BUSINESS INTELLIGENCE & ANALYTICS

Business Intelligence and Analytics

With over 15 years of transactional data and over a half million unique prescriber records, TrialCard clients depend on the Pulse Analytics platform to apply a laser focus to their targeting, uncover hidden opportunities for growth, and demonstrate brand effectiveness in support of positive patient outcomes.


Business Intelligence

Brands that use TrialCard go beyond "counts and sums" by using real-world data to answer complex business questions that directly impact their brand's performance.

  • TrialCard's laser-focus targeting puts an offer in the hands of prescribers and patients who use it most.
  • Field sales reps are equipped with up-to-date program data for the individual prescriber, enabling them to identify new opportunities and better support the high-value customers.
  • From the field to corporate headquarters, the entire team can have answers at their fingertips with a web-based dashboard and exportable reports.


Program Optimization

Budgets can be quickly depleted with a blanket approach. Program Optimization helps brands by:

  • Using real-world data to identify optimal program terms and high-value prescribers to generate the greatest return on program investment.
  • Using payer-mix data to pinpoint the right coverage categories, making an offer easy to structure so the sales force can best drive results in high-potential areas and minimize white space.
  • Developing marketing tactics and patient and prescriber messaging unique to a specific region based on observed behaviors.
  • Using key program data to support patient outcomes.




White Paper

Hiding in Plain Sight: Could Co-Pay Programs Be the Solution to Better Outcomes? DOWNLOAD





Offer Optimization

TrialCard's 15 years of experience designing business rules based on brand goals gives brands the ability to optimally run their program. Revenue goals can be achieved with advanced program logic that ensures ideal configuration. With Offer Optimization, brands can:

  • Determine price elasticity of a brand based on several market factors and craft their offer terms accordingly.
  • Avoid unnecessary subsidizing of prescriptions by using claim data to determine how much patients have demonstrated a willingness to spend.
  • Stay on track to reach NRx, TRx, and revenue goals by having the flexibility to revise offer terms based on incremental business reviews of program data.

Predictive Analysis

With Predictive Analysis, brands can develop more-effective strategies and budgets with insight into patient trends by:

  • Determine price elasticity of a brand based on several market factors and craft their offer terms accordingly.
  • Avoiding excess costs by accurately forecasting offer utilization and reimbursement spend.
  • Using analogs in the brand's same therapeutic class to forecast full life-cycle strategies and developing a long-range plan for success.
  • Enhancing their program by including additional services that have been proven to support their impact on positive outcomes.

Prescriber Targeting

With Prescriber Targeting, brands can increase the effectiveness of their promotions by:

  • Maximizing impact of rep-delivered promotions.
  • Expanding reach to key prescribers.
  • Maximizing productivity and profitability of targets.
  • Enhancing their existing target list to further increase ROI.



White Paper

The Role of Analytics in Co-pay ProgramsDOWNLOAD




Spillover Analysis

With Spillover Analysis, brands can quantify the true impact of their program with visibility on the full spectrum of activity it generates by:

  • Determining the revenue value of prescriptions written outside of their program.
  • Growing NRx and TRx through indirect program impacts that aren't accounted for in basic reporting.
  • Capitalizing on knowledge of their best-performing prescribers to further develop them as advocates for the brand.
  • Enhancing their existing target list to further increase ROI.



White Paper

Leveraging Patient Feedback Data to Support Effectiveness and Demonstrate OutcomesDOWNLOAD

How the Patient Feedback System Helped a Brand Achieve 60% Increase in NRxDOWNLOAD



Walkaway Analysis

With Walkaway Analysis, brands can reduce abandoned prescriptions by identifying at-risk patients and taking action to retain them by:

  • Determining price points that cause patients to walk away and adjusting offer terms to provide advantages to staying on a brand.
  • Capturing trends in pharmacy activity and correlating walkaways to specific prescribers to solve root issues causing a brand to lose patients.
  • Discerning if walkaways are financially driven or if other factors are the cause by conducting a thorough review of pharmacy claims.


Business Intelligence White Paper Library
A Winning Approach to Program Transition DOWNLOAD
Hiding in Plain Sight: Could Co-Pay Programs Be the Solution for Better Outcomes? DOWNLOAD
Leveraging Data & Analytics to Enhance Co-Pay Program Performance DOWNLOAD
The Role of Analytics in Co-Pay DOWNLOAD
Factors Affecting Adherence: the Relationship between Analytics and Advertising in Pharmaceuticals DOWNLOAD
Integrated Brand Life Cycle Patient Access Solutions that Maximize Brand ROI DOWNLOAD
Leveraging Patient Feedback Data to Support Effectiveness and Demonstrate Outcomes DOWNLOAD
How the Patient Feedback System Helped a Brand Achieve 60% Increase in NRx DOWNLOAD
Integrated Life Cycle Solutions that Maximize Brand ROI DOWNLOAD

For more information, please contact:

Mark Droke
Vice President, Sales
p: 919-845-0774 | e: