Top 15 Programmatic Advertising Platforms

1. The Trade Desk

Why it stands out

The Trade Desk remains one of the most influential independent DSPs in the programmatic ecosystem, particularly for advertisers seeking transparency, premium omnichannel inventory, and sophisticated bidding control outside the major walled gardens.

Its strength lies in the balance between scale and flexibility. While many DSPs excel in one environment — such as display, retail media, or CTV — The Trade Desk has consistently maintained strong capabilities across display, video, audio, native, digital out-of-home, and connected television.

The platform has also positioned itself aggressively for the post-cookie environment through Unified ID 2.0, helping advertisers prepare for signal loss without relying entirely on proprietary ecosystems.

For agencies and enterprise brands running high-volume campaigns, Kokai — the platform’s AI-driven optimisation framework — has materially improved forecasting, pacing, and bid efficiency in ways that are noticeable at operational level rather than merely theoretical.

Best fit for

• Enterprise advertisers managing large omnichannel budgets
• Agencies requiring granular optimisation controls
• Brands investing heavily in connected TV
• Programmatic teams prioritising supply path optimisation and transparency
• Advertisers seeking alternatives to Google’s ecosystem

Key strengths

• Strong premium CTV marketplace access
• Advanced bid optimisation and forecasting tools
• Excellent transparency across inventory paths
• Robust cross-channel campaign orchestration
• Mature identity strategy with UID2 support
• Powerful reporting and customisation capabilities
• Extensive integrations with third-party measurement partners

Potential limitations

The platform can feel operationally dense for smaller in-house teams or advertisers without dedicated programmatic specialists. Compared with more simplified DSPs, campaign setup, optimisation structures, and reporting workflows require greater technical familiarity.

Minimum spend expectations may also place it outside the comfort zone of smaller advertisers, particularly those testing programmatic for the first time.

In some cases, advertisers heavily dependent on Google-owned inventory may still find DV360 operationally simpler despite weaker transparency.

Pricing & commercial model

Pricing is typically customised based on media spend, service structure, and agency arrangements. The platform is generally geared towards mid-market and enterprise advertisers rather than low-budget self-serve users.

Managed-service options are available through agency partners, while larger advertisers often operate on a fully self-serve basis with dedicated account support.

Final verdict

For sophisticated advertisers, The Trade Desk continues to set the benchmark for independent programmatic buying. Its combination of transparency, omnichannel reach, optimisation depth, and future-facing identity strategy makes it especially compelling for brands treating programmatic as a core media channel rather than a secondary acquisition tactic.

The operational complexity may exceed the needs of smaller advertisers, but for experienced teams, the platform offers one of the strongest programmatic ecosystems currently available.

2. Google Display & Video 360

Why it stands out

Google Display & Video 360 occupies a unique position in programmatic advertising because of how tightly it integrates with Google’s broader media and data ecosystem. For many advertisers, particularly global brands and large agencies, DV360 functions less like a standalone DSP and more like a central operating layer for cross-channel digital media buying.

Its biggest advantage is operational efficiency at scale. The connection between DV360, Campaign Manager 360, Google Analytics, YouTube, and Google audiences creates workflows that are often faster and more unified than what independent DSPs can realistically replicate.

The platform is especially strong in video and connected TV activation through YouTube inventory access, which remains a major differentiator in the current market. For advertisers prioritising reach and audience scale over granular supply-chain transparency, DV360 continues to be difficult to displace.

Recent improvements in automation, audience modelling, and AI-assisted optimisation have also made the platform more effective for teams managing large campaign portfolios across multiple regions and channels.

Best fit for

• Enterprise brands already invested in Google Marketing Platform
• Agencies managing complex global campaigns
• Advertisers prioritising YouTube and video inventory
• Teams seeking streamlined workflow integration
• Brands focused on broad audience reach and scalable activation

Key strengths

• Direct integration with Google’s advertising ecosystem
• Strong YouTube and video advertising capabilities
• Efficient cross-channel campaign management
• Advanced audience targeting and data integration
• Scalable reporting and measurement infrastructure
• Strong automation and machine learning tools
• Reliable global inventory reach

Potential limitations

Transparency remains one of the platform’s more debated areas. Compared with independent DSPs, DV360 can offer less visibility into certain supply-path dynamics and fee structures, which may concern advertisers heavily focused on media accountability or SPO initiatives.

The interface is also powerful but not especially intuitive for newer programmatic teams. While easier to operationalise than some enterprise DSPs, fully understanding its campaign hierarchy, integrations, and measurement structure still requires specialist knowledge.

There is also the broader strategic consideration of ecosystem dependence. Brands already heavily reliant on Google for search, analytics, ad serving, and programmatic may find themselves with limited diversification across media infrastructure.

Pricing & commercial model

DV360 pricing is typically based on media spend and platform fees negotiated through agency or enterprise agreements. Access is generally geared towards medium-to-large advertisers, with many brands entering through certified Google Marketing Platform partners.

Costs can become substantial at scale, particularly when layered alongside Campaign Manager 360 and additional measurement solutions, though many advertisers justify this through operational consolidation.

