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Dec 18, 2020 · 20m · top-founders

AlgoPix Hits $2.4m Revenue Helping CPG Brands Monitor Competitors Pricing

Ori Greenberg · 9m spoken Nathan Latka · 8m spoken Frank Bien · 4s spoken Eric Yuan · 4s spoken Vivek Bhaskaran · 2s 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 interview, Nathan Latka speaks with Algopix CEO Ori Greenberg about how the e-commerce intelligence platform scaled to a $2.6 million annualized run rate by pivoting from SMB subscriptions to high-value enterprise contracts backed by a 70,000-merchant crowdsourced data engine.

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 45.8% of the talking time here. How this is scored →

Nathan as informed peer 5.7 Guest teaching 2.3 Guest disagreement 2.3 Nathan pushing back 4.5
05100:0010:0020:001:30–3:41 · Nathan as informed peer 5/10 Introducing Algopix and Proprietary Data Sourcing Strategy Nathan probes Algopix's claim of being the 'only place' for multi-platform market share data, asking why competitors cannot replicate it. Ori clarifies their unique advantage comes from aggregating transactional data from over 70,000 sellers rather than just scraping.3:41–6:38 · Nathan as informed peer 7/10 Strategic Transition from SMBs to High-Value Enterprise Accounts Nathan calculates Algopix's monthly revenue on the fly based on customer tiers and ARPU, earning praise from Ori for the real-time math. Nathan also probes how the company plans to transition thousands of paying SMBs to free tiers without backlash.6:38–8:59 · Nathan as informed peer 6/10 Tripling Annual Revenue and Capital Efficiency Roadmap Nathan evaluates Algopix's 300% year-over-year revenue expansion and capital efficiency on $3M raised. He presses Ori on why the company is waiting to raise capital during a prime e-commerce tailwind.8:59–13:58 · Nathan as informed peer 6/10 Team Composition and Founder-Led Enterprise Selling When Ori refuses to disclose his headcount citing competitive advantages, Nathan immediately checks the company's LinkedIn and cites the 17 listed employees. Nathan then drills into ICP definitions, outbound prospecting filters, and sales rep pod structures.13:58–18:16 · Nathan as informed peer 8/10 Analyzing Revenue Churn, Customer Acquisition Cost, and Rep Quotas Nathan challenges Ori for claiming zero gross revenue churn while concurrently discarding $100k in monthly SMB revenue, telling him he cannot have it both ways. Nathan also challenges Ori's assumption that first-time sales hires will outsell the founder.18:16–19:38 · Nathan as informed peer 2/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering favorite business books, CEOs, tools, sleep, and advice to a 20-year-old self.1:30–3:41 · Guest teaching 4/10 Introducing Algopix and Proprietary Data Sourcing Strategy Nathan probes Algopix's claim of being the 'only place' for multi-platform market share data, asking why competitors cannot replicate it. Ori clarifies their unique advantage comes from aggregating transactional data from over 70,000 sellers rather than just scraping.3:41–6:38 · Guest teaching 2/10 Strategic Transition from SMBs to High-Value Enterprise Accounts Nathan calculates Algopix's monthly revenue on the fly based on customer tiers and ARPU, earning praise from Ori for the real-time math. Nathan also probes how the company plans to transition thousands of paying SMBs to free tiers without backlash.6:38–8:59 · Guest teaching 2/10 Tripling Annual Revenue and Capital Efficiency Roadmap Nathan evaluates Algopix's 300% year-over-year revenue expansion and capital efficiency on $3M raised. He presses Ori on why the company is waiting to raise capital during a prime e-commerce tailwind.8:59–13:58 · Guest teaching 3/10 Team Composition and Founder-Led Enterprise Selling When Ori refuses to disclose his headcount citing competitive advantages, Nathan immediately checks the company's LinkedIn and cites the 17 listed employees. Nathan then drills into ICP definitions, outbound prospecting filters, and sales rep pod structures.13:58–18:16 · Guest teaching 2/10 Analyzing Revenue Churn, Customer Acquisition Cost, and Rep Quotas Nathan challenges Ori for claiming zero gross revenue churn while concurrently discarding $100k in monthly SMB revenue, telling him he cannot have it both ways. Nathan also challenges Ori's assumption that first-time sales hires will outsell the founder.18:16–19:38 · Guest teaching 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering favorite business books, CEOs, tools, sleep, and advice to a 20-year-old self.1:30–3:41 · Guest disagreement 2/10 Introducing Algopix and Proprietary Data Sourcing Strategy Nathan probes Algopix's claim of being the 'only place' for multi-platform market share data, asking why competitors cannot replicate it. Ori clarifies their unique advantage comes from aggregating transactional data from over 70,000 sellers rather than just scraping.3:41–6:38 · Guest disagreement 1/10 Strategic Transition from SMBs to High-Value Enterprise Accounts Nathan calculates Algopix's monthly revenue on the fly based on customer tiers and ARPU, earning praise from Ori for the real-time math. Nathan also probes how the company plans to transition thousands of paying SMBs to free tiers without backlash.6:38–8:59 · Guest disagreement 2/10 Tripling Annual Revenue and Capital Efficiency Roadmap Nathan evaluates Algopix's 300% year-over-year revenue expansion and capital efficiency on $3M raised. He presses Ori on why the company is waiting to raise capital during a prime e-commerce tailwind.8:59–13:58 · Guest disagreement 4/10 Team Composition and Founder-Led Enterprise Selling When Ori refuses to disclose his headcount citing competitive advantages, Nathan immediately checks the company's LinkedIn and cites the 17 listed employees. Nathan then drills into ICP definitions, outbound prospecting filters, and sales rep pod structures.13:58–18:16 · Guest disagreement 5/10 Analyzing Revenue Churn, Customer Acquisition Cost, and Rep Quotas Nathan challenges Ori for claiming zero gross revenue churn while concurrently discarding $100k in monthly SMB revenue, telling him he cannot have it both ways. Nathan also challenges Ori's assumption that first-time sales hires will outsell the founder.18:16–19:38 · Guest disagreement 0/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering favorite business books, CEOs, tools, sleep, and advice to a 20-year-old self.1:30–3:41 · Nathan pushing back 4/10 Introducing Algopix and Proprietary Data Sourcing Strategy Nathan probes Algopix's claim of being the 'only place' for multi-platform market share data, asking why competitors cannot replicate it. Ori clarifies their unique advantage comes from aggregating transactional data from over 70,000 sellers rather than just scraping.3:41–6:38 · Nathan pushing back 3/10 Strategic Transition from SMBs to High-Value Enterprise Accounts Nathan calculates Algopix's monthly revenue on the fly based on customer tiers and ARPU, earning praise from Ori for the real-time math. Nathan also probes how the company plans to transition thousands of paying SMBs to free tiers without backlash.6:38–8:59 · Nathan pushing back 4/10 Tripling Annual Revenue and Capital Efficiency Roadmap Nathan evaluates Algopix's 300% year-over-year revenue expansion and capital efficiency on $3M raised. He presses Ori on why the company is waiting to raise capital during a prime e-commerce tailwind.8:59–13:58 · Nathan pushing back 7/10 Team Composition and Founder-Led Enterprise Selling When Ori refuses to disclose his headcount citing competitive advantages, Nathan immediately checks the company's LinkedIn and cites the 17 listed employees. Nathan then drills into ICP definitions, outbound prospecting filters, and sales rep pod structures.13:58–18:16 · Nathan pushing back 8/10 Analyzing Revenue Churn, Customer Acquisition Cost, and Rep Quotas Nathan challenges Ori for claiming zero gross revenue churn while concurrently discarding $100k in monthly SMB revenue, telling him he cannot have it both ways. Nathan also challenges Ori's assumption that first-time sales hires will outsell the founder.18:16–19:38 · Nathan pushing back 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the standard Famous Five rapid-fire questions covering favorite business books, CEOs, tools, sleep, and advice to a 20-year-old self.

