Case Study: Zeta Global boosts engineering productivity with Span

Zeta Global boosts engineering productivity 20% with Span

Zeta Global, an AI-native marketing cloud company, faced the challenge of scaling AI adoption across its engineering teams. While some engineers were moving faster with AI tools, leadership lacked visibility into where AI was actually helping, if gains came at the expense of quality, and how to make confident investment decisions. They partnered with Span to implement its engineering intelligence platform to gain this crucial measurement and cross the AI adoption chasm.

Span served as a system of record, correlating AI usage with core engineering health signals like flow and quality. This enabled Zeta to target enablement efforts effectively and shift focus to reducing rework and review cycles. The results included a 30% reduction in pull request cycle time, a 20% improvement in engineering productivity, and AI users achieving twice the throughput of non-users. Span provided the visibility that built leadership confidence and transformed AI from an individual advantage into a scalable organizational capability for Zeta Global.

Zeta Global