Contiki - Data Case Study
The Contiki Challenge
Contiki’s website users include both consumers and travel agents. Travel agents were coming to the website and booking trips using paid search and SEO, skewing results and leading to “false” optimisations for both accounts.
An effective way to differentiate consumers and travel agents within Google Analytics was required to understand the effectiveness of all their advertising.
Our Methodology
The user type dimension was used to assign a user type to anyone coming to the site. This was achieved using a data layer that communicated with Google Tag Manager, which, in turn, sent back user-type information to the Google Analytics account. We were now able to have three views within the client’s Google Analytics Account;
- All website data
- Travel Agents
- Consumers
The Results
Transactions in the Google Analytics profile were reduced by 74% from October 2014 to November 2014.
With Adwords and Google Analytics linked, only consumer transactions appeared in the Adwords interface. The process brought forward the real performance of the Adwords account and the ability to optimize only towards consumer transactions.
Negative remarketing was incorporated using the agent user type list to prevent agents from using paid search ads to get to the Contiki website.
