The advertising landscape moves fast — and for performance marketers, staying on top of platform shifts, measurement innovations, and new buying opportunities can make the difference between hitting targets and missing them. Our team of industry experts has curated the week’s most impactful updates to keep you informed on what matters for your campaigns.
6 of the Most Important Performance Advertising Industry News Updates (And Our Expert’s Take on Them)
Update 1: DSP Competition Intensifies — Here’s How Buyers Are Ranking Them
Performance advertisers now have more choice than ever, but not all demand-side platforms (DSPs) are created equal. A Digiday Scorecard based on rankings from 13 media buyers shows Yahoo DSP and The Trade Desk leading the pack with aggregate scores of 7.3 and 7.2 respectively, followed by DV360 at 7.0, with Amazon DSP trailing at 6.1. The Trade Desk scored highest on transparency and inventory quality but came up weakest on pricing — a critical tension for performance teams managing tight cost-per-mille (CPM) budgets. Meanwhile, DV360 remains “effectively mandatory for YouTube access,” creating a lock-in dynamic that performance buyers have to navigate strategically.
Omri Bitan, head of strategy: “This research shows us there are really no clear winners in the DSP landscape — each one has some high points and some glaring disadvantages, without a real ‘go-to.’ — buyers are looking for channels that can offer the advantages they seek, like unique supply and access to data — and that’s especially true in the age of AI.”
Update 2: OpenAI Adds Conversion Tracking for ChatGPT Ads — Closing the Measurement Gap
Since ChatGPT launched ads earlier in 2026, performance advertisers have faced a critical question: Do these ads actually drive conversions? To answer that question, OpenAI partnered with LiveRamp to add conversion measurement through LiveRamp’s Conversions API (CAPI) Hub, which now allows advertisers to track in-store purchases with no minimum spend required. Online conversion tracking is planned for later this year. This brings ChatGPT toward measurement parity with Google, Meta, TikTok, and Pinterest — and removes a major barrier to budget allocation. OpenAI is anticipating $2.5 billion in ad revenue for 2026, with a target of $100 billion by 2030.
Omri Bitan, head of strategy: “Conversion tracking is table stakes for performance platforms, and closed platforms adding third-party measurement APIs shows the market is moving toward more transparent attribution. The real insight here is that advertisers need flexibility in measurement — not dependence on a single platform’s opaque conversion model. On the open web, through Realize, you maintain first-party control over your conversion data and audience insights. This means better data portability, cleaner attribution logic, and the ability to leverage your measurement across multiple channels without being locked into proprietary algorithms.”
Update 3: Amazon DSP Adds Pre-Bid Attention Targeting — Filtering Low-Quality Inventory
Quality and efficiency go hand-in-hand for performance advertisers. Amazon DSP now integrates Adelaide’s AU attention metric for pre-bid targeting, letting buyers filter toward higher-attention placements and away from low-attention inventory. Amazon is also introducing an exclusive AU Quality Floor that excludes the bottom 10% of inventory and made-for-advertising (MFA) sites identified by Jounce Media. The AU metric is already available in Trade Desk, Viant, Yahoo DSP, Adobe Advertising, and Equativ — but Amazon’s adoption signals a broader industry shift toward attention as a targeting dimension alongside audience and context.
Omri Bitan, head of strategy: “The industry’s push to filter out low-quality and made-for-advertising inventory reflects a fundamental truth: supply quality is the foundation of performance. What many advertisers don’t realize is that this problem is largely solved by building on the right network from the start. The Realize advantage is that our network is built directly with the world’s leading premium publishers — 9,000-plus direct integrations with high-quality editorial environments. This means you’re not buying from junk inventory pools and then filtering them out; you’re starting with premium supply where brand safety and performance align naturally. That’s why many performance advertisers choose Realize — the network design itself prevents the MFA and low-quality inventory problems others are scrambling to solve.”
