$25K Campaign: How We Boosted B2B Discoverability 2.5x

Achieving strong discoverability for your product or service isn’t just about having a great offering; it’s about making sure your target audience can actually find you. Many businesses struggle with this fundamental challenge, pouring resources into creation but neglecting the crucial step of connection. We’re going to break down a real-world marketing campaign to show you precisely how we tackled this, and what you can learn from our successes and missteps. Ready to uncover the secrets to getting found?

Unpacking the “ScaleUp AI” Campaign: A Discoverability Deep Dive

At my agency, we recently helmed a campaign for “ScaleUp AI,” a nascent B2B SaaS platform specializing in predictive analytics for e-commerce inventory management. Their core problem? A superior product stuck in obscurity. They knew their solution saved businesses millions, but no one knew they existed. Our mission was clear: generate qualified leads and establish initial market presence within a competitive niche. This wasn’t about brand awareness; it was about getting in front of decision-makers actively seeking a solution. This is where discoverability marketing truly shines.

The Client & The Challenge

ScaleUp AI offered a sophisticated, AI-driven inventory optimization tool. Their ideal customer profile (ICP) was e-commerce managers, supply chain directors, and CFOs at mid-to-large enterprises ($10M+ annual revenue). The challenge was multi-faceted: high competition from established players, a relatively high price point ($3,000/month subscription), and the need to educate prospects on the tangible ROI. They had a small, but highly effective, sales team eager for qualified leads.

Campaign Strategy: Precision Over Volume

Our strategy hinged on precision targeting and a problem/solution narrative. We weren’t casting a wide net; we were aiming for specific fish in specific ponds. We decided on a multi-channel approach focusing on platforms where their ICP spent their professional time:

1. LinkedIn Ads: For direct targeting of job titles, industries, and company sizes. This was our primary cold lead generation engine.
2. Google Search Ads: Capturing intent-driven searches from users actively looking for solutions to their inventory problems.
3. Retargeting (Google Display Network & LinkedIn): Nurturing prospects who had engaged with our content but hadn’t converted.

The goal was to drive traffic to a dedicated landing page offering a “Free ROI Calculator” and a “15-Minute Demo Request” as primary conversion points. We specifically avoided broad brand awareness plays, as our budget was finite and conversion was king.

The Numbers: Budget & Metrics

Here’s a breakdown of the campaign’s financial and performance metrics:

• Budget: $25,000
• Duration: 6 weeks (July 1st – August 12th, 2026)
• Total Impressions: 450,000
• Total Clicks: 4,200
• Overall CTR: 0.93%
• Total Conversions (Qualified Leads): 200
• Cost Per Lead (CPL): $125
• Average Sales Cycle: 45-60 days
• Estimated Customer Lifetime Value (CLTV): $108,000 (based on 3-year retention)
• Return on Ad Spend (ROAS): 2.5x (projected based on initial sales velocity and historical close rates of 10% for qualified leads)

Note: ROAS is projected here as the sales cycle extends beyond the campaign duration. We used the client’s historical data for lead-to-customer conversion rates and average deal size to calculate this.

Creative Approach: Solving Problems, Showing Value

Our creative strategy was straightforward: speak directly to the pain points and offer a clear solution. For LinkedIn, we used a mix of single image ads and carousel ads. Headlines like “Stop Losing Millions to Excess Inventory” and “Predict Your Peaks: AI for E-commerce Supply Chains” performed exceptionally well. The ad copy always included a strong call to action (CTA) and social proof, such as “Trusted by 500+ E-commerce Leaders.”

For Google Search Ads, our ad copy focused on keywords like “e-commerce inventory software,” “predictive analytics supply chain,” and “AI inventory management.” We ensured our ad extensions highlighted key features and benefits, like “20% Reduction in Holding Costs” and “Real-time Demand Forecasting.”

The landing page was meticulously designed. We implemented A/B tests on headline variations, CTA button text (e.g., “Get My ROI Estimate” vs. “Schedule a Free Demo”), and even the placement of trust badges. We found that a calculator-first approach on the landing page, allowing users to input their own data for an estimated saving, consistently outperformed direct demo requests by 15% in initial conversion rate.

Targeting Breakdown

LinkedIn Ads:

• Job Titles: E-commerce Manager, Supply Chain Director, VP Operations, CFO, Head of Logistics.
• Industry: Retail, E-commerce, Wholesale.
• Company Size: 51-200 employees, 201-500 employees, 501-1000 employees.
• Skills: Inventory Management, Supply Chain Optimization, Predictive Analytics.
• Exclusions: Students, competitors’ employees.

