Bret Starr writes about B2B marketing and tests how AI, changing buyer journeys, and new marketing channels affect demand generation. Starr's work includes newsletters, client campaign experiments, and tools for sales and marketing teams.
The B2B funnel is a 19th-century model, not a law of buying.
ChatGPT campaigns generated strong impressions but weak conversions; sponsored-agent tests were still to come.
AI search is already breaking the traffic assumptions that marketing plans rely on.
Check first: Confirm audience roles and seniority, plus any paid partnership formats, rates, and inquiry route.
Main ideas
The B2B funnel is a 19th-century model, not a law of buying · Individual buyer journeys are chaotic, but aggregate patterns are not · AI search is already breaking the traffic assumptions that marketing plans rely on
Bret Starr writes about how AI and less predictable buyer journeys are changing B2B marketing.
In a newsletter series drawn from a book in progress, they argue that marketers should stop treating buyers as if they follow one linear funnel and instead consider the demand states they move through.
They also share early results from ChatGPT advertising tests and publish B2B and AI marketing newsletters.
Starr pairs challenges to conventional B2B marketing with examples readers can scrutinize.
In one post, a developing buyer-journey framework reframes “closed lost” as a consequence of a linear model, not necessarily the end of a buyer’s journey.
In another, they report that ChatGPT campaigns generated strong impressions but weak conversions, while sponsored-agent tests were still to come.
A separate post promotes Creatio while sharply criticizing HubSpot’s “Loop Marketing”; treat it as product advocacy, not a neutral comparison.
They also invite users to test a sales-and-marketing battle-card tool, showing a practical, feedback-seeking side alongside the commentary.
B2B demand-generation marketers can follow them for emerging frameworks, reported experiments, and opinionated takes—not as proof that a new channel or product works.
Bret Starr's recurring argument is that B2B demand generation still runs on a linear funnel built for a world that no longer exists, and that AI-driven search and buying behavior are making the mismatch obvious.
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Across seven LinkedIn posts published in 2025 and 2026, they develop a chaotic-buyer-journey framework, test AI advertising channels and report weak results, forecast AI marketing budget lines, and publish two newsletters while shipping free sales tools.
The B2B funnel is a 19th-century model, not a law of buying
Bret Starr traces the linear funnel and AIDA to door-to-door sales scripts from 1898 and argues the modern version arose by accident: SaaS data architecture, Taylorist management thinking, and a preference for tidy dashboards forced buyer behavior into shapes the systems could handle.
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When conversion rates fall, more performance optimization can miss the problem: the model, not the execution, may need to change.
In a post introducing the newsletter series "The Cage Door Is Open," Bret Starr describes 25 years of watching B2B marketing run on that model and says the series draws on a book in progress about chaotic customer journeys.
Individual buyer journeys are chaotic, but aggregate patterns are not
This is the mechanism behind the critique: individual paths are unpredictable, yet the moments most buyers pass through are stable.
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The work is to identify those moments instead of enforcing a fixed sequence. The proposed replacement for the funnel is a model defined by ten demand states, which Bret Starr says reframes labels such as "closed lost" as artifacts of a single-threaded, linear system.
Part 2 of the newsletter series introduces chaos theory for marketers and argues that the sequence of a buyer's journey cannot be controlled, while marketers can serve the moments most buyers pass through even when they arrive out of order. The post's sharpest line is "There's no such thing as 'closed lost.'"
The argument moves from a historical diagnosis of why the funnel was adopted to a proposed operating model of ten demand states across the same newsletter series.
AI search is already breaking the traffic assumptions that marketing plans rely on
Bret Starr argues that organic web traffic and paid ad clicks are declining and that AI summaries produce no-click searches, shrinking the channels inbound and paid plans were built on.
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Their position is not that AI search should be resisted, but that its effects have already arrived and testing has to start now.
A newsletter issue recaps HubSpot's INBOUND 2025 admission that the old funnel isn't flowing, then argues that AI-native platforms are the credible replacement. The issue is sponsored by and promotes Creatio, so treat its claims about HubSpot and Creatio as sponsored rather than independent analysis.
Test AI ad channels, then report the weak results publicly
Bret Starr describes running ChatGPT campaigns for a baker's dozen of clients over a couple of months, finding them strong on impressions but poor on conversion, then starting tests of OpenAI's sponsored agents.
