Royal Frieslandcampina
Royal Frieslandcampina ranks joint 10th of 32 in Dutch FMCG, with a Visibility score of 23.1 out of 100. This is the first measurement of this ranking, so there is no earlier score to compare. AI recommends it most for purpose, inclusion and pay, among others. Unilever leads the ranking, 76.9 points ahead of Royal Frieslandcampina. It also appears in 2 other Dutch rankings, placing joint 23rd in logistics.
What candidates ask about
Royal Frieslandcampina is not AI's top pick in Dutch FMCG for any topic yet. AI does not recommend Royal Frieslandcampina at all for work-life balance, interviews and onboarding.
| Topic | Does AI recommend Royal Frieslandcampina? | Who AI recommends most | |
|---|---|---|---|
| Pay | Yes | UnileverHeinekenNestlé+1 more | |
| Innovation | Yes | UnileverHeineken | |
| Leadership | Yes | UnileverHeineken | |
| Purpose | Yes | UnileverTony's Chocolonely | |
| Hiring process | Yes | UnileverHeinekenNestlé | |
| Career growth | Yes | UnileverNestlé | |
| Culture | Yes | UnileverHeinekenNestlé | |
| Work-life balance | Not mentioned | UnileverHeinekenNestlé+1 more | |
| Inclusion | Yes | UnileverHeinekenAhold Delhaize | |
| Interviews | Not mentioned | UnileverHeinekenNestlé | |
| Onboarding | Not mentioned | UnileverHeinekenNestlé+1 more | |
| Job security | Yes | Unilever |
Take control of how AI presents Royal Frieslandcampina
Visibility is only the start. PerceptionX shows how AI describes Royal Frieslandcampina next to its rivals, the themes and sources behind it, and exactly what to change to win the candidates you want.
Top five in Dutch FMCG
- 1Unilever100.0
- 2Heineken92.3
- 3Nestlé74.4
- 4Ahold Delhaize51.3
- 5FrieslandCampina48.7
Employers near Royal Frieslandcampina in Dutch FMCG
- 7Danone41.0
- 8Albert Heijn33.3
- 8Mars33.3
- 10Coca-Cola23.1
- 10Philips23.1
Royal Frieslandcampina in other Dutch rankings
Questions about Royal Frieslandcampina
What is Royal Frieslandcampina's reputation as an employer, according to AI?
It is joint 10th of 32 FMCG employers in the Netherlands. AI recommends it most for purpose, inclusion and pay, among others.
What does Royal Frieslandcampina's Visibility score mean?
It is how often AI recommends Royal Frieslandcampina when job seekers ask about FMCG employers in the Netherlands, out of 100. A higher score means candidates are more likely to hear about Royal Frieslandcampina when they ask AI where to work.
How does Royal Frieslandcampina compare to its competitors?
Unilever and Heineken are recommended more often overall.
Why are Sentiment and Relevance locked?
They are part of the full picture. This page shows how often AI recommends Royal Frieslandcampina. Sentiment shows how positively AI describes it, and Relevance shows whether AI recommends it to the people Royal Frieslandcampina wants to hire.
How can Royal Frieslandcampina improve its score?
AI learns about employers from what is written about them: careers pages, reviews, press and what employees share. PerceptionX shows which topics and sources are holding an employer back, and what to change first.
How often is Royal Frieslandcampina's data updated?
Rankings refresh with each new round of AI answers. Each page shows the date its data was updated, and the arrows next to each score show how an employer has moved since the previous measurement.
Does Royal Frieslandcampina need to be a PerceptionX customer to appear here?
No. Any employer AI recommends often enough appears automatically. Customers get the full picture behind their Visibility score and well beyond it: how positively AI describes them (Sentiment), the themes it links them with, the sources it relies on, custom reports by country and role, and clear steps to improve how candidates see them.
What does the full picture include?
Visibility is one of several metrics. Customers also see Sentiment (how positively AI describes them) and Relevance (whether AI recommends them to the people they hire), the themes AI links them with, the sources AI relies on, custom reports built around their own countries, roles and rivals, and specific recommendations for improving how candidates see them.