In short
How marketers can experiment with AI “without panic,” using a playful, curiosity-driven mindset to save time, spark creativity, and future-proof careers while keeping human judgment and strategy central.
Guest
Michele (Michelle) Nieberding, Director of Product Marketing at Treasure Data. Background includes being a solo/founding product marketer at a small tech startup and sharing AI experiments and lessons on LinkedIn. She positions herself as an AI enthusiast (not an expert).
Key claims
Panic leads to paralysis; try low-hanging experiments. AI can handle repeatable tasks, but humans must own workflow design, prompting, experimental judgment, and narrative/creative direction. AI will improve one-to-one personalization and customer-journey customization; marketing KPIs may shift from MQLs toward revenue as “digital employees/agents” handle more funnel work.
Notable examples
Alphana for end-to-end product launch assets; Opus Clip to turn webinars into ranked social snippets; Retelio for voice-of-customer insights and testimonial surfacing (Slack notifications); tools for KPI/talk-track analysis like Tribal and content-question overlap via AlphaSense; LinkedIn ad libraries for campaign idea research; comparisons of ChatGPT/Gemini/Claude prompts.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOMeet Michele Nieberding
0:45 to 1:40
Tamara introduces Michele Nieberding and her mission with AI for marketers.
“Today, we talk about how marketers can use AI to spark creativity, save time, and future-proof their careers without losing the human touch.”
The Spark of Curiosity for AI
1:40 to 3:25
Michele shares her journey into AI and how it enhances her marketing role.
“I was so excited for this episode because I have been following your content and I cannot wait to pick your brain all episode long.”
The Play vs. Panic Approach
3:25 to 5:34
Michele discusses the importance of a playful mindset when using AI in marketing.
“It changes every day, but enthusiast for sure.”
AI Limitations and Human Touch
5:34 to 6:16
The hosts reflect on the limitations of AI tools and the continued need for human marketers.
“Like it's, I don't know, maybe kind of like sports.”
Exploring AI Tools for Marketers
6:16 to 7:20
Tamara and Michele discuss practical AI tools marketers can use today.
“I'm still, it's so, there's so many good stories of like them.”
Lightning Round of AI Tools
7:20 to 13:20
Michele shares recommendations for various marketing tasks using AI tools.
“So today I want to make sure that in the episode, we go a little bit into how marketers can start exploring tools.”
Utilizing AI for Campaign Ideas
14:00 to 17:26
Learn how to effectively generate campaign ideas using customer insights and AI tools.
“So it'll show you the creative, the messaging that they're using in the analytics.”
An Analysis of KPIs with AI Tools
17:26 to 19:47
Explore various AI tools for tracking and analyzing KPIs to improve marketing performance.
“And so to do that, I want to dig into some of the content you do create.”
Exploring Creative Content Strategies
19:47 to 22:36
Discover creative strategies for content creation and experimentation using AI.
“I have turned so many things into like fun vibe coding worlds.”
Building a Personal Tool Strategy
22:36 to 25:53
Understand how to build a personal system for exploring AI tools and making time for experimentation.
“Especially if, if you're just going into it with the mindset of like, I need to learn this tool as fast as possible.”
Show all 16 chapters
The Future of AI in Marketing
25:53 to 28:00
Examine the evolving role of AI in marketing and the importance of maintaining a human touch.
“Um, so, I mean, you've obviously tried so many different tools, probably more than almost anyone else that I know.”
The Evolution of Personalization in Marketing
28:00 to 29:19
Explore how AI is transforming marketing personalization from segments to one-to-one interactions.
“cart journey and you do it for, I don't know, in-store, whatever you like copy and reuse.”
Measuring Marketing Success in an AI World
29:20 to 30:46
Discuss the potential shift from MQLs to revenue-focused metrics in marketing.
“And I've been thinking about like personalization since I worked at Unbounce because we're obviously thinking about landing pages and how to get the right message to the right person.”
The Role of Digital Employees in Marketing
30:47 to 33:19
Examine the impact of AI agents and digital employees on marketing strategies and team structures.
“And they will continue to do so as we roll out more agents as well, right?”
The Importance of Human Oversight
33:20 to 35:01
Understand why human judgment and oversight remain crucial despite advancements in AI.
“Well, and even going back to some of your earlier comments around like what marketers will still be unique for, right?”
Final Thoughts on AI in Marketing
35:02 to 37:04
Hear reassurances for marketers about job security and the evolving role of creativity.
“we're going to embrace like the fact that we're always going to be needed as marketers.”
Transcript
Automatic transcript. May contain errors.0:00Hey besties, welcome back to another episode of the Marketing Millennials. I'm Tamara Griminski and I'm stepping in as your guest host while Daniel's out on paternity leave. I'm a career product marketing leader and the former VP of PMM at high growth startups like Kajabi and Unbounce. Now I'm the founder of PMM Camp, a community and newsletter for product marketing leaders. And while Daniel's off doing dad things, I'll be here bringing you fun conversations with some of the smartest marketers I know. Today, I'm joined by Michelle Nieberding, the Director of Product Marketing at Treasure Data.
