Metrics that Measure Up

Peter Walker, Head of Insights at Carta the industry-leading Equity Management Platform shares equity valuation insights and data from the 36,000+ customers and $2.5T in equity value running on their platform. Peter's goal is to make the data Carta has in their platform useful for CEOs and CFOs to inform decision-making.Start-up valuations trends increased dramatically in the 2020 - early 2022 timeframe - creating a valuation bubble. A few highlights from Peter included:Seed Stage:Q1-23: $13M pre-money (median)Q2-23: $12.7M pre-money (median)Series A: Q1-23: $40M pre-money (median)Q2-23: $39M pre-money (median)Series C: Q1-23:$300M pre-money (median)Q2-23 $250M pre-money (median)The ~ 20% decrease in pre-money valuations for Series C companies highlights the lack of a short-term IPO exit option and begins to normalize back to more historic valuations.Overall VC investment trends also highlight a material decrease in the amount of Venture Capital investments being made:Q4-21: $66B investment recorded on Carta (all-time high)Q1-23: $10B investment recorded on CartaQ2-23: $10B investment recorded on Carta - estimate onlyPeter highlighted the "SAFE" market held up better than most other price equity markets. Specifically, SAFE's over $500,000 were priced fairly equivalent to price equity seed rounds. Because of the ease of use of a SAFE, it has become the most common fundraising vehicle for pre-seed and seed rounds.Peter also highlighted that AI is a "hot space" for investors. The median cash raised for an AI company was $13M versus $8M for non AI companies in Q2-23.Next during the conversation, we discussed the trends on staffing and operating expense trends. Carta tracks terminations and the trends are quite insightful:January was the highest month for lay-offs ever for companies on Carta, numbering 17,000 lay-offs representing about 2% for the month (24% annualized) versus the norm of .5% - 1% per month. This number was reduced to 10,000 lay-offs in May. The other insight is that people are not leaving for voluntary termination reasons - highlighting the desire to not switch jobs in this market.One other topic we discussed was the compensation trends in early-stage companies. The rapid increases in salaries experienced in 2020 through the first half of 2022 have changed dramatically. Even software engineering roles saw a -.3% decrease over the past 6+ months, which is not material, but much different than the 10%+ increases experienced in 2020 - 2021. Sales were the most impacted function as measured by compensation decreases, followed closely by recruiter compensation.We also discussed the emerging trend of "down-rounds" which represented 20% of equity rounds in Q2-23. Moreover, the velocity of "angel investments" is down dramatically in 2023. After the explosion in angel investments in January 2020 - March 2023. Since then the # of angel investments is down by ~ one-third over the last six months - however, that is still above the historic levels of angel investments previous to 2021.One last data point is that Silicon Valley and the Bay area is still the #1 geographic region for VC investment when compared to New York (79% in Northern California and 21% in New York). However, when looking at NYC versus San Francisco the mix is much more equal with an ~ 50% to 50% mix in equity rounds raised.If you share my passion for all things metrics and data for B2B SaaS companies, this conversation with Peter Walker, Head of Insights at Carta is illuminating!!!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Product-Led Growth (PLG) is viewed as a new Go-to-Market motion by many - but to Carilu Dietrich it was her reality as the Chief Marketing Officer for a pioneer in PLG - Atlassian, developer of JIRA.Carilu was the driving force behind making developer products cool while helping to scale Atlassian from $50M ARR to over $400M leading to an IPO!Before Atlassian, Carilu started as an enterprise sales professional, and then started cross-training, including being responsible for the initial digital advertising for the launch of the iPad. Today's discussion centered on the journey of scaling a PLG company from $50M ARR to $500M ARR.What's the role of Marketing in a PLG company? It's much more of a B2C model, which included Atlassian's strategy to invest one-half less on Sales and Marketing and invest that saving in building the world's best product that sells itself! By hanging out in communities where the target buyer personas discuss the benefits of using the product, the primary source of new customers is inbound, versus requiring the expense of outbound sales investments.Atlassian was boot-strapped, which enabled the executive team to continue their "PLG" Go-to-Market motion even when others were strongly encouraging them to add in an enterprise Sales led motion. The real challenge is how to add in sales while maintaining the core focus of Product-Led Growth. The two models will inherently compete for constrained resources, especially financial and human capital.In a focused "PLG" environment, the primary goal is to ensure new users