The IRL Advantage: Why Brand Operators Are Craving In-Person in an AI World

The IRL Advantage: Why Brand Operators Are Craving In-Person in an AI World

In a world flooded with AI tools, chatbots, and endless online content, the most valuable insights for brand operators are increasingly coming from somewhere unexpected: in-person events. In this episode, Alasdair McLean-Foreman and Cameron Yoder dig into why the demand for face-to-face connection is surging among e-commerce brand operators, even as (and maybe because) AI continues to dominate every conversation. They share first-hand experiences from recent events — including TikTok's global Partner Awards in New York City — and unpack what was revealed there about TikTok's Symphony API and its partnership with C-dance 2.0, a cutting-edge AI avatar model that's set to transform how brands create content at scale. The conversation explores why operators are experiencing real FOMO around AI adoption, how to find the right events to attend, and what Teikametrics is planning with a new series of intimate micro-events for top brand operators. Whether you're a large-scale brand operator trying to cut through the noise or just wondering how to get the most out of the events you attend, this episode has practical advice — and a reminder that in an AI-first world, the most irreplaceable edge might just be a good dinner conversation. 0:00 — Introduction 0:51 — How Brand Operators Learn Today 1:36 — The Events Landscape: What's Changed 2:26 — Teikametrics Micro-Events 4:22 — Masterminds vs. Large Conferences 6:38 — AI FOMO and the Need to Connect 7:38 — TikTok Partner Awards NYC 8:25 — TikTok Symphony API & C-dance 2.0 10:27 — The Irony of AI Dominating In-Person Events 11:53 — Why In-Person Filters for Quality 12:47 — How to Approach Your Event Strategy 14:34 — Don't Chase Marquee Events 16:09 — Find the Right Crowd Anywhere 16:53 — Final Advice: Have Fun 17:07 — Wrap-Up Key Takeaways * * In-person demand is spiking because of AI, not in spite of it. The more AI fills the information landscape, the more operators crave trusted, high-quality human conversation. Events are the natural venue for that. * * FOMO is a real driver. Brand operators are anxious about falling behind on AI adoption — tools like MCPs, new LLMs, and platform-native AI features are moving fast. Getting in a room with peers is one of the fastest ways to cut through the noise. * * TikTok's Symphony API is a big deal. TikTok is partnering with C-dance 2.0 to let brand operators create AI-generated avatar content at scale and lower cost — and TikTok is actively encouraging it, not penalizing it. Teikametrics is one of the early API partners. * The best conversations happen off the main stage. Whether it's a dinner, a mastermind, or a casual side event, the real value at any conference tends to come from smaller, more intimate settings — not the booth or the keynote. * You don't have to attend every marquee event. The advice: find the most convenient, low-stress option and plug into the right crowd wherever you go. The right people show up at a lot of different events. * Teikametrics is launching more micro-events. The team is planning intimate gatherings with top brand operators — smaller, curated settings designed to foster real knowledge-sharing among high-level peers. * Don't overthink it — have fun. The simplest advice for getting value from in-person events: pick something you'll enjoy. Open, relaxed environments produce the best conversations and the most genuine connections.

Bye Rufus, Hello Alexa: Amazon's Big Bet on AI Shopping

Amazon has quietly retired the Rufus product name and folded it into a new offering: Alexa for Shopping. In this episode, Alasdair and Cameron break down what the rebrand really signals, why Rufus's reported 300M+ transactions in 2025 are being absorbed rather than abandoned, and whether Alexa can realistically compete with ChatGPT, Claude, and Gemini for the future of agentic commerce. They dig into Amazon's inherent bias problem (an Alexa shopping agent will never recommend Walmart), the $50B+ ad revenue at stake if consumers shift to LLM-first product discovery, the rumored Alexa phone, and why Prime's delivery moat still keeps Amazon untouchable — for now. Plus: shopping homework for next episode. Chapters 00:00  Cold open 00:42  Amazon axes the Rufus name 01:45  Why fold Rufus into Alexa? 04:16  The Alexa Plus push and unlocking voice purchasing 05:09  Alexa vs. ChatGPT voice — the capability gap 06:40  Inside Amazon's official announcement 07:13  Is Alexa biased? Best result for you vs. best for Amazon 10:39  Prime shipping moat vs. price-driven LLM picks 12:06  ChatGPT ads and using LLMs for real product research 14:19  Will Amazon ever unblock the LLMs? The TikTok parallel 15:42  The $50B ad revenue problem 17:34  Amazon's hedging strategy and the rumored Alexa phone 19:42  Where do consumers shop first — Amazon or LLMs? 21:13  Why Prime's moat still holds 22:14  The discovery spectrum: TikTok, LLMs, and agentic commerce 23:43  Homework: shopping experiments for next episode Key Takeaways * Rufus is being absorbed, not killed. Amazon is folding Rufus's functionality and reported 300M+ 2025 transactions into the marquee Alexa brand rather than retiring the product itself. * It's a branding consolidation play. One AI voice, one ecosystem — fewer competing personas, more weight behind Alexa Plus. * Convenience vs. trust is the real split. Alexa for Shopping is the convenience layer; ChatGPT and Claude are increasingly the "trusted advisor" for real product research. * The bias problem is structural. Alexa for Shopping will never recommend a Walmart deal, which limits its credibility as an unbiased agent. * Amazon's $50B+ ad business is the elephant in the room. If consumers shift from keyword search to LLM-first product discovery, the entire sponsored-results revenue model is at risk. * Amazon is almost certainly hedging. Big investment in OpenAI, rumored Alexa phone, job postings for agentic commerce — multiple bets running in parallel. * Prime's moat is still untouchable. Two-day (and same-day) shipping, easy returns, and delivery infrastructure remain Amazon's strongest defense. * Discovery is becoming a spectrum. TikTok-style algorithmic discovery at the top, LLM-driven decision-making in the middle, and Amazon convenience at the bottom of the funnel. * Watch what consumers do next. If shoppers start opening an LLM before Amazon, the balance of power shifts fast.

