Customer Insights – Data

By analysing purchase history, behaviour and intent signals, the platform identifies opportunities to recommend complementary products or services, increasing lifetime value without guesswork.

Absolutely. In industries like healthcare or financial services, unified profiles ensure service staff have the full context. That helps reduce errors, meet compliance standards and provide more personalised service.

By unifying data from events, renewals, website activity and communications, Customer Insights – Data builds a complete profile of each member. That helps with renewals, personalisation and member satisfaction.

Yes. Predictive models can analyse past giving patterns, engagement signals and demographics to score likelihood to donate, identify churn risk, and suggest next best actions to retain supporters.

Continuous Improvement means reviewing your segments, measures and AI models, refining triggers or connectors, updating governance, and ensuring the system evolves as your data, usage and business needs change.

Yes. The platform is designed to work with other Microsoft tools like Journeys, Power BI and Dataverse to activate segments or visualise results.

Outcomes often include improved customer engagement, better cross-sell/up-sell decisions, reduced churn, clearer reporting dashboards, faster decision-making and lower cost of manual data handling.

You have control over capacity, licensing options and performance scaling so the system can handle higher data volumes without performance bottlenecks or unexpected costs.

It’s the process of defining groups of customers (segments) and metrics (measures) aligned with your goals, such as churn risk, high-value customers or engagement levels, so you can monitor and act on them.

Ensure the system has consent capture, processes for data deletion, location/regional data control, audit logs and role-based access. These are all built-in features, but each org must configure them properly.

Avoiding unclear data ownership, not defining KPIs first, ignoring data quality, over-customising too early, or failing to plan for governance and scalability.

Any sector with multiple data sources, engagement channels and growth goals benefits. For example, membership organisations, nonprofits, customer-facing services, retail, and regulated industries find particular value.

We typically begin with a discovery session to understand your data sources, business questions or KPIs, then work out which connectors are needed, set up identity resolution, build initial segments and dashboards.

Absolutely. In addition to out-of-the-box models, you can define your own predictive models or logic to suit your organisation’s specific needs.

Profile enrichment adds demographic or partner data, helps fill in missing information, and ensures your unified profiles are richer. That improves targeting, personalization and predictive accuracy.

Yes. Once you’ve built and defined your segments (e.g. high-value customers, churn risk, cross-sell-opportunity), you can push them into systems like Campaign Journeys, CRM, or other customer engagement tools.

The platform includes consent tracking, privacy and security controls, audit and governance dashboards, and is built to comply with standards like GDPR. As you grow, licensing and capacity controls help keep things scalable.

Fairly quickly. Once source systems are connected and data ingested, you’ll have basic insights, segments and measurements almost immediately. More advanced or custom predictive models take more time.

Features include predictive modelling (intent-scoring, churn risk, value scoring), automatic segment refresh, plain-language questions via Copilot and dashboards that highlight trends or anomalies.

The system uses identity resolution, deduplication and connectors to ingest data from multiple sources. It unifies customer data into a 360° profile so that your insights and decisions rest on accurate, cleaned data.

Because many organisations struggle with data scattered across different systems. Having one trusted profile per customer means clearer reporting, less duplication, better personalisation and stronger strategy.  

Dynamics 365 Customer Insights – Data is a unified platform to bring together transactional, behavioural, demographic and third-party data into clean, governed customer profiles. You get predictive insights, segmentation and measures that help with decision-making.