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tvScientific

MarketingWebsiteResearched Apr 7, 2026

The Takeaway

tvScientific's moat is risk-sharing — by absorbing media spend risk through CPA pricing, it aligns incentives with performance-obsessed D2C brands who've exhausted cheaper channels.

Company Research

tvScientific is a connected TV advertising platform that makes TV advertising accessible and measurable for brands and apps of all sizes through AI optimization and performance-driven campaigns [2]

Founded: Founded in 2016 [3]
Founders: Not publicly disclosed [1]
Employees: 51-200 employees [1]
Headquarters: New York, United States [1]
Funding/Valuation: Acquired by Pinterest in February 2024 for an undisclosed amount [5]
Mission: To power Performance TV advertising that drives sales through AI optimization, measurement, and provable outcomes [6]
The company's strengths rely on the combination of AI-driven optimization technology, transparent performance measurement, and CPA-based risk-sharing models. [7]
AI Optimization: Campaigns automatically learn and adapt in real time with sophisticated technology that improves ROAS by as much as 50% [7]
Performance Transparency: Delivers radical transparency in reporting with clear attribution and ROI measurement, giving marketers full confidence in campaign performance [18]
Risk-Sharing Model: Only CTV platform offering advertising on a pure CPA model, taking on media risk to prove effectiveness [15]

Business Model Analysis

🚨Problem

Traditional TV advertising lacks measurability and accessibility for performance-driven marketers [2]
• TV advertising has historically been difficult to measure and attribute to actual business outcomes [16]
• Connected TV advertising requires sophisticated technology and expertise that many brands lack internally [7]
• Performance marketers struggle to prove TV's impact within their broader media mix [18]
• Traditional TV buying lacks the transparency and control that digital marketers expect [11]

💡Solution

AI-powered connected TV platform that automates buying, optimization, and measurement for performance marketers [16]
• Self-serve platform combines integrated media buying and measurement with full campaign control [7]
• AI optimization technology that automatically learns and adapts campaigns in real time [18]
• Advanced audience targeting using 1st and 3rd party data, including 150M credit card user transactions [14]
• Transparent reporting with clear attribution and ROI measurement [18]

Unique Value Proposition

The first and only CTV platform purpose-built for serious performance marketers with guaranteed outcomes [16]
• Only CTV platform offering advertising on a pure CPA model, taking on media risk [15]
• AI optimization improves ROAS by as much as 50% compared to traditional approaches [7]
• Radical transparency in reporting with full attribution confidence [18]
• Advanced audience capabilities leveraging 150M credit card transactions for competitive targeting [14]

👥Customer Segments

Performance-driven brands and apps of all sizes seeking measurable TV advertising outcomes [2]
• Direct-to-consumer brands looking to scale beyond digital channels [13]
• Mobile app companies seeking user acquisition through connected TV [16]
• E-commerce brands requiring attribution and measurable ROI [13]
• Regional businesses and organizations like The Y in Central Maryland targeting local communities [13]
• Australian-born brands expanding into the U.S. market [13]

🏢Existing Alternatives

Competes with major programmatic TV and DSP platforms in the connected TV advertising space [10]
• The Trade Desk - leading programmatic advertising platform with broad reach [11]
• Samsung DSP - enterprise-focused connected TV advertising platform [12]
• MNTN - performance TV advertising platform targeting SMB market [12]
• Vibe - self-serve CTV platform for enterprise brands [12]
• Traditional TV networks and cable advertising [6]

📊Key Metrics

Focuses on performance metrics including ROAS improvement and customer acquisition costs [7]
• ROAS improvement of up to 50% through AI optimization [7]
• Access to 150M credit card user transactions for audience targeting [14]
• Campaign performance measured through transparent attribution and ROI reporting [18]
• Customer acquisition and retention metrics through CPA model [15]

🎯High-Level Product Concepts

Self-serve platform with integrated media buying, AI optimization, and measurement capabilities [7]
• Connected TV advertising platform with automated buying and optimization [6]
• Advanced audience targeting using first-party and third-party data [17]
• Real-time campaign optimization and learning algorithms [18]
• Comprehensive measurement and attribution reporting [7]
• Customer and prospect data activation for targeting and retargeting [17]

