Three Ways To Maximize Your Mobile Lead Generation

The advent of the digital revolution era has caused the use of mobile web to increase exponentially year-over-year. According to a Google report, 90 percent of all media interactions are screen-based. As the volume of Internet searches coming from mobile devices continues to rise, marketers need to continuously focus on creating an optimized experience for users.

To do so successfully, your mobile lead generation strategy requires sophisticated resources to make sure you can effectively reach users through this constantly growing channel. With the increase of advertising in the mobile space, Higher Ed Growth reveals three tips for a successful online lead generation strategy.

1. Responsive Design
Responsive design is vital to your web design to ensure users have an effortless viewing experience from mobile phones, tablets, desktops, etc. Responsive design allows your website to appear properly formatted from almost any given device.

This practice is essential to ensuring your audience is getting the same information and experience from mobile to desktop. This also helps to streamline processes by only requiring developers to update one version of your website. The result is overall better usability, higher conversion rates, and improved search engine optimization (SEO).

2. Customized Calls-to-Action
Creating calls-to-action (CTAs) for your website lets your message quickly reach users in just a few simple words. When you create this copy, it’s important to deliver a message that is clear and to the point; this encourages the user to respond right away.

The design of CTA buttons on a mobile web layout is critical to catching the visitor’s attention. The placement will dictate how likely the user will take action. Place your buttons in prominent areas, such as the top of the page, so the user notices it at once. CTAs create value by directing users to the information they are looking for, and the act you want them to take.

3. Optimize Content
Good content is instrumental in getting website visitors to the point of conversion. Therefore, it is important to provide them with content that is useful, relevant, and engaging. Put in the extra effort to ensure that the content conforms to your site’s SEO goals and keywords when drafting copy for your layout.

Also, don’t be afraid to test out different content to learn what performs best and find out what your users respond to most. When writing to mobile audiences, make the content short, easy-to-understand, and always keep shareability in mind.

To deliver the most personal, user-friendly mobile website experience possible, start with your customer in mind. Consider what you already know about your users, as this information and data will be vital when quantifying a mobile-friendly lead generation strategy.

Mobile marketing is on the rise. Companies that create an effective mobile marketing strategy will have a competitive advantage in this rapidly growing space.

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How to Achieve Positive Student Outcomes by Leveraging Big Data

Student outcomes have remained a topic of significance within the higher education industry in recent years. The benchmarks for success have shifted beyond graduation to metrics such as gainful employment and student loan repayment.

Schools are being held accountable for student success, and the bottom line for students is now the bottom line for schools. Higher Ed Growth has been working to examine big data with the intent of better understanding student outcomes and the role higher education institutions play in achieving them. Let’s look at four metrics that can assist in redefining the priorities of student outcomes by leveraging big data:

1. Pre-Enrollment

Prior to student enrollment, schools can be proactive in performing a competitive analysis to discover its strengths and weaknesses compared to similar schools. In examining data, if a student is more likely to enroll when they have been matched to one competitor versus another, schools can optimize their campaigns accordingly. The Bureau of Labor Statistics also provides data that can help analyze and update current programs to better fit job demand, both nationally and regionally. This includes developing new academic programming and removing those that are no longer relevant in the workforce.

2. Enrollment

Data transparency between partners is necessary during all points of the student lifecycle to understand success events and factors. The student lifecycle extends beyond contact and enrollment to graduation and job placement; schools should use a customer relationship management (CRM) system to track all touch points of the student journey. In exploring this data, schools may find surprising trends to help with their marketing efforts, such as a difference in enrollment rates when comparing prospects wishing to change their career versus those hoping to advance their career. This data will help both schools and partners target their efforts toward high-intent prospects.

3. Graduation

Schools should be constantly improving their programs to increase graduation rates among their students. To do this, the student education lifecycle should be tracked via a learning management system (LMS). This data should include information from student participation, credit hours, student profiles, student success, and course quality. Schools should measure and analyze this LMS data as a tool for student outcome modeling by creating a predictive model for success events, such as graduation rates or student loan repayments. This predictive model can help in identifying patterns of success, which schools can use to adjust and improve curriculum.

4. Post Graduation

The focus on student outcomes means that schools are now looking beyond graduation to factors such as job placement and loan repayment to measure student success. This information, however, is currently not being gathered by enough institutions. Schools should focus on gathering this information through government and third-party resources. This data can also be obtained by maintaining relationships with students after graduation. Accessibility to greater data sets gives both schools and partners the ability to improve upon the student lifecycle, from enhanced marketing efforts to helping students find jobs in their desired career after graduation.

Schools and their marketing partners need to focus on defining, measuring, optimizing and predicting student success. Institutions should define what a success event looks like and gather and measure data to determine success at each stage of the student lifecycle.With that data, optimizations and enhancements can be made, and eventually, a model that predicts success at any stage of the student lifecycle. By utilizing external sources and consolidating data, schools and their partners will contribute to redefining student outcomes and the overall education infrastructure.

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