DSP vs. SSP vs. Ad Exchange: understanding the differences in programmatic advertising
Sarah Moss
October 13, 2025
21
minutes read
Programmatic advertising powers most digital ad transactions, yet the technology behind it remains opaque to many marketers and publishers. Three platforms form the backbone of this automated ecosystem, each serving distinct functions that determine how billions of ad impressions trade hands every day.
This article is a practical map of the programmatic stack—what a DSP does for buyers, what an SSP does for sellers, and how an ad exchange runs the auction between them. We’ll spell out the benefits on each side, the key differences (purpose, users, data access, pricing, and control), how these systems work together in real time, and where they’re headed as identity changes and supply-path choices reshape trading. You’ll also see what this means for transparency and ROI, with clear actions you can take.
Why now? Several forces have raised the stakes. First, the market’s scale keeps climbing: 2024 set a new revenue high in the US. Second, more than four in five nonsocial programmatic display dollars are set to transact via programmatic direct and PMPs this year and next, reflecting a shift toward curated supply and tighter control. Understanding each layer—buy side, sell side, and the auction—helps you choose cleaner paths, pay the right price for the right impression, and prove outcomes.
Digital ad revenue growth by ad category (Source).
What is a DSP (demand-side platform)?
A demand-side platform (DSP) is software that lets advertisers and agencies buy digital ad impressions automatically across many publishers and exchanges in one place. DSPs ingest bid requests, apply your targeting and budget rules, and bid in real time for impressions that match your criteria. Industry bodies describe DSPs as tools that let buyers purchase impressions across publisher sites, often via real-time auctions.
⚡ A DSP is the buyer’s cockpit: one login to plan, target, bid, and measure across the open web and CTV.
Advertisers use DSPs to plan and activate campaigns, manage frequency and budgets, plug in first-party and partner data, and report on performance. Well-known examples include Google Display & Video 360 (DV360), The Trade Desk, Amazon DSP, Yahoo DSP, Adobe Advertising DSP, and Roku OneView.
How does a demand-side platform work?
When a page or app requests an ad, the publisher (via an SSP/ad exchange) sends a bid request describing the impression. The DSP evaluates that request against your campaign settings—audience, context, geo, device, creative eligibility, brand-safety rules, pacing and frequency—then decides whether to bid and at what price. If the DSP wins the auction, the ad is served; the DSP then records the impression and subsequent events for optimization and reporting. This process is commonly implemented through OpenRTB real-time auctions.
Operationally, a modern DSP gives teams controls to organize audiences, purchase inventory, and optimize in one interface or via API. Many support open auctions, private marketplace (PMP) deals, and programmatic guaranteed, plus integrations for measurement and creative.
DSP Benefits
Here’s what a modern DSP actually does for a buying team: it centralizes activation across channels, applies your data and guardrails at bid time, and exposes what you paid for and what you got in return. The benefits below are the practical outcomes you can expect when a DSP sits at the center of your programmatic plan.
⚡ Centralize spend, cap frequency across channels, and see exactly what each impression cost and delivered.
Advanced targeting at scale. DSPs let you stitch demographics, interests, devices, geo, and first-party data into precise audiences—then activate across thousands of publishers in one place. The market’s also shifting to curated supply for control: private marketplace buys grew to 59% of programmatic spend in 2024 (vs 41% in 2023), and CTV now represents 28% of programmatic dollars.
Cost efficiency via real-time bidding and cleaner paths. Programmatic efficiency is improving: for every $1,000 entering a DSP, $439 now reaches consumers—up from $360 the prior year—as waste is squeezed out. At the same time, spend on made-for-advertising (MFA) sites dropped from 15% to 6.2%, and the average number of domains/apps per campaign fell from 44,000 to ~23,000.
Transparency and optimization with log-level data. Modern DSPs expose impression-level reporting so you can see where each ad ran, what you paid, and how it performed—fuel for continuous bid, creative, and audience tuning. Industry data shows access to log-level data is expanding, and analysts recommend advertisers request it to uncover optimization opportunities in real time.