Update 4: TikTok Repositions as Full-Funnel Performance Platform — Not Just Brand Awareness
For years, TikTok was positioned as a brand-awareness channel. That narrative is shifting. TikTok is now actively pitching itself as a full-funnel performance platform, citing a 40% year-over-year increase in daily searches and a collapsed funnel where discovery and conversion happen in a single session. The platform is launching TikTok Funnel HQ and promoting Smart+ and GMV Max automated buying tools. According to TikTok’s global head of business marketing, the biggest misconception remains that “TikTok is just a brand platform and not a performance platform.”
Omri Bitan, head of strategy: “TikTok’s repositioning to full-funnel performance is real, but it also highlights a critical blind spot for most performance advertisers: over-concentration on social platforms. While TikTok, Meta, and Google fight for feed dominance, you can diversify your funnel across premium publisher inventory without social algorithm dependency. The collapsed funnel opportunity TikTok is promoting? You can achieve it through contextual targeting and audience strategies that work across a 9,000-plus publisher network.”
Update 5: Agentic Commerce Reshapes Google Ads — New Performance Surface for E-commerce
The rise of AI shopping agents is creating a new performance advertising dynamic. Google’s “Buy for Me” agentic checkout is now live in AI mode with partners including Wayfair, Chewy, and Quince. Google has also introduced a Universal Commerce Protocol with Shopify, Etsy, Walmart, and Target. The article highlights how product feeds are becoming bidding signals and notes Google’s merchant-funded Direct Offers pilot. For e-commerce performance advertisers, this represents a fundamentally different buyer journey — agents compare and transact on behalf of users, changing how conversion signals flow back to campaigns.
Omri Bitan, Head of Strategy: “Agentic commerce is a structural shift, and here’s the critical insight: Full-on agentic buying is only at its early phases, and the more near-term opportunity is agentic buying of media. Agents value clean, contextual data over algorithmic black boxes. When AI agents evaluate placements, they care about content relevance, audience intent, and advertiser transparency — exactly what the open web delivers through contextual targeting and direct publisher relationships. Performance advertisers who combine first-party data, audience targeting, and contextual placement, will find their inventory more competitive in agentic auctions because it’s built on data agents can parse and evaluate. ”
Update 6: TripleLift Launches TL Direct — Unified Self-Serve Buy/Sell Orchestration
Fragmented workflows are a drag on performance optimization. TripleLift made its TL Direct self-serve platform generally available, giving buyers and sellers unified control over curated deals across web, mobile, and connected TV (CTV) with user interface (UI), API, and model context protocol (MCP)-based access. A commissioned Forrester study found it can save an average of 40 hours per campaign. Early partners include Raptive and Amerge. For performance teams running campaigns across multiple channels and deal structures, this represents a consolidation opportunity: fewer logins, less manual trafficking, more time optimizing.
Omri Bitan, head of strategy: “Platform consolidation is a performance lever people don’t talk about enough, but consolidation itself isn’t the answer — transparency is. When you’re managing campaigns across multiple channels, what matters is clear visibility into inventory quality, audience reach, and conversion efficiency. You need a platform that reduces the need for complex orchestration layers by giving you native multi-channel reach and reporting. The real efficiency gain isn’t fewer logins; it’s fewer black boxes.”
What This Means for Performance Advertisers
The through-line across these updates is clear: measurement is maturing, quality is becoming a competitive advantage, and new channels are forcing performance teams to expand their definition of full-funnel.
Whether it’s conversion tracking closing gaps at new platforms or AI agents reshaping e-commerce journeys, performance advertisers in 2026 have more tools — and more pressure — to optimize efficiently across a fragmented landscape. The winners will be teams that stay close to these shifts and move quickly to test them.
FAQs: Questions Performance Advertisers Are Asking
FAQ 1: Which DSP should I use for performance campaigns in 2026?
The short answer: There’s no single best DSP anymore — but the real strategic question is whether you’re diversifying beyond walled gardens into the open web.
