Logo
    Search

    Gross Margins, Early to Late: What They Do (and Don't) Tell You

    enJune 27, 2020

    Podcast Summary

    • Understanding Gross Margins for StartupsGross margins are crucial for assessing execution risk and estimating long-term profitability in startups. High gross margins enable more cash flow for growth, while software companies typically have margins of 70-80%.

      Gross margins are a crucial financial metric for startups, as they represent a company's revenue from products and services after subtracting the costs to deliver that revenue. However, determining what goes into margins, ideal ratios for growing businesses, and how these ratios change during different stages of a startup can be complex. According to 16z General Partners Martin Casado, David George, and Sarah Wang, understanding gross margins is essential for assessing execution risk in later-stage opportunities and estimating a company's long-term profitability. High gross margins are desirable because they enable a company to generate more cash flow, allowing for increased spending on areas like sales and marketing, product engineering, and overhead functions. Typically, software companies have gross margins ranging from 70% to 80%, with sales and marketing expenses depending on growth rates and retention rates, and R&D and G&A costs decreasing as companies mature. By benchmarking against more mature companies and analyzing a specific company's current margin structure, investors can assess a company's long-term profitability.

    • Understanding Business Cost Structure: Fixed vs VariableAccurately distinguishing between fixed and variable costs is crucial for financial modeling, but startups may find it challenging to categorize costs. Misclassifying software licenses as R&D costs can impact gross margin calculations and future profitability predictions.

      Accurately determining and understanding the cost structure of a business, specifically the distinction between variable and fixed costs, is crucial for accurate financial modeling and forecasting. However, this can be challenging for startups as the lines between various cost categories, such as R&D and COGS, can be blurry. A mistake made in the past was categorizing software licenses as R&D costs, leading to incorrect gross margin calculations and overestimation of future profitability. Gross margins can change significantly as a company matures, with examples like Workday demonstrating this shift from low to high gross margins. Therefore, it's essential to initially focus on understanding the costs associated with generating revenue, but not to obsess over it too early in a company's life cycle.

    • Managing costs in startups: R&D and cloudFounders should prioritize cost considerations early on, recognizing that architectural decisions can impact long-term costs. Boards and investors can encourage this conversation for sustainable growth.

      Understanding and managing costs, particularly in the context of research and development (R&D) and cloud computing, can be challenging for startups, especially when prioritizing growth over margins. R&D costs can vary greatly between products and are often underestimated, while cloud costs have become significant and variable. Engineers may prioritize feature velocity over efficiency, leading to technical debt and higher costs in the long run. Boards and investors may eventually push for improved margins, leading to a predicament for founders who have not focused on cost structures earlier. To avoid this, founders should begin discussing cost considerations early on, recognizing that architectural decisions made now can have long-term implications. Boards and investors can also encourage this conversation to ensure sustainable growth.

    • Transitioning to a 'show versus tell' approach requires demonstrating margin expansionStartups should focus on optimizing margins during later stages, accounting for engineering, scripting, configuration, and implementation costs in COGS.

      While optimizing margins may not be a priority for startups in their early stages, it becomes crucial during later stages when companies transition to a "show versus tell" approach. At this point, demonstrating margin expansion and a credible path to steady state margins is essential. However, predicting COGS can be challenging for startups due to the variability of implementation requirements and the long tail of integrations. Companies may have to account for engineering, scripting, configuration, and even basic implementation as part of their COGS. It's essential to have a clear roadmap for optimizing margins as the company grows.

    • Margins for Modern Software Companies: From Shipping to ServingThe shift from shipping software to delivering it as a service has led to increased focus on operating costs, efficiency, and feature velocity for SaaS companies, ultimately resulting in higher valuations due to predictable revenue streams.

      The analysis of margins for modern software companies, particularly SaaS businesses, has changed significantly due to the shift from shipping software to delivering it as a service. In the past, when software was shipped on CDs, there were less operating costs and less focus on efficiency since the software was no longer being managed once it left the company. However, with the rise of SaaS and infrastructure, there are operating teams, ongoing infrastructure costs, and the need for high feature velocity to unlock new markets. Additionally, the shift to recurring revenue models adds predictability to revenue streams, making it easier for companies to optimize for margins and ultimately leading to higher valuations.

