May 30, 2025 · 1h 18m · 20sales

20Sales: From $2M ARR to $40M ARR: The Playbook | How to Use AI To Supercharge Your Sales Team | Why Pipeline Reviews are BS | The Sales Call Script that Closes 99% of Prospects and How to Hire the Best Sales Reps with Kyle Norton, CRO @ Owner

Kyle Norton · 51m spoken Harry Stebbings · 20m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of 20 Sales, host Harry Stebbings interviews Kyle Norton, Chief Revenue Officer at Owner.com, about scaling annual recurring revenue from $2M to $40M in the SMB restaurant market. Norton shares tactical insights on applying systems engineering to sales, leveraging AI and automation in RevOps, structured candidate hiring, and radically transparent selling.

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 28.5% of the talking time here. How this is scored →

Harry as informed peer 4.2 Guest teaching 6.3 Guest disagreement 2.2 Harry pushing back 3.2
05100:0020:0040:001:00:003:10–6:14 · Harry as informed peer 2/10 Welcome and Pre-Interview Catch-Up with Kyle Norton Harry welcomes Kyle and asks how his time at Shopify shaped his view of sales leadership. Kyle explains how product knowledge and systems engineering frameworks like Teresa Torres' opportunity solution tree transformed his leadership approach.6:15–11:36 · Harry as informed peer 3/10 Sourcing Strategy and Founder Involvement in Sales Playbooks Harry asks whether founders must build the initial sales playbook and how sales leaders should handle sourcing. Kyle reframes sourcing as a non-negotiable core task for revenue leaders rather than something to delegate to talent teams.11:36–15:30 · Harry as informed peer 2/10 The Candidate Scorecard Framework and Hiring Red Flags Kyle details his candidate scorecard framework across DNA, craft, and specific knowledge. Harry probes into early hiring mistakes, and Kyle explains why he fires quickly on culture alignment issues.15:30–21:01 · Harry as informed peer 4/10 Building a High-Impact Sales Onboarding and Training Program Harry challenges Kyle's heavy reliance on rigid scripting and LMS modules, asking if they are just hiring monkeys. Kyle counters that scripting offloads lower-level cognitive load so reps can focus on higher-order deal dynamics.21:01–27:09 · Harry as informed peer 5/10 Making Outbound Economics Work for Low-ACV SMB Accounts Harry cites traditional enterprise benchmarks to question outbound viability on low $8k-$9k ACVs. Kyle rejects reasoning by analogy and shows how mobile phone data enrichment increased connect rates from 3 percent to 16 percent.27:09–32:27 · Harry as informed peer 5/10 AE vs. BDR Roles, Incentive Compensation, and P&L Mastery Harry questions whether low BDR pay yields poor quality and asks about gamification risks. Kyle explains machine learning comp models tied to estimated gross payment volume and emphasizes revenue leaders mastering their P and L cell by cell.32:27–35:39 · Harry as informed peer 3/10 Founder-Led Organic Media as a Long-Term Growth Engine Kyle shares how Founder Adam's early, multi-million dollar bet on YouTube organic content created a compounding demand engine. Harry concurs on the value of early channel conviction.35:39–45:42 · Harry as informed peer 5/10 Radically Transparent Selling and Automated Targeting Models Kyle outlines radically transparent selling where reps lead with product weaknesses to build trust. Harry presses on why competitors like Olo are formatted differently and asks if Owner faces pressure to move upmarket.45:42–53:35 · Harry as informed peer 6/10 RevOps Automation, Onboarding Quality, and LATAM Operations Harry brings up his investment in Pavlov and challenges the margin cost of high-touch launch specialists