RodeoCPG’s cover photo
RodeoCPG

RodeoCPG

Food and Beverage Services

Aspen, CO 4,420 followers

Reinventing how better-for-you brands grow in retail.

About us

Rodeo is reinventing how better-for-you brands grow in retail.

Industry
Food and Beverage Services
Company size
11-50 employees
Headquarters
Aspen, CO
Type
Privately Held
Founded
2015
Specialties
cpg , food and beverage, operations, sales management, logistics, consumer packaged goods, grocery store sales, cpg product launch, and Supply chain

Locations

Employees at RodeoCPG

Updates

  • RodeoCPG reposted this

    If your brand is moving lots of volume through UNFI, KEHE, and/or regional distributors… ...How long does it take your team to answer questions like: ❓Are certain DCs running low on inventory? ❓Are we dealing with out-of-stocks right now? ❓Which SKUs are slowing down and why? ❓How many cases did we sell per warehouse last month? ❓Which accounts are driving my business and which are holding it back? Brands can spend hours pulling and prepping data from 5+ places before they can even start answering these questions. With SnoBase, you can know all this in minutes within one easily navigable solution. SnoBase automatically ingests your data, cleans it, and shows you: 📊 Unit velocities by DC, region, and SKU 📊 An actually accurate inventory weeks on hand calculation 📊 Growth hotspots across doors, chains, and geos 📊 Out-of-stocks and trends in replenishment SnoBase was built by brand operators (Zachary DeAngelo, Kevin Mannering) for brand operators. We created SnoBase because we were tired of juggling different tools and portals to get the clear answers we needed. Whether you're managing sales, supply chain, or retail execution, SnoBase brings it all together: ✅ Wholesale Analytics that resemble EComm Analytics ✅ CRM for wholesale accounts ✅ Forecasting & pipeline management ✅ Purchase order & promo tracking Affordable. Flexible. No long-term contracts. Flat monthly pricing or pay by data source No onboarding traps or surprise fees If you're moving serious volume through wholesale distribution, SnoBase will save you time, money, and headaches. 🔗 Demo link in the comments 👇

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  • Rodeo is happy to share a helpful post for founders approaching a manufacturer search by Julia Megson, Co-Founder of Rescale. Check out the full blog on our website (link in comments!) and check out Rescale at tryrescale.com — 📢 Thinking about switching manufacturers? You’re not alone. One of the most common questions we hear from emerging brands is: “Should I look for a new manufacturer?” Julia has pulled together a no-fluff guide to help founders like you answer this exact question—and actually act on it. Whether you’re: Moving on from self-manufacturing Replacing a current co-man Or expanding to meet growth… This post walks you through: ✅ How to know if you're ready to search ✅ What key questions to ask if you already have a co-man ✅ 3 proven paths to actually find the right partner (DIY, Consultant, Rescale) Julia has visited 100+ manufacturing facilities across the country and guided dozens of brands through this exact process. If you're facing this decision, I promise: this guide will save you weeks of wasted time.

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  • !

    View profile for Kevin Mannering

    building for cpg

    Here’s a little “aha” moment I had last week while speaking with an ecomm brand doing close to 8 figures direct-to-consumer and planning to expand into retail by 2026. As I launched into my explanation of the value of SnoBase, they interrupted me mid-pitch and said, "I get it, this is basically Shopify Analytics for the wholesale/retail channel." Wow. It was a humbling reminder of the power of simple, clear explanations. When you’re in the weeds of your product every day, it’s easy to overcomplicate things. An outsider’s perspective can illuminate the simplest way to communicate your value. Another lesson from this interaction? Always listen to customer needs. During the conversation, they inquired whether I had a shareable version of our chain retailer directory for food and beverage brands mapping out their distribution strategy. I didn’t at the time, but I promised to create one. Since then, I’ve pulled together a list of retailers, including store counts, channels they operate in, and the regions they cover. Now, I’d like to share this list with YOU. If you’re a food or beverage brand researching retailers or know someone who would benefit, DM me or comment “List” below, and I’ll send it your way—for free. 🎁 Also, pro tip for entrepreneurs and business leaders out there: talk to everyone.

