

Uncover Every Step:
The MTA Solution for Smarter Marketing Decisions
See the full customer journey. Attribute conversions with accuracy.
Optimize with confidence.













Why Marketers Struggle
Without True Attribution
Limited Visibility into the Full Customer Journey
- In-channel metrics are biased and duplicated, making it difficult to understand how customers move through the funnel.
- Single-touch attribution models fail to capture the influence of multiple touchpoints, leading to inaccurate performance assessments.

Suboptimal Budget Allocation
- Without a clear view of what’s working, businesses struggle to allocate spend effectively.
- Misattribution causes overinvestment in underperforming channels while underfunding true growth drivers.
The Result?
Missed Opportunities & Wasted Spend
Without accurate attribution, marketers are left guessing instead of optimizing—leading to inefficient marketing decisions and lost revenue.
How Rockerbox Delivers
Smarter Attribution


Multi-Touch Attribution for True Performance Insights
- Rockerbox’s MTA model assigns credit across all marketing touchpoints, ensuring that every engagement is measured accurately and fairly.
- Understand the full path to conversion—not just the last click—so you can optimize based on true influence.
Data-Driven Budget Allocation
- Identify high-performing channels and campaigns with unbiased, deduplicated data.
- Confidently reallocate spend to maximize return on ad spend (ROAS) and lower customer acquisition costs (CPA).


Campaign-Level Performance Evaluation
- Assess which marketing initiatives drive results and make real-time adjustments based on proven performance insights.
- Evaluate the impact of view-through conversions, offline interactions, and cross-device engagements.
Smarter Personalization & Customer Engagement
- Unlock deeper customer insights by mapping the entire purchase journey across multiple touchpoints.
- Develop more targeted, personalized marketing campaigns that drive better engagement and higher conversions.

How Rockerbox’s
MTA Works
Data Integration
Rockerbox ingests structured, deduplicated data from online and offline sources, ensuring an accurate, unified dataset for attribution modeling.
Advanced Attribution Modeling
- Machine learning algorithms analyze all customer interactions, assigning credit to each touchpoint’s real influence on conversions.
- Go beyond last-click or single-touch models to get a holistic, unbiased view of marketing effectiveness.
Actionable Insights & Reporting
- Rockerbox delivers clear, intuitive reports that help marketers make smarter optimizations—faster.
- Easily integrate MTA data into your existing marketing stack for real-time decision-making.

Case Study
How KURU Footwear Scaled Smarter with Rockerbox’s MTA
By leveraging Rockerbox's user-level path to conversion data, KURU scaled their social spend by 350%, achieving greater visibility into their approach and strategy, and making informed business decisions in a targeted market.


The Challenge
KURU Footwear needed to move beyond last-click attribution and dashboarding to gain a comprehensive view of their marketing impact. They wanted to:
- Measure view-through data accurately across social channels.
- Assess the impact of offline marketing efforts and test into new channels.
- Gain faster, cleaner, and more accurate insights to guide their media investments.
The Solution
- Rockerbox’s Multi-Touch Attribution model provided KURU with synthetic events to measure both view-through conversions and offline interactions.
- The customizable, structured data model enabled KURU to access better, faster insights and confidently scale ad spend by 350%.
- With Rockerbox’s hands-on support and consultative approach, KURU made data-backed investment decisions that drove meaningful growth.
Connect the Dots Across the
Full Customer Journey
Unlock the power of Rockerbox’s Multi-Touch Attribution and gain a comprehensive understanding of how every marketing touchpoint influences conversions. Optimize marketing spend, drive meaningful engagement, and make informed decisions that fuel growth.