Lewis Taylor: Customer Experience and Transformation

At a glance

Most useful for B2B customer experience and transformation thinking that turns retention into an operating problem.

Best for

A B2B CX consultancy wanting a named advisory and thought leadership partner for a 90-day retention campaign.

Not for

A consumer fintech app wanting high-volume paid social video to drive app installs.

Key takeaways

Customers fight slow support, broken handoffs, complicated onboarding, repeated explanations, and poor ownership.
Cheap, fast, best trade-off asks leaders to decide what matters most before change.
AI should reduce routine friction while people handle relationships and complex decisions.

Check first: Ask for recent LinkedIn analytics or audience survey covering impressions, engagement, seniority, industry, and geography.

Main ideas: Customer frustration is usually a symptom of internal misalignment · Transformation is about choosing which trade-offs you can afford · An adviser should make the client the hero
Audience: 4,967 LinkedIn followers
Read first: Stop Asking Customers to Swim Out to Meet You

Sources for this section

What they are known for

Lewis Taylor works on customer experience and business transformation through First30Seconds, addressing customer success, support, go-to-market, and product operations.

Their posts also point to the book The New Ultimate Question: How Might We?, which turns a familiar meeting question into a way to reframe business problems.
Follow them for practical examples of reducing customer friction, choosing transformation priorities, and connecting strategy with execution.

Taylor makes broad transformation problems easier to discuss by turning them into specific questions and trade-offs.

In one post, they list the support failures that make customers work harder—slow responses, broken handoffs, and repeated explanations—and ask whether customers are reaching value or merely surviving the process.
In another, they use the “cheap, fast, best” trade-off to explain why leaders must decide what matters most before choosing the scale and pace of change.
The recurring “How Might We?” framing offers a constructive alternative to blame or reflexive rejection.
They also argue that AI should reduce routine friction while people handle relationships and complex decisions.
Their posts are mostly explanatory LinkedIn posts; the London hotel story points to a separate article.

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Ideas and priorities

Lewis Taylor's customer work keeps making the same move: treating a customer problem as evidence of internal misalignment.

Across the posts, they argue that transformation means choosing which trade-offs a business can afford; advisers should build the client's own capability rather than dependency; "How Might We?" questions replace blame in meetings; AI should absorb routine work while people handle judgment and trust; and a single global customer-success playbook misreads local expectations.

Customer frustration is usually a symptom of internal misalignment

Taylor describes support, customer success, CX, onboarding, product and go-to-market as one chain, with customers paying for the gaps between them.

The failures are operational, not attitudinal: slow support, broken handoffs, complicated onboarding, disconnected teams, repeated explanations and poor ownership.

When customers are exhausted before reaching the outcome they bought, another dashboard, tool or presentation is not the answer.
The fix is cross-functional, and AI belongs in it only if it removes friction instead of adding another obstacle for customers to navigate.

The post's central image is customers "swimming into a head-on current," capped by the question of whether they are moving toward value or "simply getting better at surviving your process."

Read original

Transformation is about choosing which trade-offs you can afford

Using cheap, fast and best, Taylor argues that transformation programmes get into trouble when leaders want world-class customer experience, lower churn, faster growth, product adoption, AI efficiency and better CSAT at the same time.

The starting question is which outcome matters most right now.

From there, they ask what must move immediately, what must be done exceptionally well, where the business can simplify, where AI or technology creates leverage, where human expertise still matters, and what the business is willing to trade to get the outcome.
Taylor calls doing more without choosing activity, not transformation.

The triangle’s three pairings—cheap and fast but probably not best, fast and best but not cheap, cheap and best but probably not fast—and the shapes of work Taylor says they produce: a 30-day full court press, a 90-day transformation, or fixing three critical moments in the customer journey instead of redesigning fifty processes.

Read original

An adviser should make the client the hero

Taylor calls the model "coachsulting": consulting solves the business problem while coaching strengthens the leader who must keep driving the solution after the engagement ends.

