Jul 7, 2017 · 34m · saastr

How to Break Out and Really Scale

Dan Siroker · 22m spoken Ajay Agarwal · 9m spoken
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In this discussion hosted by Bain Capital Ventures' Ajay Agarwal, Optimizely founder Dan Siroker shares key insights on building a category-defining software company, detailing how product-led innovation, disciplined cultural codification, and outcome-oriented management enabled Optimizely to disrupt legacy incumbents and scale.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

Jason as informed peer 3.6 Guest teaching 5.0 Guest disagreement 0.9 Jason pushing back 0.5
05100:0010:0020:0030:002:52–6:42 · Jason as informed peer 4/10 Differentiating Against Incumbents and Empowering Marketers Ajay sets up questions highlighting how Optimizely competed against giants like Adobe and IBM with non-technical marketers. Dan explains how understanding the practitioner problem enabled them to carve out a product-led wedge against Adobe's complex suite.6:42–9:53 · Jason as informed peer 4/10 Capital Efficiency, Product Evangelism, and the Visual Proxy Editor Ajay asks about Optimizely's capital efficiency and early try-before-you-buy proxy engine. Dan details how weak initial content marketing forced product virality and word-of-mouth evangelism through the visual editor.9:53–12:15 · Jason as informed peer 3/10 Series A Inflection and Navigating Horizontal Versus Vertical Strategy When Ajay asks whether going horizontal was a conscious choice, Dan candidly reframes it as an unconscious mistake, admitting they should have focused earlier on specific vertical problems.12:16–15:25 · Jason as informed peer 4/10 Managing Growth Paces: Building a Rocket Ship to Go Far, Not Just Fast Ajay probes how to manage breakneck growth without crashing. Dan deconstructs the rocket ship metaphor, arguing startups should prioritize going far and building enduring foundations over pure velocity.15:26–18:48 · Jason as informed peer 3/10 Codifying Company Culture: The OPTIFY Values and Jordan's Story Ajay asks about the origins of Optimizely's OPTIFY culture framework. Dan delivers a detailed narrative of codifying culture to eliminate vague hiring criteria, illustrating the values through an engineer's public accountability.18:48–23:16 · Jason as informed peer 3/10 Scaling Cultural Behaviors and Reinforcing Values via Storytelling Ajay asks how cultural standards scale from 40 to 400 employees. Dan explains the critical distinction between invariant core values and adaptable day-to-day communication behaviors.23:17–29:01 · Jason as informed peer 4/10 Go-to-Market Evolution: Unproven Talent and Analytic Pricing Iteration Ajay raises the shift toward enterprise accounts and hiring pedigree. Dan pushes back against copy-pasting legacy enterprise playbooks, advocating for hungry unproven talent and disciplined pricing experiments.29:02–32:48 · Jason as informed peer 4/10 Multi-Product Expansion: Personalization and the Startup Duck Syndrome Ajay compliments the company on pulling off a second major product line. Dan pushes back on the celebratory framing, detailing the missteps made in devaluing their core product and over-investing before securing reference customers.2:52–6:42 · Guest teaching 5/10 Differentiating Against Incumbents and Empowering Marketers Ajay sets up questions highlighting how Optimizely competed against giants like Adobe and IBM with non-technical marketers. Dan explains how understanding the practitioner problem enabled them to carve out a product-led wedge against Adobe's complex suite.6:42–9:53 · Guest teaching 4/10 Capital Efficiency, Product Evangelism, and the Visual Proxy Editor Ajay asks about Optimizely's capital efficiency and early try-before-you-buy proxy engine. Dan details how weak initial content marketing forced product virality and word-of-mouth evangelism through the visual editor.9:53–12:15 · Guest teaching 6/10 Series A Inflection and Navigating Horizontal Versus Vertical Strategy When Ajay asks whether going horizontal was a conscious choice, Dan candidly reframes it as an unconscious mistake, admitting they should have focused earlier on specific vertical problems.12:16–15:25 · Guest teaching 5/10 Managing Growth Paces: Building a Rocket Ship to Go Far, Not Just Fast Ajay probes how to manage breakneck growth without crashing. Dan deconstructs the rocket ship metaphor, arguing startups should prioritize going far and building enduring foundations over pure velocity.15:26–18:48 · Guest teaching 5/10 Codifying Company Culture: The OPTIFY Values and Jordan's Story Ajay asks about the origins of Optimizely's OPTIFY culture framework. Dan delivers a detailed narrative of codifying culture to eliminate vague hiring criteria, illustrating the values through an engineer's public accountability.18:48–23:16 · Guest teaching 4/10 Scaling Cultural Behaviors and Reinforcing Values via Storytelling Ajay asks how cultural standards scale from 40 to 400 employees. Dan explains the critical distinction between invariant core values and adaptable day-to-day communication behaviors.23:17–29:01 · Guest teaching 5/10 Go-to-Market Evolution: Unproven Talent and Analytic Pricing Iteration Ajay raises the shift toward enterprise accounts and hiring pedigree. Dan pushes back against copy-pasting legacy enterprise playbooks, advocating for hungry unproven talent and disciplined pricing experiments.29:02–32:48 · Guest teaching 6/10 Multi-Product Expansion: Personalization and the Startup Duck Syndrome Ajay compliments the company on pulling off a second major product line. Dan pushes back on the celebratory framing, detailing the missteps made in devaluing their core product and over-investing before securing reference customers.2:52–6:42 · Guest disagreement 1/10 Differentiating Against Incumbents and Empowering Marketers Ajay sets up questions highlighting how Optimizely competed against giants like Adobe and IBM with non-technical marketers. Dan explains how understanding the practitioner problem enabled them to carve out a product-led wedge against Adobe's complex suite.6:42–9:53 · Guest disagreement 0/10 Capital Efficiency, Product Evangelism, and the Visual Proxy Editor Ajay asks about Optimizely's capital efficiency and early try-before-you-buy proxy engine. Dan details how weak initial content marketing forced product virality and word-of-mouth evangelism through the visual editor.9:53–12:15 · Guest disagreement 2/10 Series A Inflection and Navigating Horizontal Versus Vertical Strategy When Ajay asks whether going horizontal was a conscious choice, Dan candidly reframes it as an unconscious mistake, admitting they should have focused earlier on specific vertical problems.12:16–15:25 · Guest disagreement 1/10 Managing Growth Paces: Building a Rocket Ship to Go Far, Not Just Fast Ajay probes how to manage breakneck growth without crashing. Dan deconstructs the rocket ship metaphor, arguing startups should prioritize going far and building enduring foundations over pure velocity.15:26–18:48 · Guest disagreement 0/10 Codifying Company Culture: The OPTIFY Values and Jordan's Story Ajay asks about the origins of Optimizely's OPTIFY culture framework. Dan delivers a detailed narrative of codifying culture to eliminate vague hiring criteria, illustrating the values through an engineer's public accountability.18:48–23:16 · Guest disagreement 0/10 Scaling Cultural Behaviors and Reinforcing Values via Storytelling Ajay asks how cultural standards scale from 40 to 400 employees. Dan explains the critical distinction between invariant core values and adaptable day-to-day communication behaviors.23:17–29:01 · Guest disagreement 1/10 Go-to-Market Evolution: Unproven Talent and Analytic Pricing Iteration Ajay raises the shift toward enterprise accounts and hiring pedigree. Dan pushes back against copy-pasting legacy enterprise playbooks, advocating for hungry unproven talent and disciplined pricing experiments.29:02–32:48 · Guest disagreement 2/10 Multi-Product Expansion: Personalization and the Startup Duck Syndrome Ajay compliments the company on pulling off a second major product line. Dan pushes back on the celebratory framing, detailing the missteps made in devaluing their core product and over-investing before securing reference customers.2:52–6:42 · Jason pushing back 1/10 Differentiating Against Incumbents and Empowering Marketers Ajay sets up questions highlighting how Optimizely competed against giants like Adobe and IBM with non-technical marketers. Dan explains how understanding the practitioner problem enabled them to carve out a product-led wedge against Adobe's complex suite.6:42–9:53 · Jason pushing back 0/10 Capital Efficiency, Product Evangelism, and the Visual Proxy Editor Ajay asks about Optimizely's capital efficiency and early try-before-you-buy proxy engine. Dan details how weak initial content marketing forced product virality and word-of-mouth evangelism through the visual editor.9:53–12:15 · Jason pushing back 1/10 Series A Inflection and Navigating Horizontal Versus Vertical Strategy When Ajay asks whether going horizontal was a conscious choice, Dan candidly reframes it as an unconscious mistake, admitting they should have focused earlier on specific vertical problems.12:16–15:25 · Jason pushing back 1/10 Managing Growth Paces: Building a Rocket Ship to Go Far, Not Just Fast Ajay probes how to manage breakneck growth without crashing. Dan deconstructs the rocket ship metaphor, arguing startups should prioritize going far and building enduring foundations over pure velocity.15:26–18:48 · Jason pushing back 0/10 Codifying Company Culture: The OPTIFY Values and Jordan's Story Ajay asks about the origins of Optimizely's OPTIFY culture framework. Dan delivers a detailed narrative of codifying culture to eliminate vague hiring criteria, illustrating the values through an engineer's public accountability.18:48–23:16 · Jason pushing back 0/10 Scaling Cultural Behaviors and Reinforcing Values via Storytelling Ajay asks how cultural standards scale from 40 to 400 employees. Dan explains the critical distinction between invariant core values and adaptable day-to-day communication behaviors.23:17–29:01 · Jason pushing back 1/10 Go-to-Market Evolution: Unproven Talent and Analytic Pricing Iteration Ajay raises the shift toward enterprise accounts and hiring pedigree. Dan pushes back against copy-pasting legacy enterprise playbooks, advocating for hungry unproven talent and disciplined pricing experiments.29:02–32:48 · Jason pushing back 0/10 Multi-Product Expansion: Personalization and the Startup Duck Syndrome Ajay compliments the company on pulling off a second major product line. Dan pushes back on the celebratory framing, detailing the missteps made in devaluing their core product and over-investing before securing reference customers.

