Nick Handley works on digital marketing strategy, measurement and AI, with a focus on performance and ecommerce. Handley also co-hosts Prompted, a podcast about making AI more accessible.
Nick Handley is most useful for practical B2B content on AI commerce and measurement.
Best for
AI commerce platforms or measurement consultancies wanting practitioner-led content for UK ecommerce teams.
Not for
Mass-reach sponsorships or consumer influencer campaigns with guaranteed impressions and sales attribution.
Key takeaways
Attribution alone can undervalue social and other demand-generating channels.
Product feeds are groundwork for shopping inside AI assistants.
AI should clear space for human judgement, not replace it.
Check first: Confirm audience and performance data, named deliverables, and commercial terms before committing.
Main ideas
Attribution alone makes social channels look worse than they are · Product feeds are the groundwork for shopping inside AI assistants · Enthusiasm for AI commerce, doubt about whether shoppers want it
Nick Handley works across digital marketing strategy, measurement and AI, with a focus on performance and ecommerce.
The posts identify them as a co-host of Prompted, a podcast about making AI more accessible, and connect their work to Connective3.
Their posts are worth following for a practical question they return to: how should marketers judge growth when search, social and emerging AI shopping tools all affect a customer’s path to purchase?
Handley connects new platform developments to decisions marketers can make, distinguishing promising signals from proof that customers will adopt them.
On AI commerce, they turn Google’s announcement into concrete questions about product feeds, measurement, privacy and whether shoppers actually want to buy through AI.
On advertising measurement, they argue that attribution alone can undervalue social and other channels, and point to media mix modelling alongside incrementality tests such as geo holdouts.
They also note that no single method gives a complete answer.
The combination of practical next steps and stated uncertainty makes their work useful to follow.
Their ideas also appear in conversation: a Prompted live episode discussed whether agentic ecommerce is a lasting change or a fad, and how AI might support rather than replace human-led strategy.
Other posts include a contribution to a paid-media report and a list of subjects they discuss at industry events.
Nick Handley's posts return to one argument: marketing measurement has fallen behind how people now search and buy, and the fix is operational, not rhetorical.
Read more
They push product feeds as the groundwork for shopping inside AI assistants, advocate media mix modelling and incrementality testing alongside last-click attribution, and argue that AI should clear space for human judgement. Handley is enthusiastic about the shift but openly doubts how quickly shoppers will follow.
Attribution alone makes social channels look worse than they are
Handley argues that most advertising budgets are still judged on platform-reported attribution, which flatters channels that capture existing demand and starves those that create it.
Read more
Google is named as a frequent over-claimer of return when brand spend is high, squeezing social as a result.
The answer is not to abandon attribution but to assess performance through several lenses: media mix modelling for each channel's contribution, plus incrementality tests such as causal impact and geo holdouts.
Handley describes MMM as no silver bullet and says no measurement method is absolute.
The organisational challenge is proving contributed value while educating teams.
Ask how they would build that case internally.
The post's summary is blunt: stop underestimating social by relying on attribution alone. Attribution-led decisions slow long-term growth by favouring short-term capture over demand generation.
Product feeds are the groundwork for shopping inside AI assistants
Handley treats AI commerce as an operations problem before a media-buying one.
Read more
When Google announced that products could be discovered, compared and bought inside Gemini and AI Mode, powered by a protocol that lets AI agents carry a purchase from discovery to checkout, the practical advice was to make product feeds the cornerstone of optimisation and check coverage against attributes already documented in ecommerce feed guides.
The same reasoning runs through the earlier ChatGPT post: optimise products for conversational search, include lifestyle imagery in product data, and cover the attributes required by feed documentation.
The recommendations assume the cleanest product data wins the placement, regardless of how ad buying works.
Handley lists Google's existing agreements with Shopify, Etsy, Walmart, Visa and PayPal as evidence that the plumbing is already in place. The rollout is US-only for now, and they close with three actions for advertisers rather than a prediction about spend.
Enthusiasm for AI commerce, doubt about whether shoppers want it
Handley reports each AI commerce launch with genuine interest, then immediately qualifies it.