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The post also questions what paid AI programs can offer that a good answer-engine optimization program cannot, without undermining search credibility, and concludes that traditional search engine marketing is dead.
The post states the client testing period, the split result by impressions versus conversion, and the next test planned for the following week, but gives no client names or conversion figures. Ask for the figures before assessing performance.
Metrics follow the money: AI marketing budget lines are coming in 2027
Bret Starr predicts that 2027 will be the first year B2B marketing budgets carry named line items for AI marketing, reasoning that measurement follows budget allocation.
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The post points readers to tips on preparing to measure AI marketing initiatives; ask for the measurement model.
A short post makes the 2027 budget prediction, with the line "metrics follow the money" and a pointer to separate measurement guidance.
Fixed publishing cadences and free tools are how the ideas reach people
Bret Starr's output model combines owned publishing with useful free products.
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Two newsletters have assigned days: AI Marketing Weekly lands on Tuesdays, B2B Marketing Weekly on Thursdays, and readers are invited to suggest topics.
The Starr Conspiracy also released a free Battle Card Builder that takes three competitors and returns a competitive intelligence report for each.
The tool launch openly invites negative as well as positive feedback, in contrast with the unhedged vendor advocacy in the sponsored newsletter issue.
The tool is described as built for sales and marketing people in B2B tech companies and also useful for product and customer success teams, with a public request for feedback on which parts are valuable and which "suck."
Answers a newcomer’s first question — what does this person actually argue? — in their own words, and names the framework they are developing.
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Bret Starr says they have spent 25 years watching B2B marketing run on a model invented for door-to-door salesmen in 1898: AIDA, or the funnel.
The post introduces a newsletter series, "The Cage Door Is Open," drawn from a book they say they are writing about chaotic customer journeys.
Part 1 argues that SaaS architecture, Taylorist management thinking, and a preference for tidy dashboards pushed buyer behavior into schemas the systems could handle.
Part 2 borrows chaos theory to claim that individual buyer journeys are unpredictable while aggregate patterns are not.
Part 3, promised next, replaces linear acquisition with ten "demand states."
The sharpest line: "There's no such thing as 'closed lost.'"
For brands planning a campaign
This is the clearest statement of the argument a keynote or advisory engagement would be built around, making it the right sample for a client deciding whether the thesis fits their demand-generation problem.
Demonstrates the voice and format at full volume, and shows how they translate the "funnel is dead" argument into sponsored work.
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A newsletter issue that opens with a blunt vendor pitch for Creatio and spends most of its length attacking HubSpot.
It recaps HubSpot's INBOUND 2025 admission that the inbound funnel is broken, ridicules the company's new "Loop Marketing" model by relabeling its four stages as make a style guide, personalize stuff again, spray content everywhere, and do reporting, then lists Creatio's AI-native CRM capabilities, including campaign generation, lead scoring, and no-code agents.
The piece promotes Creatio rather than offering a neutral comparison, and its tone is deliberately combative.
For brands planning a campaign
Shows a willingness to write vendor-backed opinion pieces in a strong house voice, useful when a brand wants advocacy rather than a balanced review. The format can read as a pitch, so brief it deliberately.
Shows how they frame new channels: testing claims, naming caveats, and saying plainly when a channel is underperforming.
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Bret Starr says they have been running ChatGPT campaigns for "a baker's dozen of clients" over the previous couple of months, with strong results on impressions but poor conversion.
Tests of OpenAI's sponsored agents were starting the following week.
The post also asks what paid programs on AI platforms can offer that a good answer-engine optimization program cannot, and concludes that traditional search engine marketing is dead.
For brands planning a campaign
A concrete, first-hand account of an early AI ad channel rather than a prediction, which is the kind of evidence a client weighing "should we test this now or wait" would want to hear presented.
The fastest way to see the practical side of the business beyond commentary, in a format readers can try.
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Announces a free product released by The Starr Conspiracy | TSC.
Users enter three competitors and get a competitive intelligence report for each.
Bret Starr describes it as built for sales and marketing people in B2B tech companies, notes that it is also useful for product and customer success teams, and openly asks people to post negative as well as positive feedback.
For brands planning a campaign
Shows the firm shipping free tools as a marketing asset, suggesting a working session or co-marketing arrangement could include something hands-on, not just talks.
Shows a forward-looking, budget-level view in a few lines, useful for readers who want the forecast without the long argument.
