Dive Deeper With ZeeMee : Designing Effective Student-Centered Outreach Strategies Through Personalization and Personas

Hey everyone welcome.

We're so glad that you're here and joining us with another dive deeper as you get cozy and settled in this webinar room. I hope that you can drop us a line in the chat and say hello. Let us know where you're tuning in from and I'm back on the weather question. Let me know what your weather is today. Ours has been like notoriously hot and we're expecting a cold front again. So I think I'm going to have to go and cover all of my plants. So let us know what the weather is near you. How about you guys, Katie, Courtney and Claudia with.

Hot.

It's muggy.

Hi.

It is sunny and hot in Jacksonville, FL.

Yep.

Great, great. I I prefer the heat to the cold, so I'll take it.

Great. Oh my gosh, a lot of warmness. I love it. Cloudy and warm. I'll take that.

Good. I'm surprised.

Some studying 75. That's that's where it's at. Adam, you're winning.

That's right.

OK, keep saying hello in the chat. I'm going to go ahead and kick us off slowly but surely. So let me go ahead and get started first by welcoming you to our final dive deeper of the season. My name is Sarah Brown, I'm the Assistant Director of Strategic Partnerships here at Technologians, and I have the joy and privilege of working with our preferred partner network as a part of our Platinum Preferred Partners. They put on these dive deeper webinars for you twice a year and cover incredible content.

They cover things that are industry topics or slate topics or a little bit of both.

So I'm really excited to welcome you here today and to kind of closeout the spring season before we get into the thick of Slate summit. So first I want to go over some housekeeping notes. The most frequently asked question is, is this going to be recorded? And I'm so happy to report that it is. So this webinar is being recorded and it will be made available to you in your Resource Center, formerly known as home slate. And not only will you be able to re watch this webinar, but you can also share it with a colleague or flip through the slides at your leisure.

I want to Orient you with a few of the icons at the top right hand side all the way to the right. The four arrows pointing outward will make this box full screen so that your viewing is a little bit easier and larger. You can see the icon with two CS that will toggle on or off closed captioning and that will appear in the chat box and you can also toggle on or off the chat box. But we hope that you don't because I really want you to stay engaged in the chat. That makes a webinar really fun. React to any of the content that you're seeing. Ask questions. I will be in the.

Have to collect all of the questions throughout the entirety of our session today and I'll pitch them over to the Zemi team at the end. Should we have time to do a live question and answer session? If at any time the audio sounds strange to you, that is an echo or a lag. A simple refresh of your browser should take care of any of those issues. OK, thanks again for being here. I'm going to go ahead and turn it over to the Zemi team now.

Awesome. Thank you so much, Sarah. I'll just slide us in here to get us started, but want to take a moment to welcome everyone. Thank you guys for joining us today. We're really excited to spend some time together talking about something that is a hot topic in the industry today, personalization. We want to share how personalization, student insights and ZME data can transform how you're connecting with students across the enrollment journey using your Slate tools.

Please ask questions like Sarah said.

We'll be monitoring the chat, we'll be taking those in and making sure we get to them at the end if we have time. But of course, before we dive too much deeper, want to introduce ourselves formally. I'm Claudia Jacobs, I serve as our director of sales here at Deanie. I've had the pleasure of presenting this opportunity with colleges and universities all across the world for the last five years. Prior to this role, though, I was a slate user myself as I recruited a territory of students in the Southeast.

As an admissions counselor, did everything from new student engagement to residence life and housing, and even some orientation stuff. I'm joined by two of my favorite teammates at ZINI. I'll pass it to you next. How about you, Katie?

Awesome. Thanks so much, Claudia. Hi, everyone. My name is Katie Rivek and I'm the Marketing Manager here at Zimi. I've been with Zimi for a little over six months now and previously I served as the Director of Enrollment Communications at a private university where I was in Slate all of the time from deliver to content blocks to portals and queries. I truly love Slate, so very excited to be with you all here today.

