Embedded Service
Category Intelligence
Category analysis, competitive landscape mapping, and demand modelling powered by zone-level geographic intelligence across 1,360 zones and 44 official data sources.
Market research grounded in geographic reality
What You Get
Capabilities Delivered
Therapeutic Area Analysis
Category sizing and segmentation at zone level, not just provincial averages.
Competitive Landscape Mapping
Molecule-level competitive analysis grounded in where products are actually dispensed.
Demand Modelling
Zone-level demand estimation using disease burden, demographics, and healthcare infrastructure data.
Data Integration
Your existing commercial data integrated with Her-Zone geographic truth for compound insight.
Regulatory Landscape
SEP pricing analysis, scheduling changes, and registration trends mapped to commercial impact.
The Number That Hides Everything
Your market share is 14%. National. Aggregated. Reported quarterly.
That number is real. It is also nearly useless.
What 14% Actually Means
In one province, you hold 28%. In another, 6%. In the urban centres of that second province, 19%. In the rural zones of the first, 3%.
The national number averages away the only information that matters: where you are winning and where you are not.
Provincial breakdowns help. Zone-level analysis changes decisions.
What Provincial Averages Hide
Most market research in South African pharma operates at national or provincial level. The data exists. The reports are produced. Strategy is built on them.
The problem is not the data. The problem is the resolution.
Demand varies by zone
Disease burden, demographics, income levels, and healthcare infrastructure create different demand profiles within the same province. A provincial average smooths these differences into invisibility.
Competition varies by zone
Your competitor may dominate urban pharmacies and be absent from rural dispensing licence holders. Provincial market share tells you neither of these things.
Access varies by zone
Some zones have 20 pharmacies. Some have none. The same product strategy cannot work in both. Zone-level data makes this visible.
Seasonality varies by zone
Seasonal demand peaks at different times across regions. A provincial calendar misses the local timing. Zone-level analysis catches it.
Category Intelligence at Zone Level
We work with your existing data and integrate it with Her-Zone geographic intelligence.
Your commercial data tells you what happened. Her-Zone tells you where and why.
The integration produces analysis at a resolution that provincial reports cannot reach:
How We Work Together
Scope and Data Alignment
Define the therapeutic category, the commercial questions, and the data available. We review your existing commercial data and identify what Her-Zone can add.
Data Integration
Your data integrated with Her-Zone geographic intelligence. Zone-level mapping of demand, competition, and access for the target category.
Analysis and Pattern Recognition
Category sizing at zone level. Competitive landscape mapping. Demand-supply gap identification. Geographic opportunity scoring.
Delivery and Discussion
Findings delivered as a structured report with zone-level detail. We walk through the analysis together. Your team decides what to do with it.
What You Walk Away With
Category sizing at zone level
Market size and growth rates for your therapeutic area, disaggregated across 1,360 zones.
Competitive landscape map
Where competitors are strong, where they are weak, and where nobody is competing.
Demand-supply gap analysis
Zones where demand exists but supply or access is limited. Quantified, not estimated.
Geographic opportunity scores
Ranked zones by commercial potential for your specific category.
Integration with your data
Your commercial data mapped to geographic reality. Not a separate report. An integrated view.
The Foundation Layer
Her-Zone’s geographic intelligence is built on open data. The foundation layer is Creative Commons.
Open Foundation, Commercial Application
Demographics, healthcare infrastructure, disease burden, pharmacy locations. These data points come from public sources and are available for anyone to use.
What we add is the integration, the zone-level analysis framework, and the commercial application specific to your category and your data.
We adhere to data provider restrictions in line with the ISO 27001 standards we are actively pursuing. Your data stays in your engagement. Our geographic intelligence enhances it without crossing contractual boundaries.
The Question Worth Asking
Where are you competing against averages instead of reality?
Category Intelligence does not replace your existing market research. It grounds it in geography. The same data, at higher resolution, answering the question that matters most: not just how big the market is, but where the market is.
Your Data, Grounded in Geographic Truth
We work alongside your existing data. Syndicated, internal, or both. We integrate it with 1,360 zones of geographic intelligence to surface what provincial averages hide.
Your team decides what to do with what we find.
Questions
Frequently Asked Questions
What is Category Intelligence?
Category Intelligence is market research that starts with geography. Instead of national or provincial averages, we analyse therapeutic categories across 1,360 zones using 44 official data sources. The result is a granular picture of where demand exists, who is competing, and where gaps remain.
What data do you need from us?
We work with what you already have. Syndicated data, internal sales data, CRM extracts. We integrate your data with Her-Zone geographic intelligence to surface patterns that aggregated views hide. The more granular your data, the more precise the analysis.
How is this different from syndicated market reports?
Syndicated reports typically aggregate to national or provincial level. We disaggregate to zone level. A national market share number hides enormous geographic variation. Category Intelligence reveals where you are strong, where you are weak, and where nobody is competing at all.
Can you analyse specific therapeutic areas?
Yes. We have delivered category intelligence across multiple therapeutic areas including respiratory, paediatric, oncology, and chronic disease management. Each analysis is built from the ground up using disease burden data, prescriber profiles, and dispensing patterns specific to that category.
How long does a category analysis take?
Typically 4-6 weeks from data receipt to delivery, depending on category complexity and data availability.
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Ready to Transform Your Commercial Operations?
Let's discuss how Category Intelligence can deliver measurable outcomes for your business.