Customer & Cohort Analytics

The quality and structure of the customer base is a central value driver in data-driven business models. A robust assessment, however, requires more than the isolated consideration of transaction data: only the systematic linking of customer value, cohort behaviour and churn risks enables well-founded management of marketing, sales and e-commerce. FOSTEC & Company combines market intelligence with the analytical depth of a due diligence and, on the basis of behavioural, transaction and channel data, develops a quantitatively robust overall picture of the target-group base.

Context and relevance

The economic viability of a business model is largely determined by the quality and stability of its customer base. In the transaction context, a differentiated analysis of customer value, cohort behaviour and churn risks provides a robust basis for assessing the growth, resilience and predictability of future cash flows. In the operational context, it enables the targeted prioritisation of target groups, differentiated management of marketing and CRM measures, and the development of economically viable omnichannel strategies. The use of AI-supported models significantly increases the forecasting quality here and enables forward-looking management beyond purely descriptive analyses.

Our approach

The methodological framework comprises four analytical dimensions (Figure 1: Customer & Cohort Analytics – FOSTEC & Company analytical framework):

1. Determine target-group value

• CLV modelling on the basis of historical transaction and behavioural data to prioritise target groups by long-term value potential
• Predictive scoring to assess which segments can be expected to deliver the highest return on marketing and sales investments

2. Understand purchasing patterns

• Cohort analysis report as time-based grouping by first purchase, channel or campaign – making retention drivers and purchasing cycles transparent
• Predictive scoring to assess which segments can be expected to deliver the highest return on marketing and sales investments

3. Prevent churn

• Churn prediction with a churn risk score per target-group segment through AI-supported churn models based on activity and engagement signals
• Early intervention with target groups at risk of churning reduces revenue loss and enables data-based prioritisation of CRM measures

4. Segment target groups

• Segmentation framework through cluster analysis by behavioural, value and needs dimensions as an operational basis for differentiated target-group engagement
• The depth of segmentation validates the quality of the target-group base and forms the basis for commercial due diligence and omnichannel strategy.

Figure 1: Customer & Cohort Analytics – FOSTEC & Company analytical framework

Results and impact

Clients receive an integrated, data-based management model for assessing and developing their customer base. This comprises a clear prioritisation of target groups by long-term value potential, transparency on cohort behaviour and stability, and a quantified assessment of churn risks. The results are translated into concrete bases for decisions – from the targeted allocation of marketing and CRM budgets, through the prioritisation of reactivation measures, to the validation of growth assumptions within commercial due diligence. At the same time, the analysis forms the basis for further applications such as AI-supported personalisation and automated customer interventions for the sustainable increase of customer value and retention.

Position within the service portfolio

Customer & Journey Intelligence is part of FOSTEC & Company’s market intelligence portfolio. The complete portfolio comprises seven clusters with specialised analytical services:

• Demand & Market Potential Intelligence
• Assortment Potential Analysis
• Pricing & Revenue Intelligence
• Customer & Journey Intelligence
• Competitive & Share-of-Voice Intelligence
• Digital Shelf & Marketplace Intelligence
• Market Entry & Expansion Intelligence

Let us assess in an introductory conversation which customer-value and retention potential exists in your target-group base – data-based, pragmatic and with clear, actionable recommendations.