📢Channels

Direct sales, self-serve platform, and technology partnerships drive customer acquisition [15]
• Self-serve platform for direct customer onboarding [7]
• Technology partnerships with affiliate networks like Awin [15]
• Content marketing through insights and educational resources [8]
• Case studies and customer success stories [13]
• Industry positioning as Trade Desk alternative [11]

🚀Early Adopters

Performance marketers seeking measurable TV advertising with guaranteed outcomes [16]
• Direct-to-consumer brands requiring attribution and ROI measurement [13]
• Mobile app companies looking for user acquisition beyond traditional digital channels [16]
• Marketers frustrated with traditional TV's lack of measurability [18]
• Brands willing to work with CPA-based pricing models [15]

💰Fees

Offers unique CPA-based pricing model alongside traditional media buying fees [15]
• Pure CPA (Cost Per Acquisition) model where tvScientific takes on media risk [15]
• Self-serve platform pricing structure [7]
• Traditional media buying fees for standard campaigns [7]
• No disclosed specific pricing tiers publicly available [6]

💵Revenue

Revenue generated through media buying fees and performance-based CPA pricing [15]
• Media buying platform fees from advertiser spend [7]
• Performance-based revenue through CPA model arrangements [15]
• Technology platform subscription or usage fees [7]
• Acquired by Pinterest in February 2024, contributing to Pinterest's Q1 revenue forecast [5]

📅History

Founded in 2016 and acquired by Pinterest in 2024 after establishing CTV leadership [3]
• 2016: Company founded to address TV advertising measurability challenges [3]
• 2019-2021: Developed AI optimization technology and self-serve platform [7]
• 2022: Launched CPA-based pricing model as industry first [15]
• 2023: Expanded customer base across multiple verticals [13]
• February 2024: Acquired by Pinterest to enhance their connected TV advertising capabilities [5]
• 2024: Integration with Pinterest's advertising ecosystem begins [5]

🤝Recent Big Deals

Acquired by Pinterest in February 2024 to strengthen Pinterest's connected TV advertising offerings [5]
• Pinterest acquired tvScientific in February 2024 for undisclosed amount [5]
• Acquisition led Pinterest to raise Q1 2024 revenue forecast due to partial-quarter contribution [5]
• Integration expected to enhance Pinterest's advertising platform with CTV capabilities [5]
• Partnership with Awin for affiliate marketing technology integration [15]

ℹ️Other Important Factors

Operating in rapidly growing connected TV advertising market with increasing cord-cutting trends [8]
• Connected TV market benefits from shift from traditional cable to streaming services [8]
• AVOD platforms like Hulu and Peacock integrate advertisements, creating inventory opportunities [8]
• Positioned in SMB CTV market segment alongside Vibe and MNTN [12]
• Focus on transparency and performance measurement addresses industry trust issues [11]

