solve all the problems.

The shift

Today, digital tracking stops at the lead. It should run all the way to the booking.

Everything before the lead is measured, optimised and owned by digital. Everything after it goes offline — and that is where the business is actually won or lost.

Grow digital share — with a system behind every lead.

The drop-off zone

One enquiry in ten gets a real conversation. The other nine are the opportunity.

Across the industry only 8–10% of enquiries are ever properly engaged. The rest are dialled once, missed, and left to age in a database.

That is not a lead-quality problem. It is a capacity problem — and capacity is the one thing a system can add without adding people.

8–10% engaged The 90% nobody goes back for

The system goes back for the ninety. On cadence, in the lead’s language, for as long as it takes.
AI nurturing is not an extra feature — it is where most of the business could be.

Why digital buyers are lost

The lead didn’t enquire with you. They enquired with four builders in five minutes.

Friday night · one buyer · four enquiries
Your projectEnquiry sent · 11:47 PM
Another builderEnquiry sent · 11:47 PM
A thirdEnquiry sent · 11:49 PM
A fourthEnquiry sent · 11:52 PM
11:47 PM · intent is at its peak 10:30 AM · the first call lands
Friday, 11:47 PM Saturday, 10:30 AM

Intent was highest at 11:47 PM. It was never that high again.

The window

The lead’s window is open for minutes. Everything they need has to arrive inside it.

A lead researches in bursts — a few minutes on a phone, usually late at night. Inside that window they want price, plan, possession and location. Whatever they do not learn from you in those minutes, they learn from somebody else.

The browsing window · the same night Interest fades →

The system never sleeps — so it reaches the lead inside the window, on whichever channel they will answer.

AI in action

AI doesn’t just answer the lead. It should also do the thing they asked for.

A reply is not an outcome. Inside the same conversation — on chat or mid-call — the system finishes the job. No ticket, no callback list, nobody on your team touching it.

“Can I come and see it on Saturday?”

WhatsApp · 11:53 PM
Site visit bookedSaturday, 11:00 AM · RM assigned · confirmation and map sent

“Send me the floor plan and the price.”

WhatsApp · 11:50 PM
Floor plan and price list sent3 BHK, 1,850 sq ft · link opened at 11:51 PM

“Sunday morning would suit us better.”

Voice call · 02:41
Site visit moved, on the callSunday, 10:30 AM · confirmed before the call ended

No ticket. No callback list. The answer and the action are the same moment.

AI ops · the operating layer

Between the campaign and the closer, there is a layer of repetitive work.

Demand Google · Meta · landing pages · enquiries · your old database
AI ops Runs every hour · on every project · the same way
First responseWhatsApp conversationsVoice conversations QualificationFollow-upsRemindersLead scoring RoutingNudgesSummariesRecommendationsAttribution
Your people Relationship · judgement · negotiation · the site visit · the close

That is the layer we run — set up once, then the same on every project.

The economics of an AI operating layer

Scale the system.

The old arithmetic is simple. More campaigns means more leads, which means more contact-centre agents, more RMs, more supervisors and more coordination. Volume and complexity grow together.

The operating layer is the part that repeats. That is the part we automate. Nobody is replaced — the system takes the work that was never selling.

Operating headcount & complexity Traditional add volume, add people the people you never had to hire With an AI operating layer add volume, keep the team Volume of leads, campaigns and projects →

AI scales the operating layer. Humans scale the relationship and the sale.

NewLive human handoff

High intent can’t wait for a callback. A human joins in seconds.

The moment a buyer’s interest turns into intent — asking for the final price, ready to book the visit — ClikIn connects them to the first available human agent within seconds. And it’s a warm transfer, in chat or mid-call on voice: your agent steps into the same live conversation, fully briefed, and the buyer never repeats a word.

  • Intent, spotted the moment it happens

    ClikIn reads every reply — typed or spoken — as it lands. When interest turns into buying intent, the score spikes and the handoff starts on its own.

  • Straight to the first available agent

    High-interest leads don’t join a queue. ClikIn finds whichever agent is free right now and connects the buyer within seconds — not a callback, a conversation.

  • A warm transfer, never a cold ticket

    The AI introduces your agent into the live conversation, hands over the whole context, and steps back. One conversation, no restarts.