    • Investor confidence in long-term growth and consistent cash flowsHigh revenue multiples signal investor trust, impacting resource allocation and improving overall profitability through proper pricing and efficient processes.

      High revenue multiples in businesses, particularly those with subscription models and high retention rates, indicate investor confidence in long-term growth and consistent cash flows. This predictability benefits both external investors and internal management teams, influencing where they allocate resources and time. It's also crucial for companies with a freemium component to properly account for costs related to serving those users, as this can significantly impact their gross margins. Lastly, addressing gross margin leakage, especially in implementation and services, is essential for companies in the early stages of scaling their operations. Proper pricing and efficient processes can help improve overall profitability.

    • Acknowledging and Charging for ComplexityFounders should recognize that not all implementation challenges can be solved through product development alone, and charging for complex services and integrations can lead to a more efficient and sustainable business model.

      Not all implementation challenges can be easily fixed with more resources or product development. Some complexities are inherent in the product-market fit and require acknowledgement and charging for accordingly. This is particularly true for businesses dealing with integration into legacy systems, data work, and long-tailed interfaces. Founders should not delude themselves into thinking that these issues can be solved solely through product development, but instead, they should charge for the services and complexity involved. Moreover, when it comes to emerging technologies like AI and ML, the cost structure may differ significantly from traditional SaaS businesses. In contrast to traditional software development, the amount of computation and data handling costs can increase over time as the accuracy of solutions relies on the availability and quantity of data. This means that the cost efficiencies may not be the same, and founders should consider this when managing their margins. In essence, it's crucial for founders to understand that complexity cannot always be willed away and that acknowledging and charging for it can lead to a more efficient and sustainable business model.

    • Managing the data challenge in AIML businessesAIML companies face escalating data management costs and need to balance accuracy with profitability. While gross margins may not be the sole focus, a healthy return on invested capital is crucial for long-term success.

      As companies strive to improve their AI and machine learning (AIML) products, they often face the challenge of dealing with exponentially increasing amounts of data. This data management and accuracy game becomes harder as more accuracy is sought, and the costs associated with it can impact margins. Additionally, some AIML companies may appear to shift operational costs from their customers to their own books, but the nature of these data-reliant businesses often results in lower margins compared to traditional software companies. Ultimately, while gross margins may not matter per se, the return on invested capital that a business generates is crucial for long-term success.

    • Building defensible moats for high returnsCompanies with competitive advantages and deep moats, even those with lower gross margins, can generate impressive returns. Google, marketplaces, and enterprise software/infrastructure companies all have unique ways to build defensible moats and achieve high returns, but it takes a long-term focus and strong commitment to scale.

      While it may be easier for businesses with higher gross margins to reinvest and generate higher returns on invested capital, companies with deep moats and competitive advantages, even those with lower gross margins, can also achieve impressive returns. The key is building a durable competitive advantage that makes your product or service indispensable in the value chain. Google, with its 55% gross margins, is an example of a company with a strong competitive advantage and moat, despite paying taxes to its larger customers with higher gross margins. Marketplaces, like Booking and Expedia, can also achieve high returns by focusing on market share in the early days and expanding as they become the market leader. However, the cost centers and long-term margin structures for marketplaces and enterprise software and infrastructure companies can look very different, and the defensibility of the moats being built is a significant factor in determining long-term margins. It's important to note that building defensible moats and achieving high returns often takes a long time and a strong focus on scale.

    • Early marketplaces have lower gross margins but investors look for signs of network effectsFocus on product-market fit and repeatable sales in early stages, discuss potential gross margin pitfalls with team, and look for signs of network effects to reach sustainable gross margins

      Marketplaces, particularly in their early stages, often have lower gross margins due to the significant costs of building network effects and differentiating from competitors. However, investors look for signs of these network effects, such as increased customer retention and winner-takes-all dynamics, which can eventually lead to sustainable gross margins. Founders should focus on product-market fit and repeatable sales in the early stages, and not worry too much about gross margins until they reach the operational stage. It's important for founders to be aware of potential gross margin pitfalls, but not to obsess over them in the early stages. Instead, they should have open discussions with their technical and business teams about how to structure their business to avoid these pitfalls.

