The Challenge:

Amazon Web Services needed help strategizing and implementing a paid search strategy to grow adoption of their SageMaker DataWrangler product.

Results:

103% increase in

primary goal

23% increase in

impression share

HOW IT WAS DONE:

A/B Testing Ad Headlines

We were able to maximize ad engagement by A/B testing different headlines within our ads to see which variants resonated best with searchers.

Leveraging Google Scripts

We implemented an N-gram script to isolate poor quality traffic and better tailor our campaigns toward higher-intent audiences

Match-Type Specific Campaigns

We tested match-type specific campaigns to maximize control over valuable search queries while still learning from broader keywords.

Claire O’Brien

Sr. Product Manager

DriftLead has helped us expedite SageMaker adoption by marketing our DataWrangler feature through paid search. The DriftLead team was able to successfully eliminate poor-quality junk traffic from our campaigns while still growing our reach and delivering on our primary KPI.

The Backstory

Amazon’s SageMaker is an AWS tool that helps facilitate the development and deployment of machine learning algorithms. Data Wrangler is a no-code SageMaker feature that allows data scientists to effectively prepare their data for machine learning in a matter of clicks. After working with us, we were able to drive considerable lifts to their primary goals.

Other Study Cases