can experience the core value of the product, and translate their initial experience in a trial environment to a paying user.At Atlassian, Marketing was primarily responsible for awareness and top-of-funnel development while the "Growth" team was responsible for points of user engagement following hitting the "trial button" and nurturing new customers and converting them into paid users and ultimately paid enterprise customers. Initially, Atlassian focused on the "individual users", and progressing them from free users to paid users through up-sells and cross-sells which was primarily driven by Marketing. Sales was primarily responsible for paid user renewals, and over time sales then expanded their focus on converting a group of individual users to a company-wide, enterprise agreement.Next, we discussed hyper-growth at scale from the $50M to $500M level. As a small, early-stage company it is hard and even not advisable to hire people who have "seen" the movie at a higher level of scale. In the early stages, companies are looking for Product Market Fit and then in the next stage after they have repeatable sales they increase investment in Marketing to generate more top-of-funnel demand. Ultimately, the goal is to look for "step-ups" such as new product introduction, expanding into new global markets or even changing financial models to prepare for a larger financial return. At each step of the journey, executive leadership needs to continuously review and evolve the corporate strategy that provides the north star for the next phase of the journey.One of the techniques that Atlassian used was continuous experimentation. Beyond A/B testing for tactical enhancements, the need for additional market research to understand how the market is evolving, including competitive presence and user expectations.If you are preparing for the next stage of growth, and on the path to maintaining hyper-growth at scale, this conversation with Carilus is a great listen!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Anthony Kennada, is the founder and CEO of AudiencePlus and formerly the Chief Marketing Officer at Hopin and Gainsight...quite the pedigree!Anthony joined our host, Ray Rike to discuss the evolving nature of community and content led-growth, which is a strategy and topic trending across every B2B SaaS CMO. Anthony takes the topic a step further and highlights why "Owned Media" is a critical component in every B2B SaaS CMOs Go-to-Market strategy.Anthony's experience in using content and community at Gainsight serves as the foundation for Anthony's vision for AudiencePlus and its customers. Over the past few years, community development has traditionally been focused on the customer, but over the last few years expanding the reach of the content and the inclusion of all stakeholders interested in the topics the brand is creating and evangelizing has become a key part of the Marketing strategy to create a "halo" effect around the brand.Anthony was involved in building the Gainsight "Pulse" community from the ground up. During the early days, Gainsight took the role of building the stage for the leading thinkers in Customer Success, but not being at the center of the stage which developed an authenticity of helping to build a profession, not just a company.Second, Gainsight did not focus much on its product - but rather on the information on how to build, manage and scale a Customer Success team. Over time, as the market evolved and matured - then the opportunity to gradually introduce more about the Gainsight Customer Success Platform as the community grew.Lastly, when Gainsight first started hosting events - they did not measure the ROI by the revenue generated from the annual Pulse event - but by the pipeline and ultimate revenue generated as a by product of the event.Over the past few years - the event landscape has changed and building community is facing new headwinds. First, there is so much noise in the market that it is much harder to break through the noise. The second challenge is the distribution of content, as budgets have decreased and the cost of "paid media" continues to increase. The third challenge is that the rules of social media continue to evolve and change...as an example the recent decision by Twitter to not allow links to content on Substack.AudiencePlus is positioned as the first "owned-media platform for marketers". Anthony defines owned media as using a more rich editorial format of content beyond blog posts to break through the noise. One example is taking a podcast and breaking it into multiple clips, both audio and video to create more audience engagement. The "owned" media component is creating rich, educational, and engaging content that motivates the audience to view a company's content and community as a destination for people who are like-minded and they feel like they belong to something bigger - a community of their peers.If you are a CEO, CRO, or CMO exploring how to leverage content, media, and community to engage your target audience, and establish a thought leadership role for the community of buyers you seek to serve, this conversation with Anthony Kennada, Founder and CEO of AudiencePlus is a must listen!