Awesome. And I'm Courtney, one of the product managers here at Zeme. I've been here for about 4 1/2 years now. Like Katie and Claudia, I come from the admissions side of things, was a Zini partner in your seats from, you know, my role as an admissions counselor up through Director of Admissions. And I'm just really excited to be sharing some of the tips and strategies that we have for you today.

Awesome. Well, thank you ladies. Let's get started. This is the part of the presentation that is just a brief infomercial, so bear with us. Some of you are not as familiar with ZIMI as you may be with Slate. So for those of you that aren't, we help colleges connect with students in a more authentic and meaningful way starting from their very first interaction, which often is digital.

Our partners connect students across the enrollment funnel in virtual community where students find friends.

Match with roommates, share their interest and engage an average of 13 times per day.

So with an earlier and a higher frequency of interaction with prospective students, Zemi has a unique pulse on what they're thinking. We're not guessing what they care about or assuming. We're learning directly from them every day through their actions, their engagement, and of course, self reported data. That gives us something that's very powerful. It's insight that we can bring back to you, our partners, to help you understand what students are looking for, what motivates.

Them and how they want to be communicated with. And that's exactly what we're here to talk about today.

So of course.

Trying to get my slide to move here level setting just on personalization. It of course has become essential in all of our student communication, but as many of you know, it is evolving quickly. At a very high level. Personalization is about moving beyond just A1 size fits all message and instead tailoring our outreach based on what we know about students like their interests, their behavior, and where they are in our journey.

We see this show up in a lot of different ways today. Sometimes it's as simple as referencing an academic interest in an e-mail, like a student's major. Other times it's adjusting timing, tone, or content based on the engagement level or a student's intent.

But the key idea is that the more relevant the message feels, the more likely a student is to engage with it and take the next step we desire for them.

Now I need to say.

What we share moving forward is not necessarily a pitch of Zimi. We're using insights supplied by our platform and our students, but these concepts can be applied across other datasets that you have today and leverage to influence the communications that you build based on them.

So getting into it here.

Once a month, we ask thousands of college going students on ZINI for their thoughts on a specific topic.

In February, we asked them how they feel about personalization, and we received thousands of responses overnight through our student poll survey.

And what we found was really clear.

First, students genuinely appreciate personalization, of course, when it's based on information they have directly provided.

When it feels relevant, it feels helpful, and it makes communication really stand out.

However, there is a caution. Personalization can be perceived negatively when students don't understand where that data comes from.

It feels like information is being used without context and it can create confusion or distrust.

Let's take something as a personal example here. Have you ever said something in conversation to a friend and later on that day you start seeing ads in your feed or your algorithm has shifted to also be talking about that topic?

That feels invasive. That feels creepy, right?

It's a lot different if you had actually searched for that topic on your phone or looked into that product.

Personally.

The same is true for students.

The biggest take away is that the most effective personalization is grounded in transparent, self reported student data.

And that's important because Zini is one of the only platforms in higher Ed where students are actively choosing to share this information as part of their experience. They're actively self reporting their interest to you, and we're able to present that back in a way that can influence how you're using other products and processes. So let's take a look at the student profile inside what we call the Insights Dashboard.

Called insights because of course it's full of them.

This is where all the fat, self reported and behavioral data comes together in one place. So a few things that we're looking at here. Of course, the source for the student, this shows how they entered your Zini community.

Did they enter it from an invitation that you sent to them?

Did they enter it as a current ZME user who was looking at another community but was invited to join yours? Did they enter your community organically, meaning they do not match back to the information that you have in Slate and are therefore a potential new lead for you to work? Another thing that we're presenting is the commit index. This indicates the likelihood a student is to enroll on a high, medium to low scale. We'll talk a bit more about this later.

Hold on to that.

We're also showing you the going status that of course reflects the students intent to attend. This can be self reported and of course confirmed against your data.

And then, as I'm sure you can see, Boo Coos of interest now as you look across this screen.

You probably see that these interests are not something that your application captures, your RFI captures. There are, of course, things that you hope to pick up conversationally when it's a counselor talking to a student or what have you. But these are things that students are willingly and eagerly sharing with us so that the school can use it and better serve them in their communications.

