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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.
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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

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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).
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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.
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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.
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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.