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

Dave Kellogg · 49m spoken Harry Stebbings · 15m spoken
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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 →

Harry as informed peer 4.1 Guest teaching 5.7 Guest disagreement 2.5 Harry pushing back 3.2
05100:0015:0030:0045:001:00:000:39–3:22 · Harry as informed peer 2/10 Career Highlights and Navigating Corporate Power Structures 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.3:22–7:17 · Harry as informed peer 5/10 Defining Efficient Growth, Data Maturity, and the Flaws of CAC Payback 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.7:17–13:57 · Harry as informed peer 6/10 The Superiority of CAC Ratio, Operator vs. Investor Metrics, and Metric Cheats 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.13:57–16:40 · Harry as informed peer 3/10 Deconstructing NRR vs. GRR: Definitions, Formulas, and Benchmarks 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%.16:40–25:11 · Harry as informed peer 7/10 The Evolution of Customer Success: Moving from 'Huggers' to Commercial CSMs 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.25:11–31:14 · Harry as informed peer 4/10 Churn vs. Sales Forecasting: The Art of Churn Data and Sales Triangulation 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.31:14–34:26 · Harry as informed peer 4/10 Sales Team Scaling: Hiring in Threes for Controlled Experiments and Managing Reps 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.34:26–36:41 · Harry as informed peer 3/10 Categorizing Sales Reviews: Forecasts, Pipeline Scrubs, and Collaborative Deal Reviews 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.36:41–41:47 · Harry as informed peer 3/10 The Anatomy of a Slip: Symmetrical Slipping and 'Closed Plan' Best Practices 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.41:47–46:41 · Harry as informed peer 3/10 Selling Through Curiosity: Identifying the True Buyer 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.46:41–51:23 · Harry as informed peer 6/10 The Role of Customer References in Negotiation 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.51:23–54:15 · Harry as informed peer 3/10 Replicating Vertical Success: The "People Like Me" Effect 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.54:15–59:48 · Harry as informed peer 4/10 Firing Up Focus: The Pitfalls of a Broad Ideal Customer Profile 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.59:48–1:02:51 · Harry as informed peer 4/10 Technical vs. GTM Founders and the History of CEO Replacements 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.1:02:51–1:05:07 · Harry as informed peer 6/10 The Re-emergence of Founder Transitions and the Sherpa Model 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.1:05:07–1:08:07 · Harry as informed peer 4/10 Navigating AI Sales Tooling and the Future of Sales Productivity 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.1:08:07–1:12:19 · Harry as informed peer 3/10 Quick-Fire Round: Pricing, Hiring Mistakes, and Overfunding 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.0:39–3:22 · Guest teaching 4/10 Career Highlights and Navigating Corporate Power Structures 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.3:22–7:17 · Guest teaching 5/10 Defining Efficient Growth, Data Maturity, and the Flaws of CAC Payback 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.7:17–13:57 · Guest teaching 7/10 The Superiority of CAC Ratio, Operator vs. Investor Metrics, and Metric Cheats 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.13:57–16:40 · Guest teaching 6/10 Deconstructing NRR vs. GRR: Definitions, Formulas, and Benchmarks 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%.16:40–25:11 · Guest teaching 5/10 The Evolution of Customer Success: Moving from 'Huggers' to Commercial CSMs 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.25:11–31:14 · Guest teaching 6/10 Churn vs. Sales Forecasting: The Art of Churn Data and Sales Triangulation 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.31:14–34:26 · Guest teaching 6/10 Sales Team Scaling: Hiring in Threes for Controlled Experiments and Managing Reps 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.34:26–36:41 · Guest teaching 6/10 Categorizing Sales Reviews: Forecasts, Pipeline Scrubs, and Collaborative Deal Reviews 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.36:41–41:47 · Guest teaching 6/10 The Anatomy of a Slip: Symmetrical Slipping and 'Closed Plan' Best Practices 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.41:47–46:41 · Guest teaching 6/10 Selling Through Curiosity: Identifying the True Buyer 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.46:41–51:23 · Guest teaching 5/10 The Role of Customer References in Negotiation 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.51:23–54:15 · Guest teaching 6/10 Replicating Vertical Success: The "People Like Me" Effect 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.54:15–59:48 · Guest teaching 7/10 Firing Up Focus: The Pitfalls of a Broad Ideal Customer Profile 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.59:48–1:02:51 · Guest teaching 6/10 Technical vs. GTM Founders and the History of CEO Replacements 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.1:02:51–1:05:07 · Guest teaching 4/10 The Re-emergence of Founder Transitions and the Sherpa Model 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.1:05:07–1:08:07 · Guest teaching 5/10 Navigating AI Sales Tooling and the Future of Sales Productivity 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.1:08:07–1:12:19 · Guest teaching 6/10 Quick-Fire Round: Pricing, Hiring Mistakes, and Overfunding 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.0:39–3:22 · Guest disagreement 2/10 Career Highlights and Navigating Corporate Power Structures 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.3:22–7:17 · Guest disagreement 3/10 Defining Efficient Growth, Data Maturity, and the Flaws of CAC Payback 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.7:17–13:57 · Guest disagreement 4/10 The Superiority of CAC Ratio, Operator vs. Investor Metrics, and Metric Cheats 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.13:57–16:40 · Guest disagreement 1/10 Deconstructing NRR vs. GRR: Definitions, Formulas, and Benchmarks 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%.16:40–25:11 · Guest disagreement 3/10 The Evolution of Customer Success: Moving from 'Huggers' to Commercial CSMs 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.25:11–31:14 · Guest disagreement 4/10 Churn vs. Sales Forecasting: The Art of Churn Data and Sales Triangulation 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.31:14–34:26 · Guest disagreement 4/10 Sales Team Scaling: Hiring in Threes for Controlled Experiments and Managing Reps 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.34:26–36:41 · Guest disagreement 3/10 Categorizing Sales Reviews: Forecasts, Pipeline Scrubs, and Collaborative Deal Reviews 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.36:41–41:47 · Guest disagreement 2/10 The Anatomy of a Slip: Symmetrical Slipping and 'Closed Plan' Best Practices 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.41:47–46:41 · Guest disagreement 2/10 Selling Through Curiosity: Identifying the True Buyer 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.46:41–51:23 · Guest disagreement 3/10 The Role of Customer References in Negotiation 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.51:23–54:15 · Guest disagreement 1/10 Replicating Vertical Success: The "People Like Me" Effect 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.54:15–59:48 · Guest disagreement 2/10 Firing Up Focus: The Pitfalls of a Broad Ideal Customer Profile 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.59:48–1:02:51 · Guest disagreement 2/10 Technical vs. GTM Founders and the History of CEO Replacements 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.1:02:51–1:05:07 · Guest disagreement 1/10 The Re-emergence of Founder Transitions and the Sherpa Model 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.1:05:07–1:08:07 · Guest disagreement 2/10 Navigating AI Sales Tooling and the Future of Sales Productivity 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.1:08:07–1:12:19 · Guest disagreement 3/10 Quick-Fire Round: Pricing, Hiring Mistakes, and Overfunding 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.0:39–3:22 · Harry pushing back 2/10 Career Highlights and Navigating Corporate Power Structures 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.3:22–7:17 · Harry pushing back 6/10 Defining Efficient Growth, Data Maturity, and the Flaws of CAC Payback 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.7:17–13:57 · Harry pushing back 5/10 The Superiority of CAC Ratio, Operator vs. Investor Metrics, and Metric Cheats 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.13:57–16:40 · Harry pushing back 1/10 Deconstructing NRR vs. GRR: Definitions, Formulas, and Benchmarks 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%.16:40–25:11 · Harry pushing back 7/10 The Evolution of Customer Success: Moving from 'Huggers' to Commercial CSMs 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.25:11–31:14 · Harry pushing back 5/10 Churn vs. Sales Forecasting: The Art of Churn Data and Sales Triangulation 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.31:14–34:26 · Harry pushing back 6/10 Sales Team Scaling: Hiring in Threes for Controlled Experiments and Managing Reps 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.34:26–36:41 · Harry pushing back 2/10 Categorizing Sales Reviews: Forecasts, Pipeline Scrubs, and Collaborative Deal Reviews 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.36:41–41:47 · Harry pushing back 2/10 The Anatomy of a Slip: Symmetrical Slipping and 'Closed Plan' Best Practices 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.41:47–46:41 · Harry pushing back 3/10 Selling Through Curiosity: Identifying the True Buyer 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.46:41–51:23 · Harry pushing back 4/10 The Role of Customer References in Negotiation 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.51:23–54:15 · Harry pushing back 1/10 Replicating Vertical Success: The "People Like Me" Effect 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.54:15–59:48 · Harry pushing back 2/10 Firing Up Focus: The Pitfalls of a Broad Ideal Customer Profile 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.59:48–1:02:51 · Harry pushing back 2/10 Technical vs. GTM Founders and the History of CEO Replacements 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.1:02:51–1:05:07 · Harry pushing back 2/10 The Re-emergence of Founder Transitions and the Sherpa Model 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.1:05:07–1:08:07 · Harry pushing back 2/10 Navigating AI Sales Tooling and the Future of Sales Productivity 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.1:08:07–1:12:19 · Harry pushing back 2/10 Quick-Fire Round: Pricing, Hiring Mistakes, and Overfunding 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.

