Google Chrome has announced that it will phase out third-party cookies, and a series of privacy policy changes such as iOS 14 privacy policy changes and EU GDPR standards have announced that the data validity in the past has been completely reversed. In the future, Digital advertising model will fundamentally change, which will certainly have a huge impact on the advertising industry and marketing strategy. Marketing of a brand, and Data Marketplace is one of the proposed solutions to respond to future changes. Based on The Trade Desk UID2.0, brand or media owners can directly obtain secure, reliable and accurate audience data.
LnData cooperates with multiple media platforms to provide a wide range of audience samples to find your target audience faster
Purchasing audience data that best meets your needs by customizing segmentation dimensions
LnData's leading technology conducts data concatenation, filters duplicate data, finds unique and complete consumer footprints to achieve accurate marketing.
A highly accurate audience list can effectively improve the effectiveness of advertising delivery. In our past cases, average CTR increased by 2% and CPA decreased by 8%
Consumer privacy is the most important issue in the future. The data clean room aims to help brands obtain accurate advertising data while achieving de-identification and decentralization to maintain consumers' trust. Therefore, in the data market, anyone can exchange or trade data without worry through data clean room.
After the data is encrypted and sent to an impartial third party for calculation, traders can view data analysis results and applications such as advertisement delivery. During the process, the ownership of all data is not transferred.
Through methods such as homomorphic encryption and differential privacy, it is ensured that the data cannot be decrypted and reversed to any individual during the exchange process.
Allow traders to compare their own consumer data with data of other organizations in compliance with privacy regulations, greatly improve the possibility and value of data applications