Tom Peace writes and speaks about customer loyalty, CRM and customer engagement, including how brands can use customer data, personalisation and digital wallets to make communications more relevant.
Tom Peace is most useful for explaining loyalty, CRM and personalisation strategy and how to use customer data and digital wallets.
Best for
Loyalty-tech or CRM software brands seeking advisory work or co-produced educational content on customer engagement.
Not for
Retail or consumer brands wanting high-volume paid social campaigns for app installs and measurable sales.
Key takeaways
Reach customers in channels they already use instead of asking for another download.
Personalisation is the floor; the fix is clean data and orchestration, not a new AI engine.
Customer data is only worth what the loop does with it.
Check first: Ask whether Tom Peace accepts paid partnerships and request audience demographics and engagement results.
Main ideas
Reach customers in channels they already use instead of asking for another download · Personalisation is the floor; the fix is clean data and orchestration, not a new AI engine · Customer data is only worth what the loop does with it
Tom Peace writes and speaks about customer loyalty, CRM and customer engagement.
Their work focuses on making customer communications more relevant: use customer data rather than simply collect it, coordinate messages across channels, and reach customers in places they already use, such as Apple and Google Wallet.
In a chapter of Rasmus Houlind’s Hello $Firstname AI Edition, they introduce the Bowtie of Personalisation, a model that pairs customer insight with useful marketing content.
Peace connects broad ideas about loyalty and personalisation to practical choices.
They distinguish first-party data, such as purchases and visits, from zero-party data customers share about their preferences, and argue for a visible exchange: ask for a little, use it to improve the next interaction, and earn the right to ask for more.
Their personalisation posts stress that an AI tool alone is not the answer; relevance depends on the right message reaching the right person at the right moment.
On loyalty, they contrast the cost and download friction of a dedicated brand app with using a digital wallet customers already carry.
These examples make their work useful to readers assessing CRM, loyalty and customer-engagement strategies.
Tom Peace writes about customer loyalty, CRM and engagement, with relevance running through the posts.
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In their view, brands earn engagement by meeting customers in channels they already use, keeping data and orchestration clean enough to use what they already collect, and treating personalisation as a baseline rather than a differentiator. The posts make short arguments, usually ending with a question to the audience and a pointer to a longer video, blog, series or audiobook chapter.
Reach customers in channels they already use instead of asking for another download
Tom Peace argues that app acquisition is the wrong place to start a loyalty programme: apps are expensive to build and even more expensive to get downloaded, while Apple Wallet and Google Wallet are already installed, open and on the home screen.
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The case is part economics, part behaviour: wallet passes are cheaper and quicker to integrate, and put the programme where valuable customers already live.
They single out Gen Z as managing brand relationships through notifications rather than inboxes.
The post does not claim apps have no role; it frames wallets as the lower-friction option specifically for loyalty.
The argument contrasts building an app with integrating wallet passes, citing a 2% conversion rate on app-install prompts.
It asks readers about their download-to-active rate and links to a video interview with Sagar Subhash of Litecard, introduced as a wallet-technology guest.
Subhash's views appear in the video, not the post itself.
Personalisation is the floor; the fix is clean data and orchestration, not a new AI engine
Tom Peace argues that every irrelevant email quietly costs trust—and that brands are about to make the problem worse.
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Personalisation, they say, has stopped being a differentiator and become the floor: 71% of customers expect it, and 76% get frustrated without it.
The proposed fix is unglamorous: clean data and joined-up channels delivering the right message to the right person at the right moment.
Getting it wrong trips the same trust alarm as spam.
The post sets out a three-item checklist (right message, right person, right moment), identifies itself as episode 6 in a ten-part series on customer engagement, and asks whether a brand's personalisation breaks at the data or orchestration stage.
Customer data is only worth what the loop does with it
Tom Peace argues that most brands are sitting on a goldmine of customer data and doing almost nothing with it.
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They distinguish first-party data—what customers actually do, such as purchases, visits and clicks—from zero-party data, what customers tell a brand directly, such as preferences, intentions and what they are shopping for.
The problem, they say, is that brands hoard both and act on neither.
The answer is a loop: collect it, use it, build on it, so every interaction makes the next one more relevant.
The practical sequence is to ask for a little, use it visibly and earn the right to ask for more.
The post turns the distinction into an operational habit and asks readers which single piece of customer data they collect but never use. It points to a full blog and video on the site for more.