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What a Unicorn Knows is a best selling book by Pablo Dominguez, Operating Partner at Insight Partners on how leading entrepreneurs use lean principles to drive sustainable growthSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Matthew Dixon is the author of The Challenger Sale, The Challenger Customer, and now he adds The JOLT Effect to his list of best-selling books for B2B Sales professionals.During this episode, Matt shares his insights on how B2B Sales professionals can help buyers to avoid the risk of the dreaded "no decision" which represents how 40% - 60% of qualified B2B opportunities end.Matt considers himself a "sales anthropologist" which highlights his deep research-based approach to understanding why buyers buy, and how the best B2B Sales professionals help their buyers become customers.The basis of The JOLT Effect was listening to 2.5 Million sales conversations using conversational intelligence to identify common themes in the buying process. Those predictive signals were segmented into which were most predictive of a "Win" versus a "Closed-Lost No Decision". This was made possible as COVID required the majority of B2B Sales conversations to be virtual, and that made it much easier to capture sales calls in a digital format to apply Machine Learning to those 2.5M sales conversations.The research identified three major reasons that buyers end up in "indecision" which represents 56% of deals that end in "No Decision". Those primary reasons include:Valuation ProblemsLack of InformationOutcome UncertaintyValuation Problems are highlighted by having too many choices and it being hard to determine which solution is best positioned to address the challenges of the current state and have the highest probability of achieving the outcomes that were used as the basis for the purchase decision and investmentLack of Information is the buyer continues to think they need more information before they can make a decision that is most likely to end in success versus failure, where failure is the #1 concern of most buyers. This invokes the fear of "omission bias" which is a powerful human need not to experience blame because of a decision they make. "FOMU" which stands for Fear of Messing Up is a much more powerful emotion that Fear of Missing Out which is often the tactic that B2B Sales professionals use to incent a positive purchase decision.Outcome Uncertainty is when the buyer is concerned that the actual return on investment will be hard to achieve, and they are better served to maintain the "status quo" versus not achieving the ROI they projected to justify the purchase. FOMUOne interesting aspect of "outcome uncertainty", is that sales professionals that effectively "set expectations" that are not overwhelming or hard to believe by the buyer. Using the simple concept of under promise and over deliver, and being able to balance expectations leads to an increased win rate from 20% to 51% when B2B Sales professionals can effectively set expectations that the buyer believes are achievable.Another learning was how to determine the reason for "buyer indecision". JOLT stands for: 1) Judge the reason for indecision; 2) Offer a recommendation on how to move forward; 3) Limit the exploration and Take Risks off the table.87% of sales calls have buyers who exhibit some level of moderate to severe indecision. How to judge the reason for indecision first requires "active listening". Then the technique of "ping and echos" by offering potential reasons for indecision (the fear) to the buyer to uncover potential reasons for a sales cycle resulting in no decision.When it comes to "Offering" a recommendation, the research shows an increase in win rates from 14% to 36% when a B2B Sales professional diagnoses the needs, problems, and/or concerns and then offers a recommendation versus not providing solutions to address the uncovered reasons for purchasing or not purchasing.If you are a B2B Sales professional or lead a company or function that is responsible for converting prospects into customers, this conversation with Matt Dixon, the author of The JOLT effect is a high-value listen!!!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Defining the Ideal Customer Profile (ICP) is a hot topic in almost every early-stage B2B SaaS company. It begins with some assumptions and then is refined over time based on the acquired customer profile that represents those early customers who purchase a company's solution. This evolves to which customer profile cohort has the best customer acquisition metrics such as average annual contract value, win rate, and sales cycle length.Dan Sperring, the founder and CEO Align has a different perspective...the best ideal customer profile cohort is determined by the segment(s) that have the best Net Revenue Retention (NRR) rate. Since NRR measures both customer retention rates in dollars (Gross Dollar Retention) + Expansion ARR in dollars, it is the ultimate compound metric to determine if a customer will buy, stick around, and expand their relationship over time.If you are considering how best to define and/or refine your ideal customer profile cohort(s) - this conversation with Dan is thought-provoking and insightful as to why NRR can best guide which prospects to pursueSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

