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The Exit Five Podcast

23 Jul 2026 · 38m · 15 chapters

Episode artwork

How to use Claude Code to Scale LinkedIn Ads with Anthony Blatner (Founder, Speedwork)

In short

Using Claude Code (Claude Code) plus the LinkedIn Ads API to automate and scale LinkedIn ad management and ABM—especially bulk analysis/optimization, campaign creation, and audience segmentation—while avoiding “AI slop.”

Guests

Anthony Blattner, founder of Speedwork Social (Austin). LinkedIn-focused agency covering ads, organic, and outbound; former LinkedIn Certified Marketing Expert; created LinkedIn Learning courses on LinkedIn ads.

Key claims

LinkedIn Ads API data is more granular than the UI, enabling better optimization. Claude Code can generate API wrappers/interfaces and automate workflows (e.g., bid optimization, demographic/company reach reporting). More segmentation improves engagement rate, which can reduce CPCs; “thought leader ads” can boost engagement/cost efficiency. Claude Code can scale campaign production beyond manual limits (from ~25 to 100+), including personalized landing pages and ad creatives. Deliver instant lead magnets (e.g., pre-generated company reports) to improve conversion.

Notable examples

Weekly bid optimization (lower bids when engagement improves; raise when prices rise). Weekly demographic/company analysis to catch targeting drift. Competitor conquesting using CRM call transcripts (e.g., Fathom) and HubSpot data. Company list building for cases where LinkedIn filters don’t exist (e.g., cannabis).

Written by AI. May contain mistakes.

Chapters

2:46

Introducing Anthony Blatner

Discussion about the guest Anthony Blatner and his expertise in LinkedIn ads.

“You're listening to The Dave Gerrard Show.”
3:40

The Importance of LinkedIn Ads

Exploring the significance of LinkedIn ads and the value of personalization.

“I'm here with my favorite LinkedIn ads guy.”
4:52

Using Cloud Code with LinkedIn Ads API

How to use Cloud Code to connect with the LinkedIn Ads API for enhanced analysis.

“I was watching Dave's podcast and going through past episodes.”
6:45

Automating Ad Management and Analysis

Discussing automation in ad management and the benefits of regular optimizations.

“So I'm mostly in the ads platform myself.”
9:50

Segmenting and Personalizing Ads Using AI

Examining strategies for segmenting and personalizing ads using AI in marketing.

“So a lot of different things that you can implement.”
13:47

Engagement and Cost Efficiency in Ads

Understanding engagement rates and their impact on advertising costs.

“You said something, which was like one of the use cases was looking at what companies are engaging with your ads and being able to decide whether those are the right companies or not.”
14:00

Segmenting and Personalizing LinkedIn Ads with AI

Learn how to effectively use AI, particularly Claude Code, to enhance targeting and personalization in LinkedIn ad campaigns.

“I think this segues us nicely into the next thing we wanted to talk about was like, how can you get a bit more segmented and personalized with your ads using AI?”
18:40

Building Targeted Campaigns for Multiple Personas

Discover strategies for creating tailored ad campaigns targeting different personas based on industry and needs.

“And we would break out our campaigns by persona and then launch it from there.”
21:50

Importance of Offers and Lead Magnets

Understand how to create personalized offers and lead magnets to improve engagement and conversion rates in ad campaigns.

“been running lately where it's like, you're going to do a report for a company and it's already generated.”
24:44

Importance of Offers and Lead Magnets

Understand how to create personalized offers and lead magnets to improve engagement and conversion rates in ad campaigns.

“And even another thing with this, so like even if you didn't drastically change the offer, like if you have an industry report, for example, like that would be ideal.”
Show all 15 chapters
26:00

Leveraging CRM Data for Effective Campaigns

Learn how to utilize CRM data and insights to generate compelling content for targeted marketing campaigns.

“And it was this process of like, okay, a week later, your page is out, right?”
28:00

Leveraging CRM Data for Content Generation

Learn how to utilize CRM data and call transcripts to enhance LinkedIn ad campaigns.

“So some of the best sources you can use to plug into your content generation are your CRM data.”
29:56

Budget Considerations for LinkedIn Ads

Explore strategies for executing LinkedIn ads effectively on a modest budget.

“and then it can build the best asset that way.”
31:27

Targeting and List Building for Ads

Understand how to build targeted lists for ad campaigns using various tools.

“like it's all about thought leader ads these days.”
37:11

Implementing Claude Code for Marketing Efficiency

Discover how to use Claude Code to automate and enhance your LinkedIn ad processes.

“in general is just the list building part of it.”
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Transcript

Automatic transcript. May contain errors.

0:00Hey, it's Dave. So Zoom Webinars and Events has made our recent Exit 5 Live sessions way more pro lately. But don't just take my word for it. Check this out. This is what Kelly B said. She said, I compare all other webinars now against Exit 5. I love that. And look, in a world of AI slop, we just want to make something that's actually worth going to. It's not easy to get an hour out of your day. I'm just the on-air talent, though. So I'm going to kick it over to Marissa and Maria. This is our Exit 5 Live production team, our content team here at Exit 5, since they're the ones actually making this all happen.

0:29And Marissa. I've been doing B2B content a long time. I know. It's hard to hold attention for more than 30 seconds, let alone a whole webinar. But Zoom webinars helps. Recently, we've had nearly 2 ,000 registrants, over 500 live, and hundreds of hours of watch time on our sessions. Maria, what would you say is driving that? It all starts with prep. We do up to seven hours per session. Choosing a topic, prep calls, building the run of show, and so much more. With Zoom webinars and events, everything's in one place. registration, emails, polls, analytics. So it's simple to run that cycle every two weeks.

