Teikametrics MCP Explained: Connecting Amazon, Walmart & TikTok Data to Claude

Amazon just rewrote the rules of the product listing — and it happened almost overnight. In this eTail Boston conversation, Cameron Yoder sits down with Teikametrics founder and CEO Alasdair McLean-Foreman to unpack Amazon's July 27th mandate capping every product title at 75 characters and introducing a brand-new "item highlights" field. The real story isn't the character count — it's what it signals: Amazon is racing to power Alexa for shopping, where Andy Jassy revealed on the Q2 earnings call that consumers are already buying 40% more. Alasdair breaks down how brands can prepare for agentic commerce across Alexa, Walmart's Sparky, ChatGPT, and Gemini, why structured content is now table stakes, and how TikTok is pushing the boundaries of AI-generated content. If you sell online, this is the wake-up call on AI discovery you didn't know you needed.Key TakeawaysThe 75-character title change is a signal, not a formatting tweak. On July 27th Amazon capped every product title at 75 characters and added an "item highlights" field. Alasdair's point: this isn't cosmetic — it's Amazon restructuring listings to feed Alexa for shopping and agentic buyers.Agentic commerce is already moving volume. Andy Jassy said on Amazon's Q2 earnings call that consumers using Alexa for shopping are buying 40% more than other customers. That's not a future projection — it's happening now, and Q4 could see more agent-driven transactions than ever.Alexa for shopping is the North Star for the next 6–12 months. With Prime, mobile-app integration, and the sheer volume Amazon commands, Alexa is putting up the biggest numbers among AI discovery platforms — and mobile searches are already converting into Alexa-for-shopping searches.Structured content is now table stakes. To be found by an AI agent, you have to feed it structured content. Ads remain a closed-loop, pay-to-play channel that isn't going away — but brands that don't invest in content to feed the agent will get left behind.The AI discovery race has several horses. Alexa, Walmart's Sparky, ChatGPT, and Gemini are all in play. The open question every brand operator should be asking: which platform becomes the primary place shoppers discover new products?TikTok optimizes for content, not the product detail page. TikTok's growth is faster than any platform they've seen, and TikTok Shop is where content is king. The optimization lever isn't the PDP — it's the creator content itself, and increasingly the AI used to make and remix it.AI is moving from text to video and images. Beyond titles, bullets, and copy, tools like TikTok's Symphony Gen AI suite are generating better creator content — and even fully AI-generated content — while predicting what will resonate with a given audience.Chapters0:00 Introduction — Enterprise Brands at eTail Boston0:28 The 40% Stat: Alexa for Shopping Takes Off2:24 Inside Alasdair's Keynote2:41 Amazon's July 27th Title Change & Item Highlights2:56 Why This Is Really About Agentic Commerce4:33 How Brands Get Ready: Content Is the New Frontier5:00 The AI Discovery Race: Alexa, Sparky, ChatGPT, Gemini5:45 Where TikTok Fits In6:35 AI-Optimized Video, Images & TikTok Shop