References

  1. [1] tvScientific - 2025 Company Profile, Team, Funding & Competitors - Tracxnhttps://tracxn.com/d/companies/tvscientific/__QsMXKdIBXQ7vFy7eZ3KgKPbT2cH3yAiCXYZgdsB9iQI
  2. [2] tvScientific - Crunchbase Company Profile & Fundinghttps://www.crunchbase.com/organization/tvscientific
  3. [3] tvScientific 2026 Company Profile: Valuation, Funding & Investors | PitchBookhttps://pitchbook.com/profiles/company/462393-55
  4. [4] tvScientific Stock Price, Funding, Valuation, Revenue & Financial Statementshttps://www.cbinsights.com/company/tvscientific/financials
  5. [5] tvScientific - Products, Competitors, Financials, Employees, Headquarters Locationshttps://www.cbinsights.com/company/tvscientific
  6. [6] tvScientific: TV Advertising That Drives Saleshttps://www.tvscientific.com
  7. [7] Connected TV Platform | tvScientifichttps://www.tvscientific.com/connected-tv-platform
  8. [8] Connected TV Advertising | tvScientifichttps://www.tvscientific.com/insight/connected-tv-advertising
  9. [9] Connected TV Advertising Platform | tvScientific Platformhttps://www.tvscientific.com/tvscientific-platform
  10. [10] 7 Best The Trade Desk Competitors For Advertisinghttps://www.vibe.co/blog/how-to/trade-desk-competitors
  11. [11] The Trade Desk vs. tvScientific: Who’s leading the way in Performance TV optimization?https://www.tvscientific.com/insight/the-trade-desk-alternative
  12. [12] r/advertising on Reddit: Vibe vs Samsung DSP vs The Trade Desk: which self-serve CTV platforms are capable of serving enterprise brands?https://www.reddit.com/r/advertising/comments/1rdishx/vibe_vs_samsung_dsp_vs_the_trade_desk_which/
  13. [13] Customer Case Studies | tvScientifichttps://www.tvscientific.com/customers
  14. [14] What makes tvScientific different?https://www.tvscientific.com/insight/what-makes-tvscientific-different
  15. [15] tvScientific affiliate technology spotlight | Awinhttps://www.awin.com/us/publishers/case-studies/technology-partner-spotlight-tvscientific
  16. [16] tvScientific B2B Case Studies & Customer Successeshttps://www.casestudies.com/company/tvscientific
  17. [17] Audience Targeting | Premium TV Advertising with tvScientifichttps://www.tvscientific.com/targeting
  18. [18] tvScientific Reviews 2025: Details, Pricing, & Features | G2https://www.g2.com/products/tvscientific/reviews
  19. [19] How to Measure Customer Satisfaction (+Key Metrics to Track)https://learn.g2.com/measuring-customer-satisfaction
  20. [20] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studieshttps://www.featuredcustomers.com/vendor/tvscientific

ICP Analysis

Ideal Customer Profile (ICP)

tvScientific's ideal customer is a performance-driven D2C brand with $10M-$100M annual revenue that has exhausted traditional digital channels and seeks measurable TV advertising outcomes. These data-obsessed marketers operate e-commerce or subscription businesses with established attribution systems and customer acquisition funnels.

They value transparent reporting and are willing to experiment with CPA-based models where tvScientific shares media risk. The ideal customer has dedicated performance marketing teams experienced with programmatic advertising who can leverage AI optimization technology to achieve 50% ROAS improvements while proving TV's impact within their broader media mix.

ICP Identification Framework

Q1Which of our current customers makes the most out of our products and services? Who uses it the most? Who are your best users?

Best customers are performance-driven direct-to-consumer brands and mobile app companies seeking measurable TV advertising outcomes [13] [16]. They typically operate e-commerce businesses or subscription services requiring clear attribution and ROI measurement [13]. These customers actively leverage the AI optimization technology and CPA-based pricing model to prove TV's impact within their broader media mix [15] [18].

Q2What traits do those great customers have in common?

Common traits include data-driven marketing approaches with focus on performance metrics and attribution [16] [18]. They operate digital-first businesses that understand programmatic advertising and value transparent reporting [18]. These customers typically have established customer acquisition funnels and are willing to experiment with CPA-based risk-sharing models [15]. Most are scaling brands moving beyond traditional digital channels to reach broader audiences [13].

Q3Why do some people decide not to buy or stop using our product?

Primary barriers include traditional mindset toward TV advertising and preference for established platforms like The Trade Desk [11]. Some prospects are hesitant about the CPA model's risk-sharing approach or lack internal expertise for connected TV campaigns [15] [7]. Enterprise brands may prefer Samsung DSP or other established enterprise-focused platforms over SMB-positioned solutions [12]. Additionally, some advertisers require offline capabilities not available in cloud-based platforms [7].

Q4Who is easiest to sell more to, and why?

Easiest expansion comes from existing D2C brands adding more campaigns and mobile app companies scaling user acquisition efforts [13] [16]. These customers already understand the AI optimization value and transparent attribution benefits [18]. Growing e-commerce brands naturally expand spend as they scale, while customers using CPA models often increase budgets based on proven performance [15]. Success breeds expansion through measurable ROAS improvements of up to 50% [7].

