How the global leader in creative media education used Windsor.ai to connect analytics and CRM data to map the full customer journey — reducing cost per enrollment and boosting lead volume.
Reduced cost per enrolment by
28%Increased lead volume by
25%Case Study - SAE Creative Media Institute
BACKGROUND:
CHALLENGE:
The decision-making process of selecting the right school is a complex one. That means that the customer journey can be long with multiple touch points, and therefore hard to track.
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“We now have a clearer picture of the customer journey from first interaction all the way to enrolment. This has helped us reallocate budgets to our best performing channels and decrease cost per opportunity and cost per enrolment.”
Lee Aitken, SAE General Manager Australasia
THE SOLUTION:
At first, customer journeys were analysed and optimised based on form submissions
By combining data from the email marketing platform, the CRM system and the existing customer journeys, it became possible to take action on business outcomes rather than just form fills.
With a better understanding of the customer journey, SAE has been able to optimise their lead generation strategy to drive more high-quality leads that convert into enrolments. Instead of sitting on a high volume of potential leads, which might never convert.
When potential students come to SAE’s website or landing pages, the Institute’s marketing team is able to see what channel they came from (organic, paid, social, etc) and what pages they viewed.
Bottom line: SAE can now see the value that each marketing touchpoint is having on their overall business revenue and growth. As a result, they have grown lead volume by over 25% year on year while reducing cost per enrolment by 22%.
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WINDSOR.AI’s clients typically improve marketing ROI by up to 30%, free themselves of unprofitable campaigns, and focus their marketing with data-driven customer journey insights.
Our secret? Ground-breaking, artificial-intelligence-based historic and real-time data analysis, with attribution modelling that tells you what works and what doesn't.
Still waiting? Get in touch with us to receive a clear and customized view of your attribution modeling statistics.
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