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

0:00 · Nathan 69.6% · guest 30.4%0:00 · Nathan 69.6% · guest 30.4%3:00 · Nathan 38.5% · guest 61.5%3:00 · Nathan 38.5% · guest 61.5%6:00 · Nathan 51.5% · guest 48.5%6:00 · Nathan 51.5% · guest 48.5%9:00 · Nathan 40.2% · guest 59.8%9:00 · Nathan 40.2% · guest 59.8%12:00 · Nathan 38.2% · guest 61.8%12:00 · Nathan 38.2% · guest 61.8%15:00 · Nathan 39.5% · guest 60.5%15:00 · Nathan 39.5% · guest 60.5%18:00 · Nathan 40.9% · guest 59.1%18:00 · Nathan 40.9% · guest 59.1%
Sharpest disagreement ▶ 14:33 Ori rejects counting SMB phaseout as revenue churn

Ori insists that phasing out SMB accounts should not count as churn for valuation purposes, resisting Nathan's premise that abandoning paying customer revenue constitutes gross churn.

 Hardest push from Nathan ▶ 14:49 Nathan calls out contradictory revenue and churn figures

Nathan directly halts Ori, stating he cannot claim zero churn while simultaneously including the $100k/month SMB base in his total monthly revenue.

 Biggest teaching moment ▶ 12:32 Ori explains why CROs cannot yet buy Algopix data

Ori educates Nathan on enterprise buyer personas, explaining that category managers need market share insights whereas CROs require marketing attribution links Algopix does not yet provide.