Insight and content carry equal weight in personalisation
Tom Peace describes contributing Chapter 6 of Rasmus Houlind's Hello $Firstname AI Edition audiobook and introducing the Bowtie of Personalisation, one of the book's central models.
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The model is credited to the book and its author, Rasmus Houlind; Tom Peace contributed a chapter and reads it.
They value the Bowtie for showing how customer insight and marketing content carry equal weight.
Personalisation is not just pushing a message through a channel; it means understanding who the customer is, which moment they are in, what to say, and which content or recommendation supports that message.
The post links a chain of questions—who the customer is, which moment, what to say, which content supports it—to loyalty and CRM work, moments of truth, and first-party and zero-party data. It closes with a light Doctor Who reference and a link to the audiobook on Spotify.
Short argument, direct question, then a pointer to longer owned material
The four posts share a method and a priority: a plain-language argument, a direct question to the audience and a pointer to a fuller asset.
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The questions ask readers to share their own number or acknowledge a gap, prompting comments. The longer material ranges from video interviews to a serialised series, a blog and an audiobook.
Across the posts, formats include a video with a wallet-technology guest, episode 6 of a ten-part customer-engagement series, a full blog and video, and an audiobook chapter available on Spotify. Each post stands alone while leading into something longer.
Answers where a loyalty programme should live: in a brand’s own app or the wallet the customer already carries.
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Start here for the clearest statement of Tom Peace’s channel position and a concise example of their format: a short argument backed by a video interview.
The post argues that the best customers already have the only wallet they will ever use, and it is not the brand’s.
Apple Wallet and Google Wallet are already installed, open and on the home screen — no download, no fight for space.
Apps are expensive to build and even more expensive to get downloaded, while wallet passes are cheaper and faster to integrate, putting a loyalty programme where valuable customers already live.
Tom Peace singles out Gen Z as managing brand relationships through notifications rather than inboxes, then asks readers about their download-to-active rate and links to a video interview with Sagar Subhash of Litecard.
For brands planning a campaign
A ready-made argument for wallet-pass and loyalty-app vendors: the pitch is a channel-shift story, not a feature list. A partner could extend it into a comparison of app versus wallet economics or use the closing download-to-active question to hook a research or benchmark asset.
Answers what needs to be in place before personalisation works.
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Start here to see how Tom Peace shifts the focus from tooling to data quality and joined-up channels, and how they build a series around one idea.
The post opens with trust: every irrelevant email quietly erodes it, and brands are about to make that worse.
It cites 71% of customers expecting personalisation and 76% getting frustrated without it, then argues that personalisation is no longer a differentiator but the floor.
The fix is not a shiny AI engine but clean data and joined-up channels delivering three basics — the right message, to the right person, at the right moment.
Getting it wrong triggers the same trust alarm as spam.
Flagged as episode 6 in a ten-part series, the post ends by asking whether readers’ personalisation breaks at the data or orchestration stage.
For brands planning a campaign
The three-item checklist can be reused as an assessment or diagnostic asset for a CRM or engagement platform. The ten-part series also gives a partner a ready-made content spine, with this episode as a natural entry point for a data-quality or orchestration message.
Answers what customer data is worth collecting and what brands should do with it.
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Start here for a clear example of Tom Peace turning a simple distinction into an actionable habit and directing readers to longer owned content.
The post says most brands sit on a goldmine of customer data but do almost nothing with it, then distinguishes two valuable kinds: first-party data, what customers actually do (purchases, visits, clicks), and zero-party data, what they tell you directly (preferences, intentions, what they are shopping for).
Brands hoard both and act on neither.
The opportunity is a loop — collect it, use it, build on it — framed as asking for a little, using it visibly and earning the right to ask for more.
It ends by asking readers to name a data point they collect and never use, and points to a full blog and video on the site.
For brands planning a campaign
Useful for vendors selling preference centres, customer data platforms or insight tools because it names the gap they fill. The visible use-it-or-lose-it rule gives a partner a concrete campaign principle, while the post’s route to long-form owned content makes it a natural anchor for a co-produced blog or video.
Answers how Tom Peace thinks about personalisation as a model rather than a tactic.
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Start here for the framework they are associated with and the collaborative, editorial side of their work, which the other posts do not show.
The post describes reading Chapter 6 of Rasmus Houlind’s Hello $Firstname AI Edition for the audiobook version.
The chapter introduces the Bowtie of Personalisation, described as one of the book’s central models.