    • Building a successful business: The basicsFocus on the basics, have a clear vision, build a strong team, be adaptable, prioritize, stay patient and persistent, stay focused on the customer, and be open-minded to learning from mistakes.

      While it's important to understand the complexities of building a successful business, it's equally important not to get bogged down in the details when starting out. Instead, focus on the basics and be prepared to tackle more advanced issues as your business matures. The speakers on the 16z podcast discussed the importance of having a clear vision, building a strong team, and being adaptable in the face of challenges. They emphasized the need to prioritize and not try to tackle too many things at once. They also highlighted the importance of being patient and persistent, as success often takes time. Additionally, they shared insights on the importance of staying focused on the customer and their needs, as well as the importance of being willing to pivot when necessary. They encouraged entrepreneurs to be open-minded and to learn from their mistakes, rather than being discouraged by them. Overall, the key takeaway is that building a successful business requires a combination of vision, hard work, adaptability, and a willingness to learn. It's important to stay focused on the basics and not get overwhelmed by the complexities of running a business, while also being prepared to tackle more advanced issues as your business grows.

    Recent Episodes from a16z Podcast

    Cybersecurity's Past, Present, and AI-Driven Future

    Cybersecurity's Past, Present, and AI-Driven Future

    Is it time to hand over cybersecurity to machines amidst the exponential rise in cyber threats and breaches?

    We trace the evolution of cybersecurity from minimal measures in 1995 to today's overwhelmed DevSecOps. Travis McPeak, CEO and Co-founder of Resourcely, kicks off our discussion by discussing the historical shifts in the industry. Kevin Tian, CEO and Founder of Doppel, highlights the rise of AI-driven threats and deepfake campaigns. Feross Aboukhadijeh, CEO and Founder of Socket, provides insights into sophisticated attacks like the XZ Utils incident. Andrej Safundzic, CEO and Founder of Lumos, discusses the future of autonomous security systems and their impact on startups.

    Recorded at a16z's Campfire Sessions, these top security experts share the real challenges they face and emphasize the need for a new approach. 

    Resources: 

    Find Travis McPeak on Twitter: https://x.com/travismcpeak

    Find Kevin Tian on Twitter: https://twitter.com/kevintian00

    Find Feross Aboukhadijeh on Twitter: https://x.com/feross

    Find Andrej Safundzic on Twitter: https://x.com/andrejsafundzic

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

     

    The Science and Supply of GLP-1s

    The Science and Supply of GLP-1s

    Brooke Boyarsky Pratt, founder and CEO of knownwell, joins Vineeta Agarwala, general partner at a16z Bio + Health.

    Together, they talk about the value of obesity medicine practitioners, patient-centric medical homes, and how Brooke believes the metabolic health space will evolve over time.

    This is the second episode in Raising Health’s series on the science and supply of GLP-1s. Listen to last week's episode to hear from Carolyn Jasik, Chief Medical Officer at Omada Health, on GLP-1s from a clinical perspective.

     

    Listen to more from Raising Health’s series on GLP-1s:

    The science of satiety: https://raisinghealth.simplecast.com/episodes/the-science-and-supply-of-glp-1s-with-carolyn-jasik

    Payers, providers and pricing: https://raisinghealth.simplecast.com/episodes/the-science-and-supply-of-glp-1s-with-chronis-manolis

     

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    The State of AI with Marc & Ben

    The State of AI with Marc & Ben

    In this latest episode on the State of AI, Ben and Marc discuss how small AI startups can compete with Big Tech’s massive compute and data scale advantages, reveal why data is overrated as a sellable asset, and unpack all the ways the AI boom compares to the internet boom.

     

    Subscribe to the Ben & Marc podcast: https://link.chtbl.com/benandmarc

     

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    Predicting Revenue in Usage-based Pricing

    Predicting Revenue in Usage-based Pricing

    Over the past decade, usage-based pricing has soared in popularity. Why? Because it aligns cost with value, letting customers pay only for what they use. But, that flexibility is not without issues - especially when it comes to predicting revenue. Fortunately, with the right process and infrastructure, your usage-based revenue can become more predictable than the traditional seat-based SaaS model. 