speaking balance: gold is Harry, purple is the guest (3 minute bins)

0:00 · Harry 38.9% · guest 61.1%0:00 · Harry 38.9% · guest 61.1%3:00 · Harry 31.6% · guest 68.4%3:00 · Harry 31.6% · guest 68.4%6:00 · Harry 24.8% · guest 75.2%6:00 · Harry 24.8% · guest 75.2%9:00 · Harry 24.1% · guest 75.9%9:00 · Harry 24.1% · guest 75.9%12:00 · Harry 22.5% · guest 77.5%12:00 · Harry 22.5% · guest 77.5%15:00 · Harry 27.8% · guest 72.2%15:00 · Harry 27.8% · guest 72.2%18:00 · Harry 18.4% · guest 81.6%18:00 · Harry 18.4% · guest 81.6%21:00 · Harry 14.9% · guest 85.1%21:00 · Harry 14.9% · guest 85.1%24:00 · Harry 17.1% · guest 82.9%24:00 · Harry 17.1% · guest 82.9%27:00 · Harry 20% · guest 80%27:00 · Harry 20% · guest 80%30:00 · Harry 22.2% · guest 77.8%30:00 · Harry 22.2% · guest 77.8%33:00 · Harry 17.8% · guest 82.2%33:00 · Harry 17.8% · guest 82.2%36:00 · Harry 14.2% · guest 85.8%36:00 · Harry 14.2% · guest 85.8%39:00 · Harry 35.2% · guest 64.8%39:00 · Harry 35.2% · guest 64.8%42:00 · Harry 29.5% · guest 70.5%42:00 · Harry 29.5% · guest 70.5%45:00 · Harry 21.6% · guest 78.4%45:00 · Harry 21.6% · guest 78.4%48:00 · Harry 18.8% · guest 81.2%48:00 · Harry 18.8% · guest 81.2%51:00 · Harry 19.3% · guest 80.7%51:00 · Harry 19.3% · guest 80.7%54:00 · Harry 33.6% · guest 66.4%54:00 · Harry 33.6% · guest 66.4%57:00 · Harry 15.4% · guest 84.6%57:00 · Harry 15.4% · guest 84.6%1:00:00 · Harry 13.7% · guest 86.3%1:00:00 · Harry 13.7% · guest 86.3%1:03:00 · Harry 31% · guest 69%1:03:00 · Harry 31% · guest 69%1:06:00 · Harry 14.6% · guest 85.4%1:06:00 · Harry 14.6% · guest 85.4%1:09:00 · Harry 30.7% · guest 69.3%1:09:00 · Harry 30.7% · guest 69.3%1:12:00 · Harry 69.5% · guest 30.5%1:12:00 · Harry 69.5% · guest 30.5%
Sharpest disagreement ▶ 29:25 Rejecting Stretch Forecasts as Bad Management

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 Alignment

Harry 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 Perspectives

Dave 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 LTV

Harry 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
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
Career Highlights and Navigating Corporate Power Structures 2422 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 5536 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 6745 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 3611 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 7537 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 4645 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 4646 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 3632 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 3622 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 3623 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 6534 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 3611 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 4722 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 4622 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 6412 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 4522 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 3632 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.

