The Personalization Gap: Why Data Collection Isn't Driving Conversion
AI-generated image · US National Wire
A user's account of failed targeting highlights the disconnect between massive data harvesting and actual consumer utility.
While tech companies are frequently accused of invasive spying, the actual application of that data often fails to drive meaningful consumer experiences. In a detailed account shared via Hacker News, as first reported on the platform, a user in Helsinki describes a persistent failure of personalization across multiple platforms, suggesting that the 'big data' and machine learning touted by firms are resulting in redundant or irrelevant targeting.
The user reports receiving ads for products they have already purchased, such as a mattress and a purple gamepad, and receiving irrelevant offers for 3D-printing resin, WhatsApp marketing tools, and asphalt cleaning tractors. Even when providing specific intent—such as searching for installation instructions for an AEG CCS84751 oven—the user notes that algorithms fail to distinguish between a one-time need and a general interest in ovens.
Further systemic failures occur when companies possess explicit first-party data but ignore it. The user notes that their bank offers car insurance despite the user already holding a policy with them, and a mobile provider sends discounts for children's products despite the user having no children. Additionally, an airline provides visa information that does not apply to the user's citizenship, despite having a scan of the user's passport. Even language localization fails; despite using English settings, the user is frequently directed to Finnish-language landing pages or German services while traveling.