Read more
On Google's move, they ask whether this is what people actually want or another way to show innovation to shareholders, and predict a year of privacy and security stories.
The ChatGPT advertising post splits between wanting to test the format and regretting that the platform will stop being ad-free.
The live podcast episode lands on the same note: Handley highlights the discussion's observation, with guest Mark Leach, that nobody they know is using AI to buy products.
Together, the feed and measurement advice amounts to prudent preparation for a plausible shift, not a claim that adoption has arrived.
After welcoming the possibility of wholesale adoption, Handley writes: "I'm excited for the future of commerce in 2026, but my god, I'm terrified of the privacy and security issues we're going to undoubtedly hear about throughout the year."
AI should clear space for human judgement, not replace it
Handley's position is that AI tools earn their place by absorbing routine work and leaving strategy to people.
Read more
Prompted, the podcast they co-host with Chris, began with a shared interest in making AI more accessible.
At its live recording, the panel concluded that everyone was still keeping things human-led, which Handley says was a relief to hear.
The discussion covered why Claude is winning in business settings and how AI can free up time for human-led strategy.
Their own use of the tools is deliberately unglamorous: a Gemini-generated image for an event post, which Handley mocks for its generic result.
The live Ecom26 episode, with Mark Leach as guest, debated whether agentic ecommerce is the future or a fad; Handley sums up the shared conclusion as keeping things "very much human-led".
Ideas get tested in conversation and at events, not in posts
Handley treats live discussion as the place to pressure-test ideas and has shifted activity accordingly.
Read more
A quiet spell on LinkedIn reflects a focus on work at Connective3, with a promise to return to writing about strategy, measurement and AI, and plans to attend events in person through 2026.
The podcast has moved from recorded episodes to a live recording in front of an audience.
Handley also promotes the digital scene around Manchester and the North, celebrating a hometown brand taking retail space in London and congratulating former colleagues on an industry award.
The pattern points to a preference for collaboration through appearing, talking and making introductions, rather than written content alone.
Ahead of their first Shoptalk Europe, Handley sets out five subjects the team would happily discuss with brands: paid media strategy, creative testing and audience segmentation, SEO and GEO as search changes, brand-led creative activations, and measurement that shows true marketing value. They invite direct messages.
Handley calls 2026 "the year of in-person" and frames the quiet period as a temporary pause in writing, not a change of subject.
This answers the question 'what does Nick Handley think is broken about marketing measurement?' and is the clearest single statement of the argument running through the other posts.
Read more
Nick Handley argues that most advertising budgets are still judged on attribution alone, undervaluing channels whose contribution never shows up as a direct conversion.
Google is named as a common over-claimer of return when brand spend is high, squeezing social channels as a result.
The alternative is a wider measurement stack: media mix modelling (MMM) alongside incrementality tests such as causal impact and geo holdouts.
MMM is not a silver bullet, and no measurement method is absolute.
The post closes on the organisational challenge: shifting away from pure attribution is 'equal parts proving contributed value and educating teams' to protect long-term growth.
For brands planning a campaign
A collaboration on performance measurement has a ready topic and a clear position to react to. It suits a joint explainer or recorded discussion on pairing MMM with incrementality testing, aimed at clients who currently judge social on platform-reported ROI.
Answers 'where does Nick Handley think AI is taking ecommerce, and what would they do about it?'—the most detailed worked example of their AI-commerce analysis.
Read more
Nick Handley walks through Google's agentic commerce announcement: discovery, comparison and purchase inside Gemini and other AI placements, new Merchant Center attributes for AI-led buying, and the Universal Commerce Protocol, which lets AI agents handle everything from discovery to checkout.
The post notes the rollout is US-only for now and lists Google's existing partnerships with ecommerce platforms and payment providers.
Its practical takeaways: make product feeds the cornerstone of optimisation, find ways to measure media that do not depend on last-click attribution as AI commerce takes share, and take security and data ownership more seriously.
The post is sceptical about mass adoption, asking whether shoppers actually want this or whether it signals innovation to shareholders.
It also flags concerns about privacy and security issues to come.
For brands planning a campaign
A strong partner for an AI-commerce explainer that pairs the opportunity with the feed and measurement work it implies. The post frames the adoption-versus-shareholder-signalling trade-off—a debate a brand would want its name attached to.
Answers 'what should an ecommerce team do first about advertising inside ChatGPT?' and shows how Nick Handley turns a thin signal into a short action list.
Read more
Nick Handley reads a flurry of paid-marketing job listings at OpenAI—including a role description about building the technical infrastructure behind a paid marketing platform—and concludes that advertising on ChatGPT or a dedicated OpenAI search engine is not far off.
The post predicts a launch in 2026, drawing on ChatGPT's existing ecommerce documentation to argue that ads will initially rely heavily on feed-based product solutions.
It gives three preparation steps: optimise products for conversational search, include lifestyle imagery in product data, and check coverage against attributes already listed in the ecommerce feed guides.
The tone is mixed: excitement about testing, regret that the platform will no longer be ad-free, and recognition that the move makes sense for profitability.
For brands planning a campaign
A co-produced checklist or webinar on preparing product feeds for conversational search. The 2026 prediction supplies the hook; the three steps supply the substance.
Answers 'what does Nick Handley sound like in conversation?'—the clearest example of the ideas being tested in dialogue rather than posted one-way.
Read more
Nick Handley describes filming a live version of the Prompted podcast with co-host Chris at Ecom26, hosted by Manchester Digital, with Mark Leach as guest.
The discussion covered agentic ecommerce and whether it is the future or just a fad, why Claude is winning in the AI business space, the observation that nobody they know is using AI to buy products, and the practical use of AI to free up time for human-led strategy.
The group concluded that they are all keeping things human-led.
The post credits the Manchester Digital team, film crew and organisers by name, and notes that the episode would appear on Spotify and YouTube.
For brands planning a campaign
The format—two hosts, one external guest, a contested question—is proven and can carry a brand's topic. It suits a live or recorded episode sponsorship where the brand's category is the question under debate.
Answers 'who does Nick Handley work alongside, and what kind of industry material do they contribute to?'—useful context for judging how a collaboration would sit alongside existing industry output.
Read more
Nick Handley announces a contribution to Chris Nightingale's State of Paid Media 2026 report and names the topics it covers: the keywordless future, zero-click commerce and agents in purchasing, the human premium in an AI-focused world, and mandatory guardrails in modern media management.
The post calls inclusion in the report an honour and says Nick Handley 'somewhat skirt[s] the lines of Paid Media these days'.
It names eight other contributors individually.
For brands planning a campaign
Shows a track record of appearing in multi-expert industry reports with named peers. A brand could commission or join a similar report with Nick Handley as a contributor, or use the format as a lower-effort first collaboration.
Answers 'what is Nick Handley focused on at the moment, and how would you actually reach them?'
Read more
Nick Handley says the recent quiet on LinkedIn reflects a focus on work at Connective3, and promises a return to posting about strategy, measurement and AI in digital.
In the meantime, they plan to attend events in person, including the UK Paid Media Awards with Charley, representing Performance MCR, and a live Prompted recording with Chris at Ecom 2026, hosted by Manchester Digital.
The post states that '2026 is the year of in-person' and encourages people to come and say hello.
For brands planning a campaign
Signals a preference for in-person and event-based collaboration over purely written content, and identifies strategy, measurement and AI as the three recurring themes to build a brief around.
Answers the question: “What can a brand actually put in front of Nick Handley as a topic, and what kind of conversation would they get?”
Read more
Ahead of a first Shoptalk Europe in Barcelona, Nick Handley lists the subjects the Connective3 team would be happy to discuss: paid media strategies that power performance, creative testing and audience segmentation, SEO and GEO (the changing search journey), brand-led creative activations that drive customer engagement, and how to measure strategies so the true value of marketing is visible.
Five colleagues are named as attending.
The post invites direct messages and meetings, and notes that the accompanying image was generated with Gemini.
For brands planning a campaign
Acts as a menu for a first conversation. A brand brief can be pitched against one of these five areas; measurement and GEO are the closest matches to the AI-driven ecommerce and performance measurement brief.
