Demand-Side Platform (DSP): How It Works, Benefits, and Examples
Tatev Malkhasyan
November 18, 2025
12
minutes read
Legacy media buying methods simply can't compete, which is why over 85% of all digital display ads are now purchased programmatically. This definitive guide cuts through the noise to explore the Demand-Side Platform (DSP)—the essential engine powering this shift. We'll break down exactly how a DSP works, reveal its proven benefits for efficiency and ROI, and provide real-world examples to help you harness its power for scalable, data-driven advertising.
Media buying used to mean manual negotiations, fixed-rate contracts, and a lot of guesswork.
The era is over. In its place, a new standard has emerged—one defined by automation, precision, and data-driven results. At the heart of this revolution is the demand-side platform (DSP).
So, what is a DSP? In simple terms, it's the control center for advertisers. A DSP in digital marketing is a sophisticated software platform that allows media buyers to purchase digital ad inventory across a vast network of websites, apps, and connected TV (CTV DSP) channels through a single, unified interface. It is the primary tool that has transformed media buying from a manual, relationship-driven process into a strategic, data-driven function.
This automated process, known as programmatic media buying, has fundamentally reshaped the programmatic ecosystem.
But how did we get here? DSPs revolutionized advertising by replacing cumbersome manual processes with real-time, AI-powered auctions. Instead of negotiating with individual publishers, marketers can now use a DSP platform to bid on millions of ad impressions in the blink of an eye through RTB (Real-Time Bidding) on an ad exchange. This shift isn't just a minor upgrade; it's a complete transformation of online advertising, enabling unprecedented efficiency and scale.
💡 But not all DSPs are created equal. Many operate as "walled gardens," optimizing for their own platform's revenue rather than your unique business goals. At AI Digital, we built our Open Garden philosophy to challenge this. We believe in a neutral, transparent ecosystem where technology serves your strategy, not the other way around. Understanding the core mechanics of a DSP is the first step to unlocking this potential.
This article is your definitive guide to understanding how DSP works and why it has become non-negotiable for data-driven strategies in 2026. We’ll break down the core components of a programmatic DSP, explore the tangible DSP benefits for campaign performance, and clarify its role in the broader landscape (including the classic DSP vs SSP dynamic).
⚡We'll also look at demand-side platform examples and provide best practices for leveraging DSP advertising to power successful omnichannel advertising campaigns.
What is a Demand-Side Platform (DSP)?
At its core, a demand-side platform (DSP) is the advertiser's command center for the digital world. It’s a centralized piece of software that enables media buyers to purchase ad inventory from a multitude of sources—including websites, mobile apps, and Connected TV (CTV DSP) services—all at once. Think of it as a sophisticated, automated stock trading platform, but instead of stocks, you're buying highly specific ad impressions.
This entire process happens within the broader programmatic ecosystem, a complex but beautifully efficient network of technologies. The DSP doesn't operate in a vacuum; it connects seamlessly with SSPs (Supply-Side Platforms)—the tools publishers use to sell their ad space—through a central marketplace called an ad exchange.
💡 This connection is the engine of modern programmatic media buying, allowing for data-driven decisions to be made in milliseconds. At AI Digital, we've analyzed this process across thousands of campaigns, giving us unique insight into how to maximize its efficiency and transparency for advertisers.
How a DSP Works
Understanding how DSP works is key to unlocking its potential. The process, while powered by complex technology, is straightforward from an advertiser's perspective:
This high-speed process demonstrates the core power of a DSP: transforming strategic goals into real-time media investments. While this entire automated workflow is what we call programmatic advertising, it's crucial to remember that the lightning-fast auction itself—Real-Time Bidding (RTB)—is a specific method within that broader system.
⚡ Not all programmatic buying uses RTB, and understanding this distinction is key to mastering your advertising strategy on Programmatic vs. RTB.
DSP vs SSP vs Ad Exchange
It's easy to get these three pillars of the programmatic ecosystem confused, but their roles are distinct:
In essence, the DSP vs SSP dynamic is a symbiotic relationship: the DSP represents advertiser demand, the SSP represents publisher supply, and the ad exchange is the arena where they meet.
