The PIRL AI-platform, delivers optimum sales and marketing strategies that drives efficiency and provide statistical evidence of commercial objectives being met.
PIRL transcends persona-based segmentation by offering a comprehensive view of HCP decision-making.
AI for
Omnichannel excellence
Dynamic content strategy
Compelling creative
Competitor differentiation
Precise messaging
Optimum sales strategy
Audience Profiling
and Mapping
PIRL builds audience profiles from the ground up, segmenting them precisely. We then map the geographical location of these segments, optimising engagement strategies across all channels for maximum impact.
This bottom-up profiling and precise segmentation provide a competitive advantage by enabling highly targeted engagement, enhancing market penetration, and improving overall marketing efficiency.
Propensity
Modelling
PIRL’s advanced propensity model harnesses extensive data beyond traditional methods (such as previous prescribing behaviours), incorporating diverse factors to train machine learning algorithms. This approach identifies unique high-priority audience segments, predicting product purchase likelihood across the entire HCP audience in a specific market.
Uncovering unique high-priority segments, enhances targeting accuracy and efficiency, giving you a significant edge over the market.
Behavioural
Analysis
PIRL enables you to turn factors like competitor activity, product profiles, organisational priorities, people’s passions, peer behaviour and cultural trends into data that can be processed and analysed.
By converting these diverse factors into actionable data, PIRL empowers you to make more informed decisions, optimise your marketing efforts, and ultimately achieve a more effective and efficient sales and marketing strategy.
PIRL mitigating risk by analysing all adoption factors
Traditional go-to-market strategies often miss crucial data, limiting your audience understanding, damaging commercial results.
PIRL transcends persona-based segmentation by offering a comprehensive view of HCP decision-making.
PIRL integrates data from five critical domains:
Product landscape
HCP
Organisation
Environment
Patient
This includes insights on competitor marketing activity, treatment options, hospital priorities, peer behaviour, and cultural trends.
How PIRL does it.
PIRL combines brand-specific custom-made datasets, its existing healthcare dataset, and your existing audience and insights data. This comprehensive data collection is processed using advanced machine learning algorithms to achieve two main outcomes: Next-level audience segmentation and mapping, and a deep understanding of the logical and emotional needs of your audience. This allows for highly targeted engagement strategies across all channels, optimising your go-to-market efforts for the future.
