Eliya GmbH is a marketing data science agency that provides AI-driven solutions to measure, analyze and automate marketing activities. Its services include intelligent workflow automation, AI-assisted content generation and marketing analytics using methods such as incrementality testing, attribution and marketing-mix modeling.
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Industry:IT Consulting & ServicesSoftware Development
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Framework for measuring, analysing and optimising marketing performance; includes Marketing Mix Modeling, incrementality testing and data-driven budget optimisation for branding and short-term acquisition.
Intelligent Workflow Automation
AI-powered workflow automation for marketing processes; automated campaign reports and dashboards, lead nurturing, integrations with n8n, Zapier and custom stacks.
AI Content Generation & Vibe Marketing
AI-assisted content creation for text, video, images and design assets; personalised workflows for ideation, scaling and personalisation, as well as cross-platform vibe marketing strategies.
AI Marketing Analytics & Measurement
Marketing analytics and measurement using Bayesian, causal and predictive models; MMM, attribution, incrementality and executive-ready reports for enterprise campaigns.
Hands-on Consultancy
Consultancy for marketing measurement projects, including planning, risk assessment and tailored solutions such as MMM and uplift testing, with a focus on in-house implementation.
Data Strategy
Data strategy for marketing measurement; identifying and fixing data quality issues, building a robust data foundation and providing the right data at the right time.
Training
Hands-on training on marketing measurement methods and tools; upskilling of teams, strategic interpretation of measurement results and technical further education for in-house teams.
Marketing Measurement Data Strategy
Data strategy for measurement projects focused on data quality, harmonisation and availability of the right data for marketing measurement and analysis.
Marketing Measurement Consultancy
Consultancy for in-house marketing measurement, from planning and risk assessment to implementing MMM, uplift and experiment-based models.
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