  • Mid-call handoff, even on voice

    Talking to Nova on the phone? The moment intent spikes, Nova brings the human onto the same live call — briefed, mid-sentence. No hang-up, no redial.

The gap

Imagine — 48 leads arrived Monday morning. One of them is a buyer.

ClikIn predicts who that buyer is from the first conversation, sharpening the read with every reply — so your team’s effort goes to the right person, first.

The real gap is knowing where the effort should go.
AI finds the buyer — your RM’s whole day goes to her.

11:47 PM to 8:00 AM

What happened while the office was shut.

The system worked the night shift on its own — every question answered while the whole team slept. By the time Ridhima sat down on Saturday morning, the work was already done.

  1. She clicks the ad and lands on her project pageBuilt on clikhome.in, the consumer experience — the campaign that brought her arrives with her.
  2. She’s greeted and asked what she’s looking forA real question, and a real answer — a conversation from the first minute.
  3. Budget, timeline and configuration are on recordBecause she was asked, in the course of the conversation.
  4. A Saturday visit is offeredWhile she’s still reading about the flat.
  5. Everything is written into her recordThe thread, the answers, the campaign, the score.

The office opens

  1. Ridhima opens Priya’s briefWho she is, what she wants, how serious she is.
  2. The first call of the day goes to a buyer who’s readyOne qualified buyer, picked out of forty-eight.

The conversation started nine hours before anyone came to work.

WhatsApp replies typically land in seconds. Every channel responds within two minutes.

Saturday, 8:00 AM

Ridhima starts the call already knowing.

Everything, in one brief: what Priya asked, what she can spend, when she wants to move, and which ad brought her here. Every click, message and visit becomes one record — ready before the phone rings.

Priya R.

3 BHK · Lakefront Residences

92 Score
  1. Came fromMeta · 3 BHK Lakefront
  2. Talked on WhatsAppFriday, 11:47 PM
  3. Moving fromWhitefield · family of four
  4. Wants to moveWithin 60 days
  5. Asked aboutSchools, light, possession
  6. Visit offeredSaturday, 11:00 AM
Ready for a call. She asked about schools — lead with that.
clikwork.co · the RM worksurface

From records to understanding

The CRM records the lead. ClikIn understands the buyer.

Everything that matters about a buyer gets said out loud — in a chat, on a call, at a site visit. A CRM keeps the five fields around it.

Traditional CRM

The lead record

  • Name
  • Phone
  • Source
  • Status
  • Follow-up

Five fields. Everything else was said out loud, and lost.

ClikIn.ai

Buyer intelligence

What it hears
  • WhatsApp threads
  • Voice calls and transcripts
  • Email and meetings
  • Site visits
  • Questions and objections
  • Budget and configuration talk
What it works out
  • Who is likely to buy
  • Why they will buy
  • When they will buy
  • What actually matters to them
  • What should happen next

A lead record tells you somebody enquired. A conversation tells you whether they will buy.

Lead score · ClarityIQ

Hot, warm and cold are labels. We’re looking for the combination that books.

ClarityIQ reads the signals a lead gives off, then looks for the combination that has led to bookings before — and goes and finds more leads who look like them.

ClarityIQ score 92 Hot · ready in 60 days

Matches the buyers who booked: asked about schools, moving in 60 days, replied after 11 PM.

Every booking updates the pattern. Next month’s score is sharper than this month’s.

What should happen next

Your CRM tells you what happened. ClikIn tells you what to do next.

The system does not just show your team a pipeline. It reads every conversation as it lands and says — by name, by buyer, by hour — where the next hour should go.

It is not a dashboard.
It is a to-do list written by the buyer.

Today · what needs attention clikwork.co
  1. Call Priya now — intent just spiked.Score 94. Asked about price twice in four minutes.
  2. Open with schools when you call.Schools raised in two separate conversations.
  3. Offer Saturday, 11 AM.Asked what the site looks like on a weekend.
  4. Send the floor plan on WhatsApp.No reply for 24 hours — and this one still looks real.
  5. Show the east block 2 BHK.Budget is ₹20L under the unit being pitched.
  6. Vikram has three buyers waiting since Tuesday.Follow-up overdue. Two of them are scored above 80.

CRM · clikwork.co

The whole journey, one screen.