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

0:00 · Jason 0% · guest 100%0:00 · Jason 0% · guest 100%3:00 · Jason 0% · guest 100%3:00 · Jason 0% · guest 100%6:00 · Jason 0% · guest 100%6:00 · Jason 0% · guest 100%9:00 · Jason 0% · guest 100%9:00 · Jason 0% · guest 100%12:00 · Jason 0% · guest 100%12:00 · Jason 0% · guest 100%15:00 · Jason 0% · guest 100%15:00 · Jason 0% · guest 100%18:00 · Jason 0% · guest 100%18:00 · Jason 0% · guest 100%21:00 · Jason 0% · guest 100%21:00 · Jason 0% · guest 100%24:00 · Jason 0% · guest 100%24:00 · Jason 0% · guest 100%27:00 · Jason 0% · guest 100%27:00 · Jason 0% · guest 100%30:00 · Jason 0% · guest 100%30:00 · Jason 0% · guest 100%33:00 · Jason 0% · guest 100%33:00 · Jason 0% · guest 100%
Sharpest disagreement ▶ 29:58 Dan dismisses the host's congratulatory premise

Dan immediately corrects Ajay's premise that they easily pulled off a second product, detailing the painful internal mistakes made along the way.

Hardest push from Jason ▶ 26:39 Dan enforces boundaries against legacy playbooks

Dan strongly rejects allowing new enterprise hires to justify practices based on how Salesforce or Siebel operated in the past.

Biggest teaching moment ▶ 11:26 Dan breaks down the mistake of horizontal generalization

Dan teaches the audience and host that their horizontal approach was actually an unconscious failure to deeply solve vertical customer problems.