0:31Michelle is a marketer on a mission to help her peers ditch the fear, get curious, and have fun with AI. She's been hands-on with the latest tools, sharing experiments, wins, and lessons with her network on LinkedIn. It's some of my favorite content to consume. Today, we talk about how marketers can use AI to spark creativity, save time, and future-proof their careers without losing the human touch. Plus, we do a fun little lightning round where Michelle shares her favorite tools to solve specific marketing challenges I throw at her, leaving you with a list of new tools to try ASAP. Welcome to the Marketing Millennials, the no BS marketing podcast.
1:14I'm Daniel Murray, and join me for unfiltered conversations with the brains behind marketing's coolest companies. The one request I tell our guests, stories or it didn't happen. Get ready to turn the f*** up.
1:33Michele Nieberding:Michelle, welcome to the show. Thank you. I'm so excited to be here. Thanks for having me. You are very welcome. I was so excited for this episode because I have been following your content and I cannot wait to pick your brain all episode long. For those that don't know, you have been really openly exploring AI, and specifically AI for marketers, and sharing what you've been learning along the way, mostly on LinkedIn. And I'm just curious, like, what first kind of sparked your curiosity for this in the first place? Yeah. So a couple of things. So I was at a 30-person startup, tech startup, because of course, and I was the only product marketer.
2:17Michele Nieberding:So a solo and founding product marketer on a marketing team of two. So my boss, like God bless them, I'm handling a lot of event logistics and some like paid digital things like totally out of my wheelhouse. But to support marketing slash product marketing at a startup, you kind of have to figure things out, right? And I was like, okay, I'm seeing AI everywhere and all these tools. And like, I just I love tech. I'm, you know, in tech for a reason, I guess. But I'm like, if this can help me do either the things that I don't love about my job or things that take a lot of time or speed up the process because like time is money.
2:51Michele Nieberding:And when you're at a start, you have to move really, really quickly to make sure, you know, you, you get the deals. And at the time we were focused on enterprise. So that's like a whole nother can of worms, but, um, it was just really fun to play around with tools and figure out, okay, what is actually going to help me do my job better and faster and like really make a difference in what we were doing as a very small team of two. Um, so I just got really into like, again, tinkering and learning and playing around. And at the end of the day, like, holy cow, this is going to make my life so much easier.
3:20Michele Nieberding:I just had a lot of fun with it. So it was kind of like out of necessity, but now it's become just like a fun hobby. I say I'm an AI enthusiast, not an expert. It changes every day, but enthusiast for sure. It's fun to play around with. I love it. And I'm sure everyone can already tell the energy that you bring to this. And I think, no, and I think that is one of the reasons I love your content so much because I mean, AI, it's freaking us all out. Let's just be honest, right? It's changing the job. As you said, every day it's changing. I think there's a lot of questions around what does this mean for marketing?
3:51What does this mean for tech? And so often people that I see covering AI take this more fearful approach. And I love your content because I say that it feels playful, right? And that you approach it from this place of play rather than panic. And so I'm just curious about, have you even thought about that as the mindset that you are taking? Or how are you advising other marketers to think about AI so that they're not becoming overwhelmed?
4:21Michele Nieberding:Sure. Yeah. I mean, it's this idea of like play and panic. I'm not sure. It initially crossed my mind, which is almost ironic as like an anxious control type A person. Like it's kind of funny that like I think my normal mindset out of and out of sight of my professional life is maybe panic anxiety and panic it's fine we're fine um but when it comes to AI I feel like if we're we're panicking that's when we go into like paralysis right like we're too afraid to try anything new um we kind of freeze we overanalyze and you it just becomes your worst enemy like it becomes hard to even you know try out kind of low-hanging fruit of maybe tools that you already have as a marketer because you're so, you know, worried about like, is it going to take my job?
5:05Michele Nieberding:It's like, is it going to mess up something in the database? I mean, we do have those moments. We have, you know, those ideas of like what is stopping us from really pursuing this. But when you take the playful approach and like inquisitive approach and just like try things, I've spent too many hours on AI tools that like don't work. You know, I mean, you're going to have those moments, but like when you find the ones that do and you get into like, you get into your AI groove and you're like, wow, why didn't I do this, you know, three weeks ago? It just makes all the difference. Like it's, I don't know, maybe kind of like sports.
5:36Michele Nieberding:Like you're learning a sport. It can feel really daunting at first. And like, you might not be amazing at it, but then you like start to get good. For me, I've been learning golf and you hit that one good shot and you're like, this is the most amazing thing ever. So I feel like you just keep that mentality as you learn anything new and it becomes more manageable. Yeah. I think like approaching with curiosity definitely makes things more fun. And I know even in my experience playing around with AI tools, and I've not done it to the extent that you have, but you start to hit those limitations, as you mentioned, and it's almost reassuring in a way.
