Signal Vine's Blended Messaging® Approach
One of Signal Vine's unique functions is the ability to send scheduled mass messages, have one-on-one conversations, and automate replies to FAQs based on AI - all in one thread. It's our patented Blended Messaging® approach that administrators and counselors use to communicate with students with personalized messages at scale.
How does Blended Messaging® work?
There are four key elements that work together to power your text messages and ensure that students receive the right support at the right time. It's a spectrum of communication options that, when applied together, produces great results for limiting opt-outs and reaching students.
Receive and send messages to students in your inbox – simply click on the student’s name or conversation stream to access or initiate a one-on-one conversation. Or identify students who need additional guidance – they tend to be the ones who text back with questions or concerns. The Signal Vine platform will identify those responses that require individual attention that would not be effectively handled with automation.
Use student information from your CRM or SIS system (like first name, GPA, major, application status, or deadlines) to target automated messages to groups of students with those attributes. By incorporating this data-driven approach, you'll provide relevant and personal messages that help create student urgency.
Pre-program messages into your Signal Vine calendar. These messages can be sent to different groups of students (automatically, no need to upload a list!) based on their attributes or upcoming deadlines pulled from your database. Finally, see your organization’s pre-planned texts for easy management and division of work.
AI-Powered Virtual Advisor
Automate replies based on student response (or non-response). The platform can recognize replies like "yes, yeah, yah" or any terms or FAQs you identify in advance. Users can create message branching so that some student responses receive automated replies from the Virtual Advisor. Others require individual attention based on their response which the system flags.
Why Blended Messaging® Works
For many institutions, there is a sizeable group of students who require less complex nudging. Perhaps they need timing reminders but little in the way of complex counselor or administrator support. This can be 70-80% of your student population. There is another 20-30% of your students who need extra support to meet deadlines, matriculate, or persist in school. It's these students who will make or break your enrollment goals and it can be difficult to identify this population in advance. EAB calls a portion of this group the "Murky Middle." It describes the 33% of students with a GPA between 2.0 and 3.0 who are in danger of dropping out. According to EAB, "This population demands attention, but with limited resources, it isn't possible to target the entire group."
How do you identify that subset of students who require more attention and are likely to be the difference in meeting your enrollment goals?
That's where Signal Vine's Blended Messaging® approach is invaluable. Users can start with a targeted message to specific populations - say students with a GPA between 2.0 and 3.0, if we used the EAB example. This is a common data-driven field used in our platform. Let's say you message these students to ensure they are registering for next year's courses. For students that reply back that they are registered with a "yes" or some version of it, you can pre-program a response like "great, looking forward to seeing you next semester!" Other students may reply back asking a very common set of questions that your team receives frequently. For example, "Where do I register again?" The Signal Vine AI-powered Virtual Advisor can reply with pre-programmed responses that you set up beforehand, in this example- "You can register using this link our website www.yoururlhere.com."
By doing this once, based on automation rules you can save time and quickly sift through to the students who either don't reply or reply with questions or requests for help. It might look something like the image below. The platform will flag those responses that don't fit your automation rules. For that reason, you have a scalable and efficient way to find that group of students who need more support.
What are others doing?
Finally, there are a few text message options available to higher education leaders. Most are either one-way communication tools, manual platforms, or chatbots. None provide the personalization at scale that Signal Vine's Blended Messaging® offers. Manual platforms will allow users to send and respond to messages. But these lack the automation that will make you more efficient and able to reach the students that need help. Chatbots serve as responsive tools but require students who are seeking help. They will not surface those students identified through your proactive outreach or they end up coming between you and your students. Finally, the new generation of digital natives that comprise the next wave of students is skeptical of bots. These students will even reply to messages asking if they communicating with a bot. Instead, personalized responses that incorporate known details of students will ensure your messages are getting the response you need.
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