Why do companies keep buying forecasting tools to fix forecasting problems? What challenge is being solved? Are sellers and sales leaders unable to forecast their deals? The consequences of missing forecasts are not to be underestimated. Shockingly, as reported by RevOps Co-op, a staggering “80% of companies fail to meet their forecasts/plans by 25% or more.” This begs the question, why does poor forecasting persist despite the negative financial implications? To help create perspective, I recently asked a CFO to describe the impacts of missing forecasts; his list of negatives was lengthy. Examples include: 1). Sales & Marketing: Inefficient spending to fill short-term gaps-to-goal. 2). Capital Expense: Underutilized CAPEX spend; investments in capacity are not needed. 3). Operational Expense: Staffing for growth that did not materialize. 4). One-Time Costs: Reductions in force and layoffs. 5). Financing Costs: Covenant costs, waiver fees, and higher borrowing costs. 6). Negative customer goodwill. 7). Reputational loss. Some excellent forecasting tools are available–no doubt. (I've licensed some of them.) However, to meet and exceed plans on a long-term horizon, companies need to deploy predictive tools and methods—tools and methods that forecast outcomes on a 12-plus-month horizon. Tools and methods should not be indexed solely on opportunities; opportunity-based analysis alone will not build a long-term view. Predictions should be made based on many data points, beginning at the earliest Top-of-Funnel entrance point. If you can’t see at least 12 months into the future, you cannot efficiently deploy sales and marketing dollars. Filling unexpected, near-term gaps-to-goal is inefficient and expensive. Sales leaders, in particular, need to stop focusing energies nearly 100% on the current month/quarter and think longer-term. Now is the time to ask the entire business to help fix a 4Q pipeline challenge. October is way too late. Building predictability and visibility long-term is critical to building a successful SaaS business. Creating predictability is why we built Outset.
Daren Lauda’s Post
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Too many vendors in our space have lured teams into thinking a pipeline roll-up is forecasting. Too few offer the system, data, tools, and methodology to help people actually forecast. Forecast beyond the pipeline, forecast despite the pipeline, forecast to challenge or stress test the pipeline. CFOs, CEOs, and the board want evidence. Empirical evidence. The problem is, if your forecast is based purely on deals, then you're at the mercy of deal control to maintain accuracy, to tell a story, to demonstrate control and command over your business, upon which professional credibility depends. It also leaves you thin on the ground when it comes to evidence that backs up your call to your CFO / C-suite. I've had many conversations either 1on1 or in groups of late where folks are waking up to this fact. There needs to be numbers, data, trends, statistics, movement, comparisons, and scenarios that underpin any number. This is especially true when you are early in the quarter, or forecasting next quarter, and the deal picture is far from complete. The Kluster team recognize this, and have been hard at work! A true forecasting system for sales and finance teams does exist.
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Can you magically increase revenue by 50%? Simply by changing a number. You can't, but here's what you can do: You can turn projections into results. And for that, you need a driver-based approach that can move the bottom line. That can answer the critical questions that guesses ignore, like: 1. Customer acquisition. What specific tactics will attract new clients/customers at scale? General targets of "30% growth" aren't enough without understanding how you'll get there. 2. Retention. How will you retain more of your existing business through retention strategies or cross-selling? 3. Pricing. What pricing moves are needed to hit goals? Are your fees optimized for profitable growth? 4. Staffing & Investment. Goals must align with resource requirements. What headcount, technology, or marketing investments are essential to powering your plan? 5. Scenarios and KPIs. Scenario planning prepares you to adapt. How will macro-factors like the economy impact the results? Which data points show if your drivers are firing on schedule? This level of modeling is core to FP&A. It transforms objectives into executable roadmaps. This is what your clients need.