Its appeal lies in showing the equal need for customer insight and marketing content: personalisation is not just pushing a message through a channel, but understanding who the customer is, which moment they are in, what to say, and which content or recommendation supports that message.
Tom Peace connects the model to loyalty and CRM work, moments of truth, and first-party and zero-party data, signs off with a Doctor Who line, and points readers to the audiobook on Spotify.
For brands planning a campaign
Shows they can contribute authored or spoken material to a larger editorial project, not just short social posts — relevant to partnerships seeking a named framework or chapter-style asset. The insight-and-content pairing also offers a balanced brief for a campaign that needs to justify both a data investment and a creative one.
Format and audience interaction: short posts that lead to deeper material4
Digital wallets as a lower-friction loyalty channel1
Personalisation as a baseline expectation, not a differentiator1
First-party and zero-party data need a use loop, not hoarding1
The Bowtie of Personalisation as a teaching framework1
Digital wallets as a lower-friction loyalty channel
Tom Peace argues that apps are expensive to build and even more expensive to get downloaded, while Apple Wallet and Google Wallet are already installed and on the home screen.
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They present digital wallets as a cheaper, quicker way to put a loyalty programme where valuable customers already are, especially for Gen Z, who manage brand relationships through notifications rather than inboxes.
Contrasts app acquisition costs and a stated 2% app-install conversion rate with existing wallet behaviour, then asks readers to share their download-to-active rate.
Position the argument around wallet-based loyalty, without suggesting branded apps have no role in other customer relationships.
For brands planning a campaign
A loyalty-tech or CRM company can use this angle for wallet-based loyalty content: integration options, customer-experience comparisons, and honest download-to-active measurement instead of another app-install campaign.
Personalisation as a baseline expectation, not a differentiator
Tom Peace says every irrelevant email quietly costs trust, citing 71% of customers expecting personalisation and 76% getting frustrated without it.
Read more
The proposed fix is not a shiny AI engine but clean data and joined-up channels that deliver the basics: the right message to the right person at the right moment. Getting it wrong, they say, triggers the same trust alarm as spam.
Frames the issue as a trust cost, cites survey-style figures and ends with a diagnostic question about where personalisation breaks down.
For brands planning a campaign
A CRM or customer-engagement partner can position content around data hygiene, channel orchestration and personalisation basics, with a practical diagnosis of whether the problem lies in the data or the orchestration.
First-party and zero-party data need a use loop, not hoarding
Tom Peace distinguishes first-party data—what customers actually do—from zero-party data—what they tell brands directly.
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They argue that most brands hoard both and act on neither.
The win is a loop: collect it, use it, build on it and make every interaction more relevant.
The practical advice is to ask for a little, use it visibly and earn the right to ask for more.
Sets out a simple operational loop and closes by asking which piece of customer data brands collect but never use.
For brands planning a campaign
An engagement-strategy partnership can build educational content around data activation, visible value exchange and a consent-and-trust ladder that turns collected data into more relevant communication.
The Bowtie of Personalisation as a teaching framework
Tom Peace describes contributing Chapter 6 of Rasmus Houlind’s Hello $Firstname AI Edition audiobook, where the chapter introduces the Bowtie of Personalisation.
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The model shows the equal need for customer insight and marketing content. Personalisation is not just pushing a message through a channel; it requires understanding who the customer is, which moment they are in, what to say, and which content or recommendation supports that message.
Uses an authored book chapter and audiobook contribution as the setting, explains the model in practical loyalty and CRM terms, and adds a light Doctor Who reference.
For brands planning a campaign
A customer-engagement software or advisory partner can use a named, teachable framework such as the Bowtie to explain how insight, moments of truth, first-party and zero-party data, and content decisions fit together.
Format and audience interaction: short posts that lead to deeper material
The available posts are text-led LinkedIn arguments that often end with a direct question to the audience and point to a fuller video, blog, episode or audiobook.
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Examples include a video with a wallet-technology guest, a ten-part customer-engagement series, a full blog and video, and an audiobook chapter.
Combines a plain-language argument and reader question with a link to the full asset.
For brands planning a campaign
A brand collaboration can pair a short LinkedIn post or question with a longer video, podcast episode or practical guide, using the post as the entry point and the longer asset for evaluation and detail.