They argue against large teams, months of discovery, budget-consuming presentations and a dependence model designed to keep the engagement going. The measure of the work is how capable, confident and successful the client becomes, not how important the consultant appears during the engagement.

A leader facing challenges across customer experience, operational execution, team alignment and retention who, in Taylor's account, needed clarity—not dozens of people arriving with a long discovery phase. The post also says First30Seconds does not take the spotlight from leaders but helps them step into it.

The same coaching-plus-consulting claim appears in both posts. One makes it through a client story about a leader who needed clarity; the other calls it "coachsulting" and extends the idea to cost, AI and capability.

Read original · Original 2

"How Might We?" replaces blame questions with possibility questions

Taylor wrote a book about the phrase and uses it to shift meetings from questions such as "Why can't they?", "Who approved this?", "Haven't we tried that?" and "Let's circle back" to "How might we make it work?"

The method is applied to specific operating problems, not left as a slogan.

"Customer Success owns churn" becomes "How might we make retention everyone's responsibility?"; "Support is too expensive" becomes "How might we create an experience customers actually value?" Taylor notes that the book uses a horse and a camel to tell the story.

The question also closes other posts, including "How Might We get your customers back on dry ground?" in the customer-effort post and "How might we meet customers where they are" in the US/UK post. It serves as both a recurring sign-off and a working method.

Read original

Digital-first should not mean human-last

Taylor's operating-model position is that AI should handle scale, repetition, insights and routine interactions while people focus on relationships, complex decisions, customer outcomes and the moments that matter most.

They pair AI-forward efficiency with what they call human-backed experience, preserving trust, empathy and judgment.

The coachsulting post’s four-part frame—high relationship feel, digital low-cost model, AI-powered efficiency and human-led impact—alongside its stated deliverables: AI-forward solutions for speed, scale and customer intelligence, and human-backed experiences for trust.

Read original

One global customer-success playbook does not travel

Taylor argues that the same words do not always create the same experience.

A playbook built for one market can confuse customers in another, and a message meant to build confidence can create friction when the context is wrong.

Their standard is customer success consistent enough to scale but contextual enough to feel personal.
The closing question is how to meet customers where they are instead of expecting them to translate the experience.

Taylor lists US and UK differences: standing in a line versus joining a queue, football played mostly with hands, chips and crisps, biscuits, and the warning about discussing pants in a UK business meeting. The business point: a "quick response" in one region may feel painfully slow somewhere else.

Read original

Sources for this section

Start with their work

Stop Asking Customers to Swim Out to Meet You

This explains what Taylor means by customer transformation before any service pitch.

It is the clearest statement of the diagnostic lens used throughout the work: customer frustration as a symptom of internal misalignment, not a support-volume problem.

Taylor argues that slow support, broken handoffs, complicated onboarding, disconnected teams, repeated explanations and poor ownership force customers to work harder than the product should require.

The closing question carries the argument: are customers moving toward value or simply getting better at surviving your process?
They then name the areas a fix would need to cover: Support, Customer Success, CX, onboarding, Product and GTM alignment, and AI used to remove friction rather than add an obstacle.

For brands planning a campaign

A practical engagement hook: a friction audit or journey teardown that maps where customers compensate for internal gaps, rather than another dashboard or tooling pitch.

Cheap, Fast, Best: Pick Two

This is the clearest explanation of how Taylor sequences a transformation when several functions want competing things at once.

It shows the trade-off reasoning a prospective client would be buying through the choices they raise before recommending an engagement.

Taylor applies the familiar cheap, fast, best triangle to transformation programmes seeking world-class CX, lower churn, faster growth, product adoption, AI efficiency and better CSAT all at once.

They start with specific questions: which outcome matters most right now, what must move immediately, what must be done exceptionally well, where can the work be simplified, and where can AI create leverage?
They outline possible approaches, including a 30-day full-court press, a 90-day transformation, or fixing three critical customer-journey moments instead of redesigning fifty processes.

