Superdrug

Delivering Incrementality with Machine Learning

£53.3k
Incremental Return from Total Search
+102%
Higher Total ROAS
50%
Decrease in CPC's
case_study_incubeta_superdrug

About Case Study

Industry
Beauty / Health / Pharma
Market
UK
Approach
Adaptive Automation
Capabilities

Challenge Overcome

Superdrug understood the true value behind their search marketing – identifying how much their paid search activity was cannibalizing their organic coverage.

Approach Taken

Superdrug worked with Incubeta to identify areas of opportunity, guide optimizations and achieve maximum incrementality. Leveraging machine learning within a data driven approach that automated paid bidding decisions in line with a search terms organic position.

Value Delivered

Superdrug built a complete and holistic understanding of all activity – driving channel performance and delivering ROI. Overall they saw a £53.3k incremental return from total search, a 102% increase in total ROAS, and a 50% decrease in CPCs.

Ready to connect?

Achieve your marketing milestones.

MORE CASE STUDIES

Related Work​

case_study_incubeta_m&s_shop

Rapid Results

Marks and Spencer

Delivered Bidding Efficiency

To drive growth, M&S leveraged innovative Paid Search bidding strategies to optimize channel performance. This approach successfully delivered a 5% increase in ROAS alongside a 6% reduction in CPCs.
case_study_incubeta_saudi_airlines_plane

Generative Growth

Saudia Airlines

Delivering Scale & Performance

By recognizing areas of untapped potential, and expanding into regions where brand recognition was limited, Saudi Airlines saw a 156% increase in revenue across 29 new markets in 8 months

Adaptive Automation

Gruppo UNA

Delivering Personalization & Flexibility at Scale

Gruppo UNA were able to target users across the full-funnel, with increased flexibility across ad variations. This strategic approach led to a highly customized message that perfectly matched user needs.
Optimized by Optimole