Tom Peace shared a video interview with Sagar Subhash of Litecard, the connected-commerce company working across Apple and Google Wallets, and contributed the chapter introducing the Bowtie of Personalisation model to Rasmus Houlind's loyalty book Hello $Firstname AI Edition.
Ask whether either connection involved payment, sponsorship or an ongoing contract.
Apple Wallet and Google Wallet are mentioned only as platforms, not as relationships.
Litecard
Mention
Tom Peace shared a video conversation with Sagar Subhash from Litecard about connected commerce across Apple and Google Wallets.
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The post links loyalty programmes to existing mobile wallets. Ask whether Litecard is a client, sponsor or partner before treating the post as evidence of a commercial relationship.
Original disclosure
New video below with Sagar Subhash from Litecard (Connected Commerce across Apple and Google Wallets).
Tom Peace contributed a chapter to Rasmus Houlind's book Hello $Firstname AI Edition, reading Chapter 6 for the audiobook and introducing the Bowtie of Personalisation, one of the book's central models.
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The post says Rasmus Houlind invited them and links to the audiobook. Ask whether the contribution was paid or part of a sponsorship or contract.
Original disclosure
I recently had the pleasure of reading Chapter 6 of Rasmus Houlind's Hello $Firstname AI Edition for the audiobook. My chapter introduces the Bowtie of Personalisation, one of the book's central models.
Tom Peace writes short, single-argument LinkedIn posts about customer loyalty, CRM and engagement, usually linking to a longer video, blog, series episode or audiobook chapter for more detail.
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Start with the wallet post, which argues that loyalty programmes belong in Apple Wallet and Google Wallet rather than behind a new app download.
Then follow the customer-engagement series: the personalisation post is episode 6 of ten, and another post distinguishes what customers do from what they tell you.
The audiobook chapter on the Bowtie of Personalisation offers the most structured account of the model.
Posts make a plain claim, ask the reader a direct question and link to more.
Loyalty programmesCRMPersonalisationCustomer engagementFirst-party and zero-party dataDigital wallets as a loyalty channelLoyalty and CRM programme strategyLinkedIn postsVideo interviews and serialised episodesLoyalty and CRM practitioners
Tom Peace argues for putting loyalty and membership passes into Apple Wallet and Google Wallet so points, tier upgrades and push notifications reach customers without an app download.
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They frame the wallet as a CRM channel that plugs into existing loyalty and eCommerce stacks. Both write short, point-led LinkedIn posts and take part in the same conversation: Tom's wallet post features Litecard's Sagar Subhash, while Lee McDermott's posts carry the same Litecard and Sagar Subhash tags.
Lee McDermott's posts are product and event updates: a feature list for wallet passes, an integration note and recognition at the Dotdigital Summit.
Tom Peace builds an argument and ends with a question for the reader.
Lee's posts offer the feature detail; Tom's make the case for wallet loyalty.
Tom Peace and Laurent Guinand address the same audience and topics: loyalty programme economics, retention, growth and CRM.
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Both also teach through named frameworks.
Tom has the Bowtie of Personalisation; Laurent has dual-system thinking and two economic engines running at once.
Each turns a model into practical steps for programme managers.
Laurent Guinand focuses on the budget conversation: KPI choices, ROI figures and the case that loyalty is strategic infrastructure rather than a marketing cost.
Tom Peace stays closer to customer-facing mechanics: which channel, which data, which moment.
Read Laurent for a case to take upstairs; read Tom to decide where and how to reach customers.
Tom Peace shares Yotpo's belief that loyalty fails when it is invisible at the moment of decision.
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Yotpo's Spotlight puts points, rewards and calls to action into the purchase flow, echoing Tom's argument for showing up in the wallet and through notifications rather than asking customers to return to a programme. Both write about loyalty alongside CRM, engagement and measurement.
Tomer Tagrin writes as a company leader announcing shipped product and platform results — AI visibility gains, login and redemption uplifts, and a Shopify-native widget — so the posts deliver product news as well as ideas. Tom Peace develops a position across channels and data, with no product to launch and a question for the reader instead of a feature announcement.
Tom Peace’s posts focus on loyalty, CRM, personalisation and customer engagement, making their subject matter relevant to a loyalty-tech or CRM partnership.
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Before deciding, request recent LinkedIn audience demographics and engagement results, plus documented audience survey data if the campaign depends on members’ roles, employers or seniority.
Tom Peace’s LinkedIn posts show how they collaborate: hosting video conversations with loyalty-technology vendors and contributing original frameworks to other people’s products.