For brands planning a campaign

A thought-leadership hook built on trade-off framing, useful for reaching CX, CS, GTM and product leaders asked to deliver everything at once.

Bringing in a Consultant Does Not Mean Leaders Lack Answers

This explains how Taylor positions the offer against conventional consulting.

It is the clearest description of the coaching-plus-consulting model and the client relationship they say the work is designed to create.

Taylor describes a coaching-plus-consulting model, labelled coacheulting in other posts: consulting solves the business problem while coaching leaves the leader better able to keep driving the solution after the engagement ends.

They describe a recent client who needed clarity, not a large team, months of discovery or a budget-consuming presentation, and frame the goal as making the client the hero rather than the consultant.
The aims are better results, faster execution, smarter investment, stronger leaders and sustainable transformation.

For brands planning a campaign

An advisory or embedded-workshop angle for leadership teams seeking capability transfer, not permanent outside dependency.

I Wrote a Book About Three Words: How Might We?

This explains what the recurring How Might We? line refers to and why Taylor keeps returning to it.

Newcomers who see the phrase in other posts get its origin, method and the book behind it in one place.

Taylor contrasts the How Might We? question with meeting staples such as why can't they, who approved this, and let's circle back, then demonstrates the reframe with three business examples: customer success owning churn becomes retention as everyone's responsibility, and support being too expensive becomes creating an experience customers value. They note that the book uses a horse and a camel to tell the story, and close with a direct link to it.

For brands planning a campaign

A book-led content angle: question-reframing workshops or a discussion series built on the How Might We? method.

Coachsulting: Better Outcomes, Lower Cost, Sustainable Strategy

This explains what Taylor says the model delivers and how AI fits into it.

It is the fullest account in their posts of the operating model behind the customer-experience and transformation language used elsewhere.

Taylor presents the coacheulting proposition as coaching combined with hands-on consulting, contrasting it with a 100-page presentation and a departure.

The claimed deliverables are better outcomes, lower costs by avoiding traditional consulting overhead, sustainable change built as internal capability, AI-forward solutions for speed and customer intelligence, and human-backed experiences for trust and judgment.
The framing line is that digital-first does not have to mean human-last: AI handles scale and routine interactions while people focus on relationships and complex decisions.

For brands planning a campaign

A positioning piece for clients weighing AI-driven efficiency against relationship-led customer experience, useful as an anchor for a longer advisory conversation.

Sunday Observation: the USA and UK Speak the Same Language Differently

This explains how Taylor approaches global customer success beyond programme design.

It shows the range of the work and the habit of finding a customer-experience lesson in an everyday observation.

Taylor lists differences in US and UK language and expectations, using queuing, football, chips, biscuits and the word pants, then draws the customer-success lesson: the same words do not always create the same experience.

A playbook built for one market may confuse customers in another.
Great customer success, they argue, is consistent enough to scale but contextual enough to feel personal.
They close by asking whether businesses meet customers where they are or expect them to translate the experience.

For brands planning a campaign

A global-CS or localisation content angle for clients running the same playbook across markets with different expectations.

The London Hotel Conversation About AI, Churn, and the CSM

This answers how Taylor opens a customer-success argument in narrative form and which themes get grouped together.

Read it as a sample of openings and framing rather than a complete argument, because the post text stops at the point where the full article begins.

Taylor recounts overhearing three leaders in a London hotel restaurant discuss growth, churn and retention, including acquisition, pricing, product, automation, marketing, AI, cost reduction and processes.

The post says the rest is in the article and links to it.
Ask for the article to assess its conclusion and detail.

For brands planning a campaign

A narrative-led opener for churn and retention content. Collect the linked article before quoting it for substance rather than framing.

