Alternative data platform marketing represents a specialized approach to promoting financial technology platforms that provide non-traditional data sources to institutional investors, asset managers, and financial professionals. This emerging marketing vertical requires deep understanding of sophisticated B2B buyers, regulatory compliance considerations, and the unique value propositions that alternative data brings to investment decision-making processes.
This article explores alternative data platform marketing within the broader context of niche financial vertical marketing strategies, examining how data vendors can effectively reach institutional clients while navigating complex regulatory and competitive landscapes.
Key Summary: Alternative data platform marketing involves promoting specialized data services to institutional financial clients through compliance-aware content strategies, thought leadership, and targeted B2B campaigns that demonstrate quantifiable alpha generation potential.
Key Takeaways:
- Alternative data platforms must market to sophisticated institutional buyers who require detailed ROI documentation and compliance verification
- Content marketing focusing on alpha generation case studies and backtesting results drives most qualified lead generation
- Regulatory compliance considerations vary by data type, requiring tailored marketing approaches for satellite, social media, credit card, and other data categories
- Successful campaigns emphasize data quality, timeliness, and integration capabilities rather than generic technology benefits
- B2B sales cycles typically range 6-18 months, requiring sustained nurture campaigns and multiple stakeholder engagement strategies
- Thought leadership through research publications and conference speaking significantly impacts purchase decisions in this vertical
What Defines Alternative Data in Financial Markets?
Alternative data encompasses any information source outside traditional financial statements, market data feeds, and economic indicators that provides investment insights. These platforms aggregate and analyze satellite imagery, social media sentiment, credit card transactions, web scraping data, geolocation information, and other non-traditional sources to generate investable signals.
The global alternative data market reached approximately $4.2 billion in 2023, with projected compound annual growth rates of 25-30% through 2028, according to industry research. This rapid expansion creates both opportunities and challenges for data platform marketers seeking to differentiate their offerings.
Alternative Data Platform: A technology service that collects, processes, and delivers non-traditional data sources to institutional investors for alpha generation, risk management, or operational insights. SEC guidance on alternative data use
Key characteristics that distinguish alternative data platforms include:
- Data sourcing methodologies and collection frequency capabilities
- Processing algorithms and signal extraction techniques
- API integration and delivery infrastructure specifications
- Historical data availability and backtesting frameworks
- Compliance documentation and audit trail capabilities
Alternative Data Categories and Marketing Implications
Different alternative data categories require distinct marketing approaches based on use cases, regulatory considerations, and buyer sophistication levels. Satellite imagery providers target different decision-makers than social sentiment platforms, requiring specialized positioning strategies.
Satellite and Geospatial Data:
- Primary Use Cases: Commodity supply tracking, retail foot traffic analysis, infrastructure monitoring
- Marketing Focus: Accuracy metrics, coverage areas, update frequencies, historical archives
- Buyer Personas: Quantitative researchers, commodity analysts, real estate investment teams
Social Media and News Sentiment:
- Primary Use Cases: Market sentiment analysis, event-driven investing, brand reputation monitoring
- Marketing Focus: Natural language processing capabilities, real-time processing speeds, bias elimination
- Buyer Personas: Portfolio managers, risk managers, ESG analysts
Transaction and Consumer Behavior Data:
- Primary Use Cases: Revenue estimation, consumer trend analysis, competitive intelligence
- Marketing Focus: Data privacy compliance, sample size representativeness, industry coverage
- Buyer Personas: Equity researchers, sector analysts, fundamental analysts
How Do Institutional Buyers Evaluate Alternative Data Platforms?
Institutional buyers approach alternative data platform selection through rigorous due diligence processes that typically involve multiple stakeholders and evaluation criteria. Understanding these evaluation frameworks enables more effective marketing message development and sales process optimization.
The typical evaluation process spans 6-18 months and involves quantitative researchers, compliance teams, technology staff, and senior portfolio management. Each stakeholder group prioritizes different platform attributes, requiring multi-threaded marketing approaches.
