Di Lyngholm is a retail e-commerce product and growth leader focused on personalization. Lyngholm says they joined Malachyte as VP of Product and Growth after a decade working across brand, web experience, CRM, and operations at FUN.com and HalloweenCostumes.com.
Di Lyngholm is most useful for operator-side retail personalization, site search, and AI adoption insights.
Best for
A retail technology vendor or e-commerce team seeking practitioner-led explainers on search and personalization.
Not for
A direct-to-consumer brand seeking sponsored lifestyle posts, discount codes, and broad consumer reach.
Key takeaways
Zero-result searches split into findability, assortment, and intent problems, each needing a different fix.
One focused AI bet on a photo studio pointed to saving 1,800 hours a year.
Informal customer conversations can reveal frustrations surveys miss, though both methods matter.
Check first: Confirm whether they can provide audience demographics, engagement figures, and any documented sponsorship format.
Main ideas
Judge personalization by revenue per visitor, not features · Pick one AI use case and go deep · Treat zero-results searches as a revenue-recovery opportunity
Di Lyngholm is a retail e-commerce product and growth leader whose posts connect personalization and AI to practical operating problems.
They draw on work across brand, web experience, CRM and operations at FUN.com and HalloweenCostumes.com, and describe joining Malachyte as VP of Product and Growth.
Their posts offer concrete ways to improve on-site search, test AI in retail operations and judge whether retail technology fits real workflows.
Lyngholm makes broad technology questions operational.
In one post, they sort zero-result searches into findability, assortment and intent problems, then explain why each needs a different fix.
In another, they argue for focusing on one AI use case and cite a photo-studio project that showed a path to saving 1,800 hours a year within two months.
Their operator experience also shapes how they discuss vendors: they focus on legacy systems, customer friction and measurable results rather than sales scripts.
A customer-research post adds a counterpoint to this technical focus, arguing that informal conversations can reveal frustrations surveys miss while acknowledging that both methods matter.
These examples offer specific, experience-based perspectives on retail product and growth—not just general enthusiasm for new tools.
Di Lyngholm's ideas draw on experience running e-commerce operations and later moving to the vendor side.
Read more
Their through-line: judge retail technology by measurable revenue or time savings in a real pilot, focus AI bets rather than spreading experiments, and value direct customer evidence over scripted research. They also frame search and conference selling as operational problems, not marketing theater.
Judge personalization by revenue per visitor, not features
Di Lyngholm says e-commerce personalization must show a measurable revenue effect and be validated in a real pilot.
Read more
They tie Malachyte's product to first-click adaptation without login or history, and cite a 31% revenue-per-visitor lift with FUN.com.
In a hiring post, they define the solutions engineer role around technical demos, pilot setup and data validation that makes results “defensible, not just directional.”
Their argument: brand operators have seen the downstream mess of bad software promises, so claims need proof before rollout.
The Malachyte hiring post says the Senior Solutions Engineer owns “the data validation that makes our results defensible, not just directional.”
Another post says Malachyte's personalization adapts to a visitor's first click without requiring login or history.
It lists pay at $160K-$180K plus equity and says the founding team came out of Spotify, Priceline, BCG and Google.
Lyngholm moved from running brand-side e-commerce at FUN.com and HalloweenCostumes.com to VP of Product and Growth at Malachyte. They note that FUN.com is a Malachyte customer, extending their work from the brand side to the vendor side.
At a Minneapolis eCom Summit panel, Di Lyngholm urged teams to stop tip-toeing around AI and go all in on one high-leverage use case rather than spread experiments across many options.
Read more
A focused bet, they argued, produces measurable operational savings faster. They also warn buyers about “LLM wrappers” charging premium prices for custom prompts around existing models, and suggest evaluating what strong in-house prompting could achieve before signing a contract.
Lyngholm describes a photo studio project at HalloweenCostumes.com and FUN.com: rather than spend six months methodically testing every AI use case, the team went deep on one and within two months saw a clear path to saving 1,800 hours a year. The post names Claude for prompting and design work, Attentive for CRM and SMS, and Malachyte for personalization.