Q5What do our competitors' best customers have in common?

Competitor customers often prefer enterprise-scale solutions with The Trade Desk serving large agencies and brands [11]. Samsung DSP customers typically need enterprise-grade support and established vendor relationships [12]. Many competitor customers prioritize broad programmatic reach over specialized CTV performance optimization [10]. Opportunity exists with performance marketers frustrated by lack of transparency and attribution in traditional platforms, seeking outcome-driven alternatives [11] [18].

Target Segmentation

🥇 Primary
Segment: Performance-Driven D2C Brands
Industry: E-commerce, Consumer Goods, Subscription Services
Company Size: $10M-$100M annual revenue, 50-500 employees
Key Characteristics:
Data-driven attribution focus: Brands requiring measurable ROI and clear attribution across all marketing channels
Digital advertising expertise: Teams experienced with programmatic platforms and performance marketing
Scaling customer acquisition: Companies expanding beyond Facebook/Google seeking new growth channels
Rationale:

Highest revenue potential with proven willingness to adopt CPA models and AI optimization technology.

🥈 Secondary
Segment: Mobile App Companies
Industry: Mobile Apps, Gaming, SaaS
Company Size: $5M-$50M annual revenue, 25-200 employees
Key Characteristics:
User acquisition focus: Apps requiring cost-effective user acquisition and retention campaigns
Performance metrics expertise: Teams tracking LTV, CAC, and other mobile-specific KPIs
Cross-platform advertising: Companies already using multiple acquisition channels beyond app stores
Rationale:

Strong growth potential with natural fit for performance-based TV advertising models.

🥉 Tertiary
Segment: Regional Service Businesses
Industry: Healthcare, Fitness, Professional Services
Company Size: $2M-$20M annual revenue, 10-100 employees
Key Characteristics:
Local market targeting: Organizations serving specific geographic regions or communities
Membership/acquisition focus: Businesses needing to reach targeted local audiences for growth
Limited TV advertising experience: Companies new to connected TV but seeking measurable local advertising
Rationale:

Future opportunity as CTV adoption grows among local businesses seeking measurable outcomes.

Target Personas

Persona 1: Sarah, The Scale-Up Performance Marketing Director

Segment: 🥇 Primary

Demographics
👤 Age: 28-35
🎓 Education Degree: Bachelor's in Marketing or MBA
📍 Location: Major metropolitan areas (NYC, LA, Austin, Seattle)
💼 Job Title/Role: Performance Marketing Director or VP of Growth
🏢 Industry: E-commerce and D2C Consumer Brands
👥 Company Size: $25M-$75M revenue, 100-300 employees
⏱️ Years of Experience: 5-10 years in performance marketing
💭 Motivation

Sarah needs to diversify customer acquisition channels beyond saturated Facebook and Google platforms. She's frustrated by rising digital ad costs and attribution challenges. Her company demands measurable ROI from every marketing dollar.

🎯 Goals
  • Reduce customer acquisition costs by 30% through new channels
  • Achieve 4:1 ROAS on TV advertising campaigns within 6 months
  • Build comprehensive attribution model including TV impact
😤 Pain Points
  • Facebook and Google CPCs increasing 40% year-over-year
  • Cannot prove TV advertising ROI to executive team
  • Traditional TV agencies lack transparency and performance focus

Persona 2: Marcus, The Mobile App Growth Manager

Segment: 🥈 Secondary

Demographics
👤 Age: 26-32
🎓 Education Degree: Bachelor's in Computer Science or Marketing
📍 Location: Tech hubs (San Francisco, Seattle, Austin, Boston)
💼 Job Title/Role: User Acquisition Manager or Head of Growth
🏢 Industry: Mobile Apps, Gaming, Fintech
👥 Company Size: $10M-$40M revenue, 50-150 employees
⏱️ Years of Experience: 3-8 years in mobile marketing
💭 Motivation

Marcus must scale user acquisition beyond app store optimization and social media. He's pressured to reduce blended CAC while maintaining user quality. Connected TV offers untapped reach for mobile app discovery.

