ROAS HACK

Overview

We partnered with a private dropshipping portfolio operating across multiple markets, where rapid product turnover, constant testing, and aggressive competition made profitable growth difficult to sustain. The challenge was not just finding winners — it was identifying them fast, validating them efficiently, and scaling before the market moved on. This framing is based on ROAS HACK’s description of rapid product turnover, extensive testing requirements, and diverse demand across regions.

What We Did

We improved the full path from product test to scale. That included optimizing the Shopify store experience, strengthening product pages and checkout flows, upgrading content and social proof, producing high-impact video creatives for faster testing, and building a more structured process for identifying and scaling winning products.

The Outcome

With a faster and more disciplined testing system in place, winning products were able to scale with stronger efficiency, while top performers consistently achieved 70%+ ROI after testing and optimization.

Closing Line

In a category where speed matters as much as margin, the advantage came from building a system that could test quickly, spot winners early, and scale with confidence. This closing takeaway is an inference from the case study’s focus on rigorous testing and rapid scaling. 

Overview

Talos IT was scaling in a complex acquisition environment where poor traffic quality, fraud, and fragmented testing were limiting performance. The challenge was not just driving volume — it was improving signal quality, optimizing faster, and making better decisions across a large number of landing pages, advertorials, offers, and creatives.

The Challenge

Fraudulent and low-quality traffic was distorting campaign data and making optimization less reliable. At the same time, the business needed a more scalable way to test landing pages, advertorials, messaging angles, and creatives without relying on slow manual processes.

What We Did

We rebuilt the system around smarter filtering, faster experimentation, and better visitor-to-offer matching.

We introduced an automated testing framework for landing pages and advertorials, allowing the team to validate more variations and identify winning paths faster. We improved optimization using indirect quality signals such as fingerprinting, on-site behavior, time-of-day patterns, and other performance indicators to better separate valuable traffic from noise. On top of that, we continuously tested offer angles, creative variations, and conversion paths to improve efficiency across the funnel.

The Outcome

The result was a cleaner acquisition system, stronger optimization signals, faster testing cycles, and significantly better performance across the board.

Closing Line

Instead of trying to scale through more spend alone, Talos IT built a smarter system — one that filtered better, learned faster, and converted more efficiently.

Overview

A growing European barbershop network had the demand, the locations, and the talent to scale — but growth was being held back by an inefficient customer acquisition system and uneven booking distribution across the team. Many barbers, especially newer or less visible ones, were underbooked. The business needed a way to generate more appointments, improve customer loyalty, and turn existing demand into a more predictable growth engine.

The Challenge

This was not simply a traffic problem.

The real issue was that too much potential demand was being lost between first click and completed booking. The path to appointment was creating unnecessary friction, the offer was not strong enough to consistently convert new clients, and the paid acquisition system was not structured to drive efficient growth at scale.

As a result, the business was leaving revenue on the table while certain barbers remained underutilized. Instead of creating a steady flow of new appointments across the network, the system was producing inconsistent outcomes and limiting overall growth. This framing is an inference from the challenge and solution described on the case study page.

Our Approach

We focused on the parts of the system most likely to unlock growth fastest.

1. We reduced booking friction
We streamlined the booking journey with a cleaner, more intuitive landing page experience designed to make scheduling faster and easier. The goal was simple: remove unnecessary resistance and improve post-click conversion.

2. We strengthened the offer
To improve new client acquisition, we introduced targeted promotional hooks — including complimentary style consultations and gift-driven offers tailored to specific audiences, such as women booking appointments for their partners. This gave campaigns a more compelling reason to convert cold traffic.

3. We rebuilt acquisition around efficiency
We overhauled the client’s Google and Meta ad accounts with tighter audience segmentation, more effective remarketing, and continuous A/B testing. Rather than just increasing spend, we focused on improving signal quality, campaign structure, and conversion efficiency so the account could scale on a healthier foundation. The emphasis on signal quality and efficient scaling reflects your pitch template’s positioning and is an inference from the page’s description of campaign restructuring.

The Result

By improving the booking experience, sharpening the promotional angle, and rebuilding paid acquisition around stronger conversion mechanics, the business achieved a step change in performance:

80% reduction in cost per appointment
300% increase in monthly new client leads