What if your e-commerce data could talk directly to Claude? In this episode, Teikametrics CEO & Founder Alasdair McLean-Foreman breaks down the launch of the Teikametrics MCP — and why the team deliberately built it around proprietary optimization, content, and catalog data rather than simply mirroring what already lives in Amazon, Walmart, or TikTok. Alasdair explains where LLMs genuinely add value (stitching together siloed data from inventory, finance, and content systems) and where they don't (directly optimizing your ad levers — that's what a vertical AI orchestration layer is for). The beta launches at the end of July — listen in to learn how early users are already putting it to work, and how to become one of them.Key TakeawaysProprietary data is the point. Amazon's MCP already exposes Amazon's data. Teikametrics built its MCP around what only lives in its platform — optimization data, content recommendations, and catalog outputs — so customers unlock signals they can't get anywhere else.LLMs are for stitching, not steering. Alasdair is clear that customers shouldn't use Claude to directly optimize Amazon, Walmart, or TikTok ads — that requires a vertical AI orchestration layer, which is what the Teikametrics platform does. The MCP shines when combining Teikametrics data with inventory, finance, or content systems.The Ask Elephant example set the template. Teikametrics saw the power of MCP internally by piping sales-call transcriptions from Ask Elephant into Claude and stitching them with product data — and set out to replicate that experience for customers.Catalog review at scale is a killer use case. With Amazon's July 27 content title change requirement, brands can pull Teikametrics' AI catalog recommendations into Claude and check them against their own brand voice and IP guidelines — practical when reviewing 10,000 SKUs in a UI isn't.Customers will find the use cases. The beta is a deliberate "wide door": Teikametrics expects design partners to discover applications the team hasn't imagined, and those discoveries will feed back into the core product roadmap."We have AI" is a dead marketing message. At Cannes, generic AI banners have given way to companies showing howAI is actually being used — and MCP is a concrete example of functionality over hype.Read first, write carefully. V1 of the MCP surfaces data out of the platform. Read-write capabilities — letting Claude make changes inside Teikametrics — are on the roadmap, but will be rolled out cautiously with design partner feedback.0:00 — Introduction: Exposing proprietary data, not marketplace data0:49 — Dispatch from Cannes: Amazon's takeover, Walmart's CTV push, TikTok's creator economy3:03 — Why "we have AI" doesn't land anymore3:55 — Introducing the Teikametrics MCP4:51 — The Ask Elephant + Claude example that inspired the strategy6:15 — Use case: reviewing 10,000 SKUs of catalog content in Claude7:49 — What the MCP does (and doesn't) do in v19:20 — Why not just use Amazon's MCP? The orchestration layer argument11:33 — Beta launch, design partners, and what success looks like13:09 — Breaking down data silos: inventory, finance, and reporting14:40 — Timeline: end-of-July release and the read-write roadmap

The internet is about to be flooded with AI-generated content — so what actually breaks through? In this episode, Cam sits down with Ali Tatarzyn, Director of Product at Teikametrics, to unpack TikTok's AI creative suite: Symphony, the advertiser toolbox, and Seeance 2.0, ByteDance's own multimodal video model now powering it.They dig into whether AI will replace creators (short answer: it replaces low-differentiation content, not earned trust), why TikTok's real constraint is creative supply rather than ad inventory, and how the game shifts when content becomes nearly free to produce. Ali also shares a prototype TikTok creative brief generator he built with Claude — and the surprising lesson that AI output is only as good as the strategy behind the prompt. Listen in for a clear-eyed view of where brands win, and where they're about to drown in mediocre content.Key TakeawaysAI replaces content, not creators. Ali draws a sharp line between a creator — a person with trust, taste, distribution, and a community — and content as a disposable asset brands need to test. AI is excellent at the latter (hook variations, product demos, explainers, avatar content) but can't manufacture earned trust.The flood makes the best creators more valuable. As average-looking AI content floods every feed, the people who break through with humor, specificity, and real community become scarcer and more valuable — not less.TikTok's real constraint is creative supply, not ad inventory. Budgets and media plans don't matter if the creative is stale or doesn't feel native. TikTok rewards freshness, volume, and cultural fit, and creative fatigue hits fast — which is exactly why TikTok is building AI tools to lower the cost of producing native content.The shift is from "help me think of an ad" to "help me make 20 of them." A year ago AI gave you hooks and scripts upstream; you still had to shoot and edit. Now Symphony and Seedance generate finished, ready-to-run assets — turning one product image or existing video into 5, 10, or 20 short-form variations.Teikametrics' lane is intelligence and measurement, not video generation. Ali is explicit that competing as another video model is a losing, commoditizing battle. The opportunity is telling brands which products to push and which hooks to test (upstream), then measuring whether content drove TikTok Shop GMV, branded search lift on Amazon, or real SKU movement (downstream).Cheaper content makes measurement harder, not easier — that's where Halo comes in. When brands jump from testing 5 videos to 50, views aren't enough. TikTok Halo is the measurement layer that answers what each piece of creative actually did for the business and what to make more of.A bad strategy executed perfectly is still a bad strategy. Ali built his brief generator first — not a video tool — because the brief is where the thinking happens. Generate 100 videos from a weak brief and you've just made 100 bad videos faster. Quality jumped most when he treated the prompt like a real product strategy, not a simple command.0:00 — Cold Open: Volume vs. Quality0:35 — What Are TikTok Symphony and Seedance 2.0?1:37 — Will AI Replace Creators?3:13 — Why Trust Is the Thing AI Can't Fake5:00 — TikTok's Real Constraint: Creative Supply6:43 — How Symphony Lowers the Cost of Native Content8:15 — From Creative Ideas to Finished AI Assets10:53 — The Opportunity for Teikametrics13:16 — What This Means for TikTok Halo14:41 — Building a Creative Brief Generator with Claude17:05 — Why Start With the Brief, Not the Video19:10 — What Brands Should Watch Out For19:53 — Closing Thoughts