Announcing Market IQ: AI-Enabled Competitive Intelligence for Amazon & Walmart

Marketplace competition on Amazon and Walmart is a 24/7 problem — and most sellers don't have the time, data, or tooling to stay ahead of it. In this episode of HITL, we announce the launch of Market IQ, an AI-enabled competitive intelligence engine designed to tell sellers exactly who they're competing against, where their ad dollars are going, and what to do next to win page-one rank. We walk through the core problem Market IQ solves, why page-one visibility drives roughly 89% of clicks and sales, and how the product distinguishes between true substitutes, adjacent competitors, and "auction inflators" creating noise. We also dig into how Market IQ uses 13+ signals — including pricing, reviews, inventory, and listings — to surface insights that generic AI tools and ChatGPT-style lookups simply can't match. Finally, we cover what's coming next: in-app workflows launching in the next 60 days that will let sellers take action directly inside the product, plus how Market IQ fits into the broader Teikametrics ecosystem as the "navigation compass" for advertising and catalog decisions. 2. Key Takeaways * Competition on Amazon and Walmart is a 24/7 challenge — new sellers, new pricing, and new ad strategies emerge constantly, and human teams can't track it all manually. * Page one is where ~89% of clicks and sales happen, which is why Market IQ is laser-focused on page-one visibility for both paid and organic results. * Market IQ is built on real ad-spend data, not generic competitor lookups — it shows you exactly who's competing against you on the keywords you're already investing in. * The product uses 13+ signals (pricing, reviews, inventory, listings, and more) to classify competitors into meaningful buckets: direct substitutes, adjacents, and auction inflators. * Not all competitors deserve the same response — Market IQ helps sellers decide when to play defense, when to go on the attack, and when to ignore noise. * Market IQ is the connective tissue of the Teikametrics platform — feeding insights into advertising, catalog (Smart Pages), and listing optimization workflows. * It's available now for advanced and enterprise customers, with in-app action workflows shipping in the next ~60 days. * The earlier you plug in, the better — Market IQ compounds in value as the AI continues to learn your category and competitive set. Chapters: 00:00 Cold Open: Why Sellers Can't Keep Up With the Competition 00:46 The Biggest Problem Sellers Face on Amazon & Walmart Today 01:32 What Is Market IQ? 02:00 Why Page One Is the Real Battleground 02:18 How Market IQ Works 03:24 Why 89% of Clicks & Sales Happen on Page One 03:51 What Sets Market IQ Apart 05:07 The Three Types of Competitors 05:47 Market IQ + the Teikametrics Platform 07:00 Who Market IQ Is Built For 07:51 What's Next: In-App Action Workflows 08:41 Why Plugging In Early Matters 09:08 How to Get Access Join our free in-depth Market IQ webinar at the end of this month for a full product walkthrough with live visuals. The link is in the description below — register now to see Market IQ in action.

