Programmatic advertising has gotten a lot bigger than display ads following people around the internet.
In 2026, the same infrastructure is buying connected TV, streaming video, commerce media, and premium inventory, while AI is taking on more of the work behind planning, bidding, and optimization.
That gives advertisers more speed and reach, but it also raises the stakes. Where did the ad run? Why did the platform buy that impression? Which data influenced the decision? And did any of it lead to a meaningful business result?
As spending climbs, those questions are being asked more often than not. EMARKETER expects U.S. programmatic ad spending to top $200 billion by the close of 2026, with a growing share flowing through direct deals rather than the open auction.
Programmatic is now the operating system behind a huge share of digital media buying. The biggest changes are happening in how that system makes decisions, where it reaches people, and how advertisers measure whether it worked. Here are the programmatic advertising trends shaping that shift.
1. AI Is Moving From Campaign Assistant to Campaign Operator
AI has been part of programmatic advertising for years, mostly behind the scenes. It helped decide what to bid, where to spend, and when to shift budget. In 2026, it’s starting to take on a much bigger role.
Agentic AI can move across several parts of a campaign at once: interpreting objectives, evaluating audiences and inventory, reallocating spend, spotting underperformance, and adjusting strategy with less day-to-day input from a media buyer.
Buyers are already treating that shift seriously. In IAB’s 2026 Outlook Study, five of the six top priorities identified by buyers involved AI, and nearly all respondents were familiar with agentic AI advertising. IAB
The appeal? A campaign running across display, CTV, online video, commerce media, and mobile can generate more variables than any team can realistically monitor in real time. AI can process those signals faster and make adjustments sooner.
But that efficiency does come with a new expectation: advertisers need to know what the system is doing.
If AI moves budget toward a particular publisher, audience, or creative treatment, the brand should be able to understand why. IAB’s recent guidance on AI-powered programmatic video puts transparency front and center as AI takes on more responsibility for bidding, pricing, pacing, inventory curation, and measurement. IAB
So the useful question for marketers has changed. “Does your platform use AI?” doesn’t tell you much anymore. Ask what decisions the AI is making, how those decisions are evaluated, and how much visibility your team has into the process.
2. Programmatic Direct Keeps Gaining Ground
Programmatic used to conjure up a pretty simple picture: advertisers bidding impression by impression across a giant open marketplace.
That model still exists, but more brands are moving toward tighter control over where their ads appear and who they buy from.
Programmatic direct and private marketplace deals offer that balance. Advertisers can keep the speed and efficiency of automated buying while choosing more carefully around inventory quality, pricing, placement, and publisher relationships.
EMARKETER estimates that 76.3% of programmatic spending will be programmatic direct in 2026 when social is included. Even without social, direct transactions are expected to account for just over half of programmatic spend.
For brands in categories where context carries extra weight (like healthcare, finance, luxury, B2B), that added control can be especially valuable. The priority isn’t simply finding the lowest CPM. It’s knowing where the ad ran, what kind of environment surrounded it, and whether that placement makes sense for the brand.
3. Connected TV Is Becoming a Programmatic Mainstay
CTV has spent years being treated like the next big thing. But now, in 2026, it’s simply part of the media mix.
IAB expects U.S. digital video ad spending to surpass $80 billion this year, with connected TV spending projected to grow 13.8%.
Programmatic buying has helped accelerate that growth by making TV inventory far more flexible. Instead of buying broad audiences based mostly on programming and geography, advertisers can use audience signals, manage frequency, coordinate CTV with other digital channels, and measure more than ratings alone.
Remember, people rarely move through a purchase decision in one place. Someone might see a streaming ad on Tuesday night, a display ad at work the next morning, search the brand on their phone later that day, and convert over the weekend. Programmatic makes it easier to manage those touchpoints as part of one campaign rather than a collection of disconnected buys.
The harder question now is whether CTV is adding meaningful reach or simply adding more impressions. Advertisers need to look at incremental audience, frequency, and downstream business results instead of assuming that more premium video inventory automatically means better performance.
4. Commerce Media Is Expanding Beyond the Retail Website
Retail media used to be a fairly contained idea: sponsored products showing up beside search results on a retailer’s site.
Now it reaches far beyond that.
Retailers and commerce platforms sit on some of the most valuable first-party data in advertising because it’s tied closely to what people browse, buy, and buy again. That data can now shape campaigns across display, video, CTV, off-site publisher inventory, and even physical retail environments.
The market has grown quickly. EMARKETER projected U.S. retail media spending at more than $71 billion in 2026, with broader commerce-media estimates running even higher.
For brands, the bigger advantage is measurement. Commerce media can connect ad exposure more directly to purchase behavior, giving marketers a clearer view of whether someone who saw the campaign later bought the product.
That’s raising the bar for retail and commerce networks. IAB has described the sector as moving into a more operational phase, where platforms are expected to prove business impact rather than simply point to rapid growth.
Look beyond your audience size. Data quality, attribution, incrementality, inventory access, and cross-channel measurement are becoming much more important in deciding which commerce partners are worth the spend.
5. First-Party Data Still Gets More Valuable
Third-party cookies spent years dominating the future-of-advertising conversation. The deadlines moved, the plans changed, but one lesson held up: brands are in a stronger position when they know their own customers.
First-party data can come from purchases, CRM records, loyalty programs, website behavior, app activity, email engagement, and other interactions collected directly through the customer relationship.
In programmatic campaigns, that data can do a lot of practical work. Brands can suppress recent buyers from acquisition campaigns, reconnect with lapsed customers, build higher-value segments, and tailor messaging based on where someone is in the relationship.
