Prevent fraud and drive growth in brand value.
Quantify advertising efficiency to spend more wisely.
Easily integrated and comprehensive analytics for key metrics.
Enable automated operations in a safe and controlled privately deployed platform.
Massive datasets improve precision advertising and marketing.
Multi-party data boosts brand marketing
User value evaluation provides data reference for refined operation
Deeply analyze user features to help clients tap high-potential customer groups
Multiple models to keep the risk of financial fraud at bay
Marketing Growth Solutions
Cut the marketing delivery cost, improve the effect, and help enterprises growBrand Marketing Solutions
Build a full chain analysis before, during and after launching advertisments to bolster marketingFintech Product Solutions
Covering the whole process before, during and after lending to address financial problems
Layered Insights � Accurate Delivery � Global Operation
Dual Boost of Sales and Marketing� Personalized Operation � Omni-channel Integration
Data Empowerment � Safety & Compliance � Global Marketing
Financial risk control products focus on the financial industry, deeply cultivate banking, consumer finance, internet finance and other fields, effectively help financial institutions prevent financial fraud risks, reduce bad debt rates, and realize digital transformation.
TalkingData has been deeply engaged in the financial field, processing and evaluating massive data in a comprehensive way. The company's self-developed algorithm is based on genetic algorithm feature selection technology, bifurcation semi-supervised learning technology, sample transfer learning algorithm, etc., which is capable of comprehensively processing and evaluating the data of each dimension, deeply understanding the characteristics of the target scenario, integrating the data of users' online behavior, behavior preference on the device, consumption behavior, etc. On this basis, we present the data analysis results, and help partners reduce the bad debt rate among users in the qualification review phase.
Weak Variable � Multi-dimension � Strong Predictive Ability
We explore and extract effective variables from massive SDK related behavior data, integrate complex and numerous fragmented data, and present a financial risk control model with strong predictive ability.
We safeguard the financial and credit business with compliant data and technical means
Analysis and evaluation based on user data help keep risks at bay
Deep accumulation of technologies such as machine learning and deep learning
On the basis of general strategy, provide customized strategy according to the characteristics of the user group