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A brief post predicts that 2027 will be the first year B2B marketing budgets carry named line items for AI marketing, with the line "metrics follow the money," and points to separate tips on measuring AI marketing initiatives. Ask for those tips if you need the measurement guidance.
For brands planning a campaign
A compact, quotable position on where marketing budgets are heading, suitable for opening a talk or framing a budget conversation. Ask for the measurement detail if that matters to the decision.
Bret Starr argues that the traditional inbound funnel and AIDA are outdated, especially as AI summaries and no-click search reduce organic and paid traffic.
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One post criticizes HubSpot’s 2025 Loop Marketing launch as repackaging old funnel thinking and endorses Creatio as a fully AI-native CRM alternative. Another traces the linear funnel to 1898 door-to-door sales and describes it as a poor fit for chaotic B2B buying.
Contrarian commentary anchored in vendor news, historical critique, and a proposed alternative model.
For brands planning a campaign
A brand evaluating Bret Starr for a keynote or advisory engagement can use this as evidence of a provocative, framework-led speaker on AI-era demand generation. One source endorses Creatio, so the critique of HubSpot and the product claims about Creatio are not independent analysis.
Chaotic buyer journeys and the 10 demand states framework
Bret Starr is writing a book called The Cage Door Is Open and publishing a newsletter series on chaotic customer journeys in B2B.
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The argument is that individual buyer journeys are unpredictable, but aggregate patterns are not, so marketers should focus on moments most buyers pass through rather than a fixed sequence. The framework replaces the linear funnel with 10 demand states, and the post challenges the idea of closed lost.
Book-in-progress and serialized newsletter argument, supported by chaos theory and a named framework.
For brands planning a campaign
This is the clearest signature intellectual property a brand can evaluate for a workshop, advisory engagement, or keynote on non-linear demand.
The posts offer only a LinkedIn summary of the framework.
Bret Starr reports running ChatGPT campaigns for a baker’s dozen of clients over a couple of months and finding them strong on impressions but poor on conversion.
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They were starting tests on sponsored agents and question whether paid AI programs can offer something a good AEO program cannot without undermining search credibility. The post also declares traditional SEM dead and says AI companies will need comprehensive paid media programs eventually.
Hands-on client campaign tests and public reporting of early performance.
The post includes no conversion data or independent verification of the client tests.
For brands planning a campaign
A brand can evaluate Bret Starr for practical AI-channel experimentation and candid test-and-learn reporting. A short LinkedIn update contains no campaign metrics, client names, or conversion data, so it supports a pilot better than a proven-results claim.
Bret Starr predicts that 2027 will be the first year of B2B marketing budgets with named line items for AI marketing.
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The reasoning is that metrics follow the money, and the post offers tips on preparing to measure AI marketing initiatives.
Forward-looking budget and measurement commentary.
The post contains no promised tips or measurement model.
For brands planning a campaign
This topic suits a brand looking for an advisor or speaker on AI marketing measurement, budget design, and the metrics that will justify AI spend. The post is a short teaser, not a measurement framework; scope the engagement to develop the detail.
Bret Starr has been testing two newsletters, B2B Marketing Weekly and AI Marketing Weekly.
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B2B Marketing Weekly publishes on Thursdays and AI Marketing Weekly on Tuesdays. One post announces the first issue of B2B Marketing Weekly; another says the first real issue was emailed to subscribers, with reprints on LinkedIn.
Owned newsletter products with a fixed publishing cadence and LinkedIn distribution.
For brands planning a campaign
A brand can consider newsletter sponsorship, guest contributions, or co-marketing with an established B2B and AI marketing audience.
The posts are announcements, not newsletter issues, and include no audience metrics.
Ask for the issues and audience data to assess reach and editorial quality.
Competitive intelligence tools for sales and marketing
Bret Starr introduced the Battle Card Builder, a free product from The Starr Conspiracy | TSC.
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Users enter three competitors to receive a competitive intelligence report for each. The post invites sales, marketing, product, and customer success professionals to test it and suggest what to add or remove.
Public tool launch with a direct feedback request to a professional audience.
The post solicits both positive and negative feedback but includes no engagement or performance data.
For brands planning a campaign
A brand can evaluate Bret Starr for product-led campaigns, sales enablement partnerships, or co-marketing around competitive intelligence.