Prime Day is bigger than ever — but is it still a must-win moment, or just another peak in an always-on promotional calendar? In this episode of Human in the Loop, Teikametrics Premium Services analyst William Fleisher breaks down how Prime Day has evolved into a multi-day, omnichannel event spanning Amazon, Walmart, and beyond. He explains why the brands that win treat Prime Day as a window rather than a date, how to use DSP and streaming TV across the lead-in and lead-out, and what success actually looks like in 2026. Whether you're a seller weighing your budget or a shopper wondering if the deals are real, this conversation cuts through the noise with practical strategy. New episode is live just in time for Prime Day.Chapters:0:00 — Introduction — Will's content debut0:21 — Is Prime Day still a must-win moment?1:52 — Prime Day as an omnichannel event3:04 — Are the deals actually the best of the year?4:32 — What deals look like this year, brand by brand5:46 — What does success look like for Prime Day 2026?7:00 — The biggest mistake brands make8:24 — How to leverage DSP for Prime Day9:56 — Streaming TV and other ad types11:17 — What's surprised Will most this year13:19 — The future of Prime Day: 2027 and beyond15:12 — Wrap-upKey TakeawaysPrime Day is still a must-win — even in an always-on world. The promotional calendar is more crowded than it used to be, but with record sales last year, treating Prime Day as "just another peak" is the wrong framing. It remains a major launching pad if you commit to it.It's an omnichannel event now, not just an Amazon one. With Walmart and Target running simultaneous deals, consumers no longer assume Amazon has the best price. The brands getting the most out of the event are running a concerted strategy across retailers — not just checking a box.The deals are still real — they just look different. Headline price cuts on big-ticket electronics may be smaller than years past, but discounts have spread to everyday consumables, where a few dollars off can be a large percentage. You sometimes have to dig a little more.Success is measured over a window, not a silo. With a longer event and an omnichannel footprint, sophisticated brands track Prime Day performance across the full lead-in and lead-out period — and manage budget carefully so it lasts all four days, including the final-day spike.The biggest mistake is focusing only on the event days. Doing the work early compounds results. Sponsored Brands, Sponsored Display, and DSP in the lead-in set you up for success, and many of those same tactics pay off in the lead-out.DSP shines in the lead-in and lead-out. Use it beforehand to build awareness and stay top-of-mind, so your lower-funnel Sponsored Products convert better on the day. Afterward, retarget recent purchasers or shoppers who viewed your PDP but didn't buy — at a cheaper cost than during peak Prime Day competition.Streaming TV is intriguing — but earn it first. It's a newer tactic now open to more brands, but only worth it once your fundamentals are in place: strong creative, good inventory, solid reviews, and a page that converts. If you're already running Sponsored Products and Brands well, those boxes are likely checked.Prime Day isn't slowing down. Expect events to keep growing and expanding from big-ticket items to every product category, with content distribution across platforms like TikTok adding even more ways to drive demand.

