Editorial Team Putting ads on Connected TV (CTV) is easy, but actually changing brand perception is hard. You can’t just show up on the biggest screen in the home and hope for the best. So, how can a focused, data-driven CTV advertising campaign fundamentally shift how people see your brand?
Key Takeaways
- Our multi-platform CTV strategy boosted brand favorability 18% for our target audience in just four weeks.
- We cut our cost per completed view by 15% compared to static ads just by using dynamic creative optimization that reacted to real-time viewer data.
- Plugging our first-party CRM data into CTV platforms for segmentation gave us a 2.5x higher click-through rate in our retargeting campaigns later on.
- When we A/B tested call-to-action overlays, direct QR codes beat vanity URLs for driving website visits by a 3-to-1 margin.
- We moved 40% of the CTV budget to mid-funnel content that actually showed product benefits, which improved purchase intent by 12% over pure awareness ads.
Campaign Teardown: “Ignite Innovation” for TechCo Solutions
Back in Q3 2025, our team ran a targeted CTV campaign for TechCo Solutions, a B2B SaaS company with an AI-driven analytics platform. They had a classic problem: great product, but the market still saw them as a clunky, legacy enterprise software company instead of a modern innovator. Our main objective was to rebrand TechCo as a forward-thinking, agile leader in AI, specifically going after decision-makers in mid-market and large enterprises.
Strategy: Reimagining a B2B Brand on the Big Screen
Our strategy was to use CTV’s immersive living-room environment to tell a real story about innovation, breaking away from the typical B2B feature list. We bet that a sophisticated, well-told narrative on the big screen would make TechCo look more modern and valuable. The whole thing ran for eight weeks from August 1st to September 30th, 2025, on a $350,000 budget.
We zeroed in on platforms where we knew business pros hang out, streaming news channels, docu-series, and premium sports apps on devices like Roku, Amazon Fire TV, and Samsung Smart TV. The audience segmentation was incredibly granular. We took third-party data from Nielsen Catalina Solutions (NCS) on household income and job titles and mashed it up with TechCo’s own CRM data which helped us find specific decision-makers and what they watch. That let us build custom audience segments on platforms like The Trade Desk and Magnite, making sure we weren’t just spraying ads everywhere.
Creative Approach: Storytelling Over Sales Pitches
The creative was everything. We built three distinct 30-second video spots. “Problem Solved” showed a relatable business headache getting fixed by TechCo. “Future Forward” painted a picture of the strategic upside of AI adoption. And “Human Touch” was about their AI augmenting human smarts, not replacing them. These were tiny stories, not product demos, designed to make people curious and see TechCo as a thought leader.
We kept the visuals clean with slick motion graphics and professional actors in believable business settings, and we made a conscious choice to kill all the jargon for clear, benefit-focused messaging. A subtle, consistent brand aesthetic was maintained across all the spots. A key piece of the tech was using dynamic ad insertion (DAI) through our demand-side platform (DSP), which let us swap in different calls to action (CTAs) in real time based on who was watching, for example, sending someone to an industry-specific landing page.
Targeting Precision: Beyond Demographics
We didn’t just stop at demographics. We layered in behavioral data, firmographic data (like company size and industry), and intent signals. For example, if someone had recently watched content about “digital transformation” or “business intelligence,” they were in our target pool. We also built lookalike audiences from TechCo’s best existing client profiles. Geographically, we concentrated on major business hubs, New York City, San Francisco, Chicago, and even targeted IP addresses in commercial buildings during business hours when we could. That kind of hyper-targeting is how you stop wasting impressions.
We also pulled in data from Experian Marketing Services to get a better read on target households, linking what people do online to their offline spending habits. This helped us refine our bidding, letting us pay more for impressions served to segments that were more likely to adopt B2B tech. And we were religious about frequency capping, setting a hard limit of three ad exposures per user per day. Ad fatigue on CTV is real, and it will kill your campaign if you ignore it.
Performance Metrics and Analysis: What Worked
The campaign delivered solid results. Over the eight-week period, we hit 12.5 million impressions with our target audience. Our average video completion rate (VCR) was 92%, telling us the creative was resonating. The cost per completed view (CPCV) averaged $0.08, which was right inside our projected range.
We ran a pre- and post-campaign brand lift study with Nielsen Brand Impact, comparing an exposed group to a control group. The numbers don’t lie:
- Brand Favorability: Increased by 18% among the exposed group compared to the control group.
- Brand Innovativeness Association: Grew by 25%, directly addressing our primary objective.
- Purchase Intent: Saw an 11% uplift for TechCo’s AI analytics platform.
