Mar 13, 2024 · 44m · mad

AI's Killing Marketing. Ecosystem-Led Grow is the Future | Bob Moore, the CEO of Crossbeam

Bob Moore · 39m spoken Matt Turck · 2m spoken
0:00 / 0:00
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In this episode of The MAD Podcast, Crossbeam CEO Bob Moore joins host Matt Turck to discuss his book 'Ecosystem-Led Growth' and explain how partner data and ecosystem networks are revolutionizing SaaS go-to-market strategies in the face of post-ZIRP economic shifts and AI disruption.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 6.6% of the talking time here. How this is scored →

Matt as informed peer 2.3 Guest teaching 3.6 Guest disagreement 1.1 Matt pushing back 0.3
05100:0015:0030:000:41–3:18 · Matt as informed peer 1/10 The Genesis and Purpose of Ecosystem-Led Growth Matt asks a basic opening question about why Bob wrote a book. Bob explains the low success rate of business books and the product-market fit required before writing one.3:18–12:13 · Matt as informed peer 3/10 Founder Scar Tissue: The $2.6 Billion Mistake and Ecosystem Lessons Matt demonstrates background knowledge by bringing up VC tropes and framing Bob's history as a 2.6 billion dollar mistake. Bob reframes the VC perspective to emphasis founders with a chip on their shoulder and explains how Looker beat RJ Metrics.12:13–20:56 · Matt as informed peer 3/10 Defining Ecosystem-Led Growth and Solving the Data Standoff Bob explains ecosystem-led growth and the prisoner's dilemma of partner data mapping. Matt pushes for a concrete scenario to keep the explanation clear for listeners.20:56–24:57 · Matt as informed peer 2/10 Macroeconomic Shifts: Why ELG Thrives in the Post-ZIRP Era Matt prompts Bob on macroeconomic shifts. Bob breaks down why ELG excels in a post-ZIRP environment where burn multiples and efficiency matter more than growth at all costs.24:57–31:49 · Matt as informed peer 3/10 AI Disruption: The Decline of Inbound and Outbound Channels Matt cites Bob's views on AI ruining sales channels. Bob forcefully critiques cold SDR outreach as a negative-sum game and explains how AI search undermines SEO inbound.31:49–36:13 · Matt as informed peer 2/10 Practical Implementation: Getting Started with ELG Matt asks how companies can practically get started with ELG. Bob explains Crossbeam's free tier and reframes ecosystem partnerships around buyer value chains rather than direct API integrations.36:13–43:35 · Matt as informed peer 2/10 The ELG Readiness Matrix: Evaluating When to Adopt ELG Matt asks when startups should adopt ELG. Bob presents his two-by-two readiness matrix comparing scale and ecosystem DNA across four company archetypes.0:41–3:18 · Guest teaching 2/10 The Genesis and Purpose of Ecosystem-Led Growth Matt asks a basic opening question about why Bob wrote a book. Bob explains the low success rate of business books and the product-market fit required before writing one.3:18–12:13 · Guest teaching 3/10 Founder Scar Tissue: The $2.6 Billion Mistake and Ecosystem Lessons Matt demonstrates background knowledge by bringing up VC tropes and framing Bob's history as a 2.6 billion dollar mistake. Bob reframes the VC perspective to emphasis founders with a chip on their shoulder and explains how Looker beat RJ Metrics.12:13–20:56 · Guest teaching 4/10 Defining Ecosystem-Led Growth and Solving the Data Standoff Bob explains ecosystem-led growth and the prisoner's dilemma of partner data mapping. Matt pushes for a concrete scenario to keep the explanation clear for listeners.20:56–24:57 · Guest teaching 3/10 Macroeconomic Shifts: Why ELG Thrives in the Post-ZIRP Era Matt prompts Bob on macroeconomic shifts. Bob breaks down why ELG excels in a post-ZIRP environment where burn multiples and efficiency matter more than growth at all costs.24:57–31:49 · Guest teaching 5/10 AI Disruption: The Decline of Inbound and Outbound Channels Matt cites Bob's views on AI ruining sales channels. Bob forcefully critiques cold SDR outreach as a negative-sum game and explains how AI search undermines SEO inbound.31:49–36:13 · Guest teaching 4/10 Practical Implementation: Getting Started with ELG Matt asks how companies can practically get started with ELG. Bob explains