Early customer churn is often caused by technical friction like poor metadata or version control. DaaS vendors must take co-ownership of these integration challenges, as they directly waste the client's data science resources and prevent value realization, making the vendor accountable for adoption failure.

Basim Hamdi's initial "Construction Data Cloud" concept failed because the industry's 30-year-old legacy systems lacked APIs. This critical oversight forced a pivot to Robotic Process Automation (RPA) to extract data, which unexpectedly became the core of his successful business.

For incumbent software companies, an existing customer base is a double-edged sword. While it provides a distribution channel for new AI products, it also acts as "cement shoes." The technical debt and feature obligations to thousands of pre-AI customers can consume all engineering resources, preventing them from competing effectively with nimble, AI-native startups.

Instead of a broad launch, Everflow targeted only mobile affiliate networks—a small market they knew deeply from their previous company. This allowed them to build very specific, high-value features for that ICP, win deals, and establish a strong beachhead before expanding into larger, adjacent markets.

After success in the affiliate network niche, Everflow expanded to direct brands. They discovered this seemingly similar market had different user personas (under-resourced marketers vs. entire teams) and needs (e.g., payment automation). This required significant product adaptation rather than a simple market expansion.

To serve its largest customers, Square's open platform is crucial. It allows enterprises to integrate their preferred third-party tools with Square's core services. This flexibility prevents churn by allowing customers to customize their tech stack instead of being locked into a closed ecosystem.

Enterprises are comfortable buying services. Sell a service engagement first, powered by your technology on the back end, to get your foot in the door. This builds trust and bypasses procurement hurdles associated with new software. Later, you can transition them to a SaaS product model.

Don't just sell a product; become an indispensable part of your customer's workflow. By offering integrated products and services, you create a value ecosystem that locks out competitors and makes leaving an impractical and undesirable option.

Katera competes with giants like Zapier not by adding AI features, but by building on a fundamentally different, prompt-based architecture. Incumbents are stuck with legacy workflow infrastructure, making it difficult for them to truly embrace a native, agentic approach.