Core Components of a DSP
A demand-side platform may seem like a single tool, but it's actually a powerful stack of integrated technologies. Knowing its core components demystifies how DSP works and reveals the source of its efficiency.
The Role of AI in Modern DSPs
While the foundational components of a DSP are powerful, the way AI is transforming demand-side platforms represents the true frontier of programmatic advertising. Our deep analysis of thousands of campaigns has given us an unparalleled understanding of how AI in advertising moves beyond simple automation to power predictive bidding, dynamic audience discovery, and creative optimization at a scale impossible for humans alone. This expertise is foundational to our platform.
Through bidding accuracy, AI algorithms analyze historical and real-time data to predict the true value of an impression, ensuring you don't overpay and win the most valuable opportunities.
Instead of manually creating static segments, automated audience segmentation can dynamically identify and target new, high-value audience clusters you may have missed, based on shared behaviors and conversion patterns.
By forecasting future user behavior and market trends, predictive modeling allows your campaigns to be proactive, allocating budget toward users most likely to convert down the funnel.
10 Benefits of Using a DSP
Embracing a demand-side platform is no longer a luxury for advanced advertisers; it's a necessity for competitive online advertising. The DSP benefits translate directly into tangible business outcomes, from enhanced efficiency to superior ROI.
1. Centralized Campaign Management
Imagine managing all your online advertising from a single dashboard. A demand-side platform eliminates the chaos of multiple logins and reports by unifying your buys across countless sites and apps. This centralization is a core DSP benefit, saving you immense time and providing a holistic view of your programmatic media buying strategy. Instead of juggling platforms, you gain streamlined control, making your workflow more efficient and your strategy more cohesive.
2. Real-Time Optimization and Bidding
At the heart of how DSP works is RTB (Real-Time Bidding). The DSP platform evaluates each ad impression as it becomes available, instantly deciding its value to your campaign based on your goals. This means your budget is allocated toward high-value users in the moment, not spread evenly.
This automated, data-driven process is what makes programmatic advertising DSP so efficient, ensuring you get the most impact from every dollar spent.
3. Advanced Audience Targeting
Move beyond basic demographics. A key advantage of DSP marketing is the ability to leverage deep data insights. You can target users based on their browsing behavior, purchase intent, or your own first-party data. This precision ensures your ads reach the most relevant audience, dramatically improving engagement rates and conversion potential. This sophisticated targeting is a primary reason DSPs are essential for data-driven strategies.
4. Access to Premium Inventory
Through its connections to multiple ad exchanges and supply-side platforms, a DSP provides a vast marketplace of ad inventory. This includes premium placements on top-tier news sites, popular mobile apps, and high-engagement CTV DSP channels. You get immense scale and quality, all accessible from a single platform. However, not all inventory is equal. The key challenge for advertisers is ensuring this scale doesn't come at the cost of quality, brand safety, or performance.
This is where supply path optimization becomes critical. At AI Digital, we've addressed this directly with our Smart Supply. This is a curated, transparent supply chain that filters out low-quality and fraudulent sites while prioritizing direct partnerships with premium publishers. It ensures your ads run in brand-safe, high-viewability environments, maximizing the impact of every impression.
⚡ For a closer look at how we ensure inventory quality and drive superior results, explore our Smart Supply.
5. Transparent Reporting and Analytics
Knowledge is power. A programmatic DSP provides comprehensive, unified reporting across all your campaigns and channels. You can see exactly which audiences, creatives, and placements are driving results—from impressions to conversions. This transparency is a fundamental DSP benefit, removing the guesswork and empowering you with the insights needed for true data-driven decision-making and proving campaign ROI.
6. Cross-Channel Performance
Modern consumer journeys are fragmented. A DSP empowers true omnichannel advertising, allowing you to seamlessly engage users across CTV, OTT, mobile, and DOOH from one interface. You can coordinate messaging and frequency caps to create a unified brand experience, no matter where your audience is.
7. Brand Safety and Fraud Protection
Protecting your brand is non-negotiable. Leading DSP platforms integrate advanced tools that allow you to block your ads from appearing beside unsuitable content. Furthermore, they employ sophisticated filters to detect and prevent invalid traffic (IVT), ensuring your budget is spent on real human audiences. This built-in protection is a critical component of trustworthy demand side platform advertising.
