Case Study: DISH achieves 500% lift in ROAS with Invoca Conversation Intelligence

A Invoca Case Study

Preview of the Dish Case Study

Why DISH Network Uses Invoca Conversation Intelligence

DISH Network, a telecommunications provider, needed to optimize paid media for subscriber lifetime value (LTV) because LTV varied widely and acquisition costs were high. The marketing team wanted to prioritize high-LTV customers without sacrificing scale and needed a reliable way to measure and feed LTV into bidding decisions.

DISH developed an internal LTV prediction model and partnered with Invoca to build closed-loop attribution that appended subscriber LTV to conversions and fed that data into Google Ads. By using Google Smart Bidding to value each customer and moment with machine learning, DISH achieved a 500% lift in ROAS, a 15x increase in conversions, and a 60% rise in conversion rate.


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Dish

Russell Bangert

Director of Digital Marketing


Invoca

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