tvScientific
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]
• 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
• 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 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Self-serve platform pricing structure [7]
• Traditional media buying fees for standard campaigns [7]
• No disclosed specific pricing tiers publicly available [6]
💵Revenue
• 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
• 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
• 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
• 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] tvScientific - 2025 Company Profile, Team, Funding & Competitors - Tracxn — https://tracxn.com/d/companies/tvscientific/__QsMXKdIBXQ7vFy7eZ3KgKPbT2cH3yAiCXYZgdsB9iQI
- [2] tvScientific - Crunchbase Company Profile & Funding — https://www.crunchbase.com/organization/tvscientific
- [3] tvScientific 2026 Company Profile: Valuation, Funding & Investors | PitchBook — https://pitchbook.com/profiles/company/462393-55
- [4] tvScientific Stock Price, Funding, Valuation, Revenue & Financial Statements — https://www.cbinsights.com/company/tvscientific/financials
- [5] tvScientific - Products, Competitors, Financials, Employees, Headquarters Locations — https://www.cbinsights.com/company/tvscientific
- [6] tvScientific: TV Advertising That Drives Sales — https://www.tvscientific.com
- [7] Connected TV Platform | tvScientific — https://www.tvscientific.com/connected-tv-platform
- [8] Connected TV Advertising | tvScientific — https://www.tvscientific.com/insight/connected-tv-advertising
- [9] Connected TV Advertising Platform | tvScientific Platform — https://www.tvscientific.com/tvscientific-platform
- [10] 7 Best The Trade Desk Competitors For Advertising — https://www.vibe.co/blog/how-to/trade-desk-competitors
- [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] 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] Customer Case Studies | tvScientific — https://www.tvscientific.com/customers
- [14] What makes tvScientific different? — https://www.tvscientific.com/insight/what-makes-tvscientific-different
- [15] tvScientific affiliate technology spotlight | Awin — https://www.awin.com/us/publishers/case-studies/technology-partner-spotlight-tvscientific
- [16] tvScientific B2B Case Studies & Customer Successes — https://www.casestudies.com/company/tvscientific
- [17] Audience Targeting | Premium TV Advertising with tvScientific — https://www.tvscientific.com/targeting
- [18] tvScientific Reviews 2025: Details, Pricing, & Features | G2 — https://www.g2.com/products/tvscientific/reviews
- [19] How to Measure Customer Satisfaction (+Key Metrics to Track) — https://learn.g2.com/measuring-customer-satisfaction
- [20] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studies — https://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
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].
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].
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].
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].
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
• Digital advertising expertise: Teams experienced with programmatic platforms and performance marketing
• Scaling customer acquisition: Companies expanding beyond Facebook/Google seeking new growth channels
Highest revenue potential with proven willingness to adopt CPA models and AI optimization technology.
• Performance metrics expertise: Teams tracking LTV, CAC, and other mobile-specific KPIs
• Cross-platform advertising: Companies already using multiple acquisition channels beyond app stores
Strong growth potential with natural fit for performance-based TV advertising models.
• 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
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
💭 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
💭 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
💭 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] tvScientific - 2025 Company Profile, Team, Funding & Competitors - Tracxn — https://tracxn.com/d/companies/tvscientific/__QsMXKdIBXQ7vFy7eZ3KgKPbT2cH3yAiCXYZgdsB9iQI
- [2] tvScientific - Crunchbase Company Profile & Funding — https://www.crunchbase.com/organization/tvscientific
- [3] tvScientific 2026 Company Profile: Valuation, Funding & Investors | PitchBook — https://pitchbook.com/profiles/company/462393-55
- [4] tvScientific Stock Price, Funding, Valuation, Revenue & Financial Statements — https://www.cbinsights.com/company/tvscientific/financials
- [5] tvScientific - Products, Competitors, Financials, Employees, Headquarters Locations — https://www.cbinsights.com/company/tvscientific
- [6] tvScientific: TV Advertising That Drives Sales — https://www.tvscientific.com
- [7] Connected TV Platform | tvScientific — https://www.tvscientific.com/connected-tv-platform
- [8] Connected TV Advertising | tvScientific — https://www.tvscientific.com/insight/connected-tv-advertising
- [9] Connected TV Advertising Platform | tvScientific Platform — https://www.tvscientific.com/tvscientific-platform
- [10] 7 Best The Trade Desk Competitors For Advertising — https://www.vibe.co/blog/how-to/trade-desk-competitors
- [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] 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] Customer Case Studies | tvScientific — https://www.tvscientific.com/customers
- [14] What makes tvScientific different? — https://www.tvscientific.com/insight/what-makes-tvscientific-different
- [15] tvScientific affiliate technology spotlight | Awin — https://www.awin.com/us/publishers/case-studies/technology-partner-spotlight-tvscientific
- [16] tvScientific B2B Case Studies & Customer Successes — https://www.casestudies.com/company/tvscientific
- [17] Audience Targeting | Premium TV Advertising with tvScientific — https://www.tvscientific.com/targeting
- [18] tvScientific Reviews 2025: Details, Pricing, & Features | G2 — https://www.g2.com/products/tvscientific/reviews
- [19] How to Measure Customer Satisfaction (+Key Metrics to Track) — https://learn.g2.com/measuring-customer-satisfaction
- [20] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studies — https://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
What are their customer's needs and pain points around the problem the product is trying to solve?