 Nathan holds their own ▶ 9:25 Nathan pulls public LinkedIn data to counter headcount secrecy

When Ori declines to share team size citing competitive edge, Nathan brings up Algopix's public LinkedIn profile showing 17 employees, forcing Ori to concede the number.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Introducing Algopix and Proprietary Data Sourcing Strategy 5424 Nathan probes Algopix's claim of being the 'only place' for multi-platform market share data, asking why competitors cannot replicate it. Ori clarifies their unique advantage comes from aggregating transactional data from over 70,000 sellers rather than just scraping.
Strategic Transition from SMBs to High-Value Enterprise Accounts 7213 Nathan calculates Algopix's monthly revenue on the fly based on customer tiers and ARPU, earning praise from Ori for the real-time math. Nathan also probes how the company plans to transition thousands of paying SMBs to free tiers without backlash.
Tripling Annual Revenue and Capital Efficiency Roadmap 6224 Nathan evaluates Algopix's 300% year-over-year revenue expansion and capital efficiency on $3M raised. He presses Ori on why the company is waiting to raise capital during a prime e-commerce tailwind.
Team Composition and Founder-Led Enterprise Selling 6347 When Ori refuses to disclose his headcount citing competitive advantages, Nathan immediately checks the company's LinkedIn and cites the 17 listed employees. Nathan then drills into ICP definitions, outbound prospecting filters, and sales rep pod structures.
Analyzing Revenue Churn, Customer Acquisition Cost, and Rep Quotas 8258 Nathan challenges Ori for claiming zero gross revenue churn while concurrently discarding $100k in monthly SMB revenue, telling him he cannot have it both ways. Nathan also challenges Ori's assumption that first-time sales hires will outsell the founder.
The Famous Five Rapid-Fire Questions 2101 Nathan runs through the standard Famous Five rapid-fire questions covering favorite business books, CEOs, tools, sleep, and advice to a 20-year-old self.

Statements from this episode (14)

Assertion Not checkable as stated
Greenberg: Algopix is the only provider of multi-marketplace transactional market share data
“We're actually the only ones who provide market share insights into sales that occur on amazon.com as well as Walmart, eBay, Google Shopping, etc. There are other players that do only one of these platforms, usually it's Amazon, and they're basing their data o…”
Ori Greenberg Dec 18, 2020 ▶ 2:08
Assertion Not checkable as stated
Greenberg: Over 70,000 sellers share data with Algopix for free tools
“So we support more than 70,000 brands and online sellers that share data with us in return for using free e-commerce tools.”
Ori Greenberg Dec 18, 2020 ▶ 2:41
Disclosure
Greenberg: Google Shopping, Facebook Marketplace, and Walmart are Algopix customers
“So it would be the CPG brands as well as the marketplaces themselves. We have customers like Google shopping, Facebook's marketplace, Walmart. So both.”
Ori Greenberg Dec 18, 2020 ▶ 3:28
Assertion Not checkable as stated
Greenberg: Algopix has roughly 5,000 SMB customers while pivoting upmarket
“We have probably about 5000 SMBs that we're walking away from that business model.”
Ori Greenberg Dec 18, 2020 ▶ 4:22
Assertion Not checkable as stated
Greenberg: Algopix has around two dozen mid-sized clients paying $1k/month
“Probably about a couple of dozens of mid-sized companies paying probably a thousand dollars a month on average.”
Ori Greenberg Dec 18, 2020 ▶ 4:31
Assertion Not checkable as stated
Greenberg: Algopix has about a dozen six- to seven-figure enterprise clients
“Probably about a dozen.”
Ori Greenberg Dec 18, 2020 ▶ 4:52
Assertion Not checkable as stated
Greenberg: Less than 40% of Algopix's monthly revenue comes from SMBs
“Less than less than 40%.”
Ori Greenberg Dec 18, 2020 ▶ 6:14
Assertion Not checkable as stated
Greenberg: Algopix grew revenue by about 300% over the past year
“We grew about 300% last year.”
Ori Greenberg Dec 18, 2020 ▶ 7:10
Disclosure
Greenberg: Algopix plans to stop supporting medium-sized businesses by end of 2021
“The enterprise deals are the biggest growth engine where I believe that by the end of 2021 will stop supporting the medium sized businesses.”
Ori Greenberg Dec 18, 2020 ▶ 7:38
Disclosure
Greenberg: Algopix plans to raise capital in Q2 2021
“No, we plan on raising funds in Q two, 20, 21.”
Ori Greenberg Dec 18, 2020 ▶ 8:38
Assertion Not checkable as stated
Algopix has product-market fit in marketplaces, but not yet CPG
“We have a good product market fit in the marketplace segment, but we still need to finalize, kind of make sure we have a good product market fit on the brand and CPG space.”
Ori Greenberg Dec 18, 2020 ▶ 10:43
Assertion Not checkable as stated
Greenberg: Algopix targets an addressable market of 14,000 enterprise retail companies
“You charge six, seven figures, that, that should be their size. And the right categories, you know, retail, e-commerce, brick and mortar, whatever. It's about 14,000 companies. That's our market.”
Ori Greenberg Dec 18, 2020 ▶ 11:50
Assertion Not checkable as stated
Greenberg: Algopix sees zero churn among enterprise customers
“Oh, we don't see any churn at all. For the enterprise customers, which is the focus, I mean, they continue building features and capabilities over our engine, so I'm not concerned about churn.”
Ori Greenberg Dec 18, 2020 ▶ 14:06
Insight
Latka: First sales hires almost never outsell the founder
“A lot of founders make the first sales hire, they make the assumption that that first sales hire should sell more than the founder, and it's almost never the case, because the founder knows the product, the founder has an unfair advantage, because customers al…”
Nathan Latka Dec 18, 2020 ▶ 17:09
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