    In this episode from the a16z Growth team, Fivetran’s VP of Strategy and Operations Travis Ferber and Alchemy’s Head of Sales Dan Burrill join a16z Growth’s Revenue Operations Partner Mark Regan. Together, they discuss the art of generating reliable usage-based revenue. They share tips for avoiding common pitfalls when implementing this pricing model - including how to nail sales forecasting, adopting the best tools to track usage, and deal with the initial lack of customer data. 

    Resources: 

    Learn more about pricing, packaging, and monetization strategies: a16z.com/pricing-packaging

    Find Dan on Twitter: https://twitter.com/BurrillDaniel

    Find Travis on LinkedIn: https://www.linkedin.com/in/travisferber

    Find Mark on LinkedIn: https://www.linkedin.com/in/mregan178

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    California's Senate Bill 1047: What You Need to Know

    California's Senate Bill 1047: What You Need to Know

    On May 21, the California Senate passed bill 1047.

    This bill – which sets out to regulate AI at the model level – wasn’t garnering much attention, until it slid through an overwhelming bipartisan vote of 32 to 1 and is now queued for an assembly vote in August that would cement it into law. In this episode, a16z General Partner Anjney Midha and Venture Editor Derrick Harris breakdown everything the tech community needs to know about SB-1047.

    This bill really is the tip of the iceberg, with over 600 new pieces of AI legislation swirling in the United States. So if you care about one of the most important technologies of our generation and America’s ability to continue leading the charge here, we encourage you to read the bill and spread the word.

    Read the bill: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB1047

    a16z Podcast
    enJune 06, 2024

    The GenAI 100: The Apps that Stick

    The GenAI 100: The Apps that Stick

    Consumer AI is moving fast, so who's leading the charge? 

    a16z Consumer Partners Olivia Moore and Bryan Kim discuss our GenAI 100 list and what it takes for an AI model to stand out and dominate the market.

    They discuss how these cutting-edge apps are connecting with their users and debate whether traditional strategies like paid acquisition and network effects are still effective. We're going beyond rankings to explore pivotal benchmarks like D7 retention and introduce metrics that define today's AI market.

    Note: This episode was recorded prior to OpenAI's Spring update. Catch our latest insights in the previous episode to stay ahead!

     

    Resources:

    Link to the Gen AI 100: https://a16z.com/100-gen-ai-apps

    Find Bryan on Twitter: https://twitter.com/kirbyman

    Find Olivia on Twitter: https://x.com/omooretweets

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    Finding a Single Source of AI Truth With Marty Chavez From Sixth Street

    Finding a Single Source of AI Truth With Marty Chavez From Sixth Street

    a16z General Partner David Haber talks with Marty Chavez, vice chairman and partner at Sixth Street Partners, about the foundational role he’s had in merging technology and finance throughout his career, and the magical promises and regulatory pitfalls of AI.

    This episode is taken from “In the Vault”, a new audio podcast series by the a16z Fintech team. Each episode features the most influential figures in financial services to explore key trends impacting the industry and the pressing innovations that will shape our future. 

     

    Resources: 
    Listen to more of In the Vault: https://a16z.com/podcasts/a16z-live

    Find Marty on X: https://twitter.com/rmartinchavez

    Find David on X: https://twitter.com/dhaber

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    A Big Week in AI: GPT-4o & Gemini Find Their Voice

    A Big Week in AI: GPT-4o & Gemini Find Their Voice

    This was a big week in the world of AI, with both OpenAI and Google dropping significant updates. So big that we decided to break things down in a new format with our Consumer partners Bryan Kim and Justine Moore. We discuss the multi-modal companions that have found their voice, but also why not all audio is the same, and why several nuances like speed and personality really matter.

