Marketing Data Analysis & Modelling
Discover the power of analytics to transform data into valuable insights for more effective marketing strategies. By utilizing the appropriate tools, companies can identify patterns and trends to guide decision-making and customize approaches for their target audience. This not only boosts ROI but also enhances the customer experience, providing a personalized and seamless journey.
- Data-Driven Insights: Transform 1st, 2nd & 3rd party raw data into actionable insights to make your marketing strategies more effective.
- Predictive Trend Analysis: Utilize advanced analytics to uncover hidden patterns and trends.
- Marketing Decision-Making Support: Guide strategic decisions with accurate, data-backed information.
- AI-Driven Customer Segments: Tailor marketing efforts to specific audience segments for maximum impact.
- Enhanced ROI: Optimize marketing spend by targeting the most profitable customer segments.
- Improved Customer Experience: Deliver personalized and seamless customer journeys through data-driven personalization.
- Performance Tracking: Continuously monitor and adjust strategies based on real-time data to ensure optimal performance.
Request your RFM model
Recency, Frequency, Monetary....3 parameters that define 11 actionable customer segments. Request a demo of the Untold RFM model and discover the significant impact it can have on your go-to-market strategy.
Approach
We understand that every business is unique, and that there is no one-size-fits-all solution to marketing operations. That's why we take a customized approach to every project we undertake, working closely with our clients to understand their unique needs and goals.
Define the optimal data-driven customer experience. Map out business objectives and leverage data, martech solutions and customer satisfaction goals to achieve success. The result is a clear, future-proof martech architecture and associated activation strategy.
During the ideation phase, the defined strategy is put into action. During design sprints, brainstorming ideas are generated. The effectiveness of these ideas is tested by creating functional models. Available data and embedded prototype options are used to identify the most appropriate technology to achieve the defined goals.
Based on the results and insights generated from the ideation and prototyping sessions, the most appropriate technology architecture is created to achieve the required analysis and modelling results.