Treat zero-results searches as a revenue-recovery opportunity
Di Lyngholm calls the zero-results search page an overlooked revenue leak: on-site searchers reveal exact intent in their own words and convert at much higher rates than browse traffic, but leave when they hit a blank wall.
Read more
They group null searches into three operational buckets: findability gaps, where products exist but search rules, synonyms or metadata fail; assortment gaps, where shoppers ask for inventory the retailer does not carry; and intent mismatches between shoppers' phrasing and site taxonomy. Each bucket needs a different fix, and they say the breakdown can usually be diagnosed in about 30 minutes from the query log.
The post says 15% of on-site searches return a dead end, 68% of those shoppers bounce immediately, and on-site searchers convert at three to five times the rate of browse traffic. Lyngholm says the zero-results query log maps where revenue is leaking and links to a longer framework for running the audit.
Operator experience should change how retail tech is sold
Di Lyngholm says running the brand side changed how they approach vendor booths.
Read more
They favor less theater and more architecture: operators want to know how a product works with legacy systems and whether it moves shopper intent without breaking workflows.
Shared practitioner context beats sales scripts, with conversations about margin compression and tech debt instead of canned pitches.
They also say attendees should be treated as peers looking for breathing room, not leads to trap.
In their view, people who have lived with bad software promises ask different questions before a demo.
One post lists the three shifts, including “less theater, more architecture” and “empathy for the badge scan.” The eTail Boston posts describe roundtables, a presentation in the AI & Customer Journey track, and a Malachyte social golf event with the BRUNT Workwear team, where Lyngholm connected with Ian Sweeney and Emilee Walch.
Lyngholm now works on the vendor side at Malachyte and uses operator experience as a differentiator. Their conference posts combine practical observations with Malachyte promotion, making the operator-to-vendor argument part of the company's positioning.
Protect budget for unprompted customer conversations
Di Lyngholm argues that customer research budgets may be better spent on dinner reservations than on some formal studies.
Read more
Surveys capture what people think they should say; informal conversations reveal what actually annoys them.
They say both matter, but on a tight budget they would protect the conversation over the survey people ignore in their inbox.
The most useful insight of the week, they say, came from a customer casually complaining about checkout over lunch, unprompted, because nobody told them they were in a study.
The post describes Lyngholm testing this theory in New York City, with meetings by day and customer dinners by night and the World Cup on mute in between. It asks readers whether the take is a hot take or overplayed.
This is the clearest example of how Di Lyngholm turns a technical topic into a specific, checkable retail problem.
Read more
Start here to see the operational detail in their work.
Di Lyngholm argues that the zero-results search page is the most overlooked revenue leak on a retail site, citing figures from their own audits: 15% of on-site searches return nothing, 68% of those shoppers bounce immediately, and on-site searchers convert at three to five times the rate of browse traffic.
The post sorts every null search into three operational buckets: findability gaps, where rules, synonyms or metadata fail to surface a product that exists; assortment gaps, where shoppers ask for inventory the retailer does not carry; and intent mismatches between how people phrase queries and how the site taxonomy is built.
Each bucket needs a different fix.
Lyngholm says the breakdown can usually be diagnosed in about 30 minutes from the query log and links to a written framework.
For brands planning a campaign
Useful as the anchor topic for an interview or sponsored explainer on site search and conversion. The three-bucket framework and 30-minute audit are concrete enough to demonstrate in a live exercise.
Shows how Di Lyngholm thinks about AI adoption in retail operations, with a named internal example and a clear view on vendor spending rather than general enthusiasm.
Read more
Recapping a panel on AI, data and automation at the Minneapolis eCom Summit, Di Lyngholm advises the audience not to spread AI experiments across many use cases.
The example is a photo studio at HalloweenCostumes.com and FUN.com: instead of spending six months testing every option, the team went deep on one and could see a path to saving 1,800 hours a year within two months.
The post names tools Lyngholm recommends — Claude for prompting and design work, Attentive for CRM and SMS, Malachyte for personalization — and warns against paying premium prices for what is essentially a prompt wrapped around an existing model, a point that Lyngholm says quieted the room.
For brands planning a campaign
A brand or retail-tech audience evaluating AI vendors can use this as a starting frame: pick one use case, prove savings fast, and scrutinize whether a tool is proprietary or a wrapper. The 1,800-hour figure gives a campaign something measurable to reference.
