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Marketing / ROI

Marketing Budget Optimization & ROI Simulation

Reallocated budget to maximize high-value customer acquisition.

+748M

TRB Uplift

3.83%

Portfolio Growth

Referral

Top ROI Channel

Business Problem

What was unclear

Marketing spend was distributed across multiple channels without a clear understanding of which channels delivered the highest value customers. Acquisition volume was tracked, but efficiency and long-term value were not. The key challenge was identifying where budget should be allocated to maximize return.

Data & System Built

From sources to structure

Data sources

  • Channel-level acquisition and spend data
  • CPAA and ROAS by channel
  • Customer revenue outcomes by source

System built

  1. 01Calculated channel-level metrics including CPAA and ROAS.
  2. 02Built a model to evaluate acquisition efficiency across channels.
  3. 03Simulated budget reallocation scenarios to estimate impact.
  4. 04Connected acquisition, channel performance, and revenue outcomes in one view.

Key Insights

What the data revealed

INSIGHT 01

Referral channel was the most efficient

Highest return at the lowest acquisition cost.

INSIGHT 02

Not all channels contribute equally

Some channels generated volume but lower-quality customers.

INSIGHT 03

Small budget shifts created large impact

Even modest reallocation significantly improved outcomes.

INSIGHT 04

Efficiency was stable across scenarios

Top-performing channels remained consistent under different assumptions.

Impact / Outcome

What decisions it enabled

  • Identified optimal budget allocation strategy.
  • Quantified expected growth from reallocation.
  • Enabled data-backed marketing decisions.
  • Reduced dependency on intuition-based spending.

Visual Layer

Where the system surfaces clarity

VIEW 01

Channel ROI comparison

VIEW 02

Budget allocation vs outcome simulation

VIEW 03

Sensitivity analysis trend

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