About the Client
The Client is a North American education institution. The company had been spending aggressively on paid campaigns to garner more leads and increase customer acquisitions. The target were both B2B and B2C clientele.
The Problem Statement
The company had scattered marketing data for different activities (including paid campaigns) and was unable to track all KPIs at one place. Also, the conversions for paid campaigns were not effective.
MResQ's Response
MResQ coordinated with the company’s marketing team and developed a long-term plan to improve the engagement and get better data visibility
Dashboard
The MResQ team studied all the different datasets and collated them on a single platform. In discussion with the client, a sample dashboard was created. The entire process was later automated to smoothen everyday tasks and enhance data visibility.
Visitor’s segregation
The MResQ team studied all the different datasets and collated them on a single platform. In discussion with the client, a sample dashboard was created. The entire process was later automated to smoothen everyday tasks and enhance data visibility.
Personalised Content
On the basis of visitors’ behaviour-based tiering, personalised content was planned to improve conversions. Machine learning models were leveraged to provide real-time personalised content to visitors.
Results
- The client had visibility of all the marketing data on one platform. Different departments within the organisation could access the marketing performance KPIs.
- Overall conversions increased 15-20% within 6 months of the engagementFeatures List