Final verdict

DV360 remains one of the most operationally powerful DSPs on the market, particularly for advertisers already embedded within Google’s ecosystem. Its combination of reach, workflow integration, video inventory access, and automation capabilities makes it highly effective for large-scale omnichannel execution.

For brands prioritising independent transparency and greater control over supply paths, alternatives like The Trade Desk may offer stronger flexibility. However, for sheer ecosystem integration and global scalability, DV360 continues to hold a dominant position in programmatic advertising.

3. Amazon DSP

Why it stands out

Amazon DSP has evolved well beyond its original perception as simply an ecommerce advertising extension. In practice, it now sits at the centre of one of the most commercially valuable datasets in digital advertising: real purchase behaviour.

Where many DSPs rely heavily on inferred intent signals, Amazon operates from deterministic shopping activity across millions of active consumers. That distinction matters. For advertisers focused on measurable commerce outcomes rather than upper-funnel visibility alone, Amazon DSP can produce unusually strong performance efficiency — particularly in retail, consumer electronics, beauty, grocery, and household categories.

The platform has also expanded aggressively into connected TV through Prime Video, Twitch, Fire TV, and third-party premium publishers, giving brands broader full-funnel opportunities than many advertisers initially expect.

What makes Amazon DSP particularly compelling is its ability to bridge awareness and transaction data inside a single ecosystem. That connection is increasingly valuable as attribution becomes more fragmented across the wider open web.

Best fit for

• Ecommerce and retail-focused brands
• Advertisers selling on Amazon Marketplace
• Consumer goods companies prioritising purchase attribution
• Brands investing in retail media strategies
• Advertisers seeking commerce-driven audience targeting
• CTV advertisers looking for retail-linked measurement

Key strengths

• Access to high-intent shopper and purchase data
• Strong retail media and ecommerce attribution capabilities
• Expanding connected TV inventory ecosystem
• Closed-loop measurement tied to sales activity
• Effective audience segmentation based on buying behaviour
• Strong performance in lower-funnel campaigns
• Valuable incremental reach outside Amazon-owned properties

Potential limitations

The platform’s strengths are also its constraints. Amazon DSP performs best when campaigns align with retail and commerce objectives, but it can feel less flexible for purely brand-led awareness strategies compared with broader omnichannel DSPs.

Advertisers not operating within Amazon’s ecosystem may also find certain measurement advantages less accessible. While off-Amazon activation has improved significantly, the platform still naturally prioritises Amazon-centric data environments.

There can also be operational fragmentation between Amazon Ads products, particularly for teams simultaneously managing sponsored ads, retail media placements, and DSP campaigns across multiple markets.

Pricing & commercial model

Amazon DSP is available through both managed-service and self-service arrangements, although self-service access is generally reserved for advertisers with larger budgets and internal expertise.

Minimum spend thresholds vary by region and service structure. Managed-service models often appeal to brands entering programmatic retail media for the first time, while larger advertisers typically move towards direct platform control.

Media costs within premium retail and CTV inventory environments can become competitive, especially during major seasonal shopping periods.

Final verdict

Amazon DSP has become one of the most commercially influential platforms in programmatic advertising because it connects media buying directly to consumer purchasing behaviour in ways few competitors can replicate.

For retail and ecommerce advertisers, the platform offers a level of transactional insight that materially changes optimisation strategy. It may not provide the same open-web flexibility as some independent DSPs, but for brands prioritising measurable revenue impact, Amazon DSP is increasingly difficult to ignore.

4. Yahoo DSP

Why it stands out

Yahoo DSP has quietly remained one of the more resilient platforms in programmatic advertising, even as industry attention tends to gravitate towards larger ecosystem players like Google and Amazon.

Part of its longevity comes from the fact that Yahoo has consistently maintained strong ownership of premium media environments, editorial inventory, identity assets, and consumer data infrastructure. That combination gives the DSP a noticeably different character from many purely exchange-driven buying platforms.

The platform performs particularly well in omnichannel campaigns where native, video, connected TV, and display need to operate cohesively without becoming overly fragmented operationally.

Yahoo DSP has also invested heavily in cookieless targeting and identity resolution, positioning itself more competitively as signal loss continues reshaping audience targeting across the open web.

While it may not dominate industry headlines, many experienced traders still value Yahoo DSP for its dependable inventory access, solid native advertising capability, and relatively balanced mix of automation and manual control.

Best fit for

• Brands running omnichannel awareness campaigns
• Advertisers prioritising native and premium editorial inventory
• Agencies seeking diversified DSP options beyond Google
• Mid-market and enterprise advertisers
• Teams focused on cookieless targeting strategies
• CTV and video advertisers looking for open-web scale

Key strengths

• Strong native advertising infrastructure
• Quality premium publisher relationships
• Good omnichannel campaign support
• Competitive connected TV inventory access
• Mature identity and contextual targeting capabilities
• Reliable cross-device audience targeting
• Easier operational onboarding than some enterprise DSPs

Potential limitations

Yahoo DSP can occasionally feel less cutting-edge than newer AI-focused platforms entering the market. While the platform is operationally solid, its interface and workflow design are not always as modern or streamlined as some competitors.