Beyond buying: orchestration hubs. As platforms fold in audience building, creative testing, retail/CTV deals, and supply-path controls, the DSP is evolving into a marketing orchestration layer—not just a bidder. The efficiency gains above (higher working media, less MFA, fewer domains) are the early outcomes of that shift.
A supply-side platform (SSP) is software publishers use to manage, package, and sell their ad inventory programmatically across many demand sources (exchanges, DSPs, and direct deals). In practical terms, an SSP connects a publisher’s ad server and inventory controls (floors, formats, brand safety) to the marketplaces where buyers bid, often via OpenRTB. Industry references describe SSPs as the sell-side counterpart to DSPs—built to monetize inventory and prioritize among guaranteed and non-guaranteed demand.
⚡ An SSP is the publisher’s control room: package inventory, set floors, and invite more demand to compete.
Publishers typically work with one or more SSPs to broaden competition and improve yield. Well-known examples include Magnite, PubMatic, Index Exchange, OpenX, and Microsoft Monetize (Xandr).
💡 If you want help on the sell side, Smart Supply builds KPI-driven deal IDs, prefers direct paths over recycled bid streams that inflate CPMs, filters low-performing and indirect supply, and applies IVT protection—while staying DSP-agnostic with rapid activation and no added platform bias or fees.
How does a supply-side platform work?
When a page or app requests an ad, the publisher’s ad server and SSP generate a bid request describing the impression (context, device, user signals where permitted, placement details). The SSP then broadcasts that request via OpenRTB to connected exchanges and DSPs, receives bids, enforces pricing and policy rules (floors, brand suitability), and selects the winning bid for the ad server to render. For direct or curated transactions, SSPs also facilitate private marketplace (PMP), preferred, and programmatic guaranteed deals alongside open auctions.
To increase competition, publishers may run header bidding (client- or server-side) and/or Google Open Bidding, which invites third-party SSPs to compete in a unified auction. Both approaches aim to raise yield by letting more demand see each impression at once.
SSP benefits
An SSP is the publisher’s control room: it packages inventory, opens each impression to qualified demand, and enforces pricing and policy at the moment of auction. Set up well, it lifts yield, protects user experience, and simplifies direct and programmatic deals. The benefits below are what publishers typically see when the SSP is tightly integrated with their ad server and header bidding:
Higher yield from greater competition. Opening each impression to more qualified buyers tends to lift clearing prices. Internal emails surfaced in the DOJ’s Google ad tech case explicitly acknowledge that “header bidding gives publishers better yield,” which is why competing solutions like Open Bidding exist. Google likewise promotes Open Bidding as a way to “bring more bids to the auction” and achieve a higher yield.
Operational efficiency with programmatic direct. When publishers transact guaranteed or preferred deals through their SSP instead of manual IOs, workflows compress. A Boston Consulting Group study cited by Google found publishers save 57% more time using programmatic guaranteed versus traditional reservations (agencies/advertisers save 29%).
Control and brand suitability at the sell side. SSPs expose levers such as price floors, deal prioritization, and creative/category controls that help protect user experience and revenue. IAB guidance frames SSPs as the layer publishers use to manage and monetize inventory while enforcing brand safety and suitability policies across guaranteed and non-guaranteed demand.
Access to scaled, high-growth demand (especially CTV). Programmatic dominates CTV trading: 84.2% of US CTV video ad spend in 2025 is forecast to transact programmatically. For publishers, an SSP is now the practical gateway to that demand across open auctions, PMPs, and PG.
Modern auction mechanics and transparency standards. Current SSPs implement IAB Tech Lab standards (OpenRTB, ads.txt/sellers.json, OM SDK), which improve auditability for buyers and help qualify supply that meets publishers’ policies—supporting monetization over time. The Tech Lab reports broad industry adoption and continued updates to OpenRTB to better support CTV and quality signaling.
💡 If you’re optimizing your sell-side stack, see Smart Supply.
What is an ad exchange?
An ad exchange is an online, auction-driven marketplace where publishers make ad impressions available and buyers bid on them in real time. In practice, buyers (most commonly DSPs, agency trading desks, or ad networks) access the exchange’s marketplace to purchase impressions at auction. Google’s Authorized Buyers documentation defines an exchange exactly this way and notes that DSPs participate as buyers; IAB resources describe exchanges as automated marketplaces connecting multiple parties.