• 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]
What product features will address these needs and solve these pain points?
• 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]
What are the key benefits (rational and emotional) of those product features?
• 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]
Which of those benefits would be categorized as benefit pillars?
What emotional benefits would the user have when they engage with or use the product?
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]
What are some positioning statements that could reflect its key benefits, product features, and value?
How do they differentiate from other competitors?
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
| Type | Message | Priority |
|---|---|---|
| 🎯 Top-Line Message | The 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 Guarantee | We're so confident in making TV work for your brand that we take on the media risk with pure CPA pricing [15] | High |
| 🎯 Performance Guarantee | Purpose-built for serious performance marketers who demand measurable outcomes from every advertising dollar [16] | High |
| 🎯 Performance Guarantee | Connected TV advertising that proves its impact within your broader media mix with clear attribution [18] | Medium |
| 🤖 AI-Powered Optimization | Campaigns automatically learn and adapt in real time, improving ROAS by as much as 50% [7] [18] | High |
| 🤖 AI-Powered Optimization | Sophisticated optimization technology that makes every TV dollar work harder for your business [7] | High |
| 🤖 AI-Powered Optimization | AI-driven audience targeting using 150M credit card transactions to reach your competitors' customers [14] | Medium |
| 📊 Radical Transparency | Full confidence in performance, attribution, and ROI with reporting that shows exactly where your money goes [18] | High |
| 📊 Radical Transparency | Self-serve platform gives you complete control over campaigns while our AI handles the optimization [7] | High |
| 📊 Radical Transparency | Clear reporting and automation that helps marketers prove TV's impact with measurable business outcomes [18] | Medium |
References
- [1] tvScientific - 2025 Company Profile, Team, Funding & Competitors - Tracxn — https://tracxn.com/d/companies/tvscientific/__QsMXKdIBXQ7vFy7eZ3KgKPbT2cH3yAiCXYZgdsB9iQI
- [2] tvScientific - Crunchbase Company Profile & Funding — https://www.crunchbase.com/organization/tvscientific
- [3] tvScientific 2026 Company Profile: Valuation, Funding & Investors | PitchBook — https://pitchbook.com/profiles/company/462393-55
- [4] tvScientific Stock Price, Funding, Valuation, Revenue & Financial Statements — https://www.cbinsights.com/company/tvscientific/financials
- [5] tvScientific - Products, Competitors, Financials, Employees, Headquarters Locations — https://www.cbinsights.com/company/tvscientific
- [6] tvScientific: TV Advertising That Drives Sales — https://www.tvscientific.com
- [7] Connected TV Platform | tvScientific — https://www.tvscientific.com/connected-tv-platform
- [8] Connected TV Advertising | tvScientific — https://www.tvscientific.com/insight/connected-tv-advertising
- [9] Connected TV Advertising Platform | tvScientific Platform — https://www.tvscientific.com/tvscientific-platform
- [10] 7 Best The Trade Desk Competitors For Advertising — https://www.vibe.co/blog/how-to/trade-desk-competitors
- [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] 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] Customer Case Studies | tvScientific — https://www.tvscientific.com/customers
- [14] What makes tvScientific different? — https://www.tvscientific.com/insight/what-makes-tvscientific-different
- [15] tvScientific affiliate technology spotlight | Awin — https://www.awin.com/us/publishers/case-studies/technology-partner-spotlight-tvscientific
- [16] tvScientific B2B Case Studies & Customer Successes — https://www.casestudies.com/company/tvscientific
- [17] Audience Targeting | Premium TV Advertising with tvScientific — https://www.tvscientific.com/targeting
- [18] tvScientific Reviews 2025: Details, Pricing, & Features | G2 — https://www.g2.com/products/tvscientific/reviews
- [19] How to Measure Customer Satisfaction (+Key Metrics to Track) — https://learn.g2.com/measuring-customer-satisfaction
- [20] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studies — https://www.featuredcustomers.com/vendor/tvscientific
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