for $500 monthly contracts. Kyle explains how LATAM team integration and scoring models make the economics work.53:35–1:03:58 · Harry as informed peer 5/10 Scaling Leadership, Rep Engagement Frameworks, and AI Strategy Harry cites Jason Lemkin regarding work ethic and asks if pure money motivation works. Kyle explains why money-only sellers make him nervous, breaks down his CRAMPS engagement framework, and pushes for dedicated AI roles.1:03:58–1:15:41 · Harry as informed peer 6/10 The Future of Sales AI, Moats, and Owner's Long-Term Vision Harry shares his podcasting outbound strategy and uses a Trader Joe's vs homemade bolognese analogy to illustrate operational moats. Kyle agrees that execution is the ultimate moat when sharing playbooks publicly.3:10–6:14 · Guest teaching 5/10 Welcome and Pre-Interview Catch-Up with Kyle Norton Harry welcomes Kyle and asks how his time at Shopify shaped his view of sales leadership. Kyle explains how product knowledge and systems engineering frameworks like Teresa Torres' opportunity solution tree transformed his leadership approach.6:15–11:36 · Guest teaching 6/10 Sourcing Strategy and Founder Involvement in Sales Playbooks Harry asks whether founders must build the initial sales playbook and how sales leaders should handle sourcing. Kyle reframes sourcing as a non-negotiable core task for revenue leaders rather than something to delegate to talent teams.11:36–15:30 · Guest teaching 6/10 The Candidate Scorecard Framework and Hiring Red Flags Kyle details his candidate scorecard framework across DNA, craft, and specific knowledge. Harry probes into early hiring mistakes, and Kyle explains why he fires quickly on culture alignment issues.15:30–21:01 · Guest teaching 7/10 Building a High-Impact Sales Onboarding and Training Program Harry challenges Kyle's heavy reliance on rigid scripting and LMS modules, asking if they are just hiring monkeys. Kyle counters that scripting offloads lower-level cognitive load so reps can focus on higher-order deal dynamics.21:01–27:09 · Guest teaching 7/10 Making Outbound Economics Work for Low-ACV SMB Accounts Harry cites traditional enterprise benchmarks to question outbound viability on low $8k-$9k ACVs. Kyle rejects reasoning by analogy and shows how mobile phone data enrichment increased connect rates from 3 percent to 16 percent.27:09–32:27 · Guest teaching 7/10 AE vs. BDR Roles, Incentive Compensation, and P&L Mastery Harry questions whether low BDR pay yields poor quality and asks about gamification risks. Kyle explains machine learning comp models tied to estimated gross payment volume and emphasizes revenue leaders mastering their P and L cell by cell.32:27–35:39 · Guest teaching 5/10 Founder-Led Organic Media as a Long-Term Growth Engine Kyle shares how Founder Adam's early, multi-million dollar bet on YouTube organic content created a compounding demand engine. Harry concurs on the value of early channel conviction.35:39–45:42 · Guest teaching 7/10 Radically Transparent Selling and Automated Targeting Models Kyle outlines radically transparent selling where reps lead with product weaknesses to build trust. Harry presses on why competitors like Olo are formatted differently and asks if Owner faces pressure to move upmarket.45:42–53:35 · Guest teaching 6/10 RevOps Automation, Onboarding Quality, and LATAM Operations Harry brings up his investment in Pavlov and challenges the margin cost of high-touch launch specialists for $500 monthly contracts. Kyle explains how LATAM team integration and scoring models make the economics work.53:35–1:03:58 · Guest teaching 7/10 Scaling Leadership, Rep Engagement Frameworks, and AI Strategy Harry cites Jason Lemkin regarding work ethic and