How to Break Through on TikTok: Lessons for Big Spenders & Breakthrough Brands

Is TikTok really for every brand? Ali Tatarzyn, Director of Product at Teikametrics, breaks down what's working — and what's not — for brands on TikTok in 2026. TikTok has officially moved past the experimental phase. Brands are allocating real budgets, building dedicated teams, and treating it as a serious growth channel — but most are still getting stuck. In this episode, Ali Tatarzyn, Director of Product at Teikametrics, breaks down what she's hearing from brands every week, from enterprise players investing heavily to smaller brands just dipping a toe in. She shares why TikTok isn't a fit for every brand, the two very different conversations happening across the industry right now, and the mindset shift required to actually win on the platform. Whether you're trying to prove halo impact to leadership or just trying to get your first piece of content to land, this conversation lays out where brands get stuck — and how to break through. Key Takeaways TikTok isn't for every brand — it rewards a specific way of operating that's fast, content-heavy, and creator-driven, and brands unwilling to adapt will struggle. The real challenge isn't ad spend or optimization, it's content. Most brands aren't built for the speed and volume TikTok demands. Organic, affiliate, and paid aren't separate strategies — they form a loop. Test organically, scale with affiliates, amplify winners with paid. Two distinct conversations are happening right now: mature brands focused on halo impact and measurement, and breakthrough brands trying to figure out why nothing is sticking. Big spenders get stuck on attribution and proving incrementality to leadership. Breakthrough brands get stuck producing content that's too polished and too brand-heavy. Letting go of creative control is one of the hardest — and most important — shifts brands need to make. Trust your creators to do what they do best. The time to invest is now. With Ulta, Sally Beauty, and other major retailers joining TikTok Shop, the platform is only getting more serious — but it's not too late. Don't bring your Amazon or Meta playbook to TikTok. Speed, volume, and creative iteration win over structure and control. Chapters 00:00 — Intro: Why Ali has a front-row seat to the TikTok conversation 00:54 — Is TikTok for every brand? A spicy take 03:20 — The biggest questions brands are asking right now 06:00 — The organic, affiliate, and paid loop 09:02 — The two camps of brands on TikTok 11:00 — Where big-investment brands get stuck (and how to fix it) 14:08 — The halo effect and the measurement problem 15:33 — Where breakthrough brands get stuck 17:22 — Why relinquishing creative control matters 18:38 — Final takeaways: the time is now 21:45 — Ulta, Sally Beauty, and what big retail moves signal for TikTok

TikTok Halo: Discover on TikTok, Buy on Amazon

The dominant consumer pattern of 2026 isn't buy on TikTok — it's discover on TikTok, buy on Amazon . That's great for the brands paying attention. It's a measurement nightmare for everyone else. In this episode, Cameron Yoder is joined by Alasdair McLean-Foreman, CEO and Founder of Teikametrics to break down the TikTok Halo: Why traditional attribution falls apart between the two platforms, why the discounting strategy that works for native TikTok Shop products actively hurts established brands, and how creator behavior — including off-message claims like "this product is being discontinued" — turns into a brand-safety problem the moment a video goes viral. The conversation gets practical: what big brands should actually measure (hint: not direct ROAS), why TikTok belongs in an experimental, upper-funnel bucket for most established brands, why the content engine is the muscle to start building today even if you can't justify the spend yet, what Amazon tried and abandoned on the discovery side, and why the DTC brands that swore off Amazon five years ago are quietly leaning back in — using Amazon Prime as a fulfillment layer rather than a competing channel. Takeaways at the end, and a tease that this won't be the last TikTok Halo conversation on the show. Timestamps / Chapters 00:00 — Cold open: discover on TikTok, buy on Amazon Prime 00:44 — What "TikTok Halo" actually means: the attribution gap, defined 01:55 — Why discounting blows up the strategy for established brands 03:39 — Consumer trust: Amazon Prime vs. TikTok, and the younger-audience split 04:46 — When creators go off-script: the beauty brand and pet food cases 07:00 — The metrics question: why direct ROAS will disappoint you 09:21 — The right framing: experimental bucket, upper-funnel marketing 11:36 — Build the content muscle now (and why Amazon's TikTok-style feed failed) 15:00 — DTC's quiet pivot: leaning back into Amazon as a fulfillment layer 16:28 — Key takeaways and what's next Key Topics / Talking Points What you'll learn in this episode: What the TikTok Halo is and why it's the dominant cross-channel pattern in 2026 Why "discover on TikTok, buy on Amazon" is the strategy big brands need to plan around — even if it's harder to measure Why the discounting playbook that works for native TikTok Shop brands actively damages established brands' merchandising How consumer trust differs between TikTok and Amazon, and where the younger-audience exception applies Real examples of creator-driven brand risk (e.g., false discontinuation claims) and how to think about brand control on a content-first platform The metrics big brands should and shouldn't use to evaluate TikTok performance Why TikTok belongs in an "experimental bucket" — and what that bucket should fund Why building the content engine today matters more than nailing the ROAS math What Amazon tried on the discovery side, why it didn't work, and what that says about platform moat Subscribe on Spotify, Apple Podcasts, YouTube and beyond for more AI-related content!