This is the primary account of what Di Lyngholm did before the current role, including the operator background behind the personalization pitch.
Read more
It answers the career question a name search usually starts with.
Di Lyngholm describes a decade at FUN.com and HalloweenCostumes.com working across brand, web experience, CRM and operations, and singles out the Halloween.com acquisition as a career highlight.
After being in the room when the deal was called, they raised a hand to own the site and built a strategy to have it live and selling in eight weeks with 20,000 product listings.
After ten months consulting with Malachyte, the post announces their appointment as VP of Product and Growth, with a mission to build personalization tools for brands.
It points to a 31% revenue-per-visitor lift achieved with FUN.com and notes that FUN.com is a Malachyte customer, so the working relationship continues from the vendor side.
For brands planning a campaign
The eight-week site launch and operator-to-vendor transition give a campaign a credible narrative about someone who has run the brand side of retail and now sells into it — useful context when pitching personalization or product and growth services.
Shows how Di Lyngholm positions themself in the vendor market — as a former operator rather than a career salesperson — useful context when deciding whether to take a meeting or pursue a campaign partnership.
Read more
Reflecting on time on both the brand and vendor sides of retail conferences, Di Lyngholm lists three ways operator experience changes trade-show conversations: less theater and more architecture, because operators want to know how a tool behaves with legacy systems and whether it moves shopper intent without breaking workflows; shared practitioner context over sales scripts, with conversations about margin compression and tech debt rather than canvassed pitches; and treating attendees as peers rather than leads to trap. The post closes on the idea that talking from the trenches means solving problems together instead of selling, and references a recent eTail Boston event in the hashtags.
For brands planning a campaign
A booth-side or conference-sponsorship campaign can borrow this framing: lead with operational fit and legacy-system questions instead of product demos. It also makes the case for practitioner-led content over scripted sales collateral.
Shows a distinctive, opinionated voice on retail research methods alongside the technical search and AI posts.
Read more
A newcomer gets a quick read on how Di Lyngholm argues and invites disagreement.
Di Lyngholm makes a pointed argument: on a tight research budget, the most useful customer insight of the week came from someone complaining about checkout over lunch, unprompted, because nobody had told them they were in a study.
The comparison is blunt — surveys capture what people think they should say, conversations capture what they actually mean — and Lyngholm says both matter while choosing the conversation as the one to protect.
The post notes they were testing the theory in New York City, with meetings by day and customer dinners in the evening, and invites readers to say whether the take is a hot take or overplayed.
For brands planning a campaign
Fits a campaign looking for a provocation to open a discussion — a webinar lead-in, newsletter take or panel prompt about research budgets — with the surveys-versus-conversations contrast as the hook. The overseas test also shows a habit of validating claims through firsthand travel rather than desk analysis.
Shows what Malachyte is and how Di Lyngholm is staffing it, putting the personalization claims in the other posts into a company context.
Read more
Useful for readers assessing whether the vendor side is established or still being built.
A hiring post for a Senior Solutions Engineer at Malachyte, framed around the claim that the company is building real-time personalization that adapts to a visitor's first click without requiring login or history.
The stated founding team comes out of Spotify, Priceline, BCG and Google.
The role covers pre-close technical demos and solution scoping, standing up pilot tests, data validation to make results defensible, and bug triage.
Pay is listed as $160K–$180K plus equity, GCP experience is strongly preferred, and the position is remote-flexible.
For brands planning a campaign
Relevant if a campaign or partnership depends on Malachyte’s maturity and team structure. The pilot-focused role description signals a sales process built on testable results rather than demos; ask about the expected proof-of-concept timeline before agreeing to one.
Operator-side vendor evaluation and conference practice2
Focused AI adoption over broad experimentation1
Zero-results search audits as revenue recovery1
Customer conversations over survey-only research1
Building solutions engineering for retail tech1
Personalization tied to revenue per visitor
Lyngholm works on e-commerce personalization and cites measurable outcomes.
Read more
They describe a 31% revenue-per-visitor lift from personalization with FUN.com and Malachyte, and say Malachyte's product adapts to a visitor's first click without a login or prior history. A hiring post for a senior solutions engineer says the role owns technical demos, pilot setup, and data validation that makes results 'defensible, not just directional.'