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Topics and approach

Customer experience and retention transformation

Lewis Taylor examines how support, customer success, CX, onboarding, product, and go-to-market create or remove effort for customers.

One post describes customers fighting a head-on current because of slow support, broken handoffs, repeated explanations, and poor ownership, then connects those failures to retention and growth. Another argues retention should be everyone’s responsibility, not only Customer Success.

For brands planning a campaign

A brand can position this as a customer-journey diagnostic or retention advisory: fund a practical series on reducing customer effort, with Lewis Taylor contributing journey mapping, handoff repair, and cross-functional retention examples. Sponsors should expect operator-level CX and CS language rather than generic loyalty messaging.

Examples: Source 1 · Source 2

Transformation trade-offs and prioritization

Using the 'cheap, fast, best—pick two' frame, Lewis Taylor argues transformation programs fail when leaders demand world-class CX, lower churn, faster growth, adoption, AI efficiency, and higher CSAT simultaneously.

The approach is to decide which trade-off the business can afford, what must move immediately, what must be done exceptionally well, and where AI or simplification creates leverage. They distinguish activity from transformation and mention 30-day and 90-day interventions.

For brands planning a campaign

For consultancy or transformation-platform partners, this supports campaign content on prioritization, operating-model choices, and outcome-led roadmaps. A co-branded diagnostic or workshop can ask prospects to name the outcome and the trade-offs before choosing a transformation program.

Examples: Source 1

Coachsulting: consulting plus leadership coaching

Lewis Taylor markets 'coachsulting' as combining consulting that solves the business problem with coaching that strengthens the leader who must sustain the change.

The posts reject large discovery teams, consultant dependency, and the consultant-as-hero model. The stated goal is better results, faster execution, smarter investment, stronger leaders, and sustainable transformation.

For brands planning a campaign

This is relevant for leadership-development, advisory, or professional-services brands. The usable angle is co-branded enablement for leaders—workshops, embedded advisory, or case content showing how a consultancy transfers capability instead of creating dependency.

Examples: Source 1 · Source 2

How Might We? and question-led problem solving

Lewis Taylor wrote a book about 'How Might We?' and uses the phrase to move teams from blame-oriented questions such as 'Why can’t they?' and 'Who approved this?' toward possibility-oriented ones such as 'How might we make it work?' Examples include shifting retention from Customer Success ownership to shared responsibility and reframing support cost as creating an experience customers value.

They also use humor, including a camel-and-horse reference, to make the method memorable.

Reframing a stated problem into a 'How might we...' question, then applying it to specific operating problems rather than treating it as a slogan.

For brands planning a campaign

A brand can license or sponsor question-led innovation content, book-related discussions, or workshop prompts.

The method fits campaign briefs where the sponsor wants prospects to rethink a stuck process.
Avoid reducing it to a slogan: the post shows its value comes from applying the question to concrete problems.

Examples: Source 1

AI with human-backed customer experience

Lewis Taylor’s stated position is that digital-first should not mean human-last.

The coachsulting post calls for AI to handle scale, repetition, insights, and routine interactions while people focus on relationships, complex decisions, customer outcomes, and high-trust moments. The post frames this as an operating-model choice: AI-forward efficiency paired with human-led impact.

For brands planning a campaign

This fits AI customer-service, CX automation, or customer-intelligence brands seeking thought leadership on where automation should stop and human judgment should remain. A campaign can pair Lewis Taylor’s operating-model view with a practical audience—CS, support, and CX leaders—rather than a broad AI prediction audience.

Examples: Source 1

Cross-market customer expectations and local context

A Sunday post uses US and UK differences in language and everyday expectations to argue that customer success cannot be one undifferentiated global playbook.

Lewis Taylor notes that a 'quick response' or a confidence-building message may land differently across markets, and calls for CS that is consistent enough to scale but contextual enough to feel personal.

The post is a light cultural observation, not a full localization framework. Ask for a fuller framework before treating it as a standalone methodology.

