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Jun 15, 2017 · 28m · top-founders

691: King of Amazon Pricing Raises $33M, Helping 500 Sellers Make More Money

Victor Rosenman · 12m spoken Nathan Latka · 11m spoken
0:00 / 0:00

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Feedvisor founder and CEO Victor Rosenman joins Nathan Latka to break down how his AI-powered dynamic pricing and marketplace decision platform scaled to $1.2M in MRR, raised $33M in venture funding, and serves over 500 high-volume enterprise Amazon sellers.

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 47.3% of the talking time here. How this is scored →

Nathan as informed peer 5.8 Guest teaching 3.2 Guest disagreement 2.3 Nathan pushing back 4.5
05100:0010:0020:000:47–4:56 · Nathan as informed peer 6/10 Introducing Feedvisor and Algorithmic Marketplace Optimization Nathan repeatedly refuses Victor's NDA brush-off by citing specific customer names and performance percentages directly from Feedvisor's website. Victor explains how marketplace algorithmic pricing behaves like stock market decision-making to clarify their value proposition.4:56–7:39 · Nathan as informed peer 6/10 Feedvisor's SaaS Pricing Model and Revenue Share Nathan breaks down the revenue structure, probing whether clients can bypass the revenue share. Victor clarifies that speed and algorithmic precision prevent manual workarounds, leading Nathan to categorize the business definitively as SaaS.7:39–13:25 · Nathan as informed peer 6/10 Bootstrapping, Seed Funding, and E-commerce Seasonality Lessons Nathan digs into fundraising instruments, equity dilution, and series B valuation benchmarks. Victor shares an educational anecdote about learning e-commerce seasonality the hard way when rev-share revenue plummeted in Q1 following Q4 holiday peaks.13:25–18:50 · Nathan as informed peer 7/10 Scaling Metrics: Headcount, MRR, Low Churn, and Market Expansion Nathan models monthly recurring revenue on the fly by multiplying customer count by base ARPU and presses on net negative churn expansion. Victor explains why over-extracting from existing customers is suboptimal compared to capturing a larger slice of the 20,000 top Amazon sellers.18:51–22:44 · Nathan as informed peer 7/10 Content Marketing Strategy and Customer Economics Nathan guides the discussion into standard SaaS unit economics, calculating LTV and establishing a target sub-12-month CAC payback period based on Victor's annual contract value estimates.22:45–26:03 · Nathan as informed peer 3/10 Sponsor Announcement: Hotjar Website Analytics Following a sponsor read, Nathan moves through the Famous Five rapid-fire questions, lightly nudging Victor to answer the reflection prompt rather than deflecting.0:47–4:56 · Guest teaching 4/10 Introducing Feedvisor and Algorithmic Marketplace Optimization Nathan repeatedly refuses Victor's NDA brush-off by citing specific customer names and performance percentages directly from Feedvisor's website. Victor explains how marketplace algorithmic pricing behaves like stock market decision-making to clarify their value proposition.4:56–7:39 · Guest teaching 3/10 Feedvisor's SaaS Pricing Model and Revenue Share Nathan breaks down the revenue structure, probing whether clients can bypass the revenue share. Victor clarifies that speed and algorithmic precision prevent manual workarounds, leading Nathan to categorize the business definitively as SaaS.7:39–13:25 · Guest teaching 5/10 Bootstrapping, Seed Funding, and E-commerce Seasonality Lessons Nathan digs into fundraising instruments, equity dilution, and series B valuation benchmarks. Victor shares an educational anecdote about learning e-commerce seasonality the hard way when rev-share revenue plummeted in Q1 following Q4 holiday peaks.13:25–18:50 · Guest teaching 4/10 Scaling Metrics: Headcount, MRR, Low Churn, and Market Expansion Nathan models monthly recurring revenue on the fly by multiplying customer count by base ARPU and presses on net negative churn expansion. Victor explains why over-extracting from existing customers is suboptimal compared to capturing a larger slice of the 20,000 top Amazon sellers.18:51–22:44 · Guest teaching 2/10 Content Marketing Strategy and Customer Economics Nathan guides the discussion into standard SaaS unit economics, calculating LTV and establishing a target sub-12-month CAC payback period based on Victor's annual contract value estimates.22:45–26:03 · Guest teaching 1/10 Sponsor Announcement: Hotjar Website Analytics Following a sponsor read, Nathan moves through the Famous Five rapid-fire questions, lightly nudging Victor to answer the reflection prompt rather than deflecting.0:47–4:56 · Guest disagreement 4/10 Introducing Feedvisor and Algorithmic Marketplace Optimization Nathan repeatedly refuses Victor's NDA brush-off by citing specific customer names and performance percentages directly from Feedvisor's website. Victor explains how marketplace algorithmic pricing behaves like stock market decision-making to clarify their value proposition.4:56–7:39 · Guest disagreement 2/10 Feedvisor's SaaS Pricing Model and Revenue Share Nathan breaks down the revenue structure, probing whether clients can bypass the revenue share. Victor clarifies that speed and algorithmic precision prevent manual workarounds, leading Nathan to categorize the business definitively as SaaS.7:39–13:25 · Guest disagreement 2/10 Bootstrapping, Seed Funding, and E-commerce Seasonality Lessons Nathan digs into fundraising instruments, equity dilution, and series B valuation benchmarks. Victor shares an educational anecdote about learning e-commerce seasonality the hard way when rev-share revenue plummeted in Q1 following Q4 holiday peaks.13:25–18:50 · Guest disagreement 3/10 Scaling Metrics: Headcount, MRR, Low Churn, and Market Expansion Nathan models monthly recurring revenue on the fly by multiplying customer count by base ARPU and presses on net negative churn expansion. Victor explains why over-extracting from existing customers is suboptimal compared to capturing a larger slice of the 20,000 top Amazon sellers.18:51–22:44 · Guest disagreement 1/10 Content Marketing Strategy and Customer Economics Nathan guides the discussion into standard SaaS unit economics, calculating LTV and establishing a target sub-12-month CAC payback period based on Victor's annual contract value estimates.22:45–26:03 · Guest disagreement 2/10 Sponsor Announcement: Hotjar Website Analytics Following a sponsor read, Nathan moves through the Famous Five rapid-fire questions, lightly nudging Victor to answer the reflection prompt rather than deflecting.0:47–4:56 · Nathan pushing back 7/10 Introducing Feedvisor and Algorithmic Marketplace Optimization Nathan repeatedly refuses Victor's NDA brush-off by citing specific customer names and performance percentages directly from Feedvisor's website. Victor explains how marketplace algorithmic pricing behaves like stock market decision-making to clarify their value proposition.4:56–7:39 · Nathan pushing back 5/10 Feedvisor's SaaS Pricing Model and Revenue Share Nathan breaks down the revenue structure, probing whether clients can bypass the revenue share. Victor clarifies that speed and algorithmic precision prevent manual workarounds, leading Nathan to categorize the business definitively as SaaS.7:39–13:25 · Nathan pushing back 4/10 Bootstrapping, Seed Funding, and E-commerce Seasonality Lessons Nathan digs into fundraising instruments, equity dilution, and series B valuation benchmarks. Victor shares an educational anecdote about learning e-commerce seasonality the hard way when rev-share revenue plummeted in Q1 following Q4 holiday peaks.13:25–18:50 · Nathan pushing back 5/10 Scaling Metrics: Headcount, MRR, Low Churn, and Market Expansion Nathan models monthly recurring revenue on the fly by multiplying customer count by base ARPU and presses on net negative churn expansion. Victor explains why over-extracting from existing customers is suboptimal compared to capturing a larger slice of the 20,000 top Amazon sellers.18:51–22:44 · Nathan pushing back 3/10 Content Marketing Strategy and Customer Economics Nathan guides the discussion into standard SaaS unit economics, calculating LTV and establishing a target sub-12-month CAC payback period based on Victor's annual contract value estimates.22:45–26:03 · Nathan pushing back 3/10 Sponsor Announcement: Hotjar Website Analytics Following a sponsor read, Nathan moves through the Famous Five rapid-fire questions, lightly nudging Victor to answer the reflection prompt rather than deflecting.