Of course, what's important here is that a lot of this can be sent back to slate and operationalized. We're of course going to talk about that today. And then there's a lot of this that can be used daily by an individual counselor to shape the way that they are nurturing their relationship with the student or the way that they're going about recommending next steps.

Of course, these are signals that come together in one unified student view here in our Insights dashboard.

And this allows us to be your partner in personalization.

It's really where I get to turn it over into my partner and personalization, Katie, and let her talk a little bit about how we use some best practices to utilize these insights. So Katie, I'll pass it over to you.

Thank you so much, Claudia. So we've talked a lot about this, this insight that gets surfaced through the Xemi data, and Claudia did a great job of breaking through or walking through kind of what students prefer when it comes to personalization. Now I'm going to walk you through some of those best practices for utilizing some of those data points with Enslate. So the first thing we're going to talk about is the going status. And so this is exactly what it sounds like. It's going to be the status that students indicate in DMI if they're attending your university.

And so students have the option to select that and then that data gets fed over into Slate and you can use that in queries. So as you can kind of see in this screenshot here, I've done a quick query where I've joined the application from application, I joined a decision and I selected an admitted student decision. Then I added in the Z me going status in there as well as in going. So in building a query like this, we're able to highlight admitted students who have not yet deposited but have said that they're going to your.

University in Zimi and that is a great opportunity for individual counselor outreach. Counselors can reach out to those students, follow up to see if they have any questions and really get them to that next step which is deposit and across the finish line. So a really great idea for, you know, really utilizing individual counselor outreach.

The next one is going to be the commit student index. And so a commit student index is an index that's created based off of all this predictive analytics and ZME behavioral data that gets fed over into Slate. And there are three different tiers. So we have a low commit index, we have a medium and we have a high. And for this example, in this use case, I'm going to use the high commit index. And these are the students that based on all their behaviors, based on this predictive analytics, students are most likely going to go to your university. And so this is great when you.

Pair it again with an admitted student filter. You can identify those students that have not yet deposited, but are those ones that are most likely going to attend your university. And so together you can do some individual counselor outreach with this as well. And so that really helps counselors focus on those students that are most likely going to come to your university. You know, you want to spend your time and your efforts on the students that are most likely going to attend. So another great resource on an individual counselor outreach level.

The next is going to be the roommate quiz. And so the roommate quiz is a quiz that lives within the Zemi app that students can take. They answer several different questions and what they prefer that kind of thing about having a roommate. And then they get matched with other potential roommates. And this is great for fostering community and helping students find their roommates. But one great way to utilize this is in a admitted student or deposited student portal. So within your portals, you.

Have the opportunity to dynamically show content and then much like how we were building the queries you can build queries and build filters off of how to show content within portals and so for this specific example you could create a content block that would dynamically show the roommate quiz to students that are deposited but have not yet taken the Zemi roommate quiz and this can accomplish 2 things it gets students into Zimi and it helps them find that community and engage with students but it.

Allows them the opportunity to find that roommate as well, and these efforts together can really help with summer melt and helping that student find their place on your campus over the summer.

And then finally, the last tool is going to be source. So Claudia hit on this a little bit in the overview slide, but the source is going to be how a student joined your Zini community. So whether that be organic through competitor match, through community match, it's all about how a student entered your community. So for this example, we're going to talk through a student that entered organically and you can essentially think of an organic student as a hand raiser. That's an inquiry especially helpful if you.

Can filter off of that information for a student that hasn't applied yet. So if we take that information knowing who isn't an applicant yet, but they have organically joined our community, they seem very interested, we can send them a direct message and invite them to apply. And then in utilizing Slate tools, we can create a rule within Slate that allows us to create fee waiver codes specific to this campaign or a variety of different campaigns that allow your marketing team to also track.

Success of these campaigns. So it's kind of benefits on both sides. You're allowing students to apply for free utilizing the fee waiver code, but it's also incredibly helpful for your marketing and admissions teams to know which campaigns are yielding the most success. I did a lot of this at our previous institution and we saw a lot of success and it was very, very helpful in measuring the metrics and success of each campaign that we ran.