1:02At Showtime, I hand it back to Marissa in Zoom's production studio. With Zoom's production studio, I can set the scenes in advance. So on the big day, I just send them live with speakers and content already in place. Clean transitions, crystal clear audio and video. I feel like I'm running the big game back there. So this is why our webinars have been crushing it lately. Look, they just said we're spending seven hours per session on this. And don't just take our word for it. Come and see firsthand. And we run these every other Friday. It's called Exit 5 Live, now powered by Zoom webinars and events.

1:32So come and check us out, see this whole thing live. And if you want to learn more about using Zoom at your company, check out zoom.com slash exit five. That's zoom.com slash exit five. Hey, it's me, Dave. Today's episode is brought to you by Convertive, a B2B marketing agency that helps enterprise teams build an AI-powered go-to-market strategy. Q4 is the time of year when having a great agency partner matters more than ever. If you're shopping for a new agency, Convertive is worth looking into. They work with marketing and operations leaders to help grow revenue across the business and AEO. One of the things I know you're thinking about right now is one of their specialties.

2:07Trusted by companies like DocuSign, Databank, and Constructor, Convertive builds on the search and marketing work you're already doing and helps optimize your site so more of your buyers find you and turn it into pipeline. Right now, they're offering Exit 5 listeners a free AI search review. They'll run the questions your buyers are actually asking through your Google and AI tools, show you how you stack up against competitors, and tell you what's worth fixing. If you're looking for a refresh of your AEO strategy in 2027, this AI search review with Convertive is a great place to start. Check it out.

2:38It's convertive.com slash exit5. That's convertive.com slash exit5. And you can also see the link in the show notes. You're listening to The Dave Gerrard Show.

3:02All right, so today I'm speaking with Anthony Blattner. Anthony is the founder of Speedwork Social, and his company essentially helps you with anything LinkedIn related, whether it's paid, organic, outbound, whatever it might be. But today specifically, we're talking about LinkedIn ads and AI. We're talking about how you can use Cloud Code to connect to the LinkedIn ads API and automate a lot of analysis or optimization. We talk about how you can personalize campaigns at scale. We talk about things like competitor conquests and also how to create LinkedIn ads that are not just a bunch of AI slop.

3:38I think you're really going to like this episode. It's super tactical. We got right into the weeds of it. So hope you enjoy. All right. I'm here with my favorite LinkedIn ads guy. Anthony, how's it going? Hey, Matt, glad to be here. Always glad to talk about LinkedIn ads with you. Yeah, 100%. You know, it's funny today, we're just talking about this. I wear my Texas Longhorns hat. I got my Bill signed in the back. And you're based in Austin, originally from Buffalo. You're Bill's fan. So we got all the good vibes flowing. My two favorite teams right there. That's it. That's it. I love it. I love it.

4:07Okay, awesome. Super quick. I'll give you, you know, 30, 60 seconds to introduce yourself. But you've been part of the Exit 5 community for like two years now. I think it first started with you coming on the podcast. joining the community. You've been to Drive both times. You've been to our Austin events. You've been helping Exit 5 with our ads for maybe two years now and crushing it for us. It's been a massive channel for us from a growth perspective. So yeah, I'll just tee that up. I'll let you introduce yourself. But you've been super ingrained in this community. That's been awesome to see.

4:37I'm excited to get into some LinkedIn ad stuff today. It's funny. I just posted today about the speaker announcement for Drive this year. So number one, I'm very excited to speak at Drive this year. We're going to cover a lot of good topics there. But in that post, I talked about how, yeah, maybe 2024 or whatever year I joined Exit 5. I was watching Dave's podcast and going through past episodes. And I was like, he doesn't have one on LinkedIn ads yet. Like a B2B marketing podcast doesn't have an episode on LinkedIn ads yet. I got to reach out to him. So reached out. We did a podcast together.

5:08And it was fun to deep dive on that. And I remember on that, like after the recording, we stopped recording. and I was like, all right, so what are you going to do local chapters? Like Austin's got a great community here, blah, blah, blah. And he's like, hold that thought. You'll hear more very soon. So then you guys did the event, like the panel event in Austin. That was really cool. And then there's been the local chapter events and the Austin group's been putting together some really good events. We did a rage room, I think was the first one. Very unique, but good team building activities. So been part of Exit 5 for a while and it's been a great community.

5:44Yeah, it's funny, like quick side note lesson before we get into it. Like you just saying you look through the episodes and then like pitched doing an episode on LinkedIn ads, just like a quick little lesson on if you want to pitch yourself for anyone to get in a podcast, like actually just look at what the podcast is about and look at past episodes and position yourself as someone good to fill a gap there. Like I still remember your email to this day, which is funny. Yeah, I think you said like, hey, I noticed you guys have no episodes on LinkedIn ads. I'm one of the nine certified LinkedIn ad experts in North America or something like that.

6:16And I remember seeing that and like, we get a ton every week. And I was like, oh, like this makes a ton of sense. And I was like, hey, Dave, we should do an episode of this. And we were just ran it from there. So sometimes it's just that easy. And look at, look at where we are now. So covered a lot of ground since then. Yeah, yeah, yeah, exactly. Cool. So yeah, give us the quick 30 seconds on you, Speedwork. Yeah, quick 30 seconds on me. I'm based in Austin, Texas. I head up Speedwork Social. We're a LinkedIn agency, so I spend way too much time on LinkedIn, but I love it. So I'm mostly in the ads platform myself.