For brands planning a campaign

For global CX, localization, or customer-success platforms, this supports content on regional playbooks, voice-of-customer differences, and service design across markets. A campaign could use Lewis Taylor to test how a single retention or onboarding message needs to adapt by region.

Examples: Source 1

Story-led posts that lead to longer articles

Lewis Taylor uses a personal London hotel scene to introduce churn, growth, retention, and AI, then directs readers to a longer article.

For brands planning a campaign

Before a content partnership, review the full article pipeline; the teaser alone is not the complete argument. Its anecdotal hook format can also support CS and retention campaigns.

Examples: Source 1

Sources for this section

Brands and businesses

Lewis Taylor discusses one clear business relationship in the posts: First30Seconds, the consultancy they write through when discussing customer experience, customer success, support, go-to-market, product operations, and AI-forward transformation.

They sign posts as First30Seconds and describe its work in the first person.

Before engaging, ask for their formal title, ownership stake, and contractual status; posts do not specify them.
No sponsorship, affiliate, client, or investor relationships appear in their posts.

First30Seconds

Disclosed partnership

Lewis Taylor signs posts as First30Seconds and describes its work in the first person, presenting a coaching-plus-consulting model the company calls "Coachsulting".

They apply it to customer experience, customer success, support, go-to-market, product, and AI-forward transformation.

Posts say First30Seconds does not sell hours or activity and focuses on outcomes, and direct readers to first30seconds.org.
Before engaging, ask for their title, ownership stake, and contract terms; posts do not specify them.

View example

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Topics and similar creators

Lewis Taylor is best explored through the LinkedIn posts rather than a single flagship article.

Start with the post about customers swimming into a head-on current: it sets out the core frame that support, customer success, CX, onboarding, product and go-to-market are one chain, and that customers end up paying for the gaps between them.

Read that alongside the cheap, fast, best post to see how they turn the frame into a prioritisation argument about choosing which trade-offs a transformation programme can afford.
The posts about coachsulting and the 'How Might We?' book show the working method: replace blame questions with possibility questions, build the client's own capability instead of dependence, and use AI for routine scale while people handle trust, judgment and complex decisions.
The shorter Sunday post on US and UK customer expectations is a useful test of whether a global customer-success playbook travels.

Customer experience Customer success Retention and churn Transformation strategy Operating model Prioritization Consulting and coaching Question-led problem solving AI and customer service Cross-market customer expectations Leadership development LinkedIn posts Story-led explanation Practical prompts CX leaders Customer success leaders B2B transformation leaders Support leaders

Anurika Okoyenta

Okoyenta writes about customer success practice from the post-sale side: the first question a CSM should ask after a deal closes, why a customer bought, what outcome they are pursuing, and how CSAT can act as an early churn signal.

That overlaps with Taylor's customer-success and retention subject matter, especially their argument that retention should not sit only with Customer Success and that customers buy outcomes rather than features.

Okoyenta teaches CSM-level how-to explanations: define success for one customer, validate goals after the sale, and calculate and interpret CSAT. Taylor works at the transformation and advisory level, tying customer effort to cross-functional misalignment, trade-offs and operating-model choices.

Read original · Original 2

Natalia Dubnyak

Dubnyak connects operations, transformation and leadership in a way that echoes Taylor's systems view: trust, clarity and accountability in high-performing teams; discipline and empathy in real transformation; and AI helping planners make better decisions faster rather than replacing them.

The theme of improving the whole system instead of optimising isolated parts also echoes their argument that customer problems are often evidence of internal misalignment.

Dubnyak's examples sit in supply chain, manufacturing and demand/supply planning, with references to SAP IBP, CPG forecasting and operations leadership. Taylor's material is aimed at customer experience, customer success, support and go-to-market leaders.

Read original · Original 2

Sara Royf

Royf teaches a repeatable method for consultants: a small weekly set of LinkedIn actions, direct outreach, follow-up and a live training offer.

