AI Integration
Utilising AI to enhance and encode marketing and RevOps processes, making them faster and more scalable.
Ivenium Marketing, operating as Envy, is a B2B marketing and RevOps agency that combines experienced human strategists with AI to deliver services. They specialise in Go-to-Market (GTM) strategy, paid campaigns, and HubSpot RevOps, aiming to generate qualified sales leads for B2B companies.
Visit website ↗Positions itself around marketing operations with strategic, technical, and consulting capabilities — worth a look if your stack is already committed to one platform.
“The company's model integrates experienced strategists with AI to deliver solutions, with a focus on client ownership and independence post-engagement.”
Envy is a B2B marketing and RevOps agency that supports B2B companies, particularly in SaaS, cybersecurity, devtools, age-tech, med-tech, and AI-native products. They position themselves as strategists first, with work executed by experienced humans and enhanced by AI for efficiency and scalability. Their approach aims to build systems that clients can manage independently after the engagement, ensuring solutions compound rather than require continuous external support.
The agency offers distinct "products" tailored to specific marketing and RevOps needs, each designed as a project-based engagement rather than a retainer. These services cover foundational messaging, paid campaign planning and execution, and HubSpot AI infrastructure configuration and data management. Envy emphasises transparent, fixed pricing and a thorough handover process to equip client teams with the knowledge and tools to sustain the implemented strategies.
Utilising AI to enhance and encode marketing and RevOps processes, making them faster and more scalable.
Developing core messaging frameworks, positioning, unique selling propositions, and ideal customer profile definitions.
Designing and executing paid campaigns, including channel selection, budget allocation, and creative development, using proprietary benchmarks.
Configuring HubSpot AI infrastructure, optimising data, property and object configurations, and aligning lifecycle stage and pipeline logic for AI agent use.
Structuring engagements for knowledge transfer and client independence, providing MD files, processes, and playbooks for internal team management post-project.