You want more high-quality enquiries
Clicks alone are not enough: you want campaigns that lead to more and better enquiries, conversations and sales.
Clicks alone are not enough: you want campaigns that lead to more and better enquiries, conversations and sales.
You want to know where your budget is going, what delivers results and where optimisation is needed.
You want to increase volume without sacrificing quality or quantity.
We start with strategy before moving into execution. We actively advise, think along with you and always look for ways to improve.
We do not start with channels, but with what you actually want to achieve: leads, appointments, sales, high-quality traffic or remarketing with intent.
We run ads on Google, Meta, LinkedIn and any other platform where your audience is genuinely active and likely to convert.
We do not provide reports stuffed with superficial metrics. We focus on the numbers that matter for decision-making: lead quality, cost, channel contribution and growth.
Performance marketing only truly delivers when campaigns are consistently tested and refined.
We have extensive experience of working with Google Ads (SEA), Meta Ads (Facebook and Instagram), LinkedIn Ads, TikTok advertising and programmatic media buying. This breadth of expertise enables us to respond to every need. However, we will not be throwing every platform in the mix. Instead, we work with you to strategically decide which platforms make the most sense for your goals and budget.
Above all, we work towards a clear objective: do you want to increase sales or attract more customers? Based on this, we make sure your website tracking is properly set up so we can accurately measure the impact of your advertising campaigns. This allows us to clearly see whether our digital efforts are generating more leads or sales. Forget vague figures about impressions or clicks and receive clear proof of what delivers results.
We discuss the goals you want to achieve, your current business situation, your ambitions, the state of your website and everything else that may impact performance.
Next, we examine how your website tracking is set up and whether your landing pages are strong enough. If not, we fix those foundations before launching any advertising campaigns.
Once proper tracking is in place, we start building campaigns aligned with your objectives.
We continuously test and optimise where needed. Using data, we keep improving the performance of your campaigns over time.
You receive clear insights into impact, progress and the next steps in your online growth story.
During an initial conversation, we look at your goals, current approach, measurement setup and biggest opportunities. The start of a long-term collaboration, care to bet?
Not at all. Everyone is welcome at Comma, regardless of your company size or business stage. We are happy to explore the possibilities together with you.
We work with a very broad range of performance marketing clients. For example, we generate leads for training centres, consultancy firms, practices, school groups, cleaning companies, online retail chains, web shops and skilled tradespeople. Thanks to our broad portfolio, we can apply our expertise to virtually any case.
Not necessarily. In some cases, smaller budgets are even more interesting to challenge the advertising platform. Leave it to Comma to select the right platform based on your available budget and goals. For example, if you quickly want many applications for a vacancy, a social media campaign may deliver better results than launching an employer branding campaign through Google Ads.
Absolutely, that is our starting point. We do everything we can to generate more customers and sales. Still, there may be cases where campaigns simply do not work as expected. If that happens, we will proactively communicate it ourselves. Many businesses expect immediate returns, but if you have no historical ad account data or website statistics yet, you are effectively starting from scratch. That is why we always recommend giving campaigns in new advertising accounts enough time to learn and perform. We usually advise a testing period of around three months, although this may be slightly shorter or longer depending on how much data the algorithm has available to optimise itself.