How advertisers access it: most brands don’t connect directly to an exchange; they reach exchange inventory through a DSP that evaluates bid requests and submits bids. Some large buyers (networks/trading desks) integrate directly as Authorized Buyers to the Google exchange or connect to other exchanges’ bidder interfaces.
Examples of major ad exchanges include Google’s Authorized Buyers (formerly AdX), OpenX Ad Exchange, and Index Exchange (one of the largest independent ad exchanges).
An ad exchange runs a real-time auction for every impression. It receives the impression details from the publisher, notifies eligible buyers, collects bids, and returns the winning creative—typically in under a second. The flow looks like this:
When a user is about to see an ad, the publisher (often via an SSP/ad server) sends a bid request to the exchange describing the impression (format, context, device, permitted user signals).
The exchange broadcasts that request to connected buyers (DSPs, trading desks, networks).
Buyers decide in milliseconds whether to bid and at what price based on their targeting and optimization rules.
The exchange runs the auction and returns the winning creative to the publisher to serve. This near-instant transaction is standardized via OpenRTB.
⚡ Every impression triggers a real-time auction. The exchange routes requests to buyers and returns a winner in milliseconds.
Most large exchanges now clear impressions in first-price auctions. Google’s move to a unified first-price auction in Ad Manager showed a neutral to positive impact on publisher revenue and increased the share of wins for third-party demand sources, indicating a more competitive market.
Ad exchange benefits
An ad exchange is the market layer that turns each impression into a competitive auction. It aggregates supply and demand, sets a clear clearing price in real time, and carries open and private deals over the same pipes. In practice, that means broader reach for buyers, stronger competition for sellers, and a cleaner way to transact at scale:
Liquidity and reach at market prices. Exchanges aggregate supply from millions of seller sites and apps, letting buyers compete impression-by-impression. Google notes that Authorized Buyers access a real-time marketplace across “millions of seller sites,” and that buyers can bring their own bidding tech and data to price each impression. The result is broad reach with market-based pricing per opportunity.
Stronger auction mechanics that support fairer outcomes. The shift to unified first-price auctions simplified trading and, in Google’s tests, delivered a neutral to positive effect on total publisher revenue while increasing win share for third-party demand—evidence that a single, transparent clearing mechanism can improve competition.
Flexible deal types on the same pipes. Beyond the open auction, exchanges facilitate preferred deals, private marketplaces (PMPs), and programmatic guaranteed—useful when buyers want curation or guaranteed delivery without leaving programmatic infrastructure. Google’s own materials outline these deal options alongside open auction buying.
Improving transparency signals. Industry efforts to share log-level data and standardize auction reporting are making it easier to audit where money goes. The ANA’s ongoing Programmatic Transparency Benchmark (with TAG TrustNet) reportsmulti-point improvements in “true working media” between 2023 and 2024, attributing gains to cleaner supply paths and better data access—developments that depend on exchange-level data sharing.
DSP vs SSP vs ad exchange: key differences
Here’s the simple way to compare them: a DSP is built for buyers, an SSP is built for sellers, and the ad exchange is the auction floor between them. To make the differences concrete, look at five dimensions—purpose and function, main users, access to inventory and data, pricing models, and optimization and control. Lining these up side by side makes platform selection, KPIs, and contracts far easier to set.
⚡ Think roles: DSP buys, SSP sells, exchange clears. Keep that lens and most decisions get simpler.
Purpose and function
Start with what each platform is built to do: one buys media, one sells it, and one runs the auction that matches the two:
A DSP is the buy-side system advertisers use to plan, target, bid, and measure across many publishers and exchanges in one place. Google’s Display & Video 360 documentation explicitly frames DV360 as the hub to “purchase inventory” and “optimize campaigns,” which is the essence of a DSP’s job.
An SSP is the sell-side system publishers use to package and sell their inventory programmatically, connect to multiple demand sources, set floors and policies, and run open and private auctions. Google’s Open Bidding help page and leading SSPs describe this role: inviting third-party SSPs/exchanges to compete in a single auction to improve yield.