6:09It's like, okay, it's not quite there yet, at least not for everything. Like I still have a place here, you know?
6:16Michele Nieberding:Yes, they still need me. I'm still, it's so, there's so many good stories of like them. So, okay, here, we'll take, we'll, we'll throw it back to like when first AI first came out and it was like image generation, everything, right? We're doing this for images. I just, there's so many like memes and good stuff out there with like the hands that are just like morphed into each other. I'm like, this is my vibe right now. Like, this is great. They still need me and my designers and my, you know, graphic people to actually make hands. Like, sure, yeah, it's going to get better. But even where we are now, I know a lot of people are using Google's Notebook LM for like taking text and turning into like a podcast style interview, something like this.
6:55Michele Nieberding:Guess what? they still need podcasts. So if you use Google Notebook LM, it's funny. So when I was testing it for like an internal enablement project, the like person A and person B, they swapped genders in the middle of the podcast. And it's like, oh, okay. Like that's not confusing at all. So yes, there's lots of stories where you're like, still need us. Thank you very much. Yeah. Yes. We are still required for a little bit longer. So today I want to make sure that in the episode, we go a little bit into how marketers can start exploring tools. But before we get there, I want to make sure that people are able to walk away with at least one thing that they can try before the end of the week.
7:36So I thought it might be fun if we did a little lightning round. So I'm going to give you a marketing task, and then you tell me the tool that you would try and maybe like one tip or something for making that tool work. Totally. How does that sound?
7:53Michele Nieberding:It's like speed dating. Let's do it. Exactly. Okay. Let's speed date that AI. Okay. First one, writing copy for a product launch email. So two thoughts here. One, if you have a video already, so you have a video with your product marketer, a product person, CEO, something like that. I would use, it's called Alphana, A-L-P-H-A-N-A. Put the video in and you get everything beyond just a launch email. You'll get everything you need for a launch. So press release, web page, FAQ, social copy, everything, including a product launch email. So the reason I like Alphana is you see it all together and you're like, yes, no, yes, no, like figure it out as a project, not just a launch email when a launch email is part of a brother launch, right?
8:37Michele Nieberding:So like amazing for that. If you want copy to copy, I don't know, kind of boring, but true. Gemini or Claude, I think, or sorry, chat gpt or clod are better for that um you can use gemini but um i think it's i don't know we have a love hate on chat gpt5 i don't think this is good for some of the like more in-depth um content but try that and so um tips on using that like give the tone give the style give like the output that you want to be very very descriptive on what you want to get out of that and when in doubt if you're not sure about your prompt you want to make your prompt better There's a site called Prompt Genie.
9:19Michele Nieberding:I hear there's one called Prompt Cowboy. I haven't tried it, but Prompt Genie will take, I mean, anything. If you just say, hey, write a product launch email with this, it'll make your prompt so much better for ChatTPT or Cloud or wherever you're putting that. So 10 out of 10 recommend. I love that. And Alfana is on my list of tools to try. I know you had recommended that to me before. Okay, I mean, maybe your next answer is also gonna be Alfana, but repurposing a webinar into social content. So see, here's where AI is tricky. Like there's a tool for everything. So for this one, I would actually recommend it's called Opus Clip.
9:54Michele Nieberding:You put in the webinar and what's really cool about it is it'll split an entire webinar. I think it's like up to three hours into little social snippets. So it's like 30 to 90 seconds. It does all the transcription and then it ranks every clip of what it thinks will be like most viral. So it'll give you like the topic of what was discussed in that clip. Again, the transcript, it's the transcripts on the video, but it'll rank it for you and you get to see why it ranked it from zero to a hundred on like how viral it'll go. But it's cool to see what it'll pull out. And you say yes, no, or like maybe I don't look good in that clip, go to the next one.
10:28Michele Nieberding:But it's all like full inventory library ready to go with just an uploaded webinar. I love that. I wonder how it like closes the feedback loop of what actually does go viral or get performance. That would be cool to like connect that. Yeah, an analytics layer would be interesting or even like an integration, right? Like if you could take that clip and then share it directly out to your channels. Right now it's like a download and then paste into your channels. But yeah, an analytics layer would be huge. We'll have to let them know. Yeah, we'll give them the feedback. We'll let them know, yeah.
11:01The next one is analyzing customer feedback to find insights.
11:07Michele Nieberding:So I always laugh about this one because I'm like, it is shocking to me how hard it is to get access to our customers. sometimes like it shouldn't be. So I'll, I'll, I will leave that out there for the ether to, to think about. But, um, one of my favorite new tools for this is called Retelio. And it is like an analytics layer that you put on top of like your, your gong, your course. So your call recordings, your CRM and your support tickets. So it's like a nice way to collect all of the voice of the customer. But what Retelio does really well is it'll give you like prebuilt buckets, like templates to put all of, to categorize all of that information.
