Optimal-brand-coverage-and-performance-across-managed-markets

    Optimal brand coverage and performance across managed markets

    Treatment value and patient outcomes with innovative AI-enabled solutions.

    Managed care analytics

    Outcomes-oriented policy changes and pricing pressures from overlapping market fragments introduce countless changes in the life sciences managed care ecosystem. These industry forces continuously transform the payer and provider landscape. Managed markets teams are seeking data-driven analytics capabilities to address such market access challenges and requirements.

    Deep experience across traditional and emerging market access data sources can feed AI-driven solutions to answer pressing business questions. Axtria’s managed care analytics techniques harness the power of cross-channel data sets to provide ‘where to play’ and ‘how to win’ strategies in a multi-stakeholder model, driving product performance and coverage.

    Managed-care-analytics

    AI/ML-driven solution applications

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    Predict brand share impact with market access and contracting changes for informed strategies and rebate discussions

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    Measure the impact of payers on brand performance with multivariate modeling for direct and indirect quantification

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    Analyze market access scenarios to enable granular plan-level contracting decisions

    Axtria’s comprehensive ‘managed care framework’ and performance indicators

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    Customer groups

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    Payers

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    Providers

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    Patient

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    Trade

    • Payer access
    • Sales performance
    • Rebates
    • Claims rejections and reversals
    • Sales performance
    • Channel distribution (Hospital/IDN/GPO)
    • Chargebacks
    • Copay cards
    • Vouchers
    • Rebate programs
    • Benefit investigations
    • Wholesale and downstream inventory
    • Trade SLA compliance

    High-impact solutions offered

    Managed markets analytics and HEOR

    Managed markets analytics and HEOR

    Unveil market complexities with Axtria’s deep domain and strategy consulting expertise in managed markets, and hands-on experience with traditional and emerging datasets in this space.

    Managed care spillover

    Managed care spillover

    Examine the impact of ‘share of practice’ changes in one category on others. Data from multiple feeds come together into the modelling environment, to help map the managed care landscape for a brand.

    Copay elasticity analysis

    Copay elasticity analysis

    Drive your product market share by assessing the impact of self and competitor copay by individual plan category, with the help of Axtria’s copay elasticity models.

    Deal assessment

    Deal assessment

    Optimize deal performance with a comprehensive evaluation of all the factors that influence a deal. Axtria’s deal assessment framework provides predictive capability for effective negotiations.

    Managed care influence analysis

    Managed care influence analysis

    Optimize resource allocation by assessing managed care influence along with other local drivers. With geography profiling for each key driver, the analysis can be performed at a sub national level (varied geography levels).

    Payer segmentation

    Payer segmentation

    Focus on high value payer segments with Axtria’s segmentation models that help guide ‘where to play’ and ‘how to win’ decisions. Key outputs include actionable segments, opportunities, and action plans.

    Axtria research hub

    White Paper

    Axtria MarketingIQ™ as a Scalable Self-Service Alternative to Custom MMx Tools

    Report

    From Chaos to Cohesion: The Power of Productized Marketing

    Webinar

    Keeping Omnichannel Marketing Analytics Simple

    Customer success stories

    Case Study

    8% Jump in Revenue With an Axtria MarketingIQ - based Global Marketing Mix Solution

    Case Study

    Marketing Mix Analysis For A Specialty GI Drug Contributed Significant Top-Line Growth For A Top-10 Pharma Company

    Case Study

    Maximizing Marketing ROI For A Global Pharma Company Using Market Mix Modeling