Most popular Christmas food in EuropeAutomated online detection of popular Christmas food items within Bisnode countries using data science.

Most popular Christmas food

Switzerland is the only country where the most popular keyword, fondue, is a dairy

50% of Austrias top ten keywords are sweets related, with “vanillekipferl” being most popular

Norway’s top keyword is “ribbe” – a roasted pork dish

Croatia’s top keyword is “bakalar”

In Hungary “mézeskalács” is the most popular keyword

“Perunalaatikko”, a sweetened potato dish is the most searched for in Finland

36% of Christmas food web search are associated to sweets

20% of Christmas food web search are associated to meat

20% of Christmas food web search are associated to veggie

Most popular keywords

Sweetsvanillekipferl Austriachocolat BelgiumPlätzchen Germanymézeskalács HungarySernik Poland

Meatflæskesteg Denmarkribbe Norwaykapustnica Slovakiakranjska klobasa Sloveniajulskinka Sweden

Fishbakalar Croatiakapr Czech Republicriba Macedonia

Veggietoit Estoniaperunalaatikko Finlandsalata Serbia

Dairyfondue Switzerland

29%Sweets

18%Veggie

29%Meat

6%Dairy

18%Fish

side dish

dairy

drink

Sweets are the most popular category for half the countries

Austria Belgium Switzerland Czech Republic Germany Denmark

Estonia Finland Croatia Macedonia Norway Poland

Sweden Slovakia Serbia Slovenia Hungary

sweets

fish

soup

meat

veggie

The percentage of the categories per country is computed by considering the weight of the top 10 keywords.

Sweets – top 10

1. Hungary2. Poland3. Sweden4. Denmark5. Germany6. Austria7. Belgium8. Slovenia9. Croatia10. Norway

Meat – top 10

1. Norway2. Slovenia3. Belgium4. Estonia5. Sweden6. Slovakia7. Croatia8. Denmark9. Switzerland10. Serbia

Fish – top 10

1. Czech Republic2. Croatia3. Macedonia4. Austria5. Poland6. Slovakia7. Hungary8. Sweden9. Finland10. Belgium

Veggie – top 10

1. Finland2. Serbia3. Estonia4. Macedonia5. Slovakia6. Czech Republic7. Denmark8. Hungary9. Poland10. Croatia

Methodology1. Step: acquisition of online contentBy leveraging search engines, Bisnode Group Analytics gathered in an automated way thousands of christmas food websites for each of the Bisnode Countries. Website structure and content were then auto matically explored and analysed.

2. Step: extraction of most relevant keywords per countryUsing text mining algorithms, food-related keywords per country where detected. Relying on statistical analysis, most relevant and country specific items have been identified, among millions of key-words extracted from websites. Christmas specificity of keywords is then further identified by ana-lysing their web-search popularity over time during the last 5 years (see side picture). Keywords that show a yearly spike at christmas are kept, while the ambiguous ones are dropped.

3. Step: assessing popularityWeb-search popularity associated to each keyword is then used to normalise popularity of keywords per country and to rank them. This normalised popularity is the score we use for all subsequent analyses.

2013

-11

2018

-11

2018

-08

2018

-05

2018

-02

2017

-11

2017

-08

2017

-05

2017

-02

2016

-11

2016

-08

2016

-05

2016

-02

2015

-11

2015

-08

2015

-05

2015

-02

2014

-11

2014

-08

2014

-05

2014

-02

julskinka knäck lussekatter

Data to drive you forward