Customer Analytics
Customer Satisfaction Analysis (CSAT)
In today’s digital world, you can use customer satifsfaction analysis (CSA) to deliver more personalized customer experiences. Unite customer data (from digital and non-digital channels) and align operations so that you can act on customer insights in real-time. At BSAI Techno Sales, Our expertise involved actively for boosting customer satisfaction via big data analytics to gather a new alertness of customer satisfaction analysis and established healthy relationship with the customer.
How?
- Identify and integrate new data sources (including Big Data). Draw relationships with your data, and collaborate across segments of your business to achieve high performance.
- Establish a robust and scalable data infrastructure to empower your teams to do more analytics.
- Practice, Iterate, and Grow
Customer Lifetime Value (CLV) Modeling
Customer lifetime value (CLV) plays a key role in customer relationship management and has been implemented in variety of sectors. The main goal of customer lifetime value is to specify the importance level of each customer for a company.
In simple terms, customer lifecycle value is the projected value a customer generates over the entire lifetime of their interaction with the brand. Focusing on CLV can help a company determine optimize the marketing spends, allowing it to focus on more profitable customers.
- Observe various individual-level buying patterns from the past – find the various customer stories in the data set.
- Understand which patterns correspond with valuable customers and which patterns correspond with customers who are leaving for good.
- As new customers join, match them to these patterns accordingly.
Customer Retention and Win back
Most firms consider the lost customer a lost cause. In such recession period, We aims to helps you winning back lost customers can be a rich source of renewed revenue and customer loyalty for any firm. In the field of Customer Retention & Win back BSAI Techno Sales is the big giant, aims to provide customer retnetion and win back service.
We are committed to delivering quality research. We provide complete Market Research to serve your business needs.
- Acquisition of new customers
- Retaining and developing existing customers
- Winning back lost customers.
- Allocation of marketing spend in more strategic
- Accelerate monetization through strategy
- Determine customer for re-purchase
Analytics on Micro segmentation and behavioral
Customer micro-segmentation technology empowers marketers to achieve deeper customer understanding and more effective customer marketing. Customer micro-segmentation is the practice of dividing a company’s customers into groups relevant to a particular business. The goal of segmenting customers is to decide how to relate to customers in each segment in order to maximize the value of each customer to the business.
Micro-Segmentation is a more advanced form of segmentation which groups small numbers of customers into extremely precise segments, based on various factors, including behavioral predictions. Marketers can then direct specific marketing actions to each micro-segment to maximize the effectiveness of every contact with each customer.
The 360 Degree Customer View
Get a 360-degree view of your customer and provide smarter, more personalised customer service.Bring together disparate data sources to create an on-demand, complete analytical view across all customer channels, which enables a deeper understanding of buyers, brands, products and services. Today, keeping up with customer expectations means delivering a personalised experience for each and every customer. Having a complete 360-degree view of all previous customer interactions, customer information, purchase history, and preferences is the prerequisite for meeting these expectations.
- Staff Savings and Productivity : Quickly achieve value when combining sources of big data using intuitive visual tools.
- Operational Intelligence : Embed analytics into actionable line-of-business applications for each relevant customer-facing role.
- Reduced Risk With Adaptive Big Data Layer : Protect data flow processes from changes in big data technologies by using the adaptive big data layer.