FULLVENUE
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About
FULLVENUE is an AI-powered marketing platform specifically engineered to help brands in the sports, events, and retail sectors maximize their growth and retention. By leveraging an organization's first-party data, the tool enables businesses to move beyond broad marketing tactics and implement highly targeted, data-driven strategies. Its primary goal is to close the operational gap between marketing and data teams, ensuring that complex data sets are transformed into actionable insights that directly influence revenue and customer engagement. The platform operates by deploying advanced AI segmentation models that analyze customer behavior and purchasing patterns. Instead of relying on third-party cookies or generic demographics, FULLVENUE focuses on the nuances of an organization's unique audience. This approach allows users to identify high-value segments that are most likely to convert, thereby optimizing ad spend and reducing wasted resources. The system integrates seamlessly with existing workflows, allowing marketing teams to attract top-tier customers on a smaller budget while simultaneously pushing the average order value higher. FULLVENUE is particularly effective for professional sports teams, major event organizers, and retail brands looking to increase their Lifetime Value and Return on Ad Spend. For instance, sports clubs like Villarreal FC use the platform to drive merchandising sales and refine their digital marketing strategies. By focusing on specific results—such as a reported 20% reduction in Customer Acquisition Costs—the tool provides a tangible framework for scaling operations without the unsustainable costs often associated with traditional digital advertising. What distinguishes FULLVENUE from general marketing automation tools is its deep vertical specialization and focus on first-party data integrity. While many platforms offer basic segmentation, FULLVENUE's AI is tuned to the high-volume, high-frequency environment of the sports and events world. It provides a specialized Clustie app for Shopify users, further extending its reach into eCommerce. This combination of deep industry expertise and robust AI modeling helps brands maintain a competitive edge in a landscape where rising acquisition costs and audience fragmentation are constant challenges.
Pros & Cons
Supports high-performance marketing with up to 54% improvement in Return on Ad Spend.
Significantly reduces customer acquisition costs by up to 20% using AI-driven targeting.
Leverages first-party data to maintain privacy compliance and higher insight accuracy.
Provides a specialized Shopify application for direct eCommerce integration.
Successfully used by prominent sports organizations like Villarreal FC and Benfica.
Requires a demonstration booking to access specific pricing and plan details.
Product features and AI models are niche-focused on sports, events, and retail industries.
Maximum efficiency requires organizations to have established first-party data sets.
Use Cases
Sports marketing directors can use AI segmentation to target specific fan bases for merchandising and ticket sales growth.
Event management teams can reduce wasted ad spend by identifying high-value audience segments for music festivals and conferences.
eCommerce shop owners can utilize the Clustie Shopify app to automatically generate marketing segments and increase order value.
Platform
Features
• shopify app integration
• industry-specific algorithms
• data-driven marketing alignment
• targeted audience insights
• cac reduction tracking
• ltv and roas analytics
• first-party data optimization
• ai segmentation models
FAQs
What industries is FULLVENUE designed for?
FULLVENUE specifically targets organizations in the sports, events, and retail industries. Its AI models are trained to handle the specific customer behaviors and data structures common in these high-engagement sectors.
How does the tool improve marketing ROI?
The platform uses AI-powered audience segmentation to identify high-value segments and optimize targeting. This reduces wasted ad spend and has been shown to improve ROAS by up to 54% while lowering CAC by 20%.
Does the platform use third-party data?
No, the tool prioritizes first-party data to build its AI models. By connecting your own customer data directly, the system generates more accurate and privacy-compliant insights for smarter acquisition.
Is there an integration for eCommerce businesses?
Yes, the platform offers a specialized solution called Clustie, which is available as an app on Shopify. This allows eCommerce brands to easily implement AI-driven marketing segments within their existing online store environment.
How can I get started with FULLVENUE?
Interested organizations can book a demo directly through the website. This allows the team to demonstrate how the AI models can be applied to your specific first-party data and business goals.
Pricing Plans
Enterprise
Unknown Price• AI Audience Insights
• First-party data integration
• ROAS Optimization
• Customer Lifetime Value Predictions
• Average Order Value Expansion
• Customer Acquisition Cost Reduction
• Shopify Integration (Clustie)
• Data-driven strategy alignment
Job Opportunities
Data Engineer
Boost ROI and customer retention using AI-driven audience segmentation and first-party data insights designed for sports, events, and retail industries.
Benefits:
Work at the intersection of AI, data, and performance marketing
Collaborate with leading sports, entertainment, and retail brands
A growing startup culture with room to shape your role
Hybrid flexibility (2-3 days a week in Lisbon office)
Competitive salary, performance bonuses and growth opportunities
Experience Requirements:
Strong background in Python and SQL
Experience with ETL frameworks, data warehouses, data lakes and APIs
A builder's mindset, comfortable with 0 to 1 setups
Operate within cloud environments
Familiarity with machine learning pipelines is a big plus
Other Requirements:
Curiosity for analytics, AI, and data-driven products
Experience with marketing or customer data (bonus)
Interest in joining weekly team sports games like football or padel
Responsibilities:
Architect and build data pipelines connecting eCommerce, CRM, and marketing data
Set up data ingestion, transformation, and orchestration workflows
Define rules, validation layers, and quality metrics
Collaborate with Data Scientists and Product Engineers
Experiment and automate data flow
Show more details
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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