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May 3, 2018 · 19m · top-founders

1013 Guess How This Data Tool Will Break $100m In 2018

Frank Bien · 10m spoken Nathan Latka · 7m spoken
0:00 / 0:00

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In this episode of The Top Entrepreneurs, host Nathan Latka interviews Looker CEO Frank Bien to dissect the enterprise data platform's rapid expansion, capital strategy, and path toward crossing $100 million in ARR. Bien details Looker's SaaS unit economics, go-to-market motions, -25% net negative churn rate, and disciplined approach to building a scalable enterprise software organization.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 42.5% of the talking time here. How this is scored →

Nathan as informed peer 5.0 Guest teaching 2.0 Guest disagreement 1.3 Nathan pushing back 2.7
05100:0010:001:25–5:41 · Nathan as informed peer 5/10 Looker's Product Mission and SaaS Business Model Nathan probes Looker's business model and applies basic SaaS unit economics to triangulate Looker's ARR between $36 million and $100 million. Frank is transparent and cooperative about contract values and team scale.5:41–8:05 · Nathan as informed peer 5/10 Go-to-Market Strategy and Sales Payback Periods When Frank initially gives a high-level architectural answer about customer need, Nathan pushes back sharply to ask for the literal acquisition mechanism. Nathan also digs into CAC payback periods, framing standard benchmark thresholds.8:05–10:10 · Nathan as informed peer 4/10 Customer Onboarding and Product Adoption Metrics Nathan inquires about early customer activation signals in the first seven days. Frank explains that demonstrating cohort performance on core business metrics drives long-term customer retention better than superficial analytics experiments.10:10–12:41 · Nathan as informed peer 6/10 Negative Churn Dynamics and Enterprise Account Expansion Nathan demonstrates deep SaaS literacy by explicitly translating Looker's -25% net churn into gross loss versus expansion math. He continues pressing Frank on whether revenue expansion is driven by seat counts or usage metrics.12:43–16:53 · Nathan as informed peer 7/10 Sponsor Spotlight: Website Analytics with Hotjar Following an ad read, Nathan challenges the validity of standard LTV/CAC metrics at scale and asks for the Magic Number formula, which Frank admits he cannot recite offhand. Nathan then shares ARR efficiency benchmarks from other $50M+ companies while Frank keeps exact ratios private.16:54–19:23 · Nathan as informed peer 3/10 The Famous Five Rapid-Fire Questions The conversation wraps up with the standard Famous Five questions and lighthearted banter about Frank's reading habits and age. Nathan finishes with a concise recap monologue synthesizing Looker's metrics.1:25–5:41 · Guest teaching 2/10 Looker's Product Mission and SaaS Business Model Nathan probes Looker's business model and applies basic SaaS unit economics to triangulate Looker's ARR between $36 million and $100 million. Frank is transparent and cooperative about contract values and team scale.5:41–8:05 · Guest teaching 2/10 Go-to-Market Strategy and Sales Payback Periods When Frank initially gives a high-level architectural answer about customer need, Nathan pushes back sharply to ask for the literal acquisition mechanism. Nathan also digs into CAC payback periods, framing standard benchmark thresholds.8:05–10:10 · Guest teaching 3/10 Customer Onboarding and Product Adoption Metrics Nathan inquires about early customer activation signals in the first seven days. Frank explains that demonstrating cohort performance on core business metrics drives long-term customer retention better than superficial analytics experiments.10:10–12:41 · Guest teaching 2/10 Negative Churn Dynamics and Enterprise Account Expansion Nathan demonstrates deep SaaS literacy by explicitly translating Looker's -25% net churn into gross loss versus expansion math. He continues pressing Frank on whether revenue expansion is driven by seat counts or usage metrics.12:43–16:53 · Guest teaching 2/10 Sponsor Spotlight: Website Analytics with Hotjar Following an ad read, Nathan challenges the validity of standard LTV/CAC metrics at scale and asks for the Magic Number formula, which