The post is a call for testing, not evidence of adoption or paid demand.
A long-view critique of SaaS-era marketing systems
Bret Starr frames 25 years of B2B marketing as operating on a model invented for 1898 door-to-door sales.
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They argue that SaaS architecture, Taylorist management, and tidy dashboards forced buyer behavior into schemas the systems could handle. Responding to declining conversion rates with more performance optimization, they argue, may miss the problem.
A historical, systems-level critique of marketing operations.
For brands planning a campaign
Useful for brands seeking a speaker or advisor who will challenge marketing operations assumptions rather than optimize within them. It overlaps with the chaotic buyer journey framework, so choose one primary angle in the campaign brief to avoid repetition.
Starr's posts document work with several brands and businesses.
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They promote Creatio's AI-native CRM, criticize HubSpot's marketing model, announce Battle Card Builder from The Starr Conspiracy | TSC with 'we built it,' run the newsletter and book project The Cage Door Is Open, publish B2B Marketing Weekly and AI Marketing Weekly, and describe testing OpenAI's ad products for clients. Ask about the commercial relationship with Creatio and ownership or employment ties to The Starr Conspiracy | TSC.
Creatio
Disclosed partnership
Starr's post presents Creatio as an AI-native CRM and workflow platform and a credible replacement for HubSpot, listing AI capabilities for campaigns, lead prediction, autonomous agents, and monitoring.
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Ask whether the post reflects a sponsorship, client engagement, or other commercial relationship.
In the same post, Starr criticizes HubSpot's inbound funnel and its Loop Marketing framework as 'the same broken machine,' framing HubSpot as the incumbent whose approach is failing.
Starr announced Battle Card Builder, a free product released by The Starr Conspiracy | TSC, and said 'We built it' for sales and marketing people in B2B tech.
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Ask whether Starr owns the product or is employed by The Starr Conspiracy | TSC.
Starr says they have published the first two installments of their newsletter series 'The Cage Door Is Open,' drawn from a book they are working on about chaotic customer journeys in B2B marketing.
Both work on B2B demand programs and publish from that experience, not just commentary.
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Both make the same diagnosis of where AI pays off: the top of the funnel is saturated with personalization and cold outreach, while the leverage sits in the middle, where deals stall and buying committees go untracked. Both point to concrete signals to watch, such as a champion who goes quiet or a stakeholder mentioned in calls but never added to the CRM.
Karuppanan writes at tool level: named Claude skills, HubSpot and Salesforce data, ad-spend suppression and stall-diagnosis playbooks, each with steps a marketer can copy.
Starr works one level up, arguing that the linear funnel and its reporting categories are the underlying mistake.
They package that argument as newsletters, a book in progress and a ten-demand-state framework rather than a repeatable process.
Both translate AI product releases into terms B2B marketing teams can act on, and both write for people who run campaigns on HubSpot-style stacks.
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Each takes a new capability, such as a research connector or an AI advertising format, and spells out what it changes for audits, personas, pipeline risk or campaign planning.
Hirbod's posts focus largely on product and partner enablement: what a vendor launched, which tiers it is available on, and how partners can sell services around it.
Starr turns the same releases into a critique of vendor strategy, including HubSpot's own funnel messaging, and offers a framework that does not depend on any one platform.
Readers who want adoption guidance get it from Hirbod; those who want an argument about whether the underlying model works get it from Starr.
Both run firsthand tests of AI in front of an audience and write up what happened.
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D'Anzica spent a conversation with an AI career agent and reported where it asked better questions than a hiring manager; Starr ran ChatGPT campaigns for clients and reported strong impressions but weak conversion. Both treat those experiences as evidence of how AI changes the way people evaluate and choose.
D'Anzica's subject is customer success, hiring and fractional leadership, so the decision under examination is a person choosing an employer or a company choosing a hire.
Starr focuses on B2B demand generation and the design of the buying process.
Someone following Starr for marketing operating models would find an adjacent discipline here, not the same argument.
Bret Starr may be worth considering for a B2B marketing campaign, but their posts do not identify who follows them on LinkedIn.
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They had 19,776 followers on October 11, 2026.
Their posts discuss AI marketing, B2B buyer journeys, and marketing newsletters, but do not establish followers’ job roles or seniority.
For a campaign targeting SaaS marketing decision-makers, ask for recent audience survey results or another documented source on followers’ roles and seniority.