asks if pure money motivation works. Kyle explains why money-only sellers make him nervous, breaks down his CRAMPS engagement framework, and pushes for dedicated AI roles.1:03:58–1:15:41 · Guest teaching 6/10 The Future of Sales AI, Moats, and Owner's Long-Term Vision Harry shares his podcasting outbound strategy and uses a Trader Joe's vs homemade bolognese analogy to illustrate operational moats. Kyle agrees that execution is the ultimate moat when sharing playbooks publicly.3:10–6:14 · Guest disagreement 1/10 Welcome and Pre-Interview Catch-Up with Kyle Norton Harry welcomes Kyle and asks how his time at Shopify shaped his view of sales leadership. Kyle explains how product knowledge and systems engineering frameworks like Teresa Torres' opportunity solution tree transformed his leadership approach.6:15–11:36 · Guest disagreement 2/10 Sourcing Strategy and Founder Involvement in Sales Playbooks Harry asks whether founders must build the initial sales playbook and how sales leaders should handle sourcing. Kyle reframes sourcing as a non-negotiable core task for revenue leaders rather than something to delegate to talent teams.11:36–15:30 · Guest disagreement 1/10 The Candidate Scorecard Framework and Hiring Red Flags Kyle details his candidate scorecard framework across DNA, craft, and specific knowledge. Harry probes into early hiring mistakes, and Kyle explains why he fires quickly on culture alignment issues.15:30–21:01 · Guest disagreement 3/10 Building a High-Impact Sales Onboarding and Training Program Harry challenges Kyle's heavy reliance on rigid scripting and LMS modules, asking if they are just hiring monkeys. Kyle counters that scripting offloads lower-level cognitive load so reps can focus on higher-order deal dynamics.21:01–27:09 · Guest disagreement 3/10 Making Outbound Economics Work for Low-ACV SMB Accounts Harry cites traditional enterprise benchmarks to question outbound viability on low $8k-$9k ACVs. Kyle rejects reasoning by analogy and shows how mobile phone data enrichment increased connect rates from 3 percent to 16 percent.27:09–32:27 · Guest disagreement 3/10 AE vs. BDR Roles, Incentive Compensation, and P&L Mastery Harry questions whether low BDR pay yields poor quality and asks about gamification risks. Kyle explains machine learning comp models tied to estimated gross payment volume and emphasizes revenue leaders mastering their P and L cell by cell.32:27–35:39 · Guest disagreement 1/10 Founder-Led Organic Media as a Long-Term Growth Engine Kyle shares how Founder Adam's early, multi-million dollar bet on YouTube organic content created a compounding demand engine. Harry concurs on the value of early channel conviction.35:39–45:42 · Guest disagreement 3/10 Radically Transparent Selling and Automated Targeting Models Kyle outlines radically transparent selling where reps lead with product weaknesses to build trust. Harry presses on why competitors like Olo are formatted differently and asks if Owner faces pressure to move upmarket.45:42–53:35 · Guest disagreement 2/10 RevOps Automation, Onboarding Quality, and LATAM Operations Harry brings up his investment in Pavlov and challenges the margin cost of high-touch launch specialists for $500 monthly contracts. Kyle explains how LATAM team integration and scoring models make the economics work.53:35–1:03:58 · Guest disagreement 3/10 Scaling Leadership, Rep Engagement Frameworks, and AI Strategy Harry cites Jason Lemkin regarding work ethic and asks if pure money motivation works. Kyle explains why money-only sellers make him nervous, breaks down his CRAMPS engagement framework, and pushes for dedicated AI roles.1:03:58–1:15:41 · Guest disagreement 2/10 The Future of Sales AI, Moats, and