For BU & Brand Performance

From Patient Signals to Stronger Brand Performance.

PACE gives Brand teams the independent intelligence layer to see growth opportunity and persistence risk earlier, understand patient dynamics, prioritise where to focus, verify PSP impact and protect treatment continuity, turning patient insights into stronger brand performance and therapy value.

A brand team in Riyadh reviews regional programme patterns on a wall of printed charts.
Illustrative PACE map of programme patient distribution across Saudi cities.
Patient distribution by cityIllustrative dashboard
  • See growth & value risk earlier

    Identify emerging growth opportunity and persistence risk before it becomes patient loss.

  • Focus on the right opportunities

    Prioritise indications, accounts, regions and patient segments with the highest potential impact.

  • Understand patient dynamics

    See new starts, switch-in, continuing/established and re-engaged patients alongside treatment continuity.

  • Verify PSP impact

    Track intervention follow-through and documented outcomes on persistence and continuity.

  • Protect therapy value

    Reduce avoidable leakage and strengthen patient-based planning and forecast confidence.

Current challenge

  • Persistence risk appears too late

    Sales and retrospective reports often show impact after patients have already delayed, extended intervals or discontinued.

  • Limited live-time visibility

    Unclear which patients are on track, drifting or at risk across accounts and regions.

  • Unclear patient dynamics

    Difficult to distinguish treatment-naive/new-start, switch-in, continuing/established and re-engaged cohorts.

  • Patient-flow leakage

    Drop-offs can occur between enrolment, initiation, ongoing treatment and continuity.

  • Unclear PSP contribution

    Difficult to connect support activity to measurable patient continuity and programme outcomes.

  • Disconnected data sources

    Programme, PSP and commercial planning data are often reviewed separately.

  • Forecast assumptions lag reality

    Patient mix, persistence and treatment-rhythm changes may not be reflected quickly enough.

Brand intelligence modules

Modules use the programme population covered by the PSP. They do not represent total-market share.
  • Patient mix

    Treatment-naive/new-start, switch-in, continuing/established and re-engaged/restarted, with cohort rules defined per programme.

  • Persistence-risk early warning

    On rhythm, monitor, emerging risk and high risk, based on documented treatment-rhythm signals. Not a clinical diagnosis.

  • Patient-flow & leakage

    Enrolment → initiation → active treatment → at-risk → interruption/discontinuation, using the population actually covered by the PSP.

  • Account / region performance

    Programme patient distribution, persistence risk, continuity and growth trends by permitted hospital/account grouping and region.

  • Saudi heatmap

    Patient concentration, growth momentum, persistence risk and opportunity, using accurate geography and aggregate data.

  • Forecast inputs

    Use enrolment, active-treatment trend, cohort mix, persistence and recorded intervals to inform planning assumptions.

  • Estimated therapy value at risk

    A clearly labelled scenario estimate using approved methodology. Explore your own assumptions in the value assessment.

  • PSP contribution

    Intervention completion, resolution and subsequent treatment status, without automatically attributing every retained patient to an intervention.

Brand decision areas

  • Growth and persistence
  • Emerging risk and therapy value at risk
  • Account/region/indication prioritisation
  • Patient mix
  • Intervention impact
  • Forecast confidence
  • Portfolio comparison

Executive outcomes

  • Earlier growth and risk signals
  • Lower avoidable patient leakage
  • Sharper account and indication prioritisation
  • Better patient-based forecast confidence
  • Clearer PSP contribution
  • Stronger retained therapy value

Bring one programme challenge. See how PACE addresses it.

Explore patient mix, persistence risk, account and region intelligence and forecast inputs for one brand programme.

Pilot proof-of-value measures

  • Time from risk signal to action
  • Overdue follow-ups
  • Ageing unresolved cases
  • Documented resolution
  • Persistence / discontinuation
  • Handover completeness