An ad exchange is the marketplace layer where buy and sell orders meet in real time via OpenRTB. It routes bid requests from SSPs/publishers to buyers (usually DSPs), runs the auction, and returns the winning creative. IAB Tech Lab defines RTB’s auction mechanics, and Google’s Authorized Buyers describes the exchange as an “online, auction-driven marketplace.”
Main users (advertisers vs publishers)
Who’s at the controls matters. This section clarifies which teams operate each platform and the KPIs they’re accountable for:
DSPs: used by advertisers and agencies (media buyers) to activate campaigns and manage budgets, targeting, and reporting. That’s the DV360 use case.
SSPs: used by publishers and media owners to expose inventory, enforce pricing/brand-safety policies, and maximize yield by connecting to many buyers. Google’s Open Bidding documentation is explicit about SSPs competing for a publisher’s inventory.
Ad exchanges: accessed programmatically by both sides, but buyers usually connect through DSPs; some large buyers connect directly as Authorized Buyers.
Access to inventory and data
Reach and decision quality depend on what inventory a platform can touch and what data it can legally see and use:
DSPs aggregate access to vast, multi-format inventory (open exchange, PMPs, programmatic guaranteed) and ingest first-party/partner data to decide if and how much to bid for a given impression.
SSPs aggregate a publisher’s supply and distribute it to many demand sources at once, increasing competition per impression; with Open Bidding or header bidding, multiple SSPs/exchanges compete in one auction.
Ad exchanges act as the neutral conduit for bidstream data and auctions. IAB Tech Lab’s OpenRTB standard defines the fields and rules for these transactions, while sellers.json and SupplyChain Object add transparency about who is selling or reselling each request.
Pricing models
Here we outline how prices are set, which fees apply, and how auction mechanics affect what buyers pay and sellers earn:
DSP side: buyers typically transact on CPM (and optimize to CPC/CPA where supported) by submitting impression-level bids in real time; platform/service fees are layered on top, which the IAB’s fee transparency work helps quantify.
SSP/exchange side: most large exchanges now clear via first-price auctions—the highest bid pays—after Google Ad Manager’s shift to a unified first-price model to simplify and increase transparency. Floors, take-rates, and deal terms shape publisher yield.
Transparency standards:sellers.json and the SupplyChain Object enable buyers to see the full chain of intermediaries and purchase as directly as possible.
Optimization and control
Different tools expose different levers. We’ll show where targeting, frequency, floors, brand safety, and deal settings live—and what the exchange enforces:
DSPs provide buy-side controls: audience and contextual targeting, frequency and pacing, supply-path choices, deal IDs (PMP/PG), and automated bidding to hit performance goals. That end-to-end campaign control is the core DV360 value proposition.
SSPs provide sell-side controls: price floors, creative/category blocks, brand-safety policies, and deal prioritization; Open Bidding and similar frameworks let publishers invite more competition in a single, policy-enforced auction.
Exchanges execute auctions to spec (OpenRTB), and industry standards (sellers.json/SupplyChain) plus platform reporting make it easier for both sides to audit paths and fees—key to ongoing supply-path optimization (SPO) and cleaner buying.
From the buyer’s seat, the path to a single impression looks like this: advertiser → DSP → ad exchange → SSP → publisher. Here’s what happens in practice.
Advertiser sets strategy in the DSP. You load budgets, targeting, creative, and guardrails (brand safety, frequency, pacing). The DSP listens for incoming bid requests that match those rules and decides what each impression is worth. This decisioning is designed for real-time bidding under the OpenRTB standard.
The exchange signals an opportunity. When a user is about to see an ad, the publisher’s stack (ad server/SSP) describes that impression and the ad exchange forwards a bid request to eligible buyers. Google’s Authorized Buyers documentation spells out this sequence and the fixed response window; if a bid isn’t received in time, the auction proceeds without it.
The DSP evaluates and bids (or passes). Your DSP scores the opportunity against audience, context, and performance goals, then responds with a bid and creative—or with no bid. Google’s RTB guides describe this “process request → respond” loop for each impression.
