Metrics that Measure Up

Caleb Avery, Founder and CEO at Tilled shares how B2B SaaS companies can turn credit card payment processing fees from an operating expense into revenue as a Payment Facilitator (PayFac).See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Bill Kantor, the founder, and CEO of Funnelcast is applying the lessons he learned about statistical process controls in the hardware industry to the art and science of measuring and managing the opportunity funnel and then optimizing forecasting for B2B technology companies.The end-to-end Customer Acquisition process is still quite manual today, due to B2B Sales being such a human-centric endeavor. However, with a sufficient amount of opportunity data, the science behind statistical process controls in the manufacturing and consumer-facing industries is now available to B2B revenue leaders.But why are we will still using manual tasks to manage the B2B opportunity funnel? It starts with companies and their leaders not investing the time required to take a more data-centric, holistic view of even the most basic metrics - such as win rate. Yes, the win rate which is NOT a point-in-time measurement, rather it is a curve that includes different win rates along the time continuum being measured. As an example, the win rate on Day 75 is NOT the same as the win rate on Day 120. Moreover, if you simply use total deals won / total deals closed to calculate the win rate it excludes all of those opportunities that are still open and in process.What are the TOP metrics that are most predictive of a B2B company's sales success? Bill suggests there are only 3 sales metrics that matter, which include:Win RateOpportunity Creation RateAverage Contract ValueBut what about the more detailed, nuanced measurements such as "stage by stage" conversion rates which provides additional signals as to whether a deal is at risk of becoming "stale" and thus the probability to win reduces materially? They are critical to increasing the accuracy of forecasting - as those deals that are stalled are highly correlated to sales rep storytelling and the "exception status" of a single deal becoming the "outlier" reason for multiple deals - effectively eliminating the category of outlier to the norm.If you are responsible for managing the new customer acquisition forecast, and/or are responsible for financial performance metrics that are a direct result of win rates, opportunity creation and thus hitting the forecast and the plan - this is a highly instructive episode.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Alok Goel, Founder and CEO of Drivetrain.ai shares how his roles as a product manager at Google and then a Venture Capitalist informed his journey as a B2B SaaS entrepreneur.As a VC, Alok would meet 15 - 20 companies per week, which provides a unique opportunity to identify specific trends across a large number of companies using pattern recognition. One trend Alok identified, was what differentiated those companies that would consistently, quarter over quarter meet and exceed their stated financial goals from those that missed their financial goals? It was the pursuit to answer this question that lead to Alok's founding of Drivetrain.aiThe first question Alok answered was what were his experiences as a product manager at Google that informed his entrepreneurial journey. Google encouraged product managers to determine the best solution for a user without any constraints - which leads to the best solution for the audience. Then, think about how to deliver the solution with the constraints that do exist, both inside the company and in the market.Next, Alok shared the importance for a company to identify the data they have internally to gain insights into future growth efficiency, they should first identify what insights they wished they had about their business and then identify what instrumentation is required to achieve those insights.Alok shared the importance of never being too committed to one "way of thinking" that is not in alignment with the insights they are being provided from the market, from the internal metrics and data that is highlighting change is needed. In today's world, the external reality is changing so quickly, a company must change before the competitive market takes advantage of its resistance to change and evolution.Understanding that the insights you gain today are not going to change your business today - it will take some time. This is why having a continuous process that surfaces insights that can be quickly converted into actions that can be measured on their impact over time - this is why it is so important to understand the leading indicators (signals) and lagging indicators that are inter-dependant and predictive of future outcomes!If you are interested in how to develop a more predictive, holistic process that can capture the most important signals (leading indicators) that can be improved to ensure the ultimate lagging indicators such as Net Revenue Retention, CAC Payback Period and Revenue Growth rates are highly predictive and achieved consistently - this conversation with Alok Goel 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.

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.