11:43Michele Nieberding:So all the customer feedback, qualitative data that you're getting, it'll pull out things like, what objections are you getting? Are there product suggestions, product recommendations? Are there bugs that need to be fixed? And they actually routes those bug issues to the appropriate place. Like it's really cool because it'll take all that and give you those categories. One of the best one for marketers, I just met with the founder, he's, he's seen a lot of marketers pick this up is customer testimonials. So like those gold nuggets that we all know and love. So it'll surface all of the customer testimonials and it'll tell you again, it'll rank it by like what it thinks is most social or what, you know, it's the best for social.
12:22Michele Nieberding:But what's even cooler, I think, I love a Slack integration. Like anything, God, like I live and breathe in Slack, like who doesn't these days, but it'll give a notification anytime a good testimonial pops up, it can integrate, send it straight into a Slack channel. And then you can even do like, bring all of this into a podcast. So your executives, if they want to hear like the best customer testimonials of the week or like what went wrong in customer calls that week, it'll collect everything, put it into that like podcast style section. And your execs can listen to like, again, all the good, all the bad, all the ugly every week, every month, how often that they want.
12:58Michele Nieberding:It's just kind of like an audio list that you just get through, which is like really cool. because again, you don't have to bring all that together. You don't have to go dig out these quotes. You just get the quotes, go to the customer, get approval, move on. Thank God. Yeah, I love it. That's like voice of customer like cranked up that I definitely will check out. On steroids, yeah. I like heard about last week. I'm like, yep, sign me up. Like, let's go. As a Gong fangirl, I just sent me some better analytics. I was using filters, just manual filters forever. And this is like so much cooler. It's a good time.
13:30Okay, a few more.
13:32Michele Nieberding:Uh, generating creative campaign ideas. So I have a lot of thoughts on this one because there's a lot of places you can get it again, like chat GPT or Claude, like, fine. I think when it comes up with creating creative campaign ideas, what's most important here is really the prompts that you're putting into those. um so for example if you want to take some of those testimonials or calls that you're getting and then put them into maybe perplexity or something a little more secure that's a whole other thing um but you want like the voice of the customer to then help come up or generate those campaign ideas that's a good idea to do it but again the prompt has to be like really really thoughtful here um because sometimes i think it gets everything starts to sound like everything else right similar to a blog post you put in like a traditional prompt you're going to get something spit out that's like everybody else.
14:23Michele Nieberding:So that's one thing to look at. And the second thing, it's not AI, but if you're going to do something on LinkedIn, you can literally look at LinkedIn ads and come up and you can see all of your either competitors, if you put in a company name, or if you put in a category or a vertical, it will show you all the ads within that space and their performance. So it'll show you the creative, the messaging that they're using in the analytics. So if you want ideas, just kind of like what's working on LinkedIn, easy way to do that. I love that. I've used Facebook ads before to go, but I've not done that on LinkedIn.
14:55So that's a great one. Easy. Yeah.
14:58Michele Nieberding:Full of them. We've got plenty. Okay. One more, and then we're going to go a little deeper. So the last one is tracking and analyzing KPIs. So I have not yet. And this is one I'm curious if anyone else has found a good one, found a good AI tool for this specifically. I'm still like, use your BI dashboards, your Tableaus, your product ops, whatever, marketing ops teams are still, I think, the best at pulling this together. Now, there's certain other things that you want to track outside of your kind of typical KPIs, right? Outside of your product adoption and retention and things like that, right?
15:36Michele Nieberding:There's one called Tribal. So that is really good at pulling out kind of stats around what is being said. So what messaging, competitive mentions, things like that. but it's more of like talk track. So if you want to know what talk track that's working and how that talk track goes through the deal cycle. So from, you know, first call to potentially close or close lost, you can kind of track what that message is for the calls that you're winning and losing more often. So that's kind of interesting. The other one that's interesting is there's a company called Alpha Sense. So not to be confused with Alphana, but this one will index all of your content and then index your calls to understand what questions are you getting asked the most from your customers and prospects and objections.
16:23Michele Nieberding:And it'll like link it with your content to say, okay, is your content proactively answering these questions or objections? And it'll give you, I mean, I love a good like pie chart, right? It'll show you what that overlap is or what it isn't. So if you're like really under indexing on a certain, again, a question or objection, it'll tell you that. So you can then write content to proactively address that, which makes sales easier, which makes the whole process easier. I'm really big on trying to close, you know, make deal cycles smaller and faster, right? So that's a really kind of underappreciated gem when it comes to making sure your content's like addressing the right pain points and not just like continuing to write content to write content.
17:00Michele Nieberding:So some interesting other things to try and track. I love it. You crushed the lightning round. Good job. Tons of awesome tools that I'm sure people have not heard of before. So I'm excited for everyone to give them a try. But now I want to kind of pick your brain a bit on how we as listeners can really start to build this kind of muscle ourselves of exploring, playing. And so to do that, I want to dig into some of the content you do create. So you have these amazing, I'm going to call them series on LinkedIn. They're like little weekly things that you do. One of them's called PMM hacks. One is like prompt of the week.