Jason holds their own ▶ 23:17 Ajay highlights rapid go-to-market metrics from Series A diligence

Ajay references specific early metrics, noting Optimizely's rapid three-to-four month payback period and non-traditional top performers.

the scores for every segment, with the reasoning behind each
ChapterTopicJason as informed peerGuest teachingGuest disagreementJason pushing backWhy
Differentiating Against Incumbents and Empowering Marketers 4511 Ajay sets up questions highlighting how Optimizely competed against giants like Adobe and IBM with non-technical marketers. Dan explains how understanding the practitioner problem enabled them to carve out a product-led wedge against Adobe's complex suite.
Capital Efficiency, Product Evangelism, and the Visual Proxy Editor 4400 Ajay asks about Optimizely's capital efficiency and early try-before-you-buy proxy engine. Dan details how weak initial content marketing forced product virality and word-of-mouth evangelism through the visual editor.
Series A Inflection and Navigating Horizontal Versus Vertical Strategy 3621 When Ajay asks whether going horizontal was a conscious choice, Dan candidly reframes it as an unconscious mistake, admitting they should have focused earlier on specific vertical problems.
Managing Growth Paces: Building a Rocket Ship to Go Far, Not Just Fast 4511 Ajay probes how to manage breakneck growth without crashing. Dan deconstructs the rocket ship metaphor, arguing startups should prioritize going far and building enduring foundations over pure velocity.
Codifying Company Culture: The OPTIFY Values and Jordan's Story 3500 Ajay asks about the origins of Optimizely's OPTIFY culture framework. Dan delivers a detailed narrative of codifying culture to eliminate vague hiring criteria, illustrating the values through an engineer's public accountability.
Scaling Cultural Behaviors and Reinforcing Values via Storytelling 3400 Ajay asks how cultural standards scale from 40 to 400 employees. Dan explains the critical distinction between invariant core values and adaptable day-to-day communication behaviors.
Go-to-Market Evolution: Unproven Talent and Analytic Pricing Iteration 4511 Ajay raises the shift toward enterprise accounts and hiring pedigree. Dan pushes back against copy-pasting legacy enterprise playbooks, advocating for hungry unproven talent and disciplined pricing experiments.
Multi-Product Expansion: Personalization and the Startup Duck Syndrome 4620 Ajay compliments the company on pulling off a second major product line. Dan pushes back on the celebratory framing, detailing the missteps made in devaluing their core product and over-investing before securing reference customers.

Statements from this episode (17)