     

    Resources:

    OpenAI’s Spring announcement: https://openai.com/index/hello-gpt-4o/

    Google I/O announcements: https://blog.google/technology/ai/google-io-2024-100-announcements/

     

    Stay Updated: 

    Let us know what you think: https://ratethispodcast.com/a16z

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

     

     

    Remaking the UI for AI

    Remaking the UI for AI

    Make sure to check out our new AI + a16z feed: https://link.chtbl.com/aiplusa16z
     

    a16z General Partner Anjney Midha joins the podcast to discuss what's happening with hardware for artificial intelligence. Nvidia might have cornered the market on training workloads for now, but he believes there's a big opportunity at the inference layer — especially for wearable or similar devices that can become a natural part of our everyday interactions. 

    Here's one small passage that speaks to his larger thesis on where we're heading:

    "I think why we're seeing so many developers flock to Ollama is because there is a lot of demand from consumers to interact with language models in private ways. And that means that they're going to have to figure out how to get the models to run locally without ever leaving without ever the user's context, and data leaving the user's device. And that's going to result, I think, in a renaissance of new kinds of chips that are capable of handling massive workloads of inference on device.

    "We are yet to see those unlocked, but the good news is that open source models are phenomenal at unlocking efficiency.  The open source language model ecosystem is just so ravenous."

    More from Anjney:

    The Quest for AGI: Q*, Self-Play, and Synthetic Data

    Making the Most of Open Source AI

    Safety in Numbers: Keeping AI Open

    Investing in Luma AI

    Follow everyone on X:

    Anjney Midha

    Derrick Harris

    Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

    a16z Podcast
    enMay 16, 2024

    How Discord Became a Developer Platform

    How Discord Became a Developer Platform

    In 2009 Discord cofounder and CEO, Jason Citron, started building tools and infrastructure for games. Fast forward to today and the platform has over 200 million monthly active users. 

    In this episode, Jason, alongside a16z General Partner Anjney Midha—who merged his company Ubiquiti 6 with Discord in 2021—shares insights on the nuances of community-driven product development, the shift from gamer to developer, and Discord’s longstanding commitment to platform extensibility. 

    Now, with Discord's recent release of embeddable apps, what can we expect now that it's easier than ever for developers to build? 

    Resources: 

    Find Jason on Twitter: https://twitter.com/jasoncitron

    Find Anjney on Twitter: https://twitter.com/AnjneyMidha

     

    Stay Updated: 

    Find a16z on Twitter: https://twitter.com/a16z

    Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

    Subscribe on your favorite podcast app: https://a16z.simplecast.com/

    Follow our host: https://twitter.com/stephsmithio

    Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

     

    Related Episodes

    The Basics of Growth Marketing: User Acquisition

    The Basics of Growth Marketing: User Acquisition

    Once known as “growth hacking”, the concept of Growth has now evolved into an entire discipline that spans marketing, product management, user experience, and more. Why? After achieving product-market fit, startups need to capitalize quickly on that initial traction to capture and retain more users and market share before the competition does, and building an efficient and resilient growth strategy is a critical component.

    This episode -- one of two in a series -- focuses on the user acquisition aspect of growth. Featuring a16z general partners Andrew Chen (formerly of Uber and author of the book, The Cold Start Problem) and Jeff Jordan (formerly of OpenTable, eBay, Disney, and more), in conversation with Sonal Chokshi, the discussion also covers the nuances of paid vs. organic marketing (and the perils of blended CAC); the role of network effects; where does customer lifetime value (LTV) come in; and much more. Because at the end of the day, businesses don't grow themselves. 

    Demystifying Investing using Special Purpose Vehicles (SPVs) – Part I

    Demystifying Investing using Special Purpose Vehicles (SPVs) – Part I

    Is investing with Special Purpose Vehicles (SPVs) a complex and somewhat exclusive realm or can it be simplified and democratized? Nik Talreja, co-founder and CEO of Sydecar IO, joins Marcia Dawood on this enlightening episode of The Angel Next Door Podcast to offer some intriguing answers that challenge the norms.

