Kait Stephens

They present verified retail and marketplace purchases as a way to give those platforms a fuller picture. Brij Signal is intended to address this problem.

In one post, Stephens quotes a brand saying, “We finally know who our customers are.

• I’m just not sure Meta does.”
• They explain that customers who buy at Target, Walmart, Ulta, or Amazon may be missing from ad platforms’ view, affecting targeting, suppression, and retargeting.
• In another post, they cite a registered UPPAbaby stroller warranty as an example of purchase information brands could use beyond customer service.

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They argue the approaches complement each other: server-side tracking can strengthen owned-channel signals, while retail and marketplace purchase data addresses a different gap.

Stephens describes a shopper who discovers a product on Instagram, buys it at Target, and never visits the brand’s website.

• Server-side tracking alone would not capture that store purchase.
• They say brands need both stronger signals from owned channels and information about purchases outside them.

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They view convenience and fulfillment as part of an omnichannel experience, but ask what brands learn about customers when transactions happen on someone else’s platform.

Stephens contrasts Sephora’s beauty products, which they describe as visual and discovery-driven, with Best Buy’s TikTok Shop range of nearly 10,000 products, including laptops and appliances.

• TikTok can drive discovery and checkout while Best Buy handles fulfillment and eligible in-store returns, they note.
• They then raise questions about who owns the customer relationship and what purchase data brands receive.

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That can make the resulting retail sale hard for the brand’s advertising platforms or CRM to see. In their Shoptalk recap, they connect this problem to the need to create demand and measure where it is ultimately captured.

Stephens reports that Christopher Pond of BRUNT Workwear described the company’s wholesale launch as “opening a valve” on demand already built through social and Meta. They also recount Michelle Crossan-Matos of SharkNinja saying that consumers choose where to shop.

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They focus on the quality of signals used for paid media, measuring revenue that attribution may miss, and turning newly acquired holiday shoppers into repeat customers.

One post cites the claim that 48% of a brand’s annual new customers can arrive during BFCM, then previews discussion of paid-media signal, TikTok advertising, measurement of halo effects, customer lifetime value, and retention. A second post summarizes the same broad lifecycle as better signal, better measurement, and better retention.

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Stephens walks through Best Buy listing nearly 10,000 products on TikTok Shop, from headphones and cameras to laptops, appliances, and Oura Rings, then contrasts that with Sephora's beauty drops, where products are visual, discovery-driven, and easy to buy on impulse.

• The second half does the real work: TikTok drives discovery and checkout, Best Buy handles fulfillment, and eligible orders can be returned at a Best Buy store.
• They argue this is a more interesting definition of omnichannel than simply being everywhere, then raise the harder question: when the sale happens inside someone else's platform, who owns the customer relationship, and what data and signals does the brand actually get?

For brands planning a campaign

Useful when a client is deciding whether social commerce suits a higher-consideration product, and as a checklist of ownership and data questions to settle before committing to a platform checkout.

Stephens's takeaway is that discovery, consideration, and purchase now happen in a single scroll, whether that is a TikTok Shop video, an AI shopping agent, or an Amazon listing.

• The clearest example comes from Christopher Pond of BRUNT Workwear, who built demand on social and Meta before launching wholesale and described the result as opening a valve, with retail simply capturing demand that already existed.
• Michelle Crossan-Matos of SharkNinja makes a related point: the consumer decides where to shop, so the job is creating demand that gets captured there.
• Stephens also records smaller observations, including that brand marketing matters more than ever, that people trust people on Reddit, that Depop uses AI to talk to customers constantly, and that SharkNinja will not launch a product rated below 4.5.

For brands planning a campaign

A compact briefing for clients running paid social alongside retail or wholesale distribution, with realistic agenda items for a demand-capture conversation.

Stephens opens with a line from a brand: "We finally know who our customers are.

• I'm just not sure Meta does."
• The brand sells through DTC, Amazon, and major retailers.
• Because ad platforms mainly see DTC conversions, their algorithms learn from only a slice of the real customer base.
• They list the consequences: lookalikes modeled on a fraction of customers, algorithms that never learn what retail buyers look like, and acquisition spend aimed at people who already bought the product somewhere else.
• The job, in this telling, has shifted from building audiences to training the algorithm, which is only as smart as the signals it gets.
• They note that Brij Signal was built to send verified retail and marketplace purchases back to Meta, Google, and TikTok as conversion signal.

