Chamfr case study

Unlocking Growth: The Strategy Behind Chamfr’s Surge in ROAS

How product-level segmentation, new campaign formats, and performance-driven optimization helped Chamfr replace an unstable, one-dimensional account structure with scalable growth.

Medical device marketplacePaid media + business intelligence
Chamfr case study

900%

increase in ROAS in less than two months

11.34

new-campaign ROAS in June

0.12

legacy-campaign ROAS in June

94x+

more revenue from new campaigns than legacy campaigns in June

Initial challenge

What was holding growth back.

!

Existing campaigns produced unstable returns that often fell below sustainable levels.

!

Media spend was concentrated in Shopping campaigns with limited format testing or segmentation.

Solutions implemented

The operating changes behind the result.

01

Product-category structure

Campaigns were separated by product category to improve bidding, budget control, and performance visibility.

02

New campaign formats

The strategy expanded beyond Shopping into Search, Performance Max, and complementary formats to improve funnel coverage.

03

Parallel validation

New campaigns ran alongside the legacy structure for two months so performance could be compared directly.

04

Performance-driven optimization

Budgets and tactics were continuously adjusted using real-time performance by product and campaign type.

Highlighted results

Better visibility. Better decisions. Better outcomes.

In June, new campaigns produced an 11.34 ROAS while legacy campaigns produced a 0.12 ROAS.

Consolidated account ROAS increased from 0.59 in May to 8.88 in June and remained strong at 8.45 in July.

The source case study reports a 900% ROAS increase in less than two months after restructuring.

Conclusion

Structure, segmentation, broader campaign formats, and real-time optimization replaced a one-dimensional setup with a tested acquisition model designed to scale.

Results are drawn from EIC’s source case study for the period described. Individual results vary and are not a guarantee of future performance.

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