Adjusting Budget Predictions

See how easily you can project monthly volumes, predict your business's revenue patterns with precision and plan your production and budget accordingly. Understanding and calculating the seasonality of your revenue can transform how you manage your financial planning. Why Measure Average Volume Demand? Measuring the average volume demand helps you identify patterns in your demand over different periods. By recognizing these patterns, you can adjust your forecasts and budgets to reflect more accurate expectations, preventing potential issues like overcapacity or underproduction. Steps to Calculate Average Seasonality: 1. Collect Data: Gather historical revenue data for multiple years. 2. Calculate Monthly Averages: Determine the average revenue for each month across the years. 3. Compute Overall Average: Find the overall average revenue across all months and years. 4. Determine Seasonal Indices: Divide each monthly average by the overall average to get the seasonal index for each month. Benefits of Applying Seasonal Indices: • Prevent Overcapacity: By anticipating peak periods, you can manage resources better and avoid production bottlenecks. • Optimize Production: Ensure that production schedules align with demand, reducing waste and improving efficiency. • Enhanced Forecast Accuracy: More precise forecasts lead to better financial planning and decision-making. This technique is not only useful when creating monthly budgets and forecasts, but also when crafting long range plans. When we apply the monthly seasonality to the yearly projection, we are able to achieve a granularity that will show us more clearly other aspects of our plan that we are not able to see from the yearly perspective. The capacity constraint is one example. In this case, I have this insight even years ahead to either increase capacity, improve capacity distribution along the year (if possible) or even plan better the volume production. To help you get started, I've created an Excel template for calculating seasonality. You can download it from the link below and integrate it into your budgeting process. https://buff.ly/44WU3tV

The more time I spend looking at how multifamily property managers handle budgets, the more I'm convinced PMs who don’t reforecast are kind of screwed. If I were a multifamily VP, these are a few areas I'd focus on in 2026 to make our budgets more resilient to market pressures: (1) Spend time building forecasting infrastructure. Better to know how to reforecast weekly than be stuck analyzing 45-day-old actuals. Using tools that make reforecasting fast has very much been an 'oh sh*t' moment for PMs (in a good way). There's a lot of manual work involved in budgeting that isn't strategic thinking. The right infrastructure clears time for the operational decisions that actually move NOI. (2) Develop real financial discipline. This isn't new advice. If I knew today that in a year I'd hit a major financial hardship, I'd start preparing right now. In real estate, that "financial event" isn't a couple thousand dollars - it's millions. Yet companies don't have that same forward-looking discipline. They're okay with letting giant financial risks sneak up on them. Reforecasting weekly helps you see problems 60-90+ days before they blow up NOI. Renewals are a leading indicator - you know 60 days in advance who's staying. By the end of January, you should have February figured out. Move-outs, turnover costs ($2,000-$4,000 per unit), vacancy compounding, and how every lease reshapes 2027 rent expectations. (3) Become comfortable making decisions based on forward-looking data. One moat for PMs is being exceptional at adjusting operations based on what's coming, not what already happened. Traditional budgeting is good at formatting annual projections, so a lot of the value of reforecasting is seeing ahead and making operational changes 90 days before problems show up in variance reports. None of these 'moats' is particularly new. But only now, these are shifting from bonuses to requirements. There's less of a reason for ownership to put up with PMs who refuse to reforecast. More insights here in our "State of Multifamily Budgeting" breakdown: https://lnkd.in/gVz4SAHa

