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Trial Intelligence

Trial Competitive Landscape by Therapy

Where you and your competitors are fighting for the same patients.

A live trial-competitive-landscape view by therapy area — competing trials, site overlap, eligibility overlap and recruitment risk.

Decision angle

"Where will we compete for the same eligible patients — and how do we adapt?"

TL;DR

Site and eligibility overlap with competing trials is the most underestimated recruitment risk. A live competitive landscape is the only way to plan around it.

Trial competitive landscape is the most underused intelligence input to clinical operations. Site and eligibility overlap with competing trials directly drives recruitment risk and timeline slippage.

Key insights

What we’re seeing in the data.

01

Site overlap drives recruitment risk

Three competing trials at one site usually means at least one will under-recruit.

02

Eligibility overlap defines real competition

Same TA + same line + similar inclusion criteria = head-to-head.

03

Sponsor capability shapes timing

Big pharma trial pace > biotech avg, especially for site activation.

Live
Tracking required
Continuous
TA
Slice
Therapy area
Site×Eligibility
Cross-axis
Mapping
Q
Refresh
Quarterly+
Decision framework

How to think about it.

  1. 01

    Pull competing trials

    TA × line × biomarker × phase.

  2. 02

    Map site overlap

    Identify high-conflict sites.

  3. 03

    Map eligibility overlap

    Inclusion / exclusion comparison.

  4. 04

    Score recruitment risk per site

    Composite metric.

Considerations

What separates a good answer from a defensible one.

Hidden trials

Not all competitor trials are publicly listed.

Eligibility drift

Protocol amendments shift overlap.

CRO conflicts

Same CRO running competing trials.

Sources & tools

Where the signal comes from.

ClinicalTrials.gov Cortellis trial data Site management dashboards CRO competitive intelligence
FAQ

Common questions.

How early should we map competing trials?

During protocol design — it shapes inclusion criteria and site selection.

Can we hide our trial?

Briefly. Most trials are visible by site activation. Plan accordingly.

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