PIM™ — Prescription Impact Measurement

Cross-Channel Measurement of Prescription Impact

Move beyond surface-level attribution by isolating true causal lift through exposed versus unexposed HCP cohort analysis.

PIM™ quantifies how marketing engagement drives incremental prescription behavior.

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Proven Results

Performance at Scale

0x

Median ROI measured across brand campaigns

0–6mo

Typical pre/post exposure windows

0+

Touch rule for statistically valid cohorts

Why PIM™

Why Pharmaceutical Brands Need PIM™

True Incremental Lift

Measures true incremental TRx and NRx lift - not vanity engagement metrics

ScriptLift Methodology

ScriptLift & Cohort Design

Connects marketing exposure directly to prescription behavior. Ensures meaningful exposure while maintaining statistically valid cohorts.

1

Exposed HCP

≥2 validated touches per NPI across any channel

2

Control Cohort

0–1 total touches, ensuring valid comparison

3

Real Engagement

Ensures real human engagement while preserving cohort scale

Exposed vs. Unexposed

Primary methodology for determining true media effectiveness

Pre vs. Post Analysis

Tracks prescription trends before, during, and after campaign exposure

Competitive Analysis

Benchmarks brand performance against competitor NDCs

Quarterly Deep-Dives

Quarterly PIM™ deep-dive analyses with strategic recommendations

Measurement Coverage

Unified Measurement Across All Channels

PIM™ measures incremental prescription lift across every SloganTech activation channel, providing a unified view of omni-channel impact.

EmailReachAI™

High-volume and targeted email

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AdReachAI™

Programmatic display, video, and CTV

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SocialReachAI™

HCP social activation

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RxReachAI™

Point-of-care and EHR exposure

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Core Measurement

What PIM™ Measures

Evaluates changes in TRx, NRx, and brand vs. generic mix. Measures share shift and message effectiveness in-market.

Compares Rx volumes between HCPs exposed to campaign media vs. control cohorts
Evaluates real prescribing behavior at the individual NPI level
Tracks prescription trends before, during, and after campaign exposure
Benchmarks brand performance against competitor NDCs
Measures share shift and message effectiveness in-market
Designed for rare disease and low-volume markets with statistically sound methodology

Deployment Framework

Our 4-Phase Measurement Process

1

Measurement Design & Cohort Definition

  • Define exposed vs. control HCP cohorts
  • Confirm exposure windows (3–6 months)
  • Finalize NDC lists and competitive sets
  • Align on success metrics
2

Engagement-to-Prescription Data Integration

  • Aggregate cross-channel engagement at NPI level
  • Link engagements to dispense datasets
  • Normalize exposure signals across channels
3

Incremental Lift Calculation & Validation

  • Apply exposed vs. unexposed lift equations
  • Calculate incremental TRx and NRx lift
  • Validate statistical confidence thresholds
4

Reporting, Insights & Optimization

  • Channel-level lift comparisons
  • Optimization recommendations

Enterprise Analytics

Extend PIM™ with Ongoing Measurement

Extend PIM™ with ongoing measurement operations for sustained optimization. Quarterly PIM™ deep-dive analyses with strategic recommendations ensure your campaigns continuously improve.

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Ready to get started with PIM™?

See how PIM™ can quantify the true impact of your omni-channel marketing on prescribing behavior.

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