The platform’s market perception can also work against it. Despite maintaining strong capabilities, Yahoo is sometimes overlooked during enterprise DSP evaluations simply because industry attention tends to concentrate around a smaller group of dominant players.

For highly advanced trading teams seeking extremely granular optimisation logic or extensive custom algorithmic bidding, platforms like The Trade Desk may still provide deeper flexibility.

Pricing & commercial model

Yahoo DSP typically operates on enterprise or agency-based commercial agreements, with pricing influenced by spend volume, inventory access, and service structure.

The platform is generally accessible to a wider range of advertisers than some premium enterprise DSPs, making it more approachable for mid-sized brands expanding into programmatic channels.

Managed-service support is commonly available, particularly for advertisers running complex omnichannel campaigns.

Final verdict

Yahoo DSP continues to occupy a valuable middle ground in programmatic advertising: sophisticated enough for experienced media teams, but often more approachable operationally than some of the largest enterprise platforms.

Its strongest appeal lies in omnichannel execution, premium inventory access, and native advertising performance rather than aggressive market positioning. For advertisers seeking a stable, capable DSP outside the dominant walled gardens, Yahoo DSP remains more relevant than many assume.

5. StackAdapt

Why it stands out

StackAdapt has built a strong reputation by approaching programmatic advertising with a noticeably more marketer-friendly philosophy than many traditional DSPs.

Where some enterprise platforms still feel engineered primarily for agency trading desks, StackAdapt has focused heavily on usability, workflow simplicity, and campaign accessibility without stripping away meaningful optimisation capability. That balance has helped it gain significant traction among mid-market brands, performance agencies, and in-house teams that want sophisticated programmatic execution without excessive operational friction.

The platform is particularly well regarded for native advertising, contextual targeting, and connected TV campaigns. Its contextual engine has become increasingly valuable as advertisers adapt to privacy changes and reduced third-party cookie reliance across the open web.

StackAdapt also tends to move quickly with product development. Compared with some legacy DSPs, feature rollouts often feel more responsive to how modern advertisers actually work — especially around AI-assisted optimisation, audience modelling, and cross-channel planning.

Best fit for

• Mid-market brands scaling programmatic activity
• Agencies managing multiple client campaigns
• Advertisers prioritising contextual targeting
• Brands investing in native and connected TV advertising
• In-house marketing teams seeking operational simplicity
• Companies transitioning from social-first media buying into programmatic

Key strengths

• Intuitive and accessible user interface
• Strong native advertising capabilities
• Advanced contextual targeting technology
• Effective connected TV campaign support
• Fast platform innovation and feature development
• Good onboarding experience for growing teams
• Flexible omnichannel activation across display, video, audio, and native

Potential limitations

While StackAdapt has expanded rapidly, some enterprise advertisers may still find its ecosystem breadth narrower than larger DSP incumbents operating at global holding-company scale.

The platform is highly capable operationally, but ultra-large advertisers running deeply customised trading strategies may occasionally prefer the additional infrastructure depth and bespoke integrations available through platforms like The Trade Desk or DV360.

There can also be variability in inventory quality management depending on campaign setup, meaning optimisation discipline still matters despite the platform’s automation strengths.

Pricing & commercial model

StackAdapt typically offers more accessible entry points than many enterprise-focused DSPs, which has contributed significantly to its adoption among agencies and mid-sized brands.

Commercial structures vary depending on spend levels and service models, with both self-serve and managed-service arrangements available. The platform is generally considered more approachable for advertisers entering programmatic at moderate budget levels without requiring massive annual commitments.

Final verdict

StackAdapt succeeds because it removes much of the operational heaviness traditionally associated with programmatic advertising while still delivering serious campaign capability.

Its combination of usability, contextual intelligence, omnichannel support, and rapid product development makes it especially attractive for modern marketing teams that want programmatic performance without inheriting enterprise-level complexity.

For advertisers prioritising agility and ease of execution over deeply customised trading infrastructure, StackAdapt has become one of the strongest alternatives in the current DSP market.

6. Basis Technologies

Why it stands out

Basis Technologies approaches programmatic advertising from a slightly different angle than most DSPs on this list. Rather than positioning itself purely as a bidding and inventory platform, Basis has long focused on consolidating media planning, execution, workflow management, reporting, and financial operations into a single environment.

That distinction matters more than it may initially appear. For many agencies and in-house teams, one of the biggest operational problems in programmatic advertising is not media buying itself, but the fragmentation surrounding it — separate systems for planning, trafficking, reporting, billing, reconciliation, and optimisation.

Basis attempts to reduce that operational sprawl.

The platform has become particularly popular among independent agencies and mid-sized media teams that want stronger process control without building enterprise-level trading infrastructure internally. Its integrated workflow tooling often appeals just as much as its programmatic buying capability.

While it may not carry the same prestige factor as larger DSP brands, Basis has developed a loyal following because it tends to solve practical operational issues that directly affect day-to-day campaign management.

