Case 1: An e-commerce company was heavily fined for purchasing illegal data
In order to quickly expand its user base, an e-commerce company spent a lot of money to purchase a third-party telephone marketing list. The initial marketing effect was acceptable, but then users complained about harassing calls in large numbers. The platform regulatory department intervened in the investigation and determined that the company used personal information without the user's consent, violating the "Personal Information Protection Law" and related regulations.
In the end, the company was fined millions of yuan, its SMS and telephone marketing channels were blocked, its business promotion was hindered, its brand image was seriously damaged, and its customer trust dropped significantly.
Case 2: Insurance companies use false data to cause customer loss
An insurance company purchased a precise customer package from a data provider and carried out telephone follow-up activities. Due to severe data aging, a large number of phone numbers were empty or shut down, and some customers whose numbers had changed owners were harassed, causing negative word-of-mouth to spread.
The company not only wasted its marketing budget, but also caused complaints and disputes, and eventually had to reinvest resources to build its own data system.
8. Reasonable scenarios and boundaries for purchasing data
Despite the huge risks, some compliant and cautious data purchases still have a certain application space:
Industry data reports and market research data: Statistical analysis data provided by third-party institutions are helpful for industry trend judgment and market strategy planning;
Authorized partner data: For example, in joint marketing activities, cooperative enterprises share user clues, provided that the user has explicitly agreed to share their data;
Public data sets or open data platforms: compliant data resources released by the government or institutions for auxiliary analysis and research.
These data are generally not used directly for telephone or SMS marketing, but as a reference for auxiliary decision-making and precise positioning.
IX. Technical means to help improve data compliance and quality
Enterprises can also use advanced technologies to ensure data security and quality, including:
Data desensitization technology: remove sensitive information and reduce the risk of leakage;
Authentication and authorization management: ensure that the data collection process is authentic and reliable;
Data cleaning and deduplication: regularly remove invalid, duplicate, and abnormal data to improve marketing efficiency;
Real-time blacklist comparison: prevent harassment of registered users bulgaria phone number list who do not answer calls;
Behavior analysis and portrait construction: screen high-value customers through big data models to reduce blind calls.
Combined with technical means, enterprises can achieve "compliance + precision" data operations.
10. Future trends: Data compliance becomes a standard for digital marketing
With the increase in regulatory efforts and the improvement of user privacy awareness, stricter protection of personal information has become a trend worldwide. In the future, the field of digital marketing will see:
Stricter licensing management: customer authorization will be managed automatically through standardized processes and technical means;
Data asset transparency: users will have more control and right to know about their own data;
Standardization of the compliance data trading market: data trading will tend to standard contracts, credit evaluation systems and third-party audits;
AI-driven precision marketing: based on legally authorized data, machine learning will be used to improve conversion effects and reduce invalid harassment.
Enterprises must follow this trend and actively embrace a compliance culture in order to achieve long-term and stable development.