The overlap with Taylor is the consultant-facing instructional format and the promise of a simpler, more reliable way to win work, though their method is framed around customer transformation and advisory outcomes rather than LinkedIn lead generation.

Royf's subject is client acquisition and profile optimisation for consultants, including a portal for profile recommendations and beta testers. Taylor's subject is customer experience, retention and transformation consulting, with little practical marketing-system advice.

Read original · Original 2

Sources for this section

Audience

The only measured audience figure published on Lewis Taylor's LinkedIn profile, linked from First30Seconds, is 4,967 followers, recorded on 7 October 2026.

Their posts do not report post-level reach, engagement or follower composition.

The seven posts are long-form LinkedIn text written for CX, customer success, support, GTM and product leaders — the same readers a B2B CX consultancy would want to reach.
That makes them a reasonable fit for an advisory or thought-leadership partnership, but does not establish geography, seniority, occupation or buying authority.
Before committing to a reach- or audience-targeted deliverable, ask for recent LinkedIn analytics or an audience survey covering comparable posts: impressions and engagement rate per post, follower breakdown by seniority and industry, and geography.
Platform demographic exports of the YouTube type would only cover geography, age and gender; employer, job function and seniority need a survey or a platform professional breakdown not published in their posts here.

LinkedIn followers

4,967

LinkedIn profile linked from First30Seconds (linkedin.com/in/lewistaylor) · 2026-10-07

Sources for this section

linkedin.com: lewistaylor stop asking your customers to swim out to

Partnership options

The posts describe no partnership or sponsorship formats.

Lewis Taylor promotes First30Seconds, a consulting practice that combines coaching and consulting for customer experience, customer success, support, go-to-market, and product work; another post promotes a book.

They describe client engagement approaches but disclose no sponsorship offerings, partner requirements, pricing, or official partnership inquiry process.
Buyers considering an advisory partnership should ask First30Seconds about scope and the contact route; the posts state no official partnership inquiry URL.

Sources for this section

Campaign fit

A campaign to shortlist

A B2B customer experience and transformation consultancy wants a named advisory and thought-leadership partner for a 90-day retention campaign aimed at CX, customer success, support, and product leaders.

Lewis Taylor is a strong fit.

The posts are written for exactly those readers, and they turn retention into an operating problem rather than a dashboard problem.
One argues that customers fight “a head-on current” of slow support, broken handoffs, complicated onboarding, repeated explanations, and poor ownership.
It asks whether customers are moving toward value or just getting better at surviving the process.
That is a usable campaign thesis, not a slogan: Taylor names the functions a fix has to cover—support, customer success, CX, onboarding, product, go-to-market, and AI used to remove friction rather than add another obstacle.
They also bring a decision framework the audience can act on.
The cheap-fast-best post applies a familiar trade-off to transformation programmes that want better CX, lower churn, faster growth, adoption, AI efficiency, and higher CSAT all at once.
It asks what outcome matters most right now, what must move immediately, what must be done exceptionally well, where simplification is possible, and where AI creates leverage.
It names realistic shapes of work, including a 30-day push, a 90-day transformation, or fixing three critical customer-journey moments instead of redesigning fifty processes.
That gives a sponsor campaign concrete language.
The positioning is explicit enough to build around: Taylor markets “coachsulting,” combining consulting that solves a business problem with coaching that strengthens the leader who keeps driving it after the engagement.
Across two posts, they reject large discovery teams, consultant dependency, and the consultant-as-hero model.
Their aim is better results, faster execution, smarter investment, stronger leaders, and sustainable transformation.
For a consultancy buying advisory and content, that is a coherent offer rather than a loose personal brand.
Two points need resolving before a deal.
The posts publish no partnership or sponsorship formats, pricing, or inquiry route; agree scope and contact directly with First30Seconds.
The only audience figure available is 4,967 LinkedIn followers recorded on 7 October 2026, with no post-level reach, engagement, or follower composition.
Ask for those figures if the campaign depends on measured reach rather than subject-matter credibility.

