How VacanceSelect increased bookings by 55% with AI-driven campaign automation 

Challenge

  • Focus on recovering the brand
  • Reach new customers
  • Reach new customers
    Increase market penetration
  • Explore new channels

PMax Automation

  • Scalable and efficient way of managing campaign

Results

  • +13.9% increase in unique visitors
  • +20% conversion
  • CTR uplift +1.6% with Adchieve
Adchieve and Vacanceselect

About Vacanceselect

VacanceSelect is one of Europe's leading providers of camping holidays and holiday parks. With thousands of accommodations across Europe, availability and customer demand change every day. Managing Google Ads campaigns at this scale requires more than manual optimisation—it requires automation driven by data.

The Challenge

VacanceSelect wanted to improve campaign performance while reducing the amount of manual work required to manage its Google Ads account.

The main challenges were:

 •  Thousands of accommodations with constantly changing availability
 •  Strong seasonal fluctuations in customer demand
 •  Manual campaign optimisation could not keep up with daily changes
 •  Advertising budgets needed to be allocated more intelligently

The goal was simple: automatically invest more budget in accommodations with the highest booking potential while reducing spend on lower-value opportunities.

Centraldereservas

The Solution

Together with Ascend Online, Adchieve developed an automated optimisation model that combines booking data with advertising performance.

Every day, the platform calculates a booking potential score for every destination and accommodation. This score determines how much visibility and budget a campaign should receive.

The model takes multiple factors into account, including:
 •  Accommodation availability
 •  Accommodation type
 •  Booking period and seasonality
 •  Historical booking behaviour
 •  Booking value
 •  ROAS and POAS performance

Historical data is automatically weighted using standardisation and exponential smoothing, allowing the model to continuously adapt to changing booking behaviour throughout the year.

 

How It Works

Step 1 – Collect Data

The optimisation process starts by combining booking data from VacanceSelect with Google Ads performance data. This creates a complete picture of both customer behaviour and advertising performance.

Step 2 – Calculate the Booking Score

The algorithm analyses all available variables and automatically determines their importance.  For example, accommodation availability receives a higher weighting than accommodation type, while historical booking patterns and seasonal demand are continuously incorporated into the model.

Step 3 – Optimise Campaigns

Every destination receives a booking potential score between 0 and 1. Campaign groups with the highest scores automatically receive the greatest visibility and budget, while lower-scoring groups receive less exposure. This process is fully automated and updated daily.

"The time investment to launch 50 ads manually was enormous. With Adchieve we have generated 2,500 ads for 2,500 hotels very quickly and efficiently.”

Laura Sanz Online marketeer
review

I could not have achieved these results without Adchieve in these last months. And we have achieved it in just a few months. Manually it could not have been done in a year, or even more. Now we are going to launch 600 new campaigns in the USA with the new domain: reserving.com.

Laura Sanz Online marketeer
review

Results

Comparing this first new  year with the previous year, the automated optimisation strategy delivered impressive improvements.

 Why This Approach Worked 

Rather than relying on fixed campaign settings, the optimisation model continuously responds to changing market conditions.

Every day it automatically determines where advertising budget is most likely to generate bookings by combining first-party booking data with campaign performance.

This enables VacanceSelect to:
 •  Prioritise available accommodations
 •  Respond automatically to changing demand
 •  Increase booking value
 •  Improve advertising efficiency
 •  Reduce manual campaign management

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