Frames personalization around revenue-per-visitor lift, no-login first-click adaptation, and pilot validation rather than model features.
Lyngholm reports a 31% RPV lift; ask for the underlying test setup.
For brands planning a campaign
A brand evaluating personalization or conversion tools can ask Lyngholm to walk through pilot scope, what data makes a lift defensible, and where first-click personalization fits. This is strongest for retail tech vendors and e-commerce teams seeking operator-side validation before a rollout.
At a Minneapolis eCom Summit panel, Lyngholm argued that teams should stop tip-toeing around AI and go all in on one use case.
Read more
They point to a photo studio project at HalloweenCostumes.com/FUN.com that they say showed a path to saving 1,800 hours a year within two months, after choosing one focused bet instead of testing every use case for six months. They also warn buyers about 'LLM wrappers' charging premium prices for custom prompts around existing models, and recommend tools including Claude, Attentive for CRM/SMS, and Malachyte for personalization.
Prioritizes one high-leverage AI use case, measures in hours saved, and screens vendors for proprietary value.
The panel included vendor recommendations, so the advice is not vendor-neutral. Ask for the underlying pilot data before relying on its results.
For brands planning a campaign
For an AI adoption or retail tech brief, Lyngholm can lead a one-use-case prioritization exercise and a practical build-versus-buy screen. A brand can ask them to apply the same one-bet framing to its operational bottleneck, then test whether a proposed vendor offers proprietary value or is a wrapper.
Lyngholm calls the zero-results search page 'the most expensive page' on an e-commerce site.
Read more
They say 15% of on-site searches return a dead end, 68% of those shoppers bounce immediately, and on-site searchers convert at 3-5x the rate of browse traffic.
They group null search causes into findability gaps, assortment gaps, and intent mismatches, and say the audit can usually be diagnosed in about 30 minutes.
The post links to a longer framework.
Uses null-query logs to separate findability, assortment, and intent problems before choosing a fix.
Ask for the linked framework before commissioning an audit; it is not included in the post text.
For brands planning a campaign
A retail or e-commerce brand with search-driven revenue leakage can ask Lyngholm to run or teach a zero-results audit. The three-bucket diagnosis suits a workshop, a search/CRO engagement, or a campaign needing a concrete operational example.
Operator-side vendor evaluation and conference practice
Lyngholm writes from both sides of the retail conference booth.
Read more
They say operator experience leads them to approach vendors with less theater and more attention to architecture: how a product works with legacy systems, whether it moves shopper intent without breaking workflows, and whether conversations feel like practitioners comparing notes rather than scripted sales pitches. Their eTail Boston posts describe roundtables, the AI & Customer Journey track, and a Malachyte social golf event with the BRUNT Workwear team.
Evaluates tools by integration with existing systems, downstream operational cost, and practitioner problem-solving.
Conference posts also promote Malachyte, so treat speaker or partner claims as firsthand accounts, not independent reviews.
For brands planning a campaign
A brand can engage Lyngholm for a practitioner-led vendor evaluation, conference speaking or a roundtable, or a reality check on how a retail tech pitch lands with operators. Their value lies in translating between operators and vendors, not generic event promotion.
Lyngholm argues that customer research budgets may be better spent on dinner reservations than on some formal studies.
Read more
They contrast surveys, which yield what people think they should say, with unprompted conversations, which reveal what actually annoys customers, such as checkout friction. They say they are testing this in New York City with meetings by day and customer dinners by night.
Protects budget for direct, unprompted customer conversations alongside or ahead of survey data.
The post presents an unpopular opinion and personal test, not a completed research study.
For brands planning a campaign
A brand can engage Lyngholm for qualitative customer discovery, field research, or a talk challenging survey-only research programs. This suits campaign planning aimed at uncovering specific friction points before choosing a product or personalization tactic.
Lyngholm announced a Senior Solutions Engineer role at Malachyte with a $160K-$180K salary plus equity and remote flexibility.
Read more
The role covers technical demos and solution scoping, pilot tests, data validation, bug triage, and fixes or escalations. The post describes a company founded by people from Spotify, Priceline, BCG, and Google, small enough that one hire can change its trajectory.
