Loyalty Insights — Module Specification (Designer‑Ready, v1.0)

/modules/loyalty-insights

Page purpose (Design Standard — non‑negotiable)

This page positions Loyalty Insights as Primoro’s intelligence layer for patient loyalty, engagement, and retention — helping practices understand who is thriving, who is drifting, and where to act before patients disengage.

Loyalty Insights transforms everyday operational data into clear, prioritised insight, surfaced automatically across the platform — without manual reporting, spreadsheets, or guesswork.

Tone: confident, supportive, data‑led

Style: outcome‑focused intelligence — never overwhelming, never abstract

This page must communicate

• Loyalty Insights reveals what drives retention — and what puts it at risk
• Insights are behaviour‑driven, not vanity metrics
• Data is continuously updated and surfaced automatically
• Practices see where to act, not just what happened
• Works standalone with Primoro Core and deepens automatically when other modules are enabled
• Includes AI‑driven insight and proactive recommendations to improve retention

This page is not

• a static reporting or BI tool
• a manual analytics dashboard
• a marketing metrics module

Hero

Loyalty Insights — see loyalty clearly, act sooner

Understand patient loyalty, predict retention risk, and focus attention where it matters most.

Surfaces as a standalone insights view when enabled on its own — and integrates into Primoro’s Performance Dashboards when the Performance Suite is enabled, turning live patient data into clear, actionable retention insight.

Loyalty Insights helps practices replace assumptions with clarity — showing which patients are highly engaged, which are stable, and which need timely attention.

CTAs → Request a demo (/request-a-demo) → Explore the Primoro Platform

What Loyalty Insights does

Intelligence‑led by design: Loyalty Insights analyses real patient behaviour across the practice and converts it into clear loyalty signals and actionable insight.

It evaluates signals such as:

• appointment attendance and visit frequency
• recall compliance and response behaviour
• care plan and hygiene subscription longevity (when enabled)
• rewards participation and usage (when enabled)
• app engagement and responsiveness
• feedback and satisfaction trends (including sentiment signals)

These signals are combined into a unified view of patient loyalty and engagement health, surfaced at patient, cohort, and practice level.

Core capabilities (Design Standard)

1) App‑first engagement visibility

• In‑app behaviour is treated as a key loyalty signal
• Helps distinguish engaged vs passive vs disengaged patients
• Reinforces the app as the primary engagement channel

Designer intent: insight should mirror how patients actually interact — not rely on assumed engagement.

2) Loyalty scoring & segmentation

Patients are automatically grouped into clear, interpretable segments, such as:

• Highly engaged
• Stable
• At‑risk
• Disengaged

These segments update as behaviour changes, helping teams see cohort health without manual analysis.

Designer intent: make cohort health instantly understandable without charts overload.

3) Retention and churn indicators (early warning)

Loyalty Insights highlights early signals such as:

• missed or overdue recalls
• declining appointment frequency and visit gaps
• lapsed plans or subscriptions (when enabled)
• drop‑off in app or reward engagement

Allowing teams to intervene before patients quietly disengage.

4) Plan‑aware loyalty insights

When plan modules are enabled, Loyalty Insights provides visibility into:

• plan uptake and longevity
• retention differences between members and non‑members
• patients at risk of cancelling a plan

Designer intent: surface plan health as part of loyalty — not as a separate report.

5) Rewards & behaviour correlation

Integrated with Rewards Manager, Loyalty Insights helps answer:

• whether rewards improve recall compliance
• which incentives drive meaningful engagement
• how patient behaviour changes over time

Rewards become measurable — not assumed.

6) Practice‑level and cohort trends

• Track loyalty trends across the whole practice
• Compare cohorts (e.g. plan vs non‑plan patients)
• Identify engagement strategies that work

Insights support strategic decisions, not reactive firefighting.

AI‑driven insight (predict, explain, act)

Loyalty Insights includes AI‑driven capabilities that help the practice act earlier and more confidently:

• Churn risk prediction to identify patients at higher risk of becoming inactive
• Explainable reasons behind risk signals (e.g. sustained visit gaps, missed recalls, negative feedback)
• Proactive recommendations for what to do next, tied to retention outcomes
• Lifetime value awareness (where financial data is available) to understand the impact of losing specific patients

Designer intent: AI should feel like calm guidance — clear, human‑readable, and action‑oriented, never alarming or opaque.

Works standalone — deepens with modules (no dead ends)

Loyalty Insights delivers value with Primoro Core data alone — including recall compliance, visit frequency and engagement indicators — and automatically enriches insights when other modules are enabled (for example Rewards Manager, Care Plans, Outreach).

Designer intent: where an insight can be made more powerful with an optional module, show it as “available when enabled” — without degrading the core experience.

How Loyalty Insights is used

Loyalty Insights supports teams to:

• prioritise follow‑up for at‑risk patients
• inform recall and reconnect strategies
• refine rewards and care plan offerings using evidence, not assumptions
• align engagement efforts across the team

It surfaces where to act, not just what happened.

Visual guidance (for designers)

Design should emphasise clarity, prioritisation, and actionability:

Dashboards & views

• At‑a‑glance loyalty health indicators (retention, recall compliance, engagement trend)
• Clear segmentation states with plain labels (Highly engaged / Stable / At‑risk / Disengaged)
• Trend indicators (improving / declining) with simple context

Patient‑level insight

• Loyalty status visible on the patient record
• Clear, calm flags for “at‑risk” and “needs follow‑up”
• “Why flagged” explanations in plain language (no scores without meaning)

Action surfaces

• One‑click handoff to Recall & Reconnect / Outreach / Tasks where enabled (act from insight)

Design principles

• Fewer metrics, stronger meaning
• Insight first, detail on demand
• Avoid cognitive overload

How it fits within Primoro

Loyalty Insights works alongside:

• Primoro Core & PMS data (appointments, recalls, attendance)
• Patient Mobile App (engagement signals)
• Recall & Reconnect (retention action)
• Rewards Manager (engagement effectiveness)
• Care Plan Subscriptions and Hygiene Subscriptions (plan retention signals)
• Campaigns & Outreach (targeted action, when enabled)
• Performance Dashboards (practice‑level oversight)

It acts as the intelligence layer behind retention and engagement decisions.

Frequently asked questions

Does Loyalty Insights require a loyalty or rewards programme?

No. Loyalty Insights works with Primoro Core data alone. When Rewards Manager or Plans are enabled, insights deepen automatically.

Does Loyalty Insights include AI‑driven predictions and recommendations?

Yes. It can identify at‑risk patients, surface drivers of loyalty, and recommend targeted actions to improve retention.

Is this a reporting tool or an action tool?

It is designed to be an action tool — surfacing prioritised insight and enabling earlier intervention, not manual reporting.

Is this suitable for multi‑site or group practices?

Yes. Loyalty Insights supports cohort comparison and practice‑level trends across sites.

Is patient data secure?

Yes. Insights use existing Primoro data sources and respect role‑based access and data governance standards.

Final CTA

Understand loyalty. Predict retention. Act with confidence.

→ Request a demo (/request-a-demo) → Explore the Primoro Platform

Loyalty Insights — Module Specification (Designer‑Ready) v1.0

Aligned to Primoro Design Standard