8. Cost Efficiency and Scalable ROI
By automating the programmatic media buying process, DSPs drastically reduce manual labor and operational overhead. More importantly, the efficiency of RTB and AI-driven optimization ensures you pay the fairest price for each impression. This combination of lower operational costs and smarter media spending directly translates into a more scalable and improved return on advertising investment.
9. Integration with AI and Predictive Algorithms
This is where modern DSPs truly shine. The integration of AI in advertising allows these platforms to analyze vast datasets to predict user behavior and optimal bid prices. This means your campaigns automatically improve over time, learning to target better and bid smarter without constant manual intervention, maximizing performance.
10. Data-Driven Decision-Making and Transparency
Ultimately, every DSP benefit feeds into this final advantage. A DSP platform provides the data, control, and clarity you need to understand the entire customer journey. This end-to-end transparency allows you to make strategic, informed decisions that prove campaign impact and guide your entire marketing strategy forward with confidence.
Examples of Demand-Side Platforms
When building your DSP platforms list, several leading demand-side platform examples stand out, each with unique strengths. Understanding these differences is crucial for selecting the right programmatic DSP for your strategy.
How to Choose the Right DSP for Your Business
Selecting from the best demand side platforms requires a strategic evaluation of your business needs. Your choice will fundamentally shape your programmatic advertising DSP capabilities and ROI. Here are the key criteria to consider:
First, assess Channel Access. Not all dsps advertising are created equal. If your strategy hinges on Connected TV, ensure the DSP has a strong CTV DSP offering and relationships with premium publishers. Similarly, verify support for other critical channels like mobile in-app and audio. For true omnichannel advertising, confirm robust capabilities in Digital Out-of-Home (DOOH), which uses programmatic technology to place dynamic, contextually relevant ads on screens in physical locations like transit hubs, offices, and retail stores, bridging the digital and physical worlds.
Second, scrutinize Data and AI Capabilities. The core of modern DSP marketing is intelligence. Evaluate how the DSP platform integrates your first-party data and what third-party data marketplaces it connects to. Crucially, probe its AI in advertising features—look for predictive bidding, automated audience segmentation, and advanced optimization algorithms that go beyond basic RTB.
Third, examine the User Interface and Reporting. A powerful DSP is useless if your team finds it incomprehensible. The interface should provide transparent, intuitive controls for campaign setup and real-time optimization. Reporting must offer clear, actionable insights into performance across all channels, enabling true data-driven decisions.
Finally, understand the Pricing Model and Support. DSP pricing can vary (e.g., percentage-of-spend, fixed fees). Clarify all costs upfront. Equally important is the level of service support offered. Determine if you need strategic guidance from the vendor or if your team possesses the expertise to manage the DSP in digital marketing independently.
Navigating these criteria to find a single perfect DSP can be challenging, as each platform has unique strengths.
⚡ Learn how a DSP-agnostic strategy can provide a significant edge in today's fragmented media landscape.
How to Evaluate DSP Vendors Effectively
Choosing the right demand-side platform is a strategic decision that can define your programmatic success.
How DSPs Fit into the Programmatic Ecosystem
A demand-side platform (DSP) is not a standalone tool; it's a vital component in a sophisticated, automated advertising machine. To truly grasp how DSP works, you need to see how it interacts with other key technologies in the programmatic ecosystem to form full-funnel automation loop.
This entire process—from user visit to ad display—happens in under 100 milliseconds. The DSP vs SSP relationship is not a rivalry but a symbiotic one: the SSP represents the seller's interest, the DSP the buyer's interest, and the ad exchange is the neutral arena where they meet.
💡This creates a powerful, automated loop.
Data from past campaigns informs the DSP's future bidding decisions, constantly refining targeting and optimization.
⚡ This is what makes programmatic media buying through a DSP so efficient, transforming scattered ad buys into a cohesive, data-driven strategy that drives performance from top to bottom of the funnel.