Crossbeam's free tier and reframes ecosystem partnerships around buyer value chains rather than direct API integrations.36:13–43:35 · Guest teaching 4/10 The ELG Readiness Matrix: Evaluating When to Adopt ELG Matt asks when startups should adopt ELG. Bob presents his two-by-two readiness matrix comparing scale and ecosystem DNA across four company archetypes.0:41–3:18 · Guest disagreement 1/10 The Genesis and Purpose of Ecosystem-Led Growth Matt asks a basic opening question about why Bob wrote a book. Bob explains the low success rate of business books and the product-market fit required before writing one.3:18–12:13 · Guest disagreement 1/10 Founder Scar Tissue: The $2.6 Billion Mistake and Ecosystem Lessons Matt demonstrates background knowledge by bringing up VC tropes and framing Bob's history as a 2.6 billion dollar mistake. Bob reframes the VC perspective to emphasis founders with a chip on their shoulder and explains how Looker beat RJ Metrics.12:13–20:56 · Guest disagreement 1/10 Defining Ecosystem-Led Growth and Solving the Data Standoff Bob explains ecosystem-led growth and the prisoner's dilemma of partner data mapping. Matt pushes for a concrete scenario to keep the explanation clear for listeners.20:56–24:57 · Guest disagreement 1/10 Macroeconomic Shifts: Why ELG Thrives in the Post-ZIRP Era Matt prompts Bob on macroeconomic shifts. Bob breaks down why ELG excels in a post-ZIRP environment where burn multiples and efficiency matter more than growth at all costs.24:57–31:49 · Guest disagreement 2/10 AI Disruption: The Decline of Inbound and Outbound Channels Matt cites Bob's views on AI ruining sales channels. Bob forcefully critiques cold SDR outreach as a negative-sum game and explains how AI search undermines SEO inbound.31:49–36:13 · Guest disagreement 1/10 Practical Implementation: Getting Started with ELG Matt asks how companies can practically get started with ELG. Bob explains Crossbeam's free tier and reframes ecosystem partnerships around buyer value chains rather than direct API integrations.36:13–43:35 · Guest disagreement 1/10 The ELG Readiness Matrix: Evaluating When to Adopt ELG Matt asks when startups should adopt ELG. Bob presents his two-by-two readiness matrix comparing scale and ecosystem DNA across four company archetypes.0:41–3:18 · Matt pushing back 0/10 The Genesis and Purpose of Ecosystem-Led Growth Matt asks a basic opening question about why Bob wrote a book. Bob explains the low success rate of business books and the product-market fit required before writing one.3:18–12:13 · Matt pushing back 1/10 Founder Scar Tissue: The $2.6 Billion Mistake and Ecosystem Lessons Matt demonstrates background knowledge by bringing up VC tropes and framing Bob's history as a 2.6 billion dollar mistake. Bob reframes the VC perspective to emphasis founders with a chip on their shoulder and explains how Looker beat RJ Metrics.12:13–20:56 · Matt pushing back 1/10 Defining Ecosystem-Led Growth and Solving the Data Standoff Bob explains ecosystem-led growth and the prisoner's dilemma of partner data mapping. Matt pushes for a concrete scenario to keep the explanation clear for listeners.20:56–24:57 · Matt pushing back 0/10 Macroeconomic Shifts: Why ELG Thrives in the Post-ZIRP Era Matt prompts Bob on macroeconomic shifts. Bob breaks down why ELG excels in a post-ZIRP environment where burn multiples and efficiency matter more than growth at all costs.24:57–31:49 · Matt pushing back 0/10 AI Disruption: The Decline of Inbound and Outbound Channels Matt cites Bob's views on AI ruining sales channels. Bob forcefully critiques cold SDR outreach as a negative-sum game and explains how AI search undermines SEO inbound.31:49–36:13 · Matt pushing back 0/10 Practical Implementation: Getting Started with ELG Matt asks how companies can practically get started with ELG. Bob explains Crossbeam's free tier and reframes ecosystem partnerships around buyer value chains rather than direct API integrations.36:13–43:35 · Matt pushing back 0/10 The ELG Readiness Matrix: Evaluating When to Adopt ELG Matt asks when startups should adopt ELG. Bob presents his two-by-two readiness matrix comparing scale and ecosystem DNA across four company archetypes.