When to choose a specialist

A consumer fintech app wants a high-volume paid social sponsorship across short-form video to drive app installs, with reach and install targets as the primary success measures.

Lewis Taylor is a poor fit.

The posts are long-form LinkedIn text for B2B customer experience, customer success, support, go-to-market, and product leaders.
They contain no short-form video, consumer finance content, or creative aimed at a general consumer audience.
Reformatting Taylor into short vertical video would require a new production line rather than build on existing strengths.
The commercial details also argue against the fit.
The posts publish no sponsorship or partnership formats, rates, partner requirements, or official inquiry route.
The only measured audience figure is 4,967 LinkedIn followers recorded on 7 October 2026; no post reports impressions, engagement rates, follower seniority, industry, geography, install performance, or conversion performance.
Before considering a paid package, ask for available audience and performance data, plus formats, rates, and partner requirements.
Without evidence for reach or installs, a campaign built around those targets would be unsupported.
The subject matter is a mismatch, too.
Taylor's arguments concern internal misalignment, journey friction, trade-off decisions, capability transfer, and where AI should stop and human judgment should continue.
Those topics could serve a fintech's CX and retention leaders, but this campaign targets consumer acquisition, not the operating model behind customer experience.
If the fintech has a B2B or enterprise arm selling to CX and customer-success teams, reassess the fit for that audience.

A worked campaign example

Worked campaign angle for a 90-day retention campaign aimed at CX, customer success, and support leaders: a 90-day co-branded “customer friction audit” series.

Objective: reach CX, customer success, and support leaders at B2B software and services companies, and generate qualified conversations about a retention and transformation engagement.

Format: four to six LinkedIn posts from Lewis Taylor plus one long-form article or downloadable audit worksheet, published across roughly 90 days and co-branded with the sponsor. The proposal does not include video; the existing material consists of written LinkedIn posts and one article link.

Arc and the posts behind it: 1. Open with the swim-out-to-meet-us problem. Taylor's posts already supply the hook: customers fighting a head-on current through slow support, broken handoffs, complicated onboarding, repeated explanations, and poor ownership. The post asks whether customers are moving toward value or getting better at surviving the process. 2. Reframe it as an internal alignment issue. Name the functions that have to move together: support, customer success, CX, onboarding, product, go-to-market, and AI used to remove friction. The sponsor can add a diagnostic lens without taking over the argument. 3. Introduce the trade-off decision. Use the cheap-fast-best frame to ask what outcome matters most in the next 90 days, what must move immediately, what must be done exceptionally well, where simplification is possible, and where AI or human expertise creates the most leverage. Offer three shapes of response: a 30-day focused push, a 90-day transformation, or three critical journey-moment fixes instead of fifty process redesigns. 4. Publish a practical audit worksheet as the campaign asset. Provide blank and completed versions: map the moments where customers have to compensate for internal gaps, score each on effort, ownership, and handoff quality, and choose one or two to fix in the next quarter. The asset should work without the sponsor in the room. 5. Close with a “How Might We?” prompt built on Taylor's book method: move the room from “Customer Success owns churn” to “How might we make retention everyone's responsibility?” Keep the method attached to a concrete operating problem rather than treating the phrase as a slogan. 6. Handoff. End with an invitation to a working session on the reader's own journey map, framed the way Taylor frames the consulting offer: consulting to solve the immediate problem, coaching to leave the internal team more capable, and no dependency model.

Sponsor role and measurement: the sponsor supplies the audience list, hosts the worksheet and landing page, and owns follow-up conversations. Track worksheet downloads, completed worksheets submitted, working sessions booked, and pipeline created. Do not set install, reach, or follower-growth targets without audience composition or engagement data. Agree the commercial format and inquiry route with First30Seconds before the campaign starts.