Lead · Priya R. — 3 BHK AI assisted
Pipeline
  1. New
  2. Qualified
  3. Meeting
  4. Site visit
  5. Booking
Journey
  1. Meta lead formCampaign · 3 BHK Lakefront
  2. WhatsApp AI conversationBudget & timeline captured
  3. Qualified by AIHigh intent · ready in 60 days
  4. Site visit scheduledSaturday 11:00 · RM assigned
AI summary
Generated

End-user, comparing two projects, finance pre-approved. Prefers east-facing. Decision window: this quarter.

92 Score · hot

Pipeline, journey and summary in one place — so nobody has to reconstruct the story.

A new category

The CRM. The AI workforce. The automation. The analytics.
All of it — one operating system for the sale.

Everything in one system, between the money you spend and the flats you sell — a single unbroken thread from ad click to registration, sharper with every sale it sees.

Marketing
AI workforce
Buyer intelligence
Sales intelligence
Your RM
Booking
Actionable feedback
Learning engine
Sentiment analysis
Every booking teaches the system

The AI workforce

Six specialists. One conversation.

Priya only ever spoke to Lakefront Residences. Behind that, six agents each did one job — and Helix kept them working as one.

Scout

Catches every enquiry, and remembers which ad it came from.

ClarityIQ

Works out who’s serious, and clears out the duplicates.

Aura

Keeps the WhatsApp conversation going, at any hour.

Nova

Picks up the phone, and makes the call back.

Vaia

Sets up the meeting and the site visit — scheduled, confirmed, reminded.

Scribe

Writes it all down, so every question is asked exactly once.

Helix

Carries the context between them, so the buyer tells her story exactly once.

clikhome.in

The consumer experience — where Priya browses the project, chats and books her visit.

 clikwork.co

The RM worksurface — where Ridhima opens the brief and runs her day.

Sales intelligence

What are your buyers actually saying?

Not how many calls were made. What was asked, what was refused, what kept coming back — read across every conversation, every week.

Every thread · every call · every meeting

Read by the system, not by your managers.

Example output
  • Price comes up in four of every ten conversations. Almost all of it in the 3 BHK east block, and almost always after the floor plan is sent.
  • Buyers who ask about schools book twice as often. So the school list now goes out in the first reply, before they ask.
  • Site-visit requests cluster on Thursday and Friday nights. Saturday slots are opened before the weekend campaign goes live.
  • Two RMs close what everyone else only qualifies. Their openings are now the playbook the rest of the team is given.
  • Possession date is the question that ends conversations. Answered in the first two minutes, the thread runs four times longer.

Thousands of conversations. Five things you can act on this week.

Campaign intelligence

Don’t optimise for the cheapest lead. Optimise for the campaigns that create buyers.

Two campaigns. Same month, same project, same team. One of them wins every marketing review. The other one sold the flats.

Campaign A

The cheapest leads

Cost per lead
₹380
Leads
420
Qualified buyers
9
Bookings
0

Three times cheaper. Nothing to show for it.

Campaign B

The best buyers

Cost per lead
₹1,240
Leads
130
Qualified buyers
41
Bookings
3

Three times dearer. Three flats sold.

Illustrative comparison, shown to explain how budget decisions change when bookings — not lead cost — are the measure.

The system knows which campaigns create buyers, because it is still watching at the booking.

Performance marketing

Campaign spend, tracked to outcome.

Meta, Google and your landing pages run from one console — and every rupee stays attached to what it produced, right through to the booking.

Campaign console Live attribution
MetaGoogleLanding pagesAnalytics
Qualified pipeline 30 days
Spend → leadTracked
Lead → visitTracked
Visit → bookingAttributed

Illustrative view of the campaign console.

Revenue intelligence · powered by BigQuery

Every click, every word, every rupee — one warehouse.

Every booking traced back to the campaign that made it — and every stage back to the rupee that started it, live.

Signals in
  • Campaign events
  • WhatsApp threads
  • Voice transcripts
  • Site-visit outcomes
  • Bookings & registrations
BigQuery

Every event, conversation and outcome — queryable in one place.

Intelligence out
  • Live dashboards
  • ClarityIQ scoring
  • Campaign attribution
  • Funnel & cohort analytics

Marketing, sales and leadership read the same numbers — live.