    Nik, possessing a rich background in law and investments, has spent considerable time rubbing shoulders with venture capitalists, which led him to establish the remarkable Sydecar platform. As a passionate innovator seeking to alleviate investment complexities, Nik Talreja was born to be a game changer. He began his journey investing in Israeli startups and quickly noticed a gap in the marketplace for efficient SPV management. Unhappy with the services provided by vendors, Nik and his co-founder decided to take matters into their own hands. They created a fund called 18 Ventures, and ultimately, Sydecar was born. The platform began as a vital tool for their investors, but it rapidly gained popularity among other managers who were desperately seeking similar solutions.

    In this episode, Nik Talreja demystifies the intricate process of managing small-scale investments through SPVs, shedding light on how Sydecar standardizes and automates complex procedures – right from raising capital to issuing K-1 forms. The platform’s potential has expanded beyond just venture capital workflows and now serves the private market investing industry as a whole. As Sydecar aims to support emerging and mid to late stage managers, as well as fintech partners, this episode is a must-listen for entrepreneurs, investors, and all stakeholders in the private sector who want to streamline their operations.

    To get the latest from Nik Talreja, you can follow him below!

    LinkedIn - https://www.linkedin.com/in/niktalreja/

    Sydecar.io - https://www.sydecar.io/

     

    Sign up for Marcia's newsletter to receive tips and the latest on Angel Investing!

    Website: www.marciadawood.com

     

    And don't forget to follow us wherever you are!

    Apple Podcasts: https://pod.link/1586445642.apple

    Spotify: https://pod.link/1586445642.spotify

    LinkedIn: https://www.linkedin.com/company/angel-next-door-podcast/

    Instagram: https://www.instagram.com/theangelnextdoorpodcast/

    TikTok: https://www.tiktok.com/@marciadawood

    Why we’re changing how we calculate metrics

    Why we’re changing how we calculate metrics

    We just rolled out a change to Buffer’s very public revenue dashboard that resulted in a $25,000 increase in MRR. This article provides some backstory in to how we originally calculated metrics and the transition to a greatly improved version of metric calculation we’ve been building over the past year._

    Very few things in life are black & white, but we so desperately want them to be. Life’s just easier when the choices are obvious. And that certainly holds true with entrepreneurship.

    Every day you’re faced with hundreds, if not thousands, of choices to make, most of which lack obvious answers. You make an educated guess, you move on, and you address any potential problems that arise from said guess.

    I wanted to build a service that removed a lot of those decisions you had to make when it came to your business data. Constantly making decisions about how to calculate this, which formula made the most sense for that or figuring out how to get all the data in one place…it can be incredibly overwhelming.

    So, in 2013, I started Baremetrics to address that very thing. The premise being that you shouldn’t need to make so many decisions. You should just be able to get the information you need to grow your business and carry on with actually growing your business.

    If only it had been that easy…

    Endless options

    As a founder, you’ve likely spent an inordinate amount of time learning How to Business™. You may even have a degree saying you’re a Master at Businessing. But it turns out all that research and reading doesn’t replace just getting in there and doing it.

    In fact, I’d argue that spending too much time learning the minutia actually hinders your ability to grow and build a company.

    For example, there are endless articles on how to calculate X metric, why this formula is better than that formula and what the “right” way to calculate it is. After you’ve read all of those things you’re essentially back at square one with a burning heap of conflicting information. Take the Pacific Crest SaaS Company Survey: it outlines nearly 50 different ways that companies calculate retention rates. 50! That’s nearly 50 different formulas for a single metric.

    For 99% of founders, it’s an epically terrible use of time to sift through all that information to learn the detailed intricacies of metric reporting and the pros/cons of each calculation formula. There are just a thousand more profitable uses of your time.

    I’m on a tangent now, so let’s get back to my original goal with Baremetrics: How do we make decisions so founders don’t have to?

    It’s Complicated

    I knocked out the first version of Baremetrics in a month, based primarily on my own needs building a couple of SaaS products. Within a few weeks, as more and more businesses started using the service, I started realizing just how different businesses can be.

    When you read “SaaS company” you likely think of the traditional set of 3-5 monthly plans with customers that regularly and reliably pay. In practice though, that’s just not how it works. It’s never that clean. For any company. Ever.