Owner's Long-Term Vision Harry shares his podcasting outbound strategy and uses a Trader Joe's vs homemade bolognese analogy to illustrate operational moats. Kyle agrees that execution is the ultimate moat when sharing playbooks publicly.3:10–6:14 · Harry pushing back 1/10 Welcome and Pre-Interview Catch-Up with Kyle Norton Harry welcomes Kyle and asks how his time at Shopify shaped his view of sales leadership. Kyle explains how product knowledge and systems engineering frameworks like Teresa Torres' opportunity solution tree transformed his leadership approach.6:15–11:36 · Harry pushing back 2/10 Sourcing Strategy and Founder Involvement in Sales Playbooks Harry asks whether founders must build the initial sales playbook and how sales leaders should handle sourcing. Kyle reframes sourcing as a non-negotiable core task for revenue leaders rather than something to delegate to talent teams.11:36–15:30 · Harry pushing back 2/10 The Candidate Scorecard Framework and Hiring Red Flags Kyle details his candidate scorecard framework across DNA, craft, and specific knowledge. Harry probes into early hiring mistakes, and Kyle explains why he fires quickly on culture alignment issues.15:30–21:01 · Harry pushing back 5/10 Building a High-Impact Sales Onboarding and Training Program Harry challenges Kyle's heavy reliance on rigid scripting and LMS modules, asking if they are just hiring monkeys. Kyle counters that scripting offloads lower-level cognitive load so reps can focus on higher-order deal dynamics.21:01–27:09 · Harry pushing back 4/10 Making Outbound Economics Work for Low-ACV SMB Accounts Harry cites traditional enterprise benchmarks to question outbound viability on low $8k-$9k ACVs. Kyle rejects reasoning by analogy and shows how mobile phone data enrichment increased connect rates from 3 percent to 16 percent.27:09–32:27 · Harry pushing back 5/10 AE vs. BDR Roles, Incentive Compensation, and P&L Mastery Harry questions whether low BDR pay yields poor quality and asks about gamification risks. Kyle explains machine learning comp models tied to estimated gross payment volume and emphasizes revenue leaders mastering their P and L cell by cell.32:27–35:39 · Harry pushing back 1/10 Founder-Led Organic Media as a Long-Term Growth Engine Kyle shares how Founder Adam's early, multi-million dollar bet on YouTube organic content created a compounding demand engine. Harry concurs on the value of early channel conviction.35:39–45:42 · Harry pushing back 5/10 Radically Transparent Selling and Automated Targeting Models Kyle outlines radically transparent selling where reps lead with product weaknesses to build trust. Harry presses on why competitors like Olo are formatted differently and asks if Owner faces pressure to move upmarket.45:42–53:35 · Harry pushing back 4/10 RevOps Automation, Onboarding Quality, and LATAM Operations Harry brings up his investment in Pavlov and challenges the margin cost of high-touch launch specialists for $500 monthly contracts. Kyle explains how LATAM team integration and scoring models make the economics work.53:35–1:03:58 · Harry pushing back 4/10 Scaling Leadership, Rep Engagement Frameworks, and AI Strategy Harry cites Jason Lemkin regarding work ethic and asks if pure money motivation works. Kyle explains why money-only sellers make him nervous, breaks down his CRAMPS engagement framework, and pushes for dedicated AI roles.1:03:58–1:15:41 · Harry pushing back 2/10 The Future of Sales AI, Moats, and Owner's Long-Term Vision Harry shares his podcasting outbound strategy and uses a Trader Joe's vs homemade bolognese analogy to illustrate operational moats. Kyle agrees that execution is the ultimate moat when sharing playbooks publicly.

