Experimentation: How We Cut Lead Costs 35% in Two Weeks

How Experimentation Is Transforming Marketing: A Deep Dive into a Lead Generation Campaign

Is your marketing stuck in the Stone Age, relying on gut feelings instead of data-driven decisions? Experimentation is no longer a luxury; it’s a necessity for survival in today’s competitive marketing environment. Companies that embrace a culture of testing are the ones consistently acquiring customers at lower costs and higher volumes. But how does this translate into real-world results? We’ll break down a recent lead generation campaign to show you exactly how.

Let’s examine a lead generation campaign we ran for a B2B SaaS company specializing in project management software. I had a client last year who was struggling with a similar problem. They were spending a fortune on Google Ads and seeing little return, so this case study is very relevant.

The Challenge: Stagnant Lead Generation

Our client, “ProjectZen,” faced a common problem: their lead generation efforts had plateaued. They were relying on a single, broad-based Google Ads campaign and a few generic LinkedIn ads. The cost per lead (CPL) was creeping up, and the lead quality was inconsistent. They needed a way to inject fresh life into their marketing and improve their ROI.

The Strategy: A Data-Driven Experimentation Framework

We proposed a comprehensive experimentation framework centered around the scientific method: hypothesis, test, analyze, and iterate. This meant moving away from guesswork and embracing a culture of continuous improvement. Our approach involved A/B testing ad copy, landing pages, audience targeting, and even attribution models.

Campaign Setup and Initial Metrics

The initial campaign, running for one month with a budget of $20,000, targeted project managers and team leads within companies of 50-200 employees. We used Google Ads and LinkedIn Ads as our primary channels. The initial metrics were as follows:

• Budget: $20,000
• Duration: 30 days
• Impressions: 1,250,000
• Clicks: 12,500
• CTR: 1%
• Conversions (Qualified Leads): 250
• CPL: $80
• ROAS: 2x (based on average deal value)

Not terrible, but definitely room for improvement. An $80 CPL is too high for this industry.

Experiment 1: Audience Targeting Refinement

Our first hypothesis was that the broad targeting was diluting our efforts. We suspected that focusing on a more specific audience would improve lead quality and lower CPL. We decided to test lookalike audiences based on ProjectZen’s existing customer base. This is better than relying on interest-based targeting, which can be very broad and inaccurate.

We created lookalike audiences in both Google Ads and LinkedIn Ads, using ProjectZen’s CRM data to identify high-value customers. We focused on attributes like industry, job title, company size, and engagement with ProjectZen’s website. For the Google Ads lookalike audience, we used the “Similar Audiences” feature (targeting users with similar browsing behavior to our customer list). On LinkedIn, we used “Matched Audiences” to target individuals with profiles similar to our customer base.

Results: After two weeks, the lookalike audiences significantly outperformed the original broad targeting.

The CPL decreased by 35%, and the conversion rate nearly doubled. Just goes to show you the power of data-driven targeting. We shifted 70% of the budget to the lookalike audiences.

Experiment 2: Ad Copy A/B Testing

Next, we focused on improving the ad copy. Our hypothesis was that ad copy that directly addressed the pain points of project managers would resonate more strongly and increase click-through rates and conversions. We created three variations of ad copy, each highlighting a different pain point:

1. Variation A: “Stop Wasting Time on Tedious Project Management Tasks” (focused on efficiency)
2. Variation B: “Eliminate Project Overruns and Stay on Budget” (focused on cost control)
3. Variation C: “Improve Team Collaboration and Communication” (focused on teamwork)

We ran these variations in both Google Ads and LinkedIn Ads, evenly splitting the budget among them. We used the ad platform’s built-in A/B testing features to track performance. For example, in Google Ads, we used the “Ad variations” feature to test different headlines and descriptions. On LinkedIn, we utilized the “A/B Testing” option within Campaign Manager.

Results: Variation B, which focused on cost control, consistently outperformed the other variations. We saw an 18% increase in conversion rates with this ad copy.

This was a surprise! We initially thought efficiency would be the top concern, but the data spoke for itself. We doubled down on the cost control messaging in all our ads.

Experiment 3: Multi-Touch Attribution Modeling

Finally, we wanted to understand the complete customer journey. ProjectZen was using a simple first-touch attribution model, which gave all the credit to the first interaction a lead had with the company. We suspected this was giving us an incomplete picture.

We implemented a multi-touch attribution model using a combination of HubSpot and Google Analytics 4. This allowed us to track all the touchpoints a lead had with ProjectZen, from initial ad clicks to website visits to email interactions. We also integrated data from ProjectZen’s CRM to track which touchpoints led to closed deals.

The results were eye-opening. We discovered that podcasts were a significant, but previously unrecognized, touchpoint. Many leads were listening to industry podcasts where ProjectZen had sponsored segments months before converting through a Google Ad. A Nielsen study found that podcast advertising recall is 71%, so this makes sense.

We shifted 20% of our budget to podcast advertising and saw a further improvement in lead quality and ROAS. We started sponsoring more targeted podcasts, focusing on those listened to by project managers in the construction and engineering industries.

Final Results and Key Learnings

After three months of continuous experimentation, the campaign achieved the following results:

• CPL: Reduced from $80 to $45 (a 44% decrease)
• Conversion Rate: Increased from 2% to 4.5% (a 125% increase)
• ROAS: Increased from 2x to 4.5x

The key takeaway is that experimentation is not a one-time activity; it’s a continuous process. By embracing a data-driven approach and constantly testing new ideas, we were able to significantly improve the performance of ProjectZen’s lead generation campaign. We also learned that assumptions can be dangerous. What we thought would work wasn’t always what actually worked. The data never lies, even if it challenges your preconceived notions. The IAB regularly publishes research on digital advertising trends, which can provide helpful context for your experiments.

Here’s what nobody tells you: experimentation takes time and patience. You won’t see overnight results. It requires a willingness to fail fast, learn from your mistakes, and iterate quickly. It also requires buy-in from the entire team, from marketing to sales to leadership. If your sales team doesn’t trust the leads generated through experimentation, they won’t follow up effectively, and your efforts will be wasted.

We ran into this exact issue at my previous firm. The sales team was used to receiving leads from a specific source, and they were hesitant to embrace leads from new channels. It took time and communication to build trust and demonstrate the value of the new leads. But once they saw the results, they were fully on board.

Beyond the Campaign: Building a Culture of Experimentation

The success of this campaign wasn’t just about the specific tactics we used; it was about building a culture of experimentation within ProjectZen. We helped them establish a system for tracking and analyzing data, documenting their experiments, and sharing their learnings across the organization. This created a virtuous cycle of continuous improvement, where new ideas were constantly being tested and refined. This can lead to significant conversion boosts.

This is the real power of experimentation: it’s not just about improving individual campaigns; it’s about transforming the entire organization into a learning machine. Companies that embrace this mindset are the ones that will thrive in the ever-changing world of marketing. To thrive, you need insightful marketing.

Stop guessing and start testing. The ProjectZen campaign demonstrates how a structured approach to experimentation can unlock significant gains in marketing performance. Start small, focus on clear hypotheses, and embrace the data. You might be surprised by what you discover, and your bottom line will thank you.