🎯 Goals
  • Acquire 50,000 high-quality users through CTV campaigns
  • Decrease blended CAC by 25% across all channels
  • Improve Day-30 retention rates for TV-acquired users
😤 Pain Points
  • App store ads becoming increasingly competitive and expensive
  • Difficulty measuring TV impact on app installs and LTV
  • Limited experience with traditional TV advertising buying

Persona 3: Jennifer, The Regional Healthcare Marketing Manager

Segment: 🥉 Tertiary

Demographics
👤 Age: 32-45
🎓 Education Degree: Bachelor's in Marketing or Healthcare Administration
📍 Location: Mid-size metropolitan areas and suburbs
💼 Job Title/Role: Marketing Manager or Director of Business Development
🏢 Industry: Healthcare Systems, Fitness Centers, Professional Services
👥 Company Size: $5M-$15M revenue, 25-75 employees
⏱️ Years of Experience: 5-15 years in local marketing
💭 Motivation

Jennifer needs measurable local advertising to compete with national chains and online services. She's frustrated by traditional TV's lack of accountability and targeting precision. Community-focused messaging requires sophisticated local targeting capabilities.

🎯 Goals
  • Increase new patient/member acquisition by 40% in target zip codes
  • Track advertising ROI with clear attribution to new customers
  • Compete effectively against national chains in local market
😤 Pain Points
  • Local TV stations cannot provide detailed performance metrics
  • Digital ads getting lost among national competitors
  • Budget constraints require proven ROI before increasing spend

References

  1. [1] tvScientific - 2025 Company Profile, Team, Funding & Competitors - Tracxnhttps://tracxn.com/d/companies/tvscientific/__QsMXKdIBXQ7vFy7eZ3KgKPbT2cH3yAiCXYZgdsB9iQI
  2. [2] tvScientific - Crunchbase Company Profile & Fundinghttps://www.crunchbase.com/organization/tvscientific
  3. [3] tvScientific 2026 Company Profile: Valuation, Funding & Investors | PitchBookhttps://pitchbook.com/profiles/company/462393-55
  4. [4] tvScientific Stock Price, Funding, Valuation, Revenue & Financial Statementshttps://www.cbinsights.com/company/tvscientific/financials
  5. [5] tvScientific - Products, Competitors, Financials, Employees, Headquarters Locationshttps://www.cbinsights.com/company/tvscientific
  6. [6] tvScientific: TV Advertising That Drives Saleshttps://www.tvscientific.com
  7. [7] Connected TV Platform | tvScientifichttps://www.tvscientific.com/connected-tv-platform
  8. [8] Connected TV Advertising | tvScientifichttps://www.tvscientific.com/insight/connected-tv-advertising
  9. [9] Connected TV Advertising Platform | tvScientific Platformhttps://www.tvscientific.com/tvscientific-platform
  10. [10] 7 Best The Trade Desk Competitors For Advertisinghttps://www.vibe.co/blog/how-to/trade-desk-competitors
  11. [11] The Trade Desk vs. tvScientific: Who's leading the way in Performance TV optimization?https://www.tvscientific.com/insight/the-trade-desk-alternative
  12. [12] r/advertising on Reddit: Vibe vs Samsung DSP vs The Trade Desk: which self-serve CTV platforms are capable of serving enterprise brands?https://www.reddit.com/r/advertising/comments/1rdishx/vibe_vs_samsung_dsp_vs_the_trade_desk_which/
  13. [13] Customer Case Studies | tvScientifichttps://www.tvscientific.com/customers
  14. [14] What makes tvScientific different?https://www.tvscientific.com/insight/what-makes-tvscientific-different
  15. [15] tvScientific affiliate technology spotlight | Awinhttps://www.awin.com/us/publishers/case-studies/technology-partner-spotlight-tvscientific
  16. [16] tvScientific B2B Case Studies & Customer Successeshttps://www.casestudies.com/company/tvscientific
  17. [17] Audience Targeting | Premium TV Advertising with tvScientifichttps://www.tvscientific.com/targeting
  18. [18] tvScientific Reviews 2025: Details, Pricing, & Features | G2https://www.g2.com/products/tvscientific/reviews
  19. [19] How to Measure Customer Satisfaction (+Key Metrics to Track)https://learn.g2.com/measuring-customer-satisfaction
  20. [20] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studieshttps://www.featuredcustomers.com/vendor/tvscientific

