Business Case Study

Can We Raise Prices Without Losing Customers?

How a small business funded its next stage of growth by testing its place in the market.

Decision Snapshot

Business situation
Demand was growing. Supporting additional clients required investments in systems, processes, and team capacity.
Decision
How should the business fund the improvements needed to support additional demand?
Working assumption
The business could not fund the required improvements through its existing operations.
My role
Assess the business, identify the decision with the greatest influence on future growth, and recommend an evidence-based path forward.
Selected method
Business assessment leading to controlled pricing experiments.
Initial test period
Approximately three months.
Initial sample
Approximately 150 completed sales.
Variables held constant
Service offering, advertising, landing page, customer segment, sales process, and fulfillment. Price was the only intentional variable.
Business outcome
The flagship service increased from $199 to $499, creating the resources needed to invest in workflow improvements that supported future growth.

Executive Summary

The owner engaged me to help prepare the business for its next stage of growth.

I began with a business assessment to understand how the company generated demand, operated day to day, delivered value, and managed cash flow.

The assessment found:

Supporting additional clients would require investing in systems, workflows, and delivery capacity. The next decision centered on where those funds should come from and how much risk the business should accept to obtain them.

After reviewing the assessment, we decided to test price optimization before pursuing larger operational changes or outside financing.

Outcome: Through a series of controlled pricing experiments, we increased the flagship service offer from $199 to $499. The additional profit funded workflow improvements that increased efficiency, expanded capacity, and improved the customer experience.

Business Situation

The owner had recently decided to grow a business she had operated as a side project for several years.

Her background as a federal hiring manager gave her an unusually deep understanding of a hiring process that many applicants found difficult to navigate. Early Google Ads campaigns confirmed there was meaningful demand for that expertise, and the business continued growing as advertising investment increased.

Growth also created a new challenge.

Every additional client required more work from the owner and editorial team.

Business Assessment

Before making any recommendations, I wanted to understand how the business worked.

I looked at how customers found the business, how the service was delivered, and how the business generated profit.

I explored:

Each told part of the story. Looking across those sources helped isolate assumptions.

Advertising performance showed a consistent flow of qualified leads. Sitting in on sales calls confirmed prospects trusted the owner’s expertise and valued the service offer. There was no indication that the business was running out of demand. In fact, demand had continued to grow in line with increased ad spend.

With demand looking healthy, I shifted my attention to operations.

Following work from the initial inquiry through final delivery showed that almost every stage depended on manual effort. The business was performing well, but every additional customer increased the workload on the owner and editorial team. Growth was beginning to expose the limits of the operating model.

The financial information added to the picture.

The business was profitable, but there was not enough surplus to comfortably invest in better systems, improved workflows, or additional capacity. Continuing to grow without making those investments would become increasingly difficult as the workload expanded.

That raised a different question: If customers were continuing to buy the service, was the business delivering enough value to justify further investment?

Customer feedback answered that quickly. Clients consistently rated the service highly, and follow-up conversations showed that many had secured interviews and federal positions after working with the team. The owner had built a service that people genuinely valued.

By the end of the assessment, the limiting factor was no longer attracting additional clients. It was creating the financial capacity to improve the business before growth outpaced the way it operated.

The New Direction

The assessment changed the direction of the engagement.

We started by discussing growth. By the time we reviewed the findings, the conversation had shifted toward funding. The business needed better systems, improved workflows, and additional capacity. The remaining question was how to create the resources needed to make those investments.

We considered several practical options:

The assessment suggested another opportunity.

Demand remained healthy, customers valued the service, and the existing business model had not yet reached its full potential. We had simply never tested whether the current price reflected the value customers already saw in the service.

Testing that assumption required very little investment compared with the other options we discussed, and it allowed us to make the next decision using evidence instead of assumptions.

That became the direction we chose.

Experiment Design

The objective was to isolate the impact of price.

The service offering, advertising, landing page, customer segment, sales process, and fulfillment all remained unchanged throughout the experiment. Price was the only intentional variable.

The initial experiment compared the existing $199 offer against a $299 offer using Google Ads Experiments. Traffic allocation progressed from an 80/20 split to 50/50 and finally 20/80 as confidence increased. Approximately 150 completed sales were included during the initial three-month evaluation.

Before increasing the price, we agreed on the measures that would determine whether the experiment should continue. We monitored:

Each pricing decision depended on the complete set of evidence rather than a single metric.

Results

Initial Pricing Experiment

Comparison of the original $199 price and the initial $299 test price
Price Conversion Revenue per inquiry Cancellations Operational effect Decision
$199 Baseline Baseline Baseline Margins limited future investment Control
$299 Slightly lower Higher Stable No meaningful operational change Advance

The initial experiment demonstrated that a modest reduction in conversion was more than offset by higher revenue per inquiry and improved contribution margin. Because cancellation rates and operational performance remained stable, the evidence supported continuing the pricing strategy.

Subsequent Pricing Decisions

Results of subsequent price tests from $349 through $599
Price Conversion Revenue per inquiry Cancellations Operational effect Decision
$349 Within acceptable range Higher Stable Sustainable Advance
$399 Within acceptable range Higher Stable Faster client onboarding observed Advance
$499 Within acceptable range Highest sustainable level Stable Balanced commercial and operational performance Adopt
$599 Lower Higher, but diminishing Increased Greater customer demands before delivery Reject

The experiments demonstrated that pricing influenced more than revenue.

Higher prices increased available resources without materially reducing demand through the $499 price point. At $599, customer expectations and commercial performance both began to change, suggesting the business had moved beyond the strongest balance between customer value, profitability, and operational performance.

Final pricing decision: The business adopted $499 as its standard price.

The additional contribution margin funded workflow improvements, expanded operational capacity, and created the financial flexibility to continue improving the business as it grew.

Key Takeaways

The engagement began with a pricing question, but the assessment showed that pricing represented a broader business decision.

The business had already established healthy demand and a service customers valued. The limiting factor was the ability to invest in the systems and workflows needed to support continued growth.

Testing pricing created an evidence-based way to fund those improvements before pursuing more expensive or disruptive alternatives. The higher price became valuable because of what it enabled the business to build.

Decision Principles