Drivepoint

? 200 Hours+: That’s How Long AI Could Save You in FP&A According to a recent article on The CFO, AI-powered solutions could save businesses up to 200 hours a year in financial planning and analysis (FP&A). “Two-thirds (66%) of finance professionals say that AI is set to save between 50 and 200 hours of work annually, enabling them to focus on more value-added activities like strategic planning . . . these same companies are seeing financial savings of ￡50,000–￡100,000 annually due to AI-powered FP&A software.” Our client, Dose, is proof of what’s possible. Since adopting Drivepoint’s strategic finance platform, they’ve unlocked: ?? $120,000 saved annually Replacing the need for a fractional or full-time CFO, Drivepoint delivered CFO-level expertise at 1/6 the cost of a strategic finance team. ?? 240 hours saved annually Dose’s founder Vasu now spends less time in spreadsheets and more time reinvesting in growth areas like marketing, customer acquisition, and retention. ?? 3-4% boost in gross margin With streamlined spending and better supplier negotiations, Dose Daily’s bottom line is thriving. As Vasu Goyal (Founder of Dose) puts it: “Drivepoint has seen countless DTC brands in hyper-growth and beyond. They know what it takes. That’s why it’s not some cookie-cutter agency relationship where they recycle solutions. It’s highly bespoke and it can get even more complex and personalized if you want it to. That’s the genius of Drivepoint.” Intelligent AND strategic finance isn’t just saving time; it’s reshaping the way brands grow. Ready to save your team 200+ hours next year? Let’s make it happen. Link to the full Dose case study breakdown in the comments!

I've spent 10 years figuring out how to predict repeat customer purchases online. Here’s how to do it right and get to 95%+ accuracy: If you want to understand your repeat customers and predict their behavior, it all starts with cohort analysis. This sounds fancy, but it’s just grouping customers based on the date they made their first purchase. From there, you can build a clear picture of what’s happening in your business. Here’s the step-by-step process: 1. Assign customers to cohorts. Start by grouping customers by the month (or week, depending on your volume) of their first purchase. This will be the starting point for tracking retention and repeat purchase behavior. 2. Establish a baseline retention curve. Most customer behavior follows a predictable pattern: orders gradually taper off over time. Plot this out to create a baseline curve—a starting point to measure future cohorts against. 3. Weight for recent behavior. Here’s the thing: the customers you acquired last month are much more relevant to forecasting than the ones you acquired three years ago. Weight your analysis to focus on recent cohorts to get a more accurate picture of what’s next. 4. Segment by customer type. Not all customers behave the same way. You might notice early customers were all over the place—some subscribing, some buying once. Breaking this down by type (e.g., subscribers vs. one-time buyers) makes the data a lot more actionable. 5. Adjust for seasonality. Timing matters. A customer you acquire in October is probably going to shop again in November because… Black Friday. That doesn’t mean they’re inherently “better,” but you need to account for these factors when predicting future behavior. 6. Predict orders, not people. Instead of predicting how many customers will come back, focus on the total number of orders a cohort will generate. Then multiply that by your average order value to get to revenue. Trying to count subscribers, then adjust for churn, reschedules, or payment failure will create lots of inputs to manage and ultimately leads to precision without accuracy. 7. Keep it fresh. The most accurate forecasts come from constantly updating your data. Monthly refreshes are usually the sweet spot—they let you capture new trends without bogging you down with constant updates. Sounds like a lot of work? It doesn’t have to be. Drivepoint does all of this out of the box. Want to see how it works? We can ingest your Shopify and Amazon data into actionable retention and revenue forecasts and show you the results. Link in the comments to book time if you want to learn more. ?? #CohortAnalysis #Forecasting #Shopify #Amazon #DTC

?? Big wins for Slumber Cloud after using Drivepoint's finance platform ?? Slumber Cloud scaled their operations and achieved key efficiencies, cutting costs and improving decision-making. Drivepoint's visual modeling tools and automated reporting helped Slumber Cloud transition from manual spreadsheets to a more efficient, scalable system. Here's what we achieved together: ?? 30% savings on financial management costs ?? 90% inventory forecasting accuracy ?? Real-time marketing insights to optimize spend "Drivepoint has transformed how we manage our financials. We're saving time and money, and making smarter decisions across the board." – Willy Van Dehy, CEO at Slumber Cloud Here's how: ? Automated financial modeling for faster, more accurate forecasts ? Optimized marketing spend based on real-time data ? Streamlined inventory forecasting down to the SKU level Want the full story? Check out the full case study ?? https://lnkd.in/em-edj25

Managing complex financial models can be a major time sink, especially for high-growth CPG brands. Not only do you have to consolidate financial data across multiple channels, but transforming that data into actionable insights can also take countless hours. Laundry Sauce's CEO, Ian Blair, experienced this first-hand as the brand rapidly scaled. With so many sources of financial data to account for, even Laundry Sauce's fractional CFO found it challenging to deliver timely insights to the team. But Ian didn't want to burden his internal team with a time-intensive FP&A process. That's when he discovered Drivepoint ?? Using Drivepoint's strategic finance platform, Ian and the Laundry Sauce team can consolidate all the brand's financial data into one place and generate accurate forecasts in mere minutes. The results since our partnership began? ?? 98% forecast accuracy with Drivepoint ?? $12,000 saved annually on financial management ?? 10 hours saved each month Check out the full case study here: https://lnkd.in/ex2Vmvxw

?? Major hiring alert ?? We're thrilled to welcome Dustin Jacobson as our new Account Executive at Drivepoint ?? Dustin brings over a decade of sales experience in the FP&A world, having been the #1 rep at Centage before transitioning into a leadership role. During his time at Centage, Dustin played a major part in scaling the company from $2M to over $10M+ ARR. His expertise in selling to finance leaders + deep understanding of budgeting, forecasting, and reporting challenges make him an invaluable addition to our team. Fun fact: When he's not busy crushing quotas, you might find Dustin indulging in his love for international travel, studying history, or enjoying a glass of wine. He recently explored Denmark, Italy, Greece, and the Galapagos Islands. Welcome to the team, Dustin! Here's to driving growth and what's ahead ??