Seamless data-driven decisions

Customer Insights advanced intelligence significantly boosts business intelligence by seamlessly blending third-party data with Exeevo data, offering a comprehensive 360-degree view and perspective on HCP behavior.

Empower sales, marketing, and medical teams with one holistic view of your customers.

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Dynamic Content Generation

Expertly merge external data with CRM data to get a richer, more detailed understanding of customer behaviors and preferences.

Advanced Behavioral Insights

Leverage integrated data to deliver deeper insights into customer behavior, enabling businesses to tailor their strategies and offerings effectively.

Strategic Actionable Insights

Synthesize complex data sets into actionable insights to gain a competitive edge in understanding and anticipating customer needs and trends.

  • Identify high-value and at-risk customers
  • Recommend relevant products and services
  • Discover new audience segments
  • Track business performance
Omnipresence Customer Insights Analytics
  • Identify high-value and at-risk customers
  • Recommend relevant products and services
  • Discover new audience segments
  • Track business performance
Choose your data connector

Data provides ingestion of a single data source to get you up and running quickly. Provide your own data in a .csv file or choose sample data. Customer Insights uploads and unifies the data to create a customer profile and then automatically generates insights on it.

Customer-Insights-Power-BI
Add data rules

Defines matching rules to help define which data is most important. When records are matched, they’re concentrated into a single record with all the fields from each table. 

Omnipresence customer insights unify data
Choose optional data enrichment

Use additional enrichments to enhance your unified customer data. Choose the connections for the specific enrichments that’s required.

Get relevant insights

The combined view of your data choices provides one unified customer profile on the Customers page. Customers can be individuals or organizations.

Customer Insights data capture

Customer Insights easy-to-deploy codeless integration

Easy to use, code-less integration allows your team to take advantage of the technologies and skills they already have. Our drag-and-drop user interface makes it easy to set up within minutes.

9 ways Customer Insights delivers personalization at scale

Actionable outcomes

Translate insights into action by triggering workflows and automation across marketing, sales, and service departments. Orchestrate personalized customer experiences everywhere.

Customization and extensibility

With extensive customization options, users can tailor the platform to their needs. It also integrates with other Microsoft products and hundreds of third-party applications via pre-built connectors.

Real-time insights

Get real-time analytics and insights to act promptly on customer interactions and data changes. This is critical for maintaining up-to-date customer profiles and delivering personalization at scale.

Powerful scalability

Accommodate a growing amount of data and increasingly complex customer interactions with our scalable solution, ensuring it can support businesses as they expand.

Seamless integration with Microsoft

Customer Insights works seamlessly with other Dynamics 365 applications to enable a comprehensive approach to customer relationship management.

Self-service analytics

Empower your Team and users with self-service analytics and visualization tools that don’t require a deep technical background, allowing for democratized access to insights.

Unified customer data and view

Combine data from multiple sources to create a comprehensive, 360-degree view of each customer. Understand customer behaviors, preferences, and trends across all touchpoints.

AI and machine learning

Advanced analytics, AI, and machine learning predict customer behavior to provide personalized insights and recommendations, immediately improving customer engagement and satisfaction.

The power of natural language

Built using Microsoft Copilot, users to investigate the full range of customer data. Users can create new metrics, segments, or groupings through natural language prompts.

Leveraging the latest advances in generative AI and data management, Customer Insights enhances insight discovery using natural language prompts to simplify the discovery process.

Natural language prompts allow users to identify untapped insights across markets and audiences rapidly. These insights then enable the orchestration of customized experiences across every customer touchpoint, dramatically simplifying creating and improving the organization’s journeys and campaigns.

Exeevo customer insights

Enjoy complete service and data freedom

Frequently Asked Questions

Customer insight involves understanding and interpreting customer data, behaviors, and feedback to draw conclusions that can be used to drive actions that improve product development and customer support.

There are 5 easy steps to data unification. The unification process maps customer data from your data sources, removes duplicates, matches the data across tables, and creates a unified profile. Unification is performed in the following order:

Source fields: In the source fields step, select tables and fields to include in the unify process. Map fields to a common type that describes the purpose of the field.

Duplicate records: In the duplicate records step, optionally define rules to remove duplicate customer records within each table.

Matching conditions: In the matching conditions step, define rules that match customer records between tables. When a customer is found in two or more tables, a single consolidated record is created with all columns and data from each table.

Unified customer fields: In the unified customer fields step, determine which source fields should be included, excluded, or merged into a unified customer profile

Review and create the unified profile.

Exeevo Customer Insights includes custom and out-of-box models that leverage AI and machine learning to predict data. The easiest way to start predicting data is using predefined models, often called out-of-box models. They only require certain data and structure to generate insights quickly. The following out-of-box models are available:

Customer lifetime value: Predicts the potential revenue of a customer throughout the entire interaction with a business.

Product recommendation: Suggests sets of predictive product recommendations based on purchase behavior and customers with similar purchase patterns

Subscription churn predicts whether a customer is at risk of discontinuing use of your company’s subscription products or services.

Transactional churn predicts whether an individual customer will no longer purchase your products or services in a certain time frame.

Sentiment analysis: Analyzes sentiment of customer feedback and identifies business aspects that are frequently mentioned.

There are two types of data export models available.

Data-out exports let you export any type of table available in Customer Insights. The tables that you select for export are exported with all data fields, metadata, schemas, and mapping details. A common use case for exporting full tables, which we call a data-out export, is to share data to Azure Data Lake Gen2, where organizations can further process these tables with their custom solutions.


Segment exports let you export segment tables from Customer Insights. Segments represent a list of customer profiles. When exporting segments, you choose which data fields to include in each export. A common use case for such exports is sharing lists of your customers to advertising services like Google Ads or Meta Ads for marketing purposes.

The right unified solution is all you need