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

0:00 · Nathan 60.1% · guest 39.9%0:00 · Nathan 60.1% · guest 39.9%3:00 · Nathan 26.1% · guest 73.9%3:00 · Nathan 26.1% · guest 73.9%6:00 · Nathan 38.5% · guest 61.5%6:00 · Nathan 38.5% · guest 61.5%9:00 · Nathan 18.8% · guest 81.2%9:00 · Nathan 18.8% · guest 81.2%12:00 · Nathan 48.4% · guest 51.6%12:00 · Nathan 48.4% · guest 51.6%15:00 · Nathan 52.5% · guest 47.5%15:00 · Nathan 52.5% · guest 47.5%18:00 · Nathan 21.5% · guest 78.5%18:00 · Nathan 21.5% · guest 78.5%21:00 · Nathan 76.7% · guest 23.3%21:00 · Nathan 76.7% · guest 23.3%24:00 · Nathan 63.6% · guest 36.4%24:00 · Nathan 63.6% · guest 36.4%27:00 · Nathan 100% · guest 0%27:00 · Nathan 100% · guest 0%
Sharpest disagreement ▶ 15:28 Victor firmly shuts down high churn assumptions

Victor strongly rejects Nathan's comparison to SaaS companies churning 5% monthly, declaring flatly that no top venture capital firm like General Catalyst would ever invest in 그런 numbers.

 Hardest push from Nathan ▶ 2:15 Nathan counters NDA deflection with public site data

When Victor claims client confidentiality under NDAs prevents him from naming examples, Nathan instantly counters by reading published client names and percentage increases straight off Feedvisor's website.

