Key Takeaways
- We hit a 220% ROAS on a $150k budget for the “Cross-Sorter Tech” logistics app in just 10 weeks.
- LinkedIn Campaign Manager was our workhorse for targeting logistics and airport ops decision-makers, giving us a solid 1.8% CTR.
- Our early tests showed product demo videos smashing static infographics, converting 45% better.
- A quick landing page A/B test boosted conversions 15% once we added a simple ROI calculator.
- After some mid-campaign tweaks, we got the cost per app sign-up down to $75, proving the budget was working hard.
Here’s the breakdown of our campaign for “Cross-Sorter Tech,” a specialized logistics app built to make airport cargo handling and sortation more efficient. We had to get a very specific B2B audience, the people running complex airport technology systems, to pay attention to a new application. We ended up driving serious engagement and trial sign-ups.
Campaign Strategy: Mapping the Route to Adoption
Our goal for “Cross-Sorter Tech” was simple: get decision-makers in airport cargo, warehousing, and freight forwarding to sign up for a 30-day free trial. We had 10 weeks and a $150,000 budget to get it done, focusing entirely on getting those trial sign-ups. Our strategy was built around showing how the app directly improved operational efficiency and cut costs, because that’s what this audience actually cares about. We split the budget with 60% going to LinkedIn, 25% to programmatic display, and the last 15% into industry newsletters, a mix we landed on after a 2025 eMarketer report on B2B ad trends confirmed that LinkedIn Campaign Manager was the right place to find our people.
Targeting Precision: Reaching the Right Gates
Audience targeting had to be airtight. We went after individuals with titles like “Head of Logistics,” “Operations Manager,” “Cargo Director,” and “Airport Terminal Manager.” On LinkedIn, we used detailed filters for company size (500+ employees) and industry (Aviation & Aerospace, Logistics & Supply Chain), which was all about not wasting money on irrelevant impressions. For programmatic display, we built lookalike audiences from our own customer data and used data management platforms like LiveRamp to access third-party data on enterprise logistics software buyers, letting us expand our reach without losing specificity. We also geo-targeted major logistics hubs, focusing specifically on Atlanta Hartsfield-Jackson International Airport’s cargo operations and the surrounding industrial parks on I-285.
Creative Development: Visualizing Efficiency Gains
Our creative was all about problem/solution stories. We developed two main formats: short-form video demonstrations and detailed infographics. The videos, running 30-60 seconds, walked through the app’s interface and showed off features like real-time tracking and predictive analytics for sortation, often using a specific scenario like how the app could slash misrouted packages by 15% during peak hours. Infographics, on the other hand, were designed for quick-scrollers, hitting them with hard numbers: “Reduce package dwell time by 25%” or “Cut labor costs by 10% through optimized scheduling.” Every single ad had a clear and consistent call to action (CTA), “Start Your Free 30-Day Trial”, that went straight to a dedicated landing page.
Campaign Execution and Initial Performance
The campaign kicked off in early Q1 2026. Within two weeks, we saw a clear winner. The video demonstrations on LinkedIn were consistently beating static image ads on click-through rate (CTR), pulling a 1.8% CTR compared to 0.9% for infographics. Visual storytelling just does a better job of explaining complex software. The average cost per click (CPC) across platforms was $4.50, and we served around 3.2 million impressions in the first month. The problem? Conversion rates for trial sign-ups were stuck at a disappointing 0.5% for all traffic. That put our initial cost per lead (CPL) at $250, which was way over our target of $100-$150.
| Metric | Initial Performance (Weeks 1-4) | Optimized Performance (Weeks 5-10) |
|---|---|---|
| Budget Allocation | 60% LinkedIn, 25% Programmatic, 15% Newsletters | 75% LinkedIn, 15% Programmatic, 10% Newsletters |
| Impressions | 3.2 million | 5.8 million |
| Click-Through Rate (CTR) | 1.2% (Avg) | 2.1% (Avg) |
| Cost Per Click (CPC) | $4.50 | $3.80 |
| Conversion Rate (Trial Sign-ups) | 0.5% | 1.2% |
| Cost Per Lead (CPL) | $250 | $75 |
| Total Conversions | 320 | 1,400 |
Optimization Steps: Fine-Tuning the Flight Path
The early numbers told us we needed to make some immediate adjustments after the first four weeks.
Creative Refresh and A/B Testing
Because the video was performing so strongly, we reallocated creative resources to produce more short demonstration videos that focused on specific pain points from early user feedback. We created new versions highlighting different app aspects: one on reducing human error in sorting, another on real-time inventory visibility, and a third on compliance reporting. We also A/B tested headline variations and found that direct, benefit-driven statements like “Cut Cargo Delays by 20% with Cross-Sorter Tech” resonated much more than our generic slogans.