Emerging DSP Trends in 2025–2026
The programmatic landscape is undergoing its most significant transformation in a decade. The convergence of privacy regulations, technological shifts, and evolving consumer habits is reshaping DSP advertising. For marketers, staying ahead of these DSP trends is critical for maintaining competitive advantage. According to AI Digital's comprehensive 2025 Media Trends Report, several key developments are defining the future of programmatic DSP:
CTV advertising spend is projected to grow by 28% year-over-year, making a sophisticated CTV DSP strategy non-negotiable for reaching modern audiences.
Campaigns leveraging advanced AI in advertising within their DSP are seeing average performance improvements of 35-50% in key metrics like cost-per-acquisition compared to traditional methods.
With 85% of marketers now prioritizing first-party data, DSPs that excel at integrating these assets and contextual targeting are pulling ahead.
A significant 74% of brands now have formal sustainability goals for their media investments, making carbon-efficient programmatic buying a key differentiator for the best demand side platforms.
💡 These trends underscore a fundamental shift: the DSP platform is evolving from a simple execution tool into an intelligent, strategic partner. Success in 2025 and beyond will belong to marketers who leverage these platforms not just for buying media, but for navigating privacy changes, harnessing AI-driven insights, and building sustainable, future-proof advertising strategies.
The deprecation of third-party cookies is fundamentally changing online advertising (source: navigate the transition with our guide to the cookieless world here).
DSPs are pivoting from tracking users across the web to a new model built on authenticated identities and environmental signals.
Over 80% of marketers are now actively investing in first-party data strategies, according to a recent IAB report. Modern programmatic DSP platforms are no longer just bidding engines; they are becoming data hubs. They are developing sophisticated tools for brands to seamlessly onboard and activate their customer data. Simultaneously, AI in advertising is revolutionizing contextual targeting, moving beyond simple keywords to understand page-level sentiment and video content, ensuring ads are both relevant and privacy-compliant.
CTV and DOOH Expansion
Connected TV (CTV DSP) and Digital Out-of-Home (DOOH) are no longer niche channels.
They are becoming central pillars of omnichannel advertising strategies, offering premium, high-attention inventory.
US CTV ad spending is projected to surpass $30 billion in 2025, with programmatic making up over 70% of that spend (source: eMarketer). The DSP platform is the logical command center for these channels. Advertisers can now use a single DSP to buy CTV inventory and programmatic DOOH screens, applying advanced audience targeting and frequency capping across the entire customer journey, from the living room to the city street.
Unified ID Frameworks
In the absence of universal cookies, the industry is developing alternative, privacy-conscious identifiers. These "Unified IDs" are built on hashed email addresses or other consented user data. A recent study found that campaigns using authenticated identities saw a 25%+ higher conversion rate compared to those relying on traditional cookies.
The best demand side platforms are aggressively integrating with multiple ID solutions (e.g., Unified ID 2.0, LiveRamp's RampID). This allows for persistent and accurate targeting across different websites and apps, preserving the scalability and effectiveness of programmatic media buying in a privacy-first era.
Transparency & Sustainability
Advertisers are demanding full visibility into where their ads run and the carbon footprint of their digital campaigns. This goes beyond brand safety to encompass ethical and environmental impact.
A WFA survey revealed that 74% of brands now have a stated objective to reduce emissions from their media supply chain. Leading DSPs are responding with "green media" product features that estimate and lower the carbon emissions of ad auctions. They are also providing deeper supply path optimization (SPO) tools, allowing advertisers to choose the most direct and efficient routes to premium inventory, which saves costs and reduces environmental waste.
AI-Driven Media Planning
AI in advertising is evolving from a post-bid optimization tool to a pre-campaign planning partner. It can now forecast performance, recommend optimal budget allocation across channels, and predict future audience trends.
AI engines within DSP platforms can analyze historical data and market conditions to answer "what-if" scenarios, advising marketers on how to allocate their budget across a CTV DSP, mobile, and DOOH to maximize overall ROI before a single dollar is spent.
Conclusion: Why DSPs Are the Backbone of Modern Digital Advertising
Throughout this guide, we've explored the power of a modern DSP: centralized control, AI-driven optimization, and transparent, outcome-based buying. AI Digital's Elevate platform is the embodiment of these principles, designed not just to keep up with the trends but to define them.