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

0:00 · Matt 15% · guest 85%0:00 · Matt 15% · guest 85%3:00 · Matt 17.5% · guest 82.5%3:00 · Matt 17.5% · guest 82.5%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 6.4% · guest 93.6%12:00 · Matt 6.4% · guest 93.6%15:00 · Matt 11% · guest 89%15:00 · Matt 11% · guest 89%18:00 · Matt 5% · guest 95%18:00 · Matt 5% · guest 95%21:00 · Matt 0% · guest 100%21:00 · Matt 0% · guest 100%24:00 · Matt 5.8% · guest 94.2%24:00 · Matt 5.8% · guest 94.2%27:00 · Matt 0.1% · guest 99.9%27:00 · Matt 0.1% · guest 99.9%30:00 · Matt 12.2% · guest 87.8%30:00 · Matt 12.2% · guest 87.8%33:00 · Matt 0% · guest 100%33:00 · Matt 0% · guest 100%36:00 · Matt 3.8% · guest 96.2%36:00 · Matt 3.8% · guest 96.2%39:00 · Matt 0% · guest 100%39:00 · Matt 0% · guest 100%42:00 · Matt 27.3% · guest 72.7%42:00 · Matt 27.3% · guest 72.7%
Sharpest disagreement ▶ 28:30 Critique of cold outbound as a negative-sum game

Bob forcefully dismisses conventional SDR playbooks, explaining how mass cold emailing creates a negative-sum game with bottomed-out ROI.

Hardest push from Matt ▶ 17:30 Interjecting for a concrete hypothetical

Matt interrupts Bob's abstract explanation of data escrow to ground the concept in a practical hypothetical involving Company A and Company B sharing regional data.

Biggest teaching moment ▶ 13:00 Explaining the prisoner's dilemma of data sharing

Bob educates the host on the game theory dynamics that historically prevented companies from sharing customer data for account mapping.

Matt holds his own ▶ 3:18 Framing Bob's founder history as a $2.6B mistake

Matt demonstrates strong domain context by citing VC investment patterns and cleverly framing Bob's RJ Metrics experience as a $2.6B mistake on steroids.

the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
The Genesis and Purpose of Ecosystem-Led Growth 1210 Matt asks a basic opening question about why Bob wrote a book. Bob explains the low success rate of business books and the product-market fit required before writing one.
Founder Scar Tissue: The $2.6 Billion Mistake and Ecosystem Lessons 3311 Matt demonstrates background knowledge by bringing up VC tropes and framing Bob's history as a 2.6 billion dollar mistake. Bob reframes the VC perspective to emphasis founders with a chip on their shoulder and explains how Looker beat RJ Metrics.
Defining Ecosystem-Led Growth and Solving the Data Standoff 3411 Bob explains ecosystem-led growth and the prisoner's dilemma of partner data mapping. Matt pushes for a concrete scenario to keep the explanation clear for listeners.
Macroeconomic Shifts: Why ELG Thrives in the Post-ZIRP Era 2310 Matt prompts Bob on macroeconomic shifts. Bob breaks down why ELG excels in a post-ZIRP environment where burn multiples and efficiency matter more than growth at all costs.
AI Disruption: The Decline of Inbound and Outbound Channels 3520 Matt cites Bob's views on AI ruining sales channels. Bob forcefully critiques cold SDR outreach as a negative-sum game and explains how AI search undermines SEO inbound.
Practical Implementation: Getting Started with ELG 2410 Matt asks how companies can practically get started with ELG. Bob explains Crossbeam's free tier and reframes ecosystem partnerships around buyer value chains rather than direct API integrations.
The ELG Readiness Matrix: Evaluating When to Adopt ELG 2410 Matt asks when startups should adopt ELG. Bob presents his two-by-two readiness matrix comparing scale and ecosystem DNA across four company archetypes.