  • RodeoCPG reposted this

    Here’s a little “aha” moment I had last week while speaking with an ecomm brand doing close to 8 figures direct-to-consumer and planning to expand into retail by 2026. As I launched into my explanation of the value of SnoBase, they interrupted me mid-pitch and said, "I get it, this is basically Shopify Analytics for the wholesale/retail channel." Wow. It was a humbling reminder of the power of simple, clear explanations. When you’re in the weeds of your product every day, it’s easy to overcomplicate things. An outsider’s perspective can illuminate the simplest way to communicate your value. Another lesson from this interaction? Always listen to customer needs. During the conversation, they inquired whether I had a shareable version of our chain retailer directory for food and beverage brands mapping out their distribution strategy. I didn’t at the time, but I promised to create one. Since then, I’ve pulled together a list of retailers, including store counts, channels they operate in, and the regions they cover. Now, I’d like to share this list with YOU. If you’re a food or beverage brand researching retailers or know someone who would benefit, DM me or comment “List” below, and I’ll send it your way—for free. 🎁 Also, pro tip for entrepreneurs and business leaders out there: talk to everyone.

  • What do you guys do at Rodeo? 🖥️ 📊 SnoBase: Data analytics, retailer management, and sales planning. Seamless integration to keep sales & operations aligned. 📈 📣 Fractional Sales Management: Strategic lead, multiple market experts, and administrative support in one hire. We develop and implement a winning retail sales strategy for your brand. 🚛 🏭 Fractional Operations: Flexible solutions for outsourced operations management. Dependable and scalable execution. Strategic Growth. Intelligent Execution. 📩 Contact us today via DM or hello@rodeocpg.com hello@SnoBase.com

  • View profile for Kevin Mannering

    building for cpg

    Does incorporating sales team input into your forecast feel like a game of telephone? Sales forecasting often fails not because of bad intent, but because of process design and technological limitations, which lead to a lack of a trust and a host of negative outcomes. Through a series of conversations as we build SnoBase, I've been looking at wholesale sales forecasting practices across a range of consumer brands. In a couple of cases, companies had abandoned forecasting with sales inputs entirely due to the unreliability of the information! But the big takeaway from $300k to $300mn is that sales projection communications degrade as they move through organizations. The process resembles the game of telephone, but with higher stakes and far less visibility (see diagram, and link to expanded piece in the comments). If you’re working on demand forecasting, S&OP integration, or building scalable systems, this may be a useful lens. And I'd love to chat with you next!

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  • RodeoCPG reposted this

    View profile for Kevin Mannering

    building for cpg

    Context matters. When forecasting for new retailer placements, you are likely collecting some key metrics from your sales lead for the account: 📝 what SKUs are launching and when? 📝 number of stores? 📝 estimated velocity? This can get you some rough baseline numbers to generate your initial pipeline forecast for the account. These likely go into the broader demand plan, which likely has some determinative logic for growth over time based on historical patterns in your data. When you start to stack account upon account upon account, the context upon which each of these assumptions are based begins to disappear into the ether, which is a real problem because the more complex the calculation, the more impactful each underlying variable will become. Let's use a real example to illustrate: What if you had launched 4 SKUs in Target in 2019 and you were launching a new 4 SKU product line in Target in 2025. Your sales lead has probably farmed the latest velocity projection for your baseline pipeline forecast. But what about the ramp assumptions? Would you build in a similar ramp of % velocity lift that your historical data indicates you experienced in 2020-2022? If your forecast is going by historical trend data, you might just be without even knowing it. But if you could quickly isolate that one assumption, while completely logical out of context, in context (see the chart and remember the world at that time) that would be ridiculous. Not just haha ridiculous, but perhaps 30% overblown and compounding into the future ridiculous. Ouch. Forget even the forecast and resulting pain for a second, how do you even answer, honestly and well, the simple question from the board of "how is the new launch going at Target?" Enough problems, how do we account for these externalities at scale? We design a predicative system that begins by properly defining the context within which we are operating. One that synthesizes 1st party data (your sales lead), 2nd party data (from your trading partner, Target in this case) and 3rd party data (the externalities) into one easy to use system. Now, think about your brand and the amount of times you've thrown away product, steeply discounted product, and/or spent slotting and promotional dollars on an account that didn't return ROI. Innovation that didn't work, you can live with that. People are picky, it is part of the creative process, etc. But the above stuff gnaws at you. Finally, think about the abundant innovation economy we can unlock by marrying the thousands of incredible innovators in our industry with predictive analytics at scale, so they can grow and operate at drastically lower costs and reap the rewards for themselves and their teams. Thanks for indulging me.