Elevate is more than a DSP; it's an AI-powered marketing intelligence platform that serves as your strategic command center. It addresses the critical flaws in traditional programmatic advertising DSP—fragmented data, black-box algorithms, and platform self-interest—by providing a fully transparent, multi-dimensional AI solution.
How Elevate Transforms DSP Advertising?
Predictive Planning with 95% Confidence: Our Elevate Planner uses insights from 10,000+ campaigns to provide DSP-agnostic recommendations, allowing you to forecast results and allocate budget with unprecedented accuracy before your campaign even begins.
KPI-Obsessed Optimization: The Elevate Optimization engine refines bidding and budget distribution every 15 minutes, making real-time adjustments aligned with your actual business goals, not just clicks and impressions.
Unified Insights & Accountability: With Elevate Insights, you get real-time reporting powered by an AI Accountability Score and a proprietary AI assistant, turning complex data into plain-language, actionable strategies.
Early adopters have already seen measurable results, including a +23% improvement in media efficiency and a +16% reduction in cost per acquisition (CPA).
⚡ Discover how AI Digital's Elevate platform can transform your media buying. Learn more and request a demo today.
Blind spot
Key issues
Business impact
AI Digital solution
Lack of transparency in AI models
• Platforms own AI models and train on proprietary data • Brands have little visibility into decision-making • "Walled gardens" restrict data access
• Inefficient ad spend • Limited strategic control • Eroded consumer trust • Potential budget mismanagement
Open Garden framework providing: • Complete transparency • DSP-agnostic execution • Cross-platform data & insights
Optimizing ads vs. optimizing impact
• AI excels at short-term metrics but may struggle with brand building • Consumers can detect AI-generated content • Efficiency might come at cost of authenticity
• Short-term gains at expense of brand health • Potential loss of authentic connection • Reduced effectiveness in storytelling
Smart Supply offering: • Human oversight of AI recommendations • Custom KPI alignment beyond clicks • Brand-safe inventory verification
The illusion of personalization
• Segment optimization rebranded as personalization • First-party data infrastructure challenges • Personalization vs. surveillance concerns
• Potential mismatch between promise and reality • Privacy concerns affecting consumer trust • Cost barriers for smaller businesses
Elevate platform features: • Real-time AI + human intelligence • First-party data activation • Ethical personalization strategies
AI-Driven efficiency vs. decision-making
• AI shifting from tool to decision-maker • Black box optimization like Google Performance Max • Human oversight limitations
• Strategic control loss • Difficulty questioning AI outputs • Inability to measure granular impact • Potential brand damage from mistakes
Managed Service with: • Human strategists overseeing AI • Custom KPI optimization • Complete campaign transparency
Fig. 1. Summary of AI blind spots in advertising
Dimension
Walled garden advantage
Walled garden limitation
Strategic impact
Audience access
Massive, engaged user bases
Limited visibility beyond platform
Reach without understanding
Data control
Sophisticated targeting tools
Data remains siloed within platform
Fragmented customer view
Measurement
Detailed in-platform metrics
Inconsistent cross-platform standards
Difficult performance comparison
Intelligence
Platform-specific insights
Limited data portability
Restricted strategic learning
Optimization
Powerful automated tools
Black-box algorithms
Reduced marketer control
Fig. 2. Strategic trade-offs in walled garden advertising.
Core issue
Platform priority
Walled garden limitation
Real-world example
Attribution opacity
Claiming maximum credit for conversions
Limited visibility into true conversion paths
Meta and TikTok's conflicting attribution models after iOS privacy updates
Data restrictions
Maintaining proprietary data control
Inability to combine platform data with other sources
Amazon DSP's limitations on detailed performance data exports
Cross-channel blindspots
Keeping advertisers within ecosystem
Fragmented view of customer journey
YouTube/DV360 campaigns lacking integration with non-Google platforms
Black box algorithms
Optimizing for platform revenue
Reduced control over campaign execution
Self-serve platforms using opaque ML models with little advertiser input
Performance reporting
Presenting platform in best light
Discrepancies between platform-reported and independently measured results
Consistently higher performance metrics in platform reports vs. third-party measurement
Fig. 1. The Walled garden misalignment: Platform interests vs. advertiser needs.