Best fit for

• Independent agencies managing multiple clients
• Mid-sized media teams seeking workflow consolidation
• Advertisers wanting integrated planning and buying tools
• Teams prioritising operational efficiency
• Agencies handling both direct and programmatic media
• Organisations needing financial workflow visibility alongside campaign delivery

Key strengths

• Unified workflow across planning, buying, reporting, and billing
• Strong operational and financial management tools
• Accessible interface for agency teams
• Effective cross-channel campaign management
• Good transparency into media operations
• Useful automation for repetitive workflow tasks
• Strong support for collaborative campaign management

Potential limitations

Basis is often strongest operationally rather than technically dominant in pure bidding sophistication. Advertisers seeking extremely advanced algorithmic optimisation or highly customised trading strategies may find larger enterprise DSPs offer deeper capability in those specific areas.

Its global market presence is also more limited compared with dominant multinational platforms, which may matter for advertisers running very large international media operations.

In some cases, the platform’s broader workflow functionality can create a learning curve for teams expecting a more narrowly focused DSP experience.

Pricing & commercial model

Basis typically operates through customised pricing structures based on media spend, workflow requirements, and service configuration.

The platform is often more financially accessible than some enterprise DSP environments, particularly for independent agencies seeking consolidated operational tooling without maintaining multiple separate software subscriptions.

Managed support and onboarding services are commonly included depending on account structure.

Final verdict

Basis Technologies stands out less for headline-grabbing innovation and more for solving the operational realities that media teams deal with every day.

Its value becomes especially clear in environments where campaign execution, reporting, approvals, reconciliation, and workflow coordination consume as much time as optimisation itself.

For independent agencies and growing media teams looking to simplify fragmented advertising operations, Basis offers one of the more practical and operationally mature solutions in the programmatic market.

7. Adform

Why it stands out

Adform has consistently differentiated itself by focusing on independence, interoperability, and full-stack advertising infrastructure at a time when much of the industry has consolidated around increasingly closed ecosystems.

Unlike many DSPs that concentrate primarily on media buying, Adform operates across ad serving, data management, and programmatic execution within a unified platform. For advertisers wanting tighter control over data ownership and campaign infrastructure, that broader architectural approach can be highly attractive.

The platform has historically maintained strong traction in European markets, where privacy regulation, consent management, and data governance carry greater strategic weight in advertising decisions. As a result, Adform often feels particularly well aligned with advertisers navigating GDPR-heavy environments and stricter compliance expectations.

There is also a noticeable emphasis on customisation throughout the platform. Adform tends to appeal to technically capable marketing teams that prefer configurable infrastructure over highly standardised workflows.

Best fit for

• European advertisers and agencies
• Brands prioritising data ownership and privacy compliance
• Organisations seeking independent ad tech infrastructure
• Advertisers requiring integrated ad serving and DSP functionality
• Teams operating in highly regulated markets
• Technically advanced programmatic teams

Key strengths

• Strong full-stack advertising infrastructure
• Good interoperability across media systems
• Mature privacy and consent management capabilities
• Flexible campaign customisation options
• Integrated ad serving and data management tools
• Strong European market expertise
• Independent positioning outside major walled gardens

Potential limitations

Adform’s flexibility and infrastructure depth can make the platform feel more technical than marketer-friendly, particularly for smaller in-house teams without dedicated programmatic specialists.

Its market visibility is also stronger in Europe than in North America, which can occasionally affect publisher relationships, ecosystem familiarity, and regional support expectations depending on campaign geography.

Compared with more aggressively innovation-led DSPs, Adform sometimes prioritises infrastructure stability and compliance over rapid feature experimentation.

Pricing & commercial model

Adform generally operates through enterprise and agency agreements tailored to campaign scale, infrastructure usage, and service requirements.

Pricing can vary substantially depending on whether advertisers use the platform purely as a DSP or adopt its broader ad serving and data management capabilities as part of a full-stack setup.

The platform is primarily aimed at medium-to-large advertisers rather than smaller self-serve users.

Final verdict

Adform remains one of the more strategically independent players in programmatic advertising, particularly for organisations that care deeply about data governance, infrastructure control, and regulatory resilience.

While it may not generate the same industry buzz as some larger DSPs, its integrated architecture and strong privacy positioning continue to make it highly relevant — especially for advertisers operating in complex international and compliance-sensitive environments.

8. Criteo

Why it stands out

Criteo occupies a somewhat unusual position in the programmatic market because it evolved from performance retargeting specialist into a much broader commerce media platform without completely losing its performance DNA along the way.

That heritage still shapes how the platform operates today. Even as Criteo has expanded into retail media, upper-funnel activation, and omnichannel advertising, its core strength remains rooted in transaction-oriented optimisation and commerce intelligence.

The platform is especially effective for advertisers focused on product discovery, dynamic advertising, and conversion efficiency. Its access to large-scale retailer and ecommerce data partnerships gives it a strong foundation for audience modelling tied closely to shopping behaviour rather than purely demographic or behavioural assumptions.

Criteo has also adapted surprisingly well to shifts in privacy and identity. While many legacy retargeting platforms struggled after third-party cookie changes accelerated, Criteo repositioned itself around first-party commerce data and retailer relationships that remain highly valuable in the current environment.