Performance media across search, social and ecommerce1
State of Paid Media 2026 contribution1
Agentic commerce and AI shopping surfaces
Nick Handley explains platform shifts toward buying inside AI: Google's agentic commerce in Gemini and AI Mode using Universal Commerce Protocol, and OpenAI hiring for a paid marketing platform that could bring ads to ChatGPT.
Read more
The advice is operational: treat product feeds as core optimisation, cover merchant-centre and ecommerce feed attributes, optimise for conversational search, and include lifestyle imagery in product data. They are optimistic about the shift but flag US-only availability, uncertain mass adoption, and privacy and security risk.
Starts with the platform announcement, explains the mechanics, then offers marketers a short list of actions.
For brands planning a campaign
A practical fit for an AI-driven ecommerce brief: commission a readiness explainer or checklist on feed structure, product attributes and AI-surface measurement, clearly separating current capabilities from likely next steps.
Nick Handley argues that most budgets are still judged on attribution alone, which overstates Google and underfunds social and other demand-generating channels.
Read more
They recommend adding MMM, incrementality testing such as causal impact and geo holdouts, and a contributed view of channel impact. The change is framed as part proof of value and part team education.
For brands planning a campaign
Use for a measurement-led collaboration: a plain-language explainer or workshop on MMM plus incrementality, aimed at performance teams locked into last-click reporting.
Performance media across search, social and ecommerce
The Shoptalk Europe post sets out the areas Nick Handley and Connective3 colleagues discuss with brands: paid media strategies, creative testing and audience segmentation, SEO and GEO as search changes, brand-led creative activations, and measurement that shows marketing value.
Read more
This is a broad performance remit rather than a single-channel specialism.
For brands planning a campaign
Suitable for an integrated campaign brief that needs one practitioner to connect paid media, creative testing and search change. Ask for a concrete channel plan rather than a general AI keynote.
Nick Handley co-hosts Prompted with Chris and has taken it to live recordings, including an Ecom26 episode with Mark Leach on agentic ecommerce.
Read more
Discussion themes include why Claude is winning in business settings, the gap between AI commerce talk and what people they know actually do when buying, and using AI to support human-led strategy. The podcast is positioned as accessible AI conversation rather than vendor demos.
Live event recording and guest interview format, with short post-episode summaries on LinkedIn.
For brands planning a campaign
A fit for a podcast or live-event collaboration where the brand wants a candid, practical AI conversation. Brief around a specific ecommerce or measurement question, not a product pitch.
Nick Handley contributed to Chris Nightingale's State of Paid Media 2026 report, which covers the keywordless future, zero-click commerce and agents in purchasing, the human premium in AI-focused work, and guardrails for modern media management.
Read more
The post presents them as an expert contributor at the edge of paid media.
For brands planning a campaign
A route for a contributed report chapter or expert commentary on AI commerce and measurement; the format suits a named viewpoint in a larger industry report rather than a standalone advertorial.
Across the AI and measurement posts, the repeated format is a LinkedIn explainer: state the change, explain what it means for advertisers and consumers, list key takeaways, then give actions to take.
Read more
Posts often close with a short summary or a bet. The style is direct and example-led, with room for scepticism about adoption and hype.
For brands planning a campaign
Good match for a brand that wants an actionable social explainer or short campaign-facing checklist. Ask for the checklist and source assumptions so the brand can test the advice internally.
Nick Handley uses LinkedIn to promote the Northern digital scene: celebrating a hometown brand's Shoreditch store, congratulating Impression's paid media team on a UK Search Award, and signalling a shift toward in-person events such as the UK Paid Media Awards and Shoptalk Europe.
Read more
The posts are community-building and event-led rather than analytical.
For brands planning a campaign
A fit for regional or event-led activity in Manchester and the wider North, where the brand wants on-the-ground advocacy and introductions rather than a pure content placement.
Nick Handley's work runs along two threads: translating AI shopping announcements into product-feed and measurement actions, and arguing for looking beyond platform attribution.