Key dimension
Challenge
Strategic imperative
ROAS volatility
Softer returns across digital channels
Shift from soft KPIs to measurable revenue impact
Media planning
Static plans no longer effective
Develop agile, modular approaches adaptable to changing conditions
Brand/performance
Traditional division dissolving
Create full-funnel strategies balancing long-term equity with short-term conversion
Capability
Key features
Benefits
Performance data
Elevate forecasting tool
• Vertical-specific insights • Historical data from past economic turbulence • "Cascade planning" functionality • Real-time adaptation
• Provides agility to adjust campaign strategy based on performance • Shows which media channels work best to drive efficient and effective performance • Confident budget reallocation • Reduces reaction time to market shifts
• Dataset from 10,000+ campaigns • Cuts response time from weeks to minutes
• Reaches people most likely to buy • Avoids wasted impressions and budgets on poor-performing placements • Context-aligned messaging
• 25+ billion bid requests analyzed daily • 18% improvement in working media efficiency • 26% increase in engagement during recessions
Full-funnel accountability
• Links awareness campaigns to lower funnel outcomes • Tests if ads actually drive new business • Measures brand perception changes • "Ask Elevate" AI Chat Assistant
• Upper-funnel to outcome connection • Sentiment shift tracking • Personalized messaging • Helps balance immediate sales vs. long-term brand building
• Natural language data queries • True business impact measurement
Open Garden approach
• Cross-platform and channel planning • Not locked into specific platforms • Unified cross-platform reach • Shows exactly where money is spent
• Reduces complexity across channels • Performance-based ad placement • Rapid budget reallocation • Eliminates platform-specific commitments and provides platform-based optimization and agility
• Coverage across all inventory sources • Provides full visibility into spending • Avoids the inability to pivot across platform as you’re not in a singular platform
Fig. 1. How AI Digital helps during economic uncertainty.
Trend
What it means for marketers
Supply & demand lines are blurring
Platforms from Google (P-Max) to Microsoft are merging optimization and inventory in one opaque box. Expect more bundled “best available” media where the algorithm, not the trader, decides channel and publisher mix.
Walled gardens get taller
Microsoft’s O&O set now spans Bing, Xbox, Outlook, Edge and LinkedIn, which just launched revenue-sharing video programs to lure creators and ad dollars. (Business Insider)
Retail & commerce media shape strategy
Microsoft’s Curate lets retailers and data owners package first-party segments, an echo of Amazon’s and Walmart’s approaches. Agencies must master seller-defined audiences as well as buyer-side tactics.
AI oversight becomes critical
Closed AI bidding means fewer levers for traders. Independent verification, incrementality testing and commercial guardrails rise in importance.
Fig. 1. Platform trends and their implications.
Metric
Connected TV (CTV)
Linear TV
Video Completion Rate
94.5%
70%
Purchase Rate After Ad
23%
12%
Ad Attention Rate
57% (prefer CTV ads)
54.5%
Viewer Reach (U.S.)
85% of households
228 million viewers
Retail Media Trends 2025
Access Complete consumer behaviour analyses and competitor benchmarks.
Identify and categorize audience groups based on behaviors, preferences, and characteristics
Michaels Stores: Implemented a genAI platform that increased email personalization from 20% to 95%, leading to a 41% boost in SMS click through rates and a 25% increase in engagement.
Estée Lauder: Partnered with Google Cloud to leverage genAI technologies for real-time consumer feedback monitoring and analyzing consumer sentiment across various channels.
High
Medium
Automated ad campaigns
Automate ad creation, placement, and optimization across various platforms
Showmax: Partnered with AI firms toautomate ad creation and testing, reducing production time by 70% while streamlining their quality assurance process.
Headway: Employed AI tools for ad creation and optimization, boosting performance by 40% and reaching 3.3 billion impressions while incorporating AI-generated content in 20% of their paid campaigns.
