Customer engagement is not a linear process. Ness helps companies more effectively connect their business goals with customer needs by integrating a dynamic combination of customer touchpoints and channels to drive better customer engagement.

Client challenges that we solve

  • How can we improve the personalization of our products/services to encourage stronger customer engagement?
  • In what ways can we use or enhance the data we collect to create more upsell and cross-sell opportunities?
  • How can we remove friction from buying and customer support processes?
  • How can we improve the attraction of our loyalty program and distinguish it from others?
  • How can our company increase customer stickiness and reduce churn?

Customer Engagement solutions

Digital Marketing Operations

Building digital platforms that facilitate ongoing customer outreach and engagement across channels, including more automated customer segmentation, campaign distribution, social sentiment analysis, integrated SEO/SEM capabilities, and API connections with partner systems


Using advanced data analytics techniques, such as clickstream and user behavior analysis, Machine Learning (ML), and Artificial Intelligence (AI) to develop insights and recommendation engines that enable more effective, precise customer engagements that drive increased sales opportunities, conversions, and revenue

Customer Lifecycle

Helping clients strengthen customer engagement throughout the customer lifecycle by providing solutions in customer journey mapping, omnichannel engagement, data aggregation and quality improvement, online and offline channel integration to form 360-degree customer views, and extending and improving customer loyalty programs

Customer Care

Integrating digital capabilities that drive better customer service and reduce the time staff must spend on manual, repetitive tasks. Solutions can include aggregating data for 360-degree customer views, deploying data-enabled chatbots, leveraging workflows from ServiceNow and other process-based solutions, and integrating the capabilities of the Internet of Things and conversational interfaces to provide comprehensive omnichannel solutions

Work in Action

Increasing customer insight using ML

Ness leveraged data analytics and Machine Learning techniques to derive new insights for one of its retail clients. The client was able to see new customer behavior patterns that helped them fuel conversion rates, increase online sales and order values, and improve customer loyalty.

Building a 360-degree customer view

Ness significantly reduced the friction customers experienced when purchasing a client’s products. Ness created a “single source of truth” about customers by aggregating key client and partner data. Rules around data collection, cleansing, and standardization were established between client and partner systems, so that the client had a 360-degree view of customer data for operational and marketing purposes.

Developing a better ecommerce solution

Ness designed and launched an e-commerce solution that increased customer engagement and transaction volumes. The solution included a complete user experience overhaul that greatly enhanced the customer’s in-store retail experience, increased revenue opportunities, and streamlined corporate business systems for improved operational efficiencies.

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