17:39And I always look forward to them. I think they're awesome. So please keep creating. But I'm curious if you could share maybe one post or experiment that have been one of your favorites to share or that maybe your audience has resonated with the most.
17:53Michele Nieberding:Yeah. Oh, my gosh. So many thoughts and ideas here. I would say one thing as you're either dipping your toe in or learning what to explore yourself, how to get started, I would say two things. One, find a pain point. What are you really struggling with? Again, what takes a lot of time and then literally search, I mean, chat GPT or Google of like AI tools that do this image generation, customer journey mapping, journey optimization, whatever, like start there and try things out. The reason I say that is because one of my favorite things that I do that I think people appreciate is like comparisons.
18:28Michele Nieberding:Now, it's funny because as a product marketer, you know, I have a love hate with like feature comparison charts. Like there's I don't know, I have a love hate with then I don't know how you feel about it. But I do as well. Okay, okay. We're on the same page. But ironically, one of the favorite things I love to do is to compare AI tools against each other and what is good for what reason. Or if this one's similar to that AI tool, like when should you use it? Or what are the pros, the cons, the limitations, things like that? So even if it's as simple as pulling up a tab for like chat GBT versus cloud versus Gemini, right?
19:00Michele Nieberding:And putting in the same prompt and just seeing side by side what it spits out, like similar for tools, right? So if I know one tool is slightly better at one thing than the other, you know, those use cases start to like help deliver better results faster within that tool. Now, where things get interesting is how you start pulling that into workflows. So there's like custom GBTs, and then there's agents, and then there's workflows, right? They kind of like build on each other. And once you've figured out like, what tools are good, what custom GBTs are good, then you can start building agents. And then you turn those agents into workflows.
19:33Michele Nieberding:That's like when some magic happens. So I say that because there's just so much to test out. And some of the content I love, again, are those comparisons, what works well and what doesn't. But then if there's something that really doesn't work for your use case, you can really dig in and start trying new things. So like vibe coding with lovable. I have turned so many things into like fun vibe coding worlds. If you haven't tried it, like absolutely. I've done like bachelorette itineraries on lovable that are like interactive. So personal use, like try it for something fun just to like see what happens, like travel itineraries, things like that.
20:04Michele Nieberding:Because then you'll see how cool this can be used like in other ways. So I'm sure Jonathan Pepeks probably reached out to you or Zach Roberts from We're Not Marketers, like they've done some really cool things with lovable for product launches. So they turn it into like a microsite of like, here's the pre, during and post launch assets. And here's what to say. And here's how to share like, so I say this because there's so many cool ways that I'm starting to get more into like the workflows and the vibe coding world in terms of like content I'm sharing or things that I'm learning. But there's just like, again, so many fun things to try.
20:37Michele Nieberding:So if you're like, I'm not sure how I feel about this for work, try it for something personal. And I think you'll probably get addicted because it is really fun to play around with. I love that. Two things I'm kind of taking away from what you said. The first one was if you can isolate a problem that you have that you want to try to solve, that's going to give you a good starting point. Because I definitely resonate. Like sometimes I just have the mindset, like I need to use AI more or I want to feel more comfortable with AI, but it's like, okay, well, where do I start with that? So I think that's really great advice.
Read the full transcript
21:05And then the second one I love of find something in your personal life. I've definitely done that. Um, you know, explored, uh, like a cooking with chat GPT. So like, I'm like, Hey, help me figure out like recipes for the week. Ask me a bunch of questions to understand like my food preferences, my meal, like cuisine preferences, how much I want to spend. And that was like actually a really fun way of understanding like how ChatGPT folders worked and what level of content I should include. And you kind of go down the rabbit hole and then you get excited about like, oh, that was fun. How do I apply that to maybe a more work environment?
21:42Michele Nieberding:Yeah. Oh my, the recipe one. Oh, even like Siri, if you say what ingredients you have in your fridge, it'll like suggest a recipe to make that. And I'm like, I am not a cook. Thank you. I need all the help I can get. Or like budgeting, like personal finances. And you're like, I, you know, I don't know. I spend too much on Amazon. Like help me build a budget. And like, you can then vibe code that into like a personal budget optimizer. Like there's that, like, again, yeah, you totally get hooked. The recipe one's like 10 out of 10. That's a great way to do it. So fun, right? Okay. I'm curious about how you think about building like your own personal system for trying tools.
22:19Let me explain what I mean by that. It's like, again, we're marketers. We're very busy. We often have so many different requests coming in from so many different teams that like, okay, maybe I've identified the problem I want to solve, but like setting aside the time to do that because it does require play, right? Especially if, if you're just going into it with the mindset of like, I need to learn this tool as fast as possible. That's different. But I think what we're talking about in this episode is how do we embrace play? How do we have fun with this? And I think that requires time. And so I'm just curious, do you have like time set aside every day for this?