A B2B SaaS marketing agency wants an expert voice on AI-era demand generation—a keynote plus a short advisory engagement to teach clients how to replace funnel-based demand generation as AI summaries and no-click search cut into organic and paid traffic.
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Decision: strong fit.
Why it fits.
This need calls for exactly what Bret Starr's posts show them doing.
The "Cage Door Is Open" newsletter series, drawn from a book on chaotic customer journeys, is the signature argument: individual buyer journeys are unpredictable, aggregate patterns are not, so marketers should design around the moments most buyers pass through rather than a fixed sequence, replacing linear acquisition with ten demand states.
That is a keynote-sized thesis, stated in their own words.
The posts also show the hands-on channel work an agency needs, not just theory.
Starr reports running ChatGPT campaigns for about thirteen clients over a couple of months, calls the results strong on impressions and poor on conversion, and says sponsored-agent tests were starting the following week.
That is a speaker who will tell an audience what actually happened in a channel, including the part that looks bad.
A 2027 prediction that B2B marketing budgets will carry named line items for AI marketing—"metrics follow the money"—gives a budget-planning audience a quotable frame.
Two ongoing newsletters, B2B Marketing Weekly on Thursdays and AI Marketing Weekly on Tuesdays, show sustained output clients can follow after the event.
The free Battle Card Builder from The Starr Conspiracy adds a practical, do-something-in-the-room element suited to a working session better than a pure talk.
What to verify before committing.
The ten-demand-states framework is described on LinkedIn, but the full installments are not in the posts here; ask for the newsletter issues or book chapters before selling the framework to clients.
The one clearly commercial piece—the Creatio issue—is advocacy for that vendor rather than a neutral comparison, so agree whether that format suits the agency.
Ask directly about fees, availability, and booking.
When to choose a specialist
A B2B software company whose demand problem is already diagnosed wants creator-led demand capture: sponsored posts with disclosed rates and reach targets, plus accountability for conversion lift from a named campaign.
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Decision: poor fit based on what Bret Starr's public posts say.
Why.
The posts do not document a paid partnership format.
There are no sponsored posts, rate card, or public inquiry route, and no partnership formats are listed.
A B2B company buying sponsored reach is buying distribution and a disclosed commercial relationship; neither is established here.
The one post that reads like sponsored work praises Creatio's AI-native CRM and attacks HubSpot, but it does not disclose a commercial relationship, so it cannot show that sponsored formats exist or serve as a template for what a brand would receive.
Conversion accountability is an even bigger concern.
Starr's public reporting on early ChatGPT campaigns says they were strong on impressions and poor on conversion, and names no clients, metrics, or verified outcomes—a useful caveat for a test-and-learn audience, but a liability for a campaign that promises pipeline.
Reach claims cannot be checked either: the follower count is known, but the posts do not say who those followers are by role, seniority, or buying authority.
A media plan built on the audience would rest on an assumption.
There is also a format mismatch.
The published output is argument, critique, and frameworks—essays and newsletters—not short-form sponsored placements.
Asking for those would sand off what makes the material worth reading.
The most persuasive content also critiques the exact funnel machinery many software buyers run on, so a brand seeking brand-safe optimization messaging would be buying the opposite of the pitch.
To reconsider, ask for sponsorship terms, audience data by role, and documented campaign results.
A worked campaign example
A worked angle for the agency's keynote-and-advisory engagement, built from Bret Starr's published posts.
Engagement shape: a 45-minute keynote for the agency's client summit or internal learning day, followed by a half-day working session and a 90-day advisory retainer with two check-ins.
The keynote, in three movements.
First, the trap: the funnel is a 19th-century model, and SaaS architecture, Taylorist management habits, and a preference for tidy dashboards pushed buyer behavior into schemas the systems could handle.
Repeat Starr's own framing: we did not choose the linear funnel; it fell out of the SaaS era.
Second, what changed: AI summaries produce no-click searches, so organic traffic and paid clicks fall together, and the old answer—more performance optimization—misses the problem.
Third, the replacement: individual journeys are unpredictable but aggregate patterns are not.
Design around ten demand states buyers move between, and drop the assumption that anything is "closed lost."
Close with the budget claim that 2027 will be the first year B2B marketing budgets carry named line items for AI marketing, because metrics follow the money.
