What is it
Share-of-Wallet Prediction is a predictive data analytics solution that estimates how much a customer is spending with a company compared to their total spending within the same category (e.g., retail, banking, utilities). The tool’s objective is to identify untapped purchasing potential and implement personalized strategies to increase captured share of wallet.
The model leverages advanced machine learning and artificial intelligence techniques, analyzing behavioral data, purchase frequency, and market benchmarks to provide a reliable estimate of the customer’s overall wallet.
To get started
To initiate a share-of-wallet prediction project, it is sufficient to provide transactional and behavioral customer data (receipts, orders, channels used, frequency, customer profile). The model can be enhanced with external data or industry benchmarks, thanks to an architecture designed to ensure full openness to big data analytics ecosystems.
Benefits and Key Features
The tool is suitable for both B2C and B2B contexts where maximizing customer spend share is relevant (e.g., retail, banking, insurance, large-scale distribution)
The algorithm can estimate latent potential even in the absence of direct competitor data.
The model can be integrated with CRM systems and marketing automation platforms to launch targeted upselling or cross-selling campaigns.
Output
The tool enables you to:
- Estimate the customer’s current share of spend with the company
- Identify untapped potential within the relevant category
- Segment customers by growth opportunities
- Launch targeted commercial actions for customers with high likelihood of increasing their share
- Monitor share evolution over time and evaluate the effectiveness of loyalty strategies
Questo prodotto è disponibile anche in modalità di outsourcing.
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