Positioning & Messaging

Positioning Statement

tvScientific is a performance TV advertising platform for data-driven D2C brands and mobile apps that delivers guaranteed outcomes through AI optimization and transparent measurement with/because of risk-sharing CPA models that improve ROAS by up to 50%

Positioning Framework

1Needs and Pain Points

What are their customer's needs and pain points around the problem the product is trying to solve?

• Rising digital advertising costs with Facebook and Google CPCs increasing 40% year-over-year [2] [16]
• Inability to measure and attribute TV advertising ROI to actual business outcomes [18]
• Lack of transparency and control in traditional TV advertising buying processes [11]
• Need to diversify customer acquisition channels beyond saturated digital platforms [13]
• Limited internal expertise for connected TV campaign management and optimization [7]
2Product Features

What product features will address these needs and solve these pain points?

• Self-serve platform combining integrated media buying and measurement with full campaign control [7]
• AI optimization technology that automatically learns and adapts campaigns in real time [18]
• Advanced audience targeting using 150M credit card user transactions for competitive conquest [14]
• Transparent reporting with clear attribution and ROI measurement capabilities [18]
• Pure CPA pricing model where tvScientific takes on media risk to guarantee outcomes [15]
3Key Benefits

What are the key benefits (rational and emotional) of those product features?

• ROAS improvement of up to 50% through sophisticated AI optimization technology [7]
• Complete transparency and confidence in campaign performance with radical reporting clarity [18]
• Risk-free TV advertising through CPA model where platform shares media investment risk [15]
• Accessible TV advertising that makes connected TV campaigns manageable for any team size [2]
• Measurable growth beyond digital channels with proven attribution to business outcomes [16]
4Benefit Pillars

Which of those benefits would be categorized as benefit pillars?

🎯 Performance Guarantee, 🤖 AI-Powered Optimization, 📊 Radical Transparency
5Emotional Benefits

What emotional benefits would the user have when they engage with or use the product?

Core Emotional Promise:
Confidence and control in TV advertising with guaranteed outcomes that eliminate the fear of wasted media spend [15] [18]

Supporting Emotions:
• Relief from digital advertising saturation and rising costs [16]
• Empowerment through accessible TV advertising without requiring agency expertise [2]
• Trust through radical transparency and clear attribution measurement [18]
6Positioning Statement

What are some positioning statements that could reflect its key benefits, product features, and value?

tvScientific is a performance TV advertising platform for data-driven D2C brands and mobile apps that delivers guaranteed outcomes through AI optimization and transparent measurement with risk-sharing CPA models that improve ROAS by up to 50%
7Competitive Differentiation

How do they differentiate from other competitors?

tvScientific is the only CTV platform purpose-built specifically for performance marketers with guaranteed outcome-based pricing [15] [16]

vs. The Trade Desk: Focuses on performance outcomes rather than broad programmatic reach, with CPA risk-sharing model [11]
vs. Samsung DSP: Targets performance-driven SMB market rather than enterprise-scale solutions [12]
vs. MNTN: Offers radical transparency and attribution measurement with AI optimization technology [18]

Key Differentiators:
• Only CTV platform offering pure CPA model with media risk sharing [15]
• AI optimization technology improving ROAS by up to 50% [7]
• Advanced audience targeting using 150M credit card transactions for competitive conquest [14]

