Driven by the ambition to understand every phase of the guest journey, Höfts leveraged bchic Analytics to make their online presence measurable, boost reservation conversions, and gain insight into guest behavior before their visit.
Website Reservation Conversion
lückenlose Datenerfassung
Impressions / Day
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Branche
Land
Organisationstyp
Monatliche Datenpunkte
Measurement Period: 3 Months
For years, Villa Kellermann on Heiliger See in Potsdam was home to Tim Raue's Michelin-starred cuisine. Today, Höfts is writing the next chapter: German cuisine, a relaxed atmosphere, a place where everyone is welcome, even those who simply want to enjoy the lake view.
It was clear to the team early on: this aspiration had to be met digitally, not just with a beautiful website, but with a genuine understanding of who the guests are and what they do before they make a reservation. Therefore, the website was designed with a data-driven approach from the very beginning.
A restaurant knows a lot about its guests once they are seated at the table. It rarely knows how they arrived or what interested them on their way there.
Which menus do visitors open? Which dishes do they study? What search queries lead them to the site? Traditional tools lose half the answers right here, because cookie banners don't even capture a large portion of visitors. Höfts faced the task of not just guessing the digital customer journey, but making it measurable: GDPR-compliant, without annoying banners, and with a clear understanding of what the numbers mean.
Since its launch, Höfts' website has exclusively been running bchic Analytics, completely cookieless, without banners, and GDPR-native. Every visitor is anonymously tracked, with no data loss.
The real difference, however, is not in the technology. Before the first line was tracked, the bchic team, together with Höfts, defined the central questions: What constitutes success? Which intermediate steps lead to it? What signals reveal the purpose of a visit?
This didn't result in a dashboard that needs to be deciphered, but a data foundation that provides answers, in natural language, where they are needed.
Through the connection to Google Search Console, linked via the bchic-MCP-Engine, Höfts sees in real-time for which search queries it appears and which ones actually click.
Organic visibility has clearly grown since the launch: from around 200 impressions per day in the first few weeks to recently up to 1000 per day. On average, around 17% of searchers, a good rate that shows the page meets the search query's expectation.
For the central search terms related to Villa Kellermann, Höfts maintains top positions at number 1 (average position 1.1 to 1.2). This means: Anyone searching for the house is reliably directed straight to Höfts. The strong demand for the brand is fully captured, without reliance on paid advertising.
This is the part that traditional analytics don't even see: Through menu tracking, bchic records which menu a guest opens, and thus, what occasion they are interested in, long before a table is reserved.
The picture is clear:
This way, marketing knows what occasions and interests truly motivate guests.
Ultimately, the key question is: How many visitors actually want to make a reservation? Throughout the entire period, around 14.3% of all visitors showed a clear reservation intent, they click on 'Reserve' or proceed directly to the booking system. With the OpenTable integration, the picture becomes complete: Around 93% of these actually complete the reservation.
A new channel is emerging: visitors who come to the site via AI assistants like ChatGPT. The channel is still small, accounting for around 1.3% of traffic or 177 visitors during the period. However, their behavior is noteworthy: 55 of these 177 visitors demonstrated reservation intent, which is approximately 31%, compared to around 14.3% across all channels. Visitors arriving via AI thus show almost double the intent.
This is precisely the kind of signal that bchic has been capturing from day one, whereas traditional tools often fail to properly attribute AI traffic. Those who can already see how this entry point is developing today can strategically expand it instead of missing out.
No one at Höfts needs to read a dashboard. They simply ask, in plain language. And they iterate: ask a question, test a hypothesis, adjust, ask again. The answer is delivered where it's needed.
Underpinning this is the technical foundation: fast loading times and seamless navigation, with Web Vitals natively measured by bchic. All of this is cookie-free, GDPR-native, and without banners. Full visibility into guest behavior, without privacy risks.
With bchic Analytics, Höfts was able to digitally uphold its standard of hospitality, gaining a clear picture of who their guests are, how they plan, and where they come from. What we see here is more than just a single success: It's an indication of how data-driven hospitality will work in the future: GDPR-native, KPI-driven, and guest-centric.
