Jan 31, 2024 · 1h 12m · news
Dave Kellogg: How to Forecast in 2024 & Why CaC Payback is Flawed and CAC Ratio is Better | E1110 · 20VC with Harry Stebbings
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of 20VC, host Harry Stebbings interviews prominent SaaS executive and strategic advisor Dave Kellogg to dissect the operational realities of modern software companies, providing actionable frameworks on metrics, sales forecasting, customer success, and leadership transitions.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 23.4% of the talking time here. How this is scored →
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Dave forcefully shuts down Harry's suggestion of using sales forecasts as motivational stretch targets, declaring that coercing higher commitments produces useless numbers and represents bad management.
Hardest push from Harry ▶ 21:15 Challenging Commercial CSM AlignmentHarry directly rejects Dave's framing of customer success managers as revenue-focused sellers, arguing that introducing explicit sales quotas destroys the trusted advisor dynamic.
Biggest teaching moment ▶ 10:05 Operator vs. Investor Metric PerspectivesDave explicitly calls out Harry's investor bias when Harry substitutes Net New ARR into the CAC ratio, detailing why operators require simple, atomic metrics to isolate sales efficiency.
Harry holds his own ▶ 6:13 Countering CAC Payback Limits with LTVHarry uses unit economic theory regarding long LTV horizons to challenge Dave's hard rule on CAC payback periods, forcing Dave to admit Harry beat him to the counterargument.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Career Highlights and Navigating Corporate Power Structures | 2 | 4 | 2 | 2 | Harry welcomes Dave back and asks about his career highlights and lessons learned around corporate power structures. Dave reflects on his time at Business Objects and how failing to understand corporate power got him into trouble, while Harry agrees on direct communication styles. | |
| Defining Efficient Growth, Data Maturity, and the Flaws of CAC Payback | 5 | 5 | 3 | 6 | Harry challenges Dave's strict limit on CAC payback periods by asking if long payback periods matter when customer LTV is 8+ years. Dave acknowledges Harry's point, noting Harry beat him to the argument while clarifying VC cutoff realities. | |
| The Superiority of CAC Ratio, Operator vs. Investor Metrics, and Metric Cheats | 6 | 7 | 4 | 5 | Dave calls out Harry for adopting a VC perspective when Harry substitutes Net New ARR into the CAC ratio formula. Dave explains why operators prefer atomic metrics like New ARR over compound VC metrics, though Harry defends evaluating overall business trajectory. | |
| Deconstructing NRR vs. GRR: Definitions, Formulas, and Benchmarks | 3 | 6 | 1 | 1 | Dave breaks down the exact mathematical formulas for Net Retention Rate (NRR) versus Gross Retention Rate (GRR). He provides updated post-downturn benchmarks, adjusting expectations down from 120% to around 105%-108%. | |
| The Evolution of Customer Success: Moving from 'Huggers' to Commercial CSMs | 7 | 5 | 3 | 7 | Harry cites Henry Schuck and Snowflake CRO Chris Degman to question whether CS teams should even exist. When Dave argues CSMs should act as commercial sellers, Harry pushes back that upfront commercial framing creates transactionalism rather than a trusted relationship. | |
| Churn vs. Sales Forecasting: The Art of Churn Data and Sales Triangulation | 4 | 6 | 4 | 5 | Dave argues churn forecasting is relatively straightforward using product usage data, whereas sales forecasting requires triangulation. When Harry suggests sales managers use stretch forecasts to push reps, Dave strongly rejects this as bad forecasting and poor management. | |
| Sales Team Scaling: Hiring in Threes for Controlled Experiments and Managing Reps | 4 | 6 | 4 | 6 | Harry pushes back on Dave's 6-12 month evaluation timeline for enterprise reps, arguing a manager can spot performance within a month from call notes and pipeline. Dave reframes the debate, explaining that the hardest decision is retaining non-selling reps who are executing correctly in difficult verticals. | |
| Categorizing Sales Reviews: Forecasts, Pipeline Scrubs, and Collaborative Deal Reviews | 3 | 6 | 3 | 2 | Dave corrects loose sales terminology by categorizing sales calls into three distinct types: forecast calls, pipeline scrubs, and collaborative deal reviews. Harry clarifies that he specifically means deal reviews and CEO involvement on material deals. | |
| The Anatomy of a Slip: Symmetrical Slipping and 'Closed Plan' Best Practices | 3 | 6 | 2 | 2 | Dave adopts a strict stance on sales slips, arguing reps have 'one job' and introducing the concept of a symmetrical slip evaluation and rigorous close plans. Harry is impressed by the methodology and asks Dave to share a closed plan template with the audience. | |
| Selling Through Curiosity: Identifying the True Buyer | 3 | 6 | 2 | 3 | Dave outlines Barry Rhein's 'Selling Through Curiosity' methodology to uncover true buyers, and walks through sequential negotiation tactics to counter aggressive discounting using his wet rag metaphor. | |
| The Role of Customer References in Negotiation | 6 | 5 | 3 | 4 | Harry offers a VC perspective on why outbound response rates have fallen, attributing it to the proliferation of AI sales tools. Dave agrees, describing automated outbound outreach as an arms race where buyers quickly become numb. | |
| Replicating Vertical Success: The "People Like Me" Effect | 3 | 6 | 1 | 1 | Dave summarizes Geoffrey Moore's core principle into a single sentence: people buy when they believe people like them use the solution. He explains how sales reps can demonstrate vertical alignment. | |
| Firing Up Focus: The Pitfalls of a Broad Ideal Customer Profile | 4 | 7 | 2 | 2 | Dave illustrates horizontal product marketing using a JetBlue vs. McGraw-Hill documentation analogy. He then warns against prematurely broadening an Ideal Customer Profile (ICP), recounting how Versant's IPO value was ruined when management abandoned vertical focus. | |
| Technical vs. GTM Founders and the History of CEO Replacements | 4 | 6 | 2 | 2 | Dave explains his specialty in helping technical PhD founders master go-to-market concepts. He traces Silicon Valley history from routinely replacing founders with GTM CEOs to Andreessen Horowitz shifting the paradigm toward founder supremacy. | |
| The Re-emergence of Founder Transitions and the Sherpa Model | 6 | 4 | 1 | 2 | Harry highlights Dev Ittycheria's success at MongoDB as a prime example of an executive CEO scaling a business alongside technical founders. Dave agrees, describing his own role at MarkLogic as a 'Sherpa' bringing technical founders to the summit. | |
| Navigating AI Sales Tooling and the Future of Sales Productivity | 4 | 5 | 2 | 2 | Harry cites Battery Ventures research showing AI sales tooling could reduce sales org staffing requirements from 110 to 75 people for the same quota. Dave agrees that AI will eliminate sales drudgery while advising founders to experiment aggressively. | |
| Quick-Fire Round: Pricing, Hiring Mistakes, and Overfunding | 3 | 6 | 3 | 2 | In the quick-fire round, Dave offers sharp takes, calling subscription pricing a 'religion' pushed by VCs that creates hidden downside risks during market downturns, and criticizes overfunding startups. |