Lifesight
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About
Lifesight is a unified marketing measurement platform using AI to provide accurate insights into marketing ROI. It offers Marketing Mix Modeling (MMM), Incrementality Testing, and Causal Attribution, enabling data-driven decisions, budget optimization, and predictable growth. The platform integrates various data sources and helps brands make more informed decisions across all channels, improving marketing effectiveness.
Platform
Features
• incrementality testing
• marketing effectiveness measurement
• causal attribution
• marketing mix modeling
• marketing intelligence & analytics
• planning, forecasting & optimization
• data centralization & operationalization
FAQs
What is Lifesight?
Lifesight is a unified marketing measurement platform leveraging advanced methodologies like marketing mix modeling, incrementality testing, and causal attribution to accurately measure marketing impact on business KPIs. It helps data-driven decisions, optimizes marketing spend, and achieves better business outcomes.
How does Lifesight’s platform work?
Lifesight integrates data from all marketing channels (online and offline) to provide a comprehensive view of marketing performance. AI-powered insights analyze the true causal impact of each tactic, enabling budget optimization, outcome forecasting, and predictable growth.
What methodologies does Lifesight use?
Lifesight uses Marketing Mix Modeling to identify and optimize impactful channels, Incrementality Testing to measure the true incremental lift of campaigns, and Causal Attribution for accurate, causality-driven insights. These methodologies deliver a holistic understanding of marketing performance.
Who benefits from Lifesight?
C-level executives, marketers, finance leads, media planners, marketing operations managers, marketing scientists, and data analysts can benefit. It's ideal for fast-growing brands seeking collaboration between marketing and finance teams for maximized marketing impact and transparency.
How is Lifesight different?
Lifesight combines proven methodologies with AI-powered insights in a unified platform, unlike traditional tools with flawed attribution models. It provides accurate, causal measurements, eliminates data silos, enhances decision-making, and drives real business growth.
What pricing options are available?
Lifesight offers a simple pricing plan for businesses of all sizes, including a flat annual subscription fee and optional monthly retainer fees for marketing science services.
How secure is my data?
Lifesight prioritizes data security and privacy with robust security measures, including encryption, secure data storage, and regular security audits. It's ISO 27001 and SOC2 Type 2 certified and complies with GDPR and CPRA.
What kind of support does Lifesight offer?
Lifesight offers comprehensive support, including free onboarding, training resources, and a dedicated support team. World-class marketing science services are also available as a fully managed platform offering.
How can I get started with Lifesight?
Request a demo to see the platform in action or start a free trial to explore features. A free pilot program is available to experience the platform with your own data before subscribing.
Job Opportunities
Data Scientist
AI-powered marketing measurement platform providing MMM, Incrementality Testing, and Causal Attribution for data-driven decisions and improved marketing ROI.
Benefits:
Learning & Upskilling Program
Financial Education & Empowerment
Employee Engagement Fridays
Comprehensive Health Benefits
Employee Stocks & Bonuses
Education Requirements:
Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
Experience Requirements:
2-3 years of experience as Data Scientist
Other Requirements:
Statistical Knowledge
Machine Learning
Programming Skills
Specialized Knowledge
Responsibilities:
Collaborate with product design and engineering teams
Research and devise innovative statistical models
Enable smarter business processes
Keep current with technical and industry developments
Execute analytical experiments to solve problems across domains and industries
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Sales Development Representative
AI-powered marketing measurement platform providing MMM, Incrementality Testing, and Causal Attribution for data-driven decisions and improved marketing ROI.
Benefits:
Competitive compensation & benefits
Fun working environment
Experience Requirements:
2-4+ years inside sales experience in Sales and Pipeline development roles in SaaS-based B2B software
Other Requirements:
Great phone personality and phone voice
Excellent listening skills
High-energy and positive attitude
Attention to detail and the ability to multitask
Must be independent, self-motivated, and success-driven
Ability to quickly learn and apply new information
Confidence to overcome objections and convert interest into qualified leads
Responsibilities:
Prospect, penetrate, and create new relationships
Generate interest in the FLUX platform
Identify, initiate and nurture relationships
Qualify and allocate leads
Work with a monthly, quarterly, and yearly quota
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Backend Engineer
AI-powered marketing measurement platform providing MMM, Incrementality Testing, and Causal Attribution for data-driven decisions and improved marketing ROI.
Benefits:
Competitive compensation & benefits
Fun working environment
Experience Requirements:
4-7 years of hands-on experience in designing, developing, testing, and deploying large scale applications, microservices
Other Requirements:
Good knowledge in one or more of these areas: Cloud, NoSQL stores
Excellent attitude and passion working in a team
Experience in building low latency, high volume REST API requests handling
Experience in working in distributed caches like Redis
Responsibilities:
Be responsible for the overall development of the modules/services
Code, design, prototype, perform reviews and consult
Refactor applications and architectures
Stay abreast of the latest technologies
Write readable, concise, reusable, extensible code
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