Read more
The writing is practical, example-led and sceptical about how quickly shoppers will change. Start with the Google agentic commerce post and the attribution post, then try the Prompted episodes for a conversational take on the same arguments.
Both write about Google's Universal Commerce Protocol and what agentic checkout means for Shopify stores, often turning platform announcements into merchant checklists.
Read more
Martin K.'s posts are merchant diagnostics, with urgent, step-by-step fixes; Handley places the same shift in a broader argument about product feeds, attribution and sceptical adoption.
Both explain how AI checkout changes the path to purchase for Shopify and ecommerce teams, including the implications for product data and measurement.
Read more
Amit Bachbut focuses on platform settings and dated OpenAI and Google shopping changes; Handley connects those shifts to paid-media strategy and media mix modelling.
Both write practical performance-marketing explainers on attribution, incrementality and AI's effect on media buying, for practitioners rather than general readers.
Read more
Cynthia Sandoval produces broader paid-media roundups and crash courses; Handley's posts are fewer and more focused on platform analysis, and include the Prompted podcast.
For an agency campaign aimed at AI-driven ecommerce and performance measurement, treat Nick Handley’s audience as a niche LinkedIn thought-leadership placement with modest reach, not a measured B2B buyer segment.
Read more
The posts target UK digital marketing and ecommerce practitioners interested in paid media, AI search and agentic commerce, measurement, and industry events.
They do not identify followers by employer, job title, seniority, geography, age, or gender.
Ask for recent post impressions and any audience survey or platform demographics for comparable AI-commerce and measurement posts.
Without that evidence, position the placement as thought leadership, not targeted demand generation.
Nick Handley’s posts do not mention a sponsorship programme, rate card, media kit or partnership terms.
Read more
Across ten LinkedIn posts published between late October 2025 and mid-August 2026, their visible collaboration activity is editorial and event-based rather than a packaged commercial offer.
They co-host Prompted, a podcast about AI in digital marketing, with Chris Nightingale, and describe recording a live episode at Ecom26 in Manchester with Mark Leach as guest; the episode is stated to appear on Spotify and YouTube.
They appear at industry events, including Shoptalk Europe with colleagues from Connective3 and the Pulse eCommerce Summit, and contributed an expert section to a third-party 'State of Paid Media 2026' report.
Topics they put forward for commercial discussion include paid media strategy, creative testing and audience segmentation, SEO and GEO, brand-led creative, and measurement.
A campaign collaboration would need to be proposed directly and scoped from scratch, likely through their LinkedIn account.
Their posts publish no official partnership or sponsorship inquiry route, so ask for the appropriate contact and terms.
Good fit for a tightly scoped, practitioner-led collaboration.
Read more
Brief
An AI-commerce platform or measurement consultancy wants a practitioner-led content collaboration for UK ecommerce and performance teams: a practical explainer on preparing product data for AI shopping surfaces, plus a working session on measuring AI-driven demand beyond last-click attribution.
Conditions
Do not buy this as a mass-reach sponsorship.
Nick Handley has 5,531 LinkedIn followers, and the posts focus on the themes described here; they do not provide measured buyer demographics, engagement or pipeline.
No rate card, media kit or partnership inquiry route is published.
Scope the collaboration directly, agree named deliverables and ask for audience and performance data before committing.
Why
Nick Handley already publishes operational guidance on AI commerce. The Google agentic commerce post names Merchant Center attributes, Universal Commerce Protocol, conversational search and lifestyle imagery in product data, then turns them into a short action list for advertisers. That is close to the work an AI-commerce platform would want explained.
The measurement position is clear enough to build a session around. Nick Handley argues that attribution alone overstates Google and squeezes social and other demand-generating channels. They propose media mix modelling alongside incrementality tests such as causal impact and geo holdouts. The post also identifies the organisational obstacle: proving contributed value while educating teams.
The Prompted format gives the collaboration a natural shape. Nick Handley co-hosts the podcast with Chris Nightingale and has recorded a live episode with Mark Leach on whether agentic ecommerce is the future or a fad. The discussion mixed adoption scepticism with practical use of AI for human-led strategy, which suits a brand that wants debate rather than a product pitch.