And so now we've talked about kind of the operational side of things, but now I'm going to give you a couple of just outreach ideas based off of these interests. So Claudia showed you all the different interests that students can choose. And that information is what we want to use in outreach, especially individualized counselor outreach. Students want to feel seen. And like we saw in the student pool surveys, students want to receive information that they've given us to see. And so in doing that, we're able to see their.

Interest through ZIMI and we know what they're interested in. So if your university has a campus group or a club or anything that aligns with what students are interested in, share that with them. You know, make them feel seen, make them feel heard. Let them know that you are, you know, acknowledging what they're interested in and you're giving them that personalized content that they want.

Another example of this is utilizing interest to invite students to specific events on campus. For example, if a student is interested in sports or basketball, soccer, or anything like that, or even the arts, invite them to on campus experiences, especially if they're local students. This allows them to see that community first hand. They get an idea of that school spirit and it's all about like you're catering those personalized communication specifically.

To what they want and then finally, if your school has scholarship opportunities related to student interest, whether it be art, theater, anything like that, invite them to apply to those through that individual counselor outreach. Again, it goes back to making them feel seen. Knowing that their admissions counselor wants them to be able to financially afford or be financially supported in their journey to that university is a very good feeling for students and there's a lot of niche scholarship opportunities at schools that.

Students might not know about, so it's up to, you know, the counselor to really share that and pass along that content to them.

And then a tip, if you start to see that you're doing these communications over and over again, you can really create.

Different tool or utilize Slate tools to create snippets or content blocks for portals that really streamline your communication and engagement strategies for your admissions counselors.

So we've talked a lot about DMI data, but we also want to acknowledge the importance of that CRM data that gets fed over. So together all of these behavioral insights and all this interest information that gets filtered over from Zimi along with the CRM data paints this more complete student profile, an image of what a student's interested is, what their journey looks like, how they want to engage. And so Zimi and Slate talk together on a daily basis through an API integration and we've done some work on the.

Side to create a pathway from the Zemi Insights dashboard into the slate, your slate instance. And so as you can see in the image of the student next to the student name, there's a little icon and this icon will link you directly to the students sleep profile page. And so this kind of just goes to show you that direct the the direct back and forth between the two systems and really just showing that relationship between slate and CMI.

And so now we'll get into the powerful duo of Zemi. We've talked a lot about interest. We've talked a lot about the different data that had surfaced from those interests, the hobbies, the goals, the academic interests would see. Me also has a very powerful tool called personas. And personas are going to tell you how students think, how they act, and how they're going to respond to those communications. And together the interest and the personas are going to power a more relevant and more effective outreach.

And so now I'm going to pass it over to Courtney to talk a little bit more about personas.

Awesome. Thank you, Katie, really excited to to share this with you. Umm, I know we've got a lot of Zemi partners here, some some that are newbies, but umm, these personas are a new tool that we have that we developed alongside our sort of AI data powered dashboard called rise. And it's been really, really fun to work with partners over the last year or so, umm, to use these personas and you know, the data sort of drove us here. We didn't necessarily initially set out to.

Create another set of personas. But as our data science team was doing all of our in-depth modeling for Rise, we started to see these really incredible like, patterns and clusters fall out of the data that we knew would be really beneficial to partners. So for all of the students in Arise Partners ZME community, we have potentially 3 different personas. There's a lifestyle persona that really reflects like who a student is, their personality, their interests, how they present themselves to the world.

A behavioral persona, which is more about like how they engage and interact with others, and then a roommate persona, which is really specifically looking at how they're engaging in spaces related to like finding a roommate and that roommate quiz.

And sort of more importantly than like what these personas are and how we kind of define them are the communication tips that we've developed to help counselors and teams sort of connect with each of these personas. And this really gives like a multi dimensional view of the student when we add this to all of that like other interest data that we have.

So I think one of the most impactful ways that we can use this persona data is to bring it back into slate and add it to the student record. Once it's in slate, then you are given multiple different teams the opportunity and access to sort of harness this data so you can put it on the student record. And then individual counselors can sort of use this persona and tailor their tone and messaging when they're having one-on-one communications with students.