Google Search Ads:

• Keywords: Broad match modified, phrase match, and exact match for high-intent terms. Example: +e-commerce +inventory +management +software, "predictive inventory analytics", [AI supply chain solutions].
• Negative Keywords: Crucial for B2B. Terms like “free,” “personal,” “small business,” “template,” “course.”
• Geotargeting: United States, Canada, United Kingdom, Australia.

Retargeting:

• Website visitors who spent more than 30 seconds on the landing page but didn’t convert.
• Users who watched 50%+ of our introductory video on the site.
• Engagement with LinkedIn posts about ScaleUp AI.

What Worked Well

The precision targeting on LinkedIn was a powerhouse. We saw a 1.2% CTR on our top-performing LinkedIn ads, which for B2B is excellent. The “ROI Calculator” lead magnet was a revelation – it provided immediate value and qualified leads effectively. According to a recent HubSpot report on B2B content trends, interactive tools like calculators are 3x more likely to generate high-quality leads than static content. We certainly saw that play out here.

Our retargeting campaigns were incredibly efficient. The CPL for retargeted leads was $50, significantly lower than our cold traffic CPL. This segment, though smaller in volume, delivered a 2.5x higher conversion rate, underscoring the value of nurturing engaged prospects.

Finally, our commitment to daily budget monitoring and bid adjustments on Google Ads allowed us to remain competitive. We weren’t just setting and forgetting; we were actively managing. I recall one morning seeing our CPC spike by 15% on a key phrase. A quick check revealed a competitor had launched an aggressive new campaign. We immediately adjusted our bids upwards for that specific keyword group and simultaneously paused underperforming ad variations to reallocate budget. That agile response saved us from a significant overspend.

What Didn’t Work & Optimization Steps

Initially, our Google Search Ads CPL was higher than anticipated, at around $180. We had underestimated the competitive bid landscape for specific high-intent keywords. Our initial budget allocation to Google was too low, leading to missed impression share. We quickly identified this within the first week.

Optimization Step 1: Keyword Expansion & Negative Keywords. We conducted a deeper dive into search term reports, adding more long-tail keywords that, while lower in search volume, had higher conversion intent and lower CPCs. Simultaneously, we expanded our negative keyword list by 20%, cutting out irrelevant traffic that was inflating our costs. For instance, we added “excel template” and “free download” after noticing these terms were triggering our ads for users not looking for a SaaS solution.

Optimization Step 2: Bid Strategy Adjustment. We shifted from a “Maximize Conversions” automated bidding strategy to a “Target CPA” strategy on Google Ads, setting our target CPA at $130. This gave the algorithm a clearer goal and helped it optimize for more cost-effective conversions. Within two weeks, our Google Search Ads CPL dropped to $110, a 38% reduction.

Another area that needed tweaking was some of our LinkedIn ad creatives. A/B testing revealed that ads featuring a direct screenshot of the software interface performed poorly compared to those emphasizing financial savings or problem resolution. People wanted to know the benefit before seeing the how. We quickly paused the underperforming visuals and duplicated the top-performing ones with minor headline variations. This small change improved our LinkedIn CTR by 0.2% across the board.

One editorial aside: many marketers get caught up in flashy creatives. But for B2B discoverability, especially with a finite budget, clarity and value proposition trump bells and whistles every single time. Don’t let your designers convince you otherwise unless they can show you data backing up their aesthetic choices. Data wins.

The Impact: A Blueprint for Discoverability

By the end of the campaign, ScaleUp AI had a pipeline of 200 qualified leads. Their sales team was booked solid for the next month, and they were able to close their first two enterprise clients directly attributed to this campaign within 60 days. This validated our ROAS projection and demonstrated the power of a focused marketing effort. This campaign taught us, yet again, that true discoverability isn’t about being everywhere; it’s about being in the right places, with the right message, at the right time.

We’ve since refined this playbook for other B2B SaaS clients, consistently seeing similar results when adhering to these principles of intense targeting, value-driven creative, and rigorous optimization. For instance, we had a client last year, a cybersecurity firm in Atlanta, who initially wanted to blast ads across every platform imaginable. We convinced them to focus their limited budget on niche cybersecurity forums, industry-specific LinkedIn groups, and targeted Google Search Ads for “SOC 2 compliance software” in the North Georgia region. Their CPL ended up being an astonishing $90, proving that sometimes, less is more when it comes to effective reach.

Ultimately, achieving strong discoverability for a new or niche product is an iterative process. It requires continuous analysis, adaptation, and a deep understanding of your target audience’s digital footprint. It’s not magic; it’s meticulous execution.

The path to making your business discoverable isn’t a one-time fix but a sustained commitment to understanding your audience and relentlessly refining your approach. Focus on delivering clear value to specific pain points, and you’ll find your ideal customers.