Statements from this episode (40)

Insight
Dave Kellogg: Analyzing sector performance is low-hanging fruit for efficient growth
“The low-hanging fruit on efficient growth is a dispassionate, calm analysis of what sectors do we sell to.”
Dave Kellogg Jan 31, 2024 ▶ 4:02
Insight
Kellogg: Marketers focus on correctness while salespeople navigate room politics
“Now, I think the difference between a salesperson and a marketing person is I tended to be more theoretical. What is correct? What is right? Whereas a seller is reading the room very closely. Who cares about what? Who has what interests?”
Dave Kellogg Jan 31, 2024 ▶ 3:00
Insight
Kellogg: Ideal customer profile evolves from aspiration to regression
“An ICP, ideal customer profile. ICP starts out as an aspiration, and over time it becomes a regression, right?”
Dave Kellogg Jan 31, 2024 ▶ 4:58
Assertion Not checkable as stated
Kellogg: VCs stop calling SaaS startups with CAC payback exceeding 24-36 months
“I do think somewhere around 24 to 36 months people stop calling you back, so you have a different problem. It doesn't matter how good your story is if you don't get the meaning.”
Dave Kellogg Jan 31, 2024 ▶ 6:54
Insight
Kellogg: Good CAC ratio benchmark is 1.5 for enterprise, 1.0 for SMB
“I'd say a 1.5 or less is in enterprise. I mean, here we are back to your question. The bigger the deals, the more permission you have. So an enterprise, I might go one five. In SMB, I might go one O.”
Dave Kellogg Jan 31, 2024 ▶ 9:34
Insight
Kellogg: SaaS operators should calculate CAC ratio with new ARR, not net new ARR
“As an operator, I actually just do it on new ARR. My first order CAC is just, it's not net new, because net new introduced churn. You just made my metric more complicated, right? You made it easier to cheat. You took away some of its meaning.”
Dave Kellogg Jan 31, 2024 ▶ 10:23
Insight
Kellogg: Investors need compound metrics for screening; operators need atomic metrics for fixing
“If I were screening companies I would, I tend to want to use compound metrics. The more I'm trying to fix broken things, the more I want atomic metrics.”
Dave Kellogg Jan 31, 2024 ▶ 12:19
Opinion
Kellogg: Startups blaming rising CAC on 'low-hanging fruit' underestimate market size
“I think most startups, when they make that argument to me, I think they're vastly underestimating the size of their market. That if you have a really, really big market, That, that you haven't picked all the low hanging fruit.”
Dave Kellogg Jan 31, 2024 ▶ 13:25
Opinion
Kellogg: SaaS NRR dropped to 105%, driven mainly by increased churn
“And by the way, if you asked, like, the most recent study, I think, said one oh five. The reason I said one oh eight is I just can't make my mouth say one oh five. But I think it may have come down from one 20 to one oh five, to be honest, and I think it's thr…”
Dave Kellogg Jan 31, 2024 ▶ 16:22
Insight
Kellogg: Pitched against competitor hunters, SaaS customer success farmers always lose
“The single biggest sin in SAS is putting your farmer against someone else's hunter, right? Cause they will lose.”
Dave Kellogg Jan 31, 2024 ▶ 23:41
Insight
Dave Kellogg: Churn forecasting is easier than new sales forecasting
“Churn forecasting to me is actually easier than new sales forecasting.”
Dave Kellogg Jan 31, 2024 ▶ 25:31
Insight
Kellogg: Leaders should be unsympathetic to CS VPs missing churn forecasts
“So, so I just think CS for it, I am, if a VP of sales misses their forecast, I'm somewhat understanding. To me, it's I'm not very sympathetic to a VP of CS that misses their forecast, because how is it that you didn't know?”
Dave Kellogg Jan 31, 2024 ▶ 26:36
Insight
Kellogg: A good sales forecast gently upslopes to actual sales, not quota
“And a good forecast looks like this, gently upsloping to the actual number you sell. Notice I've never talked about quota. Because forecast is not about quota.”
Dave Kellogg Jan 31, 2024 ▶ 28:45
Insight
Kellogg: Pressuring reps into higher commits ruins sales forecasting accuracy
“Some sales managers use the forecast as a club to kind of push the reps around. Like if I could just in a moment of week is get you commit to one 20, then I can hold it against you for the rest of the quarter. First, I don't think that's great sales management…”
