- Event
Tinext at Netcomm Focus Food & Grocery 2025
- from 14:00 to 18:00
- Milan
Data Analysis
Effective data analysis is essential to transform raw data into meaningful insights that drive informed business decisions
Every piece of data tells a story: our goal is to bring it to life, make it 'actionable' and put it at the service of the client's digital strategy. By analysing every contact point between user and platform, Tinext allows us to improve the digital experience, optimise performance and drive business growth.
How we can help you
Data to understand customers, targets and the market
Effective data analysis starts with the definition of clear and measurable objectives. Tinext starts with an initial analysis that includes:
Definition of macro and micro KPIs
Customer interviews, to identify expectations and criticalities
Involvement of internal stakeholders (marketing, sales, IT, customer service), to gather strategic feedback.
Following this, a user research and platform audit allows the identification of target customers' needs, behaviours and friction points, through the definition of personas and the construction of user journeys.
Data to personalise the experience
We segment audiences based on behaviour, preferences and demographics, combining CRM analysis, customer journey mapping and clustering. In parallel, UX analysis allows us to improve the usability and intuitiveness of the platform, reducing abandonment rates and increasing satisfaction.
Data to measure, optimise and evolve
Using tools such as GA4, Google Tag Manager and Hotjar, we provide a detailed picture of user behaviour on your digital properties. We also evaluate the effectiveness of marketing channels, to refine strategies and increase ROI.
What makes us different
With solid expertise in digital projects and a data-driven approach, we offer your company a 360° view of the customer experience, starting from the observation and interpretation of data. The synergy between analysis, technology and creativity allows for effective, tailor-made, scalable solutions.
With its experience in heterogeneous sectors and international markets, Tinext is the ideal partner to tackle data complexity and turn it into a competitive advantage.
The Methodology
Our Data Analysis service follows a structured, iterative and collaborative 4-step approach:
Data collection and collection: interviews, benchmarking, technical and functional audits.
Analysis and segmentation: data modelling, insights and strategic clusters.
Experimentation and measurement: A/B testing, targeted optimisation, continuous measurement.
Report and roadmap: visual and operational, clear and action-oriented documentation.
The final deliverable is a detailed analytical report, including user profiling, KPI mapping, critical issues and opportunities, strategic and operational recommendations.