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

0:00 · Harry 100% · guest 0%0:00 · Harry 100% · guest 0%3:00 · Harry 30.2% · guest 69.8%3:00 · Harry 30.2% · guest 69.8%6:00 · Harry 26.8% · guest 73.2%6:00 · Harry 26.8% · guest 73.2%9:00 · Harry 24.5% · guest 75.5%9:00 · Harry 24.5% · guest 75.5%12:00 · Harry 13.9% · guest 86.1%12:00 · Harry 13.9% · guest 86.1%15:00 · Harry 15.2% · guest 84.8%15:00 · Harry 15.2% · guest 84.8%18:00 · Harry 20.4% · guest 79.6%18:00 · Harry 20.4% · guest 79.6%21:00 · Harry 12.8% · guest 87.2%21:00 · Harry 12.8% · guest 87.2%24:00 · Harry 31.2% · guest 68.8%24:00 · Harry 31.2% · guest 68.8%27:00 · Harry 29.8% · guest 70.2%27:00 · Harry 29.8% · guest 70.2%30:00 · Harry 8.4% · guest 91.6%30:00 · Harry 8.4% · guest 91.6%33:00 · Harry 19% · guest 81%33:00 · Harry 19% · guest 81%36:00 · Harry 5.9% · guest 94.1%36:00 · Harry 5.9% · guest 94.1%39:00 · Harry 31.9% · guest 68.1%39:00 · Harry 31.9% · guest 68.1%42:00 · Harry 34.1% · guest 65.9%42:00 · Harry 34.1% · guest 65.9%45:00 · Harry 24.3% · guest 75.7%45:00 · Harry 24.3% · guest 75.7%48:00 · Harry 29.2% · guest 70.8%48:00 · Harry 29.2% · guest 70.8%51:00 · Harry 17.4% · guest 82.6%51:00 · Harry 17.4% · guest 82.6%54:00 · Harry 14% · guest 86%54:00 · Harry 14% · guest 86%57:00 · Harry 24.5% · guest 75.5%57:00 · Harry 24.5% · guest 75.5%1:00:00 · Harry 25.4% · guest 74.6%1:00:00 · Harry 25.4% · guest 74.6%1:03:00 · Harry 41.8% · guest 58.2%1:03:00 · Harry 41.8% · guest 58.2%1:06:00 · Harry 31.6% · guest 68.4%1:06:00 · Harry 31.6% · guest 68.4%1:09:00 · Harry 19% · guest 81%1:09:00 · Harry 19% · guest 81%1:12:00 · Harry 11.2% · guest 88.8%1:12:00 · Harry 11.2% · guest 88.8%1:15:00 · Harry 83.8% · guest 16.2%1:15:00 · Harry 83.8% · guest 16.2%1:18:00 · Harry 100% · guest 0%1:18:00 · Harry 100% · guest 0%
Sharpest disagreement ▶ 21:35 Rejecting conventional outbound wisdom

Kyle firmly dismisses standard industry assumptions regarding low-ACV outbound sales, arguing that people reason by analogy instead of analyzing first principles.

Hardest push from Harry ▶ 18:04 Harry challenges scripted sales training

Harry directly pushes back against Kyle's highly structured training modules and scripts, bluntly asking if they are just hiring monkeys.

Biggest teaching moment ▶ 22:00 Data enrichment transforming connect economics

Kyle educates Harry on how mobile phone data enrichment boosted decision-maker connect rates from 3 percent to 16 percent, making low-ACV outbound sales viable.

Harry holds his own ▶ 1:06:08 Harry's homemade bolognese execution analogy

Harry articulates a detailed analogy comparing pre-packaged pasta sauce to scratch-made pasta to demonstrate why operational execution matters far more than sharing tactical playbooks.

the scores for every segment, with the reasoning behind each
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