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  • RodeoCPG reposted this

    Looking forward to walking Expo West next week and hanging out at the booths of some of the great companies we are privileged to work with at RodeoCPG, whether through our software products, our sales & operations services, or both. Check these guys out! Beekeeper Coffee N 236 Bowlcut N 147 CALIWATER N 2206 CHUZA N 643 Eatiful (AUGA group) N 837 Huel 3895 Local Weather 5496 NA Trading 2693 Nurture Life 433 Puravida Foods, Inc. 2182 Purely Elizabeth 591 root foods co N 1933 SOMOS Foods N628 & N629 Sunnie 5479 Three Trees F 53 Tia Lupita®Foods N 646 Ulu Foods 8705 Unity Wellness 1546 Zachary DeAngelo Mareill Kiernan Christine Morse, SHRM-SCP Walker Angell Salar Javaid Jessika Morgan Brian Waterloo Jessica Villanueva Danielle Medcalf Gina Wissmiller Stormy Harper Ryan Frederick Robin Italiano Uzair Hashmi

  • RodeoCPG reposted this

    We’re thrilled to unveil our new software rebrand and renewed strategic direction. First off, the rebrand: As of today, Pitchable is now SnoBase. If we’ve learned one thing working with over 300 brands in the last 6+ years at RodeoCPG, it is that the most consequential decisions related to cash management lay at the intersection of sales and operations. With SnoBase, we intend to optimize the sales and operations planning (S&OP) process by offering a clean, intuitive, and intelligent home base for sales and ops collaboration. Now, the renewed direction. As we see it, the S&OP process consists of 4 high-level decisions, codified as “plans”: 📊 The sales plan: How much product is likely to be purchased by the consumer over x time period? 🚚 The demand plan: How much product is likely to be demanded by ship to customers? 🏭 The production plan: How much new product do we need to produce (and when) to optimize finished good inventory across our supply chain?    💰 The procurement plan: How much of each component do we need to procure from our suppliers to be able to meet the production plan? Broken branches in this decision tree have massive implications, especially for early and growth stage consumer brands. The way data is brokered out to brands, often at a cost and always several machinations away from usable, introduces high levels of risk right at the roots of this process. Brand teams are incredibly creative. The workarounds that exist in Excel or in multi-layered point solution “tech stacks” are impressive, if exhausting and prohibitively expensive. We also know from talking to so many of these teams, they all are in the camp that “there has to be a better way”. SnoBase aims to offer that better way. We come at this problem as former brand operators trying to contribute to a new paradigm in the consumer innovation ecosystem, rather than seeking rent from the old one. Our vision is an innovation ecosystem that generates abundant, affordable, and high quality consumer products. Our role in that ecosystem is to build software that enables brands to operate and grow at drastically lower cost than is possible today. Right now, we're focused on automating the sales and operations planning process to clarify confusion, simplify decision-making, and eliminate waste. If you’d like to learn more visit our new website at SnoBase.com, or reach out to me or Zachary DeAngelo. If you’ll be at Expo West next week, we’d love to set up a time to meet up off the floor or at your booth.

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