Best fit for

• Ecommerce and retail advertisers
• Brands prioritising performance marketing outcomes
• Retail media and commerce-driven campaigns
• Advertisers running dynamic product advertising
• Consumer brands focused on conversion efficiency
• Companies seeking lower-funnel optimisation at scale

Key strengths

• Strong commerce and shopper data integrations
• Effective dynamic retargeting capabilities
• Mature retail media infrastructure
• Strong performance optimisation tools
• Extensive ecommerce publisher network
• Good product-level audience targeting
• Valuable lower-funnel campaign performance

Potential limitations

Criteo’s performance-focused heritage can occasionally make the platform feel narrower strategically than broader omnichannel DSPs designed equally for awareness, branding, and upper-funnel media orchestration.

Advertisers seeking highly sophisticated cross-channel storytelling or premium omnichannel brand activation may find platforms like DV360 or The Trade Desk offer greater flexibility outside commerce-led objectives.

There is also the perception challenge attached to Criteo’s historical association with retargeting. Although the platform has evolved substantially, some advertisers still underestimate how much broader its capabilities have become.

Pricing & commercial model

Criteo typically operates through managed-service or hybrid commercial arrangements, with pricing influenced by campaign scale, media channels, and retailer partnerships.

Performance-oriented pricing models are common in ecommerce environments, particularly where campaigns are closely tied to measurable sales outcomes.

The platform is accessible across a fairly broad range of advertiser sizes, though larger ecommerce brands tend to extract the most value from its data ecosystem.

Final verdict

Criteo remains one of the strongest platforms for advertisers treating programmatic primarily as a commerce and revenue channel rather than a pure brand-awareness vehicle.

Its combination of shopper intelligence, retail media reach, dynamic advertising capability, and performance optimisation continues to make it highly effective for ecommerce-focused marketers navigating increasingly fragmented digital buying environments.

For brands prioritising measurable commercial outcomes, Criteo’s evolution beyond traditional retargeting has made it considerably more strategically relevant than many assume.

9. Quantcast

Why it stands out

Quantcast has always leaned more heavily into predictive intelligence than traditional media buying mechanics, and that difference still defines how the platform is positioned today.

Rather than relying primarily on third-party segments or heavily curated inventory deals, Quantcast built its reputation on real-time audience modelling — using large-scale behavioural signals to infer intent and predict outcomes across the open web. That approach became particularly relevant as identity signals weakened and advertisers were forced to rethink how audiences are discovered and activated.

The platform is often used where speed of insight matters as much as campaign control. Instead of requiring extensive manual segmentation or complex trading desk setups, Quantcast aims to automate much of the audience discovery layer, translating behavioural data into actionable targeting in near real time.

In practice, it tends to sit in a slightly different mental category for buyers — closer to “AI audience engine” than a traditional DSP workflow environment.

Best fit for

• Performance-focused digital advertisers
• Mid-market brands scaling programmatic activity quickly
• Teams prioritising automated audience discovery
• Publishers and advertisers leveraging first-party behavioural data
• Agencies running agile, fast-iteration campaigns
• Brands looking to supplement broader DSP strategies with predictive modelling

Key strengths

• Strong real-time audience prediction models
• Fast campaign setup and activation cycles
• Effective automation of targeting and optimisation
• Useful for upper- and mid-funnel performance campaigns
• Strong contextual and behavioural inference capabilities
• Good fit for iterative testing environments
• Lower operational overhead compared with enterprise DSPs

Potential limitations

Quantcast is not always positioned as a full replacement for enterprise DSP ecosystems. Advertisers running highly complex omnichannel strategies may still require additional platforms to cover broader inventory sourcing, advanced trading controls, or deep supply-path optimisation.

Its automation-first approach can also feel limiting for teams that prefer granular manual control over bidding logic, pacing strategies, or highly customised media structures.

In some markets, its inventory depth may be narrower than larger DSPs with more extensive global publisher integrations.

Pricing & commercial model

Quantcast generally operates on managed-service and hybrid models, with pricing tied to media spend and campaign scope.

It is often positioned as more accessible than top-tier enterprise DSPs, particularly for advertisers who want to adopt programmatic without building large trading teams internally.

Commercial flexibility tends to vary by region and advertiser scale.

Final verdict

Quantcast is best understood as a prediction-led advertising platform rather than a traditional DSP in the classic trading-desk sense.

Its strength lies in speed, automation, and audience intelligence — making it particularly useful for advertisers who want programmatic activation without the operational overhead of heavyweight enterprise systems.

For teams comfortable with algorithm-led optimisation, it can function as a powerful complement to broader DSP stacks, especially in performance-driven environments where rapid learning cycles matter more than granular manual control.

10. Samsung Ads

Why it stands out

Samsung Ads is not a DSP in the traditional sense, and that distinction is exactly what makes it interesting in modern programmatic strategy. It operates more as a connected TV and smart device advertising ecosystem, sitting directly on top of Samsung’s massive footprint across smart TVs, mobile devices, and connected household hardware.

This proximity to the viewing environment gives Samsung Ads a level of attention signal that standard web-based DSPs cannot easily replicate. Instead of inferring TV consumption, it has direct access to it at the device level — including content exposure, app usage, and viewing behaviour across its smart TV install base.

