When Mason Dorner was just 24 years old, he found himself managing over $30 million in annual advertising spend for Disney—one of the world’s most recognizable brands. Today, he’s not only the founder of Ascenditt, a successful digital marketing agency, but also the co-founder of Medley Wine Company and a key player in building a fintech startup from $1 million to $100 million in ARR, culminating in a billion-dollar exit.
In this comprehensive interview, Dorner shares battle-tested strategies, hard-earned lessons, and his predictions for the future of digital marketing. Whether you’re running an e-commerce brand, a B2B service company, or exploring new business opportunities, the insights in this article will help you navigate the rapidly evolving digital landscape of 2026.
One of the most significant disruptions in digital advertising recently has been Meta’s major platform update rolled out just before Black Friday 2025. “It was like the end of October, less than 30 days to adjust, and yeah, it wreaked havoc on a lot of accounts,”Dorner explains. “We saw ads that were working—their CPAs literally tripled, CPMs going up. It just didn’t do what it’s supposed to be.”
The concept behind Meta’s update was promising: create a smarter engine to match the right ad to the right person in real-time, theoretically delivering higher conversion rates. However, the execution fell short.
Dorner’s agency discovered something counterintuitive: going back to old-school, hand-selected targeting actually outperformed Meta’s new automated system.
“I got the same ad for my legacy campaign whose CPA tripled, duplicated the campaign, relaunched with hand-selected targeting. CPA dropped 70% back down to target,” Dorner reveals.
This finding contradicts Meta’s official guidance, which recommended:
Key Takeaway for Marketers:Don’t blindly follow platform recommendations. Test alternative approaches, especially when new updates create volatility in your campaigns.
For years, digital marketers had two primary options: Meta (Facebook/Instagram) and Google. That landscape has fundamentally shifted.
“We’ve gone from two platforms to five viable platforms,”Dorner states. “The spend is getting a lot more spread out.”
The new advertising ecosystem includes:
Why This Matters:The diversification of viable ad platforms means marketers can hedge their bets and aren’t completely dependent on Meta’s algorithmic whims or Google’s pricing fluctuations.
As someone managing multiple six figures in monthly ad spend, Dorner has extensively tested AI across various marketing functions. His assessment is nuanced and practical.
AI-Generated Video Ads“It’s not quite there yet in my opinion in terms of having AI-generated videos as your ads. It’s 80-90% there, but people can tell. The results that we’ve seen when we’ve run those ads for some of our clients are not great. People want to see real people.”
The Exception:AI avatars can work better for B2B services where there’s no physical product in frame, but even then, results are inconsistent.
Strategic Recommendation:Use AI as a powerful assistant for research, copywriting, and analysis—but keep humans in front of the camera for video ads.
One of the most valuable insights from Dorner’s experience comes from a costly lesson learned years ago with an e-commerce client.
The Problem:A client was scaling Meta ads aggressively. Meta’s dashboard showed amazing results, so they kept increasing spend. However, actual store revenue wasn’t growing proportionally.
The Discovery:After implementing an attribution platform, they discovered Meta had “way lower incrementality than what Meta’s performance was showing.”
The Solution:They reduced Meta spend by approximately 40% and reallocated budget to Google, which showed higher incrementality than Google’s own reporting indicated.
Dorner’s Rule:“Once you’re spending over $50K a month, I recommend people have one of these platforms.”
Cost Consideration:Attribution platforms typically run $500-$1,000 monthly, which is justified when:
Why It Matters:Without proper attribution, platforms like Meta and Google will overcount conversions and credit themselves for conversions they didn’t actually drive. This leads to misallocated budget and suboptimal ROAS.
Dorner’s Disney experience provides a masterclass in seizing opportunities and delivering results.
Starting from the Bottom:Dorner joined Disney as a contractor at age 24—the youngest person on the team—with the smallest portfolio of accounts that nobody else wanted.
The Big Break:When the most senior team member (who managed the largest account portfolio) went on maternity leave, Dorner was moved to cover the $30 million book of business.
The Differentiator:While other team members avoided the complexity of syncing revenue data across platforms (Google to Adobe to Marin), Dorner did the extra work.
“I got revenue flowing into my accounts. I was able to grow those accounts 30-40% a year just by having that revenue visibility. No one else was willing to do the extra work to get that visibility.”
Over 2.5 years managing Disney’s largest digital advertising accounts:
The Calculated Risk:After just 18 months in a full-time role that took 18 months to earn, Dorner left Disney for a tiny startup—a decision friends and family thought was crazy. “At Disney, I was operating really a couple levels above my title and above my pay grade. But there was no opportunity to actually move up. Someone’s got to retire or get hit by a bus.”