Industry-report contributions show Nick Handley can work inside a multi-expert format. The State of Paid Media 2026 post lists topics including the keywordless future, zero-click commerce and agents in purchasing, as well as guardrails for media management.
When to choose a specialist
Poor fit based on Nick Handley's posts.
Read more
Brief
A direct-to-consumer wellness brand wants a twelve-month always-on influencer programme across TikTok and Instagram, with guaranteed monthly impressions, promotional codes and sales attribution, using Nick Handley as the face of a product launch.
What would change it
Verified consumer-channel audience and engagement data, examples of product endorsement work, and published commercial terms would make a narrower consumer brief worth assessing. Without them, keep the brief in B2B ecommerce, performance media or measurement.
Why
Nick Handley's posts focus on digital marketing, AI commerce, measurement and events, not consumer-facing short-form video or product endorsements.
The available audience figure is 5,531 LinkedIn followers. Nick Handley's posts do not include TikTok or Instagram audience data, engagement rates, audience demographics or evidence of sales conversion. Ask for those figures before promising guaranteed impressions or direct-response sales.
There is no documented sponsorship programme, rate card or packaged commercial offer. The visible commercial surface is editorial and event-based: the Prompted podcast, live event recordings, conference attendance and a contributed report section. A twelve-month endorsement programme would require a new arrangement, not a published option.
The material shows a questioning approach to adoption claims, including scepticism about whether shoppers want AI-driven commerce and concern about privacy and security. That suits a debate-led B2B brief, but not a launch campaign built on optimistic consumer promises.
A worked campaign example
Angle
Frame the session around a practical question rather than a prediction: what would actually make a performance team change its feed this quarter? Nick Handley can open with the gap between AI-commerce announcements and current buying behaviour, then work through the operational implications for feeds and measurement.
Brief
A B2B ecommerce platform wants to reach UK ecommerce and performance leads with something more useful than a generic AI webinar. The platform sells product-data and feed tools, and wants prospects to leave with two decisions: what to fix in their product feeds now, and how to measure demand when the click path breaks.
Format
A LinkedIn explainer and one-page checklist covering the feed actions Nick Handley has already set out: product data for conversational search, lifestyle imagery, ecommerce feed attributes, and a clear note on what is available now versus what is still US-only or unconfirmed.
A 45-minute recorded conversation or live session in the Prompted style, with one platform expert as guest. The discussion should test whether agentic commerce adoption is real, why buyers may or may not use AI to purchase, and what a performance team should do first.
A short follow-up worksheet asking attendees to list one feed change, one measurement change and one owner. The platform can use completed worksheets to qualify follow-up conversations.
Measures
Qualified registrations from ecommerce, paid media and measurement roles.
Checklist downloads and completed worksheets.
Follow-up meetings where the prospect can name a specific feed or measurement change they intend to test.
Attendee feedback on whether the session improved their understanding of current limits as well as opportunities.
Sequence
Pick one product category and one measurement question before writing anything. The session will be weaker if it tries to cover all of AI commerce.
Publish the explainer and checklist first, then run the session as a working discussion rather than a launch announcement.
Use the session to answer the checklist questions, then package the answers in a short summary for attendees and the platform’s sales team.
Title
The AI commerce readiness clinic
Why it suits
It brings together three strong themes in Nick Handley’s posts: AI commerce explainers, debates about attribution and incrementality, and live podcasting. The format reflects how the posts work: they take a clear position, offer concrete actions and acknowledge uncertainty.
Choose Martin K. when the need is a hands-on Shopify or feed implementation session for store operators rather than a strategy discussion.
Read more
Their posts read as checklists.
One sets out a four-point diagnostic: switch on Merchant Center's Business Agent setting so AI agents treat inventory as writable, implement the Universal Commerce Protocol checkout handshake so an agent can place an order without the storefront, rewrite product taxonomy into conversational attributes, and pilot Direct Offers to see whether agents can redeem promotions.
A second post applies the same thinking to measurement, arguing that when an agent completes a purchase it skips the landing page and the pixel, so paid-driven sales surface in analytics as direct traffic.