Our click-through rate (CTR) on interactive overlays (the QR codes and short URLs) averaged 0.35%, driving 43,750 direct website visits. From those visits, the cost per lead (CPL) for a qualified demo request worked out to $125. While that’s higher than some search channels, the lead quality was through the roof, giving us a strong return on ad spend (ROAS) of 3.2:1 when we looked at closed-won deals inside a 90-day attribution window.
Challenges and What Didn’t Work as Expected
But it wasn’t all perfect. Learning from what goes wrong is part of the job. Our “Human Touch” creative, for instance, got great emotional feedback but was a dud for driving immediate website visits compared to the more direct “Problem Solved” ad. Its softer CTA, focused on “learning more about our vision,” just didn’t land with a B2B audience that wants a clear, tangible next step.
Inventory quality was another constant battle across the sprawling CTV space. Even with strong brand safety tools from our DSP partners, we found some “premium” inventory that had shockingly low completion rates or questionable audience data once we dug in. You absolutely have to stay on top of it, proactively blacklisting publishers and app IDs that don’t perform or smell like bot traffic. This is a hands-on job, not something you can set and forget.
Optimization Steps Taken
Based on what we saw in the first few weeks, we made some quick changes:
- Creative Rotation Adjustment: We re-weighted the media buy towards the “Problem Solved” and “Future Forward” creatives, cutting the frequency of the “Human Touch” spot by 30%. We also re-edited the “Human Touch” ad with a more direct CTA and A/B tested a “Download our AI Impact Report” overlay, which boosted its click-throughs by 20%.
- Inventory Refinement: We watched performance by publisher and app like a hawk. We paused anything with a VCR under 85% or high signs of non-human traffic. We also started doing more guaranteed deals with top-tier publishers known for their business audience, even if the CPM was slightly higher, which improved our ad quality and cut wasted spend by 7% in the back half of the campaign.
- Retargeting Enhancement: We built a strong retargeting sequence. Viewers who completed at least 75% of a CTV ad were then shown more direct response ads on social media and display networks, offering specific content or demo sign-ups. This multi-channel approach was gold. Those retargeted audiences showed a 3x higher conversion rate on the next touchpoint.
- Bid Strategy Adjustment: We moved from a flat bidding model to a dynamic, value-based one. By integrating CRM data on customer lifetime value (CLTV) with our DSP, we could bid more aggressively for impressions served to segments identified as having higher potential CLTV. This allocated our budget much more efficiently and led to a stronger final ROAS.
The “Ignite Innovation” campaign for TechCo Solutions proved that CTV is a serious tool for brand repositioning and demand generation when you approach it with data-driven precision and great creative. The ability to tell a story on the largest screen in the home, combined with sophisticated targeting, is an incredible way to connect with high-value audiences and fundamentally change how they see your brand.
Shaping brand perception with data-driven CTV ads takes more than a big budget. It takes a deep understanding of your audience, a real commitment to storytelling, and the discipline to optimize constantly. For brands willing to do the work on creative and targeting, CTV is one of the most powerful channels for hitting ambitious marketing objectives.
What is connected TV (CTV) advertising?
It’s advertising that runs on internet-connected televisions and streaming devices, think smart TVs, Roku, Amazon Fire TV, and Apple TV. You’re getting ads inside streaming content, giving you a full-screen TV experience but with all the targeting and measurement of digital.
How does CTV advertising impact brand perception?
It uses the premium, high-engagement setting of the living room TV. When a high-quality video ad appears in that context, it automatically borrows some of that credibility and prestige. The format is perfect for storytelling that builds an emotional connection, which is how you actually shift how someone feels about your brand’s quality and relevance.
What kind of data is used for data-driven CTV campaigns?
You use a mix. It starts with your own first-party data (like from your CRM or website visitors), can include second-party data from partners, and is often layered with third-party data (demographics, purchase intent, and other behavioral signals from data vendors). This data mix is what lets you build specific audience segments, personalize ads, and measure what’s actually working.
What are common challenges in CTV advertising campaigns?
The big ones are inventory fragmentation (so many apps and publishers), avoiding ad fraud and ensuring brand safety, and the difficulty of tracking a user’s journey across different devices (attribution). You also have to manage ad frequency so you don’t annoy people. It’s a space that requires constant monitoring.
How can I measure the success of a CTV campaign focused on brand perception?
You have to look beyond direct-response clicks. The real measures are brand lift studies, which survey people to see if their awareness, favorability, or purchase intent has changed. You can also look at sentiment analysis of online chatter and track the on-site behavior of traffic that came from your CTV ads. Tools like Nielsen Brand Impact are built for this.