The Lesson for Employers:When Dorner asked for a $10,000 raise after generating nine figures in incremental revenue, Disney refused. He left and helped build a billion-dollar company.
Don’t lose rockstar employees over modest compensation increases.
After Disney, Dorner took a pay cut to join Stax, a fintech startup with:
Four years later:
“Most people are only good for one stage of growth at a startup. Good people are worth two. It’s unheard of—top 1% of the 1%—if you can go through three or more stages of growth.”
Dorner successfully navigated four distinct phases:
What Made It Possible:Working one level removed from the co-CEOs (a brother-sister team) gave Dorner “a crash course in how they were running this billion-dollar company up close.”
Key Insight:The perfect preparation for entrepreneurship isn’t just working at startups—it’s being close enough to leadership to understand how strategic decisions are made at each growth stage.
“You go to Europe, you drink the wine over there, you can drink every day and not feel a thing negative. You come here, you drink US wine, you feel it the next day.” Dorner identified a significant market opportunity: 76 approved additives can be added to US wine without label disclosure—all illegal in Europe.
Medley Wine Companyoffers:
The Economics:
“We spend multiple six figures on ads through our own ad account. Anything I want to try for one of our clients, I can go try it there first with my own dollars. I don’t have to sell somebody on it. I don’t have to get approval. I just go do it.”
This creates a massive competitive advantage:
Agency Owner Takeaway:Having your own product-based business alongside an agency provides invaluable testing opportunities and deepens client empathy.
After years of success in e-commerce and B2B lead generation, Ascenditt is launching a specialized medical marketing division: White Coat Agency.
Market Analysis:
Case Study:Self-pay MRI clinic (similar to Prenuvo)
Target Market:
Strategic Approach:
Why It Works:“The approach for a roofer versus a dentist office is really not that different. It’s person searching for X service in Y city.”
“We won’t work with any e-commerce sellers that aren’t on Shopify. It is the dominant platform.”
Key Advantages:
How It Works:
Use Case:“Predominantly for inventory float. With e-com, cash flow is a challenge. You can have a super profitable business, but all of a sudden you got to put a half-million-dollar payment down to get your inventory.”
Investment Note:Dorner owns “a ton of stock” in Shopify—a recommendation worth noting given his insider perspective on e-commerce infrastructure.
“ChatGPT is gold. The traffic right now is free. If you’re the number one recommendation in a category for ChatGPT and it puts your product right there in their feed, that’s super valuable.”
Recent Development:ChatGPT integrated with Shopify checkout, making product recommendations actionable with immediate purchase capability.
Strategic Implication:Traditional SEO isn’t dying, but AI-powered search is becoming a critical traffic source. Optimizing for AI recommendations is the new frontier.
“Reddit was kind of this forgotten platform for so long. Now all of a sudden, it’s super important.”
Why Reddit Matters Now:
How to Do It Right:
“You got to be really intentful about it and add value. The AI is going out there and it’s searching and picking up names and brands and companies and then adding recommendations, and it doesn’t even need links.”
If forced to start over with minimal capital, Dorner would choose a service-based business with low overhead—and specifically avoid trying to build a tech career.
Why Not Tech?“AI is taking out the entry-level stuff. Folks like you and me that have been in it for a long time, we’re going to be fine because the AI sits below us. It’s replacing entry-level developers, marketing managers, copywriters.”
Phase 1:Start doing the service yourself
Phase 2:Hire someone for day-to-day operations
Phase 3:Apply marketing and sales expertise
The Underlying Principle:“The name of the game right now is convenience. If you can take a legacy service and make it more convenient and bring it to someone, you’ll absolutely kill it.”
Dorner’s perspective on the tariff situation is informed by real-world impact on his client base:
“The tariffs have been brutal. They have completely wrecked our e-commerce customers. That’s half of our business.”
The Situation:
The Impact:
Who Benefits:Large players like Amazon and Walmart
The Promise:Tariff revenue would offset impact through:”
The Reality (as of early 2026):
The Execution Problem:“You can’t have tariffs change from 10% to 40% to 30% month to month. People can’t do business that way.”
Tech Sector:Still performing well, largely unaffected
Medical Sector:Thriving, cash-based services immune to tariff impact
E-Commerce:Significant downcycle, driving Ascenditt’s expansion into medical marketing
Dorner’s Outlook:“I’m hopeful for it in 2026, but it hasn’t come to fruition yet. I support the concept of it. I just haven’t seen it executed in my opinion the way that we were sold on it.”
