Problem: Whether you are a government agency, supplier or a prime, knowing which programs are working on the same problems or buying the same solutions as you is easier said than done.
As part of its goal to better serve its members which include government agencies as well as emerging companies, this federal intermediary organization wanted to get full visibility into federal government demand for embedded cyber. Their management team knew that existing market research methods wouldn’t work and there were potentially many other programs with needs that they weren’t able to identify.
Approach
Used Public Spend Forum’s AI-MI(TM) Demand Visibility workflow, which leverages our comprehensive demand datasets, demand matching algorithms, to identify potential customers for embedded cyber
To rapidly identify the full potential market and customers for embedded cyber, our analyst team used Public Spend Forum’s AI-MI™ DemandMatch(TM) to conduct a deep dive into the demand for embedded cyber.
First, we identified the “ontology” and market segments (“capability clusters”) for embedded cyber
Basic market research is flawed in many ways, especially when it comes to defining a market. Without the right keywords and understanding of how a market may be evolving over time, the research that follows results in missed opportunities. A specific example: a mobility solutions company used the term “urban transportation” to search for potential customers. Using our ontology tools, we also identified “city transportation” as a term used by cities. Jackpot – the new term resulted in an additional opportunity that would’ve been missed otherwise.
For this specific market planning exercise:
- To start, we identified the scope and definition of “embedded cyber”, utilizing a tool we call OntologyMatch™. The goal of this tool is to ensure we have a holistic definition of a market based on keywords, so we don’t miss any potential customers which generally occurs with typical search methods. The key to conducting the ontological analysis is having comprehensive datasets, which we have developed over the past 4 years.
2. We then developed an overall market segmentation, grouping into 15 capability clusters based on the nature of needs and requirements. This approach is especially useful in understanding the way government agencies or any buyers for that matter organize requirements versus how suppliers organize their capabilities.
The illustrations below show some of the AI-MI outputs that ultimately result in the Embedded Cyber Capability Clusters.”
Second, we ran our CustomerMatch™ algorithms against our GovShop Demand datasets
Even if you have the market taxonomy and keywords identified, the next problem most sales teams run into is a lack of data related to potential customers. The fact is data on government programs and demand is buried deep inside websites and documents. The typical approach, which most small businesses can’t afford, is to dig through tons and tons of information. That is typically an endless exercise.
That is why we have built out GovShop Demand datasets to be as comprehensive as possible while we append additional demand data for every client and market planning exercise.
Utilizing our demand datasets:
- Our AI-MI™ algorithms analyzed 2000+ federal programs, quickly narrowing matches down to 250+ potential programs with the need for embedded cyber
- Additional validation resulted in matches with 120+ program offices, with detailed customer profiles of each office used for prioritization
Results
Rapid market visibility and expansion of targets by over 300%
- Comprehensive market visibility – expanded visibility beyond the current Army market into the entire defense and civilian market to include 120+ programs
Sample of Identified Program Offices
In addition to identifying direct customers, PSF’s market planning approach includes identifying potential contracting and partnership channels including prime contractors already doing business with the government. In this case, the customer preferred not to identify partnerships but specifically focus on contracting channels. The result:
- Identified 100+ channel and contracting pathways to create a faster path to market
Customers and channels are great but ultimately you need people to call! The final result also included specific points of contact for each target, a part of our growing community.
Innovation Awards for SBIR/STTR – Supplemental Analysis
The customer also requested an additional analysis to identify emerging and diverse companies that had already won innovation grants or awards from the federal government. Using our enhanced SBIR/STTR database that includes AI-enriched definitions for each award, we:
- Identified 335 SBIR/STTR award winners related to the embedded cyber, for FY2019-FY2021
Sample of Identified SBIR/STTR Awarded Suppliers
“Your team provided our customers with an organized understanding and comprehensive visibility into the Federal embedded cybersecurity system market. For supplier members, you answered one of the most difficult questions to answer when engaging with the public sector, ‘Who buys what I sell?’. For our current Government customers, you helped answer ‘Who buys what I buy?’.“
Executive Director, Federal Intermediary Organization
How can we use AI-MI to help you?
If you are a company (or venture capital/PE firm) looking to accelerate growth or validate the market opportunities in the government market, please contact us at support@publicspendforum.net to learn more about Public Spend Forum’s Market Planning and Customer Matching service.
If you are a government agency, prime or investor looking to provide more transparency into your demand or collaborate with other agencies buying similar solutions, please contact us at support@publicspendforum.net to learn more about Public Spend Forum’s Market Planning and Customer Matching service.
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