In practical campaign terms, Samsung Ads is often used to extend reach within premium CTV environments where linear TV budgets are shifting. It tends to sit alongside broader DSP strategies rather than replacing them, acting as a high-quality incrementality layer for video-first planning.

The platform has also been increasingly integrated into broader programmatic workflows through partnerships with DSPs, allowing advertisers to activate Samsung inventory without fragmenting campaign management structures.

Best fit for

• Brands investing heavily in connected TV advertising
• Advertisers shifting budgets from linear TV to digital video
• Large consumer brands focused on household reach
• Agencies running omnichannel video strategies
• Performance marketers testing upper-funnel CTV incrementality
• Advertisers seeking device-level audience insights

Key strengths

• Direct access to smart TV viewing environments
• Strong connected TV inventory scale
• High-quality household-level audience signals
• Valuable incrementality for video campaigns
• Strong brand-safe premium environment
• Useful complement to DSP-based video strategies
• Expanding integration with major programmatic platforms

Potential limitations

Samsung Ads is not a full-funnel DSP, and it should not be evaluated as one. Its role is more specialised, focused heavily on connected TV and device-level advertising rather than broad open-web activation.

Measurement and attribution can also require careful setup, particularly when combining Samsung Ads exposure with broader DSP campaigns. Without a unified measurement strategy, deduplication and incrementality analysis can become complex.

Its utility is also naturally constrained by Samsung’s device ecosystem, meaning it performs best in markets where Samsung TV penetration is high.

Pricing & commercial model

Samsung Ads typically operates on managed-service or platform-access models, with pricing based on audience segments, impression scale, and CTV inventory demand.

It is generally positioned as a premium video channel, with costs reflecting the quality of the connected TV environment and household-level targeting capabilities.

Most advertisers engage through partnerships with DSPs or programmatic intermediaries rather than direct self-serve activation.

Final verdict

Samsung Ads functions less like a standalone programmatic platform and more like a strategic extension of connected TV reach within a broader media plan.

Its strength lies in high-quality video environments, device-level audience intelligence, and incremental reach beyond traditional DSP inventory.

For advertisers serious about CTV as a core channel rather than a test budget allocation, Samsung Ads often becomes a valuable layer in a wider programmatic ecosystem rather than a replacement for it.

11. Viant Technology

Why it stands out

Viant Technology tends to sit slightly outside the mainstream DSP conversation, but it has carved out a very deliberate position around people-based marketing and deterministic identity — particularly in environments where advertisers want to move away from probabilistic targeting.

What distinguishes Viant is its long-standing focus on identity resolution through owned and partnered data assets, enabling advertisers to maintain continuity of audience targeting across devices in ways that feel more anchored to real user profiles than purely behavioural inference.

The platform is also closely associated with the evolution of “people-based advertising” in the US market, where logged-in identity signals and deterministic matching are often prioritised over broader contextual modelling approaches.

In practice, Viant is frequently used by advertisers who want a more controlled, identity-forward alternative within the DSP landscape, especially when running campaigns where audience accuracy is prioritised over maximum inventory breadth.

Best fit for

• US-focused performance advertisers
• Brands prioritising deterministic identity targeting
• Mid-market to enterprise advertisers
• Agencies running audience-centric programmatic strategies
• Marketers seeking alternatives to walled-garden ecosystems
• Campaigns requiring consistent cross-device user recognition

Key strengths

• Strong people-based identity framework
• Reliable cross-device audience matching
• Good performance for audience-driven campaigns
• Useful for direct-response and acquisition strategies
• Integrated data partnerships supporting targeting accuracy
• Solid support for omnichannel digital campaigns
• Clear focus on measurable audience outcomes

Potential limitations

Viant’s ecosystem is more geographically concentrated than global DSPs, with strongest traction in the United States. For multinational advertisers, this can limit its role to specific regional strategies rather than acting as a global primary DSP.

Its inventory breadth and advanced trading sophistication are also less extensive than larger enterprise platforms, particularly when it comes to highly complex omnichannel optimisation or deep supply-path engineering.

The platform’s identity-led approach can also be less flexible in privacy-constrained environments where deterministic matching is reduced.

Pricing & commercial model

Viant typically operates on managed-service and hybrid agreements, with pricing structured around media spend, audience access, and campaign complexity.

It is generally positioned for mid-market and enterprise advertisers rather than small-scale self-serve buyers, although entry requirements are often less restrictive than top-tier enterprise DSPs.

Final verdict

Viant Technology is best understood as an identity-first DSP that prioritises audience precision over sheer marketplace scale.

It performs strongest in environments where deterministic targeting is a priority and where advertisers want tighter control over audience continuity across devices.

While it does not compete head-on with the largest global DSP ecosystems in breadth, it remains a strategically relevant option for advertisers who value identity integrity as a core performance lever.

12. Jampp

Why it stands out

Jampp is one of the more specialised players in programmatic advertising, built specifically around mobile growth and performance marketing rather than trying to be a generalist DSP across every channel.

Where many platforms attempt to cover the entire ecosystem — display, CTV, audio, DOOH — Jampp has stayed intentionally focused on mobile app acquisition and re-engagement. That focus shows up in its optimisation models, which are heavily oriented around in-app events, retention signals, and post-install value rather than surface-level click metrics.

