It’s almost part of my daily workflow to look at Zipy sessions. That’s how critical it is.

The Challenge: Understanding User Behavior at Scale

PriceLabs, a global leader in dynamic pricing solutions for the short-term rental industry, operates in a product-led, self-serve environment. With customers in 150+ countries, ensuring a seamless user experience across the board is no small task.

“With a self-serve model, we don’t get to speak to most users. So how do we understand what they’re doing, where they’re struggling, or what’s working?”

That question was central to Pallav and his team’s growth efforts. While traditional product analytics offered numbers and trends, they didn’t always explain why a user dropped off, got stuck, or converted. The team needed real visibility, session-level observability that could guide decisions and surface key insights.

The Zipy Solution: Visibility, Speed, and Smarter Decisions

Zipy became a part of PriceLabs’ workflow across multiple teams. Here's how it's used:

Deep-Dive Into KPI Movements

When key metrics shift, Pallav’s team turns to Zipy to investigate.

“We start with the numbers, but Zipy gives us the context. We watch actual user sessions to understand if something unexpected happened, or if a flow didn’t work as intended.”

By identifying cohorts with unusual behavior and watching their sessions, the team uncovers friction points and optimization opportunities.

Smarter Feature Rollouts

Every new product or feature launch is paired with a Zipy session replay.

“We watch how users interact with new features, whether they engage with it, read the copy, or drop off. It’s super helpful for quick iterations.”

This helps the product team validate usability, understand adoption, and improve the onboarding experience in near real-time.

Data-Driven Meets Human-Centric

The analytics team uses Zipy to enrich their insights with session data such as device type, session length, and specific behaviors.

“We pull user-level data into our database to run deeper analysis. Zipy acts as the qualitative layer on top of our quantitative work.”

This hybrid approach allows for better segmentation and personalization efforts.

Smoother Customer Support

With Zipy integrated into their support channel, PriceLabs support reps instantly get session context and a relevant session URL directly in their ticket management platform.

“The support team was able to understand the user behaviour on the issue, so they responded better and faster. That really helps with customer satisfaction.”

It also reduces back-and-forth and cuts down time to resolution.

Real Efficiency Gains

“I just search by user ID, and I’m in. The session is usually right there, it’s quick and reliable.”

Zipy's user session ID-based search and clean UX make finding relevant sessions seamless. Their team can quickly cut through the noise and narrow down to the insights, even in large datasets.

What Stands Out Most? Support.

“You guys are ridiculously responsive. The Slack channel makes it easy to ask for anything, and I really appreciate the speed.”

The partnership between PriceLabs and Zipy is an example of how smart, targeted analytics can elevate digital experiences. Instead of just fixing issues as they come up, this integration helps PriceLabs take a more proactive approach, gaining a deeper understanding of user behavior and fine-tuning the customer journey. With real-time insights and a clear view of how users interact with their platform, PriceLabs is in a strong position to keep innovating and scaling its self-serve model. It’s not just about solving problems today, it’s about building a smoother, smarter experience for the future.