22:52Or how do you both discover new tools and then like make the space to play with those tools? Yes.
23:02Michele Nieberding:It's like a work hard, play hard thing. So there's a couple of routes I go before maybe I personally start trying to figure out. So like one, like ask people, crowdsource, like I think, what was it last week, two weeks ago, I literally asked, does anyone have a good AI tool for measuring KPIs, right? Like, people have tried this, have done this, like, I've certainly not tried everything. And so I look for people that have, you know, tried it, and then they start sharing really good examples. So like, if it's something totally unique, ask, you know, ask people, see what they've tried, what work, what hasn't worked, it'll give you a good starting point, or they'll help lead you in the right direction early on.
23:37Michele Nieberding:The second thing I would say is, like, embrace the tools you already have as marketing team. You may have like, I don't know, a CRM or like Gong. Use AI in the tools that you already have because that will get you a good entry point into what is out there, what you can use. Again, you're not like asking for more budget, for more tools and things like that. It's just an easy way that you've already have the tool. Use AI. I think marketers, if you have Figma or Canva, for example, the AI in there for like image generation or like AI carousels, if you're a marketer handing social, like, there are so many really easy ones to try there.
24:12Michele Nieberding:And then it again, starts to help you think like, what else can I do with this? Or what else do I need? So that's two. And then three, there's there are really good agent marketplaces out there. So if you aren't ready to build an agent, and you want to see what exists, or use something that already exists, there's really good marketplaces like agent.ai. And I heard, I think Maven is another one that you can just search, you know, for example, as a product marketer, like ICP generator or competitive intelligence agent, just to see what's out there and kind of understand what other people are building is a really great place to try to.
24:47Michele Nieberding:Now, in terms of timing and how the heck do you make time for this? Hopefully those three steps can get you to where you need to be faster, at least to try something. I am a bit of a tech nerd. So that's why I enjoy, I do, I'm at night, I'm like, like, I wonder if this was cool or I'll see like a mention of a new AI startup. And I'm like, okay, this looks interesting. Now I will say, I think I mentioned this earlier, like I don't want to say I've been burned, but like I've tried AI tools that just aren't up to par yet. And like, I will give founders that feedback. But like, again, the best thing about like a marketing millennials or like ecosystems and communities like that is you can learn from each other.
25:26Michele Nieberding:And And that gets us to where we need to be faster. But yes, I am a little bit of a tech nerd. And if I see a new tool that I think will help me, I will try it out. But then I will let everyone know what I personally think of it for my use cases. And I think the more we can all do this, the better, you know, the tools we'll get and the better we can all learn together. So. Yeah, I agree. I think like anything in life, you're going to get the best recommendations from people you already know and trust. So that makes total sense. From restaurants to AI and everything in between. Literally. I need good sushi.
25:54Michele Nieberding:Like, let me know. Um, so, I mean, you've obviously tried so many different tools, probably more than almost anyone else that I know. I would love to just like get your perspective on where, and it doesn't have to be specific tools. It could be like categories of work for marketers. Where is AI like really changing the game versus where are we still having an edge as marketers and humans? Sure. Um, so I guess the second point first, I think, I think we will always have, especially a strategic edge. So as AI gets better with, I don't know, image generation or some content, like we will always have a creative and strategic edge.
26:33Michele Nieberding:And like, I really encourage and I'm excited about like everyone on this, you know, listening is like, don't forget that, like don't use that creative edge because I mean, just okay, let's take blog posts, for example, right? If someone inputs, write a blog post about X topic, guess what? You're not the only one putting that prompt in and everything that gets spit out sounds exactly the same. I mean, I know we all joke about this, but this like the juxtaposition, the em dash is like, it's very, very clear when something has been written and posted that is copy and paste from chat GPT. Like we're all triggered, right?
27:03Michele Nieberding:We know those posts. And so you can't lose that human touch because again, you will literally sound like everyone else. And not only that, but like, I don't know, remember now I'm dating myself the days where you had like turnitin.com and it would say if something was plagiarized or not, like even LinkedIn is getting better about tagging things as AI generated, which I think is fine and I highly encourage it, but as marketers, we need to keep that creative flair. I mean, that's probably why we got into marketing, right? So like that's still very, very important. Where I think AI will get really good that I'm really excited about for marketing is truly that like customer journey.
27:38Michele Nieberding:So historically, we've been the ones to say, I don't know, in any kind of engagement platform, right? You have like, they do this, then they get this email or this text message and they do this and you give them like an abandoned cart email. Like it's very, I think historically, um, it's very manual and it's very kind of everything's the same. You copy one journey into a different channel or, um, you take a abandoned cart journey and you do it for, I don't know, in-store, whatever you like copy and reuse. And it's so manual. Um, I think where AI is getting really, really good. I'm excited about is like really customizing that journey for a person, like one-to-one.
