Relying on its independently developed intelligent algorithm system and real-time data processing platform, KIKA has built a service system centered on "dynamic precise matching + intelligent delivery", focusing on serving advertising companies and agency institutions. Through its technical system, it efficiently integrates traffic resources and customer needs to create an automated and full-closed-loop intelligent advertising delivery ecosystem.
KIKA provides enterprise-level clients with full-lifecycle in-depth custom development services, conducting differentiated R&D based on clients' personalized needs. The service team possesses cross-domain comprehensive technical capabilities, ensuring that the delivered systems are highly aligned with clients' business logic. It assists enterprises with needs for systematic transformation or digital transformation in building exclusive and highly adaptive core software systems.
It can convert customers' delivery requirements into high-dimensional feature vectors, and quickly and accurately calculate the cosine similarity with the multi-dimensional tag vectors of traffic packages to achieve deep traffic matching.
Relying on the time-series prediction model, combined with historical delivery data and user behavior characteristics, a multi-factor prediction model is established to dynamically predict advertising conversion effects and improve budget utilization.
During advertising delivery, the system can receive feedback data in real time, quickly update model parameters, and globally optimize key parameters to continuously improve delivery effects.
Different from traditional advertising agency or traffic distribution models, it is supported by an independently - developed technical system to integrate resources and demands from multiple parties.
Build an automated and efficient advertising delivery closed - loop system, bringing all links of advertising delivery under automated and closed - loop management.
It possesses the capabilities of efficient and precise dynamic optimization as well as intelligent delivery algorithm decision-making, which enhances the effectiveness of advertising delivery and the efficiency of resource utilization.
The client's advertising requirements, such as budget, cycle, target user group, etc., are converted into a structured data model through structured analysis.
Convert complex user characteristics in the traffic pool, such as demographics, geographical location, and interest preferences, into a computable numerical model.
By conducting real-time comparison between the demand model and the traffic portrait, the matching degree is quickly evaluated, providing a scientific basis for the formulation of delivery strategies.。
Quickly parse the tag data in the traffic package to generate user group portraits.
Compare the client's advertising demands with the traffic portrait in real time and calculate the matching degree.
Based on the ranking of matching degrees, screen out the highest-quality traffic channels.
Combine historical delivery results and model predictions to estimate and adjust delivery outcomes.
After receiving the client's requirements, relevant information is input into the delivery management system, and structured analysis of the requirements is conducted to convert them into a standardized data model.
Establish a requirement model based on factors such as budget, cycle, and target user portrait, which serves as a reference basis for delivery.
Combine traffic resource data and intelligent algorithm strategies for dynamic matching, and make dynamic adjustments to the delivery based on feedback results.
The main customers for advertising services are enterprises and organizations with advertising delivery needs, mainly advertising companies and agency organizations. Through cooperation with them, it can indirectly serve brand owners and enterprise customers in multiple industries, and fees are usually charged based on the number of displays.
When customers put forward delivery requirements, the company will provide key parameters such as the scale of advertising budget, delivery cycle, target user profile, advertising display form, advertising materials, and creative content. For example, the budget and cycle determine the pace of resource allocation.
After the system receives the requirements, the company will conduct structural analysis of this information, convert it into a calculable data model, and establish a corresponding demand model to provide a basis for subsequent intelligent matching.
The company provides enterprise-level clients with full-lifecycle custom development services covering requirement analysis, system design, development and implementation, testing and delivery, as well as maintenance and technical support. It conducts differentiated system R&D entirely based on clients' specific business scenarios and operational goals, ensuring that the delivered results highly align with clients' needs and meet their long-term business development requirements.
Conduct in-depth communication with clients on their business objectives, comprehensively sort out business processes and functional requirements, and output accurate and detailed requirement documents to lay a solid foundation for subsequent system design.
Based on the requirement documents, complete the overall architecture and detailed function design, clarify the technical solutions, and ensure the system has scalability and maintainability.
The development team strictly follows the design plan to carry out code writing and function implementation, maintains phased communication with clients, and synchronizes project progress in a timely manner.
Conduct functional testing, performance testing, and user acceptance testing. After ensuring the delivered product meets quality standards, complete the delivery to provide customers with a stable and reliable software system.
After the system goes live, provide full-cycle technical support including operation monitoring, vulnerability repair, and function upgrades to ensure the continuous and stable operation of the system.
With solid technical skills and rich practical experience, the team proficiently applies cutting-edge technical tools and methods to improve efficiency and accelerate the development of software systems, ensuring stable and reliable operation.
With excellent project management capabilities, they oversee the entire process, efficiently coordinate resources, and strictly adhere to quality standards to ensure projects progress efficiently and are delivered on schedule.
With in-depth research on business logics and development trends across multiple industries, the team injects accurate industry insights into projects and customizes solutions that align with industry characteristics.