Overview of Enterprise Sales Without Salespeople
On the SaaS Podcast, host Omer Khan interviews Rajiv Kaneja, co-founder and CEO of AdButler, about how the ad tech company grew from a side project into an eight-figure SaaS business with a team of roughly 20–25 people. Kaneja explains how product depth and inbound interest brought in enterprise customers, why AdButler avoids pushing long contracts, and how he expects AI to make software more tailored to each customer.
AdButler’s Product and Growth
AdButler provides neutral ad-serving technology that companies such as Costco, H-E-B, and The Home Depot use to manage advertising. Unlike platforms tied to ad buying and selling, AdButler supplies the software while its customers control their own ad sales and data.
Kaneja began building ad technology as a teenager while running Poll.com, a website-polling service. After DoubleClick quoted a price he considered too high, he built his own ad server. AdButler grew gradually for about a decade, mostly serving small businesses on low-cost monthly plans, while Kaneja focused on other ventures.
The dot-com crash sharply reduced online advertising revenue and taught him to build businesses around what customers would pay for. Around 2014–2015, as online advertising expanded and AdButler reached roughly seven figures in revenue, he began focusing more on the opportunity.
How Inbound Product Demos Won Enterprise Customers
In 2017, Costco contacted AdButler after finding it online and invited the company to respond to an ad-server RFP. AdButler had no enterprise experience, but Kaneja’s team completed the RFP and demonstrated the product in person. The demo convinced them that their software could serve large customers, and Costco remains a customer.
AdButler added an enterprise tier and contact form to its website. Its first several enterprise customers came inbound, and the sales process centered on showing the product. Kaneja describes the approach simply: “We show up with a laptop and a demo.”
The company’s advantages were a broad product built over many years and an engineering process that could turn customer requests into software quickly. AdButler aimed to meet most needs out of the box, then fill specific gaps on timelines that competitors could not match. It also positioned itself as an extension of customers’ in-house teams, with their engineers able to work directly with AdButler’s engineers.
Kaneja says AdButler does not push annual contracts or seek to extract every possible dollar from a deal. It is happy to offer month-to-month service, believing the product should earn customers’ loyalty. He says the company has had no churn among its enterprise customers.
Kaneja’s View of AI and the Future of SaaS
Kaneja argues that software companies need to adopt AI to stay competitive. He expects SaaS products to evolve from shared applications with configurable settings toward platforms with strong APIs or MCPs, paired with AI-generated interfaces and workflows tailored to each customer.
In this model, agents could create or revise customer-specific software as needs change, reducing the cost of bespoke experiences. Kaneja sees AI as changing the economics of software development: when code becomes inexpensive to generate and replace, highly customized interfaces become practical. He also cautions experienced developers not to let older assumptions about code reuse and maintenance constrain how they imagine this future.
Business Advice and Personal Notes
Kaneja’s key business lessons include:
- Price according to the value customers receive, rather than the cost or ease of building the product.
- Invest in great people, even when their compensation seems high.
- He recommends Good to Great by Jim Collins, citing its emphasis on people.
Outside work, Kaneja describes having ADHD and moving through intense hobby cycles. At the time of the interview, he was focused on a home renovation project involving a TV that could descend from an attic.