Quantitative Analysis Requirements:
- Historical backtesting results with statistical significance documentation
- Information coefficient calculations and Sharpe ratio improvements
- Factor exposure analysis and correlation studies with existing data sources
- Signal decay analysis and optimal rebalancing frequency recommendations
Operational Due Diligence Criteria:
- Data delivery reliability and uptime guarantees
- API performance specifications and integration requirements
- Historical data availability and point-in-time reconstruction capabilities
- Customer support responsiveness and technical documentation quality
Compliance and Risk Assessment:
- Data sourcing legality and third-party vendor risk assessments
- Privacy regulation compliance documentation (GDPR, CCPA)
- Information security certifications and audit reports
- Business continuity plans and disaster recovery procedures
Building Compelling Value Propositions
Successful alternative data platform marketing articulates clear value propositions that address specific institutional investment challenges rather than generic technology capabilities. Value propositions must include quantifiable benefits supported by empirical evidence.
Alpha Generation Positioning:
- Document historical information ratios and excess returns generated
- Provide sector-specific performance attribution analysis
- Demonstrate signal consistency across different market regimes
- Show correlation benefits versus traditional factor exposures
Risk Management Applications:
- Early warning indicators for earnings surprises or corporate events
- Supply chain disruption detection and impact quantification
- Regulatory or reputational risk monitoring capabilities
- Liquidity and crowding risk assessment tools
What Marketing Channels Work Best for Alternative Data Platforms?
Alternative data platform marketing requires channel strategies tailored to reaching sophisticated institutional buyers who conduct extensive research before engaging with vendors. Traditional digital marketing approaches often prove ineffective due to the specialized nature of the target audience and lengthy sales cycles.
Content marketing and thought leadership consistently generate the highest quality leads, while direct outreach and conference participation drive most actual conversions. Successful platforms typically employ multi-channel approaches that build credibility over time rather than pursuing quick conversion tactics.
Content Marketing and Thought Leadership:
- Research publications demonstrating data insights and investment applications
- Case study documentation with anonymized client results
- Academic partnership publications in peer-reviewed finance journals
- Regular market commentary leveraging proprietary data insights
- Webinar series featuring portfolio manager and analyst guest speakers
Industry Conference and Event Marketing:
- Speaking opportunities at institutional investor conferences
- Sponsored sessions at quantitative finance and alternative data events
- Private client meetings and data demonstrations at major industry gatherings
- User group meetings and client advisory board sessions
Digital and Account-Based Marketing:
- LinkedIn advertising targeting specific institutional investor titles and companies
- Email nurture campaigns with educational content and market insights
- Personalized direct outreach campaigns to quantitative research teams
- SEO-optimized content targeting specific alternative data search queries
Measuring Marketing Effectiveness in Long Sales Cycles
Alternative data platform marketing requires sophisticated attribution models that account for extended sales cycles and multiple touchpoint influences. Traditional marketing metrics often fail to capture the gradual relationship building that drives institutional sales success.
Leading indicators focus on engagement quality rather than volume, with particular attention to research downloads, webinar attendance, and conference meeting requests. Agencies specializing in institutional finance marketing, such as WOLF Financial, typically track engagement progression through defined stages rather than relying solely on conversion metrics.
Early-Stage Engagement Metrics:
- Research report downloads and time spent consuming content
- Webinar attendance and question submission rates
- LinkedIn profile views and connection acceptance rates
- Website session depth and page progression patterns
Mid-Stage Relationship Development:
- Email response rates and meeting request acceptance
- Data trial requests and sample dataset downloads
- Conference meeting scheduling and follow-up engagement
- Referral introductions within target organizations
Late-Stage Conversion Indicators:
- Due diligence documentation requests and compliance calls
- Technical integration discussions and API testing
- Procurement and legal team involvement
- Pilot program negotiations and trial expansions
How Should Alternative Data Platforms Approach Compliance Marketing?
Compliance considerations significantly impact alternative data platform marketing strategies, particularly regarding data sourcing transparency, privacy regulations, and fiduciary responsibility documentation. Marketing materials must balance competitive differentiation with regulatory disclosure requirements.
Institutional buyers increasingly scrutinize data collection methodologies and third-party vendor risk profiles as part of their due diligence processes. Platforms that proactively address compliance concerns through transparent marketing communications often gain competitive advantages in procurement processes.
