How we helped Marpur grow revenue by 62.55% while reducing its advertising budget

Marpur is a Polish brand and manufacturer of mattresses and beds, offering complete bedroom solutions. The company runs a single physical showroom in Kepno and sells mostly online, reaching customers across Poland. The brand is also growing on the German market, expanding its presence beyond the country’s borders.

Our team began by thoroughly restructuring the entire account rather than looking for minor optimisations on the surface of the problem. We wanted to stop the drop in sales quickly and, at the same time, build the foundations for further, safe scaling.

Restructuring the Google Ads campaigns

The client’s campaigns were competing against each other. One shared Performance Max campaign handled both mattresses, the true core of the business, and beds, which accounted for only a fraction of sales yet consumed budget on a par with the main product. The algorithm had no clear signal about what it should promote, and we had no control over which ads actually reached customers.

The first step was therefore to split Performance Max into separate structures – one responsible for mattresses and one dedicated to beds. As a result, the campaigns stopped competing for budget and started pursuing a clearly defined goal, while we gained real influence over which products were promoted.

Simplifying and segmenting Meta Ads

On Meta the problem looked different, but it called for an equally decisive approach. The previous structure was extensive and heavily focused on remarketing – the client kept returning to the same, already interested people instead of building demand among new users.

We simplified everything into a single Advantage+ campaign, within which we carefully arranged audience segments so that we knew exactly who the communication was reaching. We deliberately moved away from the previously dominant remarketing towards broader reach and new customer acquisition, because that is where we saw the greatest untapped potential. While the budget was still low, instead of scaling immediately, we gave the algorithm time to learn.

Gradual and responsible budget scaling

Rather than diving into the deep end, we first let the campaigns gather enough data for stable optimisation. We then watched how ROAS behaved with small, controlled budget increases, and only on that basis did we make further decisions.

Importantly, we did not look solely at attribution from the advertising platforms themselves, but above all at the return across the entire store. That was our ultimate test of whether a given budget mix really paid off. This approach allowed us to avoid unnecessary risk: month after month we built evidence that the product and the campaigns were ready for bolder moves.

Adjusting activity to seasonality

When the client signalled that peak season was approaching, we were already prepared to react decisively. We increased budgets in both Google Ads and Meta Ads, based on the data gathered during the previous, quieter months. That moment showed that the earlier patience and the gradual building of foundations had been worth it. When the time came for aggressive scaling, we were confident the budget would be spent effectively.

Launching advertising on TikTok

Using the client’s existing content, we launched advertising activity on TikTok. We did not treat this channel as a direct source of sales, but as a brand-building element – a way to show the brand and its products to a wider audience and to support the remaining advertising channels.

Refreshing the creatives

In parallel, we worked on visual communication. Together with the client we introduced more video material, UGC content and dynamic product ads (DPA), using a tool that supports their automation and visual quality. When we noticed the first signs of creative fatigue – declining performance despite an unchanged budget – we reacted quickly with new video material. That creative, tested and confirmed by data, later became the driver behind further budget scaling on Meta.

A billing model based on shared responsibility

Right at the start of the cooperation we proposed a billing model in which our remuneration grew alongside the real growth of the client’s revenue, instead of being based purely on a percentage of the budget spent. This approach showed that we were ready to share the risk and build results together with him, not merely settle up for the budget spent.

The activities we introduced brought the client a significant improvement in results. The effects of this strategy are best seen in the year-on-year comparison:

• Despite reducing the advertising budget by 5.12%, we achieved revenue growth across the entire business of as much as 62.55%. This result confirms that the campaigns started working far more efficiently than before, generating real sales growth at lower financial outlay.

• Over the same period, the average return (ROAS) across the whole business rose by 74.09% year on year. This showed us that the improvement was not limited to advertising attribution alone, but genuinely translated into the condition of the entire store.

These results are the best proof that a well-considered campaign restructure and careful, data-driven budget scaling really do pay off – even when you start from a very low base.

Our cooperation with Marpur is now entering a phase of international expansion. The client has been selling in Germany through marketplaces, including Amazon, for some time, and has just translated his own store into German – a signal that it is time to move from being present on the market to genuinely entering it.

That is why, over the coming months, we are placing greater emphasis on content and creatives, because these are what scale best. Our aim is to actively generate demand rather than simply capture what already exists – building brand awareness and showing the products to German audiences who are only just discovering the brand.