Converge

Converge launched with a deliberately narrow MVP: a single attribution model connecting Shopify stores to their ad spend data across Facebook and Google. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Rather than building the full data stack they envisioned, they shipped a working solution in eight weeks that solved one acute pain point—understanding which channels actually drove profitable sales. They deliberately excluded consent management, identity resolution, and advanced analytics, betting that attribution accuracy alone would prove valuable enough to retain early customers. This stripped-down approach validated quickly. Within three months, their first cohort of DTC brands reduced ad spend waste by 20-30%, generating strong word-of-mouth in Shopify communities. The tight feedback loop from this focused scope revealed their real bottleneck: most merchants didn't trust their data, not that they lacked features. This insight redirected their roadmap toward data quality and integrations rather than expanding horizontally. By staying execution-focused and shipping measurable value fast, Converge built credibility before attempting the full platform vision.