Frank admits he cannot recite offhand. Nathan then shares ARR efficiency benchmarks from other $50M+ companies while Frank keeps exact ratios private.16:54–19:23 · Guest teaching 1/10 The Famous Five Rapid-Fire Questions The conversation wraps up with the standard Famous Five questions and lighthearted banter about Frank's reading habits and age. Nathan finishes with a concise recap monologue synthesizing Looker's metrics.1:25–5:41 · Guest disagreement 1/10 Looker's Product Mission and SaaS Business Model Nathan probes Looker's business model and applies basic SaaS unit economics to triangulate Looker's ARR between $36 million and $100 million. Frank is transparent and cooperative about contract values and team scale.5:41–8:05 · Guest disagreement 2/10 Go-to-Market Strategy and Sales Payback Periods When Frank initially gives a high-level architectural answer about customer need, Nathan pushes back sharply to ask for the literal acquisition mechanism. Nathan also digs into CAC payback periods, framing standard benchmark thresholds.8:05–10:10 · Guest disagreement 1/10 Customer Onboarding and Product Adoption Metrics Nathan inquires about early customer activation signals in the first seven days. Frank explains that demonstrating cohort performance on core business metrics drives long-term customer retention better than superficial analytics experiments.10:10–12:41 · Guest disagreement 1/10 Negative Churn Dynamics and Enterprise Account Expansion Nathan demonstrates deep SaaS literacy by explicitly translating Looker's -25% net churn into gross loss versus expansion math. He continues pressing Frank on whether revenue expansion is driven by seat counts or usage metrics.12:43–16:53 · Guest disagreement 2/10 Sponsor Spotlight: Website Analytics with Hotjar Following an ad read, Nathan challenges the validity of standard LTV/CAC metrics at scale and asks for the Magic Number formula, which Frank admits he cannot recite offhand. Nathan then shares ARR efficiency benchmarks from other $50M+ companies while Frank keeps exact ratios private.16:54–19:23 · Guest disagreement 1/10 The Famous Five Rapid-Fire Questions The conversation wraps up with the standard Famous Five questions and lighthearted banter about Frank's reading habits and age. Nathan finishes with a concise recap monologue synthesizing Looker's metrics.1:25–5:41 · Nathan pushing back 2/10 Looker's Product Mission and SaaS Business Model Nathan probes Looker's business model and applies basic SaaS unit economics to triangulate Looker's ARR between $36 million and $100 million. Frank is transparent and cooperative about contract values and team scale.5:41–8:05 · Nathan pushing back 5/10 Go-to-Market Strategy and Sales Payback Periods When Frank initially gives a high-level architectural answer about customer need, Nathan pushes back sharply to ask for the literal acquisition mechanism. Nathan also digs into CAC payback periods, framing standard benchmark thresholds.8:05–10:10 · Nathan pushing back 1/10 Customer Onboarding and Product Adoption Metrics Nathan inquires about early customer activation signals in the first seven days. Frank explains that demonstrating cohort performance on core business metrics drives long-term customer retention better than superficial analytics experiments.10:10–12:41 · Nathan pushing back 3/10 Negative Churn Dynamics and Enterprise Account Expansion Nathan demonstrates deep SaaS literacy by explicitly translating Looker's -25% net churn into gross loss versus expansion math. He continues pressing Frank on whether revenue expansion is driven by seat counts or usage metrics.12:43–16:53 · Nathan pushing back 4/10 Sponsor Spotlight: Website Analytics with Hotjar Following an ad read, Nathan challenges the validity of standard LTV/CAC metrics at scale and asks for the Magic Number formula, which Frank admits he cannot recite offhand. Nathan then shares ARR efficiency benchmarks from other $50M+ companies while Frank keeps exact ratios private.16:54–19:23 · Nathan pushing back 1/10 The Famous Five Rapid-Fire Questions The conversation wraps up with the standard Famous Five questions and lighthearted banter about Frank's reading habits and age. Nathan finishes with a concise recap monologue synthesizing Looker's metrics.

