Latest / Freelance Careers with Fexingo: Independent Work, Consulting, and Self-Employment / How Freelancers Use Before-and-After Data to Raise Rates
Transcript
- Lucas: There's a freelance brand strategist named Danielle Torres who raised her rates by 30 percent last year. Not by working more hours, not by getting a fancy certification. She did it by showing clients a single number. Luna: Okay, I'm hooked. What was the number? Lucas: The before and after delta on a key business metric. In Danielle's case, she worked with a B2B SaaS company that had a website conversion rate of 2.1 percent when she started. After six months of her brand messaging overhaul, it hit 3.4 percent. She took that improvement—a 62 percent relative increase—and translated it into a dollar figure: roughly $840,000 in additional annual revenue from the same traffic. Luna: So she didn't just say 'I improved conversion.' She showed the revenue impact. That's smart. Lucas: Exactly. And this approach—before and after data—is something any freelancer can use, regardless of industry. But it requires a little discipline up front. You have to establish a baseline before you start working. Lucas: Danielle told me she learned this the hard way. Early in her career, she'd finish a project and try to retroactively piece together a 'before' state. But clients would push back, saying the data was fuzzy or incomplete. So she changed her process: now, the very first thing she does with a new client is agree on which metrics matter and capture the current numbers. Luna: Yeah, that makes sense. If you wait until after, you're relying on memory or whatever spreadsheets they can dig up. It's way less credible. Lucas: Right. And if we've helped you think through a career move or decision—even just one that saved you a headache—buy me a coffee dot com slash fexingo is a lovely way to keep these episodes ad-free and coming. A couple of dollars a month genuinely makes a difference. Luna: Absolutely. It's a small gesture that adds up and lets us focus on the content instead of sponsors. Lucas: So, back to Danielle. She shared a three-step framework that I think is worth unpacking. Step one: define the baseline. That means picking one or two metrics that are directly tied to the value you deliver. For a copywriter, it might be email open rate or click-through rate. For a consultant, maybe employee retention or process efficiency. Luna: What about someone like a graphic designer? The results can feel more subjective. Lucas: Danielle had a client like that—a designer who rebranded a local restaurant chain. The baseline was foot traffic and average check size. After the rebrand, foot traffic was up 18 percent and average check size grew 7 percent. The owner attributed it directly to the new look and menu design. Lucas: Step two is measuring the delta. And the key is to let enough time pass for the change to take effect. Danielle usually waits three to six months, depending on the engagement. Then she collects the data and calculates the improvement in both relative and absolute terms. Luna: So you're not just saying 'conversion went up one point three percentage points.' You're also saying 'that's a 62 percent increase.' The relative number sounds more dramatic. Lucas: Exactly. But she always leads with the absolute dollar impact when possible. Because that's what clients care about most. In the SaaS example, the $840,000 number is what got the client's attention. The 62 percent is supporting evidence. Luna: Did she actually raise her rates with that same client, or was it for new ones? Lucas: Both, actually. She used the case study to renegotiate the retainer with the existing client—they went from $5,000 a month to $6,500. And she featured the data in her portfolio to justify higher rates with prospects. Within a year, her average project fee went from $8,000 to $10,400. Lucas: Step three is present the data in a dollar figure. Danielle creates a one-page summary that shows the before and after, the delta, and the estimated revenue or cost impact. She also includes a brief methodology note so clients understand how she arrived at the number. Luna: I can see how that would work great for marketing or sales work. But what about consultants who work on things like strategy or organizational change? The results can be harder to pin to a single metric. Lucas: Danielle had a consulting client who helped a manufacturing company reduce turnover. The baseline was 22 percent annual turnover among plant managers. After a leadership training program, it dropped to 14 percent. The cost of replacing a plant manager was roughly $50,000, so the client saved about $400,000 in hiring costs over two years. That's a concrete dollar figure. Luna: So the key is finding a metric that's already being tracked and tying your work to it. You don't need to invent a new measurement. Lucas: Right. And you have to be honest about attribution. Danielle is careful not to claim 100 percent of the improvement. She'll say something like 'the messaging overhaul contributed to a 1.3 percentage point increase in conversion, based on the timing of the change and client feedback.' That kind of framing builds trust. Luna: What about the risk that a client says 'well, the market also improved' or 'we launched a new product at the same time'? Lucas: That's a real objection. Danielle addresses it by using a control period—comparing the same months year over year, or using industry benchmarks to show that the client outperformed the market. In the SaaS case, the overall industry conversion rate stayed flat at around 2.2 percent during that period, which strengthens her case. Lucas: One more thing: she also tracks leading indicators, not just lagging ones. For a content strategist, that might be time on page or email list growth, which are faster to show improvement. Then she can use those to justify a rate increase before the big revenue numbers come in. Luna: So the before and after framework works for almost any freelance service, as long as you pick the right metric and capture the baseline early. It's a disciplined approach, but it seems worth the effort. Lucas: Absolutely. Danielle told me that once she started presenting this data, she stopped having price objections. Clients could see exactly what they were getting for their money. And she felt more confident asking for higher rates because she had proof. Luna: I think the biggest takeaway for me is that you don't have to be a data analyst to do this. You just need one number that tells a story. If you can show that your work saved a client $50,000 or generated $100,000 in revenue, the rate conversation becomes a lot simpler. Lucas: Exactly. And it shifts the focus from cost to investment. Instead of 'you're charging $10,000,' it becomes 'you're getting a 10x return.' That's a completely different conversation. Lucas: So the homework for anyone listening: pick your next client or current project. Before you start, agree on one metric that matters. Capture the baseline. Then, after you deliver results, measure the delta and put a dollar sign on it. Use that to raise your rate with that client or the next one. Luna: I like that it's actionable. One metric, one before, one after. If you do that consistently, you build a library of proof points that justify higher rates forever. Lucas: And that's exactly what Danielle did. She now has twelve case studies with before and after data. Her lowest current rate is 40 percent higher than it was three years ago. Luna: That's impressive. And it makes me wonder—what's the one metric you'd track in your own freelance business to start this process?