Case Study: MaestroQA boosts reply rates and saves prospecting time with Amplemarket

How MaestroQA leveraged Amplemarket’s intent signals
to 6x pipeline efficiency

MaestroQA, an end-to-end QA platform for customer experience teams, needed a more scalable way to run intent-based outbound. The sales team was manually tracking former users, job changes, and lead lists in spreadsheets and LinkedIn Sales Navigator, but their existing intent tools were too broad and often surfaced leads too late.

With Amplemarket’s AI-powered intent data, including Job Change Alerts, Buying Intent Signals, and hiring-based signals, MaestroQA automated prospecting and targeted outreach more precisely. The results included an 18% reply rate on job change sequences, 67%+ average email open rates, 1,782 leads from job change signals, 1,393 leads from competitor pipeline signals, and 85% time savings on manual job tracking.

MaestroQA

Cole Brummund

SDR Manager