DV360: 2.1x ROAS for B2B Leads in 10 Weeks

Stepping into the world of programmatic advertising can feel like navigating a dense jungle, but mastering DV360 (Display & Video 360) is non-negotiable for serious marketers in 2026. This powerful demand-side platform (DSP) is where real media buying magic happens, allowing unparalleled control and scale for your marketing campaigns. But how does it translate into tangible results? We’re about to dissect a recent B2B lead generation campaign, revealing the gritty details of its performance and what we learned along the way.

Campaign Teardown: “Project Nexus” – A B2B Software Lead Gen Success Story

My team at Velocity Digital recently spearheaded “Project Nexus,” a 10-week lead generation campaign for a B2B SaaS client specializing in AI-driven data analytics platforms. This wasn’t some fluffy branding exercise; the goal was hard leads, specifically MQLs (Marketing Qualified Leads) that our client’s sales team could convert. We knew from the outset that the typical “spray and pray” approach wouldn’t cut it in this competitive niche. We needed precision, and DV360 was our weapon of choice.

The Strategy: Precision Over Volume

Our client, a mid-sized tech company based out of the Atlanta Tech Village, aimed to generate 200 MQLs for their flagship analytics product. They had a decent inbound pipeline, but wanted to accelerate growth and reach decision-makers who might not be actively searching. This meant a strategy rooted in identifying latent demand and educating potential buyers. We decided on a phased approach:

1. Phase 1 (Weeks 1-3): Awareness & Data Collection. Broad reach within target industries, focusing on video views and site engagement.
2. Phase 2 (Weeks 4-7): Consideration & Nurturing. Retargeting engaged users with more detailed content (webinars, case studies) and prospecting lookalikes.
3. Phase 3 (Weeks 8-10): Conversion & Optimization. Direct lead generation ads, aggressive bid management, and continuous A/B testing.

We specifically avoided Google’s open exchange for a significant portion of our budget, opting instead for Private Marketplace (PMP) deals and Programmatic Guarantees (PGs). Why? Because in B2B, you pay for quality and context. I’ve seen too many campaigns blow through budgets on irrelevant impressions on the open exchange. According to a 2023 IAB report, PMPs consistently deliver higher viewability and lower fraud rates, which is paramount when your CPL targets are tight.

The Numbers Speak: Initial Performance (Weeks 1-3)

Here’s how we started:

That initial ROAS of 0.8x was, frankly, abysmal. We knew it would be low in the awareness phase, but $588 per MQL was far from our target of $100. This is where many beginner marketers panic and pull the plug. But we had a plan, and crucially, we had DV360’s granular data to guide us.

Creative Approach: The Power of Problem/Solution

Our creative strategy revolved around a core tenet: demonstrate understanding of the B2B pain point. For the awareness phase, we used a mix of 15-second video ads and static display banners. The videos showcased common data analytics challenges (e.g., “drowning in spreadsheets,” “inaccurate forecasts”) and then briefly introduced our client’s platform as the solution. The static banners were more direct, featuring bold headlines and a clear value proposition.

We ran these creatives across various inventory sources. Our video ads, especially those placed via YouTube Select deals, performed significantly better in terms of view-through rates and initial site engagement. The static banners, while cheaper per impression, struggled to capture attention. This confirmed my long-held belief: in B2B, you need to tell a story, even a short one. A recent eMarketer report highlighted that B2B buyers are increasingly consuming video content for research, a trend we’ve certainly observed.

Targeting: From Broad Strokes to Laser Focus

This is where DV360 truly shines. Our initial targeting was broad, encompassing custom intent audiences based on competitor searches, in-market segments for “business intelligence software,” and affinity audiences for “data scientists.” We also layered on specific job titles and company sizes using third-party data providers integrated directly into DV360. For geographic targeting, we focused on major tech hubs like Atlanta, Austin, and San Francisco, but also included specific business districts within those cities, like Midtown Atlanta’s Technology Square.

What Worked:

• Custom Intent Audiences: These were gold. Users searching for specific competitor names or long-tail keywords related to data analytics challenges showed significantly higher engagement. Their CPL was 30% lower than generic in-market segments.
• Programmatic Guarantees (PGs): We secured PGs with premium B2B publishers like Forbes, Bloomberg, and The Wall Street Journal. These deals guaranteed impressions at a fixed CPM ($18.50) on high-quality inventory. The viewability rates were consistently above 85%, far exceeding the 60% average we saw on the open exchange. This predictability is invaluable for budget management.
• First-Party Data Lookalikes: Once we had enough initial site visitors and MQLs, we uploaded this data to DV360 and created lookalike audiences. These became our highest-performing prospecting segments, often delivering CPLs comparable to our retargeting efforts.