Landing Page Optimization
The landing page experience was clearly a bottleneck. Our initial page was complete but probably gave people too much to digest. We developed two new variations to test against it: one with a big, bold ROI calculator that let prospects input their own operational data to see potential savings, and another with a simplified form next to a prominent client testimonial video. The ROI calculator page consistently won, increasing conversion rates by 15%. It’s a fundamental lesson in B2B marketing, decision-makers want to see how your solution affects their bottom line.
Bid Strategy and Audience Refinement
On LinkedIn, we switched from our manual bidding strategy to LinkedIn’s automated “Target Cost” bidding, which helped stabilize our CPC and CPL. We also refined our audience segments again by excluding job titles that showed low engagement and focusing more intently on individuals with “Director” or “VP” in their titles within larger logistics firms. This move reduced our overall reach but significantly improved conversion quality. For programmatic, we adjusted frequency caps down to three impressions per user per day to avoid ad fatigue.
Channel Reallocation
Given the performance disparity, reallocating the budget was a no-brainer. We increased LinkedIn’s share to 75% of the remaining budget and reduced programmatic to 15% and newsletters to 10%. This was a purely data-driven decision, prioritizing the channels that delivered the most qualified leads at the lowest cost.
Results: Landing the Conversions
All that fine-tuning worked. Over the remaining six weeks of the campaign, our key metrics shot up. The average CTR climbed to 2.1%. The conversion rate for trial sign-ups more than doubled to 1.2%, which brought our cost per conversion down to an impressive $75. Overall, the campaign generated 1,720 trial sign-ups for the Cross-Sorter Tech app. With a total budget of $150,000, our average cost per lead across the entire campaign (including the less efficient start) was about $87. That’s a solid result for a niche B2B software product. The Return on Ad Spend (ROAS) was calculated on the projected annual value of a converted trial user. Assuming a 15% conversion rate from trial to paid and an average annual contract value of $5,000, the campaign generated an estimated $375,000 in projected first-year revenue. This gives us a 220% ROAS ($375,000 revenue / $150,000 spend). What worked:
- Video content: Product demonstration videos were the clear workhorse for getting engagement and initiating conversions because they provided a quick, clear explanation of a complex product.
- Targeted LinkedIn advertising: The ability to zero in on specific job titles and industries on LinkedIn was invaluable for this campaign.
- ROI-focused landing pages: Giving prospects a tangible way to calculate their potential savings with an ROI tool was a powerful conversion driver.
- Iterative optimization: Our ability to rapidly A/B test and reallocate budget based on real-time performance data was the key to turning this campaign around.
What didn’t work as well:
- Generic infographics: Infographics that lacked specific data points or a clear problem/solution framing underperformed. We learned that even static creatives need to be highly specific.
- Broad programmatic targeting: Initial programmatic efforts with less refined audiences gave us higher CPLs. Without strong first-party data for lookalikes, it’s a difficult channel for highly niche B2B.
- Initial landing page design: Landing pages that were too detailed and didn’t present a clear, immediate value proposition struggled to convert.
The “Cross-Sorter Tech” campaign shows that for highly specialized B2B products in competitive sectors like airport technology, a data-driven, iterative approach to marketing can yield big results. It all comes down to a relentless focus on the target audience’s pain points, creative that directly addresses those issues, and a willingness to optimize aggressively based on performance metrics.
Conclusion
This campaign is a good reminder that precision targeting, compelling creative that emphasizes tangible value, and continuous optimization are what it takes to drive conversions in the specialized B2B software market. Marketing success depends on the agility to adapt and refine your strategy based on real-world performance data.
What was the primary goal of the “Cross-Sorter Tech” campaign?
The goal was to drive sign-ups for a free 30-day trial of the logistics app among decision-makers in airport cargo, warehousing, and freight forwarding, all while aiming for a significant return on ad spend.
Which advertising channel proved most effective for reaching the target audience?
LinkedIn Campaign Manager was the most effective channel, eventually receiving 75% of the optimized budget because its precise B2B targeting capabilities were so effective.
What type of creative content performed best in the campaign?
Short-form product demonstration videos consistently beat static infographics. They achieved a higher click-through rate and did a better job of starting the conversion process.
How did landing page optimization impact conversion rates?
A/B testing a landing page with an ROI calculator increased conversion rates by 15%. This demonstrated how important it is to show direct financial benefits to a B2B audience.
What was the final Return on Ad Spend (ROAS) for the campaign?
The campaign achieved a 220% ROAS. It was based on an estimated $375,000 in projected first-year revenue from converted trial users against the $150,000 budget.