For brands planning a campaign

A ready-made basis for a measurement audit with a client that sells through retailers; the post lists questions worth asking about what ad platforms can and cannot see.

Stephens challenges the assumption that implementing server-side tracking solves measurement.

• They write that it improves the quality of signals from properties the brand owns, but does not cover the shopper who discovers the brand on Instagram, buys at Target, and never visits the website.
• They put that gap at roughly 80% of sales and argue that the best-performing brands do both: use server-side tracking to strengthen owned-channel data, and retail and marketplace purchase signal to identify store buyers, create first-party relationships, and send verified purchases back into the marketing stack.

For brands planning a campaign

A short, quotable argument for adding retail and marketplace conversion feeds to a client's existing server-side setup, rather than treating server-side tracking as the finished job.

Stephens cites the figure that 48% of a brand's annual new customers can arrive during BFCM and frames the opportunity as making each acquired customer worth more, not just selling more. The post previews a September 28 session with people from Skullcandy, AeroPress, SteelSeries, HexClad, Power Digital, Fospha, and Postscript, organized around four themes: how better customer signal makes paid media more efficient; TikTok ad strategies for peak season; measuring the halo effect an attribution model may be missing; and the retention playbooks brands are actually running to turn holiday buyers into repeat customers.

For brands planning a campaign

Useful as a Q4 planning agenda and a short list of brands and specialists active in the space if a client wants comparable case material.

Stephens describes spending an unreasonable amount of time thinking about the future of retail: AI agents, retail media, performance marketing, TikTok Shop, Amazon, attribution, the death and possible rebirth of DTC, and how brands actually know who their customers are.

• That led to Omnichannel Unlocked, a weekly Sunday newsletter for people working in ecommerce, retail, growth, or marketing.
• Recent topics include why Gen Z does not trust your brand, why MMM and MTA tools are starving for deterministic data, why DTC 3.0 is about knowing your customer everywhere, and TikTok as a demand generator versus a commerce platform.
• They say readers include people from Target, Mondelēz, PacSun, and PetSmart.

For brands planning a campaign

The archive is a practical source of client-ready points of view on specific commerce questions, and its topic list maps themes worth pitching around.

Malik describes the wall marketers hit when allocating large budgets without campaign-level visibility: he spent five million dollars on TikTok in a quarter, knew it returned ten million, and still could not say which campaigns worked.

• Stephens traces their career from leading Amazon expansion as VP of Global Growth Marketing at Estée Lauder to VP of Digital Commerce at SharkNinja, then explains joining the Brij advisory board as the company develops its ad-platform product, Signal.
• Malik calls last-click attribution unfit for business decisions and says the fix is a centralized conversion repository or consumers sharing data back.

For brands planning a campaign

A concrete, credible articulation of the campaign-level attribution gap growth leaders describe, useful for internal education or framing a pitch to a client in the same position.

Stephens describes an UPPAbaby stroller that survived four years of New York City subways and sidewalks before a wheel popped off on the way to school.

• A replacement arrived within days because they had registered the warranty.
• The point: warranty registration verifies who actually bought the product, yet most brands leave that information with customer service.
• Stephens argues that this signal should flow back to Meta, Google, and TikTok so those platforms learn from real buyers, not only from customers who happened to buy direct.

For brands planning a campaign

A plain-language example for explaining first-party purchase data and its uses to a non-technical client.

The proposed fix is Brij Signal, which turns verified retail and marketplace purchases into conversion signal that can be sent back to those platforms, improving suppression, retargeting, and lookalike audiences built on real buyers rather than models of a fraction of them.

The argument usually opens with a concrete case: a brand saying, "We finally know who our customers are.

• I'm just not sure Meta does," or a story about registering a stroller warranty and later using that registration as proof of who bought the product.
• The mechanics and product name follow.

The UPPAbaby stroller post is the only item in the set rooted in a personal family purchase rather than a brand or industry example; the product recommendation follows the anecdote.

For brands planning a campaign

For agencies working on measurement or paid-media pitches, the clearest angle is to frame the audit around how much of a client's customer base is visible to ad platforms, then position retail and marketplace purchase data as the missing input.

Examples: Source 1 · Source 2 · Source 3 · Source 4

It concedes that server-side tracking improves the quality of signals from owned digital properties, then points out that it still cannot identify customers who bought in a store or on a marketplace. The recommended approach is to use both: server-side tracking for owned channels and retail and marketplace purchase signal to cover the rest.

