〒106-0032
3-1-1 Roppongi, Minato-ku, Tokyo
Roppongi T Cube 14F (Reception 14th floor) View on Google Map
© 2024 XICA CO.,LTD.
〒106-0032
3-1-1 Roppongi, Minato-ku, Tokyo
Roppongi T Cube 14F (Reception 14th floor) View on Google Map
© 2024 XICA CO.,LTD.
With data science at our core, we empower clients to achieve sustainable growth.
As a trusted third-party partner, we offer data-driven insights to guide marketing decisions and shape effective business strategies, leading to long-term success.
COMPASS is a CMM service that elucidates the mechanism behind consumer brand choice and analyzes the impact of the 4Ps of marketing, competition, and external factors on purchasing.
MAGELLAN is an MMM service that quantifies the contribution and efficiency of various marketing elements and provides budget allocation proposals that maximize ROI.
We provide optimal solutions that combine our strategic design and statistical analysis capabilities to meet the challenges our clients face.
We maximize win rates and repeatability by building a foundation for integrated marketing evaluation and optimizing the PDCA cycle.
We analyze text data that reflects consumer feedback, extract trends and needs, understand individual customers from large amounts of raw data, and provide strategies to resolve their issues.
This service uses brainwave analysis and data science to identify effective creative elements and support the production of scientifically based TV commercials.
This is a planning and buying service that uses data science to calculate the optimal areas, stations, and patterns for TV commercials to maximize ROI.
This is an analysis service that can flexibly respond to specific problems and issues. We provide customized data analysis according to the client's needs, including CRM analysis, cluster analysis, audience rating analysis, and recommendation systems.
We provide courses and training to develop human resources with specialized knowledge and skills in data science and marketing. We aim to improve the skills of everyone from management to general employees, and support data-driven decision-making.