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How do you forecast demand when your brand is just getting started? Here’s how we helped one client navigate uncertainty and win big. 👇 Last Black Friday, we worked with a client facing big questions. They wanted to stock up on inventory but didn’t have enough historical data to confidently predict demand. Using our built-out 3-statement financial model, we ran multiple scenarios: • What if sales hit 50% of the forecast? • 40%? • 30%? The analysis revealed that even at half the forecasted sales, they could survive—with the right debt facility in place. We worked with them and a lender to secure financing for the inventory, ensuring they could weather a worst-case scenario. While sales fell short of their goal, the plan worked. They avoided a cash crunch and have spent the past year profitably liquidating inventory. This year, they went into Black Friday in a stronger position, ready to keep growing. Here’s how we help clients nail demand forecasting: 💡 Layered forecasting:It’s not as simple as ad spend x blended ROAS = revenue. We dig into CAC, LTV, repeat purchase rates, and cohort behavior to build a comprehensive demand model. 💡 Scenario planning:For early-stage brands with limited data, we run “what if” scenarios. Best case, worst case, and everything in between. This helps founders prepare for uncertainty. 💡 Risk-adjusted bets: Using a 3-statement financial model, we evaluate the impact of different scenarios on your P&L, balance sheet, and cash flow. Then, we set up strategies to mitigate risks. Demand forecasting isn’t about guessing—it’s about preparation. Need help planning your next big season? Let’s talk. -- Hi, I'm Jon Blair founder of the DTC Finance and Accounting firm Free to Grow CFO. Want more tips on growing a profit-focused DTC brand? Give me a follow. Want to learn more about how Free to Grow's Accountants and CFO's can help you increase profit and cash flow as you scale? Shoot me a DM. Until next time, scale on!