ChatGPT and Artificial Intelligence (AI) are at the forefront of the majority of strategic discussions across the B2B SaaS and Cloud industry.Paul Roetzer started as a journalist and then leveraged that writing expertise into founding a marketing agency. Due to the launch of Watson by IBM, Paul's curiosity about how AI could impact Marketing started his journey to becoming an industry expert in how B2B companies are and could leverage AI to increase the efficiency and effectiveness of Marketing. In 2016 Paul founded and launched the Marketing AI Institute within his agency, and then spun it off as a separate company in 2019.How has the use of AI by B2B marketers changed over the past couple of years? Paul believes the inflection point started in the spring of 2021. First, Sam Altman - CEO of OpenAI/ChatGPT published the seminal article - Moore's Law for Everything. Then, Genius Makers, a book by Cade Metz, a writer for the New York Times was published.Paul was confused why AI did not take off earlier in 2011 when AI teams at Google, Facebook, and Microsoft were first formed. He concludes that he overestimated how quickly AI would go mainstream and underestimated the impact it was going to have on the industry, the economy, and the world. The public release of ChatGPT was the catalytic moment for AI awareness to become mainstream.Why has AI taken so long to be adopted by industry? Paul discusses hundreds of use cases that have been in place for 5+ years, around strategy and personalization. The challenge was the majority of marketing leaders did not know how to best leverage the power of AI, nor the accessibility which was still difficult to access, leverage, and exploit previous to the public release of ChatGPT.In the Bessemer Venture Partners "State of the Cloud 2023" one of their 5 predictions is that the initial value of AI will accrue to the individual users not to the entire company. In the spring, of 2023 Paul wrote an article entitled " The law of uneven AI distribution". The perspective shared in the article is that until C-Level executives begin to understand the full value of AI they will not lead the adoption across their department. A second point is that access will need to be granted to employees as in many industries and regions of the world access is still limited. Paul's third point is that executives will need to understand the risk, reward, and investment trade-offs required before they will fully support a broad-based roll-out of AI across their companies - especially in regulated industries.The "HOT TAKE" moment in the episode was at minute 12:40 when Paul shared that he believes many B2B SaaS companies will become obsolete quickly, It's hard to know what the "moats" are for many B2B SaaS providers beyond data and distribution. B2B SaaS organizations that have proprietary data to help tune generative, LLM-based models will have an unfair advantage, and a large customer base is best positioned to ride the AI wave and further differentiate and protect themselves from traditional B2B SaaS competitors.A highly defensible moat is that the companies that have the most data to train and tune AI models, such as the 4 Billion+ miles of training data that Tesla has amassed over the last 10 years. Salesforce is a great example of a company with large datasets that could form the foundation for the highly defensible application of AI.Paul believes that a B2B technology company that does not have a roadmap for AI, and resources to build or integrated into their core product will not be VC fundable in the future - if not already. The ability to quickly develop, deploy and refine AI-centric functionality will be table stakes for legacy Saas vendors or early-stage companies will be able to quickly eclipse incumbent vendors UNLESS they have applied AI to their data and distribution assets.How do Marketers being to embrace and utilize AI for their department? First, in a problem-based model, Marketers need to identify those problems/challenges that are most prominent in their department, the benefits of solving those issues, and then assess if there is smarter "AI" technology to address the top challenges in a prioritized, rank order.The second approach is to use a "task-based" approach and identify those activities their marketing team is executing daily, and how can AI increase their efficiency. Paul shared the 21-step process he uses to publish their podcast, how they use AI tools for half of the steps, and reduced time spent per episode from 15 - 20 hours to 3 -5 hours.Paul's closing advice to early career professionals - raise your hand in your organization and take the lead on building or being a leader in an "AI Council" in your company. Simultaneously become a student of AI and specifically how it can be used to increase personal efficiency, and company effectiveness and create your position as a future leader for the company.If you are a B2B Go-to-Market executive, work for a B2B GTM executive, or have B2B GTM executives work for you - listen to the conversation with Paul Roetzer, Founder and CEO at the Marketing AI Institute.