Names the misconception as a quoted belief, corrects it step by step, and ends with a short statement of what better signal looks like.

For brands planning a campaign

Useful as a ready-made counterargument when a client treats server-side tracking as the end of a measurement project: it gives the agency a reason to keep a second data question open.

Examples: Source 1

The comparison is with Sephora, where beauty fits intuitively because it is visual, discovery-driven, and already embedded in creator culture.

• Higher-consideration electronics and appliances involve more research, comparison, and longer purchase cycles.
• Kait Stephens argues that the boundary of what people will buy inside a feed is expanding quickly.
• The post also raises what happens after the sale: TikTok can find the customer and close the transaction without that person ever visiting the brand's site, leaving customer data, ownership of the relationship, and the signals a brand actually receives as live questions.

A named launch provides the hook, an intuitive category offers a contrast, and the post turns the observation into open questions for the audience rather than a settled answer.

The post closes by asking which category comes next, leaving the prediction open-ended.

For brands planning a campaign

For an agency assessing TikTok Shop, this is the most directly usable category-readiness material in the set: it offers a defensible argument for testing considered-purchase categories, plus data-ownership questions to raise before committing.

Examples: Source 1

Christopher Pond of BRUNT Workwear describes wholesale launch as opening a valve on demand already built on social and Meta; Michelle Crossan-Matos of SharkNinja speaks to consumers choosing the channel. The stated consequence: demand built by the brand shows up as a retail sale that ad platforms and the CRM never see.

An event recap built around a headline takeaway, one extended example, a supporting voice, and a short bulleted list of further observations; it closes with the product tie-in and an audience question.

For brands planning a campaign

Offers a compact, quotable framing for why brand-building spend can look inefficient in attribution reports, and names the demand-capture logic to ask about when a client's growth is concentrated in retail channels.

Examples: Source 1

The opportunity, then, is to make each acquired customer worth more rather than simply to sell more. The posts promote a tactical webinar with speakers from Skullcandy, AeroPress, SteelSeries, HexClad, Power Digital, Fospha, and Postscript, organized around three stages: better signal for paid media efficiency, better measurement of what is actually driving revenue, and better retention of holiday buyers.

A statistic-led opening, followed by a named speaker list and an agenda in numbered points. The post ends with a registration call to action and offers a recording and checklist to those who cannot attend live.

These are event promotions, not standalone analysis; the substantive content comes from the named speakers.

For brands planning a campaign

Evidence that Kait Stephens produces co-marketing webinars and can convene named partners across retail and performance marketing. Useful if the agency wants a partner experienced in running joint peak-season sessions; the posts themselves are promotional signposts.

Examples: Source 1 · Source 2

Recurring subjects include AI shopping agents, the signal era, TikTok Shop, retail media, the blurring line between DTC and retail, MMM, and why brands are going offline to win online. The operator-focused framing asks less what happened and more what brands should do about it.

One topic per issue, explicitly contrasted with 47-page trend reports. Includes subscribe and archive links and closes with an audience question.

The post describes its reader base as people from Target, Nike, Levi's, and similar companies. Ask for audience-composition data before relying on that claim in a pitch.

For brands planning a campaign

This is a durable owned channel where a brand could appear, with more value than a single LinkedIn post if the agency wants repeated placement with a commerce-operator audience. Check the audience composition directly before relying on it in a pitch.

Examples: Source 1 · Source 2

Malik describes the challenge of allocating large media budgets without campaign-level visibility: knowing the top-line return but not which campaigns produced it. Stephens cites Malik's view that last-click attribution is not a sound basis for business decisions and that the fix requires a centralized conversion repository or consumers sharing data back, then explains why Malik joined Brij's advisory board.

Practitioner profile with direct quotations, moving from the operator's problem to the product's stated purpose, then to how the relationship changes positioning and roadmap priorities.

For brands planning a campaign

Shows a documented route into Brij's product thinking through named operators in beauty, durables, and paid media. For an agency, this offers context on how the product is positioned; the relationship is described as an advisory seat rather than a paid campaign.

Examples: Source 1

They write in the first person plural about the company and product (“we built Brij Signal,” “the problem we're solving at Brij”) and reference an Advisory Board that includes a paid-media operator from SharkNinja. The posts establish a work relationship but don’t say whether they founded or own the company; ask them to clarify their role and ownership.

View example

They use the episode to argue that warranty registration is verified proof of purchase that should flow back into Meta, Google, and TikTok. The post presents a customer experience but doesn’t disclose sponsorship, discount, or partnership; ask whether any applied.

