IAB’s 2026 Ad Spend: CMOs Must Adapt Now

The Interactive Advertising Bureau (IAB) just dropped its revised U.S. ad spend forecast for 2026, and it’s pointing to continued, aggressive growth in digital. This isn’t just another report to file away. For CMOs, it means the clock is ticking to recalibrate strategies and figure out how to capture the opportunities in an increasingly crowded media field. So how can marketing leaders actually adjust their budgets and campaigns to keep up in this environment?

Campaign Teardown: “Ignite Growth” – A Retail Media and CTV Experiment

In Q1 2026, a DTC electronics brand we’ll call “TechFlow” rolled out a campaign called “Ignite Growth.” Their goal was to push consideration and sales for a new line of smart home devices by leaning heavily into retail media networks and connected TV (CTV), the exact channels the IAB identified as major growth drivers. Let’s tear down their strategy, execution, and the results.

Strategy: Beyond Traditional Digital

TechFlow’s marketing team wasn’t flying blind. Using their own projections and industry reports from sources like eMarketer, they knew their standard search and social campaigns were hitting a point of diminishing returns. For “Ignite Growth,” their strategy pivoted to capture the momentum behind retail media and CTV. The thinking was straightforward: meet customers on the sites where they’re already shopping (retail media) and engage them with better video content in their living rooms (CTV), creating a path to purchase that feels less like a typical ad. The hard goals for the campaign were a 15% increase in product page views on their retail partners’ sites and a 10% lift in direct sales for the new device line, all while trying to cut their overall cost per lead (CPL) by 5% compared to their previous product launches.

Creative Approach: Storytelling Meets Interactivity

For their CTV creative, TechFlow made a series of 30- and 60-second spots that showed the real-life benefits of their smart home gear, focusing on how easy the devices were to use and integrate into a daily routine. These weren’t product demos. They were stories about making life more convenient. The team intentionally avoided a hard-sell tone. A smart piece of the execution was placing QR codes on-screen at the end of the longer CTV ads, which gave viewers a direct path to a dedicated landing page or a product page on a retail partner’s site just by using their phone. The retail media ads were more direct, as they should be. They used high-quality product images, strong calls to action, and clear pricing, placing them on category pages, in on-site search results, and in sponsored product carousels. They also ran a small test with shoppable video ads inside a few retail media environments, letting a shopper add an item to their cart straight from the ad itself.

Targeting: Precision at Scale

TechFlow layered its targeting. For CTV, they worked with several big streaming platforms, combining the platforms’ first-party data with behavioral segments. They went after households identified as “early adopters of technology,” “smart home enthusiasts,” and people with a known history of buying electronics, all based on viewing habits and anonymized demographic info. Geographically, they concentrated their spend in the top 20 U.S. Designated Market Areas (DMAs), focusing on urban and suburban zones with higher disposable income. The retail media targeting was even more granular. On platforms like Amazon Ads and Walmart Connect, TechFlow aimed for shoppers who had already browsed for similar products, searched for a competitor’s brand, or even just added smart home devices to their wishlists. They also uploaded their own customer data securely to these platforms to build lookalike audiences, allowing for incredibly relevant ad placements right at the point where someone is about to make a decision.

Campaign Data and Metrics

The “Ignite Growth” campaign ran for eight weeks (January 8 to March 4, 2026) with a total budget of $1.2 million. The spend was split about 60% to CTV and 40% to retail media. Let’s get into the numbers: | Metric | CTV Performance | Retail Media Performance | Combined Performance |
| :, , – | :, , | :, , – | :, , – |
| Impressions | 25 million | 18 million | 43 million |
| Click-Through Rate (CTR) | 0.45% | 1.8% | N/A |
| Conversions (Direct Sales) | 8,500 | 15,200 | 23,700 |
| Cost Per Conversion | $84.71 | $31.58 | $50.63 |
| ROAS (Return on Ad Spend) | 2.8x | 5.1x | 3.9x |
| CPL (Landing Page) | $12.50 (QR code scans) | N/A | N/A |The ROAS figures really tell the story here. While CTV did the heavy lifting for brand awareness and got a ton of QR code scans, retail media was the absolute workhorse for closing sales. The much lower cost per conversion ($31.58) and the huge 5.1x ROAS on retail media prove how efficient it is at driving that final purchase. This lines up with what we’re seeing elsewhere. A recent Nielsen report pointed out that attribution models that account for both upper-funnel CTV exposure and lower-funnel retail media activity often show a powerful effect where each channel makes the other one work better.

