Digital Journey Intelligence
Multi-Touch Attribution Services for Enterprise Digital Teams
Trusted by Forward-Thinking Enterprises
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MainBrain Research combines neuroscience technology, AI-powered analytics, and behavioral science to give enterprise and mid-market teams the consumer intelligence they need to make high-stakes decisions with confidence. Our six specialized divisions cover every dimension of research your business requires, from brand strategy to retail optimization to predictive modeling.
Our Attribution Capabilities
What Multi-Touch Attribution Delivers
Digital Media Optimization
Customer Journey Mapping
Fractional Credit Assignment
Trusted by Forward-Thinking Enterprises
The Research Partner Built for Decisions That Actually Matter
MainBrain Research combines neuroscience, AI-powered analytics, and behavioral science to give enterprise teams the consumer intelligence they need to move with confidence. From Fortune 500 brand strategies to mid-market innovation pipelines, our six specialized divisions, Rocket Labb, Bamboo Labb, Logitivo, Revelay, Daisho, and Zland, deliver research that connects directly to business outcomes, not just reports.
- Customer Research: Consumer behavior analysis and segmentation studies
- Market Analysis: Industry sizing, competitive landscape assessment
- Product Validation: Concept testing and demand validation research
- Brand Studies: Brand positioning and messaging optimization research
Why Enterprise Teams Struggle with Attribution
The Blind Spots of Standard Tracking
The Last-Click Fallacy
Crediting only the final touchpoint starves discovery channels of budget and eventually strangles the funnel.
Platform Silos and Walled Gardens
Google and Meta each claim full credit for the same conversion leading to vastly double-counting your sales.
Privacy and Cookie Deprecation
Traditional MTA relies on disappearing third-party cookies. Enterprise teams need privacy-compliant modeling solutions.
Ignoring View-Through Impact
Focusing only on clicks ignores the massive influence of ad impressions underestimating the value of display advertising.
How MainBrain Delivers Attribution Intelligence
The Platform Built for the Post-Cookie Era
Logitivo Algorithmic Modeling
We utilize advanced machine learning to analyze vast datasets algorithmically determining the true weight of each interaction.
Privacy-First Data Integration
We deploy modern privacy-compliant tracking utilizing first-party data and server-to-server tracking to maintain visibility.
Cross-Device Journey Stitching
We use deterministic and probabilistic matching to connect user behavior across mobile and desktop ensuring a unified view.
View-Through and Click-Through Integration
Our models account for both impressions and clicks accurately measuring the passive influence of brand-building formats.
Incrementality Calibration
We regularly calibrate our MTA models using controlled holdout experiments to ensure algorithmic credit aligns with causal lift.
Actionable Optimization Dashboards
We provide dynamic near-real-time dashboards allowing media buyers to see true channel performance and adjust bids.
Choosing mainbrain research
Why Medium to Large Businesses Choose our Market Research Expertise
Our research team understands consumer behavior, regional economic trends, and local competitive dynamics that national firms often miss or overlook.
Established relationships with industry leaders, local focus group facilities, and regional survey panels ensure faster recruitment and higher response rates.
Local presence means face-to-face meetings, immediate support, and understanding of business culture and market nuances that drive successful research outcomes.
We guide the implementation of server-side tracking and first-party data integration for robust collection.
Our data scientists build and train machine learning models based on your historical journey data.
We run controlled experiments to validate model findings ensuring assigned credit represents true incremental value.
We deploy custom dashboards to your media teams providing training on how to optimize bids based on algorithmic insights.
Our Methodology & output
Professional Research Methods & Quality Standards
Quantitative Research:
- Online Surveys: Statistically valid sampling with confidence intervals
- Market Sizing: Bottom-up and top-down market analysis methodologies
- Pricing Studies: Conjoint analysis and price sensitivity research
Qualitative Research:
- In-Depth Interviews: One-on-one interviews with target customers
- Focus Groups: Moderated group discussions for concept testing
- Observational Research: Ethnographic and behavioral observation studies
Quality Assurance:
- Statistical validity and appropriate sample sizes
- Unbiased questionnaire design and interviewing techniques
- Professional analysis and interpretation of findings
- Clear limitations and confidence interval reporting
MainBrain Business Impact:
- Market Validation Accuracy: 89% of product concepts validated through our research successfully launch in markets
- Customer Acquisition: clients report average 34% improvement in customer targeting effectiveness after implementing our research recommendations
- ROI Performance: Small businesses in typically recover research investment within 6-8 months through improved decision-making and market positioning
Digital Marketing Leadership
E-commerce and Growth Directors
Chief Marketing Officers
Who We Serve
Enterprise Teams Managing Complex Digital Spend
Performance Media Buyers
Marketing Analytics Teams
Data and Privacy Officers
Frequently Asked Questions
Rocket Labb provides AI-driven solutions to help businesses innovate and optimize. From concept testing to pricing strategies, we deliver fast insights and real-world results to unlock your brand’s potential.
MTA is an analytical method that tracks a user digital journey and uses algorithms to assign fractional credit for a conversion to every touchpoint.
Last-click ignores the whole journey. Algorithmic MTA uses machine learning to determine which specific combinations of touchpoints actually caused conversion.
We pivot MTA toward server-side tracking, first-party data integration, data clean rooms, and probabilistic modeling.
No MTA is designed for trackable user-level digital interactions. For offline media we integrate MTA with Marketing Mix Modeling.
Walled gardens restrict user-level data sharing. We use data clean rooms and incrementality testing to triangulate performance.
We measure both. Ignoring view-through attribution severely undervalues the impact of digital video and display advertising.
Incrementality uses control groups to prove causation. We use incrementality to calibrate and verify the MTA model.
Implementation depends on your current data maturity. Fixing tracking architecture and building initial algorithmic models typically takes eight to twelve weeks.
Media buyers receive automated dashboards showing true algorithmically calculated Cost Per Acquisition and Return on Ad Spend.
Contact our Logitivo division for a tracking and data maturity audit to evaluate your current pixel architecture.
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