28:17Michele Nieberding:I think we're finally getting to what we all wanted one-to-one personalization to be versus like one-to-many, like even segments. It's still a group. Like Tamara and I might have very different, we might both love, I don't know, Ann Taylor, but have very different preferences on what we like or when we shop or how we shop. And so I think while we're still in the world of building segments, the only reason we're still there is because we've been limited by technology. And I see AI finally getting us to the point where marketing is going to be one-to-one. And we're still the ones coming up with ideas and variations and campaigns.
28:49Michele Nieberding:And what's going to make that one-to-one interaction more interesting and meaningful is where we'll still definitely play a huge role. But we'll finally get to the point where, oh my gosh, we're talking to everyone like a real human and what we've been talking about forever. What we've wanted, it's finally coming. And I hope everyone's embracing that because as a consumer, I'm thrilled about it. I'm like, take my date and like, give me something really personal. Like finally, because I still can't think of a brand or a company that truly does that well. So I'm excited. I love that. Honestly, like big segmentation fan myself.
29:21And I've been thinking about like personalization since I worked at Unbounce because we're obviously thinking about landing pages and how to get the right message to the right person. And I agree. Like I've studied so many companies doing this. I've tried to do this myself as a marketer. and it is still like half there, you know? Same thing with attribution. It's like, we can kind of get close, but I do think that both attribution and this like personalized messaging experience will both be solved with AI, which I am very excited about.
29:51Michele Nieberding:Oh my gosh, yeah. I mean, even like, so here's the thought and I'd love your take. I don't know, now we're gonna flip the script, but like, so MQLs, we all know and love them. We probably still have goals. In a world of AI, do we think we're still measuring on MQLs or it'll become easier because like I've seen a lot of good if you need to be careful to do it right like a lot of good personalized outreach using AI right so you typically sales will have done that but if you're like a marketer you know you're finding your ICPs using AI you're sending personalized messages again some are hit or miss some tools are better than others but do you think in the world of AI are we still going to be measured on MQLs and maybe it'll get easier or do you think there's something else that like we'll start thinking about?
30:33Michele Nieberding:I don't know. Like, will marketing be more focused on revenue? Like, I don't know. Conversions always, but like, I don't know. Yeah. It's a great question. I've definitely given it some thought as well. And I mean, I think there's a couple of factors. First of all, teams are flattening. We know that, right? And they will continue to do so as we roll out more agents as well, right? Like there will be digital employees. I think it's very clear we're going that direction. And I do think as individual employees, like as a director of marketing, will I be measured on MQLs? I don't think so anymore because to your point, I think in the not so far future, we will have most of those activities done by digital employees.
31:14So I think to bring it back to the flatter kind of smaller teams, I think there will be smaller teams of more leaders and strategic marketers. And maybe that's like, there is still someone doing different types of marketing or sales and marketing, whatever it might be. And I do think it's going to be more like a revenue KPI personally. And we're going to be like, great. Like we as the humans are accountable for like earning the final dollar, let's call it. And, you know, we are using our team of digital employees and tools and some, you know, human employees as well to like build and move people down the funnel.
31:50But I think we won't measure our success as marketing teams by that anymore.
31:54Michele Nieberding:Yeah. I mean, I'm thrilled. I have a love-hate relationship with. So I mean, that excites me, right? I mean, it is as, you know, if you're uncertain about agents or like having an agent digital employee on your team, like I can say I've really had fun with it. Like they are as good as you make them. Like ultimately you have the control over what is the output what is the input like you can make it as as powerful or as you know chill as simple as you want it and so without a good prompt without people like building these without understanding how these agents work together you know what what could our agents um yeah i know we have like a fun we just had like an agent hackathon internally and like we have a little ecosystem that we build within glean which is like our internal AI search.
32:44Michele Nieberding:I love it's a fun one to build agents in. But I guess I say that because like, again, like this, like you're kind of choosing your own adventure and kind of choosing your destiny here. So if you want to get ahead of what that what your digital team looks like, which is really support for you, you know, start thinking about starting about use cases or roadmaps or again, ask what what agents your marketing peers are using right now to make their jobs easier. Because Like, I don't know, not to quote Ricky Bobby, but like, if you're not first, you're last, right? Like, you don't want to be the last person to use an agent to make your life easier when your competitors are.
33:19Michele Nieberding:So yeah, I'm not clearly not competitive at all, but it's fun. So like, give it a try. I love it. Well, and even going back to some of your earlier comments around like what marketers will still be unique for, right? I think we talked about strategy, but I'll also just say like marketing foundations, like someone still needs to understand human psychology. Someone still needs to understand like how to sell to humans, right? Like what, what message do you give at what point in time? How do you convert someone in order to construct the system of agents that will carry that out? And so I think we're still a very far way away from being able to replicate that level of understanding and thinking when it comes to marketing strategy and humans.
