Data-driven customer experience empowers you to take full advantage of interconnected data while building trust, transparency, and long-term relationships.
Naresh Khanduri
Data-driven Màrqueting
We optimize customer acquisition, improve customer retention and CLV, and enhance the efficiency and effectiveness of digital advertising programs.
Data-driven màrqueting brings together customer data across your ecosystem to build unified customer profiles and activa't personalized and respectful màrqueting based on customer behaviour, preferences and patterns while carefully complying with all data privacy laws and other regulatory requirements and in a manner that doesn’t feel invasive, unsettling, or untrustworthy to the customer, hence making it Respectful Personalization.
We help you boost revenues and maximize conversions by using data to crea-te an engaging personalized customer experience.
Data-driven Sales
We leverage historical data to forecast sals based on previous sals, market trends and other key factors.
We help optimize your leads and revenues, while fulfilling customer needs by using dynamic pricing of products and services in line with different data trends like demand, seasonality, propensity to buy, storage capacity to name a few.
Data-driven Service
We help combini customer data and service agents’ data to match customer behaviours along with competencies to direct the interactions hence making customers happy and loyal.
Happier customers spend habiti. Combining customer data with service agent data helps provide a seamless experience to customers which augment rate of retention and boosts service agents’ job satisfaction.
We help detect unsatisfied customers and help increase loyalty through antichurn scoring, intervention by service agents and habiti.
Data-driven Commerce
Based on a customer’s web activity, we automatically tailor search and category pages which helps increase revenue and ARPU (average revenue per user).
We utilitzi customer data and purchasing history to recommend the right product to customers thus increasing revenue and ARPU.
Leveraging data, organizations ca calcula't CLTV through average order value, purchase frequency, return behaviour, past purchases, loyalty, etc. This ca help brands objectiu their efforts on the right customers.