Your comms team can use these personas to develop different types of communications for sort of different personality types. And we'll give some examples in a second here. You can help like orientation or week of welcome teams, sort of plan more targeted events and programming. And you could, I think Katie mentioned like dynamic portal content, right? That can highlight stuff that's really relevant to students and make them feel seen starting on like day one of of their student journey.

So if we look a little at some examples of these personas, right? They, the way I think about them is they sort of help you understand how to personalize your communication, not just sort of like what you personalize in that communication. So there's a couple of examples there. We have one that's called like a hustle architect, right? And that type of student, they want like straightforward to the point, like clear messaging. And then we have another persona that's an artistic idealist.

And those students might want more like creative, narrative driven communication. So I think about like trying to get the same outcome from two different students, right. We we want as many students as possible, say, to register for admitted student day.

If you send one kind of standard, one-size-fits-all messaging to your entire admitted student population, that message is not going to like most effectively resonate with each student. But if we think about segmenting this out and say, OK, for students who are say like a hustle architect and want that straightforward communication, let's send an e-mail that kind of bullet points out, hey, on admitted student day, you can register for classes, sign up for orientation, meet with your financial aid advisor and attend.

Our, you know, roommate mixer where you can meet a potential future roommate. Boom boom boom boom.

Clear, efficient, like. That's exactly what that type of student wants.

For the artistic idealist, you may go a totally different path, right? Your communications team and you know, you have this really narrative driven e-mail, like, you know, point of view. You walk onto campus and it's a beautiful sunny day and you're surrounded by 300 of your future classmates and best friends. And today will be the first day you set foot in your new dorm that you'll call home, blah, blah, blah. I'll spare you my like, you know, creative rambling, but ultimately you get the point, right? Like that message is going to really appeal to that artistic.

List and the other message is going to appeal to that hustle architect. So you know, knowing who these students are beyond just like their interests and their behaviors and understanding like how they want to be communicated with is so effective, right? It's not just the personalization of content, it's the personalization of the delivery of that content.

And then I think we can take this one step further, and this is where I think this persona data becomes really, really powerful.

This personalization shouldn't stop with admissions, and I think this is a challenge a lot of you can probably relate to is that there's so much work in that like year or two years where you're recruiting a student to like build a relationships and like learn as much as you can about the student and their family. And there's this intense sense of personalization and then the handoff happens on campus.

And it's like everyone's starting over and having to rebuild those relationships. But here we can take this persona information and like share it across the institution, right? Academic advisors can get this information. Ras, orientation leaders, like we already did all the hard work to learn about who those students are. Why not like empower the rest of campus to use what we've learned to to improve the student experience, right? So out of this, we get more supportive conversations and better like more intentional programming.

And just a more connected student experience all around. And I think we can all agree that like if students feel that from day one, they're more likely to sort of persist and retain. And I don't know, you know, a single institution out there that wouldn't, you know, die to just increase retention by a couple of percentage points. So, you know, I think again, Claudia or Katie mentioned this specifically here talking about Arzeni personas, but this same philosophy can be applied to sort of any type of.

Persona or like categorization you're doing of of different like student types and communication tips. So I think this this is where we bring personalization into 2026, right? It's not just about mail merging name and the students major into an e-mail. You're talking about using like behavioral and real like self reported data to build those meaningful connections with students across their entire journey.

So super excited about what's possible when we combine like all of the incredible behavioral insights that we haven't seen me with the amazing tools that you have in Slate and sort of marrying those two together, I think sets everybody up for for success. So thank you guys for joining us and I think we've got plenty of time here to take some some questions.

Perfect. I'm happy to pitch a few that we got from our pre registration. So some of you had asked questions when you were, I'll go ahead and pitch them. If you're in the chat right now and you are wondering about something, don't be shy. Please let us know what you're wondering about so we can address them, uh, address those things here. So first question for you that came in from our registration would be how does Eminem data get ingested into Slate? Is it an automatic sync or is it a manual export?

