
Running a B2B company means keeping a close eye on your financial metrics, especially when it comes to growth. One of the most telling numbers? How much it costs to bring in a new client. This figure, often called CAC, can make or break your profitability if not managed well. Knowing this number helps you allocate your marketing and sales budgets more effectively.
Every dollar spent on ads, sales reps, or lead-gen tools adds up. Without a clear view of these expenses, you might be overspending on strategies that don’t deliver. A tool to estimate your cost per client can shine a light on inefficiencies, letting you pivot to tactics that offer better returns. Whether you’re a startup or an established firm, staying on top of these metrics is key to scaling smartly.
Once you’ve got a handle on your costs, you can start experimenting. Maybe it’s tweaking your ad spend or refining your pitch to boost conversions. Small changes can lead to big savings, freeing up resources for other priorities. If you’re ready to dive into your numbers, our free estimator is here to help you uncover actionable insights.
CAC is the total cost of acquiring a new client, factoring in everything from marketing campaigns to sales team salaries. Think of it as a snapshot of how much you’re investing to bring in each new customer. For B2B companies, this number is crucial because it helps you gauge whether your growth efforts are sustainable or if you’re spending too much to close deals.
It depends on your industry and business model, but a good rule of thumb is to compare your CAC to the lifetime value (LTV) of a client. Ideally, your LTV should be at least 3x your CAC. If it’s lower, or if your CAC is eating up a huge chunk of your budget without clear returns, it might be time to rethink your marketing or sales approach. Our tool also offers benchmark insights to give you a rough idea of where you stand.
No worries! Just use your best estimates for now—our tool is designed to handle rough figures and still give you a useful starting point. If something looks off, like a missing field or illogical data, it’ll prompt you to double-check your inputs. The goal is to get a clearer picture, even if you’re working with ballpark numbers at first.