Discover 5 proven marketing roles where AI delivers measurable ROI: ad analysis, customer support, merchandising, messaging, and content management. Real results from top brands.
April 29, 2025
5 Marketing Positions to Hire AI For (Performance Tested)
Imagine cutting your Facebook ad analysis time from 5 hours to 10 minutes. Or giving customers round-the-clock product support—without expanding your team. That’s the kind of impact AI is already having on marketing operations.
In this article, we highlight five roles where AI isn’t just a shiny toy—it’s delivering real, measurable results. If you’re still cautious about diving in, these proven use cases offer low-risk, high-return starting points.
Here’s how innovative brands are putting AI to work:
- Ad Performance Analyst → Triple Whale: Dixxon Flannel increased Meta ROAS by 169% during Q4 2024
- Customer Support Specialist → Gorgias: TUSHY achieved 81% higher chat conversion with AI vs. human agents
- Merchandising Specialist → Maestra: Enlightened Equipment boosted website conversion by 15% with AI recommendations
- Email Marketing Manager → Postscript: Portland Leather generated $2.8M in SMS-driven revenue with AI-optimized messaging
- Content Manager → Videowise: True Classic generated over $500,000 in additional revenue with AI-powered videos
1. Ad Performance Analyst: Maximize ROAS Without Burning Hours
The Dixxon Flannel team faced a challenge many marketers can relate to—600+ ad variations running across Meta and Google, and not enough time (or eyes) to make sense of what was actually working.
That’s where Triple Whale's Moby Agents stepped in, automatically analyzing creative performance and surfacing patterns a human team would miss. With AI handling the number crunching, Dixxon’s marketing team could focus on decisions, not data-wrangling.
Moby Agents help me identify both underperforming and overperforming ads from the roughly 600 variations we run simultaneously. They’ve been a real breakthrough—our efficiency’s gone way up.
Results
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+169%YOY growth of Meta ROAS (Q4 2024)
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+141%YOY growth of Google ROAS (Q4 2024)
Takeaway
AI thrives in data-heavy environments. If your performance team spends hours combing through reports, it’s time to offload the analysis. AI tools can spot winning patterns faster—so your marketers can focus on scaling what works.
2. Customer Support Specialist: Converting Browsers into Buyers
To solve this, they introduced Gorgias' AI Agent for Sales, an assistant trained to guide shoppers through key pre-purchase concerns. It answers questions about compatibility, installation, measurements, and recommends the right product based on each customer's specific situation.

Gorgias' AI assistant helps customers determine bidet compatibility
Results
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15%chat conversion rate
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81%higher conversion from AI vs. human agents
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13xreturn on investment
What’s interesting is that many customers actually feel more at ease asking sensitive or technical questions to an AI agent than to a human.
With AI, our future customers can ask anything—even the questions they might be too shy to bring up with a human. In the end, everybody wins!
Takeaway
Review your customer support tickets: what pre-purchase questions do shoppers ask repeatedly—or avoid asking entirely? Those are prime use cases for AI. It helps scale support while giving hesitant buyers the guidance they need to convert confidently.
3. Merchandising Specialist: Boosting Order Value and Conversion
Premium outdoor gear brand Enlightened Equipment partnered with Maestra to roll out AI-driven product recommendations that adjust in real-time based on customer behavior.
By analyzing browsing patterns, the AI identifies product relationships and delivers tailored suggestions across high-impact touchpoints—homepage, product pages, cart, 404 pages, and empty search results.
Maestra’s ML algorithms understand our product relationships perfectly—when a customer views men’s sleeping bags, they see relevant quilts and sleeping pads. And if we need to display products according to specific business logic, we can simply set up custom business rules without any coding.

AI-powered product recommendations on Enlightened Equipment's website
Results
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+15%growth in website conversion rate
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+8.7%increase in average order value
Takeaway
AI recommendation engines can unlock personalized shopping at scale. If you’re not already using one, start by identifying key points in the journey where better suggestions could lift conversions and cart size—then let the algorithms do the rest.
4. Message Marketing Manager: Optimizing Message Performance
Nailing SMS and email marketing at scale means testing countless message variations—something AI excels at.
Portland Leather Goods partnered with Postscript to implement AI Infinity Testing, which automatically generates and evaluates thousands of message combinations. The system identifies which copy, timing, and offers perform best for different segments.
Results
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$2.8MSMS-driven revenue
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43xreturn on investment
Takeaway
If your current approach to messaging is mostly guesswork or limited by manual testing, AI can uncover what actually works—segment by segment—in real time.
5. Content Manager: Simplifying Video Implementation
Video consistently boosts e-Commerce conversion rates, but scaling video across a large catalog can feel overwhelming.
True Classic, a men’s apparel brand, needed a way to add videos to +700 product pages—without technical headaches. Videowise’s AI-powered platform automated the process, optimized load times, and tracked which videos actually drive purchases.

Video widget on product page
Result
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over$500,000additional revenue in 2023
Takeaway
If technical complexity is holding back your video strategy, AI can simplify deployment and uncover performance insights—while you focus on creating great content. Look for solutions that both simplify implementation and show what’s driving results.
The Human + AI Marketing Team
Whatever marketing challenge you’re tackling, there’s likely an AI tool that can help. These platforms don’t replace your team—they eliminate repetitive, time-consuming tasks so your people can focus on strategy and creativity.
Ready to bring AI into your marketing team? Start here:
- Spot the gaps: Look for data-heavy or manual tasks that slow your team down.
- Research solutions: Find AI tools built for specific functions—many offer demos or free trials.
- Start small: Run a pilot. Test performance. Scale what works.
The shift to AI is already underway. Adopting these tools now puts you ahead—and lets your team focus on what they do best: building real relationships and driving sustainable growth.