AdTechGod Pod Ep. 122: Smarter Media for Mid-Market Brands with Marilois Snowman from Mediastruction

Date: February 24, 2026
Host: AdTechGod
Guest: Marilois Snowman, Founder & CEO, Mediastruction

Episode Overview

In this episode, AdTechGod sits down with Marilois Snowman, founder and CEO of Mediastruction, to explore how mid-market brands can leverage smarter media strategies to maximize business outcomes. The discussion delves into the unique challenges facing mid-market advertisers, the evolution of measurement in the digital space, the integration of advanced attribution and AI, and future trends in consumer behavior. Marilois shares candid insights around building her agency, empowering mid-market brands, and actionable advice for marketers navigating today’s rapidly changing adtech landscape.

Key Discussion Points & Insights

1. The Genesis of Mediastruction & Mid-Market Focus

[02:44-03:46]

• Marilois recounts her agency’s beginnings, starting with her recruitment to run a new venture at a major independent agency, which eventually led to founding Mediastruction.
• Mediastruction was built to serve mid-market brands by breaking down silos and designing an agency from the ground up for brands outside the enterprise/holding co structure.
• The agency has thrived for over 19 years with a primary focus on client outcomes.
• Quote:

  “I had a lot of ideas not coming from enterprise level organizations or hold cos about how I wanted to service mid market... building an agency geared for mid market from the ground up, which we did.”
  — Marilois Snowman [03:04]

2. The Measurement Evolution: From Digital Obsession to Holistic Impact

[04:26-06:04]

• Many mid-market brands historically fixated on digital channels due to their immediate, quantifiable metrics; this left offline channels undervalued due to lack of clear measurement.
• Recent advances—machine learning, affordable cloud computing—now make sophisticated attribution (e.g., media mix modeling, MMM) more accessible to mid-market brands.
• This allows brands to see the incremental impact of all media types, including regional events and offline triggers.
• Quote:

  “I had this idea of media mix modeling for a long time but I didn’t have the language... There’s got to be a better way for mid market brands to understand the impact of offline media and also the impact of media on off sales.”
  — Marilois Snowman [04:34]

3. The Mediastruction Approach: Education, Curation, and Agility

[06:04-08:48]

• Mediastruction delivers a high-touch, managed service, focused on paid media but also experiments with messaging through paid ads.
• A key challenge: educating brands on the complexities of MMM, and guiding them through data wrangling and model selection.
• Their process is not black-box; they customize/craft solutions using available algorithms and industry knowledge for faster, more precise modeling and optimization.
• Modern tools allow for rapid iteration—optimizing media quarterly or even monthly, versus old models that took 12-18 months to complete.
• Quote:

  “It’s not a black box solution. And then the speed with which you can now optimize... is new because just a couple of years ago, you would build a model, socialize it in a PowerPoint...and by then everything would have changed.”
  — Marilois Snowman [07:49]

4. Who They Serve: B2C Brands with Big Goals

[08:52-09:43]

• Mediastruction primarily focuses on B2C brands with annual spends from $1M-$50M and aggressive growth objectives.
• Their clients, such as regional banks and retailers, seek strategic media investment advice and outcome-driven planning.

5. The Rise of CTV and the Enduring Value of Linear

[09:43-12:08]

• As connected TV (CTV) becomes more accessible (with targeting and budgets within reach), mid-market brands are experimenting beyond traditional digital channels.
• CTV bridges branding and measurable performance, but for many regional brands, linear TV and terrestrial radio remain powerful due to local relevance and synergy with digital.
• Linear’s audience, often high-income and not yet cord-cutting, remains valuable for certain brands.
• Quote:

  “CTV as a medium kind of provides a good interim solution... But it is a digital medium so it does have some measurability...We’re still pretty bullish especially for regional brands on linear tv, terrestrial radio.”
  — Marilois Snowman [10:21]

6. AI and MMM: Opportunity, Caution, and Real-World Use Cases

[13:04-15:38]

