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Segment

by Rob Heiservia Nathan Latka Podcast
See all SaaS companies using partnerships
Growthpartnerships
Pricingusage-based
The Spark

Rob Heiser saw a fundamental problem in banking: transaction data was incomprehensible. Bank statements were filled with cryptic merchant codes and abbreviations that neither customers nor banks could easily interpret. A string like "WDW_CRO_REF" meant nothing at first glance, but it actually told a detailed story—a Walt Disney World vacation club member, someone who values experiences and has disposable income. Heiser realized this data, when properly decoded, could unlock valuable insights about customer behavior, needs, and financial health.

Building the First Version

Segment took an unconventional approach: they assembled a team of library scientists, researchers, and engineers to build a rules engine powered by machine learning and artificial intelligence, but anchored in real human research. The company raised $30 million to build this infrastructure at scale. By October 2018, they had 12 banking customers. The product offered multiple tiers—from simple merchant cleansing (cleaning dirty transaction strings to show "Starbucks" and "Coffee Shop" with logos) all the way up to lifestyle analytics and automated customer messaging.

Finding the First Customers

Segment went to market through financial core system providers, which gave them direct access to regional and mid-market banks. They focused on institutions with under $100 billion in assets under management (AUM), a sweet spot where they could deliver outsized value. By the time of this interview (April 2020), they had grown to over 100 banks serving over 10 million customers combined. Their pricing model was elegant: 6-20 cents per customer per month depending on which products the bank purchased, with the average institution having about 120,000 depositors, resulting in contracts worth $72,000 to $288,000 annually.

What Worked (and What Didn't)

The partnership strategy through core system providers proved highly effective. Rather than competing directly with Chase or Bank of America, Segment owned the mid-market segment. By April 2020, the company had achieved near-breakeven status with "very little burn" and was on track to hit cashflow positive. They had doubled revenue year-over-year and were projecting 120-200% growth for the full year, despite COVID-19. Interestingly, the pandemic became an opportunity: Segment created a "Financial Health Vital Signs Report" identifying customers facing hardship (job loss, furloughs, unexpected expenses) so banks could proactively help them. This value-add was offered free as a service.

Where They Are Now

With 40 employees (18-20 on product and data teams), Segment had built a capital-efficient, high-growth business. Revenue had doubled year-over-year from the previous year, and the company was on track to exceed $10 million in ARR. The team expanded to offices in Kiva Falls and Denver, and Heiser emphasized that success came down to patience and relentlessness—everything takes longer than expected, but sustained focus compounds over time.

Why It Worked
  • Segment identified a genuine market inefficiency that banks desperately needed solved but couldn't build themselves, creating immediate value that justified premium pricing across a large addressable market.
  • By partnering with core banking system providers rather than competing directly with large banks, Segment gained distribution leverage that allowed them to penetrate the mid-market segment at scale without massive sales costs.
  • The usage-based pricing model aligned Segment's financial success directly with customer value delivery, making contracts worth $72k-$288k annually and creating predictable, scalable revenue from a fragmented customer base.
  • Building a specialized technical team combining library scientists, researchers, and engineers demonstrated that solving the right problem with the right expertise mattered more than following conventional SaaS playbooks.
How to Replicate
  • 1.Identify an operational pain point in a specific vertical where large incumbents cannot economically solve the problem themselves, then validate that potential customers will pay recurring fees to fix it.
  • 2.Map the ecosystem for your target segment and find distribution partners (system providers, platforms, resellers) who already have direct relationships with your ideal customers and incentives to offer complementary solutions.
  • 3.Structure pricing as a per-unit usage model tied to measurable customer outcomes rather than fixed tiers, ensuring predictable enterprise contract values while making expansion revenue automatic as customers scale.
  • 4.Deliberately target the mid-market or underserved segment within an industry rather than competing head-to-head with category leaders, focusing on institutions with $50B-$100B in assets or equivalent scale metrics.

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