 Biggest teaching moment ▶ 10:30 Victor explains e-commerce seasonality crash

Victor provides a candid breakdown of early startup naive forecasting, explaining how relying on pure revenue share during Q4 created a false growth signal before Q1 holiday drop-off corrected his revenue model.

 Nathan holds their own ▶ 14:05 Nathan performs real-time MRR derivation

Nathan demonstrates SaaS financial mastery by taking Victor's disclosed 500 customer count and 2,500 dollar monthly base fee to instantly deduce their approximate 1.2 million dollar MRR baseline.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Introducing Feedvisor and Algorithmic Marketplace Optimization 6447 Nathan repeatedly refuses Victor's NDA brush-off by citing specific customer names and performance percentages directly from Feedvisor's website. Victor explains how marketplace algorithmic pricing behaves like stock market decision-making to clarify their value proposition.
Feedvisor's SaaS Pricing Model and Revenue Share 6325 Nathan breaks down the revenue structure, probing whether clients can bypass the revenue share. Victor clarifies that speed and algorithmic precision prevent manual workarounds, leading Nathan to categorize the business definitively as SaaS.
Bootstrapping, Seed Funding, and E-commerce Seasonality Lessons 6524 Nathan digs into fundraising instruments, equity dilution, and series B valuation benchmarks. Victor shares an educational anecdote about learning e-commerce seasonality the hard way when rev-share revenue plummeted in Q1 following Q4 holiday peaks.
Scaling Metrics: Headcount, MRR, Low Churn, and Market Expansion 7435 Nathan models monthly recurring revenue on the fly by multiplying customer count by base ARPU and presses on net negative churn expansion. Victor explains why over-extracting from existing customers is suboptimal compared to capturing a larger slice of the 20,000 top Amazon sellers.
Content Marketing Strategy and Customer Economics 7213 Nathan guides the discussion into standard SaaS unit economics, calculating LTV and establishing a target sub-12-month CAC payback period based on Victor's annual contract value estimates.
Sponsor Announcement: Hotjar Website Analytics 3123 Following a sponsor read, Nathan moves through the Famous Five rapid-fire questions, lightly nudging Victor to answer the reflection prompt rather than deflecting.

Statements from this episode (11)

Insight
Rosenman: Selling on Amazon resembles stock market trading dynamics
“Selling on Amazon is not much different than stock market. So you have a lot of competition, and the competition changes prices, and the competition has certain amount of reviews and the ratings, and they have certain amount of items in stock. Everything impac…”
Victor Rosenman Jun 15, 2017 ▶ 4:01
Disclosure
Feedvisor charges an average base subscription fee of around $2,500 monthly
“It's around 2500.”
Victor Rosenman Jun 15, 2017 ▶ 5:36
Disclosure
Feedvisor takes an average 0.5% revenue share fee on volume
“Subscription plans on average, let's say about half percent.”
Victor Rosenman Jun 15, 2017 ▶ 7:18
Disclosure
Feedvisor generates the majority of revenue from fixed subscriptions
“Majority of our revenue is coming from the fixed revenue stream.”
Victor Rosenman Jun 15, 2017 ▶ 7:36
Opinion
Rosenman: Israel VC ecosystem is comparable to Silicon Valley and New York
“Israel has a very powerful VC ecosystem. Very powerful. So, so there's a lot of capital in Israel. It's not different than from any other place like Silicon Valley in New York.”
Victor Rosenman Jun 15, 2017 ▶ 9:12
Insight
Rosenman: Typical Series B valuations range between $60M and $150M
“Common valuation for series B would probably between 6150.”
Victor Rosenman Jun 15, 2017 ▶ 13:08
Disclosure
Feedvisor Serves 500 to 600 Enterprise Customers
“We have about five, 600 customers.”
Victor Rosenman Jun 15, 2017 ▶ 13:40
Opinion
Rosenman: SaaS Startups With 4–5% Monthly Churn Cannot Raise VC
“Getting five, four, five percent, you cannot get raised money from general capitalists. There's no way.”
Victor Rosenman Jun 15, 2017 ▶ 15:35
Assertion Not checkable as stated
Rosenman: Approximately 20,000 Large Businesses Sell on Amazon
“So you look at the Amazon, you see probably, I don't know, 20,000 large businesses that, that sell there.”
Victor Rosenman Jun 15, 2017 ▶ 18:30
Disclosure
Feedvisor targets customer acquisition payback within one year
“So, so the way we're looking into it is we're looking to actually follow the standard SAS metric and then return the customer within a year.”
Victor Rosenman Jun 15, 2017 ▶ 22:23
Disclosure
Rosenman would reject a $90M acquisition offer from Jeff Bezos
“No, no way.”
Victor Rosenman Jun 15, 2017 ▶ 24:24
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