Defines the role around pre-sale technical scoping, pilot execution and defensible data validation.
The salary, equity, and remote details are specific to one hiring post and may change; they are not a general market claim.
For brands planning a campaign
For a retail tech company or B2B employer brand, Lyngholm can speak to what a solutions engineering hire must own and how to structure a customer-facing technical role. A recruiting or employer-brand campaign can ask for the specific skills and pilot responsibilities behind the role.
Lyngholm’s brand relationships are mostly employment.
Read more
They say they spent a decade at FUN.com and HalloweenCostumes.com across brand, web experience, CRM, and operations, first consulting with Malachyte and then joining as VP of Product and Growth, where they now hire, present, and host events. The other brand references in their posts are recommendations for Attentive and Claude.
Malachyte
Employment
Lyngholm says they joined Malachyte as VP of Product and Growth after ten months consulting with the company, calling the move “the other side of the table.”
Read more
Their posts show them representing the employer: announcing a Senior Solutions Engineer role at $160K-$180K plus equity, presenting in the AI & Customer Journey Track at eTail Boston, and hosting a Malachyte social golf event. They cite the company’s personalization work, including a reported 31% RPV lift with FUN.com.
Lyngholm describes a decade at FUN.com / HalloweenCostumes.com as “a masterclass in curiosity,” spanning brand and web experience, CRM, and operations.
Read more
They recall being in the room when the company acquired Halloween.com and volunteering to own the site’s strategy, getting it live with 20,000 product listings in eight weeks. They also note a photo-studio AI project there that pointed to saving 1,800 hours a year, and that FUN.com remains a Malachyte customer, continuing the working relationship after their job change.
Di Lyngholm writes about e-commerce personalization, AI adoption, site search, and customer research, drawing largely on experience running retail e-commerce operations before moving into a product and growth role at a personalization vendor.
Read more
Start with the zero-results search audit, then read the posts on revenue-per-visitor personalization and focused AI bets, followed by the conference and customer-research pieces. For adjacent followings, Naga Vara Prasad S covers AI-powered retail personalization and loyalty, Richard Newton covers e-commerce SEO and collection-page discovery, and Abhijeet Mishra covers B2B portals, data fragmentation, and AI agents.
Writes about AI-powered personalization and customer experience in retail, with retail examples and vendor-side commentary on what drives loyalty and conversion.
Read more
Lyngholm's posts draw on operator-side validation, specific pilots, and zero-results search audits; Naga Vara Prasad S's offer broader industry explainers and vendor-perspective takes on AI in retail operations.
Writes about e-commerce discoverability, product pages, and organic revenue, with practical audits and operational checks for retailers.
Read more
Newton focuses on structured data, collection pages, and organic search; Lyngholm focuses on internal site search, personalization, and pilot measurement.
Writes about B2B commerce portals, digital transformation, and AI agents, using concrete operational examples and numbers for distribution and enterprise buyers.
Read more
Mishra's examples focus on B2B food, beverage, and alcohol distribution portals; Lyngholm's cover retail e-commerce personalization, search, and product growth.
The audience information published for Di Lyngholm covers one channel: LinkedIn.
Read more
The only measured figure is a profile follower count of about 2,400, observed October 9, 2026.
That is small for a personal account, so buyers should judge relevance rather than reach and not expect paid distribution from this profile alone.
The seven posts, published between April 20 and August 27, 2026, target brand-side e-commerce practitioners: people who own site search and zero-results audits, CRM and SMS teams, merchandising leads, and product or growth managers deciding how much to spend on AI.
Several describe panels, roundtables, and expo-floor conversations at eTail Boston and the Minneapolis eCom Summit, where attendees are retail technology buyers rather than a broad consumer following.
Ask whether Lyngholm can provide a recent audience breakdown—LinkedIn follower demographics or a documented audience survey covering seniority, employer type, and geography—alongside engagement figures for posts on topics relevant to a campaign, such as zero-results search audits and AI adoption.
If no such data exists, treat the audience as unverified and evaluate a campaign on interview access and content fit rather than expected reach.