6:49Speedwork is an agency. We also do organic content and outbound and all that good stuff. So cover all parts of the platform. Have been focused on it for a while now. So yeah, I was part of that original certified marketing expert program. There's like 10 of us in North America. And then I've created the LinkedIn learning courses on LinkedIn ads. So done everything all across the board. And it's a very exciting place to be in. Cool. Awesome. Yeah. So today, I think we're going to talk about a couple of things. I think one of the first things you want to chat about was like how to use Cloud Code to connect to the LinkedIn ads API.

7:22So tell me a bit about like why you want to chat about that, maybe some benefits that people can get from it, and then we can talk about how to actually do it. Yeah. So it is very exciting times these days. Cloud Code now lets you as a marketer talk to any API out there. So one of the first big unlocks, and we've been working with the API for a very long time, and we've always known that the LinkedIn Ads API offers a lot of data that you can export from the API and get it at a very granular level to the level that gets you more data than you can get in the UI. if you're just a login to LinkedIn ads, go to campaign manager, it gives you more of a summary view in a lot of those.

8:02So like for example, the demographics and the performance reports, you get a lot more granular data when you pull it from the API. We've known that for a long time. And now the exciting part is now using Cloud Code to go build your interfaces, build your web apps, do this analysis for you, really simplifies that process. In the past, you had to build your own web app. Obviously now Cloud Code can do a lot of that. So it helps you automate and do a lot of this to the next level. So Cloud Code has opened up a lot of new capabilities. You know, using an MCP is one level where there's some pre-built MCPs out there that can do some different functions.

8:36But as with any API, if you use the API itself, not just the MCP, you get access to every endpoint that it offers and you have the full range of capabilities. So very exciting times. Like with any API, once you use that, you get a lot more data. So we've been plugging in Cloud Code to do a lot of these automations, analysis. And really what that turns into is how can I go build maybe a lot of campaigns or ads and launch them using the API? How can I do bulk analysis, bulk management in a way that that's going to get me more information to make those advanced optimizations and then implement it so that we have a cost savings in the end for our advertising?

9:16So that's the summary of it. Now, how do you go and actually do this? Of course, number one, you need Cloud Code. You got to be comfortable using that. And then I won't go into full detail on how you build it, but I have a video on our YouTube channel that walks through how you actually can build it. So go check our YouTube channel. It's under Speedwork Social, and there's a Cloud Code one right at the top there. So go watch that. You'll see how you can build your API interface to talk to the LinkedIn Ads API. The short and quick is you can go download all the documentation of the API, give that to Cloud Code and say, hey, build me this interface.

9:48And basically, it'll do that. Okay, cool, cool. And what's still like, you said, because I think one of the interesting pieces about this is like, so automating some regular optimizations and also like some bulk analysis, even like to this day, but I know like in the past, what I would always do is like once a week, I would just do a sweep of like the metrics inside of the UI and just say, okay, this is happening this week. So we're going to do X because of it. So now it looks like at least like 80 % of that work is going to be, whether it's automated or at least like you could surface it up to yourself to make some recommendations and what it seems like, tell me what that end product looks like on like a weekly basis.

10:25Yeah. So a lot of different things that you can implement. Maybe I'll give a couple of examples that'll help. So, you know, if you're managing ads on any platform, bid management is a big part of it where your bids are typically changing over the course of a month, a quarter, a year, especially on LinkedIn, there's lots of seasonality that will happen. So you want to be adjusting your bids so that you're ideally spending the budget you intend to spend and spending it most cost efficiently. So over the course of a month, you're on average prices tend to rise over the course of a month, but also you might be launching new ads and you might be getting better engagement rates and then you can bid lower when you have that.

11:02So that's all to say in the end, it's good to do like a bids optimization, maybe once or twice a week. So that's an example of something that we'll implement for a lot of clients and it'll just kind of run in the background twice a week. It's going to go analyze, hey, are there any opportunities to lower bids or are we underspending anywhere that we need to raise bids because maybe we're getting towards the end of the month, prices have gone up or maybe we launched some new ads that are performing well and we can lower bids and we can get some cost savings out of that. So a bids optimization, just have that kind of run as a workflow in the background.

11:32And then it's great if you have like a human in the loop step where, you know, first I want to be able to approve those because maybe I know something else that the algorithm doesn't know just yet. We just launched something today that I just want to be careful not to change it yet. Or I know something's coming out tomorrow, something like that. But bins analysis is a good one. One other one is a company's analysis, well, a demographic analysis, where also maybe on like a weekly basis, report back to me, who are the companies being reached by our ads? What are the job titles? So that if there's any deviation from what I'm intending or any changes in that, I can catch that quickly and get a campaign back on the track.

12:08Very cool. Okay. Those are both super useful. How long does it take to set that up through CloudCode? Pretty easy, pretty fast. So for a lot of these, you just need to know the right API endpoints to use and you just tell CloudCode, hey, go look at the API documentation and figure this out. And it's always funny to watch like CloudCode start to learn something where it's like, it's going to fail, it's going to fail. And then it's like, oh yeah, I figured out this out. It's a different format of the parameters and then it learns it. So we've built lots of different skills and workflows to do this.

12:38And that kind of all gets it all baked in like that. If you're doing this for the first time, start with the API documentation. It all depends on what you're building for your company and your account. So it might be a little bit different, but Cloud Code's pretty good at learning that. And then you just tell Cloud, like, hey, what do we need to document based on what we just did so that you know the right format and stuff to use next time? It'll save it to a memory file or a cloud.md file, or even better, just bake it into a skill that you're going to reuse over and over again. Very cool. Okay.

