The true heart of the campaign lies in the tool we created: An algorithm that can calculate how much time we have left to spend with the people who we care about most. No speculation, just hard cold data with a clear purpose, to make you re-think your priorities.

The tool crosses data provided by the user with data from the National Institute of Statistics and other studies related with types of relationships and life expectancy.

We live in autopilot mode, devoted to work and unconsciously distributing our time in a way that’s far from ideal. On top of that, technology has invaded our lives and takes up most of the little time we have left.

In Spain, it is a common tradition to take a digestive liquor like Ruavieja after lunch or dinner to make the moment last longer. This tradition and many others are disappearing because nowadays nobody has time for anything and everyone’s always in a rush.

For its Christmas campaign Ruavieja had a great ambition: getting people change their behaviour and really see each other more often.

Since it is not a widely known brand, the main objective of this campaign was to put Ruavieja on the map, by gaining relevance solving and important issue in Spanish society.

Ruavieja, a modest Pernod Ricard liquor brand wanted to convince people to spend more time with their loved ones.

The true heart of the campaign lies in the tool we created: An algorithm that can calculate how much time we have left to spend with the people who we care about most. No speculation, just hard cold data with a clear purpose, to make you re-think your priorities.

Then, we decided that the most compelling way of bringing this idea to life was trough a film that captured people’s reactions when confronted with the results of this algorithm.

The true heart of the campaign lies in the online tool we created: An algorithm that can calculate how much time we have left to spend with the people who we care about most. No speculation, just hard cold data with a clear purpose, to make you re-think your priorities.

To make the prediction as accurate as possible this tool crosses data provided by the user with data from the National Institute of Statistics and other studies related with types of relationships and life expectancy.

To promote it, we created a film that captured people’s reactions when confronted with the algorithm’s results and compared the time they would spend with their love ones with the time that an average people spends on the internet and other screens.

Our tool crosses data provided by the user with data from the National Institute of Statistics and other studies related with types of relationships and life expectancy.

Statistics showed that the frequency that people declare that they see each other, decreases or increases as they grow old depending on the type of relationship, and in different numbers according to gender, location and year of birth.

To integrate data we used a very simple calculation, taking into account the current frequency with which two people see each other and their life expectancy, according to where they live. And applied the variation that statistics gave us in each case.

In parallel, we gathered data from different studies about how much time we will spend on internet, series, games and content in the following years to make user compare it with how much time they had left to see their loved ones.

-THE CAMPAIGN WAS THE MOST WATCHED AND SHARED SPANISH AD IN HISTORY (Google).

-17.5 Million views in total (13.5M on Youtube, from which 5.3M came from whatsapp)

-More than 300K shares.

-1 Million people visited the web and more than 700K calculated how much time they had left with their love ones.

-Average time spent on the web: 4´30”.

-Visits to the web came from 194 different countries.

-Sales increased by +52%

-Carrefour had to create a direct button on its e-commerce front page due to the sudden demand.

-A Chilean TV show dedicated a 1 hour documentary to the idea

-Thousands of people uploaded pictures of their get togethers thanking Ruavieja for making them possible.