As acquisition becomes more expensive, that’s even more useful: IAB’s 2026 outlook found advertisers putting greater emphasis on repeat purchases and retention as customer acquisition costs rise.
Consider two campaigns with the same $100,000 budget. One treats every impression like a first introduction. The other knows who bought last week, who hasn’t purchased in 18 months, and who consistently spends more.
The second campaign starts with a much better understanding of where that money should go.
6. Privacy Is Becoming an Operational Requirement
Privacy has become harder to treat as a box-checking exercise.
A single programmatic campaign can involve data moving between the advertiser, agency, DSP, publisher, measurement partner, clean room, and other vendors. Each handoff comes with its own rules around consent, storage, use, and retention.
The regulatory environment is getting more complicated, too. In March 2026, IAB updated its Multi-State Privacy Agreement as state-level privacy requirements and enforcement continued to expand across the U.S.
Your takeaway from this should be that privacy needs to be considered while the campaign is being built. Teams should know where audience data came from, what permissions apply, which partners can use it, and what happens to it after the campaign ends.
That work may be less exciting than creative testing or audience strategy, but weak data practices can undermine an otherwise strong programmatic campaign very quickly.
7. Measurement Is Shifting Closer to Business Outcomes
Impressions, viewability, video completion rates, CTR, CPM, CPC, reach, frequency… there’s no shortage of numbers here. The problem is that a campaign can look busy on paper without telling you whether it changed anything meaningful for the business.
As programmatic budgets grow, so does the pressure to connect media spend to outcomes.
More advertisers are therefore focusing on metrics such as qualified leads, store visits, purchases, subscriptions, repeat orders, incremental revenue, and customer lifetime value.
Upper-funnel metrics still have a place. A brand-awareness campaign shouldn’t be judged by last-click conversions alone. But the measurement plan should reflect what the campaign was supposed to accomplish.
If you’re trying to build awareness, look at reach, frequency, brand lift, and search behavior. If you’re trying to acquire customers, track the path to conversion. If you’re trying to increase repeat purchases, impressions by themselves won’t tell you much.
8. Omnichannel Programmatic Is Becoming Less Optional
Your customer doesn’t know (or care) that one ad came from your CTV budget and another came from display. They just know they’ve seen your brand three times today.
That can work in your favor. Or it can get annoying fast.
When channels are planned in separate silos, it’s easy to overserve one person, repeat the same creative until it loses impact, or miss another qualified prospect entirely. Programmatic makes it easier to coordinate those touchpoints around the audience instead of around internal budget lines.
A prospect might first see a video ad, later get a more specific display message, then see a different offer after visiting the website. Frequency can be managed across channels, spend can shift toward stronger-performing placements, and converted customers can be excluded from acquisition messaging.
Done well, that creates a more natural progression instead of a pile of disconnected ads, and gives marketers a much better read on how different channels work together before someone converts.
Programmatic Advertising Is Entering Its Accountability Era
Programmatic buying is already the default for a huge share of digital media. With more than $200 billion in expected U.S. programmatic spending, the question is no longer whether advertisers will use it.
The harder question is whether all that automation is producing better decisions.
AI can speed up decision-making, while newer programmatic channels and data sources give advertisers more ways to reach the right people and connect media activity to business results. The upside is more precision, better placement control, and a clearer view of what’s driving performance.
But those advantages only help if the campaign is built around the right audience, message, and measurement plan.
That’s why the strongest programmatic strategies in 2026 are asking better questions: Where did the ad run? Why did the platform buy that impression? How often did the same person see it? Which data shaped the decision? And what happened next?
As programmatic gets more sophisticated, marketers need more visibility, not less.
Kinetic319 helps brands connect programmatic strategy across audiences, channels, and business outcomes so the technology is doing useful work, not just making more decisions faster.
FAQ
What is programmatic advertising?
Programmatic advertising uses technology to automate the buying, selling, and delivery of digital advertising inventory. It can include display, native, video, connected TV, audio, mobile, and digital out-of-home inventory.
What are the top programmatic advertising trends in 2026?
Major trends include AI-powered and agentic media buying, continued CTV and video growth, increased programmatic direct spending, stronger first-party data strategies, commerce-media expansion, omnichannel campaign management, and greater emphasis on business-outcome measurement.
How is AI used in programmatic advertising?
AI can assist with campaign planning, audience selection, bid optimization, budget allocation, pacing, inventory evaluation, contextual targeting, creative decisions, and performance measurement. As AI controls more decisions, advertisers are placing greater emphasis on transparency and human oversight.
Is connected TV bought programmatically?
Yes. A large amount of CTV inventory can be purchased programmatically through DSPs, private marketplaces, and direct programmatic deals. This allows advertisers to combine television-style video advertising with digital audience targeting and measurement.
Why is first-party data important for programmatic campaigns?
First-party data helps advertisers build audiences based on their own customer relationships and behavior. It can be used for segmentation, exclusions, retention campaigns, re-engagement, personalization, and audience modeling.
What is the difference between open programmatic and programmatic direct?
Open programmatic typically involves advertisers bidding on inventory available through open exchanges. Programmatic direct uses automated technology to purchase inventory through more controlled publisher relationships or predefined deals, often giving advertisers greater visibility into placement and inventory quality.
How should brands measure programmatic advertising?
Measurement should follow the campaign objective. Useful metrics can include reach and frequency, brand lift, conversions, qualified leads, customer acquisition cost, ROAS, revenue, repeat purchases, store visits, or incremental sales. Click-through rate alone rarely gives a complete picture of campaign performance.