In the data-driven market landscape

various online service platforms employ sophisticated and intelligent algorithmic tools to assess and predict consumers' willingness to pay and purchasing power. While these tools contribute positively to orderly competition and rational production

they also facilitate the emergence of new forms of detrimental marketing practices

such as big data "price discrimination." Unlike traditional price discrimination

big data "price discrimination" is underpinned by robust technical support and exhibits characteristics including extensive reach

significant destructiveness

and pronounced concealment. The rise of this adverse marketing behavior not only infringes upon consumers' legitimate rights but also impacts the structuring and advancement of emerging industries while disrupting fair market order. To effectively mitigate the negative repercussions of big data "price discrimination" on both economic stability and societal welfare

governance has made strides toward legal regulation; however

challenges persist in terms of inadequate institutional frameworks

ineffective administrative oversight

and a lack of awareness regarding rights protection. Addressing these governance challenges

this paper proposes targeted solutions aimed at alleviating the potential crises posed by algorithmic misuse on consumer market vitality and the competitive dynamics within the digital economy.