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In less than 90 days, Quadrupled Revenue in a very small, niche market.

Study for FE is an online education platform that helps engineers achieve their professional engineering licenses in the United States. Started just 3 years ago, Study for FE provides done-for-you solutions to passing the exams in the first try.

 

The Challenge

The challenge for this project was a bit more unique than our usual outings.

How do you take a course that already sells relatively well on its own, and improve its performance, when the audience is very small, targeted, and hard to reach via conventional methods.

Fact: There are literally only 10,000 people eligible at any given time to take the FE Electrical or Computer Exams in the United States, and only 4,000 of them take the exam each year. 

 

The Approach

As mentioned above, Study for FE was doing well already. Our main focus was to improve performance, reduce costs, and increase revenue.

How did we go on about it?

  • Revamped the website to make it modern, slick and focusing on the unique value proposition of the course
  • Implemented conversion tracking & analytics solution to identify the channels, ads, and content bringing in the most leads
  • Improved & implemented automated funnels to continue selling while the course owner could focus on generating new content and helping his students 1 on 1.
  • Split testing of landing pages to identify conversion rate improvements
  • Implemented a content-driven approach to marketing vs a sales focused previously.

The Results

Our Multi-channel marketing solution killed it with Google, Facebook, Bing, LinkedIn & automated email marketing at the heart of it.

70%

Cost Reduction

Reduced Cost per Lead from $3.5 to $1.04

400%

Increase in Revenue

Within 90 days

3

Monthly sales records broken

In as many months

Study for FE

Happy Clients, is Happy Orion
Professional end-to-end marketing services team - professional and competent! Looking forward to working with Orion for the foreseeable future. Thanks for the amazing result-driven approach

Wasim