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Imagine being a senior product leader at Microsoft for one of the leading "cloud products" in the industry, Azure Data Factory, and deciding to leave the stability, security, and prestige behind to launch your own B2B SaaS company. This is exactly the decision and journey that Anand Subbaraj began five years ago.Anand spent 13 years at Microsoft but was fortunate to be involved with five different product launches (V1) over 13 years, with a primary focus on understanding the market and customer requirements. By being part of the founding team at Azure Data Factory, Anand learned what it took to take on established industry leaders, with a product that had not previously been introduced to the market.Anand's experience with new product introductions at Microsoft, Anand had a personal experience in servicing his refrigerator at home, which served as the catalyst that customer service was ripe for transformation. After having three different service technicians have to make six visits to fix the issue, Anand was sure there had to be a better way to leverage automation to transform field service.As a result, Zuper was launched. What learnings has Anand had starting, growing, and leading his own company? First, Anand gained an understanding that Marketing is about investing to build a brand and market awareness, and is more science than art.Anand also learned a lot about cold calling, and what is required to make the first sales in a newly formed B2B SaaS company. By taking the lead on all initial outreach for Zuper, Anand was able to directly hear from the market on what they wanted and/or needed to consider transforming how they were managing the field service process. Anand also learned that without the "Microsoft" brand, that persistence in cold calling was critical to gaining early traction.Anand executive the "founder-led sales" model from $0 to $1M ARR. By taking this responsibility himself, not only did he have direct access to product requirement input from the market, but he could also hand over a "sales process" that worked to acquire the first $1M ARR. Anand leaned on "Marketing" first to create awareness and demand before hiring his first professional Sale resource.Identifying a gap in the marketplace is a key ingredient to the idea to launch a new company. At Zuper, Anand identified that many companies were viewing field service management automation as an extension of CRM. Second, consumers now expect a seamless experience like Uber, while companies require the ability to configure their processes within an automation platform, not to force their process to adapt to take advantage of the B2B SaaS platform.Understanding and being able to measure the business value delivered to the customer is critical for early-stage B2B SaaS companies. First, the ability to improve efficiency in the business process being automated, second is improving the productivity of the field service workforce, such as spending less time on driving to the next appointment and more time on fixing the customer's issue. In the Zuper example, measuring the "first-time fix rate" of new service tickets is a key benefit, and the Zuper customers see a 30% increase in the first-time fix rate by having the right technician, the right parts, and the right tools.When asked what "SaaS metrics" Anand uses, here is what he shared:Top Lagging Indicators Used:ARR and ARR GrowthCustomer ChurnBurn RateCash runwayTop Leading Indicators Used:Product UsageCustomer Acquisition CostCustomer Lifetime ValueCAC Payback Period (new)If you are a product leader or in a large stable company today, but considering launching your own B2B Saas company, this conversation with Anand Subbaraj is a great listen!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Over the past two months, we have hosted the founders and CEOs of the leading SaaS Spend Management vendors.Sid Sridharan, the founder of Spendflo was formerly an executive in an "electric vehicle" charging infrastructure company and experienced the challenges of controlling SaaS spend in an early-stage, fast growing company. Sid's interaction (not all positive) with his own CFO regarding their SaaS spend inspired Sid to found a company that was purpose-built to address the very challenge his CFO presented Sid.How does Sid define SaaS Spend Management? Sid responded that Payroll is the number one spend in a company, and it has already been automated. Over the last few years, SaaS has become a top 3 spend, and is an area that is still not automated in the majority of companies - and most early-stage companies do not have the resources or time to manage it internally.Another topic we discussed was "How does SaaS Spend Management support and embrace the decentralized nature of SaaS purchases?" Sid