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Case Study · Marketing Intelligence
Which marketing drives revenue? Causal AI for a Consumer Electronics Leader
How a global technology brand isolated the true revenue impact of its marketing and improved targeting accuracy 2.66x.
The challenge
Our client’s challenge
A global consumer electronics leader needed to know which marketing actually drives revenue for its services business, so it could put budget where it works.
Traditional measurement couldn’t separate the effect of a campaign from everything else influencing revenue. Without that clarity, the service monetization team was limited in how confidently it could allocate budget and optimize campaigns.
Key objectives
Fund what works
Quantify causal impact precisely enough to guide budget allocation and planning.
Make it repeatable
Build a causal framework the organization can extend to other campaigns and segments.
The solution
The AI Collaborator solution
AI Collaborator built a causal inference framework that moves from better targeting to trustworthy measurement:
- 1
Sharper targeting
AI-based propensity scoring replaced traditional methods to find high-probability responders more accurately.
- 2
Fair measurement
Adjustments keep a small group of unusually large spenders from skewing results, so findings reflect the broader audience.
- 3
Impact over time
Time-weighted measurement shows how effects evolve, separating short-term lift from long-term revenue impact.
- 4
Built to reuse
The framework is documented and packaged so teams can apply it to new campaigns, treatments, and outcomes.
The results
Our client’s results
The client now understands how different marketing treatments influence revenue and can make more strategic, cost-effective budget decisions. The packaged framework lets teams apply the same rigor to future campaigns faster.
2.66x
improvement in classification scores over the original logistic regression approach, for more accurate segmentation and targeting
50%
correction in measured treatment effect for top spenders once outliers were adjusted for
“The AIC team has done an outstanding job supporting us. Their team displayed the technical expertise, strong collaboration ethos, and thought leadership that have been invaluable to the success of this pioneering project.”
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