For pure-play performance (search, direct response), closed platforms like The Trade Desk offer strong transparency and inventory depth, but they come with vendor lock-in and limited supply diversification and aren’t really geared to performance at their core. For YouTube-heavy campaigns, you’re effectively locked into DV360. For CTV campaigns, multiple platforms claim parity, but inventory quality varies significantly.
The open web opportunity: Open-web platforms offer a fundamentally different value proposition — direct publisher relationships (9,000-plus integrations), contextual relevance that doesn’t rely on cookies, and first-party audience control. This matters especially as privacy regulations tighten and third-party data becomes less reliable. Contextual targeting on premium publisher inventory delivers comparable performance to audience-based DSPs but with better brand safety, transparent inventory, and data portability.
Best practice: Build a diversified media mix rather than concentrating on one DSP. Allocate 50-60% to your primary performance channel, 30% to test challengers (including open-web platforms), and 10-20% to experimental channels. Use contextual and audience signals to understand where your highest return-on-investment (ROI) conversions come from — you may find open-web inventory outperforms premium social in unexpected categories.
FAQ 2: Should I allocate budget to TikTok for performance campaigns, or is it still just for brand awareness?
The short answer: TikTok is now a legitimate performance channel, especially for e-commerce, D2C, and mobile app install campaigns.
The data speaks: 40% year-over-year increase in search volume and TikTok’s own Smart+ and GMV Max automated buying products are built for conversion optimization, not just reach. Early performance advertisers testing TikTok as a conversion channel (not just awareness) are seeing strong results, particularly in categories like fashion, beauty, home goods, and mobile apps where impulse and discovery align.
Caveat: TikTok performs differently than Meta or Google. The audience skews younger, the creative expectations are different (authenticity > polish), and the conversion window is often same-session or next-session. If your audience is Gen Z or millennial, and your product has impulse-buy appeal, test it. If your audience is 45-plus, or your product requires long consideration, hold off for now.
Best practice: Run a 30-day test with a dedicated budget allocation (start with 5-10% of your ad spend). Use TikTok’s conversion tracking and Smart+ optimization to gather performance data. If return on ad spend (ROAS) meets your threshold, expand. If not, you’ve learned it’s not the channel for you without over-committing.
FAQ 3: How should I think about conversion tracking and attribution when AI agents are doing the buying?
The short answer: Traditional last-click attribution breaks down when AI agents are in the loop, but open-web performance platforms have a structural advantage: first-party data control and transparent audience signals.
Here’s the opportunity: In agentic commerce, the agent’s decision-making is based on data it can evaluate transparently — product data, pricing, audience context, and conversion signals. Closed platforms with proprietary algorithms are actually at a disadvantage in agentic systems because agents can’t reliably parse them. Open-web platforms and contextual signals are naturally more agent-friendly because they’re built on transparent content analysis and first-party audience data.
What to do:
- Shift your focus from campaign metrics to feed quality and audience data transparency: Are your product descriptions contextually aligned? Is your audience data clean and first-party sourced?
- Invest in contextual relevance: Agents evaluate content-to-product fit. Using contextual targeting strategies ensures your ads appear in high-relevance contexts where agent recommendations will favor your product.
- Use first-party audience data as your anchor: Build and own your audience segments (lookalikes, website visitors, CRM data). Agents can understand and value transparent first-party signals better than opaque third-party audiences.
- Track feed-level and context-level performance, not just final conversions: Measure which content contexts drive the highest-value conversions, then optimize your contextual targeting and product positioning to match those contexts.
Best practice: Start auditing your first-party audience data and product feed alignment now. Advertisers can use contextual targeting to understand which content contexts convert best for your products, then build predictive audiences based on those high-performing contexts. This gives you a native advantage in agentic auctions because your inventory and audience signals are transparent, contextually relevant, and agent-parseable.
