- Gain insight into every touchpoint that contributes to a conversion.
- Understand how marketing channels work together across the funnel.


Uncover the True Impact of Every Marketing Touchpoint

A Unified View of Your Marketing Performance
Why Multi-Touch Attribution Matters
- Understand how channels work together instead of just measuring them in isolation.
- Assign fractional credit to every marketing touchpoint to see the real impact of each campaign.
- Move beyond last-click attribution and optimize based on a full-funnel perspective.
- Ensure fair, deduplicated attribution across paid and organic, online and offline marketing.

With Rockerbox, you can
answer critical marketing questions:
✔ Which channels contribute most to conversions?
✔ How does a customer’s journey unfold across marketing touchpoints?
✔ What impact does social, search, and display have in driving new visitors?
✔ Are we overspending or underspending in key channels?
How Rockerbox’s Multi-Touch Attribution Works

1. A Custom Attribution Model
Built from Your Data
Unlike rigid, one-size-fits-all attribution models, Rockerbox custom-builds an MTA model based on your actual marketing data.
✔ Tracks all marketing touchpoints, whether digital or offline.
✔ Assigns weighted credit based on real user behavior, not arbitrary rules.
✔ Integrates seamlessly with other measurement methodologies like MMM and Incrementality Testing.

2. Data-Backed Weighting
for Each Touchpoint
Rockerbox applies a logistic regression model to analyze user behavior and determine how influential each marketing touchpoint is in driving conversions.
Breaks down cohorts into:
- Users exposed to marketing who convert
- Users exposed to marketing who don’t convert
- Users who convert with no marketing exposure
Assigns weight based on effectiveness:
- Calculates relative impact for each touchpoint.
- Weighs credit across the customer journey, ensuring that early-funnel and mid-funnel interactions aren’t ignored.

3. Actionable Attribution Insights
- Drill down to the ad level and optimize spend across channels.
- Understand channel overlap and how different tactics interact.
- Measure the impact of view-through engagements, not just clicks.
- Analyze new visitor behavior to optimize for audience growth.
Cross-Channel Attribution
Insights That Drive Growth
1. See the Full Customer Journey
2. Optimize Channel Performance
- Pinpoint underperforming channels and reallocate budget accordingly.
- Adjust bidding, messaging, and frequency based on real attribution insights.
3. Measure Both Digital & Offline
- Track hard-to-measure channels like influencer marketing, direct mail, and TV ads.
- Ensure accurate attribution even for channels where click-based tracking is unreliable.

How gorjana Scaled Spend 10x While Doubling ROAS
The Challenge:
Scaling Beyond Last-Click Attribution
The Solution:
Smarter Multi-Touch Attribution
With Rockerbox’s custom-built MTA model, gorjana:
✔ Increased spend by 10x while improving ROAS by 2x.
✔ Gained full visibility into cross-channel performance, leading to smarter budget allocation.
✔ Identified key conversion drivers beyond just last-click touchpoints.
— gorjana Team

Multi-touch Attribution and Marketing Mix Modeling:
Better Together
Rockerbox doesn’t just offer one measurement method—we give you a unified toolkit to answer different marketing questions.
✔ MTA (Multi-Touch Attribution) → Granular, campaign-level optimization.
✔ MMM (Marketing Mix Modeling) → Strategic historical analysis & forecasting.
✔ Incrementality Testing → Validating true impact & eliminating wasted spend.
By combining these methodologies, brands maximize insights and optimize marketing at every level.

Smarter Attribution. Smarter Marketing Decisions.
With Rockerbox’s Multi-Touch Attribution, you gain:
- A true cross-channel view of marketing effectiveness
- Granular campaign insights down to the ad level
- Accurate, privacy-compliant measurement without relying on third-party cookies
- Confidence to optimize spend and scale marketing with data-backed decisions
Stop guessing. Start optimizing with Rockerbox MTA.