At 4P we support clients with data analysis both on the executional and the conceptual level, assessing how the data a company already holds can be used to generate consumer insight.
Data are an invaluable source of knowledge about customers and the market. Skillful use of information from customer databases, transactions or user interactions helps companies outpace the competition and tailor their offer to real consumer needs. We offer our clients:
Client-base / CRM analyses
Data Mining – data exploration
Do you have a huge customer database but are unsure how to unlock its full potential? Using advanced data-mining techniques we help:
- Identify non-obvious relationships in large data sets
- Understand consumer behaviour, enabling personalised offers
- Design tailored marketing actions and sales strategies
- Build effective loyalty systems that boost customer engagement
RFM segmentation
- Recency (R): when the last purchase was made
- Frequency (F): how often purchases are made
- Monetary (M): how much is spent
This lets you:
- Identify the most valuable customers
- Personalise marketing campaigns to increase effectiveness
- Reactivate customers whose activity is declining
Segment enrichment
To understand your customers even better we provide:
- Demographic & psychographic analyses – learn traits and motivations
- Behavioural & UX studies – optimise site or app experience
- CX studies – gauge satisfaction and loyalty
- Competitive analyses – gain a market advantage
Customer Lifetime Value (CLTV)
CLTV measures a customer’s value over the entire relationship with the firm. Analysing CLTV allows you to:
- Optimise the client base for long-term profitability
- Forecast ROI on marketing activities
- Plan long-term sales strategies
Churn analysis
Customer loss is a challenge for every company. With churn analysis we:
- Identify factors driving attrition
- Build models that predict individual churn risk
- Develop retention strategies that minimise base shrinkage
Basket analysis
Want to know which products are most often bought together? Basket analysis lets you:
- Identify natural purchase patterns
- Optimise promotions and cross-selling
- Increase basket value
Call-centre analytics
An effective call centre means more than quick service – it means satisfied customers. We offer:
- Performance analysis based on key KPIs
- Identification of factors affecting service quality
- Process optimisation, eliminating bottlenecks and raising satisfaction
Communication-effectiveness analytics
Media Mix Modelling
Do you know which marketing channels deliver the greatest ROI? Media Mix Modelling lets you:
- Assess the impact of TV, online and print on sales
- Identify synergy between channels to maximise campaign effects
- Optimise the advertising budget by focusing on the most efficient activities
- Forecast sales under various media scenarios
Attribution analysis
In an omnichannel world customers interact with a brand in many ways. Attribution analysis allows you to:
- Assign value to every touch-point along the purchase path
- See which marketing actions most influence conversion
- Allocate budget efficiently to the most effective channels
We use advanced methods such as Markov chains to model consumer behaviour precisely.
Funnel analysis
Optimising the purchase path is key to boosting conversion. Our analysis:
- Identifies bottlenecks in the buying process
- Recommends improvements that reduce cart abandonment
- Raises satisfaction by simplifying the shopping experience
Reporting & visualisation
Data are valuable only when clear and accessible. We offer:
- Intuitive dashboards tailored to individual needs
- Automated reporting that saves time and resources
- Interactive online visualisations for ongoing monitoring
- KPI alerts signalling key changes
We use tools such as Shiny and Power BI to provide transparent access to essential information.