• Mediastruction employs machine learning with human oversight for analytical modeling, noting recent AI pitfalls like “hallucinations” (erroneous outputs that require manual review/correction).
• They’re exploring LLM-powered “what if” analysis for their proprietary platform, but advise caution and transparency in AI-driven decisions.
• Quote:

  “AI can hallucinate... There was a Reddit thread...a brand realized that they had been using AI to make some pretty big decisions...and they were having to unravel that...A judicious use of AI is going to make things a little easier. But we're cautious.”
  — Marilois Snowman [13:29]

7. Changing Consumer Behavior & The Search Shift

[15:38-18:07]

• Declining web traffic and changing SEO effectiveness are impacting even mid-market brands, as consumers adopt new patterns: chat-based discovery, social, and generative AI-assisted research.
• Brands are being advised to adjust web copy and content to a more Q&A style (sometimes called AEO or “answer engine optimization”) to align with how search engines and AI assistants serve answers.
• Dedicated product placement inside tools like ChatGPT is emerging, but cost-prohibitive for smaller brands.
• Quote:

  “We’re seeing referral sources from chat GPT. We're realizing we're seeing fall offs in web traffic attributed to a change in the consumer journey...We're advising even mid market to think about their content, how they find, how they make themselves discoverable.”
  — Marilois Snowman [16:21]

8. The Next 12-18 Months: Outcomes, Education, and Mindset Shifts

[18:07-18:42]

• Clients remain steadfast in their desire for growth and outcomes, but are more open to advanced modeling (MMM) as AI becomes normalized and less “magical.”
• The shift is making complex analytics seem more tangible to marketing decision-makers.

9. Marilois’s Key Advice for Brands

[18:42-20:02]

• Brands should prioritize hiring a “chief data evangelist”—someone curious who understands both the questions to ask and the full spectrum of how data impacts the business—not just a builder, but a strategic thinker.
• Many mid-market brands lack this role, though enterprises often combine it with the CMO function.
• Quote:

  “What I don't see very often is what I want to call a chief data evangelist—a person who just knows what questions to ask and has a curiosity across marketing as a whole. That would be one of my first hires.”
  — Marilois Snowman [18:58]

Notable Quotes & Memorable Moments

• “There's got to be a better way for mid market brands to understand the impact of offline media and also the impact of media on off sales.”
  — Marilois Snowman [04:34]

• “It's not a black box solution...the speed with which you can now optimize...is new because just a couple of years ago, you would build a model, socialize it in a PowerPoint...and by then everything would have changed.”
  — Marilois Snowman [07:49]

• “CTV as a medium kind of provides a good interim solution...We’re still pretty bullish especially for regional brands on linear tv, terrestrial radio.”
  — Marilois Snowman [10:21]

• “AI can hallucinate...A judicious use of AI is going to make things a little easier. But we're cautious.”
  — Marilois Snowman [13:29]

• “We're seeing referral sources from chat GPT. We're seeing fall offs in web traffic attributed to a change in the consumer journey...It's definitely changing.”
  — Marilois Snowman [16:21]

• “What I don't see very often is...a chief data evangelist...That would be one of my first hires.”
  — Marilois Snowman [18:58]

Timeline of Important Segments

• [02:44] – Marilois shares the founding story and mission of Mediastruction
• [04:26] – Discussion on the measurement gap for offline media in mid-market brands
• [06:04] – The Mediastruction process: education, data curation, and custom modeling
• [09:43] – The rise of CTV and the continuing relevance of linear for certain mid-market brands
• [13:04] – Layering AI into analytics: promise and perils
• [15:38] – How changing consumer behavior is reshaping web traffic, search, and SEO
• [18:42] – Marilois’s key advice for brands on critical data leadership hires

Summary Takeaway

This episode offers a practical, candid playbook for mid-market brands seeking to modernize their media strategies. Marilois Snowman articulates the value of moving beyond siloed, digital-only tactics, instead embracing holistic media measurement and nimble, data-curated planning—supported by advances in modeling and AI, but always with human oversight. Listeners walk away with actionable strategies for hiring smarter, adapting marketing for evolving consumer behaviors, and maximizing every media dollar in a crowded, complex landscape.