Welcome and Pre-Interview Catch-Up with Kyle Norton 2511 Harry welcomes Kyle and asks how his time at Shopify shaped his view of sales leadership. Kyle explains how product knowledge and systems engineering frameworks like Teresa Torres' opportunity solution tree transformed his leadership approach.
Sourcing Strategy and Founder Involvement in Sales Playbooks 3622 Harry asks whether founders must build the initial sales playbook and how sales leaders should handle sourcing. Kyle reframes sourcing as a non-negotiable core task for revenue leaders rather than something to delegate to talent teams.
The Candidate Scorecard Framework and Hiring Red Flags 2612 Kyle details his candidate scorecard framework across DNA, craft, and specific knowledge. Harry probes into early hiring mistakes, and Kyle explains why he fires quickly on culture alignment issues.
Building a High-Impact Sales Onboarding and Training Program 4735 Harry challenges Kyle's heavy reliance on rigid scripting and LMS modules, asking if they are just hiring monkeys. Kyle counters that scripting offloads lower-level cognitive load so reps can focus on higher-order deal dynamics.
Making Outbound Economics Work for Low-ACV SMB Accounts 5734 Harry cites traditional enterprise benchmarks to question outbound viability on low $8k-$9k ACVs. Kyle rejects reasoning by analogy and shows how mobile phone data enrichment increased connect rates from 3 percent to 16 percent.
AE vs. BDR Roles, Incentive Compensation, and P&L Mastery 5735 Harry questions whether low BDR pay yields poor quality and asks about gamification risks. Kyle explains machine learning comp models tied to estimated gross payment volume and emphasizes revenue leaders mastering their P and L cell by cell.
Founder-Led Organic Media as a Long-Term Growth Engine 3511 Kyle shares how Founder Adam's early, multi-million dollar bet on YouTube organic content created a compounding demand engine. Harry concurs on the value of early channel conviction.
Radically Transparent Selling and Automated Targeting Models 5735 Kyle outlines radically transparent selling where reps lead with product weaknesses to build trust. Harry presses on why competitors like Olo are formatted differently and asks if Owner faces pressure to move upmarket.
RevOps Automation, Onboarding Quality, and LATAM Operations 6624 Harry brings up his investment in Pavlov and challenges the margin cost of high-touch launch specialists for $500 monthly contracts. Kyle explains how LATAM team integration and scoring models make the economics work.
Scaling Leadership, Rep Engagement Frameworks, and AI Strategy 5734 Harry cites Jason Lemkin regarding work ethic and asks if pure money motivation works. Kyle explains why money-only sellers make him nervous, breaks down his CRAMPS engagement framework, and pushes for dedicated AI roles.
The Future of Sales AI, Moats, and Owner's Long-Term Vision 6622 Harry shares his podcasting outbound strategy and uses a Trader Joe's vs homemade bolognese analogy to illustrate operational moats. Kyle agrees that execution is the ultimate moat when sharing playbooks publicly.