13:05So yeah, it's like in short, you're essentially creating like a little intern that is just like analyzing your LinkedIn ads, doing a sweep of it once a month, telling you how it's performing or not once a month, I guess however often it's going through it, but telling you how it's performing, telling you what you could potentially change, telling you who you're reaching through your ads. So it's just surfacing up the best information and then you can make the decision on like, here's what I want to do about it type thing. Yeah. Yeah. Anything that you think that you find yourself doing, like anything that's like tedious or manual or like you have to repeat doing a lot, that's a great opportunity to go, hey, build a workflow, build a skill or something that will do it for you.

13:42Okay, cool, cool, cool. This is all of marketing, not just LinkedIn ads, but it's great when you use it. Save yourself money. Yes, yes, exactly, exactly. I know, that's great. That's a great tip. Good way to kick this off. You said something, which was like one of the use cases was looking at what companies are engaging with your ads and being able to decide whether those are the right companies or not. I think this segues us nicely into the next thing we wanted to talk about was like, how can you get a bit more segmented and personalized with your ads using AI? I personally, in the last six months, I've spoken to hundreds of CMOs as part of our CMO community and, you know, ABM and like targeting, you know, super specific people and enterprise companies, for example, is a big focus for a lot of people right now.

14:25So yeah, we'd love to just kind of dig into like where you've seen that work and some tips and tricks you have for that. Yeah. So this kind of combines ABM as a strategy with economies of scale using LinkedIn. So the marketing principles that the more you can closely align your marketing materials with who you're targeting, the more residents is going to be there. And every ad algorithm is going to give you a cost benefit when you have that. So like LinkedIn evaluates primarily based on engagement rate. So the higher the engagement rate you can get of your ads, your ads matched up with your audience, the better cost savings you're going to get on your campaigns.

15:03So this is like kind of the basic principle. How do I save money on my ads? Do your engagement rate up and then you can bid lower and save money. So now we're thinking about how can we get further segmented on what we're doing? And a lot of this is based on what is the production limitations from a company? They usually need to create landing pages. They need to create ads. They need to write ad copy. They need to set up the campaigns. They need to analyze those campaigns. In the past, that would work up to like, you know, 5, 10, 25 campaigns or so. Then you kind of really have a lot of moving parts past that.

15:35Nowadays, you can have Claude Code build out a lot of this for you and then also help do the analysis. So really, we're kind of like smashing through the production barriers where now we can set up some templates and then have Claude Code go build those out for us. And then, boom, we can replicate that and scale it from that three to five to easily 20, 50, 100 or more. Just all depends on your budget and how many companies you have to reach, how many industries or how many personas you have to reach. So that's like the very basics of the strategies. Now let's talk about kind of what that looks like in practice.

16:07So very often we build out our marketing matrix in terms of whatever the approach is. Let's say we're doing a one-to-one ABM campaign and you have a list of companies you want to be reaching. So for each of those companies, you have what's the targeting I need to set against that? And also like, what's the campaign I'm building that's going to reach those people? What's the ad copy going to say? What's the image going to look like? What's the landing page going to look like? And then is there any kind of final offer or downloadable that they're going to get by going through that? So lots of different ways you might set this up.

16:36You might have a demo request funnel, or you might have a personalized report funnel. Both of those can be two good examples you might use. And in the past, you might have had like a finance report or a free trial for finance companies. Now you can take that just another level deeper. And maybe a lot of times we're thinking about what's the persona and the industry that we want to be reaching. And then we're going to segment into all those that the client wants to serve. And again, also like an ABM approach at the company level, you can have a specific landing page that speaks to that specific company.

17:08You can have images, visuals, and copy, all that speak to them. End of the day, we're just trying to build that resonance between who are we targeting? What are we offering? That's going to improve our conversion rates. And that's going to improve the cost that we're getting out of LinkedIn. So very often you're going to start with like a template and you're going to probably write this yourself, or you're going to use Claude to like generate that first template. Once you have that in a place that you're happy with, you're going to then have Claude go replicate that across all these different segments and kind of scale it out for you from there.

17:36And then once we're using the API, we can have the API go build those campaigns, build those ads for us, set up these campaigns, and then get them all launched in parallel. Now, what's the limit to this? Well, LinkedIn's limit is$10 a day per campaign. So you just need to do that multiplication to see what kind of budget you can support here. That said, if you have a lower budget, you can cycle campaigns. So maybe you have one week, this industry or this set, and then you swap the next week. Sometimes we'll do it by days of the week. We'll have odd days and even days and we'll flip-flop campaigns if we're trying to fit more into a certain budget level.

18:12So that's kind of a good way to use it to scale out your approach there and then be able to achieve a lot of cost savings and then conversion rate optimizations by doing that at scale. Gotcha. Okay. Super cool. So essentially, from what I'm understanding, like the premise of this is like, you know, a lot of companies have multiple segments that they target, multiple industries, whatever it might be, right? They have a handful of personas. Like, for example, like at a previous company of mine, we sold software to small business owners, and they're all small business owners, but it would be like plumbers, electricians, chiropractors, doctors, dentists, etc.

18:50So from what I'm understanding, especially for companies like that, probably for many, but especially for companies like that, now we can have offers, essentially ads, copy that's super targeted to all those different personas. And we would break out our campaigns by persona and then launch it from there. Is that generally like what this is? Yes, basically. So you'll have your ads that have an electrician in it and you'll put that in the visual. You'll have one that has a doctor in it. You'll have one that has a dentist in it. And then that's going to be broken out between all those. And, you know, you could do this in the past and it'd just be very manual to do.

