How One Proxy Provider Ditched Three Analytics Tools and Boosted Conversions by 26%

Running a fast-growing tech company means drowning in analytics tools. You've got Mixpanel tracking events, Hotjar recording sessions, and FullStory filling in the gaps. Before you know it, you're paying for three subscriptions, wrestling with three dashboards, and still building custom tools to connect the dots.

That's exactly where Webshare found themselves in 2021. As a leading proxy server provider serving over 100,000 users across 50+ countries, they were processing 250 billion proxy requests monthly. Their analytics stack? A fragmented mess that was holding them back rather than moving them forward.

The Problem: Too Many Tools, Not Enough Answers

Webshare's founder and CEO, Utku Zihnioglu, knew something had to change. The team was running constant experiments to optimize their product—that's how they'd grown so explosively since 2018. But their toolkit wasn't keeping up.

"We had to build our own tools for feature flags because Mixpanel doesn't do that," Utku explains. They were juggling Mixpanel for analytics, Hotjar for session replays, FullStory for additional insights, plus homegrown solutions to patch the holes.

The real kicker? Even with all these tools, they couldn't get a complete picture of their customer journey. Data lived in silos. Questions that should've taken minutes required hours of switching between platforms and cross-referencing dashboards.

If you're dealing with proxy-related workflows and need reliable infrastructure that actually scales with your experiments, 👉 Webshare offers high-speed proxy servers specifically built for data-intensive operations.

The Solution: One Platform to Rule Them All

In 2021, Webshare discovered PostHog and realized they could consolidate everything into a single source of truth. The switch wasn't just about cutting costs—it was about moving faster and making better decisions.

"We saw PostHog and realized it does everything we needed all at once, including feature flags," says Utku. "We just knew right away it was the right tool for us."

The team now uses PostHog for:

• Product analytics to track user behavior and conversion funnels

• Session replays to watch exactly how customers interact with their platform

• Feature flags to roll out changes safely and test in production

• A/B experiments to validate every product decision with real data

But here's where it gets interesting. Webshare didn't just replace their old tools—they turned PostHog into their entire data warehouse.

Running 20 Experiments at Once (Without Losing Your Mind)

"We're running about 20 experiments at any moment," Utku shares. That's not a typo. Twenty simultaneous experiments, constantly testing everything from button placement to pricing page layout.

Why so many? Because even tiny changes can drive massive results.

"Sometimes it's the small, ridiculous things which increase conversion rates," he explains. "Just moving a button from left to right, or tweaking the call to action, can increase conversion by 4-5%."

The team has experimented with explainer videos on the homepage, new payment methods to improve lifetime value, and countless variations of pricing page elements. Each test generates insights that compound over time.

Their biggest win? A seemingly minor tweak to their pricing cards that delivered outsized results.

The 26% Conversion Boost from Two Words

The most successful recent experiment involved changing the call-to-action text on pricing cards. Previously, the buttons displayed the price. The team tested adding "Buy Now" as the CTA instead.

The result? A 26% increase in conversion rates.

"That's ridiculous," Utku says. "Normally you see only a 5% change!"

This is the power of continuous experimentation. When you're testing 20 things simultaneously, you're bound to stumble onto breakthrough insights that dramatically impact your bottom line. And when your analytics infrastructure makes it easy to set up, monitor, and analyze these tests, you can move much faster than competitors stuck with fragmented toolsets.

For teams building proxy-powered applications or managing large-scale data collection, 👉 Webshare's infrastructure handles over 250 billion requests monthly with the reliability you need for accurate testing.

Building a Data Warehouse Inside Your Analytics Tool

Most companies keep their analytics platform separate from their data warehouse. Webshare flipped that script.

"Every email, every Intercom message—basically every time we interact with a customer on any platform—that all goes into PostHog," says Utku. "We track all of our KPIs there, as well as product usage, conversion rates, marketing campaigns, and so on."

They pipe in data from customer support interactions, email campaigns, payment systems, and more. PostHog became the central hub where all customer data converges, making it possible to analyze the complete customer journey in one place.

The only exception? They reluctantly maintain a Google Analytics account purely for ad platform integrations. Everything else flows into PostHog.

"That's why PostHog is our favorite tool—it's the single source of truth for us," Utku explains. "We wanted to move away from all these separate tools and put everything in one place. PostHog absolutely nails it."

What This Means for Your Analytics Stack

Webshare's story illustrates a broader trend in product analytics: consolidation wins. The era of stitching together five different tools to understand your customers is ending. Modern teams need platforms that can handle analytics, experimentation, session replay, and feature management all in one place.

The benefits go beyond just convenience. When your data lives in one system, you can move faster. You spot patterns you'd miss when information is scattered. You run more experiments because the friction of setting them up disappears.

Most importantly, you make better decisions because you're working from a complete picture rather than fragmentary insights.

If you're still juggling multiple analytics platforms, it might be time to ask whether that complexity is actually serving you—or just slowing you down.