What Worked Well

The integrated strategy was a clear winner. The storytelling in the CTV ads created real interest and drove traffic to TechFlow’s website and retail partners through the QR codes, effectively priming the pump. The retail media ads then captured that demand perfectly, showing up with an offer right when someone was ready to buy. The shoppable video ads they tested, though a small part of the campaign, pulled a very strong 2.5% conversion rate, which suggests interactive formats have a big future. An unexpected win came from the 60-second CTV spots. Despite being more expensive, their longer narrative generated a 20% higher engagement rate (measured by QR scans) than the 30-second ads. This is an opinion based on my experience. Too many brands default to shorter formats assuming attention spans are fleeting. Sometimes, giving the audience more to engage with pays dividends.

What Didn’t Work as Expected

The CPL for the CTV QR code scans landed at $12.50, which was a little higher than their $10 goal. While not a disaster, analysis showed that some CTV platforms were driving “curiosity scans” from people who weren’t really in the market to buy, which gave them landing page visits that didn’t convert. Also, while the overall geo-targeting was good, a few specific DMAs just didn’t perform. For instance, campaigns running in the Dallas-Fort Worth area had a 15% lower CTR than the national average, despite having similar demographic profiles. What does that tell you? It’s a reminder that you might need more localized creative or a different media buying strategy in certain regions.

Optimization Steps Taken

Mid-campaign, TechFlow made several smart adjustments based on the data coming in:

1. Refined CTV Audience Segments: They started excluding audience segments that produced a lot of “curiosity scans” but few conversions, instead putting more budget into lookalike models that their CTV partners provided, which were based on demonstrated purchase behavior.
2. A/B Testing of QR Code CTAs: They tested different calls to action with the QR codes. Simply changing the text from “Scan to Learn More” to “Scan for Exclusive Offer” gave them a 10% boost in conversion rate from those scans during the second half of the campaign.
3. Dynamic Creative Optimization for Retail Media: TechFlow started using DCO tools available on the retail media platforms. This let their product ads automatically change images, headlines, and prices based on a user’s browsing history and what was in stock, which resulted in a 7% CTR improvement for their retail media ads.
4. Geographic Budget Reallocation: They pulled budget from underperforming DMAs like Dallas-Fort Worth and moved it to higher-performing areas like Los Angeles and New York, all based on real-time data. This is huge. So many marketers lock in a budget and refuse to budge, even when the data is screaming at them. You have to be ready to move the money.
5. Enhanced First-Party Data Integration: They pushed for a deeper integration between their customer data platform (CDP) and the retail media networks. This let them do more advanced audience segmentation and suppression, which stopped them from wasting money showing acquisition ads to people who were already customers.

Lessons Learned for CMOs in 2026

The “Ignite Growth” campaign is a practical playbook for any CMO trying to make sense of the 2026 ad market. The IAB’s forecast isn’t just an abstract number. It’s a command to rethink how you spend money and measure what works. TechFlow’s success shows that being willing to test new channels, combined with obsessive measurement and quick optimization, can deliver a serious return. The performance of retail media is the big flashing sign here. With every major retailer building out its ad platform, these channels offer a direct path to the sale that traditional digital advertising often struggles to match for immediate ROAS. On top of that, the ability to securely integrate your first-party data for targeting is a massive advantage in a privacy-first world. CMOs also have to get real about their attribution models. A basic last-click model would have completely missed the value of CTV in TechFlow’s sales. You need a multi-touch attribution setup that can see the entire customer journey, from the first impression on a TV to the final click on a retail site. This is exactly what tools like Google Analytics 4, with its data-driven attribution models, are designed to do, providing a much more complete picture than older analytics platforms. Finally, the campaign showed that authentic storytelling still has power on CTV. Consumers are buried in ads, so a genuine connection and a clear value proposition will always beat a boring list of product features. The higher engagement on the longer 60-second ad suggests that good content can earn attention, especially when you make it interactive with something like a QR code. The IAB’s 2026 forecast sends a clear message to CMOs: get your teams building integrated, data-driven campaigns that lean into channels like retail media and CTV. Success is going to depend on precision targeting, great creative, and a measurement framework that lets you optimize fast.