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A July 2026 post promotes a new video with Sagar Subhash of Litecard on running loyalty through Apple and Google Wallet, framed as Peace’s argument for wallet-based loyalty rather than a vendor pitch.
A separate post describes reading and narrating Chapter 6 of Rasmus Houlind’s Hello $Firstname AI Edition, introducing the “Bowtie of Personalisation” model, one of the book’s central models, and linking to the audiobook on Spotify.
Peace also runs recurring explainer series, including a ten-part customer-engagement series with full video and blog published on their own site.
For a loyalty-tech or CRM vendor considering a content partnership or advisory role, the posts point to guest-expert appearances and contributed frameworks, with the vendor providing access to a product or practitioner and Peace providing analysis and distribution.
The posts don’t say who paid for what or whether Peace accepts paid partnerships; ask about fees and availability directly.
Strong fit for advisory work or co-produced educational content about loyalty, CRM and personalisation.
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Brief
A loyalty-tech or CRM software company wants to assess Tom Peace for a content partnership or advisory role on customer engagement strategy.
Reasons
The posts give a clear, repeated point of view on customer engagement: loyalty should meet customers in wallets they already carry; personalisation is now a baseline, not a differentiator; and first-party and zero-party data pay off only when brands close the loop between collecting and using it.
Tom Peace works in formats a software or advisory partner can use: short LinkedIn arguments that lead to longer videos, blogs and episodes; a ten-part customer-engagement series; and video conversations with loyalty-technology practitioners.
Peace has also contributed an authored framework to someone else's product: the Bowtie of Personalisation in Rasmus Houlind's Hello $Firstname AI Edition audiobook. That supports a partnership where the vendor supplies access to a product, practitioner or dataset, and they supply analysis, explanation and distribution.
The content stays at the level of strategy and practical diagnosis, suiting a partner that wants to be associated with customer-engagement thinking rather than a single feature list.
What would change it
Ask whether Tom Peace accepts paid partnerships; the posts publish no sponsorship policy, rate card, media kit or inquiry route.
Request recent audience demographics and engagement results before proceeding.
Agree a written scope for any advisory role, including who owns the frameworks and content produced.
When to choose a specialist
Poor fit based on the posts.
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Brief
A retail or consumer brand wants a high-volume paid social campaign to drive app installs and measurable sales from a broad consumer audience, using guaranteed reach and conversion targets.
Reasons
The public position runs against the core ask. Tom Peace argues that the best customers already have the wallet they need, and that apps are expensive to build and even more expensive to get downloaded. A brief centred on app installs would contradict the argument the content makes.
The posts show no paid product endorsements, direct-response promotions, short-form entertainment or lifestyle content for a consumer brand. The formats shown are explainer posts, video interviews, a series, a blog and a contributed audiobook chapter.
Request audience-composition and performance details before committing; the posts publish none, and an account-level follower count does not show who the audience is, where they work or how they respond to commercial content.
Ask for a rate card, sponsorship package, media kit and inquiry route; none is published, so a direct-response campaign with guaranteed reach or sales cannot be scoped or priced from this evidence.
What would change it
Documented paid sponsorship or endorsement examples with commercial results.
Audience demographics and engagement data that match the target consumer segment.
A brief aligned to wallet, loyalty or CRM education rather than app installs or direct sales.
A worked campaign example
Angle
Where should the loyalty programme live? Build a decision guide around the app-versus-wallet argument, then widen it to cover the data and personalisation basics that determine whether the channel works.
Brief
A loyalty-tech vendor wants a co-produced content partnership built around customer-engagement strategy, using Tom Peace as the analyst and host.
Deliverables
One anchor LinkedIn post framing the app-versus-wallet problem, in the style of the existing wallet post, with a direct question to readers about download-to-active rates.
One recorded interview with the vendor's practitioner or customer, following the pattern of the existing video conversation with Sagar Subhash of Litecard.
One portable diagnostic or worksheet based on the three basics already in the content: the right message, to the right person, at the right moment.
One long-form explainer, blog or episode connecting the wallet argument to the first-party and zero-party data loop and the Bowtie of Personalisation model.
One short explainer segment showing how customer insight and marketing content carry equal weight in the Bowtie, using a worked example rather than a feature walkthrough.
How it works
The vendor supplies access to a product, practitioner or real diagnostic dataset. Tom Peace supplies the analysis, framing and distribution.
