Marketers of Technology
00:12:04 · Andres Figuera, Elizabeth Arnold
[00:12:04] S1: I missed the little bird, honestly. I missed the blue logo, everything. [00:12:09] S0: We need some more, yeah, blue logos back in our life. This black and white stuff's gotta go. So anyways, if you have all of that regular text based data, then you can layer in that video data on top of it and tell a really cohesive story about where people are, how they move from platform to platform. How does that sentiment trail from Reddit into TikTok and vice versa? Where are the trends really starting? How are they starting? Who's leading this conversation and what location and kind of demographic specificities you wanna go into. So the more multimodal that this data becomes, the better that you're gonna have more richer visual, deeper insights you can act on and move faster on. And that's a bigger thing nowadays is all these teams aren't necessarily cutting down the forty hour work week. Right? They're just saying, hey. Now you can do more. [00:12:51] S1: Exactly. [00:12:51] S0: So do more faster.
00:12:51 · Elizabeth Arnold, Andres Figuera
[00:12:51] S0: So do more faster. [00:12:53] S1: That's what I've seen that beginning to happen. Like the shift and the perspective of what a regular work day used to look like is completely different now because it's not a forty hour work week, just doing manual labor or just doing the tedious tasks that we used to do, but it's rather focusing on what matters most and allowing AI to create more time for us in order to curate and provide the human taste and whatever it outputs or whatever we're asking it to do. But Elizabeth, in terms of analysis and everything that you're learning with the data you guys have, what are the channels via which you're making sure that people see you guys and see everything you're mentioning that you're doing?
00:13:28 · Elizabeth Arnold
[00:13:28] S0: We spend a lot of time on LinkedIn. LinkedIn's a big channel, but we also do a lot of partnership work. So we work with incredible partners that are marketing agencies. We work with individual insight researchers. We work with whole community spaces where people go and we sponsor big events and dinners and things of that sort for these more niche communities of individual types of, is that what I'm looking for, personas and spaces that you're in. So a lot of that partnership work, think has been the most beneficial and most sustainable. It's been the most helpful in terms of building a category. It gives you a lot more validity, a lot more spread at really fast. Although it takes a minute to get them up to speed, the payoff of that upfront time is dramatic. And I've always seen a lot of benefits in building a really strong partnership network when you're building out a new category, when you're building out a new product, it's gonna be really helpful in the long run.
00:14:24 · Andres Figuera, Elizabeth Arnold
[00:14:24] S1: And I can only imagine because after you get those partners like really solidified and have them understand you, then that works as an organic marketing way of gaining more clients because it's referrals, it's word-of-mouth, it's them analyzing and seeing that, tell me who you're with and I'll tell you who you are. And that if you have the right partners, then you'll be viewed in that proper light. That is also something that I feel is very beneficial. And Elizabeth, in terms of you and your team internally, how big is ViralMoment and how big is the department or the team you have helping you out? [00:14:55] S0: Yes. The current team has grown exponentially since the acquisition, but when we were acquired into Sprinklr, it was two full time people front of house, two full time engineers in a flurry of contractors. [00:15:09] S1: And that was it? Oh my goodness. [00:15:11] S0: And that's it. We had people... Yeah, it was a really small, very lean team. We've had people come and go and kind of like rotate through. Of course, we've had our share of employees start and leave as any company does. But in the end, it ended up being just a handful of us to take it across the finish line. [00:15:29] S1: And is it... And is the whole team located in one location, like in The US or are you guys located around the world and work remotely? How does that look?
00:15:29 · Andres Figuera, Elizabeth Arnold
[00:15:29] S1: And is it... And is the whole team located in one location, like in The US or are you guys located around the world and work remotely? How does that look? [00:15:37] S0: We all work remotely. Funny thing is that the two founders and myself all live in California, just ironically, but in different parts of the state. California is a real big state, so it takes a while to get to each other. We have one other person that lives over on the East Coast, and then everyone else is actually a contracting team out of The Philippines. [00:15:53] S1: Okay. And [00:15:54] S0: they're amazing. The work is incredible. I love that team. They're fabulous. [00:15:59] S1: People in The Philippines know their stuff and they really help us out even with following the sun just to make sure that they can take care of the hours that we're sleeping and just have an all around service that we can provide with any tech or any type of software, that is amazing. And I also see the value in having teammates over there. And Elizabeth, now I would also love to know is, I understand the company itself leverages a lot of AI. You have a lean team that has grown bigger since the acquisition by Sprinklr, right? But how are you leveraging AI in your day to day? Like with the tasks you need to do with your team, how is that looking for you guys? [00:16:34] S0: Yeah, outside of the basic LLM prompting to help me build out cool looking slides. [00:16:38] S1: 15 agents doing everything as well.
00:16:38 · Andres Figuera, Elizabeth Arnold
[00:16:38] S1: 15 agents doing everything as well. [00:16:41] S0: Have agents do everything. There's a whole lot of stuff that we're building as well just on the side internally trying to figure out what are some templates we can use to make it more seamless to combine all of these new features into one cohesive unit for the service teams to understand and the sales teams to understand what is it that we can do to make whole playbooks better available to clients. We're using a lot of AI in order to understand how can we actually build agents with the data to be able to just inform that data. Can I have an agent that just comes out and says, Hey, every week, here's your brand report? It looks exactly like how you would brand it for your company. This is exactly what we're building and how we're shipping it out. So building a lot of these different types of basically fast track ways you could do your job faster with the data at hand because as you need to move more.