Case Study: LaunchDarkly achieves 98%+ forecast accuracy and optimized revenue operations with Aviso

A Aviso Case Study

Preview of the LaunchDarkly Case Study

LaunchDarkly Increases Forecasting Confidence, Optimizes Revenue Operations, and Drives Growth with Aviso

LaunchDarkly, founded in 2014 and a leader in feature management, faced growing pains as it scaled: manual Salesforce data entry, unreliable Excel forecasts, ad‑hoc deal reviews, uneven MEDDPICC adoption, and limited conversational insights hindered forecasting and sales execution. Seeking a single platform to streamline inputs, reviews, and reporting, they selected Aviso for its time‑series AI and cross‑functional visibility.

Aviso delivered predictive forecasting, pipeline analytics, an AI “Winscore,” conversational intelligence, activity/relationship insights, and purpose‑built deal and coaching rooms, plus automated CRM updates. The result: reps save hours weekly, forecast accuracy rose to 98%+, guided nudges improved deal prioritization, managers and execs gained end‑to‑end visibility, and LaunchDarkly optimized revenue operations and growth while reducing CRM burden and boosting deal outcomes.


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LaunchDarkly

Jeremy Smith

Senior Vice President


Aviso

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