High
High
Brand sentiment tracking
Monitor and analyze public opinion about a brand across multiple channels in real time
L’Oréal: Analyzed millions of online comments, images, and videos to identify potential product innovation opportunities, effectively tracking brand sentiment and consumer trends.
Kellogg Company: Used AI to scan trending recipes featuring cereal, leveraging this data to launch targeted social campaigns that capitalize on positive brand sentiment and culinary trends.
High
Low
Campaign strategy optimization
Analyze data to predict optimal campaign approaches, channels, and timing
DoorDash: Leveraged Google’s AI-powered Demand Gen tool, which boosted its conversion rate by 15 times and improved cost per action efficiency by 50% compared with previous campaigns.
Kitsch: Employed Meta’s Advantage+ shopping campaigns with AI-powered tools to optimize campaigns, identifying and delivering top-performing ads to high-value consumers.
High
High
Content strategy
Generate content ideas, predict performance, and optimize distribution strategies
JPMorgan Chase: Collaborated with Persado to develop LLMs for marketing copy, achieving up to 450% higher clickthrough rates compared with human-written ads in pilot tests.
Hotel Chocolat: Employed genAI for concept development and production of its Velvetiser TV ad, which earned the highest-ever System1 score for adomestic appliance commercial.
High
High
Personalization strategy development
Create tailored messaging and experiences for consumers at scale
Stitch Fix: Uses genAI to help stylists interpret customer feedback and provide product recommendations, effectively personalizing shopping experiences.
Instacart: Uses genAI to offer customers personalized recipes, mealplanning ideas, and shopping lists based on individual preferences and habits.
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Questions? We have answers
How does a DSP differ from an ad network?
While both are used for buying ads, a demand-side platform (DSP) and an ad network operate fundamentally differently. An ad network is a bundled, often opaque intermediary that sells pre-packaged ad inventory at a fixed price. A DSP platform, in contrast, provides direct, transparent access to multiple ad exchanges and SSPs through real-time bidding (RTB). This gives advertisers using a programmatic DSP unparalleled control over exactly where their ads appear, who sees them, and what price they pay for each impression, all driven by data and AI.
How do DSPs improve campaign performance?
DSPs enhance performance through automation, precision, and intelligence. They leverage AI in advertising to analyze millions of data points in real-time, making micro-optimizations for bids, budgets, and targeting that are impossible to do manually. Key DSP benefits include:
Real-time optimization via RTB.
Advanced audience targeting using first-party and third-party data.
Cross-channel frequency capping to prevent ad fatigue.
Transparent reporting that shows exactly which strategies drive ROI.
Can small businesses use DSPs or are they enterprise-only?
Yes, small businesses can absolutely use DSPs. While early DSP platforms catered to large enterprises, the market has evolved. Many DSPs now offer user-friendly interfaces, flexible budget minimums, and managed services that make programmatic advertising DSP accessible to businesses of all sizes. The key for smaller teams is to look for platforms that balance sophisticated capabilities with ease of use and strong customer support.
What is the best demand side platform?
There is no single "best" demand-side platform for every advertiser. The right choice depends entirely on your specific needs, including: Channel focus (e.g., CTV DSP, mobile, DOOH).
Data integration capabilities.
Budget and pricing model.
Ease of use and support requirements.
Leading DSP examples often include platforms like The Trade Desk, Google DV360, and Amazon DSP, each with distinct strengths. The best approach is to evaluate vendors based on how well their specific features align with your marketing objectives.
Is Demandbase a DSP?
Demandbase is primarily known as an Account-Based Marketing (ABM) platform. While it incorporates programmatic advertising capabilities to execute ad campaigns targeted at specific B2B accounts, it is not traditionally categorized as a standalone, multi-purpose DSP like The Trade Desk. Its advertising functionality is one component within a larger ABM suite focused on B2B sales and marketing alignment.
Is Google a DSP?
Yes, Google operates one of the world's largest and most powerful DSPs: Google Display & Video 360 (DV360). It is a full-featured demand-side platform that allows advertisers to buy inventory across the open web, including access to YouTube, and connect it with Google's extensive data and analytics ecosystem. It is a dominant player in the programmatic ecosystem.
Have other questions?
If you have more questions, contact us so we can help.