Track ad spend to hotel bookings.
ProfitTracker shows which campaigns, keywords and channels lead to confirmed reservations, and which ones only generate clicks.
We connect to the tools you already use. Your ad accounts. Your booking engine. Your PMS. Nothing migrates.
Spend is easy. Return isn't.
Most hotels know what they spend. Few know what it returns.
We connect ad platforms to your booking engine and PMS to show which channels drive real reservations.
| Channel | Spend | Bookings | Cost / booking |
|---|---|---|---|
| Google Ads | €3,840 | €18,400 | €32 |
| Microsoft Ads | €1,260 | €4,720 | €28 |
| Meta Ads | €2,190 | €2,950 | €110 |
| Direct | €0 | €6,120 | — |
| Total | €7,290 | €32,190 | €44 |
Independent and honest
We don't sell ads. We measure them. Our reports show what's there. Sometimes that's uncomfortable.
Most hotels never find out.
Every keyword, profitable or not
Most hotels run Google. Some hotels should be running Microsoft.
Boutique city hotel? Microsoft Ads is often half the cost of Google for the same booking. The audience skews older and higher-income. Aparthotel chasing remote workers? Reddit. Conference hotel? LinkedIn. Younger demographic? TikTok or Pinterest.
Comparing six platforms honestly is a full-time job. And every platform has an interest in its own numbers looking good.
We connect to all six. You see one report. You decide where to spend.
Honest numbers, even when they shrink.
The amount of ad activity that can be tracked is getting smaller, not larger. GDPR consent banners block parameters. Apple strips tracking from links. Cookies are dying. Email opens are unreliable.
Guessing harder, or worse.
We show you what's verified. Typically 40–50% of bookings, matched to specific clicks via your booking engine. The rest, we tell you we couldn't prove. And we'll show you why.
Typical breakdown for a mid-sized hotel.
AI on your data, not on guesses.
We use AI too. On data we can show you the receipt for. Patterns in your own bookings, your own spend, your own returning guests.
Competitors claiming “95% AI attribution” are running models on data they don't have access to. Or modelling a 12-booking-a-month hotel against averages from a 1,000-booking enterprise.
Different size hotels need different maths.
Coming soon: opt-in pooled benchmarking. Hotels who choose to share anonymised patterns get insights drawn from real verified data across other hotels.
We record platform, campaign, keyword and cost.
We read bookings from your booking engine and PMS.
We connect the dots and link bookings to the right campaigns.
See what works, what doesn't, and where to invest next.