Attribution Intelligence
Move from trust us to here is the evidence.
Understand how channels contribute across the full customer journey. Attribution Intelligence uses Google Gemini Pro to reason across touchpoints, compare attribution models and explain the logic behind each decision.
Conceptual illustration, not a product screenshot.
- Attribution reasoning is powered by Google Gemini Pro, not Claude.
- Budget projections are estimates to inform decisions, not guarantees of revenue lift.
- The Lobster Trap DPI proxy layer is designed to add enterprise security and prompt-injection protection. It is a protective layer, not a blanket security guarantee.
AI-native marketing attribution using Google Gemini Pro to reason across multi-touch journeys, comparing Linear, Time-Decay and AI models side by side.
Three models, side by side
Compare Linear, Time-Decay and Custom AI attribution on the same journeys.
Explainable output
Gemini Pro writes a rationale for each attribution decision.
Budget optimizer
Projected revenue lift by channel, presented as an estimate.
Causal reasoning
The AI model reasons about touchpoints across the journey, not only position.
Lobster Trap DPI proxy
An enterprise proxy layer aimed at prompt-injection protection and security.
Journey to explained attribution
Illustrative workflow diagram. It shows the sequence of steps, not data or results.
- Defensible reporting
Each decision has a written reason a client or CFO can read.
- See where models disagree
Side-by-side models show how much the answer depends on the method.
- Budget conversations with a basis
Estimated lift by channel gives a starting point for reallocation.
- 1Load journeys
Multi-touch customer journey data comes in.
- 2Run three models
Linear, Time-Decay and AI attribution are applied.
- 3Explain
Gemini Pro writes a rationale per decision.
- 4Estimate budget shifts
The optimizer projects possible lift by channel.
Most companies default to last-click not by preference but because the alternative was too expensive, too slow and too hard to explain. Gemini Pro addresses all three, so agencies can show a rationale instead of asking for trust.
Back recommendations with explained attribution.
Teams stuck on last-click gain a practical alternative.
Use estimated channel lift to shape the next quarter's tests.
What clients say about working with us
General feedback about working with GrowthBoxx. These are not endorsements of Attribution Intelligence specifically.
“We went from manually sourcing 20 leads a week to running a fully automated pipeline that delivers over 80 qualified prospects daily. The AI integration into our CRM changed how our entire sales team operates — we closed three enterprise deals in the first month we wouldn't have had capacity to pursue before.”
“Our content team was a bottleneck — we were producing four articles a month and spending a fortune doing it. With the Content Autopilot system GrowthBoxx built, we're now publishing daily across three channels. Traffic doubled in six weeks and our cost per piece dropped by more than two-thirds. The quality actually improved.”
“I was sceptical about AI personalisation at scale — I'd seen it done badly. What GrowthBoxx built was different. Every message felt genuinely researched. Our reply rate on cold outreach went from 6% to over 44% in the first campaign. We hit our quarterly revenue target in week seven. Best investment we made this year.”
Honest answers
Does it use Claude?+
No. Attribution reasoning uses Google Gemini Pro.
Are the revenue projections reliable?+
They are estimates meant to guide decisions. They are not guarantees.
Is it fully secure?+
The Lobster Trap proxy adds prompt-injection protection and enterprise security controls, but we do not claim blanket security. Review requirements with us.
Talk through Attribution Intelligence with us.
Book a call to discuss whether it fits your team, how it would be set up, and where its limits are.
Book a call about attribution