The exchange runs the auction in milliseconds. Competing bids clear in a unified auction; the winner is returned to the seller. On Authorized Buyers, this all typically completes in ~100 ms end-to-end.
The SSP enforces the publisher’s rules and passes the win. The SSP (and/or the publisher’s ad server) applies floors, blocks, and deal priorities, then hands the winning ad back to the page or app to render. Open Bidding in Google Ad Manager and similar setups let multiple external SSPs compete in that same auction to increase yield.
The ad serves and reporting flows back. The impression is logged, the click/conversion (if any) is attributed, and both sides get data for optimization on the next opportunity. By design, all of this takes place in well under a second.
Two common variations worth noting:
Header bidding (parallel demand). Many publishers invite multiple SSPs/exchanges to bid simultaneously before the ad server chooses a winner, which typically boosts competition and revenue compared with a sequential “waterfall.”
Private deals and programmatic guaranteed. The same pipes carry deal ID trades (PMP, preferred, PG) so a buyer can secure curated inventory while still transacting programmatically. (These deals still flow through the DSP → exchange → SSP path; they simply use pre-agreed terms.)
Benefits of understanding the differences of ad exchange vs DSP vs SSP
Understanding who buys, who sells, and who runs the auction isn’t trivia—it’s how you control spend, quality, and outcomes. With the roles clear, you can audit fees, pick cleaner paths to inventory, set smarter targeting and frequency rules, and align KPIs on both sides of the trade. Here’s what that clarity delivers in practice.
⚡ Clarity unlocks control—cleaner supply paths, smarter targeting, and fewer surprises in the fee stack.
Better transparency
Knowing which piece does what lets you demand evidence—log-level data from the DSP, sellers.json/SupplyChain Object on the sell side, and clear fee disclosures from exchanges.
In Q2 2025, the ANA benchmark reported the median number of SSPs per advertiser dropped from 19 to 17, and active domains fell from 53,799 to 28,958—proof that supply-path curation is taking hold. Yet only 21 of 39 marketers in the cohort had the contractual rights to use log-level data (LLD), underscoring why buyers should push for it in IOs and MSAs.
In Q1 2025, the same series showedDSP platform costs decreased by $17 (helped by lower CTV DSP fees), indicating that fee scrutiny and mix shifts can materially improve the cost waterfall.
Finally, quality controls matter: Integral Ad Science foundad fraud in non-optimized campaigns hit 10.9% in H2 2024—15× higher than in campaigns using anti-fraud tech—reinforcing the value of verification plus cleaner supply paths.
Improved ROI
Clarity on roles enables supply-path optimization: pick the most direct, trustworthy route to a publisher’s inventory and cut hops that add fees without adding value. Agencies are formalizing direct SSP partnerships to secure premium inventory and preferential economics, reporting better scrutiny and value for clients; this shift reflects a quality-over-quantity approach on the buy side. Combined with transparency gains, these tactics are a practical route to higher working media and lower waste. Channel choice also matters: as mentioned, programmatic direct is gaining share in US nonsocial programmatic display through 2026, driven by retail media and CTV—paths where curated deals can outperform open auctions when you want control.
Efficient targeting
When you understand that DSPs are the cockpit for audience, context, and frequency, you can enforce cross-channel caps and reduce duplication across publishers.
Google reports advertisers saw an average 6% reach gain when managing frequency in Display & Video 360—more unique reach for the same spend, which compounds ROI as you scale.
Optimized supply and demand
Mapping the workflow—DSP (demand) ⇄ exchange (auction) ⇄ SSP (supply)—helps both sides tune the right controls.
Buyers can insist on transparent supply chains (sellers.json/SupplyChain), prefer direct paths, and use curated deals where appropriate; sellers can set rational floors and consolidate partners to increase true competition.
Programmatic delivers scale, but it also brings trade-offs that can quietly drain performance if left unchecked. Before you pick tools or partners, get clear on the common pressure points—fee opacity, fraud/MFA, duplicate auctions, privacy shifts, consolidation, and day-to-day complexity—and how you’ll counter them. Use the guidance below to set guardrails, apply the right standards, and focus fixes that actually move the needle.
