Advertising trading has stopped being a numbers game and started being a sourcing game.

Key Highlights

• Supply path optimization belongs inside every trading decision, not in a quarterly audit
• Curated PMP deals filter out junk inventory before it ever reaches the auction
• Bid enrichment turns thin bid requests into targetable, biddable opportunities
• SSP diversification protects traders from single-source pricing and inventory risk
• CTV and FAST inventory need their own trading playbook, separate from open-web display

The five strategies below cover where traders are losing margin today and what to fix first.

1. Build Supply Path Optimization Into Every Trading Decision

Supply path optimization stops working the moment it becomes a once-a-quarter cleanup project. Advertising trading desks that treat SPO as an ongoing filter, not a periodic review, catch waste before it compounds across campaigns.

The scale of that waste is well documented. According to an ANA-backed supply chain transparency study, only 41 cents of every dollar entering a DSP reaches consumers through brand-safe, viewable, non-MFA inventory, leaving roughly $22 billion in efficiency gains on the table across the open web. Every redundant supply path between a trading desk and a bid is a path that’s likely taking a cut without adding value.

The fix isn’t fewer partners for the sake of fewer partners. It’s visibility into which paths actually deliver quality impressions, then routing spend there consistently. Our Ichiro platform builds this kind of path-level visibility into the curation layer itself, so traders aren’t reconstructing it manually in a spreadsheet every month.

2. Use Curated PMP Deals to Cut Waste Before the Auction

Open auction inventory is a gamble every time a bid goes out. Curated private marketplace deals shift that risk upstream, before the auction even happens.

A well-built PMP deal pre-qualifies inventory against viewability, brand safety, and fraud thresholds, so the trader isn’t paying to discover junk impressions one bid at a time. That’s a meaningfully different posture than open auction buying, where quality gets assessed after the fact through post-campaign reporting.

For agency traders managing dozens of line items, curated PMPs also cut down on the manual blocklist maintenance that eats up a trading day. Sell-side decisioning handles the qualification work before inventory ever reaches the bid request, which means the trader’s time goes toward strategy instead of cleanup.

This is especially valuable for sensitive categories like political and healthcare campaigns, where one bad placement creates real brand risk. A curated CTV PMP deal narrows the field to inventory that’s already been vetted for the specific compliance and brand-safety bar those campaigns require.

3. Layer Bid Enrichment Data Into Your Bidding Logic

A bid request without enrichment is a guess with extra steps. Bid enrichment fills in the signals a thin bid request leaves out, things like content category, identity-adjacent matches, and contextual classification, before the DSP ever has to decide whether to bid.

FreeWheel’s research on bid request enrichment points out that the basic signals available in most bid requests, like device type and operating system, give traders a foundational snapshot but not enough to bid with real confidence. Enrichment closes that gap without requiring a separate data integration for every campaign.

For advertising trading teams operating in a post-cookie environment, enrichment matters even more. Contextual and identity-adjacent signals layered into the bidstream give traders a way to maintain targeting precision without relying on third-party cookies that are disappearing or already gone in most browsers.

The practical upside is fewer wasted bids on impressions that never had a real shot at performing. That’s margin recovered before the campaign even launches, not after a postmortem.

4. Diversify Across SSPs to Avoid Single-Source Risk

Routing all demand through one or two SSPs feels efficient until that SSP’s fee structure or inventory quality shifts. Diversification protects against exactly that kind of single-source exposure.

The fee math alone makes the case. Some analysis on SPO economics puts hidden SSP fees as high as 30 to 40 percent of a bid before it ever reaches a publisher, a markup that erodes net CPMs without adding any real demand value. A trader buying through a single SSP has no visibility into whether that fee is reasonable or whether the same inventory is available cheaper elsewhere.

Our SSP-agnostic approach means the curation layer isn’t tied to defending one SSP’s revenue share, so the recommendation is based on inventory quality and cost, not platform loyalty. Traders get to compare paths on a level field instead of working backward from a single vendor relationship.

5. Treat CTV and FAST Inventory as a Distinct Trading Lane

CTV and FAST inventory behave differently from open-web display, and trading them the same way leaves real performance on the table. Ad pod structure, content adjacency, and frequency dynamics in streaming environments don’t map cleanly onto display-style trading logic.

The growth numbers explain why this matters now. Programmatic CTV buying grew roughly 38 percent year over year, per Magna Global and IAB data, making it one of the fastest-growing lanes in programmatic spend. Traders who haven’t built a CTV-specific playbook are scaling into a channel with the wrong toolkit.

Live sports inventory adds another layer of complexity and opportunity. Packaged correctly, live sports CTV inventory gives D2C and brand advertisers premium, appointment-viewing reach that FAST channels alone can’t replicate. Our approach to CTV and live sports packaging treats this inventory as its own category, with curation logic built specifically for streaming environments rather than adapted from display rules.

The Bottom Line

Advertising trading in 2026 rewards traders who treat supply quality as a daily discipline, not a quarterly fix. Supply path optimization, curated PMP deals, bid enrichment, SSP diversification, and a dedicated CTV playbook all point at the same underlying problem: too much ad spend leaks out through paths that never should have been part of the buy in the first place.

None of these five strategies require a complete platform overhaul to start. They require visibility into where spend is actually going and a willingness to route around the paths that aren’t earning their cut. Learn more about why our approach skips the usual industry noise, or get in touch to talk through how curated supply paths could tighten up your next campaign.

Frequently Asked Questions

What is advertising trading in programmatic advertising?

Advertising trading is the practice of buying digital ad inventory through automated, real-time auctions and private marketplace deals, typically managed by a trader inside a DSP. It covers sourcing inventory, setting bid strategy, managing supply paths, and optimizing campaigns against performance goals across display, video, audio, and CTV channels.

How does supply path optimization improve advertising trading outcomes?

Supply path optimization reduces the number of intermediaries between a trading desk and a publisher’s inventory, cutting out redundant fees and improving transparency. For traders, that means more of the budget reaches working media instead of getting absorbed by stacked SSP and exchange markups along the way.

What’s the difference between bid enrichment and bidstream data?

Bidstream data is the raw set of signals passed in a bid request, like device type, content category, and basic context. Bid enrichment is the process of adding to those raw signals, layering in identity-adjacent or contextual data so the bid request carries enough information for the DSP to bid with confidence.

Why does CTV require a different trading approach than open-web display?

CTV inventory runs through ad pods, has different frequency dynamics, and carries premium pricing tied to content adjacency and viewing context. A trading strategy built for open-web display doesn’t account for these mechanics, which means traders applying display logic to CTV are likely under-optimizing both spend and performance.