Madison Logic company overview
About
Expert Vetted Data
Public disclosures rarely capture a company's internal dynamics or the true state of its technology. Gain first-hand insight by speaking with former Madison Logic executives.
Ownership & Key Financials
Revenue
Investors
Revenue / FTE
Ownership
FTEs
Key Business Breakdowns
Products & Services
ActivateABM™
•••••••• •• ••••••••••• •••••••• ••• •••••• ••••••• •• ••• •••••• ••••••••• ••••• •••••• •••• •• •••••••• •••••••• •••••••• ••••••••••• •••••••••.
ML Insights
•••••• •••• ••••••••• •••••••• ••• ••• ••••••••• •• •••••••• ••-•••••• •••••••• ••• •••••••••• •••••• •••••• ••••• ••-•••••• •••••• •••••••.
ABM Content Syndication
Content distribution service for marketing teams to promote whitepapers, case studies, and other content to target accounts via a curated network of B•• ••••• ••••••••.
Pricing & Go-to-market
Typical Contract Length
•.• •••••• ••• •••• •••••••••• ••••••••, •••• ••••••••• ••••••••• •••• •• •• •••••• •••••.
Pricing model
Madison Logic has three types of pricing:Cost-per-lead (CPL), applied to content syndication and lead generation services andCost per thousand impress•••• (•••) ••• •••-•••-••••• (•••) •••••••, ••••••• •• ••••••• •••••••••••.
Average Sales Value
Cost-per-Lead (CPL) pricing is c.$65 per lead.Cost per thousand impresssions (CPM) has a minimum of $100.Pilot campaign minimums are typically as low •• $••,•••, •••• •••••• ••••••••• •••••••• ••••••• ••••••• ••••••• ••••••••.
Average Sales Cycle
•-• ••••••.
Growth Review
Customer Overview
Customers include technology companies, financial services, healthcare, retail, and other industries split up into 3 revenue buckets based on the numb•• •• ••••••••• ••• ••• •••• •• ••• •••••••• •••• •• •••••••• ••: •••• ••, ••••••••• ••, ••• ••• ••• ••••••••••• •••••••• •••••••••.
Customer Concentration
•••• •• •••••••• •••••••••• •.••% •• ••••• •••••••.
Customer Retention
•.••%
Key Purchasing Criteria
Purchasing criteria include API integration, good rates, understanding the customer's business, full-funnel marketing pipeline with intent data, effec•••• •••••••, ••••••••• •••••••••, ••••-•••••• ••••••••, ••• •••••••••• •••••••••••.
| Company Name | Revenue | FTE | Proprietary Insights | HQ | Ownership Type |
|---|---|---|---|---|---|
 Madison Logic | $1••m '•• | ••• '•• | - | USA | P•••••••• |
 RollWorks, a division of NextRoll | - | - | - | - | - |
 Bombora | - | - | - | - | - |
 6sense | - | - | - | - | - |
 ZoomInfo | - | - | - | - | - |
 Integrate | - | - | - | - | - |
 pharosIQ | - | - | - | - | - |
Experts highlight Madison Logic's operational execution and market approach, while noting enterprise buying cycles as a potential constraint.
What does Origin provide on Madison Logic?
Origin provides a structured company snapshot of Madison Logic, combining expert-led insights with analysis across business model, customers, competitors, and market dynamics. The profile is designed to support research, competitive analysis, and commercial due diligence workflows.
How is Origin's analysis of Madison Logic different from traditional company databases?
Traditional company databases often focus on surface-level metadata such as ownership, funding, and company descriptions. Origin complements these sources with qualitative insights informed by expert interviews, helping teams understand how Madison Logic operates, competes, and creates value in practice.
Is Origin suitable for researching private companies like Madison Logic?
Yes. Origin is built to support research on private companies, where public information can be limited or inconsistent. It focuses on insight depth and operational context, which can be useful when evaluating companies like Madison Logic for investment, partnership, or competitive analysis.
Where does Origin's information on Madison Logic come from?
Origin insights are derived from expert interviews conducted by Dialectica, combined with structured analysis and secondary validation where appropriate. This approach prioritises first-hand operational perspectives alongside supporting evidence, rather than relying solely on aggregated public data.
Can Origin support commercial due diligence on Madison Logic?
Origin can support early-stage commercial due diligence by helping teams quickly understand positioning, value drivers, customer dynamics, and potential risks related to Madison Logic. It is typically used to shape hypotheses and focus areas before deeper primary research.
How does Origin compare to Crunchbase or PitchBook for analysing Madison Logic?
Crunchbase and PitchBook primarily focus on company metadata, ownership, funding history, and transactions. Origin complements those sources by adding qualitative, insight-led analysis focused on business fundamentals, go-to-market execution, customer reality, and competitive positioning for companies like Madison Logic.
How can Origin support portfolio monitoring or add-on analysis for companies like Madison Logic?
For PE-backed contexts, Origin can support monitoring by surfacing changes in competitive intensity, customer demand signals, and go-to-market effectiveness. It can also inform add-on analysis by clarifying adjacency opportunities and how a target like Madison Logic may fit within a broader platform strategy.
What does Origin typically reveal about pricing and go-to-market strategy for enterprise software companies like Madison Logic?
For enterprise software, Origin often focuses on pricing logic, contract structure, buyer personas, procurement friction, and channel strategy. For companies like Madison Logic, this can help teams assess how revenue is created, what drives expansion, and where sales cycles or retention may impact outcomes.
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