19:23And maybe you get yourself up to like, like I said, like 25 or so. And then it's kind of really hard to go past that. So you can use AI to go scale. You can do a hundred of these very easily. Yeah. I think it's like the entire funnel. Now you can just use Claws to do the entire thing. Like, obviously you want to apply some of your own like intuition company data that is important. That's going to influence that. But like the other day, for example, and lately I've just been playing around more with Claude Design. And it's actually like, even if you don't go into design, it's really good. But if you do, it's like ridiculously good.

19:57So to your point about if it's an ad for electricians, having an ad that is specifically for them, you can literally grab a stock image of an electrician and give that to Claude Design. And within your branding and the copy and text you want, you could just create the ad image right there. Yeah, exactly. Exactly. So I like in Cloud Code, you can set up directories and stuff. So you'll start to build out your folders there, basically. Okay. All the segments I want to be reaching, I'm going to have a folder for each of those. I'm going to start with my brand guidelines at the top line. Some people have those, some people don't.

20:28If you don't just tell Cloud, go build you some brand guidelines. And then it'll go reference that as it builds out the rest of your assets there. So for example, like landing pages, there's always like a lot of work that goes into those. So I like to build one really good one, iterate on that design. And then once I got into a good place, then I can say, hey, go replicate this landing page for all these different industries. And it could be industries, it could be target companies. They might just be swapping in logos into all those target companies. So that's very good for just on the landing pages.

20:57And then also for the ad level too. That's like one of the best ways to get some of the highest engagement rates that you can is put that logo into your ad or write it out, write out that company name in your ad just to maximize all that. Very cool. Okay. This is great. Like, I feel like one thing that does get overlooked sometimes is just like the offer or lead magnet, right? It's like, it'd be pretty easy to, not easy, but you know, you can go create a different ad for each of these personas, right? And we know how to do that. As marketers, it's like, we know how to write the copy that we need to write, the imagery, et cetera.

21:31The targeting is fairly straightforward, I'd like to think. But talk to me a bit about the offer and lead magnet. How can you personalize that? Should you personalize that part? Let's walk through that a little bit. Yeah. So a lot of companies will have industry-based reports. So whether you're doing an industry-based report or there's a lot of examples that we've been running lately where it's like, you're going to do a report for a company and it's already generated. You're going to pre-generate it. And then the ad is basically get the report for your company. And it is impressive when you can deliver that right away to them versus a lot of people think like, oh, I'm going to submit this.

22:08and then like your salesperson is going to get back to me in a couple of days. But when you deliver it to them right away, that's kind of an impressive workflow. And they're like, all right, I got some immediate value out of this. The longer you wait to get that to them, the more they're going to forget about you, all that. So the more you can instantly give them that report, boom, that makes it a lot warmer for them. They got some instant value out of it. And then they're going to be more likely to take next steps with you. Hey, it's Dave. Today's episode is brought to you by Optimizely. If you want to know what AI agents can actually do for a marketing team, Optimizely is where I'd point you to right now for a real example.

22:40Last month, we ran an Exit 5 live session where a bunch of our members showed off their best AI agent use cases. And McKeel, director of AI innovation at Optimizely, actually won the whole session. He showed us how he used Optimizely's AI agent platform to run an ABM campaign that gave 2 ,000 accounts their own landing pages built from signals like job postings, press releases, and leadership changes. That's like the holy grail of ABM, by the way. Optimizely's agent platform is built specifically for you, the B2B marketer. You can build your own agents like McKeel did or pull from a directory of 50 plus pre-built ones made just for marketing use cases all in one place.

23:16They also just launched virtual teammates. These are digital members of the team that learn over time and can join meetings, complete tasks, support campaigns, and keep your website optimized. If you're being asked to look into AI agents right now, Optimizely should be at the top of your list. Go and see how they can help you reclaim your time and build cool stuff just like Mikheel did. Check them out at optimizely.com slash exit5. That's optimizely.com slash exit5. Hey, it's Dave. Today's episode is brought to you by Compound Growth Marketing. They're a full funnel demand gen agency that I've personally hired twice.

23:49Yep, before I was just a thought leader. I was a real marketer and CGM was one of the best agencies that I worked with. They help high growth software companies show up earlier in the buying journey where potential customers are forming opinions about which product to use. They've helped an enterprise cybersecurity company grow pipeline 168 % year over year with full funnel media and an HR tech company grow 48 % through paid search. And they can do the same for you. They offer a combination of full funnel paid advertising strategy and execution, AEO and a dedicated go-to-market engineering team.

24:22Everything CGM does gets tracked, measured and improved over time. That means more pipeline for you. And this works because they were started by an actual former VP of marketing who really gets this space that you work in in B2B. So visit compoundgrowthmarketing.com slash exit five to see how they can help you meet your 2027 revenue goals. That's compoundgrowthmarketing.com slash exit five. Yeah, got it. I like that. And even another thing with this, so like even if you didn't drastically change the offer, like if you have an industry report, for example, like that would be ideal. But let's say you're a company where you don't have specific content for each industry.

24:59And let's just say your offer lead magnet is the same. It was what you were saying earlier. Like you could still personalize the landing page itself to be more tailored to that person to make it think like it's for them. Even if like the end thing they get in their inbox or the action is the same as it would be for the other persona. I really liked that piece too. I think like even just using any version of Claude, like you can so easily whip up a nice landing page. You get the code for a nice Latin page, like in a minute or two, maybe. So it's like, it's kind of scary fast how fast it is. Yeah.