Statements from this episode (39)

Insight
Norton: Building a great GTM organization is mostly systems engineering
“So much of building a great go to market organization is systems engineering.”
Kyle Norton May 30, 2025 ▶ 4:30
Insight
Norton: Revenue leaders fail by solving problems surface-level and reasoning by analogy
“I think one of the biggest challenges that revenue leaders have is we solve things at a surface level. And oftentimes we just like reason by analogy.”
Kyle Norton May 30, 2025 ▶ 5:09
Insight
Norton: Sourcing Talent Must Be a Core Responsibility for Revenue Leaders
“Revenue leaders need to see this as one of the most core components of their job. Oftentimes they look at this as the realm of TA, and it's the talent team's job to bring them candidates. Let's post jobs, we'll put it on a bunch of boards, and then we'll see w…”
Kyle Norton May 30, 2025 ▶ 6:32
Assertion Not checkable as stated
Norton: Early Owner Job Posts Generated 1,200 Applications via Personal Brand
“In the early days of owner, I could post a role We would get 1200 applications. We would get 60 to a 100,000 impressions on every single job post I put up”
Kyle Norton May 30, 2025 ▶ 7:11
Insight
Founders cannot outsource the initial sales playbook to a VP
“I firmly believe so. I don't think you can outsource that to a new VP of sales from the outside. I mean, I hear you talk about this all the time. I hear the range of opinions, but unless a founder can do that, I don't think that they're going to understand the…”
Kyle Norton May 30, 2025 ▶ 8:41
Insight
SMB sales hiring should weigh 70% to 80% on intrinsic DNA
“I'm hiring SMB reps, so I'm like, 70% DNA and mindset. I just want people who have a professional Performance track record of excellence, and I don't care if it was sales or the valedictorian, captain of a sports team, first chair tuba at their, like, you know…”
Kyle Norton May 30, 2025 ▶ 12:25
Insight
Norton: Candidate hesitation on direct manager references is a massive red flag
“And now really pressing on, like, no, no, no, I need your last two direct managers. Maybe not the one they work for now, for obvious reasons, but being really specific there, and if there's any hesitation, or oh, well, like, I don't know if I can get in touch …”
Kyle Norton May 30, 2025 ▶ 13:57
Insight
Norton: Bad behavior during employee onboarding only worsens over time
“If you're already treating this person, you're like supposed to be in your best behavior in weeks, you know, in the early weeks and months, and if that's how that person acts today, then it's only going to be worse later.”
Kyle Norton May 30, 2025 ▶ 15:18
Insight
Scripting sales basics offloads cognitive load for higher-level tactics
“Scripting the basics enables you to offload that cognitive work. If I'm just thinking about where to take this call next, and I don't have a pattern that I've repeated all of these different times, I'm spending all of my cognitive load on low-level stuff.”
Kyle Norton May 30, 2025 ▶ 18:21
Opinion
Norton: Staff software engineers do not need in-office work
“I don't think you need your staff software engineers in an office to do their job well.”
Kyle Norton May 30, 2025 ▶ 20:02
Assertion Supported
Owner requires new SDRs and BDRs in-office five days a week
“All of our new SDR and BDR hires are five days a week in office in Toronto now.”
Kyle Norton May 30, 2025 ▶ 20:10
Assertion Not checkable as stated
Owner's in-person sales reps broke company records for EMRR sourced
“The two new ones broke the record for first month, the newest BDR in person broke the record for first month, and then the SDRs that are at month two and three both broke the previous records. This is the purely in-person team.”
Kyle Norton May 30, 2025 ▶ 20:28
Disclosure
Owner.com gets 95% of SMB leads mobile-enriched via Data Lane
“Now we also use this company called data lane. They're like zoom info for SMB essentially. And through data lane, we get 95% of our leads mobile enriched.”
Kyle Norton May 30, 2025 ▶ 22:08
Disclosure
Mobile-enriched leads drive a 13% to 16% decision-maker connect rate
“But now our call to DMC is like, 13 to 16%.”
Kyle Norton May 30, 2025 ▶ 22:45
Disclosure
Owner.com shifts revenue mix from 70% outbound to 60% inbound
“When I started, we were 90% inbound, and then at some point we were 70% outbound. And then we hired a new head of growth who's done an amazing job, and now we're 60% new inbound”
Kyle Norton May 30, 2025 ▶ 23:17
Insight
Hire top BDRs from second- or third-place market competitors
“Go to a company that's not number one in their category. Who's the number one BDR at a second and third place company? Cause that's hard. And if you have a great product and you bring that person into your environment, they'll do really, really well.”
Kyle Norton May 30, 2025 ▶ 24:40
Disclosure
Owner.com targets four booked demos per AE daily
“We aim to have roughly four demos booked per AE per day with three held.”
Kyle Norton May 30, 2025 ▶ 25:47
Disclosure
Owner pays BDRs on closed deals and AEs on successful go-lives
“Our BDRs only get paid on close one business. Alignment. Our account executives only get paid when their customers go live.”
Kyle Norton May 30, 2025 ▶ 28:26
Assertion Not checkable as stated
Adding transaction volume estimates to sales comp boosted Owner's MRR per deal
“When we changed comp to include EGBV, which means they are going to be more focused on the higher value customers for the business, our estimated MRR on a per deal basis went up pretty significantly.”