first offered a CFOs perspective, which is when SaaS purchasing is decentralized and the associated expense is growing 25% per year, centralized control is required. Moreover, since the average SaaS tool has 9 competitors, the amount of time it takes to truly evaluate all the alternatives is greater than any one company can resource - thus they may be missing some great options for their requirements.Sid shared that they take a holistic approach to SaaS Spend Management starting with the discovery of existing SaaS Tools used, facilitating the purchasing of new SaaS tools, renewing existing SaaS tools, and managing overall SaaS Spend and utilization.One of the primary differences that Spendflo provides is the first-party data across their ecosystem, using a single platform to understand SaaS tool utilization and user sentiment. When we double-clicked on "user sentiment", Sid highlighted that once a customer invests time selecting a SaaS tool, it is hard to measure ROI, which is a key area that Spendflo focuses on, which is especially important in preparing for renewal decisions. By running usage and sentiment data continuously over the term of the agreement, it empowers the leaders to understand how users feel about the tool, including user satisfaction and user sentiment across two variables; 1) How important is the tool to business value and; 2) Would you be upset if this tool was taken awayWhen is the best stage of evolution to introduce a SaaS Spend Management Solution? Sid highlighted 50 - 60 people with the expectation to grow to 100 - 200 people, as the growth in SaaS spend will increase materially during this stage of growth. Sid also highlighted that $250K in SaaS spend is another inflection point to deploy a centralized SaaS Spend Management process.If you are responsible for any SaaS tool purchasing, management, and/or the budget, this conversation with Sid is a great listen!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

State of the Cloud 2023: Top Five Predictions:#1: Efficient GrowthAdopt new solutions to gain control of their Cloud and SaaS spend, including the infrastructure cost to deliver SaaS Solutions. Tools include Cloud FinOps tools, SaaS Spend Solutions, and engineering productivity tools to improve R&D processes.One of the areas of focus is on Cloud Spend as a way to manage the Cost of Goods Sold and thus increase Gross Margin which sets the ceiling for Saas profitability. Public SaaS companies with Gross Margins under 50% have a hard time driving Free Cash Flow of 20% or greater which is critical to enterprise value multiples.Some examples of tools to gain control of Cloud Spend are included in the Bessemer Ventures technical playbook of 40 tactics to drive profitable growth - this playbook can be found on Atlas on the BVP.com website - the report is called the "CEOs tactical guide to drive profitable growth".#2: Climate Software will drive the Green Energy TransitionWith the increase in consumer activism and government regulation, the green energy revolution is here. To support this green economy, cloud software that is tailored made to power the transition to green energy will explode. Examples are software dedicated to solar, infrastructure, sustainable design, and fossil fuel infrastructure transition.#3: Initial value of AI will be to the userThe AI and Large Language Model business ecosystems are evolving quickly. Bessemer believes the ultimate winner is the user to increase individual productivity at work and in their personal lives. AI research is now democratized so end users can have access to and build upon the latest AI capabilities.One example is ChatGPT being released to the general public and acquiring over 100 million users in the first three months - the faster-growing internet site ever!!!Bessemer calls the current AI revolution a B2C2B motion. This highlights the consumer excitement about the benefits of AI, which will in return bring these tools and techniques to the corporate workplace.#4: The application layer is where the most impact from AI will happen firstDue to the democratization of access to AI, the power of AI will be available to any company, that can embed AI without their own AI team. This will make horizontal B2B SaaS companies to provide AI driven workflows and processes without the need for a large internal AI development team.With the number of transactions in many SaaS platforms, the opportunity to accelerate the insights to enhance business process efficiency.#5: AI companies will grow twice as fast as traditional B2B Cloud companiesBessemer predicts the time the best AI companies will require to grow from $100M to $1B will be 50% faster than the historic fastest growers like Canva, Zoom, and Twilio. That is truly impressive as these companies scaled from $100M to $1B in four years or less!If you are a student of the Cloud industry or just SaaS-curious about where the industry is heading - the Bessemer Venture Partners "State of the Cloud 2023" is a great read and this podcast discussing the top five predictions is a must-listen!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.