Segmentation
Lyriko Segmentation enables the creation of dynamic customer segments by leveraging data from past interactions.
It identifies target groups by analyzing their propensity for specific interests or actions using state-of-the-art machine learning algorithms.
Key Features
Dynamic Customer Segmentation
Automated Engagement Scoring
ML-Based Similarity Analysis
Marketing Automation Integration
Continuous Optimization
How does it work?
- Data Collection: the system aggregates customer data from past interactions to build comprehensive profiles.
- Engagement Scoring: the tool automatically calculates engagement scores and assigns customers to dynamic segments.
- Customer Similarity Analysis: the system utilizes machine learning to identify similar customers and recommend the most relevant content.
- Integration with Marketing Objectives: the tool aligns segmentation outputs with business goals for actionable insights.
- Periodic Updates: the system continuously refreshes customer segments and integrates with marketing tools and digital properties.
Expected Benefits
Improve targeting with dynamic segmentation
Boost engagement with personalized content
Integrate seamlessly with marketing platforms
Enhance decision-making efficiency
Save time with automated processes
FAQs
What is data segmentation in pharma?
Data segmentation is the practice of grouping HCPs into meaningful audiences based on their data, behaviors, interests, engagement, and preferences, so marketing and sales can target each group with the most relevant message and channel. Done well, it replaces one-size-fits-all outreach with personalized, efficient engagement.
What is Lyriko Segmentation?
Lyriko Segmentation creates dynamic customer segments by leveraging data from past interactions. Using state-of-the-art machine learning, it identifies target groups based on their propensity for specific interests or actions, so pharma teams can target the right HCPs with the most relevant content, instead of relying on static, manually defined lists.
How does Lyriko Segmentation work?
It works in five steps:
1. It aggregates customer data from past interactions to build comprehensive profiles;
2. It automatically calculates engagement scores and assigns customers to dynamic segments;
3. It uses ML to find similar customers and recommend the most relevant content;
4. It aligns segmentation outputs with marketing objectives;
5. It continuously refreshes segments and integrates with marketing tools and digital properties.
How is dynamic segmentation different from traditional, static segmentation?
Traditional HCP segmentation is usually refreshed once a year and based on historical data, so it quickly becomes outdated and misses behavioral shifts. Lyriko’s dynamic segmentation continuously ingests interaction data from CRM, events, and digital channels, clustering HCPs into behavior-driven segments that automatically evolve as patterns change, keeping targeting always current.
What is automated engagement scoring?
Engagement scoring is an automatically calculated measure of how engaged each customer is, based on their past interactions. Lyriko uses these scores to assign customers to the right dynamic segment without manual effort, so teams can prioritize HCPs by potential and engagement level and focus resources on the highest-value clusters.
How does the ML-based similarity (look-alike) analysis help?
Lyriko’s machine learning identifies customers who are similar to one another and recommends the most relevant content for each group. This “look-alike” analysis helps extend successful engagement strategies to comparable HCPs and ensures each segment receives content aligned with its interests and behavior.
What data sources does Lyriko Segmentation use?
Segmentation builds its profiles from data on past interactions, continuously ingesting signals from CRM, events, and digital touchpoints. By combining these into a single behavioral view of each HCP, it can cluster HCPs by specialty, engagement level, and content preferences, and keep those clusters accurate as new data arrives.
What kinds of segments can Lyriko create?
Lyriko builds behavior-driven segments based on specialty, engagement level, and content preferences, for example clusters such as digital adopters, high engagers, or KOLs/speakers. Each segment is paired with a tailored engagement strategy that evolves automatically as HCP behavior changes, ensuring the right message reaches the right HCP at the right time.
Does Lyriko Segmentation integrate with marketing automation and stay up to date?
Yes. Segmentation aligns its outputs with business goals and integrates seamlessly with marketing automation tools and digital properties, so segments are directly actionable in campaigns. It also updates periodically, continuously refreshing segments as new interaction data arrives, no manual re-segmentation required.
What are the benefits of Lyriko Segmentation?
Segmentation improves targeting with always-current segments, boosts engagement through personalized content, integrates seamlessly with marketing platforms, enhances decision-making efficiency, and saves time by automating a process that is otherwise manual and quickly outdated. The net effect is more relevant engagement and resources concentrated on high-value HCP clusters.
Who uses Lyriko Segmentation?
Segmentation is built for pharma marketing and customer-engagement teams that need to target HCPs precisely and keep segments current. Brand and campaign managers use it to plan personalized, omnichannel outreach, while sales and commercial-excellence teams benefit from clearer prioritization of high-potential HCPs.
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