Threesy packs PMAX with the data
When you ask Sebastian Pürstinger what annoys him the most as an agency head, the answer comes as if shot from a pistol: "Burning money in campaigns without knowing which products are to blame."
1 May 2025
Sebastian Pürstinger is the founder and managing director of threesy – a performance agency dedicated entirely to e-commerce growth. Together with his team, he supports DTC brands and online retailers in strategically increasing their sales: data-driven, cross-channel, and always with a focus on measurable results.
Get more out, waste less. With Labelizer, Threesys' budget is directed to where it really makes an impact.
21 %
ROAS in 90 days
18 %
“Amazon is an important sales channel for many of our customers,” says Sebastian. “But sustainable growth only occurs when Google Shopping and Performance Max are sensibly integrated into the setup.”
This is often the crux of the matter: Google PMAX offers enormous reach but little transparency.
“In the end, you know what a campaign brings overall. But which products really contribute – and which just consume budget – remains in the dark,” explains Sebastian. The result: optimizations happen blindly. Budgets are allocated without knowing what is truly worthwhile. A feeling many marketers can relate to.
Then the Labelizer came into play
In search of a solution, threesy came across the Labelizer from Label Up, a tool that automatically segments product feeds based on ROAS and click data. For Sebastian, it was clear right away: this is exactly what has been missing.
“The moment we saw the label classification for the first time was an aha moment,” recalls Sebastian.
Instead of unclear performance data and rough gut decisions, there was suddenly a simple yet highly effective structure:
🏆 Champions – Top performers with high ROAS and lots of traffic
✨ Potentials – Products with strong profitability but low visibility
🔥 Wasters – Budget consumers with many clicks but poor performance
🌙 Sleeper – Products with no visibility and no sales
This classification now gives the team at threesy a clear overview of the true drivers and brakes in every product portfolio. No more scrolling through Excel spreadsheets. No more time-consuming manual evaluations. Instead: immediate clarity at a glance.
“We could immediately derive actions – and that with just a few clicks,” says Sebastian. “The Labelizer not only took work off our hands but fundamentally changed our entire approach to campaigns.”

"The moment when we saw the label classification for the first time was an aha experience"
Sebastian Pürstinger
CEO @ Threesy GmbH
More impact, less effort
For the team at threesy, product analysis used to be a real time sink.
“We regularly tried to figure out which products really perform – using filter functions in Google Ads, pivot tables in Excel, and a lot of gut feeling,” says Sebastian. “Not only was that labor-intensive, but it was also prone to errors.”
Especially with larger product portfolios, it was often hardly possible to reliably assess which items were actually responsible for revenue and ROAS – and which simply burdened the budget.
“If you have 300 or 1,500 products, you quickly lose oversight without a clear structure.”
With the Labelizer, this guessing game is a thing of the past.
“Today, we can see at a glance where the lever lies – and all without additional tools, complex setups, or manual evaluations,” says Sebastian.
The labels are visible directly in the feed and can be flexibly used in any campaign structure. Whether as the basis for asset groups in Performance Max or for custom labels in Shopping – threesy is now working with it in almost every client project.
Particularly helpful: The Labelizer works independently of the size of the shop.
“Whether it's a small DTC brand with 50 items or a wholesaler with several thousand products – the system scales with it and provides us with real insights in both cases,” says Sebastian.
Conclusion from Sebastian:
“Those who do not understand their products miss out on performance.
The Labelizer shows us in seconds where we should scale – and where we should stop.”
What seems like a black box for many advertisers is today a data-driven basis for decision-making for the team at threesy. More clarity, better results – and finally control over what is really happening in the feed.













