Business Analytics solutions for Sales & Marketing

Contract renewal analytics help predict which customers will renew their fixed-term contracts and when.
By using predictive models, companies can proactively engage the right customers at the right moment, improve sales planning, reduce churn, and make revenue from renewals more predictable.

Geo dashboarding gives B2B sales and marketing teams a clear, data-driven view of where their best prospects are located.
By combining internal sales data, external company and employee data, and geographic information, potential customers are identified and visualized on an interactive map. This enables targeted prospecting, better alignment between teams, and more focused sales efforts across regions.

Web personalization uses customer data to show the right content to the right user at the right time.
By combining behavioral tracking with a customer data platform (CDP), digital channels can deliver personalized content, product recommendations, and targeted campaigns, improving user experience while enabling up- and cross-selling.

Product recommendations use customer and sales data to suggest relevant products at the right moment.
By analyzing past purchases and customer behavior, complementary products can be recommended across sales channels. This leads to higher cross-sell and up-sell rates, larger basket sizes, and a smoother sales process for both customers and sales teams.

Propensity scoring can be used to determine the likelihood of a customer buying, up-selling or churning.

Lead scoring is a methodology used by sales and marketing to rank and prioritize potential customers (leads) based on their likelihood of converting into paying customers.

Churn prediction is a process of identifying and predicting the likelihood of customers or subscribers discontinuing their relationship with a business.