The learning loop

Every booking teaches the system how to find the next buyer.

What it learns
  • Openings that get repliesby project, language and hour of night
  • Answers that predict bookingsso ClarityIQ scoring sharpens every week
  • Campaigns that create buyersand what they cost — budget follows results
  • When to message, when to callcadence tuned to each buyer

If it happens on the system, the system learns from it. Next quarter converts better than this one.

The big idea

Automation makes it efficient. The loop makes it compound.

Automation is a step change. Answer in seconds instead of hours, qualify at midnight, cover every campaign. That improvement arrives once, and then it is simply how you work.

The loop is a different thing. Every conversation and every booking teaches the system which campaigns to buy, which openings work and which buyers are real. That improvement arrives again every month.

Linear · spend more, get more Compounding · the same spend works harder
Quarter 1 Quarter 6

Same team. Same spend. A system that knows more every month.

This is why the system is worth more in year two than it is in year one.

What changes

Future with ClikIn.ai

  1. Every lead dialled by hand

    Every lead called by the system, in seconds

  2. First reply in hours, if the office is open

    First reply in seconds, at any hour

  3. Qualification waits for someone to work the list

    Qualified in the first conversation, in seconds

  4. Trackers spread across six tools

    One system, one record

  5. The trail stops at the lead

    The trail runs to the booking

  6. The RM walks in cold

    The RM walks in briefed

  7. You add people to add volume

    You add volume without adding people

You own the sale

Inventory. Pricing. Negotiation. Booking. Registration. Collections. The relationship with your buyer.

We run the system

Demand. The consumer experience on clikhome.in. The AI workforce. Buyer intelligence. The RM worksurface on clikwork.co. CRM. Scheduling. Attribution and analytics.

What we need from you

For the system to learn, it has to see the whole journey.

None of this is an IT project. It is the difference between a system that reacts and a system that gets better.

01 System integration

ClikIn.ai and your CRM talk to each other. Leads and customer records move both ways, so there is one version of every buyer.

02 Performance marketing visibility

Meta and Google — campaigns, creative, spend, clicks and lead outcomes — so the system can learn what produced buyers, not just leads.

03 Process configuration

Your qualification logic, RM ownership, VC and site-visit process, handoffs and SLAs — configured the way you actually sell.

04 Outcome feedback

Site visits, bookings and registrations, returned to the system. Without them we know which campaigns made leads, never which made revenue.

05 On-system execution

WhatsApp, voice, email, meetings and follow-ups happening on — or captured by — the system, wherever that is practical.

What your AI cannot see, it cannot improve for you — next day, next week, next month.

Everything on this page is in production

Test it from your phone. Right now.

These are the production endpoints — the same live numbers a buyer would use today.

+91 80353 13164 Call it — Nova answers Dials from your phone +91 80353 74505 Message it on WhatsApp — Aura replies within two minutes Opens WhatsApp
mana.clikin.aiThe engine mana.clikhome.inThe consumer experience clikwork.coThe RM worksurface

Getting started

Live in four weeks.

  1. Week 1Connect

    Campaigns, numbers and channels wired in.

  2. Week 2Configure

    Your projects, your inventory, your journeys.

  3. Week 3Train

    The agents learn your brand and your buyers.

  4. Week 4Launch

    Real buyers, real scoring, real dashboards.

How we engage

Two ways to engage.

Both models run the same system, end to end. The only difference is who pays the ad platforms.

Model 1

Fully run by ClikIn.ai

Performance marketing, the AI workforce, CRM, the RM portal, customer engagement and virtual-meeting support — operated end to end.

  • One-time setup
  • Success fee per booking
  • Performance-marketing spend included

No other costs

Model 2

You pay for performance marketing

Everything in Model 1 — with performance-marketing spend paid directly to the ad platforms.

  • One-time setup
  • Success fee per booking
  • Ad spend paid direct to Meta and Google

No other costs

Setup and success-fee figures are shared on a call, against your project mix and volumes.

Talk to sales

ClikIn.AI earns only when you earn.

The point

Your sales team, with an operating system behind it. Every conversation starts warm.

Every buyer gets answered when they ask. Every RM gets the whole conversation before they dial. Every rupee is traced to the flat it sold.

Talk to sales Test the live system

AI first · Human assisted · Data driven