Statements from this episode (13)

Insight
Most business books could have been a blog post
“I think most business books could have been a blog post and most blog posts could have been a tweet”
Bob Moore Mar 13, 2024 ▶ 0:54
Assertion Not checkable as stated
The average first-time book author sells fewer than 300 copies
“The average first time author whose books hit the shelves sell less than 300 copies of their books.”
Bob Moore Mar 13, 2024 ▶ 1:19
Assertion Not checkable as stated
Crossbeam has reached 18,000 participating companies and nearly 100,000 users
“We're up to 18,000 companies that use Crossbeam now we're getting close to a 100,000 users on the platform”
Bob Moore Mar 13, 2024 ▶ 2:22
Insight
Repeat founders with scar tissue and muscle memory possess superior DNA
“A founder that's gone through the full motions and develop this really interesting blend of muscle memory and scar tissue that will kind of take them into their next business, knowing Where to flex and lean into what they're strong at, but also knowing where t…”
Bob Moore Mar 13, 2024 ▶ 4:09
Insight
Ecosystem-led growth requires pipeline cross-pollination, not just product integrations
“ELG doesn't really come in to the fold until you start thinking about the ways in which your go-to-market team is actually leveraging those facts the ways in which your sales pipelines cross-pollinate, the ways in which your messaging cross-pollinates, the way…”
Bob Moore Mar 13, 2024 ▶ 9:49
Insight
The best partner intent signals occur within a week of deal close
“The most valuable signal of intent from your partner ecosystem probably happens in the 48 hours to one week after your partner closes a deal with someone that you're trying to sell to.”
Bob Moore Mar 13, 2024 ▶ 15:34
Insight
Ecosystem-led growth acts as a force multiplier without adding headcount
“ELG turns out to be a really, really awesome strategy for that because at its core, this is not a strategy that requires you to hire incremental human beings in order to do the work better. This is a force multiplier that sits on top of your existing go-to-mar…”
Bob Moore Mar 13, 2024 ▶ 22:52
Assertion Not checkable as stated
AI content creation now surpasses the bottom 80% of marketing employees
“AI can generate content that has gone from laughably bad to, like, better than the bottom 25% of marketing employees to, like, maybe better than the bottom 80% of marketing employees and on a trajectory to continue progressing there.”
Bob Moore Mar 13, 2024 ▶ 26:23
Assertion Supported
A large cohort of internet users has replaced search engines with ChatGPT
“There's a whole cohort of humans that have already largely replaced a very, very large proportion of their traditional search behavior on search engines from looking through these search engine results pages to just trusting the answers that that come out of C…”
Bob Moore Mar 13, 2024 ▶ 27:12
Insight
Cold outbound sales generates manual awareness, not buyer demand
“It's because cold outbound doesn't generate demand. Cold outbound generates awareness manually among, you know, otherwise highly targeted folks.”
Bob Moore Mar 13, 2024 ▶ 30:33
Assertion Not checkable as stated
Looker was Stitch's top go-to-market partner despite lacking direct software integration
“At Stitch back in the day, we didn't actually have hard integrations into Looker at all. It was the data warehouse that sat in between where we deposited data and where Looker pulled the data out. There was no physical integration between us and Looker, but Lo…”
Bob Moore Mar 13, 2024 ▶ 34:49
Insight
Validate partnership demand via go-to-market before building product integrations
“Put the cart before the horse and get the go to market benefits before you even do the product investment work. And what a great, great way to validate That if you do build those integrations, so that you do go into a deeper strategic partnership, that it's go…”
Bob Moore Mar 13, 2024 ▶ 35:56
Insight
Partnerships require a heavier lift from smaller companies than their larger partners
“If you're small, then you are less likely to have kind of the gravitational pull of other companies, which means investing in a partnership will more often than not require heavier lift from you than it will from the partner.”
Bob Moore Mar 13, 2024 ▶ 37:00
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