Messaging Guide

TypeMessagePriority
🎯 Top-Line MessageThe first and only CTV platform that guarantees TV advertising outcomes for performance marketers through AI optimization and risk-sharing CPA pricing [15] [16]Primary
🎯 Performance GuaranteeWe're so confident in making TV work for your brand that we take on the media risk with pure CPA pricing [15]High
🎯 Performance GuaranteePurpose-built for serious performance marketers who demand measurable outcomes from every advertising dollar [16]High
🎯 Performance GuaranteeConnected TV advertising that proves its impact within your broader media mix with clear attribution [18]Medium
🤖 AI-Powered OptimizationCampaigns automatically learn and adapt in real time, improving ROAS by as much as 50% [7] [18]High
🤖 AI-Powered OptimizationSophisticated optimization technology that makes every TV dollar work harder for your business [7]High
🤖 AI-Powered OptimizationAI-driven audience targeting using 150M credit card transactions to reach your competitors' customers [14]Medium
📊 Radical TransparencyFull confidence in performance, attribution, and ROI with reporting that shows exactly where your money goes [18]High
📊 Radical TransparencySelf-serve platform gives you complete control over campaigns while our AI handles the optimization [7]High
📊 Radical TransparencyClear reporting and automation that helps marketers prove TV's impact with measurable business outcomes [18]Medium

References

  1. [1] tvScientific - 2025 Company Profile, Team, Funding & Competitors - Tracxnhttps://tracxn.com/d/companies/tvscientific/__QsMXKdIBXQ7vFy7eZ3KgKPbT2cH3yAiCXYZgdsB9iQI
  2. [2] tvScientific - Crunchbase Company Profile & Fundinghttps://www.crunchbase.com/organization/tvscientific
  3. [3] tvScientific 2026 Company Profile: Valuation, Funding & Investors | PitchBookhttps://pitchbook.com/profiles/company/462393-55
  4. [4] tvScientific Stock Price, Funding, Valuation, Revenue & Financial Statementshttps://www.cbinsights.com/company/tvscientific/financials
  5. [5] tvScientific - Products, Competitors, Financials, Employees, Headquarters Locationshttps://www.cbinsights.com/company/tvscientific
  6. [6] tvScientific: TV Advertising That Drives Saleshttps://www.tvscientific.com
  7. [7] Connected TV Platform | tvScientifichttps://www.tvscientific.com/connected-tv-platform
  8. [8] Connected TV Advertising | tvScientifichttps://www.tvscientific.com/insight/connected-tv-advertising
  9. [9] Connected TV Advertising Platform | tvScientific Platformhttps://www.tvscientific.com/tvscientific-platform
  10. [10] 7 Best The Trade Desk Competitors For Advertisinghttps://www.vibe.co/blog/how-to/trade-desk-competitors
  11. [11] The Trade Desk vs. tvScientific: Who’s leading the way in Performance TV optimization?https://www.tvscientific.com/insight/the-trade-desk-alternative
  12. [12] r/advertising on Reddit: Vibe vs Samsung DSP vs The Trade Desk: which self-serve CTV platforms are capable of serving enterprise brands?https://www.reddit.com/r/advertising/comments/1rdishx/vibe_vs_samsung_dsp_vs_the_trade_desk_which/
  13. [13] Customer Case Studies | tvScientifichttps://www.tvscientific.com/customers
  14. [14] What makes tvScientific different?https://www.tvscientific.com/insight/what-makes-tvscientific-different
  15. [15] tvScientific affiliate technology spotlight | Awinhttps://www.awin.com/us/publishers/case-studies/technology-partner-spotlight-tvscientific
  16. [16] tvScientific B2B Case Studies & Customer Successeshttps://www.casestudies.com/company/tvscientific
  17. [17] Audience Targeting | Premium TV Advertising with tvScientifichttps://www.tvscientific.com/targeting
  18. [18] tvScientific Reviews 2025: Details, Pricing, & Features | G2https://www.g2.com/products/tvscientific/reviews
  19. [19] How to Measure Customer Satisfaction (+Key Metrics to Track)https://learn.g2.com/measuring-customer-satisfaction
  20. [20] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studieshttps://www.featuredcustomers.com/vendor/tvscientific

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