Always Be Testing

Avishag Daniely built One Layer's entire marketing and partnerships function from scratch — coming from a background in IDF cyber intelligence. She shares how her military analytical training shaped her approach to B2B GTM, what it takes to build pipeline when no one's heard of your company yet, and why she treats every marketing decision like an intelligence problem.

Affiliate fraud investigator Ben Edelman joins Tye for an emergency episode breaking down the "Phia fiasco" that's rattling the affiliate marketing industry. Edelman, who's spent over 20 years catching affiliate fraud and has collaborated with Tye on forensic cases throughout his career, walks through what makes this case different from the usual stand-down violations that have hit shopping plugins like Honey and Microsoft Edge in the past.

Logan Dunn, Head of E-commerce at Wyze, ran 100 ads at once, cut traffic, and watched conversions go up. In this episode, he breaks down the counterintuitive paid media playbook behind Wyze's D2C growth — including why narrow targeting beats broad reach, how in-house creative unlocks faster iteration, and what most brands get wrong about scaling paid spend.

Nancy Harnett (Instantly) and Guy Yalif (Webflow) break down exactly how SaaS companies can grow their partner programs from single-digit contributions to 25% of pipeline and revenue. They cover partner ICP alignment, building a best-in-class partner experience, and why most programs stall before they ever scale.

Yoray Halevy joins Tye DeGrange to dig into why brands can't rely on Vogue-style coverage to build credibility — and what they should be doing instead. Yoray shares how his company creates authentic content that speaks to specific audiences, why last-click attribution misses the full picture, and how a paid media distribution mindset unlocks the true value of content. They also explore how AI is changing the content-to-distribution relationship, and why experimentation is the key to knowing what actually works.

Tom Rathbone joins Tye DeGrange to break down the real challenges of measuring CTV — from probabilistic Nielsen-era methods to where the industry stands today. Tom shares how TVScientific approaches measurement, why holdout testing is still underutilized by most brands, and how to build a test media plan that actually generates signal. Plus: why single-touch attribution fails in a multi-channel world and what it takes to move from vanity metrics to a long-term growth strategy.

For Mother's Day, Tye DeGrange hands the mic to his mom — Ginger DeGrange. Rodeo queen. Horse trainer. Summer camp founder. 36-year instructor who's taught 10,000+ students the art of horsemanship at Santa Rosa Junior College. This one's full of great stories: the OJ Simpson trail ride, a student who went on to dine with the Queen of England, competing at the Grand National, and the old reinsman who taught Ginger that quiet confidence beats loud energy every time. Plus real lessons on building confidence, earning trust, and leading with feel — on and off the horse.

Adam Dewer leads partnerships at Soci.ai — an AI-powered platform helping 800+ multi-location brands manage their local presence across social, listings, and reviews.

In this episode, Tye and Adam get into the "zero platform" future of local marketing, where AI agents replace dashboards entirely — handling updates, review responses, and social posts through a simple SMS conversation with the business owner. They also dig into Adam's approach to building and measuring partnerships (he tracks just two numbers: net new revenue and expansion revenue) and why he'd take 10 incredible partners over 100 mediocre ones any day.

What you'll learn:
• Why "automagically" is the most dangerous word in AI marketing
• How to identify your AI strength areas before trying to scale
• Why agency partners are Adam's #1 channel play right now
• The early signals that tell you a partner is going to scale
• How to tee up a partner for success without making it transactional
• What the "zero platform" future looks like for a local business owner

Connect with Adam: linkedin.com/in/adamdewer | soci.ai

The first episode of SaaS Class tackles one of the most pressing questions in B2B marketing: how do you win when your buyers are finding answers on ChatGPT and Perplexity instead of Google?

Tye sits down with Nancy Harnett (Head of Affiliate & Offsite AEO at HubSpot) and Guy Yalif (Webflow, formerly CEO of Intellimize) to break down what's actually working in the race to become the most visible brand in AI search. Nancy reveals how HubSpot generated 200K+ AI citations in 6 months and became the #1 most visible CRM across AI search. Guy shares how Webflow appears in 67% of the AI answers they care about — more than any other CMS including WordPress.

What you'll learn:

• Why AEO is a natural evolution of great SEO, not a replacement
• The 4 pillars of AEO: Content, Technical, Authority & Measurement
• Why affiliate marketing is now the "new backlinks" — driving top and bottom-funnel AI impact
• How HubSpot used Reddit to go from ~100 to 146K AI citations in 7 months
• Content depth and localization: what actually moves the needle
• How to build a closed-loop measurement system to iterate fast

In this episode of Always Be Testing, host Tye DeGrange sits down with Lacie Thompson, an experienced agency leader, affiliate and partner marketing expert, and former operator at brands like Expedia and Blue Nile. After successfully scaling and exiting her agency, Lacie is now building Media Pack—an AI-powered platform designed to modernize and streamline how brands buy media.

The conversation explores Lacie’s journey across brand-side, agency, and startup environments, highlighting how real-world frustrations led her to build solutions rooted in efficiency and transparency. From the broken workflows of flat-fee media buying to the lack of standardization across the industry, she unpacks the core problems that still slow teams down—and how AI is now making it possible to rethink the entire system.

Beyond product and tech, the episode dives into the mindset behind building and scaling—from making decisions beyond data, to taking risks before feeling “ready,” to focusing on what truly creates differentiation. It’s a grounded and insightful look at what it takes to build in today’s AI-driven landscape while staying anchored in real customer needs.