Amazon just dropped a bombshell on sellers: product titles are being capped at 75 characters (down from the 200–250 most brands rely on) with a new comma-separated "Item Highlights" field absorbing the extra details. In this episode, Ryan Goldstein unpacks what's actually changing, why Amazon is doing it (think mobile-first design, AI-driven discovery, and structured data that's easier for LLMs to query), and what it means for the title real estate sellers have spent years optimizing. The catch: the deadline is July 27, and if you don't make the changes yourself, Amazon will make them for you. Listen for a practical game plan on how to prepare without disrupting your listings right before Prime Day.Chapters:0:00 — Introduction: An Amazon title bombshell1:02 — What exactly is Amazon changing?1:58 — The July 27 deadline (and what happens if you do nothing)2:20 — Why Amazon is making this change: mobile, AI & structured data5:30 — What it means for sellers and brands7:49 — How to prepare: previewing and planning your changes8:55 — Doing it at scale with Teikametrics Catalog & Smart Pages10:12 — Timing it right: why Prime Day changes the playbook12:14 — Wrap-up and what's nextKey TakeawaysTitles are being cut to 75 characters — but you don't lose the detail. Amazon is splitting your old title into two parts: a short, scannable title and a new "Item Highlights" field that adds roughly 125 characters for use cases and product specifics.Item Highlights must be structured, comma-separated data. Amazon is explicit that highlights can't be one long string — they have to be comma-separated, which turns your listing into structured data that's far easier for Amazon to query and surface.This is really about mobile and AI discovery. Shorter titles create a cleaner mobile interface where Amazon sees shopping trending, and the structured highlights feed AI models that increasingly power product discovery.The July 27 deadline is a hard line in the sand. Amazon won't shut off your listing if you do nothing — but it will rewrite your title and highlights for you, and the auto-generated version often gets the order and emphasis wrong.Your title is prime real estate you don't want to hand over. Title and main image are the two things that earn the click. With only 75 characters, brands face new decisions — like whether a well-known brand name even belongs in the title anymore.You can preview the changes right now. Sellers can already see Amazon's proposed title and highlights in the console before the change takes effect — a smart first step to spot where the auto-suggestions miss.Don't make big listing changes heading into Prime Day. With Prime Day next week, the advice is to build your plan now but hold major title edits until July, so you don't disrupt indexing during one of the biggest e-commerce events of the year.