Alternative Data Compliance: The regulatory and legal framework governing how financial institutions can acquire, use, and rely upon non-traditional data sources for investment decisions, including privacy, sourcing, and fiduciary considerations. FINRA fintech guidance
Data Sourcing Transparency Requirements:
- Clear documentation of data collection methodologies and legal frameworks
- Third-party data provider agreements and vendor risk assessments
- Privacy regulation compliance certifications and audit documentation
- Data retention policies and deletion procedures
Investment Suitability Documentation:
- Historical performance analysis with appropriate risk warnings
- Use case limitations and recommended application guidelines
- Integration recommendations with existing investment processes
- Ongoing monitoring and validation best practices
Managing Regulatory Communication Challenges
Alternative data platforms must navigate complex regulatory communication requirements that vary by data type, client jurisdiction, and intended use cases. Marketing materials require legal review to ensure compliance while maintaining competitive positioning effectiveness.
Successful platforms develop standardized compliance documentation that addresses common due diligence requirements while allowing customization for specific client needs. This approach reduces sales cycle friction while ensuring consistent regulatory messaging.
Documentation Standardization Strategies:
- Comprehensive vendor questionnaire responses covering standard due diligence topics
- Third-party audit reports and certification documentation
- Legal opinion letters regarding data sourcing and usage rights
- Information security and business continuity documentation
What Role Does Thought Leadership Play in Alternative Data Marketing?
Thought leadership serves as the primary differentiation strategy for alternative data platforms, given the sophisticated nature of institutional buyers and the technical complexity of data products. Platforms that consistently produce high-quality research and market insights build credibility that directly impacts sales success.
Institutional investors view alternative data providers as potential research partners rather than simple vendors, creating opportunities for collaborative thought leadership that strengthens client relationships. The most successful platforms maintain active research teams that publish regular market insights leveraging their proprietary datasets.
Research Publication Strategies:
- Regular market commentary incorporating proprietary data insights
- Academic collaborations with finance professors and graduate students
- Conference presentation development and speaking opportunity pursuit
- Client collaboration on anonymized case study development
Content Distribution and Amplification:
- Industry publication guest articles and expert commentary
- Podcast appearances on institutional investor and fintech programs
- LinkedIn article publishing and professional network engagement
- Email newsletter distribution to qualified prospect lists
Building Industry Recognition and Authority
Industry recognition through awards, rankings, and peer acknowledgment significantly influences alternative data platform selection decisions. Institutional buyers often reference industry recognition as validation during internal procurement justifications.
Platforms should actively pursue industry recognition opportunities while maintaining authenticity and avoiding over-promotion. Agencies experienced in institutional finance marketing understand that credibility building requires consistent long-term effort rather than short-term promotional tactics.
Industry Recognition Strategies:
- Industry award submissions with detailed use case documentation
- Client reference development for industry publication features
- Speaking bureau enrollment for conference and event opportunities
- Advisory board participation with industry organizations
How Do You Develop Effective Sales Enablement for Alternative Data Platforms?
Sales enablement for alternative data platforms requires sophisticated materials that address technical, commercial, and compliance considerations simultaneously. Sales teams need resources that can engage quantitative researchers, compliance officers, and senior investment professionals with equal effectiveness.
Successful enablement programs provide sales teams with customizable presentations, technical demonstrations, and compliance documentation that can be adapted for different prospect situations. The complexity of institutional sales processes requires extensive preparation and stakeholder-specific messaging.
Technical Sales Materials:
- Data sample demonstrations with realistic use case scenarios
- API documentation and integration timeline estimates
- Historical performance backtesting results with statistical significance testing
- Competitive comparison matrices focusing on technical capabilities
Commercial Value Documentation:
- ROI calculators incorporating typical institutional fee structures
- Implementation cost estimates including technology and personnel requirements
- Ongoing operational cost analysis and total cost of ownership models
- Contract term flexibility and pricing structure explanations
Compliance and Risk Materials:
- Vendor risk assessment questionnaire responses with supporting documentation
- Third-party audit reports and certification credentials
- Business continuity and disaster recovery plan summaries
- Data privacy and security compliance attestations
Training Sales Teams for Complex B2B Cycles
Alternative data platform sales teams require extensive training on both technical product capabilities and institutional buyer dynamics. Successful teams understand quantitative investment processes, regulatory requirements, and organizational decision-making structures within target institutions.
Training programs should emphasize consultative selling approaches that position sales professionals as subject matter experts rather than traditional vendor representatives. This approach aligns with institutional buyer expectations and supports longer-term relationship development.
