The most annoying spam for Spanish users is Viagra spam

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After several years of spamming activities, the company SPAMfighter, European leader in the development of antispam filters, has conducted a study among 1,350 Spanish Internet users and the results reveal that the bombardment of Viagra advertisements is the most annoying type of spam circulating on the Internet.

45% of users have been affected and annoyed by this type of advertising bombardment, while 16% have been affected by advertising bombardment related to gambling, such as poker and casino. 10% of them have been affected by spam emails related to job offers or false business opportunities and only 8% report phishing as the most annoying.


“Some spammers are not very sophisticated when it comes african mobile contact number to creating spam and they still flood the Internet with Viagra spam,” says Martin Thorborg, co-founder of SPAMfighter. “The saddest thing is that spammers continue to make money and spread malware on the Internet from something as simple as Viagra spam. This way, there are users who are not protected and who are not yet aware of the dangers of these emails.”

SPAMfighter advises Internet users not to be tempted to open such emails to make purchases, as this is how criminals come to life. The Danish company protects all its users and blocks more than 90% of phishing attacks along with traditional spam, automatically filters unwanted emails from the inbox of all its users, ensuring their security, since traditional firewalls and antivirus programs do not detect this type of threat.

The user experience in 2025 will be marked by a radical shift towards an approach focused on hyper-segmented personalization, where brands will use advanced technologies to design interactions deeply tailored to each consumer’s individual preferences, behaviors, and needs. This personalization will not be limited to superficial aspects such as names in emails, but will encompass product recommendations, advertising content, and shopping experiences completely tailored to the user’s history and context, all in real time.

This level of hyper-segmentation will be possible thanks to advanced analysis of first-party data and the use of artificial intelligence, which will allow consumers’ expectations to be anticipated before they explicitly express them.