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When it comes to forecasting, many companies either over-simplify or over-complicate. There are actually three types of forecasts that need to be managed and we want to clear up the confusion about them. What are those three forecasts? - Bookings - Sales - Financial (or Revenue) Understanding the difference [and importance of] these forecasts is crucial. Dig deeper into these forecasts and understand who should own them here: https://sta.mx/33gv
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There's only one forecast right? WRONG! Too many companies over-simplify forecasting. (Others over-complicate) There are actually three types of forecasts that need to be managed and we want to clear up the confusion about them. What are the three forecasts? - Bookings - Sales - Financial (or Revenue) Understanding the differences and importance of these forecasts is imperative, as well as which team is responsible for the ownership of them. Learn more about the three types of forecasts here: https://sta.mx/33gv
GTM Leaders Need to Manage Three Forecasts – Not One
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In many companies, forecasting is treated as a departmental task. This causes problems when teams operate in silos, using different data to build their own forecasts. For Go-to-Market success, businesses must shift to a unified, data-driven forecasting framework. By aligning Bookings, Sales, and Financial forecasts, organizations can unlock a full picture of their business—empowering smarter decisions, reducing risk, and driving sustainable growth. Find out why breaking down these silos is crucial for moving beyond short-term goals and positioning your company for long-term success here: https://sta.mx/qg3c
Aligning Sales, Marketing, and Finance Around a Unified Forecasting Strategy
https://outsetops.com
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If you see opportunities where others don’t, have the analytics skills to make a logical, well-supported argument for your vision, love making deals and building buy-in, and crave variety, business development could be perfect for you. #businessdevelopment #bizdev #drivinggrowth #buildingpartership #strategicplans #winwinpartnership #identifynewopportunities #businessgrowth
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A guy calls up his financial advisor to check in on his investments and talk planning. The advisor tells him “At this rate, you’ll probably be able to retire comfortably at age 77.” Then he hangs up the phone. The guy is confused and annoyed. He had follow-up questions – namely, what moves can he make to improve his chances of retiring a little earlier? Then the advisor calls back. The guy is relieved. “We must have gotten disconnected,” he says. “No,” says the advisor. “I just called back to clarify something. That age 77 projection? I’m only 50% sure on that.” Then he hangs up again. Needless to say, this was not the most productive financial planning session. Most financial advisors don’t behave this way. But a lot of sales forecasting tools do. They forecast a number they expect you to hit for the quarter, but don’t help you beat that number, or even tell you how likely the forecast is in the first place. This is why we need to stop making forecast calls and learn to use odds. The article below shows what odds-driven sales forecasting looks like and how helpful it is. You’d probably fire the financial advisor in our story. Why would you stick with sales forecasting tools and methodologies that have the same problems? https://lnkd.in/exrKmTJQ #salesmanagement #salesleadership #salesenablement #salesoperations #revops #revenueoperations #salesops #analytics #datascience #forecasting #sales
Doctor StrangeSales or: How I Learned to Stop Forecasting and Love The Odds
funnelcast.com
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It's almost October... do you know where your 2025 is? We've already started building out our 2025 forecast, growth planning, and additional service launches. Forecasting is my favorite part of my job and it's because I don't just lock myself in a room for a week. When I forecast I use a hybrid model – a blend of data-driven analysis and good old-fashioned collaboration. I've fine-tuned it over time, and I'm always on the lookout for ways to improve, but here's a quick peek behind the curtain: 1. Assumptions: I start by locking myself in a room and diving deep into the data, analyzing trends in key metrics like Marketing Spend, Leads, Conversion Rates, and Deals. This gives me a solid foundation to understand where we're headed. Then I come out of my cave and I sync up with our VPs across Marketing, Sales, CS, and Operations to get their insights and ensure we're all rowing in the same direction. 2. Capacity Planning: Next, it's all about assessing our team's bandwidth. I actually get out on the floor and talk to managers and reps. Can our sales reps handle the influx of leads? Are there any bottlenecks in the process? This helps us anticipate potential challenges and make any necessary adjustments. We'll be doing a lot of hiring in 2025! 3. Waterfall: Armed with data and insights, I build a detailed waterfall forecast that maps out the journey of leads through our sales funnel. This allows me to spot potential risks and opportunities at each stage. 4. Team Forecast: Finally, I tap into the collective wisdom of our sales team, gathering forecasts from everyone – from individual reps to managers and VPs. This bottom-up approach fosters a sense of ownership and provides invaluable on-the-ground perspective. Although I don't necessarily take into account the team forecast (Every rep says they'll be at 200% of quota and every manager says they'll blow my number out of the water), I do use it to hold teams accountable and also for a coaching moment if someone is way low or way high. By the time our Monthly Business Reviews roll around, I'm armed with a forecast that I'm confident in presenting to the board. It's a testament to the collaborative, data-driven culture we've built at Attyx. Forecasting is a never-ending learning process so have fun with it. Get your team together, get the data together and prep to have the best year ever!
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How do you plan to achieve your monthly targets for the rest of the year? Will you rely on pulling in deals from future months or on precise forecasting? The challenge is that very few teams have accurate forecasts beyond a 90-day window. Learn how to improve your forecasting here: https://sta.mx/o41f
Why Do Companies Struggle with Forecasting?
https://outsetops.com
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There are only six months left in the year, it's officially the start of H2. How are you going to hit your numbers each month of the second half? By pulling deals in from each month or with accurate forecasts? The problem is, very few teams have accurate forecasting outside of a 90-day window. We dig into how to improve forecasting here: https://sta.mx/o41f
Why Do Companies Struggle with Forecasting?
https://outsetops.com
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Founder @ The ISP Group | Grown-up Skater Kid | Punk Rock Enthusiast | UltraRunner | Founder at Innovative Technology Partners & Innovative Selling Partners - Elite Sales Training & Tech Solutions for the Self-Aware.
6moYes, they are unable to forecast their deals. Here are a few reasons why: 1) Bad management- Sales managers not setting great expectations on deal management, making it difficult to assess the likelihood of it closing. This can be especially true in complex sales cycles with multiple decision-makers. 2) Bad data - reps not inputting accurate info/No standard opportunity management process in place 3) Phantom forecasts (Deals that AEs are secretly working, and not allowing executive visibility on), Sandbagged deals to ensure future metrics are met. Companies buy forecasting tools to compensate for bad management, with the hope that a standard process of opportunity management will allow them to forecast accurately. We have found a great sales culture built on empathetic leadership and trust is a required element to build a diverse funnel growth, predictable/consistent pipeline and accurate forecasting.