Yeah, that's, that's a great question. It's automatic. We love, love, love working with Slate partners. So we work with the data teams to set up the like web services API. So we pull data on a daily basis so that everything is like super fresh on our side. And then for our pro and premier partners, we push that data back on a daily basis as well. And I think our light partners get data on a quarterly basis. So it's all automated, super clean, super simple, one time set up.

Nobody has to do anything, you know, manual on like weekly basis or anything like that.

Great question.

Awesome. Thank you if you are.

Yeah, it's.

Oh, sorry.

An echo, just go ahead and refresh your browser. That's OK, Go ahead.

Yeah, I was just going to simply add to that. We have a rock star team of data scientists here at Zimi all very well versed in Slate already have an awesome suitcase and tons of templates built out within Slate already too. So for new partners, it really is less than a 90 minute process from start to finish to get the data communicating between our systems.

Build out your community on the Zimi app and officially open it up for students so we can start gathering.

This interest data.

That is also a daily communication moving forward from there.

Great. I'll hit you with the next question, which is I haven't seen a lot of this data in my Slate incidents. How can we get it added?

Yeah, that's another good question. So obviously we we send the data back on a daily basis. Somebody does have to actually, you know, do the work to like create the field and map it. So probably at some point, you know, when if your current partner and we started our partnership, your data team made the decision like what fields that they would bring in. I think we send something like 40 odd data points for every student every day. So you know, they basically just need to create the field and then map the data from, you know, the Zini source format.

To that field and then it should automatically start flowing. So if there are things we mentioned today that you're not seeing in in your instance, that's probably just a matter of getting what the data team and getting that all mapped. And if there are any questions about that and anybody wants to do more of a deep dive, we are always happy to get, you know, me and our data teams schedule like a 1520 minute chat just to walk people through that if if they need any help.

Thank you, Courtney. OK, next we have what's your recommendation for using this data from Melt prevention?

Yeah, I I can take that one again too. I don't want to talk too much, but I mean, the first thing that comes to mind for me for malt prevention is identifying those students who are committed in your data and look like a committed student. But on Zimi have said I'm not going or I'm going to another institution. Those are like huge red flags. So again, having that data like a simple query that you can share out with your counselors is great.

You know, doing some like mass communication if your comps team wants to do that.

Though I do feel like that group is probably good for like, you know, more hand to hand combat that would probably be.

Step one and just using the data to then identify where that like personal connection is needed. You could also take some other cuts of the data, right? You could look at students who you know had a really low likelihood to commit and committed anyway, right? So like our low prediction score, but they are committed. Like are those kind of soft commits and melt risks and all these cuts of data you can do yourself. I think I mentioned, which I'll plug again, are our Rise product, which does a lot of that for you and funnels even more data back into Slate.

We have like a whole sort of melt prevention component to that tool. So stuff that you can certainly do on your end and then stuff that we can help with and doing like a more automated way for you as well.

Great. Another one we got from pre registration is thinking about our fall 27 top of funnel strategy. What is one thing we should implement using this data?

Yeah. So I think one thing that we didn't really head on is the use of checklist items. So you can always utilize checklist items and add Zimi in as one of those checklist items. Students can join your Zimi community at that top of funnel stage and it's a great opportunity for them to see that that opportunity is there for them to join in that checklist item. But also going in forming community, joining that community and seeing other students engage is probably going to increase their likelihood to apply.

Very high, so I would highly recommend that and another one.

Utilizing your website and putting Zoom on your website to really promote that you have that and you offer that community to students, I think is another great place to to hit that across all levels of the funnel.

Yeah, and it's such a win win. I think that when you get the students involved in Zimi early, right, it's a win for them. They get the community, they get the connection. But it also means we can learn so much more about them. Like, we know probably 100 times more about students in your community than the other students who are just kind of like floating out there and aren't returning to, like, an app and sending behavioral signals every single day. So the earlier you get them in, the more data we can, you know, we can collect and the more we can understand about a student and the more we can share that data back with UV Sly.

So I think it's it's a win for everybody that earlier we can get them, get them in there.

