The customer lifetime value indicator helps understand how much money firm need to spend on attracting new customers, indicates prospective segments of buyers with high LTV.
LTV modeling for e-commerce
This tool helps determine the most effective advertising channels, forecast optimal budget, optimize ROI and advertising overall campaign costs.
Traces customer interaction with company online and offline presence, assesses the impact of online advertising on sales in offline stores.
Helps estimate precisely how much money each advertising channel brings. All data on calls from the call tracking system, goals and transactions from Google Analytics, sales from CRM etc. will be displayed in a single dashboard, which will allow firm to judge the effectiveness of each channel.
End-to-end analytics implementation
Individual dashboard in optimal data infrastructure helps company 'talk with data': not only analyze statistics, but also correctly structure reports, find conclusions for decision-making, convince stakeholders with logic and clarity.
Management reporting systems
Sales analytics by product and product category allows company to make a reliable decision in the limited timeframe with a limited set of data. Such decisions often become the most important for the business, as they bring profit and profitability.
Product reports and analytics
Lifetime Value - expected income from the customer over the course of his life with the company