The working session: take one client's live acquisition process and map its stages onto demand states, marking where current handoffs assume a sequence the data does not support. Then have pairs run the free Battle Card Builder on three real competitors and critique the output—a low-cost way to give attendees something usable the same day and surface where competitive intelligence is thin.
The AI-channel segment: present Starr's ChatGPT campaign findings as a live test log—about thirteen clients, a couple of months, strong impressions, weak conversion, sponsored-agent tests next.
Ask the room to decide what would justify continuing the test.
The point is a method for judging a new channel before the budget line exists, not a recommendation to buy it.
Items to put in the agency's pitch: the Cage Door installments and the book in progress for the framework, the ChatGPT test post for firsthand channel experience, the 2027 budget forecast for a citable prediction, and the two newsletters as the audience's continuing source.
Before signing, request the full newsletter installments and any book chapters, since the ten demand states are named but not fully laid out in the published posts.
Agree whether a vendor-backed advocacy piece is acceptable output or whether the retainer is limited to neutral analysis.
Choose Sam Hirbod for a keynote-and-advisory engagement when the agency's clients already run on HubSpot and the real question is which AI features to turn into billable services.
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The posts cover HubSpot's releases in partner terms: the Deep Research Connector for ChatGPT is broken into sellable work such as AI-powered audits, personas, journey mapping, sharper QBRs, and automation workshops.
An INBOUND recap walks through Breeze AI, Smart CRM data controls, and the event's move to San Francisco, thanking named partners and colleagues along the way.
A working session drawn from those posts gives a HubSpot-heavy audience something to package for clients the same week.
The same fee buys release-and-enablement expertise, not an argument.
These posts explain what a vendor shipped and how to sell it; they neither challenge the funnel nor report on channel tests, and they leave agency clients without a framework to debate after the event.
For a keynote meant to reframe how the agency sells AI-era demand generation, this is the narrower, safer choice.
Choose Omprakash Karuppanan when the agency wants mid-funnel operating detail instead of a broad thesis.
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The posts work through the account stack its clients already own: five named Claude skills for deal reporting, cutting ad spend against non-ICP accounts, account research, field-marketing attribution, and stall diagnosis.
They then walk through what to pull from call recordings, webinar Q&A, and sales email threads to catch deals quietly stalling.
The posts cite specific figures, including an audit of 31 stalled accounts where 17 had an unworked trigger event in the prior 60 days, making this a better fit for a hands-on working session than a stage keynote.
The scope is tighter.
Karuppanan's argument that AI made outbound worse rather than better focuses on fixing the middle of the pipeline inside HubSpot, Salesforce, and LinkedIn Campaign Manager; it does not replace the funnel or address AI search and no-click traffic.
The public proof is a described consulting practice that ends in a direct-message offer, rather than a published book or newsletter series.
Ask what ongoing material the agency can point clients to after the event.
Consider Emilia D'Anzica for the same agency only if the need is retention or hiring.
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The posts show operating work rather than marketing theory: a nine-month fractional leadership role at Anagram, closed with thanks to named executives and a handoff to a hired successor; and a first-person test of an AI career agent (Jack & Jill) describing how its questions compared with a typical recruiter's and how quickly relevant openings landed in the inbox. For an agency whose clients are losing accounts through weak onboarding or struggling to hire, that offers a different, directly useful session.
This is a mismatch for a demand-generation brief.
Neither post touches funnels, AI search, or channel testing, so the agency would be paying for customer-success and hiring expertise and still need a demand-generation voice for the keynote.
Treat this as an adjacent booking to pair with the main speaker, not a substitute for the demand-generation session described here.
Seven LinkedIn posts by Bret Starr discuss 2025 and 2026 developments, including HubSpot's INBOUND 2025 messaging, a test of ChatGPT campaigns for about thirteen clients, the launch of two newsletters, and planning for 2027 AI marketing budgets; the posts do not give exact publication dates.
They cover the "Cage Door Is Open" newsletter series and its book in progress, a Creatio-sponsored newsletter issue, a 2027 budget forecast, and the free Battle Card Builder tool.
The posts here do not include the newsletter issues themselves, the book chapters, the measurement guidance referenced in the budget post, or any campaign performance data, so the framework detail, measurement advice, and test results rest on the posts' own descriptions.
Comparisons with other creators also use six posts from three other creators dated 2024 through 2026.