25:33It's scary fast. Like it's, you know, back in the day, you'd have to go find page. I mean, you still have to do this. So it's not like you should skip the work, but it's like, you'd have to go find pages you like, maybe look at some elements of them, screenshot them. And then you'd have to, in a document, write out all the copy you want. And then eventually you take all that, you give it to a designer and you say, Hey, can you create like a V1 this for me. And you have to wait and you have to wait for the designer. And then when they finally send it, you'd have to give them more feedback. And it was this process of like, okay, a week later, your page is out, right?

26:05Now it's like the beginning part's the same, but where it changes is in the end, the feedback is just instantaneous. So if you can literally go create a good version for one of your personas, you can create 10 landing pages in under an hour, 30 minutes for all the other personas you have, and then just pass those to your ads, right? Yeah, exactly. And now let's talk a little about how to do this, how to produce like good assets and not just like AI slop assets. Because, you know, somebody would listen to this and be like, great, I'm going to go have Cloud Go do all this. And then like, you know, what it outputs, it's like, okay, that's pretty good.

26:40But I think there's like another element that a lot of people now can like look at something and be like, that's AI generated or like read something and be like, Like that's AI generated. And there is new research out right now that people don't necessarily want to be reading AI generated stuff. And I'll also, you know, in the LinkedIn feed, you see lots of posts and comments that kind of are clearly AI generated and they always perform worse because when you're reading something on LinkedIn, somebody doesn't want just an AI generated post. They don't want to just read what a machine output, they want to hear from other humans.

27:13So you have to kind of keep this in mind as you're creating all your content. And AI can produce some really cool looking stuff, but we're starting to see what are the trends and the design trends and the writing trends that I'll kind of give it away. So you want to avoid that. Number one, you can go do a little research and a lot of people have posted like prompts and stuff like that, that help get around a lot of that. But what I want to talk about is like the content itself. So if you're thinking about a one-to-one ABM campaign, or if you're thinking about an industry-based campaign, or another super common one we'll do is competitor conquesting, where you have a series of competitors, you might have 10 competitors that are your most common ones.

27:49You're going to build a campaign like this and target the companies you know who are using each of those competitors in each of your campaigns. So this is another good kind of at-scale ABM approach is the competitor conquesting one. So some of the best sources you can use to plug into your content generation are your CRM data. So what history do you have there for, like, for example, HubSpot saves a lot of good information there, emails, phone calls, stuff like that. You might be using a call recording software like Fathom or another platform like that, and you can pull in transcripts. So now we're taking that matrix that we were talking about for ad landing page, all that.

28:28And we're going to start with what's the inputs that we want for each of these. So you want to organize your fathom call transcripts by whether it's by competitor or by industry that you're targeting. And then you want to organize your HubSpot data that you're pulling out. Like emails are great, you know, going back and forth, talking with people. That's all good stuff to put into your Claude so that it's going to generate really accurate content to feed into these campaigns. So back to your Claude directory that you're building in Cloud Code, you're going to have a folder for each one of these.

28:59And then you want it, one of the building steps is to have Cloud go organize all that data. You know, a lot of this is like too much for one context window. So it is important to kind of save your work in the steps that you're working through here, where you might have several different Cloud chats open and certain ones are building your directories and your knowledge base here. And then by the time you get to generate those reports, you want it to go access each of those directories so that I can pull in the associated information and create the best asset for you. Because if you just do it all in one chat and you don't save anything, then it's not going to have enough context to really build you good assets.

29:36So important to break this down into kind of baby steps here where you're going to have your kind of setup steps where you're building out that matrix, you're building out your directories and you're organizing your content so that when you finally kick off Claude2Go create all your reports, for example, it's going to follow the template, but then it's also going to go to each of those directories and pull in the associated content for each one of those segments, and then it can build the best asset that way. Very cool. That's incredible. I love that. Do you have the clients you're running this with right now?

30:04Yeah, starting to roll out to more and more of them. And one hand depends on budget level. The more budget you have, the more campaigns we can spin up, the more content we can create. But once you have a good template, it's very easy to roll out to a lot more. Gotcha. Okay. Yeah, that was going to be one of my next questions. So there's a lot to unpack about what you just said, for sure. But one question I had was like, there's a varying range of people who listen to the XF5 podcast. There's people who have a lot of budget, there's people somewhere in the middle. And there's also just in the marketing world, a large percentage of people that don't have a smaller budget to play with.

30:38So do you think something like this is viable for somebody with a more modest budget? And if so, how do you execute something like this if you are in a more modest budget? Where should you prioritize? Yeah, that's a good question. There's very little downside to adding more segmentation. You know, more segmentation almost always is a good thing to do. For the smaller companies, like you probably have an idea of like, who's the best industry you want to be going after? Who's the best persona you want to be going after? You know, it's a marketing principle of if you go to everybody, you're talking to nobody.

31:12So, you know, instead of using that big, broad audience, you want to be very specific on who you're going to reach and what you're going to say to them. So if you're just getting started, another thing I'll throw in here is thought leader ads are still a good tactic to do with this. And if you've heard any of my other content or listened to any other LinkedIn ads episodes, like it's all about thought leader ads these days. So you can now also, as one of your ad elements, it can be a thought leader ad. And if you're planning to build your matrix or whatever it's going to be, if you're a small company, you might have three and you might just have three different posts.

31:44And then each of those posts gets boosted to the associated industry. So that thought leader ad will get you the best engagement rate and then therefore the cheapest cost. And then you're still building the ABM approach, but you're going to do it with thought leader ads. And then that'll help you get even more cost savings out of it. Love it. Yeah. Even one thing that could be interesting too, is like, if you're a company who has many personas and is interested in executing something like this, like, is there a world where you just, you try this approach with one, right? It's like, let's just take one, one of our more popular ones and just say, we're going going to go create these hyper-specific ads and copy and land pages and offers.