⚡ Set guardrails early: demand log-level data, prefer direct sellers, and make SPO a monthly habit.”
Transparency and fee clarity
Programmatic still involves multiple intermediaries and fees, which can obscure where spend goes and why an impression cleared at a given price.
What recent data shows. In Q1 2025, the ANA’s new TrueCPM Index flagged a 37.8% optimization gap, indicating sizable savings still available from cleaner supply paths and tighter fee controls. Certification helps too: in the US, TAG-Certified Channels have kept invalid traffic under 1% for four consecutive years, and TAG’s 2024 European benchmark found 62% lower IVT in certified vs. non-certified channels—evidence that standardized disclosure and verification reduce waste.
The TrueCPM Index and a chart quantifying the average 37.8% optimization gap (Source).
How to address it. Require sellers.json and SupplyChain Object disclosure on every deal; request log-level data from partners; and use supply-path optimization to prefer the most direct, verified route to a publisher. The IAB Tech Lab’s standards exist precisely to let buyers verify who is selling or reselling each impression.
Ad fraud, MFA, and brand suitability
Fraud and low-quality environments siphon budget and erode performance; risk rises when verification is absent or misconfigured.
What recent data shows. In North America, bot fraud surged 101% year over year in 2024, with the U.S. up 106%, and general invalid traffic rose 86% in 2H 2024—16% of that tied to AI-powered crawlers—according to DoubleVerify’s 2025 North America report. On brand suitability, IAS’s 2025 Media Quality Report lists U.S. brand-risk rates at 1.5% (desktop display), 1.5% (desktop video), 2.4% (mobile web display), and 2.9% (mobile web video), while DoubleVerify’s Q2 2024 benchmark put North America’s brand-suitability violation rate at 4.2%—useful baselines for setting thresholds and alerts.
Ad fraud rates for optimized and non-optimized campaigns (Source).
How to address it. Use inclusion lists for high-quality publishers, enforce pre-bid verification across devices and CTV, negotiate refund rights for invalid traffic, and monitor MFA exposure in monthly QA. Pair this with SPO and domain/app transparency so verification has clean signals to work with.
Bid duplication and supply-path noise
The same impression can be auctioned through multiple SSPs, prompting duplicate bid requests and the risk of bidding against yourself.
What recent data shows. Industry debate has intensified around transaction IDs as a mechanism to identify identical auctions across pipes. IAB Tech Lab flagged recent Prebid changes that break cross-exchange TID consistency, while trade press argues for solutions that reduce harmful duplication without undermining fair competition.
How to address it. Favor direct paths to a publisher’s authorized seller; cap the number of parallel SSPs per site in your DSP; and require partners to preserve cross-exchange identifiers where standards call for them.
Privacy and identity shifts
Audience targeting and measurement are adjusting to changes in browser policies and platform controls.
What recent data shows. In April 2025, Google signaled it would not proceed with a separate cookie prompt and shifted toward a user-choice model while continuing Privacy Sandbox work; multiple outlets reported that Chrome’s long-planned third-party cookie phase-out was no longer moving forward as originally framed.
How to address it. Lean into first-party data, clean-room workflows, and contextual signals; test Sandbox APIs where relevant; and validate that your DSP can deduplicate reach and manage frequency when identifiers are sparse.
Market power, consolidation, and resilience
Concentration on both buy- and sell-sides creates dependency risk and policy exposure.
What recent data shows. In 2025, the DOJ asked a court to require Google to divest AdX and separate key ad-tech components; EU regulators issued a multibillion-euro fine over ad-tech practices. These actions underscore regulatory uncertainty around vertically integrated stacks.
How to address it. Maintain at least one backup path (secondary DSP or curated supply partner), use interoperable measurement, and include service-level and data portability clauses in contracts.
Operational complexity and talent
Running programmatic well requires integrating data, measurement, and creative across platforms—work that strains small teams.