Core Training Components:
- Quantitative investment process education and terminology
- Regulatory framework understanding for different data types and use cases
- Competitive landscape analysis and differentiation messaging
- Stakeholder mapping and multi-threaded sales approach techniques
What Pricing and Packaging Strategies Work for Alternative Data Platforms?
Pricing strategies for alternative data platforms must balance value-based pricing with institutional budget constraints and procurement processes. Most successful platforms employ tiered pricing models that accommodate different use cases and organizational sizes while encouraging expansion over time.
Institutional buyers typically prefer predictable pricing structures that can be budgeted annually, creating opportunities for subscription-based models with usage-based premium tiers. Pricing complexity should be minimized to facilitate procurement approval processes.
Common Pricing Model Approaches:
- Enterprise licensing with unlimited users and data access
- Per-seat licensing with defined user roles and permissions
- Data volume-based pricing with tiered usage allowances
- Hybrid models combining base subscription fees with usage overages
Packaging Strategy Considerations:
- Starter packages for pilot programs and proof-of-concept projects
- Professional tiers with enhanced support and consulting services
- Enterprise packages including custom development and integration support
- Academic pricing for research institutions and educational use cases
Communicating Value Versus Cost
Alternative data platforms must clearly articulate value propositions that justify premium pricing compared to traditional data sources. Value communication should focus on alpha generation potential, risk mitigation capabilities, and operational efficiency improvements rather than generic technology benefits.
Successful platforms develop ROI frameworks that help prospects quantify potential benefits in their specific investment contexts. These frameworks should account for implementation costs, learning curves, and integration requirements to provide realistic value expectations.
Value Communication Strategies:
- Alpha generation case studies with risk-adjusted return calculations
- Cost-benefit analysis templates for internal prospect use
- Competitive total cost of ownership comparisons
- Implementation success metrics and timeline expectations
How Can Alternative Data Platforms Build Strategic Partnerships?
Strategic partnerships enable alternative data platforms to access new distribution channels, enhance product capabilities, and build market credibility through association with established brands. Partnership strategies should focus on complementary rather than competitive relationships that create mutual value.
Successful partnerships typically involve technology integrations, joint go-to-market initiatives, or content collaboration that provides tangible benefits to both organizations. Partnership marketing requires careful coordination to ensure consistent messaging and avoid channel conflicts.
Technology Integration Partnerships:
- Portfolio management system integrations and certified connectors
- Risk management platform data feeds and API connections
- Research management system partnerships and workflow integrations
- Cloud infrastructure partnerships for scalable data delivery
Distribution and Channel Partnerships:
- Financial technology consultancy partnerships for client introductions
- Prime brokerage relationships for data service offerings
- Custodian partnerships for integrated service delivery
- Financial data aggregator relationships for broader market access
Content and Research Collaborations:
- Academic research partnerships with finance departments
- Industry publication collaboration on market analysis
- Conference co-sponsorship and joint speaking opportunities
- Client webinar series and educational content development
Managing Partnership Marketing Communications
Partnership marketing requires coordinated communication strategies that leverage partner relationships without creating dependency perceptions or competitive concerns. Successful platforms maintain independent brand identity while highlighting strategic relationships appropriately.
Joint marketing initiatives should provide clear value to target audiences rather than serving primarily partnership promotional purposes. The most effective partnership communications focus on client benefits and use case applications rather than corporate relationship announcements.
Partnership Communication Best Practices:
- Joint case study development with anonymized client success stories
- Co-branded educational content focusing on industry trends and insights
- Coordinated conference participation and speaking opportunity sharing
- Cross-promotional content distribution through partner networks
Frequently Asked Questions
Basics
1. What qualifies as alternative data in financial markets?
Alternative data includes any information source outside traditional financial statements, earnings reports, and market data that can provide investment insights. This encompasses satellite imagery, social media sentiment, credit card transactions, web traffic data, geolocation information, and other non-conventional sources that help predict company performance or market movements.
2. How large is the alternative data market?
The global alternative data market reached approximately $4.2 billion in 2023, with projected compound annual growth rates of 25-30% through 2028. The rapid growth reflects increasing institutional adoption and expanding data source availability, creating significant opportunities for specialized marketing approaches.
3. Who are the primary buyers of alternative data platforms?
Primary buyers include hedge funds, asset managers, pension funds, sovereign wealth funds, family offices, and institutional investment firms. Within these organizations, quantitative researchers, portfolio managers, risk officers, and senior analysts typically lead purchasing decisions, requiring multi-stakeholder marketing approaches.