34:04Michele Nieberding:Oh my gosh, that and like hallucinations by AI is so real. Like, let's, I'm like PTSD here. I don't know if you probably heard about the replet drama, the vibe coding platform that deleted like an entire database and then lied about it. Oh my God. If anyone sees the chat transcript, it's like sadly hilarious that, you know, AI not only can do stuff like that, but like hallucinations are so real and a human needs to catch that. And I think that will continue to be the case because if companies relied on all agents to like do marketing and content generation and like the delivery of that, literally every company would sound the same.
34:42Michele Nieberding:Like there would be no conversation of what's different or it would hallucinate. And then that hallucination would just like triple quadruple. I mean, it just gets worse and worse. And so like we definitely need humans beyond. I mean, you know, I need I need leaders and someone to help me with what I'm doing. and so do agents. So. Totally. I love how we started this episode and I was like, we're not, we're going to embrace like the fact that we're always going to be needed as marketers. And somehow we've ended this with a prediction that like digital employees are going to take over our jobs. So.
35:14No, no. But I want to make sure we're leaving everyone on a high note. So if there are people who are listening and maybe not from our conversation, but just from in general, they have that anxiety of like, I am going to be replaced. What kind of final words do you have for them to reassure them?
35:32Michele Nieberding:Yeah, I think first and foremost, like AI will handle repeatable tasks that you don't want to do, right? Like this is your ability to push some of that stuff onto an agent that you don't, maybe it's your favorite part of our job or time consuming, right? Like you ultimately own the workflow that handles the inputs that then creates the outcomes. Like you're designing the system and how things work together and you keep the judgment at the end of the day. So you still have to be in the loop. Otherwise, it's like you're letting like it's like what they see in the movies, like things don't end well in the movies because of, you know, just letting that go.
36:08Michele Nieberding:So like, that's absolutely still hugely important. I think the other thing to think about is like you also own the narrative design, you own the experimental design as you're trying these things, the prompting that you're doing. So again, everything that goes into these agents are led by humans. Yes, I think eventually there will be agentic learning and reinforcement learning and agents will be able to bring in context into what they're doing, but you still have to build them in the ecosystems and the workflows that they live in and work in. So yeah, I mean, again, get your hands dirty, give one or two a try, just personal, professional, whatever.
36:47Michele Nieberding:And the community is here to help. No one's been, you know, like there are still so many things that you need to have your hands on as a human. I love it. Well, this has been such a fun episode. Honestly, so many like real practical things that I know I want to try, and I'm sure our listeners also want to try. But we wrap up every episode of the Marketing Millennials with the same question, which is, Michelle, what is one marketing hill that you would die on? I would say creativity breeds innovation. So don't, you know, don't ever get rid of that, like the ideas and the brainstorming, I would say that's one and maybe the second one just to be, I don't know, not controversial, but like, I think 80 is a new 100.
37:28Michele Nieberding:I think back to kind of where we all started this, right, is like panic versus, you know, like play, like, get to good enough and keep going and iterate and learn. That's true for marketing in general, but agents as well. So I think, you know, part of what we do is we have to move quickly, but have fun with it and make sure that, you know, you're pushing things forward and don't worry about perfection all the time because I used to be that person and it's a struggle. The struggle is very real. Yes. I still need to remind myself of that as well. Well, thank you so much for coming on the show. This was amazing.
38:05Where can people follow you, learn more about all the things
38:07Michele Nieberding:that you're learning and sharing? Yes, yep. LinkedIn, always there lurking. So anything I can do to help, questions, comments, brainstorms, coffee chats, I am addicted to coffee. So like, please reach out. Give me another good excuse to go to Starbucks. I'm here for it. Amazing. Well, thanks again for coming on. Awesome. Thank you so much for having me. Thanks so much for listening. Keep tuning in to hear more great insights from the coolest marketers from around the world. If you haven't already, make sure to subscribe and follow the Marketing Millennials podcast on Apple Podcasts, Spotify, YouTube, or wherever you get your podcasts.
38:45And if you like what you hear, I would greatly appreciate you giving us a five-star rating. It helps bring more marketers into our community.
39:00Thank you.
From the publisher
AI is changing Marketing faster than ever, but it doesn’t have to be intimidating.
Daniel’s OUT, Tamara’s IN…and she’s got product marketer, startup veteran, and AI enthusiast Michelle Nieberding to talk about how to bring more play and less panic into experimenting with AI.
Michelle shares the story of how necessity at a small startup led her to explore AI tools, and why she now treats testing new tech as both a professional advantage and a personal hobby. So, what are some ways to start using it? Marketers can repurpose webinars into social clips, and analyze customer feedback, and even rethink how KPIs get tracked.
Plus, how does she feel about AI agents? Michelle explains her take.
If you’ve ever wondered how to get started with AI in your work, or just want one new tool to test this week, this is the episode for you.
Follow Michele:
LinkedIn: https://www.linkedin.com/in/michele-nieberding/
Follow Tamara:
LinkedIn: https://www.linkedin.com/in/tamaragrominsky/
Sign up for The Marketing Millennials newsletter: www.workweek.com/brand/the-marketing-millennials
Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: www.workweek.com




