When dealing with genres of web pages, there are two important aspects to be taken into account. On the one hand, the web is fluid, unstable and fast-paced. On the other hand, genres on the web are instantiated in web pages, which are a complex type of document, more composite and unpredictable than paper documents. These two aspects are interwoven and often result in classification hurdles. In this paper, I suggest analyzing these classification problems in terms of two broad textual phenomena: genre hybridism and individualization. The identification of these two phenomena helps pinpoint the range of flexibility that an automatic classification system should have. More precisely, genre hybridism accounts for multi-genre variation within the individual web page, while individualization refers to absence of any recognized genre in a web page. In a few words, the aim of this paper is to show that web pages need a zero-to-multi-genre classification scheme, i.e. a scheme that allows zero...