Clearbit, a rapidly growing early-stage startup, faced significant challenges in building a flexible analytics stack for its API-first SaaS business model due to limited engineering resources and the complexity of managing data from multiple sources. Initially relying on pre-built analytics tools like Kissmetrics, Mixpanel, and ChartMogul, Clearbit quickly encountered limitations that necessitated a more robust solution. The company adopted a multi-provider approach using Segment, Redshift, and Mode to address its analytics needs. Segment allows for quick data emission and enrichment, while Redshift provides scalable data warehousing with reliable backups. Mode facilitates data exploration and visualization, empowering team members across departments to engage with the data. This setup has enabled Clearbit to derive valuable insights, such as identifying correlations with API usage and predicting future revenue, while continuing to refine and expand their analytics to enhance advertising efforts and customer targeting. The integration of these tools demonstrates that building an effective analytics stack is achievable without an infinite budget, making data more accessible for startups and enterprises alike.