World-class customer engagements
Allow field personnel to make informed decisions driving personalized omnichannel interactions.
Schedule A DemoNext Best Action (NBA) driven customer engagement
Personalization is the key to delivering superior customer experiences and continued commercial success. Great personalization experiences are especially effective at driving repeat customer engagement and loyalty over time. Today’s Life Sciences companies struggle with finding a comprehensive customer engagement solution that is specific to their business. A solution that understands the customer’s behavior and their journey preferences to orchestrate Life Sciences Next Best Experiences (NBX).
Axtria’s NBA driven customer engagement
Axtria’s NBA Driven Customer Engagement offering is the most advanced Next Best Action (NBA) customer engagement solution for life sciences that enables personalized omnichannel interactions, at scale, across Life Sciences customers to optimize commercial activity.
Axtria’s AI/ML based NBA engine predicts customer needs and delivers real-time, insightful, personalized, interactions, driving better treatment decisions. The outcome of these interactions is monitored to drive superior customer experience while measuring the impact on sales and brand uplift.
Next Best Action (NBA) orchestration
Confidently determine the optimal next action to take, driven by AI/ML and rules-based models, formulated from recent activity data combined with a prediction model and simulated outcomes, customized to your business needs.
- Identify the next best action relevant to the given point of a customer’s journey and channel of engagement
Read Blog / How Should A Marketing Mix Analysis Influence The Next Best Actions?
Data hub
Quickly access and onboard any data from any source needed to power the commercial operations of your business. Store the asset for future use, saving time for your business.
- Leveraging a library of pre-built connectors to Life Sciences data sources including warehouses, RDBMS (SAP HANA, SQL Server, Oracle), files, support tools, or external links
- Provides data audit, quality, profiling, and integration
Customer profiling
Gain visibility into segments, clarity into channels valued by customers, bottlenecks disrupting the customer journey, and take action in a timely manner
- Offers search capability to identify a list of customers based on segmentation, priority, relevance, and prescription behaviors
Customer insights
Insights into understanding customers and the market to inform brand launch strategies and achieve improved customer engagement
- Intelligence to understand customer affinity, past interaction success/impact, and channel impact related to sales performance and affiliations to recommend NBX
AI/ML engine
Creates personalized experience using automated and Intelligent recommendations using sophisticated, well-trained AI/ML models.
- AI/ML models based on customer preferences, intent, and behavior to deliver real-time NBX for each customer at a precise moment
- Coordinated messages and interactions across online and offline channels, ensuring campaigns are always relevant
KPI builder
Easy-to-use formula editor for data analysts to create KPI and rules on the go with intuitive drag-and-drop design to include fields and functions on the editor
- Create custom/derived formulas by combining standard functions, operators, pre-defined metrics, table attributes, and constant values
Downstream system integration/activation
Publish final recommendation to downstream CRM, marketing automation software, campaign management, and customer management systems for consumption by customer-facing personnel.
- Provides flexibility to fit into any business eco-system
- Seamless mechanism for delivering suggestions, and receiving feedback on those suggestions
Brand and marketing insights
Gain clarity into channels valued by customers and bottlenecks disrupting the customer journey and assess challenges and opportunities to proactively employ omnichannel actions. In-depth analysis of the market, competitive landscape, and actionable brand insights that helps to build brand strategy and direction
- Provides analysis of Channel Mix and measure campaign effectiveness
- Delivers Insights into brand promotional program success metrics, track engagement lifts, and KPIs
Content AI tagging
Helps to analyze customer interactions among approved content helping derive content affinity
- Match relevant content for selected audiences to find and share relevant content for the next customer engagement
Personas
Direct users
- Marketing Operations: Analyst
- Sales Operations: Analyst
- Data Scientist
Capability Consumers
- Sales Rep
- Brand Marketing
- Medical Science Liaison (MSL)
- KAM
- Nurse Educators
- Call Agents
Customer success stories
Case Study
Actionable Insights On Procedures For A Global Top 10 Company In The Cardiovascular Market
Case Study
Actionable Insights To Brand Teams Through Text Mining And Sentiment Analysis – Global Top 5 Pharma
Resources
Blog
Unveiling the Dynamics: Promotional Blackouts and Their Influence on Baseline Sales
Promotional blackouts, defined as strategically timed periods during which marketing promotions are intentionally withheld, have emerged as a noteworthy component of contemporary marketing ...
Webinar
Dynamic Targeting: The Key to Superior Customer Engagement and Improved Brand Reach
Datasheet