The platform has also built strong capabilities around predictive bidding for mobile users, particularly in environments where user acquisition costs are volatile and lifetime value forecasting matters more than raw install volume.

In practice, Jampp is often used alongside broader DSP stacks rather than replacing them, acting as a specialist performance engine for mobile-first advertisers.

Best fit for

• Mobile app advertisers focused on user acquisition
• Gaming, fintech, and subscription-based apps
• Performance marketers optimising for LTV, not installs
• Growth teams running large-scale mobile campaigns
• Advertisers combining DSP activity with app marketing stacks

Key strengths

• Strong mobile-first performance optimisation models
• Advanced in-app event tracking and bidding logic
• Effective re-engagement and retargeting capabilities
• Predictive bidding based on user lifetime value
• Solid global reach across mobile inventory
• Good integration with mobile measurement partners
• Highly performance-oriented campaign structure

Potential limitations

Jampp is deliberately narrow in scope, which means it does not function as a full omnichannel DSP. Advertisers looking for broad cross-channel activation across CTV, desktop, and native environments will need complementary platforms.

Its value is also heavily dependent on strong mobile measurement infrastructure. Without clean event tracking and attribution setup, the optimisation advantages are significantly reduced.

For non-mobile-first advertisers, the platform is often not central to media strategy.

Pricing & commercial model

Jampp typically operates on performance-aligned pricing models, with costs tied to mobile acquisition outcomes and campaign scale.

It is generally accessible to mid-sized and enterprise app advertisers, particularly those already investing heavily in paid user acquisition.

Managed support is commonly provided, especially for larger-scale growth accounts.

Final verdict

Jampp is best understood as a mobile performance specialist rather than a general-purpose programmatic DSP.

Its strength lies in turning mobile behavioural signals into actionable bidding decisions that prioritise long-term user value over short-term acquisition metrics.

For app-centric advertisers, it plays a highly strategic role — not as a replacement for broader DSPs, but as a precision layer within a larger performance marketing ecosystem.

13. MediaMath

Why it stands out

MediaMath has long been associated with the early evolution of enterprise programmatic buying, particularly during the period when DSPs were transitioning from experimental bidding tools into core components of digital media strategy.

Even after significant restructuring in recent years, the platform’s positioning has remained anchored around transparency, control, and data-driven decisioning for advertisers who want more configurable trading environments than “black box” optimisation systems tend to offer.

Where MediaMath has traditionally stood out is in its emphasis on open architecture and independent decisioning logic. Rather than tightly coupling advertisers to a single ecosystem, it has historically supported more flexible integrations with third-party data, measurement providers, and inventory sources.

In practical terms, MediaMath has often been used by trading teams who prioritise structured control over campaign logic and want to avoid over-reliance on closed advertising ecosystems.

Best fit for

• Enterprise advertisers with mature programmatic teams
• Agencies managing complex, multi-layered trading strategies
• Brands prioritising transparency and configurable decisioning
• Advertisers using multiple data and measurement partners
• Teams running structured, rules-based optimisation frameworks
• Organisations seeking independent DSP alternatives to walled gardens

Key strengths

• Strong emphasis on transparent bidding and decisioning logic
• Flexible integration with third-party data providers
• Suitable for advanced trading desk workflows
• Good support for structured campaign optimisation rules
• Open ecosystem approach to measurement and attribution
• Historically strong enterprise programmatic foundation
• Customisable campaign setup for advanced users

Potential limitations

MediaMath’s market position has been less dominant in recent years compared with leading DSPs such as The Trade Desk or DV360, which can affect ecosystem familiarity and agency preference during platform selection.

The platform is also more suitable for experienced programmatic teams, meaning onboarding can be challenging for organisations without dedicated trading expertise.

Its innovation pace and product visibility have been less consistent than newer or more aggressively scaled DSP competitors.

Pricing & commercial model

MediaMath typically operates on enterprise and agency-based agreements, with pricing structured around media spend, platform access, and service configuration.

It is generally positioned for larger advertisers with established programmatic maturity rather than entry-level self-serve users.

Final verdict

MediaMath remains a legacy enterprise DSP with continued relevance for advertisers who prioritise transparency, configurability, and structured trading control.

While it no longer dominates the market narrative, it still holds value in environments where programmatic execution is treated as a highly engineered, rules-driven discipline rather than a fully automated buying process.

14. RTB House

Why it stands out

RTB House is one of the more distinctive players in programmatic advertising because it built its entire positioning around deep learning long before “AI-driven marketing” became a standard industry claim.

Rather than relying heavily on traditional audience segments or third-party data ecosystems, RTB House focuses on proprietary deep learning models that optimise bidding and creative delivery based on real-time behavioural signals. That approach has made it particularly resilient in a post-cookie environment, where many legacy retargeting strategies have struggled to maintain consistency.

The platform is especially known for its strength in dynamic remarketing, where product-level personalisation and conversion optimisation are central to performance. Over time, it has expanded beyond retargeting into prospecting and full-funnel programmatic activation, but its core strength remains in high-performance conversion environments.