What recent data shows. The ANA series points to progress when buyers rationalize partners and reduce domain/app sprawl; IAB Tech Lab continues to ship standards (OpenRTB updates, sellers.json, ads.txt) to ease integration—especially in CTV and retail media.
How to address it.Consolidate where it improves control (fewer DSPs/SSPs), automate QA with standardized taxonomies, and invest in trader education so platform settings match strategy.
Bottom line: clarify the role each platform plays, insist on transparency standards, and tune supply paths with data. Those steps have already lifted working media and cut MFA exposure at scale, and they position you to apply AI safely on top of a cleaner stack.
Future of DSPs, SSPs, and ad exchanges
Programmatic’s next phase is about smarter decisions and tighter pipes. Expect buy- and sell-side tools to converge, more direct paths between major buyers and publishers, and standards that make auctions easier to audit. The sections below outline how AI, cross-channel planning, and real-time controls will shape day-to-day trading.
AI and automation in programmatic buying
AI is moving from bid automation to predictive decisioning: scoring each impression’s likely outcome, choosing the most efficient supply path, and even routing deals directly to publishers when that path is faster or cleaner. Industry voices expectDSPs to apply AI to pre-select the best route to each impression and, where it improves performance and transparency, go more direct to supply.
Macro signals point the same way:
PwC’s 2025 outlook highlights AI-powered ads as a growth driver, especially in digital video and CTV;
Reuters’ summary cites connected TV ad revenue on course for $51B globally within the forecast window.
In the US, eMarketer also projects rapid growth in AI-driven search advertising through 2029, underlining how quickly AI is reshaping buying logic across channels.
Programmatic is becoming the operating system for more screens. CTV is nearing one-third of total US TV ad spend, putting pressure on buyers and sellers to plan reach and frequency across streaming, web, mobile, and audio in one stack. At the same time, commerce/retail media networks are pulling in more budget with first-party data and closed-loop measurement.
The IAB Tech Lab’s 2025 roadmap codifies this shift: priorities include live event streaming and CTV attributes in OpenRTB, standardized CTV formats, and a standard Conversion API to capture outcomes across walled and open environments.
Auctions already clear in milliseconds; what’s changing is what the algorithms optimize for. Expect more outcome-based bidding (incrementality, customer value), tighter cross-publisher frequency control, and richer diagnostics from platforms.
As mentioned, Google reports advertisers saw an average 6% reach gain when they actively managed frequency in DV360, and new 2025 DV360 metrics aim to quantify savings reinvested from frequency caps—a sign that real-time controls are getting more granular and auditable.
On the sell side, real-time yield systems are converging with standards work: Tech Lab efforts around curated audiences and supply-chain integrity (e.g., standardized privacy signaling and device attestation in OM SDK) are meant to make real-time decisions more trustworthy.
Trends shaping the future of programmatic
Here are the shifts to watch over the next 12–18 months; each one changes how you plan, buy, sell, and measure. First up, the lines between buyer and seller tools are thinning:
Buy-side/sell-side convergence. SSPs are courting agencies directly, and some DSPs are integrating straight to publishers—reducing hops, improving fee clarity, and blurring old lines.
CTV at scale. Streaming’s share keeps climbing, and standards for live CTV and new ad formats (pause ads, shoppable, QR) are being formalized to support programmatic delivery at broadcast-level reliability.
Commerce media expansion. “Everything is an ad network”: retailers and non-retail brands (travel, hospitality) are launching data-rich networks, which programmatic pipes will need to interoperate with.
Privacy and signal change. With broader state-level privacy enforcement and evolving identifiers, Tech Lab’s Global Privacy Platform and standardized Conversion APIs are central to maintaining addressability and measurement.
Supply-path integrity. Expect more scrutiny of duplicate auctions and cross-exchange identifiers. In 2025, the IAB Tech Lab publicly challenged Prebid’s transaction-ID changes for breaking OpenRTB consistency—evidence that deduplication and transparency remain live issues.
Outcome transparency.Benchmarks from the ANA in late 2024 showed working media improved by 7.9 percentage points year over year and MFA exposure fell sharply, proving cleaner supply paths and better data access can move real money—and setting expectations for continued progress.
