Home Content Studio Build Better Highways, Not Faster Cars: The Infrastructure Ad Tech Really Needs

Build Better Highways, Not Faster Cars: The Infrastructure Ad Tech Really Needs

SHARE:

For all of the ad tech industry’s sophistication, fragmentation remains its original sin.

The solution isn’t a mystery. Everyone agrees that greater interoperability is the answer. So what’s standing in the way?

For many platforms, keeping data locked inside a single ecosystem ensures revenue, even if it makes life harder for buyers. Most advertisers juggle three or more DSPs, plus multiple social, search and retail media platforms, with reporting often held together by Scotch tape and bubble gum.

The real path forward is clear: Platforms must connect and “play nice,” even with competitors.

Think of how cars didn’t truly transform society on their own. They only became revolutionary once highways allowed them to travel farther, faster and more efficiently. Ad tech is in a similar position. The “highways” are shared data pathways that let buyers compare, optimize and shift spend seamlessly. Without them, even the most advanced AI tools will remain limited and stuck behind the bottleneck of siloed systems.

Fragmentation frustration has boiled over

Agencies and brands are under relentless pressure to do more with less, making efficiency a prerequisite for survival. Yet fragmentation creates ubiquitous friction.

Every buyer knows the pain. Campaign data lives in silos across DSPs, search, social, retail media and direct deals. Reporting is too often cobbled together in spreadsheets, full of mismatched numbers, manual errors and broken naming conventions.

The cost goes well beyond frustration. This is about wasted time and missed opportunity. After hours spent on manual reporting, agencies still only get a partial view of performance and a patchwork story for stakeholders. In fact, according to a Basis survey earlier this year, 56% of agency professionals cite inefficient processes as the top challenge facing their organization.

Meanwhile, AI is only generating more data rather than simplifying the process, which is magnifying the fragmentation problem. This will continue to happen unless the foundation changes.

Subscribe

AdExchanger Daily

Get our editors’ roundup delivered to your inbox every weekday.

AI’s promise is sitting on the other side of a major barrier. No matter how advanced downstream automation becomes, it can’t outrun all the manual spreadsheet juggling and reporting that happens upstream.

What interoperability really looks like

The industry can’t keep settling for the status quo. We’ve seen promises of interoperability before, but most amount to little more than surface-level dashboards that pull raw data feeds without making them actionable.

True interoperability means agencies and brands have the ability to see the entire picture and act on it. It requires connectivity across the platforms they use – even if they’re competitors vying for the same budgets – so data can flow freely. It requires cross-platform visibility that breaks down channel silos and unifies platforms to buy direct, search, social, retail media and the open web in one view. And, most importantly, it requires systems that move beyond simple visualization. Reporting should connect directly to budgets and KPIs, track pacing against targets, surface real-time alerts and point teams toward the actions that matter most.

This is the difference between stitching together data for a static chart and enabling media teams to make faster, smarter decisions that direct spend to where it will have the greatest impact.

Overcoming ad tech’s original sin

Solving fragmentation depends on DSPs and other ad tech partners doing the hard work of building connections and realigning incentives so everyone has a business interest in delivering transparency.

Some of us have been at this for years, starting with one-way “pulls” of data that mature into two-way workflows, where campaigns can be built in a single system and pushed into external platforms. Other companies followed this example, working to pull together raw data streams and transform them into integrated, meaningful information.

Could the next frontier in interoperability see DSPs ingesting competitor data and deepen API connections across walled gardens?

Such an arrangement would allow marketers to compare performance of multiple DSPs in a single interface to optimize accordingly. The significance isn’t just in displaying numbers side by side; it’s in tying those numbers back to live pacing and KPIs, surfacing alerts and prioritizing the next best action.

This is what’s possible when platforms lean into interoperability instead of avoiding it. It points toward a future where vendor-agnostic transparency gives agencies and brands a complete, actionable view of their investments, including what’s available, what’s working and what isn’t while also allowing them to make smarter, faster and more informed decisions at scale.

From fragmented frustration to smarter systems

Ad tech has lived with fragmentation for too long. But, today, rising efficiency pressures, AI’s data surge and growing client demand all point to the end of the fragmentation era.

The industry needs to shift its focus from building faster “cars” to building better highways – transparent, connected systems that reduce errors, free teams to focus on strategy and better guide effective spending.

Automated, vendor-agnostic transparency will be the expectation, not the exception. Technology providers that fail to deliver risk losing the satisfaction of customers. Marketers are now demanding ad tech that delivers on its original promise: clarity, efficiency and the power to put every dollar to its best possible use.

For more articles featuring Grace Briscoe, click here.

Must Read

Google Rolls Out Chatbot Agents For Marketers

Google on Wednesday announced the full availability of its new agentic AI tools, called Ads Advisor and Analytics Advisor.

Amazon Ads Is All In On Simplicity

“We just constantly hear how complex it is right now,” Kelly MacLean, Amazon Ads VP of engineering, science and product, tells AdExchanger. “So that’s really where we we’ve anchored a lot on hearing their feedback, [and] figuring out how we can drive even more simplicity.”

Betrayal, business, deal, greeting, competition concept. Lie deception and corporate dishonesty illustration. Businessmen leaders entrepreneurs making agreement holding concealing knives behind backs.

How PubMatic Countered A Big DSP’s Spending Dip In Q3 (And Our Theory On Who It Was)

In July, PubMatic saw a temporary drop in ad spend from a “large” unnamed DSP partner, which contributed to Q3 revenue of $68 million, a 5% YOY decline.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Paramount Skydance Merged Its Business – Now It’s Ready To Merge Its Tech Stack

Paramount Skydance, which officially turns 100 days old this week, released its first post-merger quarterly earnings report on Monday.

Hand Wipes Glasses illustration

EssilorLuxottica Leans Into AI To Avoid Ad Waste

AI is bringing accountability to ad tech’s murky middle, helping brands like EssilorLuxottica cut out bots, bad bids and wasted spend before a single impression runs.

The Arena Group's Stephanie Mazzamaro (left) chats with ad tech consultant Addy Atienza at AdMonsters' Sell Side Summit Austin.

For Publishers, AI Gives Monetizable Data Insight But Takes Away Traffic

Traffic-starved publishers are hopeful that their long-undervalued audience data will fuel advertising’s automated future – if only they can finally wrest control of the industry narrative away from ad tech middlemen.