    Business is messy and subscriptions are insanely complicated to address properly. Customers change their minds, they grow, they shrink, their payments fail, they demand refunds, they want coupons, etc. We currently cover over 30 different possible subscription “states” to address this. Who knew simple subscriptions could vary so much?!?!

    All of these things (and thousands of other scenarios) need to be accounted for. But how do you account for them appropriately and usefully? That’s the real question. What’s most useful from a decision-making perspective?

    Changes

    Over the past 2+ years of serving thousands of businesses, we’ve seen a lot of use cases. And over those years we’ve learned an immense amount about what’s useful and what’s actually needed to run a business and make decisions.

    When we initially launched, we based most of our metrics off the idea of a “charge”. If there was a charge and that charge was tied back to a subscription plan, then we’d consider it “Monthly Recurring Revenue”. That worked pretty great initially, and covered a lot of use cases.

    But over time we found that method was a bit too volatile for a metric as important as MRR and it was hard to make the connection between “charges” and “subscription activity”. That’s what most founders are actually after because the subscription conveys what their customers were actually doing.

    It was during this time that we had a bit of an epiphany: we are not an accounting tool—we’re a business decision making tool.

    That’s a very important distinction because the expectations of those tools are entirely different. “Charged-based metrics”, as we called it, was built from the accounting perspective. But we decidedly did not want to be an accounting tool.

    So we started a shift that’s been nearly a year in the making. We’ve been moving over to what we call “subscription-based metrics”…which is based on the states of subscriptions rather than the charges themselves.

    This lets us build the history of a customer and their subscriptions from beginning to end, telling a more complete story. It lets you dig in to your numbers so when they change, we can show exactly why. And the answer to “why” is where real business insights are found.

    So why do you care? Well, for most customers, it means their metrics will have a slight shift. Which when you’re talking about “data”, sounds like the worst possible thing on earth, because traditionally “data” is viewed as black & white. It is what it is.

    But our goal isn’t simply to provide “data”…it’s to provide decision-making insights. It’s to surface trends, to see progress, to find the driving force behind revenue, to learn what is and isn’t working. And that's what the shift to subscription-based metrics allow us to do.

    To our customers

    I know it can be disconcerting to see numbers change, but this shift allows us to not only give you more accurate metrics, but also more actionable insights.

    At this point, about 70% of you are actually on the new system already and taking advantage of all the new features this change enables (revenue breakouts, cohorts, trendlines and more). The remaining 30% should be moved over in the coming 2-3 weeks.

    As we’ve been rolling this out, we’re hearing time and time again that it’s much more in line with how businesses want to view and use their data. Deeper insights, better views into trends, more answers to the “why’s”.

    In addition, this lays the foundation for much faster development, much more stable numbers, and many more useful features that we’re excited to get working on.

    If you have any questions about this, we’re always an email away: hello@baremetrics.com.

    220: Alexander Allin of Trales: Powering The Pulse of Tomorrow's World Travel

    220: Alexander Allin of Trales: Powering The Pulse of Tomorrow's World Travel

    Nick Hughes is joined by Alexander Allin, CEO and founder of Trales from Stockholm Sweden. Trales lets travelers experience their destination through immersive audio and location based stories.

    The episode starts with Nick and Alexander discussing his background and journey into entrepreneurship and startups. We hear his passion for travel. And why start a company? We then hear  about his experience Pitching at Founders Live, he was the Stockholm winner. Next, they talk about why Alexander started the company Trales. Why travel? How does it work  and what is the user experience? Where is Trales available and who can use it? We hear the vision, and what Alexander sees in 5 to 10 years from now, including AI enhancements and data security.  Lastly, Alexander gives his advice for founders and what to do when getting started with a team. This is a great interview with an inspiring founder from Stockholm,  we hope it helps you today. 

    https://trales.io

    Inside the World of Startup Accelerators

    Inside the World of Startup Accelerators

    Anna Wood, Deputy Editor at Startups Magazine speaks to Tzahi (Zack) Weisfeld, Vice President at Intel Ignite: Intel for Startups at Intel Corporation all about his journey from Microsoft for Startups to helping Intel create their programme, Intel Ignite, as well as the pros and cons of accelerator programmes for startups.