Great. And I know we have a couple from the chat.

Perhaps are you able to share if you have any Canadian clients?

We have. We have worked with Canadian clients in the past. We're absolutely willing to look at the privacy regulations you're talking about and really discuss culture fit. Obviously community is universal, Students want to engage universally. And so we would build something custom to your students, the bandwidth of your team and of course the unique enrollment goals and deadlines of your institution.

Thank you. Would you like to make any comment on we have a couple of questions surrounding graduate students. Can you talk a little bit about integration with graduate processes?

Yeah, absolutely.

Grad communities the same as undergrad communities, it's a space that's filled with all the prospective students in your funnel. We can build something unique based on your slate instance, and it's going to gather students at any funnel stage that are looking at graduate programs. It can connect them uniquely based on their program of interest.

Their assigned program coordinator, whatever that may be, and it gives these students a space to interact as they.

Move through the process of deciding to go to Graduate School. We have several partners that have community for both undergraduate students and grad students. This is a great duo. We have other partners that focus just at the grad level or just at the undergrad level.

And maybe just speaking to another question related to this, just talking about how some of our dynamic data is used at the graduate level, you know, this might be.

Looking at a pool of students who have submitted an inquiry form and being able to assess among those inquiries who is medium to high likely to actually commit to that program based on some of our modeling. Using that insight, the grad program is able to focus their e-mail campaigns, their mailing that they're sending out, or anything else to those students that are actually most likely to enroll in a program.

Rather than just the spray and pray method of casting a bunch of comms out there and hoping it hits the right student. That's just kind of one example. It's applicable beyond grad schools as well, of course.

But I think I covered those three. Are you seeing anymore, Sarah?

That's all that I see that are grad related. Any other questions that we might have in chat?

Great.

Yeah, these have been really awesome.

And Courtney, maybe if you don't mind, could you slide? I'm trying to click on the slide myself. Oh, I got it.

Just our final slide here.

Of course, if you do have questions, you can find us easily by hopping on the website. You can scan this QR code to kind of schedule some time to meet with us.

Obviously, we talked today about personalization and if you liked what you heard and it felt personal, you're really going to be in for a treat on a demo with our team. If you're not currently a partner, we have students currently in the Zemi app with interest in your institution. And so our demo is geared around sharing some of the organic insights that they have shared with each other and with us. And so would love to walk you through that.

If there's ever any interest, of course, for current partners, you know, if there's stuff that you saw here that you want to implement in your Slate instance, you want to level that up.

Connect with your PSD, connect back with Courtney. Any of us will help you out there. Would love to really make sure that you're using these two products in tandem and really optimizing these solutions together because it is possible.

Katie Courtney, any closing thoughts from you?

And Katie and I will.

I was going to say Katie and I will be at Slate Summit, so come say hello. We're presenting. We've got a Stranger Things themed session if you guys want to come to that. But also just come stop by and say hello. We're both kind of Slate nerds and would love to talk about any of this with you in in depth. It'd be great to to see some of you in person. So really excited about that in a couple weeks now.

Yeah, I'll triple down and say that I'm moderating that session, so come see it. It'll be Thursday morning. Let us know if you were in this session and you're coming to see us at Summit. Umm, let us know in the chat real quick if you're planning to come to Summit, just simply say like I'm coming or not this year or maybe say nothing. I guess let us know if you're coming just so we can get a little, uh, pulse check on who's in the chat. But otherwise I will quickly wind us down and remind you that the session has been recorded. So if you wanted to review any of this information, that's going to be possible through the Resource Center through.

Slate database, hover over the little Slate logo at the top left, choose the Resource Center, and you'll see it under Webinars and recordings. You can also share this recording with a colleague if you wanted to show them something that you saw today as a reminder. We're excited to see you now in just a few weeks. This concludes our dive deeper session. If you needed anything from the ZME team, go ahead and click that QR code. And otherwise, thank you so much for spending your time here with us this afternoon. Thanks so much to the Zimi team for a great presentation, and we'll catch you all later.

Thank you.

Thank you all.

Thank you, Sarah.

Thanks everyone.