Assertion Supported
Optimizely became the top website optimization platform globally by 2012
“So in 2012, ah, we became the number one most adopted website optimization platform in the world. We actually had Obama And Romney using us extensively, which is great.”
Dan Siroker Jul 7, 2017 ▶ 2:29
Assertion Supported
Siroker: Optimizely operated without multivariate testing for a year and a half
“We didn't have features that people assumed were, ah, must haves, things like multivariate testing. We didn't have that for a year and a half.”
Dan Siroker Jul 7, 2017 ▶ 3:49
Opinion
Siroker calls Adobe's marketing cloud a poorly integrated 'Franken-suite'
“Adobe you know, has a product that, you know, has been evolved through acquisitions, which turns what they're offering into what our customers tend to describe as a Franken-sweet. It's a bunch of products that don't really integrate well with one another.”
Dan Siroker Jul 7, 2017 ▶ 5:22
Assertion Not checkable as stated
Siroker: IBM has hundreds of non-developers running daily tests on Optimizely
“They've seen 70% of the decision gets made before sales person is involved. So they use Optimizely. They've got a team of hundreds of people doing A-B testing, optimization every single day that don't require developers to be involved in the process.”
Dan Siroker Jul 7, 2017 ▶ 6:29
Assertion Not checkable as stated
Optimizely hit a $10M run rate before raising a Series A
“Dan raised a series A when I think you were already ten million dollar run rate. He went from a million to ten million on almost no capital.”
Ajay Agarwal Jul 7, 2017 ▶ 6:43
Disclosure
Siroker: Optimizely proxied websites to let non-technical users test changes
“If you haven't implemented Optimizely, we would actually proxy your website and inject Optimizely into it, so that you get that sort of visceral magical feeling of making a change to your website without requiring a developer.”
Dan Siroker Jul 7, 2017 ▶ 9:13
What-if
Siroker: Optimizely would have benefited early on from vertical focus
“If I had to give myself advice to a past version of myself, I think a lot about that, and I think about optimization. I think that it would have actually served us better to be more narrowly focused on a set of customers and deeply empathize with their biggest…”
Dan Siroker Jul 7, 2017 ▶ 11:37
Insight
Siroker: Founders should pace growth for longevity, not headline speed
“Make it a conscious commitment, not an unconscious commitment, to grow at a pace that enables you, ah, to build an enduring company, not just, you know, one of the top fastest growing companies of the year.”
Dan Siroker Jul 7, 2017 ▶ 14:10
Assertion Not checkable as stated
Siroker personally interviewed Optimizely's first 100 hires
“I interviewed the first hundred people at Optimizely, and that means I also interviewed probably the other, you know 209 hundred, whatever people that we didn't hire.”
Dan Siroker Jul 7, 2017 ▶ 14:38
Insight
Siroker: Codifying company culture early creates hiring consistency on 'culture fit'
“Why did we start so early codifying our culture? It started really with this pragmatic need to be consistent. We would interview a bunch of people, ah, on a day, and at the end of the day, the interviewers would get together and do a sync meeting. And soon I'd…”
Dan Siroker Jul 7, 2017 ▶ 16:03
Insight
Siroker: Job candidates heavily focused on titles are a massive red flag
“We try to seek missionaries, not mercenaries. So people who are really focused on title as part of that process, ah, to me is a red flag. It means that they're about trying to make their LinkedIn profile look good, not how to make our customers wildly successf…”
Dan Siroker Jul 7, 2017 ▶ 19:51
Insight
Siroker: Company cultural behaviors break as headcount scales from 40 to 400
“Now, the values are different from the behaviors. The values of transparency, for example, I think are pretty, ah, universal. Behaviors within the organization, such as an early one that we had, which was that every time we'd have a meeting of two more people …”
Dan Siroker Jul 7, 2017 ▶ 20:46
Assertion Not checkable as stated
Optimizely boasted a three- to four-month payback period at Series A
“I think when we invested at the A, your payback period was three or four months.”
Ajay Agarwal Jul 7, 2017 ▶ 23:27
Insight
Siroker: Hiring hungry, unproven talent beats hiring for resume pedigree
“I'd rather somebody With a chip on their shoulder, who wants to have an opportunity in our company to prove that they can do great things, ah, than somebody who has the pedigree or resume that says they've done it before.”
Dan Siroker Jul 7, 2017 ▶ 25:01
Opinion
Siroker: Optimizely remains heavily underpriced relative to customer ROI
“I think early on, ah, and still, even to this day, ah, we're very underpriced. People look at our product and, you know, when they're thinking about renewing, they're looking at the millions of dollars of Lyft they're getting, ah, and maybe the hundreds of tho…”
Dan Siroker Jul 7, 2017 ▶ 27:26
Opinion
Agarwal: Most SaaS companies fail to build a meaningful second product
“If you look at the history of enterprise software and SaaS companies, you know, most companies rarely build a second product, you know, second product that's kind of as meaningful and as big and has as much potential as the first product.”
Ajay Agarwal Jul 7, 2017 ▶ 29:10
Insight
Secure six paying reference customers before scaling a second product's go-to-market
“Looking back, what I would, wish I had done differently is, is have a small team of folks working on getting six reference customers who are using the product, paying for the product, and are willing to be public spokespeople for the product as a way, ah, to r…”
Dan Siroker Jul 7, 2017 ▶ 31:04
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