Case Study: Easyship boosts forecast accuracy and win rates with Gong

Easyship boosts forecast accuracy to 90% and lifts win rates by 15% using Gong

Easyship, a global eCommerce logistics platform, was scaling quickly but its sales processes were struggling to keep pace. As the business moved from a self-service, inbound model to larger and more complex deals, it faced inconsistent coaching, long ramp times, and unreliable forecasts. Easyship turned to Gong’s Revenue AI Platform to bring more visibility and consistency to its revenue operations.

With Gong, Easyship centralized call data, improved coaching, and used Deal Boards and risk signals to forecast with real-time insights. The results included a 25% faster ramp for new reps, a 15% quarter-over-quarter increase in win rates, and forecast accuracy rising from 68% to over 90%. Gong also helped Easyship turn customer insights into input for product, marketing, and customer success decisions.

Easyship

Daniel Hall

Head of GTM & Crowdfunding