4. What makes alternative data platform marketing different from other B2B software marketing?
Alternative data marketing requires deeper technical expertise, longer sales cycles (6-18 months), extensive compliance documentation, and sophisticated ROI demonstrations. Buyers conduct rigorous due diligence including backtesting, statistical analysis, and regulatory compliance reviews before making purchase decisions.
5. How much do alternative data platforms typically cost?
Pricing varies significantly by data type, coverage, and usage requirements, typically ranging from $50,000 to $500,000+ annually for institutional licenses. Factors influencing cost include data uniqueness, processing complexity, delivery frequency, historical availability, and support requirements.
How-To
6. How do you identify qualified prospects for alternative data platforms?
Qualified prospects typically include quantitative investment firms with assets under management exceeding $500 million, active trading strategies, and dedicated research teams. Look for organizations hiring quantitative researchers, attending alternative data conferences, or publishing research on systematic investment approaches.
7. What content marketing strategies work best for alternative data platforms?
Research publications demonstrating data insights, case studies with backtesting results, academic collaborations, and regular market commentary generate the highest quality leads. Webinar series featuring client success stories and technical demonstrations also prove highly effective for lead generation and nurturing.
8. How do you measure marketing ROI for alternative data platforms?
Focus on engagement quality metrics rather than volume, including research download rates, webinar attendance, meeting requests, trial sign-ups, and sales cycle progression. Long sales cycles require leading indicator tracking and attribution models that account for multiple touchpoints over extended periods.
9. What compliance documentation should alternative data platforms prepare for marketing?
Essential documentation includes data sourcing methodology explanations, privacy regulation compliance certifications, third-party vendor risk assessments, information security audits, business continuity plans, and legal opinions regarding data usage rights and restrictions.
10. How do you build thought leadership in the alternative data space?
Publish regular research leveraging proprietary data insights, collaborate with academic institutions on finance research, speak at industry conferences, contribute to financial publications, and maintain active LinkedIn presence with educational content. Consistency and technical depth matter more than promotional frequency.
Comparison
11. How does alternative data marketing compare to traditional financial software marketing?
Alternative data marketing requires more technical expertise, longer relationship building, extensive compliance considerations, and sophisticated value demonstration through backtesting and statistical analysis. Traditional software marketing can rely more heavily on feature demonstrations and shorter trial periods.
12. What's the difference between marketing to buy-side versus sell-side institutions?
Buy-side marketing focuses on alpha generation, portfolio optimization, and risk management applications with emphasis on performance attribution and factor analysis. Sell-side marketing emphasizes client research enhancement, market making capabilities, and revenue generation opportunities through improved trading insights.
13. How do enterprise versus boutique investment firm marketing approaches differ?
Enterprise firms require extensive compliance documentation, procurement process navigation, and multiple stakeholder engagement across research, technology, and compliance teams. Boutique firms typically have streamlined decision processes but may have budget constraints requiring different pricing and packaging approaches.
14. What's the difference between marketing real-time versus historical alternative data?
Real-time data marketing emphasizes speed advantages, competitive information access, and immediate alpha capture opportunities. Historical data marketing focuses on backtesting capabilities, research applications, and strategy development support with less emphasis on delivery latency.
Troubleshooting
15. How do you address prospects concerned about data quality and reliability?
Provide detailed data collection methodologies, quality control procedures, historical accuracy metrics, and third-party validation reports. Offer trial periods with specific data samples and encourage independent validation testing. Include client references who can speak to reliability experiences.
16. What should you do when prospects request extensive customization during evaluations?
Balance customization requests with standardized offerings by clearly defining included services versus additional consulting fees. Provide customization estimates and timelines upfront, and consider pilot programs that demonstrate value before committing to extensive modifications.
17. How do you handle competitive situations with established data providers?
Focus on differentiated value propositions rather than direct feature comparisons. Emphasize unique data sources, superior processing capabilities, better integration options, or enhanced support services. Provide side-by-side backtesting results when possible to demonstrate performance advantages.
18. What do you do when prospects have unrealistic ROI expectations?
Provide realistic performance examples with appropriate risk warnings and statistical significance documentation. Educate prospects on typical implementation timelines, learning curves, and performance attribution challenges. Use conservative estimates and focus on risk-adjusted returns rather than absolute performance claims.