Dave Kellogg Jan 31, 2024 ▶ 30:07
Insight
Dave Kellogg: Startups should hire sales reps in groups of three
“So I like hiring three at a time but not for the Hunger Games effect, for the controlled experiment effect.”
Dave Kellogg Jan 31, 2024 ▶ 31:34
Insight
Dave Kellogg: Evaluating enterprise sales reps takes six to twelve months
“I would say somewhere between six and 12 months in enterprise.”
Dave Kellogg Jan 31, 2024 ▶ 32:37
Insight
Dave Kellogg: Keeping non-performing sales reps is harder than firing them
“The hardest case is not firing somebody who's not selling. That's easy. The hardest case is keeping somebody who's not selling.”
Dave Kellogg Jan 31, 2024 ▶ 33:30
Insight
Kellogg: Sales reviews must be split into three distinct, specialized calls
“In my world, there's three different types of calls. Let me just define them. I think the There's a forecast call, there's a pipeline scrub, and there's a deal review. Purpose of forecast call is to come up with a forecast. Should be all numbers. One of my sid…”
Dave Kellogg Jan 31, 2024 ▶ 34:51
Opinion
Kellogg: CEOs are negligent if not deeply involved in material quarterly deals
“As a CEO founder, I think you just need to look at the materiality of the deal to the quarter. And like, are you What's the word? But negligence in your duties. Like at some level, if the deal is material of the quarter, you better be in it deep.”
Dave Kellogg Jan 31, 2024 ▶ 36:28
Insight
Kellogg: Sales reps' sole job is forecasting and closing on time
“You don't make the software. So your only job is to sell the software. You're not a technical resource. You don't help customers deploy. So this is kind of the, you had one job argument, right? Like you had one job. And it's like, let's just remember, that's w…”
Dave Kellogg Jan 31, 2024 ▶ 37:27
Insight
Kellogg: Sales teams must update close plans whenever deal excuses arise
“By the way, everyone should have a closed plan, and every time you hear one of those excuses, it should go on in the closed plan.”
Dave Kellogg Jan 31, 2024 ▶ 39:00
Insight
Kellogg: Deal slips are only excusable due to unforeseen acts of God
“The company got acquired on the last day of the quarter, all purchasing got frozen. Okay! Right? That we couldn't have seen coming, right? But it needs to literally be that level of act of God, right, before It's before it's an excusable reason for a slip.”
Dave Kellogg Jan 31, 2024 ▶ 40:45
Insight
Dave Kellogg: Selling through curiosity works better than trying to act smart
“Selling through curiosity is just amazing, because most salespeople are, in some ways, they're too busy trying to prove how smart they are, be tough and confident, and it's just so humble a place to come from”
Dave Kellogg Jan 31, 2024 ▶ 42:38
Insight
Kellogg: Enterprise sales teams must draw a firm line on discounts
“There's a great metaphor, Harry, which is when do you stop squeezing a wet rag? When the water stops coming out, right? So as long as there's water coming out, I'm going to keep squeezing, and then even then, when the water stops coming out, what do you do? On…”
Dave Kellogg Jan 31, 2024 ▶ 46:15
Insight
Dave Kellogg: Using customer references as sales negotiating chips is flawed
“I don't love it as a negotiating chip because if I'm doing right by your business and if I'm delivering value and if we have a good relationship, you should do it anyway. And if you're only doing it because of a gun to your head, because you promised you'd do …”
Dave Kellogg Jan 31, 2024 ▶ 47:03
Assertion Not checkable as stated
Kellogg: Outbound sales worked significantly better four years ago than today
“I think Outbound actually worked better four years ago than it does today, because I think everyone's doing it, and people are getting flooded with it, and they don't like getting called on their cell phone, they're not answering their regular phone, and you c…”
Dave Kellogg Jan 31, 2024 ▶ 49:35
Insight
Kellogg: Outbound sales strategy fails on low ACV $5k productivity products
“If you're selling a 5000 dollar a year system to anybody, As a generic productivity tool, I have a lot more trouble getting excited about outdoor.”
Dave Kellogg Jan 31, 2024 ▶ 51:14
Insight