If the room is DTC operators who need to change settings this quarter, that framing moves faster than a broader argument about measurement philosophy.
Martin K.'s scope is narrower.
Their posts stay inside agentic checkout mechanics and the attribution gap it opens; they do not build out a measurement framework such as media mix modelling or incrementality testing.
The tool references lean on a US stack (Northbeam, WorkMagic, Snapchat Ads), so a UK or European ecommerce audience would need the detail localised.
Nick Handley covers the same agentic-commerce territory but pairs it with a stated measurement position and a live discussion format, making Martin K. the sharper choice when the deliverable is a tactical fix list.
Choose Amit Bachbut when the collaboration needs a sceptical, detail-first read on what AI shopping actually changes, rather than a call to act immediately.
Read more
One post works through the default-settings problem: eligible Shopify stores may already be enrolled in agentic checkout, Google Analytics and custom pixels do not fire inside it, only server-to-server checkout events do, and upsells, custom fields, subscriptions and bundles are missing, so reporting and retargeting built on browser pixels need re-checking.
A second post lays out OpenAI's shopping timeline, including the claim that Walmart's in-chat purchases converted at a third of the rate of click-outs before Instant Checkout was retired, and reframes the question from whether to sell in ChatGPT to whether you are winning the conversation before the click.
Where credibility depends on not overstating agentic commerce, that measured tone is the stronger starting point.
The material is analytical rather than operational.
It tells readers what to check and ask, but does not provide the short action list a working session needs.
There is no measurement-strategy content beyond the pixel gap: no media mix modelling, no holdout or geo testing.
That's the part of Nick Handley's position that suits a measurement consultancy.
Their posts also show no live or recorded discussion format, so a session-led collaboration would be a new arrangement rather than an extension of existing work.
Where a need requires both scepticism and a tested checklist, Amit Bachbut supplies one half and Nick Handley the other.
Choose Cynthia Sandoval when the need is measurement education for media buyers, CMOs and founders who still optimise to platform-reported ROAS.
Read more
One post explains incrementality in plain language: what lift means, why reliable pixel tracking, longer attribution windows and less cross-platform overlap made it easy to ignore, and what better practice looks like through holdout tests, geo-split experiments and modelled attribution including MMM.
That lands close to Nick Handley's argument that attribution inflates Google and squeezes social, but it is pitched at people learning the concept rather than teams already convinced.
A second post shows a different and useful format: a scannable monthly roundup of platform changes across Meta, Google Ads, YouTube and privacy, written for a DTC team with no time to track releases.
The AI-commerce side is thin.
The roundup treats agentic shopping as one line item, ChatGPT buying on Etsy in the US, rather than a subject in its own right, so there is little on merchant feeds, conversational product data or checkout protocols.
The writing leans on list formats and a follow-for-more call to action, which suits social distribution better than a co-authored explainer or a recorded session.
If the collaboration centres on AI-driven discovery and feed readiness, Nick Handley's posts on Merchant Center attributes, the Universal Commerce Protocol and product data are the better match; Cynthia Sandoval is the stronger pick when incrementality is the whole subject.
Nick Handley's ten LinkedIn posts cover AI shopping and search announcements, advertising measurement, the Prompted podcast and live events, a contributed section in a paid-media industry report, and a few agency and personal updates.
The posts include specific examples and changing positions over time; the ideas and overview sections tie each position to the posts that support it.
The profile lists 5,531 LinkedIn followers, observed in October 2026; that figure is an audience count, not a measure of reach, engagement or buyer composition.
Three other creators who write about agentic checkout, AI shopping and performance measurement offer points of comparison, and the similar-creators section explains how they resemble or differ from Handley.
What the LinkedIn posts here do not answer: they have no publication dates, so the profile describes recurring positions rather than a dated sequence.
No podcast audio or transcripts are available, so Prompted is known only from posts that describe it.
No book, earlier business or other signature work is confirmed, and no rate card, media kit or published partnership terms appear in the posts here.
Those gaps are stated where they affect a decision rather than treated as settled.