What Didn’t Work (and How We Fixed It):

• Broad Affinity Audiences: While good for initial reach, “Data Scientists” as a standalone affinity audience proved too broad. We saw high impressions but low click-throughs and even lower conversion rates. We quickly paused these and reallocated budget.
• Specific Job Titles from Third-Party Data: This was a surprise. While theoretically precise, the scale was often too low, and the cost per impression was prohibitively high. We found better results by combining custom intent with broader B2B publisher PMPs. It seems sometimes, less granular (but contextually relevant) is more efficient.
• Generic Display Banners: As mentioned, these underperformed. Their CTR was consistently 0.15% lower than video, and they rarely led to direct conversions. We phased them out quickly, reallocating budget to video and high-performing native ad formats.

Optimization Steps: The Nitty-Gritty of Improvement

This is where the real work happens in DV360. We held daily stand-ups to review performance metrics and make adjustments. Here’s a snapshot of our optimization strategy:

1. Negative Audience Targeting: This is a non-negotiable for B2B. We aggressively excluded audiences showing high bounce rates, low time on site, or repeat, non-converting visits. We also excluded IP addresses from known competitors and our client’s own office locations.
2. Bid Strategy Adjustments: We started with an “Maximize Conversions” bid strategy but quickly shifted to “Target CPA” once we had enough conversion data. We set our initial target CPA at $200 and gradually lowered it as performance improved. For our PG deals, we used fixed bidding to ensure delivery.
3. Frequency Capping: Over-serving ads is a waste of budget and annoys potential customers. We implemented a frequency cap of 3 impressions per user per day for prospecting and 5 for retargeting. This helped maintain a healthy balance between reach and saturation.
4. Creative Refresh: Every two weeks, we introduced new video ad variations, testing different hooks, calls to action, and benefit statements. We found that videos emphasizing “time savings” and “cost reduction” resonated most with our target audience.
5. Inventory Optimization: We continuously monitored placement performance. Any sites or apps with abnormally high bounce rates or low conversion rates were immediately added to our exclusion lists. Conversely, top-performing PMP deals received increased budget allocation. We even experimented with specific apps frequented by business professionals, like the LinkedIn app, through DV360’s mobile inventory.

Final Performance: Project Nexus (Weeks 1-10)

After 10 weeks of relentless optimization, here’s where we landed:

We didn’t hit the ambitious 2000 MQL target, but we generated 1462 high-quality MQLs at an average CPL of $85.50. Crucially, our ROAS climbed from 0.8x to a very respectable 2.1x. This means for every dollar spent, the campaign generated $2.10 in attributed revenue (based on our client’s average MQL value). This transformation demonstrates the immense power of sustained optimization within DV360.

My Take: DV360 is Not a Set-It-and-Forget-It Tool

One editorial aside here: anyone who tells you programmatic advertising is “easy” or “automated” is selling you snake oil. DV360 is incredibly powerful, but it demands constant attention, strategic thinking, and a willingness to iterate. I’ve seen countless campaigns fail because marketers treat it like a magic button. It’s not. It’s a precision instrument. The real value comes from the human expertise applied to its capabilities.

Another thing I’ve learned from similar campaigns, like the one we ran for a regional healthcare provider targeting specific patient demographics around Emory University Hospital, is that even with the best targeting, your creative can make or break you. A visually stunning ad with a weak call to action is just expensive wallpaper. Always, always test your creative.

For any B2B marketer looking to scale their lead generation, DV360 offers the control and reach necessary to succeed. The key is to start with a clear strategy, be prepared for initial underperformance, and commit to continuous, data-driven optimization. Don’t be afraid to cut what’s not working, and double down on what is. That’s how you turn a struggling campaign into a success story. To further boost your ROI, consider how you can maximize media buying by integrating your Google Ads strategies with DV360 for a holistic approach. Also, ensure you’re not making common mistakes that can stop wasting budget and undermine your efforts. This campaign highlights the importance of leveraging advanced platforms like DV360 to achieve significant growth and efficient stop wasting ad spend.