View example

Their posts describe creator content feeding Meta ads, TikTok discovery leading to Amazon, DTC, and retail purchases, and platforms each claiming credit for the same sale. That overlaps with Stephens's focus on where demand is created and where it is captured.

Wright focuses on attribution and customer identity in email and SMS infrastructure, including a paid Postscript partnership. Stephens examines the same problem through retail and marketplace purchase signals sent to Meta, Google, and TikTok.

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Stephens covers similar ground, examining how discovery, conversion, and measurement are changing together on TikTok Shop.

Leffingwell's consulting-oriented posts include open planning calls. Stephens links the same TikTok Shop shift to Brij Signal and the question of how retail purchase data reaches advertising platforms.

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The overlap with Stephens is omnichannel and marketplace change, particularly where digital growth outpaces stores and customer relationships shift to platforms.

Brett's examples draw on retail sales datasets and Amazon grocery behavior, with recommendations for CPG executives and Pattern's services. Stephens focuses on advertising signal, social commerce, and what ad platforms learn about buyers.

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The posts make the case: creator content generated on TikTok Shop feeds a brand’s Meta ads; audiences that discover a brand on TikTok then look for it on Amazon, DTC, and in retail; and that momentum gets a brand into conversations with Walmart, Target, Boots, or Superdrug.

• A second post offers a concrete tool-testing angle for agencies advising clients on vendors: one customer profile shared across channels, the case of a customer who signed up under three emails and was billed three times, and attribution models with the buyer’s own lookback windows.
• That suits a session focused on channel expansion and stack decisions, not just the opportunity itself.

The tradeoff is depth on what happens to customer data after a sale completes inside someone else’s platform.

• Ashley Wright’s posts cover cross-channel scaling and attribution tooling; Kait Stephens’ go further into customer ownership, the retail and marketplace blind spot, and why server-side tracking alone does not close it.
• The tooling post is also a disclosed paid partnership with Postscript, so the agency should surface that commercial interest rather than repeat its recommendation as neutral advice.
• For a session on signal quality and who owns the buyer, their posts offer more to work with.

Examples: Source 1 · Source 2

The posts build the business case directly: there is no auction dynamic like Meta and no keyword intent curve like Google; a creator-driven sale can be traced to the content and SKU that produced it; and the constraint shifts from how much a brand can spend before acquisition costs break to how many creators it can activate before operations become the limit.

• The framing—that the real question is not whether TikTok Shop works but whether waiting helps—is a ready-made opening for a client workshop.
• The posts also offer free planning calls as a next step.

The tradeoff is recency and purpose.

• These posts are dated December 2025, while Kait Stephens’ run from August to October 2026 and include later examples: Best Buy’s roughly 10,000-product launch on TikTok Shop, Sephora’s beauty drops, and the Shoptalk Nashville accounts from BRUNT Workwear and SharkNinja.
• Amy Leffingwell’s material is written for founders deciding whether to commit, so it argues the opportunity rather than equipping an agency with post-sale questions about customer ownership and retail signal.
• Use Amy Leffingwell to win the decision to enter; turn to Kait Stephens for what to do once sales are happening in channels the brand does not own.

Examples: Source 1 · Source 2

The posts draw on public retailer filings and NielsenIQ data: 85% of tracked U.S. retailers reported positive comparable sales in Q1 2026, with median comparable sales growth of 2.9% against median digital growth of 12.5% across the 22 companies reporting it; Amazon perishables shoppers spent $5,121 a year and shopped Amazon 105 times, against $3,771 and 76 times for the average Amazon shopper.

• The recommended next steps are to separate retailer growth from digital growth, follow the growth with people and media, and treat Amazon grocery as a frequency and data play.
• For an agency selling retail media, Amazon execution, or shelf-and-marketplace work to CPG clients, that evidence can open a budget conversation.

The tradeoff is subject.

• None of the posts addresses TikTok Shop, creator-driven demand, or the collapsing funnel described in Kait Stephens’ posts.
• They also carry a commercial recommendation attached to Pattern’s services, so the agency should treat them as a vendor argument as well as a data argument.
• That makes them a strong basis for a retail media or Amazon pitch, but a weak substitute for a briefing on social commerce and customer signal.
• For an agency session focused on TikTok Shop and what happens after the sale, Kait Stephens’ posts match the task more directly.

Examples: Source 1 · Source 2