32:21And if this works well and does what we need it to do, then we're going to go replicate that with the next one. And just that could be how we vie for more budget too. Yeah, definitely. Some companies have like, hey, here's the one company we want to be going after this quarter. I'd say on average, I like to start with at least three, kind of gives you like a sample set there. Maybe that one company you thought was going to be the top one, maybe you get a quicker bite from a different company. So I like to start with a small grouping, but yeah, start with a small grouping, test it out. And then from there, you can kind of scale it out to the rest of your list afterwards.

32:51And then I also mentioned, as you start to scale all these out, say you have 50 campaigns running, this is also where some of those other workflows I mentioned become more useful. When you have 50 campaigns, it is very difficult to manage bidding and budgeting on a regular basis. So this is where you would want Claude to go, hey, do a scan twice a week, other places where I can save on bidding, save on my CPCs and other places where maybe my demographics are on point or off point, and it can give you some feedback that way. So as you go to scale things out, this is where other workflows get more important, big and budgeting, and then demographic review are like two of the most common ones.

33:25Okay, cool, cool. On your guys' end, are you, like from an image creation perspective, is it mainly cloud code you're using or do you still have like a design team on the inside that's like creating some assets? How are you doing that part of it. Yeah, a little of both. Kind of depends on the client we're working with, but have been using AI to generate some images. Been using Nano Banana a lot for generating the images. Usually we'll give it the template frame we want to work with. And then if we're putting a list of companies or if we're putting a list of logos over it, put that in there and then have that generate the images and pretty good.

34:00Cool. Cool. Awesome. Honestly, I feel like that was pretty solid. There's just a side note now, but I think that's pretty solid. I don't know. Do you feel like there's anything else like important that you want to cover? That's pretty solid. Yeah, that's pretty good. Yeah. Cause like I figured if we can just make it 30 minutes versus 60 and pack a ton of value into it, like I, I don't see why that would be a negative thing in any way. Yep. Cool. Maybe we can talk about list building real quick, using Claude to build you some lists that you can't use from other systems. That can be another kind of tip and trick.

34:31Okay. Yeah. Let's get into it. Cool. All right. So other topic is targeting. So of course, building your target lists is one of the key parts to getting started. Sometimes you have a very clear industry you want to go after and maybe Apollo or Clay has that industry and boom, very easy for you to build that list and export it. I'll even say like one of the nice things about using a data platform is they usually don't charge you on the company level if you build a list of companies, but they'll charge you on the contact level. So one of the nice cost savings for LinkedIn is build yourself a company list and then upload that to LinkedIn and then do the company list and your set of job titles, and then boom, you're able to export those lists usually for free and then use LinkedIn to find the individual people.

35:10One other thing to note is if your target audience is something that's not a super clear filter, lots of companies out there are trying to reach maybe a certain type of company or a certain person. And that just, there's just no clear industry filter for that, or it's about something that LinkedIn doesn't have a filter for. So what are some examples of that? I had somebody ask me about cannabis companies and it's like, okay, well, there's no cannabis industry on LinkedIn. You'd have to build yourself a your own target account list. So lots of examples like that, maybe a piece of software they use or something else like that.

35:41So these are another cases where Claude Code can go build you lists. Do be careful with your credit limits. It can eat up a lot if you're asking it to go grab a bunch of URLs and do a bunch of research for you. So best to build kind of the list of names and website URLs. If you're asking for more than that, it might spin up way too many agents to eat up your credits real quick, but it can be a very effective for building you target account lists in some of the segments that maybe there's not a super clear industry or super clear definition of. So that's another kind of very interesting workaround we've been using lately because yeah, lots of times companies have like a certain customer segment and it's like, okay, there's no like specific industry for that one thing we're looking to target in the past.

36:20It's like, well, you're going to kind of have to deal with getting some bad leads and some good leads. Now we can get a lot more targeted with what we're doing. Right. So you're giving it, you're essentially using these tools. I don't charge you to build company lists. And then those, you're just going to go plug those into LinkedIn and say, these are the job types at these companies that you're targeting. And it's only going to go after those people, right? Right. Yeah. Yeah. LinkedIn is the only platform that can do the company basis approach, like Matt is all contact level. So yeah. If you're using Apollo or Clay, they'll usually charge you by contact, but you can export as many company lists as you want.

36:51But then, yeah, if there's not a super clear industry in Apollo or Clay, like if you're just not finding what you want in Apollo or Clay, that's another good use case to go to Claude and say, hey, build me some lists for this. Cool. Very cool. Yeah, I love that. I feel like in the past, that was always one of the most difficult parts about just ABM in general is just the list building part of it. I mean, there's a whole side of agreeing internally as to what that list is. And that's probably where like a lot of the work actually is on this front. But like, it sounds like at least when like internally you've decided on what some of those companies are, what they might look like, then that's where you can plug this process in.

37:31And it's super easy to just grab some company names and target from there. Yeah, exactly. Cool. Awesome. Awesome. Well, yeah, I feel like what I loved about what we talked about today is it just feels like super tactical stuff that people can go execute on tomorrow. Like, I feel like a lot of the stuff that I read with like how to do X with AI is like, maybe not super practical or it's like, I wouldn't actually go and do that. Like when you actually go try and execute on it, it's not really what you would have hoped. And I think in this case, like that could happen if you don't put in the effort to make it good.