Kyle Norton May 30, 2025 ▶ 29:30
Disclosure
Inbound account executives at Owner close $250,000 in ARR every month
“Our inbound account executives close 250 K ARR every month.”
Kyle Norton May 30, 2025 ▶ 30:09
Disclosure
Owner.com runs a 2:1 BDR-to-AE ratio in outbound sales
“On the outbound side, we have two BDRs for every account executive.”
Kyle Norton May 30, 2025 ▶ 30:25
Opinion
Most revenue leaders do not understand their own P&L
“They don't even understand it. They don't know where to start. They think it's the domain of finance, and finance gives them a headcount number, and they say, you have 17 reps, and you have to do this, and they say, okay.”
Kyle Norton May 30, 2025 ▶ 30:57
Disclosure
Owner spent millions on an organic YouTube strategy that drove few leads
“We hired people that manage The YouTube experience for like the biggest creators in the entire world. And we were paying millions of dollars for this organic strategy when it was driving like a handful of leads every single month.”
Kyle Norton May 30, 2025 ▶ 33:06
Insight
Debating sales vs. marketing lead attribution leads to local maximas
“This is something that a lot of folks get wrong as they like squabble over attribution. They're like, oh, this is sales generated. This is marketing generated. And you end up at these local maximas.”
Kyle Norton May 30, 2025 ▶ 34:21
Disclosure
Owner.com tested Connected TV ads on Amazon Prime without success
“We just tried CTV and didn't have a ton of success with it. Connected TV. So running pre-roll ads on Amazon Prime or the, like, set-top boxes.”
Kyle Norton May 30, 2025 ▶ 35:01
Assertion Supported
Owner's average sales cycle is under one week
“A lot of one call closes, but average sales cycles under a week.”
Kyle Norton May 30, 2025 ▶ 35:41
Insight
Norton: Time to lose drags on sales cycles more than time to win
“And the thing That drags on your total sales cycles is actually time to lose more often than it is time to win.”
Kyle Norton May 30, 2025 ▶ 37:35
Disclosure
Owner does not conduct traditional pipeline or deal reviews
“So we don't do pipeline review. We don't do deal review because you can just see it on a dashboard. It's all programmatic.”
Kyle Norton May 30, 2025 ▶ 39:43
Assertion Not checkable as stated
Norton: Owner reps are 3-4x more productive than field sales competitors
“And our competitors who run that model, we're anywhere between like three and four times more productive on a per rep basis than most companies.”
Kyle Norton May 30, 2025 ▶ 45:23
Assertion Supported
Owner scaled from $2.5M to $40M ARR in under three years
“We're at, like, 40 today. Under under three years.”
Kyle Norton May 30, 2025 ▶ 45:57
Assertion Not checkable as stated
Owner's customer acquisition costs are falling rapidly as it scales
“It's falling pretty rapidly for us. We're getting more and more efficient as we grow, but we've also made tremendous investments upfront.”
Kyle Norton May 30, 2025 ▶ 46:40
Assertion Supported
Owner uses Momentum to automate Salesforce field entry from call transcripts
“So we use Momentum that looks at the transcript of every single sales call, and it fills in the Salesforce fields for the rep. It fills in their opportunity record, it updates the account, the person, it says whether or not the event was run or not, all of tha…”
Kyle Norton May 30, 2025 ▶ 47:22
Assertion Not checkable as stated
Owner's LATAM onboarding specialists complete over 20 launches monthly per person
“They do a lot of launches every month on a per person basis. Over 20 per person. Plus they're Latin American based.”
Kyle Norton May 30, 2025 ▶ 50:25
Insight
Sales leaders should directly test new sales ideas on calls themselves
“The best way to figure out if they work is just doing myself.”
Kyle Norton May 30, 2025 ▶ 53:15
Disclosure
Owner.com finds more sales hiring success with 2-4 years experience
“We haven't had as much success hiring senior reps, like reps with a whole bunch of experience. We've actually had more success hiring people In like a two to four year experience range.”
Kyle Norton May 30, 2025 ▶ 58:12
Prediction Open · timeframe May 2030
BDRs will not perform manual lead research in five years
“Account research, lead prep, lead research, figuring out who to call. I think it's insane that companies do that today, that they have BDRs doing manual lead research.”
Kyle Norton May 30, 2025 ▶ 1:02:12
Assertion Supported
Norton: BDRs waste 30-50% of time on manual data research
“If you look at most BDR teams, like, 30 to 50% of their time is just Flush down the toilet with work that a data ops team should be doing for them.”
Kyle Norton May 30, 2025 ▶ 1:02:21
Opinion
Norton: Toast has exceptional GTM execution and customer practices
“I have a lot of respect for Toast. Good product craft. Their GTM execution is really good. They operate in a pretty, like, respectful way, too. Like, we don't find Toast doing shenanigans to their customers.”
Kyle Norton May 30, 2025 ▶ 1:08:21
Prediction Open · timeframe May 2030
AI will increase demand for sales reps by spawning new companies
“And I think AI is going to drive so much more company creation that there will be a consistent demand For these roles, because the economics of the roles get better. There's more companies that need sales reps.”
Kyle Norton May 30, 2025 ▶ 1:13:15
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