What if the biggest advantage in e-commerce isn't two-day shipping or the lowest price — it's a door that only one company can open? In this episode, Cameron and Alasdair dig into why Walmart may be sitting on a moat that not even Amazon can replicate: the ability to take a third-party marketplace seller and put their product on physical store shelves. They unpack Walmart's standout earnings — 26% e-commerce growth, nearly 50% marketplace growth, and 44% Walmart Connect growth excluding Vizio — and what those numbers reveal about a shifting shopper base. The conversation covers the Vizio acquisition as Walmart's answer to Amazon Fire TV, the slow death of the "Walmart shopper" stereotype, and why brands investing in Walmart now are planting seeds for an omnichannel payoff that's still being built. If you sell on marketplaces or are weighing Walmart, this one reframes where the real opportunity sits.Chapters0:00 — The Moat No One Can Touch0:53 — Where Brands Really Stand on Walmart Today2:28 — The Shopper Mix Is Shifting4:07 — Is Two-Day Shipping Still Amazon's Moat?5:28 — Marketplace Meets Physical Retail6:56 — The Watershed Moment for Brands8:15 — Why Onboarding Selection Comes First9:38 — Planting Seeds: Investing in Walmart Now10:56 — Omnichannel and the Full Circle to Offline11:38 — Vizio and Walmart's Play for the Home13:36 — The Game-Changer: Marketplace + ShelfKey TakeawaysThe untouchable moat is marketplace-to-shelf. If Walmart can onboard a third-party seller online and then route the right brands into physical stores, no competitor — not Amazon, not TikTok — can match it, because Walmart is the only U.S. platform with that physical retail footprint.The "Walmart shopper" objection is fading. Some brands are still anti-Walmart, but the hosts compare it to how nearly every brand felt about Amazon ~15 years ago, when Amazon mostly sold books and even had a Target tab. Sentiment shifts as the platform matures.Walmart Connect is the leading indicator. Advertising growth of 44% (excluding Vizio) signals the shopper mix is changing — because ad spend is tied to brands selling reach and opportunity, it's the clearest proxy for Walmart's e-commerce buyers evolving.Price is already pulling shoppers across. Two-day shipping built Amazon's moat, but the hosts question how sticky it really is — Cameron bought a trash can on Walmart simply because it was meaningfully cheaper. Selection plus advertising starts the flywheel Amazon ran 20 years ago.Vizio is Walmart's Fire TV play. The multi-billion-dollar acquisition puts Walmart on premium connected devices in millions of homes, closing the loop on smart TVs and opening a content angle (e.g., the Paramount partnership) — the first innings of becoming the digital platform in the home.The hard part is the foundation, not the vision. Walmart is still in early innings of getting huge, legitimate selection onto marketplace smoothly — accurate listings, real brands, no bad actors, reliable delivery — before it can credibly promise winners a path to the shelf.Brands should plant seeds now. Investing in Walmart today readies you on the platform for when the marketplace-to-retail bridge is fully built. It's an omnichannel bet — physical, digital, multi-touchpoint — and an underrated reason to be there early.

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 — Introduction0:51 — How Brand Operators Learn Today1:36 — The Events Landscape: What's Changed2:26 — Teikametrics Micro-Events4:22 — Masterminds vs. Large Conferences6:38 — AI FOMO and the Need to Connect7:38 — TikTok Partner Awards NYC8:25 — TikTok Symphony API & C-dance 2.010:27 — The Irony of AI Dominating In-Person Events11:53 — Why In-Person Filters for Quality12:47 — How to Approach Your Event Strategy14:34 — Don't Chase Marquee Events16:09 — Find the Right Crowd Anywhere16:53 — Final Advice: Have Fun17:07 — Wrap-UpKey TakeawaysIn-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.

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.Chapters00:00  Cold open00:42  Amazon axes the Rufus name01:45  Why fold Rufus into Alexa?04:16  The Alexa Plus push and unlocking voice purchasing05:09  Alexa vs. ChatGPT voice — the capability gap06:40  Inside Amazon's official announcement07:13  Is Alexa biased? Best result for you vs. best for Amazon10:39  Prime shipping moat vs. price-driven LLM picks12:06  ChatGPT ads and using LLMs for real product research14:19  Will Amazon ever unblock the LLMs? The TikTok parallel15:42  The $50B ad revenue problem17:34  Amazon's hedging strategy and the rumored Alexa phone19:42  Where do consumers shop first — Amazon or LLMs?21:13  Why Prime's moat still holds22:14  The discovery spectrum: TikTok, LLMs, and agentic commerce23:43  Homework: shopping experiments for next episodeKey TakeawaysRufus 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.

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 TakeawaysCompetition 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 Competition00:46 The Biggest Problem Sellers Face on Amazon & Walmart Today01:32 What Is Market IQ?02:00 Why Page One Is the Real Battleground02:18 How Market IQ Works03:24 Why 89% of Clicks & Sales Happen on Page One03:51 What Sets Market IQ Apart05:07 The Three Types of Competitors05:47 Market IQ + the Teikametrics Platform07:00 Who Market IQ Is Built For07:51 What's Next: In-App Action Workflows08:41 Why Plugging In Early Matters09:08 How to Get AccessJoin 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.

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 TakeawaysTikTok 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.Chapters00:00 — 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