Conclusion: how to choose among SSP vs DSP vs ad exchange
DSPs, SSPs, and ad exchanges do different jobs that connect at the point of the auction. A DSP is the buy-side system for planning, targeting, bidding, and measurement. An SSP is the sell-side system for packaging inventory, enforcing policies, and maximizing yield. The ad exchange is the marketplace that runs the auction and clears the winning bid. The right choice depends on who you are and what you’re trying to achieve: advertisers should prioritize a DSP that fits their channels, data, and reporting needs; publishers should choose SSP partners and deals that protect brand experience and revenue; both sides should insist on clear supply paths and fee transparency.
Match platform selection to goals. If you’re chasing incremental reach with tight frequency control and outcome measurement, a DSP with solid identity, PMP/PG support, and log-level reporting belongs at the center of your stack. If you’re protecting user experience and yield, an SSP mix that supports unified auctions, sensible floors, and clean seller disclosures will do more for revenue than any single quick fix. Across the board, use standards (ads.txt, sellers.json, SupplyChain Object) and shorten supply paths where possible.
AI and automation will keep raising the bar. Expect DSPs to score each impression against likely business outcomes, pick cleaner routes to supply, and automate cross-channel frequency and budget moves. Expect SSPs to package audiences and inventory with richer quality signals so auctions reward true value. Exchanges will continue to standardize and surface more signals so buyers and sellers can audit what happened and why. The result is more predictive decisioning, better accountability, and faster feedback loops.
If you want a partner to put this into practice, AI Digital can help agencies run cleaner, higher-performing programmatic without locking into a single stack. Our team operates a DSP-agnostic, AI-enhanced model with a neutral Open Garden framework so you keep control and transparency over where budgets flow and why. We deliver end-to-end managed execution across CTV, OTT, display, social, search, native, and audio, then optimize in real time while you retain strategic oversight.
If you’d like a clean audit of your current supply paths, or a pilot that proves out working-media gains on a live brief, reach out to AI Digital and we’ll map the plan, execute, and show the deltas with transparent reporting.
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.
Medium
Medium
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Questions? We have answers
What is the difference between DSP and SSP ads?
A DSP (demand-side platform) is used by advertisers and agencies to buy impressions programmatically across many publishers and exchanges. An SSP (supply-side platform) is used by publishers to sell their inventory to many buyers at once. So “DSP ads” are ads a buyer purchased via a DSP; “SSP ads” isn’t really a thing—an SSP doesn’t run ads, it auctions a publisher’s ad slots to buyers.
What is the difference between DSP and ad exchange?
A DSP is the buyer’s tool: it decides if to bid on a specific impression and how much, based on your targeting, budget, and performance goals. An ad exchange is the marketplace that receives the bid requests, runs the auction among all bids (usually first-price), and returns the winner. Most advertisers reach exchanges through a DSP.
Is an ad exchange the same as a DSP?
No. A DSP is decisioning and campaign management for the buy side; an ad exchange is auction infrastructure connecting many sellers (via SSPs/ad servers) to many buyers (usually DSPs). You use a DSP to access one or more exchanges—not the other way around.
Is Google Ads a DSP or SSP?
Google Ads (formerly AdWords) is primarily a buying interface for Google’s own inventory (Search, YouTube, and the Google Display Network). Google’s enterprise DSP is Display & Video 360 (DV360). On the sell side, Google Ad Manager/AdX functions as the publisher ad server/SSP and exchange.
Can a company use both a DSP and SSP?
Yes. Advertisers and agencies use DSPs to buy; publishers and media owners use SSPs to sell. Companies with both sides of the house (e.g., a retailer with its own media network) often use both: an SSP to monetize their properties and a DSP to buy additional reach elsewhere. Best practice is to keep clear governance (separate objectives, controls, and reporting) so buying decisions and sell-side yield policies don’t conflict.
Ad exchange vs SSP: what’s the difference?
An ad exchange is the auction marketplace that matches bids to impressions in real time; it routes bid requests and clears the winning price. An SSP is the publisher’s sell-side platform that packages inventory, sets floors and policies, and connects that supply to multiple exchanges and buyers.
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