In practice, RTB House often sits alongside broader DSP strategies rather than replacing them, acting as a specialist performance layer focused on efficiency and conversion depth.

Best fit for

• Ecommerce and retail advertisers
• Performance marketing teams focused on conversions
• Brands running dynamic product advertising
• Advertisers seeking cookie-independent retargeting solutions
• Mid-market and enterprise ecommerce businesses
• Teams optimising for ROAS-driven campaigns

Key strengths

• Strong deep learning-based bidding models
• High-performance dynamic retargeting capabilities
• Effective cookieless advertising approach
• Strong ecommerce and product feed optimisation
• Good conversion-focused campaign outcomes
• Scalable performance marketing infrastructure
• Reliable full-funnel optimisation for retail brands

Potential limitations

RTB House is highly specialised, which means it is not designed to function as a broad omnichannel DSP for brand storytelling, complex cross-channel media orchestration, or large-scale upper-funnel campaigns.

Advertisers looking for extensive inventory diversity across CTV, audio, DOOH, and broad open-web activation may need to pair it with a more generalist DSP.

Its strongest performance is concentrated in environments where conversion events are clearly defined and trackable.

Pricing & commercial model

RTB House typically operates on performance-based or managed-service models, with pricing tied closely to campaign scale and outcomes such as conversions or ROAS targets.

It is generally accessible to mid-market and enterprise advertisers, particularly those with established ecommerce operations.

Final verdict

RTB House is best understood as a specialist deep learning performance engine rather than a general-purpose DSP.

Its strength lies in driving conversion efficiency through advanced modelling and dynamic creative optimisation, particularly in ecommerce environments where product-level relevance is critical.

For advertisers focused on measurable performance outcomes, it remains one of the most technically distinct alternatives within the broader programmatic ecosystem.

15. Nexxen

Why it stands out

Nexxen represents the evolution of a number of legacy programmatic and video advertising capabilities into a more unified, data-led advertising platform with a strong emphasis on cross-screen video and audience intelligence.

What makes Nexxen interesting in the current landscape is its heritage in video-centric advertising infrastructure combined with its ongoing push toward integrating data, identity, and supply-side capabilities into a more cohesive ecosystem. That blend positions it slightly differently from pure-play DSPs, particularly in environments where video planning and audience measurement are tightly linked.

Its strongest use cases continue to sit around omnichannel video activation, including connected TV, online video, and broader cross-device reach planning. Rather than focusing purely on bid-level optimisation, the platform tends to emphasise audience understanding and media unification across screens.

In practical terms, Nexxen is often used in media strategies where video is the primary narrative driver and programmatic execution is layered on top of broader planning and measurement needs.

Best fit for

• Video-first and CTV-heavy advertisers
• Brands running cross-screen awareness campaigns
• Large consumer-facing advertisers
• Agencies managing integrated TV and digital video strategies
• Advertisers prioritising audience reach and frequency management
• Organisations transitioning from linear TV to digital video ecosystems

Key strengths

• Strong connected TV and online video capabilities
• Unified approach to data, audience, and media activation
• Good fit for cross-screen campaign planning
• Established infrastructure for video advertising delivery
• Useful for reach and frequency optimisation
• Strong alignment with upper-funnel brand campaigns
• Integrated ecosystem across video and data components

Potential limitations

Nexxen is not primarily positioned as a performance-first DSP, particularly for advertisers focused on highly granular bidding optimisation or aggressive lower-funnel efficiency strategies.

Its strengths are more concentrated in video, planning, and audience-level intelligence than in deep supply-path optimisation or highly technical trading desk workflows.

For advertisers seeking best-in-class performance marketing capabilities, it is typically used alongside more specialised DSPs rather than as a standalone core buying platform.

Pricing & commercial model

Nexxen generally operates on enterprise and managed-service commercial structures, with pricing dependent on media scale, video inventory usage, and data activation requirements.

It is primarily positioned for mid-market to enterprise advertisers with meaningful investment in video and cross-screen media.

Final verdict

Nexxen sits at the intersection of video advertising, audience data, and programmatic activation, making it particularly relevant for advertisers building cross-screen strategies.

While it is not a pure performance DSP, its strength lies in unifying video-centric media planning and activation across channels, especially in environments where TV and digital convergence is a core strategic priority.

For video-led advertisers, it remains a meaningful — if specialised — component of the broader programmatic ecosystem.

Programmatic performance is ultimately a platform architecture decision, not just a media choice

Programmatic advertising platforms often look similar on paper, but they behave very differently once campaigns scale. The real separation comes down to how each system balances automation with control, transparency with abstraction, and ecosystem access with independence.

These differences become most visible in live trading environments, where optimisation speed, data activation, and supply-path visibility directly affect performance. Some platforms prioritise ease and integration, while others expose deeper layers of control for experienced trading teams.

As programmatic budgets expand across CTV, retail media, and open-web inventory, platform selection becomes less about feature sets and more about structural fit. The wrong alignment typically leads to inefficiencies long before media strategy or creative execution becomes the issue.

For advertisers looking to audit their current DSP stack, improve programmatic efficiency, or build a more effective omnichannel media strategy, reach out to Munro Agency to translate platform capability into measurable performance outcomes.