From Gut-Based Pricing to Data-Driven Growth: How Unreal Estate Scaled to 150 Listings Across India

Building a Modern Hospitality Brand in India

When the founders of Unreal Estate started their short-term rental business in early 2024, they weren’t trying to create another side-hustle Airbnb operation.

They had a bigger vision.

“We wanted to run it as a business and turn it into a hospitality brand,” says Faazil Clipwala from Unreal Estate.

Founded in Bangalore, Unreal Estate focuses on professionally managed 1BHK, 2BHK, and villa stays across India. Instead of offering traditional hotel rooms, the company provides fully furnished apartments and villas that combine the comfort of a home with the convenience of a hotel.

The idea came from observing a major gap in the Indian hospitality market.

“In India, Airbnbs are usually treated as a subplot, someone has an extra apartment and lists it online,” Faazil explains. “We wanted to bring the culture of Airbnb as a professionally managed hospitality business, like how it works in western countries.”

That vision quickly gained traction.

Today, Unreal Estate manages nearly 150 listings across Bangalore, Goa, Mysore, and Pune, with plans to expand further into Mumbai and other major cities.

But scaling fast came with operational complexity.

The Challenge: Scaling Pricing and Operations Across 150 Listings

As Unreal Estate expanded, the team realized that manually managing pricing across dozens, and eventually hundreds, of listings was unsustainable.

Before using PriceLabs, pricing decisions were largely based on intuition and periodic manual updates.

“We were basically adjusting prices based on gut feeling,” says Abdulahad Tinwala from Unreal Estate. “We had some internal benchmarks, but it wasn’t dynamic or data-driven.”

Like many fast-growing operators, the team relied on Airbnb’s native pricing tools and manual market research. But as their portfolio grew, that approach began leaving revenue opportunities on the table.

“There was a lot of money being left on the table, especially during high-demand seasons,” Abdul explains. “And during low-demand periods, we weren’t competitive enough.”

The challenge became even more critical as the company expanded into highly competitive markets like Goa.

“Goa is extremely competitive,” Faazil says. “A lot of people run villas and apartments there, so pricing becomes very important. We needed a better way to understand demand, occupancy, and what similar properties were charging.”

Beyond pricing, the team also faced operational and market-level challenges:

• Managing guest experience consistency across 150 listings
• Navigating varying short-term rental regulations across Indian cities
• Balancing occupancy, staffing, and operational costs during volatile demand periods
• Evaluating whether new properties and markets would actually be profitable before investing

The team needed a scalable revenue management solution that could help them move faster while making smarter decisions.

Why Unreal Estate Chose PriceLabs

Unreal Estate first discovered PriceLabs while actively searching for a dynamic pricing solution.

“We realized pricing was becoming a very real problem,” says Faazil. “That’s when Abdul suggested we attend a seminar and speak with the PriceLabs team.”

The team immediately saw the value.

“What we realized is that top-level hotels have their own revenue management systems,” Faazil explains. “PriceLabs gave us something similar, but in a way that was convenient and practical for our business.”

The onboarding process was smooth, and the Unreal Estate team quickly began exploring PriceLabs’ dynamic pricing capabilities.

But one feature stood out almost immediately: Revenue Estimator Pro.

Using Revenue Estimator Pro to Expand Into New Markets

Before entering Goa, Unreal Estate used Revenue Estimator Pro to evaluate the market opportunity and validate investment decisions.

“We used Revenue Estimator Pro to analyze similar listings in the area,” Abdul says. “It gives us ADR, occupancy, and revenue estimates so we can make informed decisions instead of relying only on instinct.”

The tool helped the team assess whether specific property types and locations would be profitable before signing leases.

“For example, if we’re looking at a 3BHK in Assagao, we can see what similar properties are charging and how much revenue they’re generating,” Faazil explains. “That helps us decide whether the numbers make sense before we commit.”

Instead of relying entirely on assumptions or fragmented market research, Unreal Estate could now combine local expertise with data-backed projections.

The Results: Higher Revenue, More Bookings, and Smarter Scaling

Since implementing PriceLabs in late 2025, Unreal Estate has seen measurable improvements across its portfolio.

According to the team:

• Revenue increased by 8–10%
• Nights booked increased by 20–30%
• Pricing decisions became significantly faster and more scalable
• Market analysis became more reliable when evaluating expansion opportunities

“The improvement has been huge given the number of listings we operate,” Abdul says.

The biggest operational win? Reducing the time and mental bandwidth spent constantly adjusting pricing.

“With dynamic pricing, we no longer have to think about pricing all the time,” Faazil explains. “It allows us to focus on other parts of the business. The support from PriceLabs has been immense.”

Advice for Short-Term Rental Operators

Unreal Estate team emphasized adaptability and strong fundamentals.

“Be open to learning,” says Faazil. “Initially, we were very fixed in our ways, but over time we realized we needed to adapt and use tools that could help us scale.”

Abdul adds, “Focus on fundamentals before scaling. Get the product right first, listing quality, guest experience, operations, and then use data to make smarter decisions. You can’t rely only on emotions or only on data. You need both.”

As Unreal Estate continues expanding across India, PriceLabs remains a key part of its growth strategy, helping the team scale smarter, optimize revenue, and make more confident market decisions.