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

0:00 · Nathan 54.4% · guest 45.6%0:00 · Nathan 54.4% · guest 45.6%3:00 · Nathan 36.5% · guest 63.5%3:00 · Nathan 36.5% · guest 63.5%6:00 · Nathan 22.3% · guest 77.7%6:00 · Nathan 22.3% · guest 77.7%9:00 · Nathan 29.8% · guest 70.2%9:00 · Nathan 29.8% · guest 70.2%12:00 · Nathan 58.8% · guest 41.2%12:00 · Nathan 58.8% · guest 41.2%15:00 · Nathan 39.6% · guest 60.4%15:00 · Nathan 39.6% · guest 60.4%18:00 · Nathan 72.7% · guest 27.3%18:00 · Nathan 72.7% · guest 27.3%
Sharpest disagreement ▶ 15:13 Frank declines to disclose exact CAC efficiency metrics

Frank resists Nathan's attempt to pin down exact CAC-to-ARR dollar efficiency, keeping his response high-level regarding capital efficiency.

 Hardest push from Nathan ▶ 6:30 Nathan redirects Frank from product architecture to sales channels

Nathan interrupts Frank's product narrative to demand the literal customer acquisition channel and sales motion.

 Biggest teaching moment ▶ 1:55 Frank explains why data culture failed for twenty years

Frank educates Nathan on the technical database limitations and siloed infrastructure that prevented enterprise data culture from succeeding previously.

 Nathan holds their own ▶ 10:54 Nathan explains net retention math

Nathan showcases strong SaaS fluency by breaking down the exact mathematical mechanics of a -25% net negative churn cohort.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Looker's Product Mission and SaaS Business Model 5212 Nathan probes Looker's business model and applies basic SaaS unit economics to triangulate Looker's ARR between $36 million and $100 million. Frank is transparent and cooperative about contract values and team scale.
Go-to-Market Strategy and Sales Payback Periods 5225 When Frank initially gives a high-level architectural answer about customer need, Nathan pushes back sharply to ask for the literal acquisition mechanism. Nathan also digs into CAC payback periods, framing standard benchmark thresholds.
Customer Onboarding and Product Adoption Metrics 4311 Nathan inquires about early customer activation signals in the first seven days. Frank explains that demonstrating cohort performance on core business metrics drives long-term customer retention better than superficial analytics experiments.
Negative Churn Dynamics and Enterprise Account Expansion 6213 Nathan demonstrates deep SaaS literacy by explicitly translating Looker's -25% net churn into gross loss versus expansion math. He continues pressing Frank on whether revenue expansion is driven by seat counts or usage metrics.
Sponsor Spotlight: Website Analytics with Hotjar 7224 Following an ad read, Nathan challenges the validity of standard LTV/CAC metrics at scale and asks for the Magic Number formula, which Frank admits he cannot recite offhand. Nathan then shares ARR efficiency benchmarks from other $50M+ companies while Frank keeps exact ratios private.
The Famous Five Rapid-Fire Questions 3111 The conversation wraps up with the standard Famous Five questions and lighthearted banter about Frank's reading habits and age. Nathan finishes with a concise recap monologue synthesizing Looker's metrics.

Statements from this episode (9)

Assertion Not checkable as stated
Looker's customer contracts range from $30,000 to $1 million annually.
“Yeah, I mean, our average customers, you know, the low end would be about 30,000 dollars a year, and the high end would be a million.”
Frank Bien May 3, 2018 ▶ 2:41
Assertion Not checkable as stated
Looker has reached between 1,200 and 1,300 total customers.
“Yeah, so we're about 1200 customers, maybe 1300 now, somewhere in there, but, you know, we're growing really nicely.”
Frank Bien May 3, 2018 ▶ 4:23
Assertion Not checkable as stated
Looker is growing its revenue by more than 50 percent year-over-year.
“You know, we don't go specific, but more than 50, that's for sure.”
Frank Bien May 3, 2018 ▶ 4:33
Disclosure
Looker relies on inside sales for roughly 80 percent of its revenue.
“We're about 80% inside sales. So it's an inside sales SaaS motion.”
Frank Bien May 3, 2018 ▶ 6:51
Disclosure
Looker targets a CAC payback period of under 18 months.
“We would look a little bit like a Marketo looked originally or something like that, but if it's more than 18 months, you know, we start to worry.”
Frank Bien May 3, 2018 ▶ 7:17
Assertion Not checkable as stated
Looker sees 125 percent net revenue retention among enterprise customers.
“Oh, so you'll see like, you know, -25% on a cohort, you know, in the bigger customers.”
Frank Bien May 3, 2018 ▶ 10:41
Insight
Enterprise SaaS companies have a problem if gross retention falls below 90%.
“I mean, you want to, you know, as a SaaS company, you know, playing in enterprise space, if you're more than 10%, losing more than 10% or below 90% overall, you know, from a gross retention, you have a problem.”
Frank Bien May 3, 2018 ▶ 11:21
Insight
LTV-to-CAC ratios are almost meaningless for evaluating SaaS companies.
“Yeah, I mean, like when you look at lifetime value and that kind of CAC ratio in a SaaS company, it's almost meaningless.”
Frank Bien May 3, 2018 ▶ 13:59
Disclosure
Looker avoids the downmarket to target enterprise growth modeled on ServiceNow.
“Yeah, we probably don't chase down market very much. I think, you know, if you were to look at us, you'd say, hey, you know, let's be probably a little bit smaller, but let's go after something like ServiceNow.”
Frank Bien May 3, 2018 ▶ 16:43
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