38:05Right. So it's not saying this is like the golden ticket to like crushing on LinkedIn, but it's like if you put the effort into creating the good stuff up front, you can just scale your ad campaigns easier with less resources really, and get a lot more targeted if you plug some of these tools in. Yeah. And just to give people some bullet points is if you're able to take this and double your CTR, you can usually get your CPC in half. So you might save half your ad cost by doubling your CTR by taking this segmented approach. So give yourself a 50 % off discount on LinkedIn ads. That's super cool.

38:45Yeah. I think that's something that like people who aren't in the weeds of LinkedIn every day may not be considering as much as like, the more you can improve the quality of your ads, it's actually going to be cheaper for you to run them. So it's actually in your best interest to invest that time in doing that versus like just always thinking of net new, right? It's always like if something's underperforming or not where you want it to be, it's like, how can I go and create new stuff? And sure, some of this is going to be net new, but like the right way of thinking of it is like, how can we just make it better for that audience?

39:14Because with that, we're assuming that it's going to perform better and cost us less in the end. Yeah, exactly. Love it. Cool. Well, yeah, super great tactical stuff. I feel like people can literally take this and go run with it and do a bunch of new cool things. I think like if someone were to start somewhere, like obviously we gave a bunch of great stuff, but it's like, you know, head to Speedworks YouTube and just like go try and create that. What do you call it? Like your LinkedIn ads agent pretty much? Yeah, I just call my API agent and just have it build you an API wrapper. And then from there, you can just chat with that wrapper and it can kind of do everything for you.

39:49So it can do everything we talked about today, but then there's like lots of other, maybe bulk updates, maybe bulk renaming, bulk edits that like would take forever if you were just doing it yourself in the UI, but now the API thing can just do it all for you. Sick. Okay. That's very cool. Yeah, that's like a great next step for anyone listening is like, if you can just go and create that, I think it helps you get your feet wet between like cloud code and LinkedIn ads. And then I think like once you do that, and you may be automated or made your life easier, I think that's going to give you then the confidence to go and run some of these other things that we talked about today.

40:23Yeah. And then you can start to do this for every ad platform and every other marketing system you're using. So it really just kind of opens the door to like everything else that you could do. So yeah, exactly. And it's, it really is an easy one because it's like the LinkedIn data is all there. And a lot of people have been running ads for many years. So it's like, there's already a really great foundation to build this tool on. So I think it's a really great project for any marketer and it seems like it wouldn't take super long anyway. So yeah. Awesome. Cool. Well, Anthony, this has been awesome.

40:52I know you're super involved in the Exit 5 community and on LinkedIn, et cetera. So I know anyone can go there and hit you up if they have some questions. You've always been a great resource to Exa5, like our team internally, the community. And whenever I ask you something, I always know I'm getting a really good trustworthy answer in return. So I'm sure you'll do that for others. And yeah, I appreciate you coming on today and we'll see you around the community. It's all good. Awesome, thanks.

41:19Hey, thanks for listening to this podcast. If you liked this episode, you know what? I'm not even gonna ask you to subscribe and leave a review because I don't really care about that. I have something better for you. So we've built the number one private community for B2B marketers at Exit 5, and you can go and check that out. Instead of leaving a rating or review, go check it out right now on our website, exit5.com. Our mission at Exit 5 is to help you grow your career in B2B marketing, and there's no better place to do that than with us at Exit 5. There's nearly 5 ,000 members now in our community.

41:50People are in there posting every day, asking questions about things like marketing, planning, ideas, inspiration, asking questions and getting feedback from your peers, building your own network of marketers who are doing the same thing you are so you can have a peer group, or maybe just venting about your boss when you need to get in there and get something off your chest. It's 100 % free to join for seven days, so you can go and check it out risk-free. And then there's a small annual fee to pay if you wanna become a member for the year. Go check it out, learn more, exit5.com, and I will see you over there in the community.

42:29Hey, it's me, Dave. Today's episode is brought to you by Customer.io. They're one of our longest running sponsors. Customer.io helps marketing teams get more impact from every message they send so you can reach the right people with the right message at the right moment. What we love about Customer.io is that they have a great team of marketers who really care about the craft. They just get marketing and understand our audience. Molly, Rosie, and the team bring something creative. Every time that we work together at our Exit 5 event in Austin, they handed out cowboy boots. In our newsletter, they shared an AI prompt cookbook.

43:00And at Drive last month, they were giving out Airbnb gift cards and AirPods. They believe marketing is a craft that takes creativity, thought, and taste. And no, AI can't do this part for you. The best teams treat AI as infrastructure and built the right way. It actually makes marketing feel more human, not less. Customer.io helps product teams build personalized campaigns across email, SMS, push, in-app, and webhooks using their own first-party data. And today, more than 9 ,000 brands trust Customer.io to send their messages, including Notion, Les Mills, and Angie. So if you need a new vendor to power your customer messaging, or you just want a great marketing team to follow, it's time to go and check out Customer.io.

43:37Go to customer.io slash exit5. That's customer.io slash exit5.

From the publisher

#375 | If you can double your ad's click-through rate, you can usually cut your cost-per-click in half. Anthony Blatner, founder of Speedwork, sat down with Matt Carnevale to walk through how he's using AI to run LinkedIn ads at scale for clients right now. The conversation covers connecting Claude Code directly to the LinkedIn Ads API to automate bid management and reporting, building personalized ad campaigns, landing pages, and lead magnets for dozens of segments at once, and using account-based marketing principles to get LinkedIn's algorithm to reward you with lower costs. It also gets into avoiding content that reads as obviously AI-generated, running competitor conquest campaigns, and building target account lists for niches LinkedIn doesn't have a clean filter for.


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