Ad Spend

How Zahnheld was able to easily scale to a six-figure advertising budget range!
With Zahnheld, brushing your teeth is no longer a chore, but a real experience that you will look forward to every morning and evening. More than 50,000 customers are proof of this.
Understanding the customer journey
On multiple six-digit ad spend
“Anyone working without Tracify in the future will find it very difficult to make the right decisions for their company. Only brands that measure correctly will survive!”
Challenges
“Before we started using Tracify, it was very difficult to see which advertising tools worked really well. In particular, Meta's (mostly) delayed data made it very difficult for us to quickly optimize our ads when we had higher daily ad spending.” - Noël Beck (Head of eCom Department)
Consequences
- They relied on Meta attribution, which resulted in lost time and revenue because the wrong ads were scaled.
- I had to guess the best performing ads and couldn't compare performance to sales cycles longer than 7 days.
- On days when a higher daily turnover was required (such as Black Friday), we were unable to optimize with certainty.
Solution
We've adopted Tracify as the source of truth for real-time and multi-channel analytics. Since implementation, all clicks have been tracked by our patent-pending tracking technology. We have also introduced multichannel analysis, which Zahnheld uses to better understand various parts of the customer journey.
Result
Our learnings
Longer sales cycles in comparison
The ability to compare longer sales cycles became the key for Zahnheld to to better understand the customer buying process. This resulted in more advertising spending being put into Meta.
Social ads helped Amazon
Sales on Amazon skyrocketed after Zahnheld gained more attention in its target market by scaling ads on social media (e.g. on Meta).
Why Tracify?
- Trust in the best performers, which Tracify identified, had a positive impact on sales.
- Give convenient thanks to real-time data more than 10,000€/day off.
- Able to longer attribution cycles Can be seen as 7 days.
- Overall faster iterations and scaling.









































