Revenue analytics

Education

Boost revenue using data

Banner image for the Boost revenue using data case study

Client

Daniel Park

Service

Revenue analytics

Category

Education

Locations

Singapore

The acquisition strategy had multiple active channels, but the team lacked a clear view of which investments were producing sustainable revenue.

Tough situation ahead!

The business was investing in acquisition, but revenue insight was fragmented across channels and teams. Without a reliable growth model, it was hard to know which efforts were creating scalable revenue and which were only producing short-term activity.

Revenue reporting was disconnected from campaign decisions.

Targeting criteria needed stronger evidence and segmentation.

Budget allocation relied too heavily on short-term signals.

Sales and marketing definitions were not fully aligned.

Forecasting lacked consistent inputs from campaign performance.

Supporting image for the Boost revenue using data case study
Here’s how we tackled it.

We created a growth framework that linked acquisition channels, audience segments, and revenue outcomes into one practical operating model.

We also designed a reporting cadence that helped leadership compare channel performance and make faster investment decisions.

Implementation

The company needed a clearer link between marketing activity, qualified acquisition, and revenue outcomes across the full funnel.

Aligned acquisition reporting with revenue impact.

Refined targeting around high-value audience segments.

Created shared acquisition and revenue metrics.

Prioritized channels by quality and scalability.

Built a decision rhythm for ongoing optimization.

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