Category Intelligence
Market research grounded in geographic reality
Category analysis, competitive landscape mapping, and demand modelling powered by zone-level geographic intelligence across 1,480 zones and 44 integrated data sources.
What You Get
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.
Flu Intelligence
13 seasons of flu surveillance data. Zone vulnerability scoring. Onset prediction modelling.
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 doctors. 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
Flu onset in Gauteng and flu onset in the Western Cape differ by weeks. Provincial timing misses this. Zone-level surveillance 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.
Flu Intelligence: A Capability Within Category Intelligence
South Africa experiences distinct flu seasons with significant geographic variation.
13 Seasons of Data
We maintain flu surveillance models spanning 13 seasons. This data supports zone-level vulnerability scoring: which zones are likely to experience early onset, which face higher burden, and which have limited pharmacy access during peak weeks.
This is not a forecast. It is a geographic risk assessment built on observed patterns.
Flu intelligence supports:
Seasonal planning
Align inventory and field force deployment to zone-level onset timing, not national averages.
Competitive positioning
Identify zones where respiratory category competition is thin and demand is growing.
Weekly monitoring
During flu season, weekly data updates track positivity rates and geographic spread.
What You Walk Away With
Category sizing at zone level
Market size and growth rates for your therapeutic area, disaggregated across 1,480 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 1,480 zones of geographic intelligence to surface what provincial averages hide.
Your team decides what to do with what we find.
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 1,480 zones using 44 integrated 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.
What about flu intelligence specifically?
Flu intelligence is a capability within Category Intelligence. We maintain 13 seasons of flu surveillance data with zone-level vulnerability scoring. This supports seasonal planning, inventory allocation, and field force deployment during flu season.
How long does a category analysis take?
Typically 4-6 weeks from data receipt to delivery, depending on category complexity and data availability. Flu intelligence is available on an ongoing basis with weekly updates during flu season.
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