Advanced
19. How do you market alternative data to quantitative hedge funds versus traditional long-only managers?
Quantitative hedge funds require detailed signal analysis, factor exposure documentation, and capacity constraints discussion. Traditional managers need use case education, fundamental analysis integration examples, and portfolio construction applications with emphasis on risk management benefits.
20. What regulatory considerations affect alternative data marketing in different jurisdictions?
European markets require GDPR compliance documentation and data sourcing transparency. Asian markets may have local data residency requirements and sourcing restrictions. US markets focus on fiduciary responsibility and insider information concerns. Tailor compliance messaging accordingly.
21. How do you position alternative data platforms during market volatility periods?
Emphasize risk management applications, early warning capabilities, and defensive use cases during volatile periods. Provide historical performance analysis during different market regimes and stress testing results. Focus on downside protection rather than alpha generation during uncertain times.
Compliance/Risk
22. What are the main regulatory risks in alternative data marketing?
Primary risks include privacy regulation violations, insider information concerns, data sourcing legality questions, and fiduciary responsibility compliance. Marketing materials must include appropriate disclaimers and avoid performance guarantees while providing necessary risk warnings and limitations.
23. How do you ensure marketing claims about data performance are compliant?
Include statistical significance testing, appropriate time periods, risk warnings, and disclaimers about past performance not indicating future results. Provide methodology explanations and avoid cherry-picked results or survivorship bias. Consider third-party validation for performance claims.
24. What due diligence should alternative data platforms expect from institutional buyers?
Expect comprehensive vendor risk assessments, data sourcing legal reviews, information security audits, business continuity evaluations, and financial stability analysis. Prepare standardized documentation packages and legal opinions to streamline due diligence processes and reduce sales cycle friction.
Conclusion
Alternative data platform marketing requires sophisticated strategies that address the unique challenges of selling complex data products to institutional financial buyers. Success depends on demonstrating quantifiable value through rigorous backtesting, maintaining transparent compliance documentation, and building long-term credibility through consistent thought leadership and technical expertise.
When evaluating alternative data marketing approaches, consider the extended sales cycles, multiple stakeholder requirements, and regulatory complexity that characterize this specialized vertical. Focus on educational content that addresses technical questions, compliance documentation that streamlines due diligence, and relationship-building activities that establish trust with sophisticated buyers over time.
For alternative data platforms seeking to build brand awareness and drive qualified lead generation through compliant content marketing and strategic partnerships, explore WOLF Financial's specialized B2B marketing services for institutional finance clients.
References
- Securities and Exchange Commission. "Investment Adviser Use of Alternative Data." SEC Staff Bulletin. https://www.sec.gov/files/investment-adviser-use-of-alternative-data.pdf
- Financial Industry Regulatory Authority. "Fintech and Alternative Data Guidance." FINRA Regulatory Notices. https://www.finra.org/rules-guidance/key-topics/fintech
- Alternative Investment Management Association. "Alternative Data in Investment Management: The New Paradigm." AIMA Research Report, 2023.
- Greenwich Associates. "Institutional Use of Alternative Data." Market Structure Research, 2023.
- Coalition Greenwich. "Alternative Data Market Size and Growth Projections." Industry Analysis, 2024.
- CFA Institute. "Alternative Data for Investment Professionals." Professional Learning Standards, 2023.
- Harvard Business Review. "The Rise of Alternative Data in Finance." Technology and Analytics Section, 2023.
- JPMorgan Alternative Investment Analytics. "Alternative Data Implementation Guide." Institutional Research, 2023.
- Morgan Stanley Research. "Alternative Data Market Analysis and Trends." Quantitative Research Division, 2024.
- Bloomberg Intelligence. "Alternative Data Platform Market Structure." Financial Technology Research, 2023.
Important Disclaimers
Disclaimer: Educational information only. Not financial, legal, medical, or tax advice.
Risk Warnings: All investments carry risk, including loss of principal. Past performance is not indicative of future results.
Conflicts of Interest: This article may contain affiliate links; see our disclosures.
Publication Information: Published: 2025-01-01 · Last updated: 2025-01-01T00:00:00Z
About the Author
Author: Gav Blaxberg, Founder, WOLF Financial
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