“We overpay for rockstars and it works way better.”
Lesson from both Disney (losing talent over $10K) and Stax (retaining talent through premium compensation):
Dorner’s competitive advantage at Disney:
“I was able to grow those accounts 30-40% a year just by having that revenue visibility. No one else was willing to do the extra work.”
Benefits of agency + product business model:
Ascenditt’s expansion strategy:
“If you scatter and you try to do too much too soon, you try to be everything to everyone, it doesn’t work.”
Dorner’s career trajectory involved multiple calculated risks:
“I’ve always taken a lot of calculated risks in my career. I changed jobs every couple years whenever I saw there was an opportunity to leg up.”
Why White Coat is separate from Ascenditt:
Minimum Viable Setup (Under $50K/month spend):
Recommended Setup ($50K+/month spend):
2026 Recommended Mix:
Risk Management:Don’t put more than 50% of ad budget on any single platform.
Implement Immediately:
Proceed with Caution:
Avoid for Now:
Phase 1: Listen and Learn
Phase 2: Participate Authentically
Phase 3: Strategic Mentions
Following Meta’s platform recommendations without testing alternatives.When Meta’s algorithm update caused CPAs to triple, the solution was actually going back to manual audience targeting—the opposite of Meta’s guidance.
Once you’re spending over $50,000 per month on advertising, especially if you’re on multiple platforms. The $500-1,000 monthly cost is justified by preventing budget misallocation due to platform over-reporting.
Not yet for most use cases.While AI is 80-90% there, people can tell the difference and results suffer. The exception might be B2B services without physical products, but even then results are inconsistent. Use AI for copywriting and research instead.
Shopify, without question.Dorner’s agency won’t work with brands on other platforms. Key advantages include constant innovation, ChatGPT checkout integration, and Shopify Capital for inventory financing.
Focus on building brand authority through:
A service-based business with low overhead, specifically:
These require minimal investment, have recurring revenue potential, and can scale by hiring teams once cash flow is established.
Brutally.Tariffs have “completely wrecked” many e-commerce businesses, with some clients going out of business entirely. The impact is most severe on small businesses who can’t absorb cost increases like Amazon and Walmart can.
Redditand CTV advertising. Reddit influences AI recommendations and ChatGPT results. CTV provides brand awareness at scale with better targeting than traditional TV.
Specialize with separate brands for different niches.Ascenditt maintains distinct identities for e-commerce, B2B tech, and medical marketing—each with dedicated teams. Add services slowly (1+ year apart) with methodical implementation.
Pay rockstars above market rate.The output difference between A-players and C-players is 2-3x, but the cost difference is minimal. Three mediocre team members cost more than one exceptional performer.
Mason Dorner’s journey from managing Disney’s massive advertising budgets to building a billion-dollar startup and launching successful product brands provides a masterclass in modern marketing and entrepreneurship.
Medley Wine Company:DrinkMedley.com
Organic, zero-sugar, zero-additive European wine delivered to your door at $9/bottle.
White Coat Agency:WhiteCoat.com
Specialized digital marketing for elective medical practices, dental offices, and aesthetic medicine providers.
Ascenditt:E-commerce and B2B marketing agency with proven track record at scale.
This article is based on an in-depth interview conducted by Clayton Turnerof Leedlywith Mason Dorner, founder of Ascenditt and Medley Wine Company. The conversation covered digital marketing strategy, entrepreneurship, agency growth, and practical tactics for 2026.
For more interviews with successful entrepreneurs and marketers, subscribe to the Leedly YouTube channel.
Published:12-29-2025
Author:Clayton Turner, Founder of Leedly
Guest Expert:Mason Dorner, Founder of Ascenditt & Medley Wine Company
Reading Time:23 minutes
Category:Digital Marketing, Entrepreneurship, E-Commerce
Tags:#DigitalMarketing #MetaAds #GoogleAds #ECommerce #AIMarketing #AttributionPlatforms #Shopify #StartupGrowth #AgencyLife #MedicalMarketing #ChatGPTSEO #RedditMarketing #WineBusiness #EntrepreneurInterview #Marketing2026
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The recent disruptive update from Meta's advertising platform has significantly impacted digital marketers. Dorner's agency discovered that going back to more manual targeting and ad management actually outperformed Meta's new automated system, contradicting the platform's official recommendations. This finding highlights the importance of not blindly following platform guidance and instead testing alternative strategies to find what works best for your business.