Kellogg: Buyers purchase software when they see similar peers using it
“I mean, I can summarize all of Jeffrey Moore in one sentence, which is people buy when they think people like them use your solution, period.”
Dave Kellogg Jan 31, 2024 ▶ 51:53
Insight
Kellogg: Vertical sales strategies succeed despite higher implementation costs
“Look, vertical strategies work, because the people like me effect, they're inherently limited, and they're a little bit high cost, because you now have to learn a lot about all your customers in that industry”
Dave Kellogg Jan 31, 2024 ▶ 52:45
Insight
Kellogg: Expanding across verticals or use cases is high-friction for startups
“The other thing, so I imagine this all as a matrix of vertical versus use case, and every time you're hopping a cell, it's danger, right? Like you know how to sell the custom publishing use case to publishers. Can I sell it to airlines? First, the first one is…”
Dave Kellogg Jan 31, 2024 ▶ 59:18
Insight
Kellogg: Aspiring founders should choose product management over engineering
“If I was advising a young person where to go, if you wanted to found a company in two or three years, I'd say product, not engineering.”
Dave Kellogg Jan 31, 2024 ▶ 1:01:22
Prediction Open · timeframe Jan 2029
Kellogg: Founder replacements will increase and favor GTM executives
“If and when you replace a founder, which was extremely unpopular for the last five years, but I think will get more popular going forward, you will tend to replace them with a GTM person.”
Dave Kellogg Jan 31, 2024 ▶ 1:02:02
Assertion Not checkable as stated
Kellogg: Andreessen Horowitz paused Silicon Valley founder replacements for over a decade
“Jason Horowitz, in my opinion, Put that trend on hold for a decade or more, right?”
Dave Kellogg Jan 31, 2024 ▶ 1:02:24
Prediction Held up
Dave Kellogg: AI sales tools market will consolidate within 18 months
“So if I were a founder of one of these companies, I'd be very aggressive right now to get myself known and established in the market, because this market will organize, right? We're in the chaos phase of the market, and so from the vendor side, this will organ…”
Dave Kellogg Jan 31, 2024 ▶ 1:05:32
Prediction Not checkable as stated
Dave Kellogg: AI sales tools will reduce sales support headcount by 30%
“Well, you know, battery came up with a famous slide well now famous slide, but they basically said, I'm going to get the, I think to support 30 sellers, they argued that today it takes a 110 personal organization and that tomorrow it'll take 75. So they're say…”
Dave Kellogg Jan 31, 2024 ▶ 1:06:51
Assertion Partly supported
Kellogg: Subscription SaaS Companies Were Hit Harder Recently But Still Grow Faster
“The great paradox right now is that people who are in subscription pricing generally have been hit harder than those who are not, but they're nevertheless still growing faster.”
Dave Kellogg Jan 31, 2024 ▶ 1:09:13
Insight
Kellogg: Expanding into Enterprise Fails When Founders Ignore Enterprise Requirements
“They think that the product will work in enterprise without understanding the requirements.”
Dave Kellogg Jan 31, 2024 ▶ 1:09:29
Insight
Kellogg: Hiring Sales VPs Based on Pedigree Often Rewards Luck Over Skill
“Hiring a VP on pedigree value who turns out just to have been in the right place at the right time.”
Dave Kellogg Jan 31, 2024 ▶ 1:09:51
Insight
Kellogg: Asking 'Why' Questions Reveals Whether Sales VPs Drove Past Success
“I think if you ask why questions about how decisions got made, you tend to find out if they were making them.”
Dave Kellogg Jan 31, 2024 ▶ 1:10:44
Opinion
Kellogg: Stuffing Startups Full of Cash Encourages Unhealthy Wasteful Spending
“I honestly don't believe that floggrowing startups, as they say, stuffing them full of cash is a healthy behavior. Some are actually good. I know a few that seem good at raising money and not spending it and saving it to grow later, right? But most people, whe…”
Dave Kellogg Jan 31, 2024 ▶ 1:11:36

Shorts cut from this episode

▶ The 3 types of sales calls ☎️ · 20VC with Harry Stebbings (@34:50) ▶ Weirdest sales comparison story? 👀✈️📚 · 20VC with Harry St (@54:56) ▶ Sales masterclass with #DaveKellogg is now on #20VC · 20VC w (@0:00)
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