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Competitive Intelligence

Product Benchmarking Framework

Score products on what HCPs and payers actually use to choose.

A defensible product benchmarking framework spanning clinical, commercial, access and patient-experience dimensions — for launch, brand and competitive teams.

Decision angle

"How does our product actually compare on the dimensions that drive HCP and payer choice?"

TL;DR

Useful benchmarking goes beyond "efficacy + safety" to score products on real HCP/payer decision drivers — onset, durability, administration, monitoring burden, payer fit, and patient experience.

Most pharma “competitive grids” are exhaustive feature lists. Useful benchmarks are weighted scorecards built around how HCPs, payers and patients actually decide — and they update quarterly with new evidence.

Key insights

What we’re seeing in the data.

01

HCPs choose on a multi-axis scorecard

Efficacy is necessary, not sufficient — onset, durability and admin matter equally.

02

Payers value durability and predictability

Outcome predictability and total cost of care drive formulary placement.

03

Patient experience increasingly weighted

Adherence, monitoring burden and pen vs IV infusion shape long-term success.

04

Real-world evidence reshapes scorecards

Post-launch RWE moves the benchmark — defenders and challengers must adapt.

5
Benchmark dimensions
Clinical/Commercial/Access/Pt-Exp/RWE
KOL
Validated weighting
Per TA
Quarter
Refresh
Cadence
Live
RWE feed
Continuous
Decision framework

How to think about it.

  1. 01

    Build the product set

    All credible competitors in the target indication × line.

  2. 02

    Define benchmark dimensions

    Clinical, commercial, access, patient-experience, RWE.

  3. 03

    Weight via KOL/payer input

    TA-specific weighting validated externally.

  4. 04

    Score quarterly

    Update with new readouts and RWE.

  5. 05

    Translate to message map

    Benchmark gaps inform HCP and payer narrative.

Considerations

What separates a good answer from a defensible one.

Avoid efficacy-only scoring

Single-axis benchmarks mislead.

Country-specific weighting

Payer dynamics shift weighting by geography.

Real-world drift

RWE often diverges from trial benchmarks.

Combinations

Combination context can dominate single-product comparison.

Sources & tools

Where the signal comes from.

KOL benchmark survey frameworks Payer interview frameworks EvaluatePharma RWE feeds (claims/EHR)
FAQ

Common questions.

Single benchmark or multiple?

Multiple: HCP-perspective, payer-perspective, patient-perspective. Each surfaces different gaps.

How is benchmark different from "competitive grid"?

Grid is feature-driven; benchmark is decision-driven, weighted by who actually decides.

Want this answered on your data?

We build decision systems on top of analyses like this — so the next question takes minutes, not weeks.

Talk to a strategist