Marketers must be agile and adapt quickly to platform changes, as relying too heavily on a single channel can leave campaigns vulnerable to algorithmic shifts. By diversifying ad spend across multiple platforms, including emerging options like CTV and TikTok, marketers can hedge their bets and reduce dependence on any one volatile channel.
AI-powered tools like ChatGPT are revolutionizing various marketing tasks, from content creation to audience research and data analysis. Dorner has found great success leveraging ChatGPT to draft ad copy, email sequences, and social media posts, dramatically reducing initial creation time. These AI-assisted workflows free up marketers to focus on higher-level strategy and optimization.
However, Dorner cautions that AI-generated video ads are not yet ready to replace human-produced creative. The personal touch and authenticity of real people in ads are still essential, especially for consumer-facing brands. Marketers should carefully evaluate where AI can enhance their processes and where human expertise is still required for optimal results.
As digital marketing becomes increasingly complex, with spend spread across multiple channels, accurate attribution is crucial for driving performance. Dorner recommends that marketers invest in an attribution platform once their monthly ad spend exceeds $50,000, as these tools provide critical visibility into the true incrementality of each channel.
By implementing an attribution platform, Dorner's agency discovered that Meta had significantly lower incrementality than its own reporting had indicated. This finding allowed them to reallocate budget away from Meta and toward Google, which showed higher incremental value. Proper attribution is essential for making informed, data-driven decisions to optimize marketing spend and drive better results.
While e-commerce has been a dominant focus for many digital marketers, Dorner sees significant opportunities in expanding into other industries, such as the medical sector. His agency, Ascenditt, has identified a gap in the market where medical practices are frequently underserved by their marketing providers, presenting a chance to leverage sophisticated marketing strategies and expertise.
By launching a dedicated medical marketing brand, White Coat, Ascenditt has been able to tailor its approach to the unique needs of the medical industry. This niche focus has allowed the agency to build trust and credibility with clients, delivering better results than a one-size-fits-all approach. Diversifying beyond e-commerce can unlock new avenues for growth and help agencies future-proof their business.
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The recent disruptive update from Meta's advertising platform has significantly impacted digital marketers. Dorner's agency discovered that going back to more manual targeting and ad management actually outperformed Meta's new automated system, contradicting the platform's official recommendations. This finding highlights the importance of not blindly following platform guidance and instead testing alternative strategies to find what works best for your business.
Marketers must be agile and adapt quickly to platform changes, as relying too heavily on a single channel can leave campaigns vulnerable to algorithmic shifts. By diversifying ad spend across multiple platforms, including emerging options like CTV and TikTok, marketers can hedge their bets and reduce dependence on any one volatile channel.
AI-powered tools like ChatGPT are revolutionizing various marketing tasks, from content creation to audience research and data analysis. Dorner has found great success leveraging ChatGPT to draft ad copy, email sequences, and social media posts, dramatically reducing initial creation time. These AI-assisted workflows free up marketers to focus on higher-level strategy and optimization.
However, Dorner cautions that AI-generated video ads are not yet ready to replace human-produced creative. The personal touch and authenticity of real people in ads are still essential, especially for consumer-facing brands. Marketers should carefully evaluate where AI can enhance their processes and where human expertise is still required for optimal results.
As digital marketing becomes increasingly complex, with spend spread across multiple channels, accurate attribution is crucial for driving performance. Dorner recommends that marketers invest in an attribution platform once their monthly ad spend exceeds $50,000, as these tools provide critical visibility into the true incrementality of each channel.
By implementing an attribution platform, Dorner's agency discovered that Meta had significantly lower incrementality than its own reporting had indicated. This finding allowed them to reallocate budget away from Meta and toward Google, which showed higher incremental value. Proper attribution is essential for making informed, data-driven decisions to optimize marketing spend and drive better results.
While e-commerce has been a dominant focus for many digital marketers, Dorner sees significant opportunities in expanding into other industries, such as the medical sector. His agency, Ascenditt, has identified a gap in the market where medical practices are frequently underserved by their marketing providers, presenting a chance to leverage sophisticated marketing strategies and expertise.
By launching a dedicated medical marketing brand, White Coat, Ascenditt has been able to tailor its approach to the unique needs of the medical industry. This niche focus has allowed the agency to build trust and credibility with clients, delivering better results than a one-size-fits-all approach. Diversifying beyond e-commerce can unlock new avenues for growth and help agencies future-proof their business.
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