Most teams treat rolling forecasts like a monthly budget meeting. That’s why they fail. I used to think a rolling forecast was just a budget with more updates. But the best teams use rolling forecasts in a different way. Rolling forecasts are not about repeating the same process every month. They show the next 12–18 months, not just the year. The plan changes as soon as reality changes. When hiring speed, conversion rates, or CAC move, the plan moves with them. Leaders talk about what is true now, not what was approved months ago. Here is what works for me: → Update the forecast every month. If something like pipeline or churn changes fast, refresh those numbers each week. → Focus on the big drivers: price, volume, mix, ramp. Keep the model simple but strong. → Use one source of truth. Actual numbers come in automatically. Variance explains itself (rate vs. volume vs. mix). → Make it easy to see Base, Downside, and Upside in two clicks. → Finance manages the model, but every team owns the drivers they can change. The real change happens in meetings. People stop looking back at last quarter. They start looking forward. Leaders use leading indicators like win rates, cycle time, or backlog health. The plan becomes a range, not a promise. Everyone manages risk, not just numbers. A simple 10-day cadence helps: 1. Days 1–3: Load actuals. 2. Days 4–5: Auto-break variance. 3. Days 6–7: Driver owners update their parts. 4. Day 8: Finance checks and adjusts for changes. 5. Days 9–10: Meet for 45 minutes-make decisions. What makes rolling forecasts fail? → Too much detail, not enough signal. → Treating it like a full budget, not a light-touch update. → No ranges, only point numbers. → Teams not owning their drivers. How “rolling” is your forecast today-0/10 (static) to 10/10 (live, driver-led, with ranges)? What would move you up one notch?

Edit: Grab the resource right here: https://lnkd.in/gJgzZWQD We’ve managed over $10M on B2B ads. And the #1 reason the ad budget gets killed is: flimsy projections that fall apart the moment leadership asks a single question. Here's what happens in most companies: Week 1: You get a budget. You launch ads. Week 2: Management asks, "Where are my SQLs?" Week 3: They forward LinkedIn posts from "gurus" who "cracked the code" Week 4: Meetings appear on your calendar to interrogate you Week 5: Your budget gets slashed. The channel is labeled "too expensive" or "not scalable." And the truth is... it IS your fault. Not because the ads failed. But because you never set the right expectations. After managing 100+ B2B SaaS campaigns, we've built a framework at Spear Growth that solves this problem forever. 1) Start With Top-Down Projection If leadership says "We need 100 SQLs," great. But ask: • How did they arrive at this number? • Is it just some random industry benchmark? • Is it even possible with your budget? Start as close to revenue targets as possible and work backward. 2) Build Bottom-Up Projections Now flip the script. What's actually achievable? Build real audiences, complete keyword research, and get estimates on CPCs, reach, and search volume. Use your experience to estimate conversion rates and lead quality. Project what's POSSIBLE, not what's desired. 3) Rework Until Numbers Match Your top-down numbers show what's needed. Your bottom-up numbers show what's possible. Keep tweaking until they meet in the middle by: • Adjusting goals if they're unrealistic • Optimizing your funnel to improve lead-to-revenue rates • Or changing your ad strategy entirely 4) Rebuild With Real Data After two weeks of running ads, you'll have actual performance data. Were your estimated CPCs too low? Was CTR higher than expected? Was lead quality worse? Incorporate all of this into your projections. Just make sure management knows this update is coming. Once you have enough data, you won't be guessing anymore. Your projections will align with reality. This system has saved millions in ad spend for our clients. One discovered they were targeting a cost per MQL that was literally impossible in their industry. Using our template, they rebuilt projections from the ground up. The result: Not only did they keep their budget, they got approval for a 40% increase because they could defend every number with data. Want this template for yourself? I've packaged the entire system into a free template you can use to create “defendable projections” in under an hour. Like Comment "PROJECTIONS" I'll DM you the template + detailed guide covering demand capture, demand gen, and both top-down and bottom-up approaches. (Connect with me so I can send it your way!)

🗣️Let me tell you this A budget that isn't updated is just an outdated document pretending to be a strategy. Organizations spend weeks creating detailed budgets, celebrating once they're approved, and then forgetting about them for the rest of the year. Meanwhile, sales change. Inflation rises. Customer demand shifts. New opportunities appear. Unexpected costs creep in. But the budget stays exactly the same. By year-end, management is asking why they missed their targets, when the real problem was that they were making decisions using assumptions that no longer reflected reality. A budget should guide decisions, not gather dust in a folder. I keep budgets relevant through dynamic planning and regular variance analysis, comparing actual performance against the budget to identify changes early. This helps management adjust forecasts, reallocate resources, and make informed decisions before small variances become major financial problems. How often do you think a business should review its budget? I remain your Financial Data Analyst Clarity Queen 💖