The content should not read as a product pitch. The existing posts work because they make an argument first, then point to a longer asset.
Measure what the content is designed to produce: diagnostic completions, qualified inquiries, replies identifying whether personalisation breaks at the data or orchestration stage, and evidence that viewers reach the long-form asset.
Next steps
Confirm in writing whether Tom Peace accepts paid partnerships and on what terms.
Request audience demographics, recent engagement results and examples of previous sponsored content.
Agree which frameworks, if any, the vendor may reuse and where the long-form asset will live.
Set a measurement plan before publication. Do not guarantee reach or sales targets unless they are separately supported by evidence.
Choose Lee McDermott when the campaign decision is narrower and channel-led: the vendor already sells a wallet or pass-based loyalty capability and wants a partner whose recent output is about putting loyalty into Apple Wallet and Google Wallet without an app download.
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The two posts describe live mechanics — points balances updated automatically, tier upgrades reflected instantly, personalised rewards, geo-location pushes near a store, lock-screen notifications — and place the work inside a named partner ecosystem, including recognition as Dotdigital's Innovation Partner of the Year 2026. That is more concrete on wallet operations than Tom Peace's posts, which make the case for wallets in principle and point to a separate video and product conversation for detail.
The tradeoff is range.
These posts read as product and partner announcements rather than independent strategy commentary, so less of their content carries over to an educational explainer on programme economics or the loop between collecting customer data and using it.
A vendor that needs an outside voice to argue where personalisation breaks — data or orchestration — gets more from Tom Peace than from a walkthrough of pass features.
Choose Laurent Guinand when the campaign has to win an internal budget conversation rather than a channel decision.
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Both posts give loyalty managers language and numbers to take upstairs: members who redeem rewards spending multiples more over their lifetime, most companies reporting positive programme ROI, Starbucks Rewards contributing close to 60% of company revenue, and a two-engine model that separates a retention-and-efficiency engine from an acquisition-and-growth engine. The author credit on a book titled Strategic Loyalty, with a cited chapter on KPIs, programme economics and making the case to a CFO, is a credential absent from Tom Peace's posts.
Personalisation and channel mechanics appear mainly as labels inside the dual-system model, where Tom Peace walks through first-party versus zero-party data and a collect-it, use-it, build-on-it loop. The financial figures are attributed to outside reports and a company update; a partnering vendor should verify them and confirm reuse rights.
Choose Tomer Tagrin when the decision is about a commerce platform roadmap and the buyer needs a partner whose own product output can be shown.
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The posts announce shipped work with numbers attached: customer review photos syndicating to retail partners, AI-answer visibility tracked post by post with a reported 32.6% awareness-stage lift for one customer, and a Shopify loyalty widget reported at a 30% uplift in logins with a 20–40% increase in redemptions and a quarter of purchases happening within minutes of a redemption. For a vendor whose content must demonstrate that the product ships and performs, those results are more directly usable than Tom Peace's argument-led posts, which point readers to longer assets rather than results.
The tradeoff is voice and subject fit.
These read as company announcements for a commerce platform spanning reviews, AI discovery and loyalty, with little of the individual practitioner viewpoint a co-branded advisory piece depends on.
The loyalty content is aimed at retail and e-commerce shoppers, while the customer-engagement partnership for a loyalty-tech or CRM vendor addresses a different need.
If the deliverable needs an independent analyst explaining why a programme fails, Tom Peace's posts on data and orchestration address that question more directly.
Tom Peace's four complete LinkedIn posts cover loyalty programmes, CRM, personalisation, first-party and zero-party data, and digital wallets, including Peace's account of contributing the Bowtie of Personalisation chapter to Rasmus Houlind's Hello $Firstname AI Edition.
The posts have no dates, so they do not show how Peace's work or themes have changed over time.
The videos, blogs, series episodes and audiobook chapters linked in the posts are not available here to read or watch, so they are described only as the posts themselves present them.
Sections comparing Peace with other creators draw on those creators' publicly posted LinkedIn material, which carries dates from March to October 2026.
The posts here do not state audience demographics, engagement results, sponsorship terms, rates or inquiry routes, so commercial fit is judged from subject matter and format rather than proven reach or pricing.
Two brand connections are stated because Peace names them in the posts: a video conversation with Sagar Subhash of Litecard, and the contributed chapter in Rasmus Houlind's book.
Neither post states payment or an ongoing contract, and no employer or owned business is documented.
