Madhive, known for its unified operating system used by local media organizations across the U.S., is introducing what it calls “the first intelligence layer designed specifically to accelerate and optimize every step of an advertising campaign from pitch to payment.”
Maverick AI integrates directly into the Madhive platform, “enhancing autonomy, accuracy and outcomes at scale,” the company says.
Madhive CEO Spencer Potts comments, “Madhive has spent the last eight years building the unified operating system that gives our customers the tools to sell, plan, activate, and measure omnichannel media campaigns all in one place. Now, Maverick AI will serve as the foundational AI layer that elevates every step of that process. Rather than layering in generic AI features, Maverick will serve as the foundational force that makes our platform better, faster, and more efficient.”
Maverick features include:
- Maverick SmartProposal: Shortens sales cycles, increases revenue, and drives campaign outcomes by proactively providing insights, answering questions, and empowering sellers with the data they need to make confident recommendations as they leverage SmartProposal to dynamically build custom branded media plans in minutes.
- Maverick Audiences: Decrease operational lift and boost campaign performance with precise AI-curated audience segments. No additional platform hops or complex data wrangling required.
- Maverick Outcomes: Drive conversions with AI-based optimizations toward any campaign goal, whether it’s driving foot traffic to a brick and mortar location, increasing site visits, or boosting online sales.
For enterprise media companies, Maverick SmartProposal has accelerated sales cycles and driven increases in key metrics such as the number of products sold and average order size. Once campaigns are sold, Maverick Audiences and Maverick Outcomes provide the predictive analytics for smarter planning and the data-driven insights for more effective in-flight optimizations.
For agencies, Maverick AI insights are providing “the why” behind every pre-campaign recommendation and post-campaign performance analysis.