Why this angle rather than a generic sponsorship: it uses the arguments Taylor already makes, gives the reader an asset that works outside the article, and keeps the sponsor in a practical support role rather than asking Taylor to endorse a product the posts do not discuss.

Sources for this section

Who else to consider

Anurika Okoyenta

Choose Okoyenta when the retention campaign needs a frontline customer-success practitioner rather than a transformation leader.

The posts walk a CSM through the questions to ask after a deal closes — why the customer bought, what outcome they expect, what was promised during the sale — and explain how CSAT works, including that only the top two scores on a five-point scale count toward the official percentage. A 90-day campaign that wants to teach customer-success and support readers one repeatable first-week habit, and make a satisfaction metric concrete enough to use, gets that more directly from this material than from leadership-level framing.

The tradeoff is scope and altitude.

Taylor's posts address the operating model across CX, customer success, support, onboarding, product, and go-to-market, name the trade-offs a transformation programme must choose between, and describe an advisory engagement a sponsor can buy.
Okoyenta's posts stay inside the CSM role: what to ask, what to validate, how to read a score.
For a co-branded thought-leadership series, ask whether Okoyenta can provide a senior partner and a documented advisory offer.

Examples: Source 1 · Source 2

Natalia Dubnyak

Choose Dubnyak when the campaign's readers are supply chain, operations, and manufacturing leaders rather than CX and customer-success leaders.

The posts ask where AI fits for companies already running planning systems such as SAP IBP, name CPG examples, and list what AI helps planners do: detect demand shifts earlier, predict supply risks, optimize inventory, prioritize exceptions, and evaluate scenarios faster.

One post also sets out leadership beliefs drawn from operations — trust, clarity, accountability, discipline and empathy — and points to The Goal by Eliyahu Goldratt.
For a campaign aimed at holding industrial or CPG accounts through better planning and service reliability, this is the audience's own language.

The tradeoff is that the buyer task changes.

Taylor frames churn and retention as customer-experience and internal-alignment problems, and describes functions, trade-offs, and an engagement shape to act on.
Dubnyak's posts focus on forecasting, planning tooling, and operational leadership.
For a sponsor selling CX and retention transformation into software and services companies, ask whether Dubnyak can address customer journeys, onboarding, support handoffs, and a customer-success operating model; otherwise, the campaign moves away from the audience the offer is built for.

Examples: Source 1 · Source 2

Sara Royf

Choose Royf when the campaign's job is to help consultancy founders get visible and generate pipeline, rather than to teach retention practice.

The posts set out a specific weekly LinkedIn routine — two posts, ten personalized outreach messages, a running follow-up list — name the diagnostic questions used when that routine is not producing calls, and describe an interface built for profile recommendations where clients comment, mark sections complete, and watch tutorials. If the consultancy's campaign shifts from a retention thought-leadership series to a demand-generation partnership aimed at its own lead flow, this material is the more direct fit, with a described service behind it.

The tradeoff is topic and buyer.

Taylor's posts give CX, customer-success, support, and product leaders arguments they can act on inside their own operating model; Royf's give consultants a marketing method.
For a campaign meant to reach customer-facing leaders and produce a usable retention asset, ask whether Royf can address retention, customer journeys, or transformation.
The posts describe a paid client service rather than an advisory stance, which changes the shape of a co-branded partnership.

Examples: Source 1 · Source 2

Sources for this section

Build your campaign brief

Editable Markdown templates for planning a campaign with this creator.

Blank campaign brief — creator partnership

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Completed brief — customer friction audit series for a CX and transformation consultancy

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Completed brief — consumer fintech app install campaign, declined after review

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Sources for this section

Research methodology

Lewis Taylor's seven LinkedIn posts include complete text in six; a seventh introduces a London hotel conversation but links to an article not included here.
The posts do not show publication dates; the LinkedIn account was observed on 7 October 2026.
No other primary materials were available.