Di Lyngholm's posts show a full-time operator role rather than a creator offering: they say they joined Malachyte as VP of Product and Growth in April 2026, and their public activity since then is largely company-facing — announcing a Malachyte solutions-engineering hire, hosting roundtables and a social event at eTail Boston, and presenting company results such as a 31% revenue-per-visitor lift at FUN.com.
Read more
On a May 2026 conference panel, they recommended tools including Claude, Attentive, and their own employer, Malachyte — vendor advocacy from a leadership position, not a disclosed sponsorship.
For a brand buyer, the practical route is a commercial or partnership conversation through Malachyte, not a creator sponsorship booking.
The posts provide no inquiry address, pricing, deliverables list, disclosure practice, or sponsorship terms; ask Malachyte about the available format, exclusivity, and usage rights.
A retail technology vendor or e-commerce team seeking operator-side validation of personalization or site-search work.
Read more
A campaign for brand-side merchandising, search, and product managers could pair a practitioner-led explainer with a live teardown of zero-results search audits, distributed through the vendor’s channels and followed by an optional workshop.
Why this lands.
The topic is grounded in specific, checkable terms.
Lyngholm frames the null-results page as a revenue leak, citing 15% of on-site searches ending in a dead end and 68% of those shoppers bouncing.
They sort dead-end queries into three operational buckets: findability gaps, where rules, synonyms, or metadata fail to surface an existing product; assortment gaps, where shoppers search for inventory the retailer does not carry; and intent mismatches between shoppers’ phrasing and the site taxonomy.
Each bucket calls for a different fix, and they say the breakdown can usually be diagnosed in about 30 minutes from the query log.
That is enough substance for a 30-minute session without padding.
The positioning fits, too.
Lyngholm spent a decade at FUN.com and HalloweenCostumes.com across brand, web experience, CRM, and operations, including getting Halloween.com live with 20,000 listings in eight weeks.
They now work as VP of Product and Growth at Malachyte, a personalization vendor.
The same operator-to-vendor perspective informs their AI material: one focused bet on a photo studio pointed to 1,800 hours a year saved within two months, alongside a warning against paying premium prices for what is essentially a prompt wrapped around an existing model.
This content is written for a room of brand-side practitioners; the interview will not need translation.
What to verify before booking.
The posts report a 31% revenue-per-visitor lift and the 1,800-hour figure, but do not include the underlying test designs.
Treat them as claims to discuss, not audited results.
Lyngholm’s Malachyte role makes this vendor-aligned content.
If the campaign requires a neutral comparison of personalization platforms, ask for a different speaker.
Route commercial or partnership discussions through Malachyte rather than assuming a one-off creator booking; ask about sponsorship format, rates, and disclosure practice.
When to choose a specialist
A direct-to-consumer brand seeking a sponsored post series for a broad consumer audience, built around lifestyle imagery and a discount code, with reach as the primary success measure.
Read more
Three things break.
First, the audience is small and professional.
The only measured figure mentioned is a LinkedIn follower count of about 2,400; there are no demographics, geography, or engagement data to support an expectation of consumer reach.
The posts target people who own site search, CRM and SMS programs, merchandising, and product or growth budgets.
Several describe panels and roundtables at eTail Boston and the Minneapolis eCom Summit.
That is a buyer audience, not a shopping audience.
Second, there is no documented sponsorship format to buy.
The posts include no rate card, media kit, deliverables list, disclosure practice, or partner policy.
Lyngholm’s public output is company-facing: announcing a solutions-engineering hire, hosting roundtables, presenting Malachyte results, and recommending tools including Claude, Attentive, and Malachyte on a panel.
That is vendor advocacy from a leadership position, not a disclosed paid collaboration.
Nothing shows they never accept sponsorships, but nothing documents one either.
Ask whether they accept discount-code campaigns and what commercial terms apply.
Third, the content voice is wrong for a sponsored series aimed at a broad consumer audience.
The posts argue against theater and canned pitches, and their practical detail is operational: legacy-system fit, workflow breakage, margin compression, tech debt, and how a tool behaves after the pilot.
A consumer lifestyle campaign would have to strip out exactly what makes the material credible.
A worked campaign example
Campaign angle: “The 30-minute dead-end audit.” A retail tech vendor or e-commerce platform sponsors a live session in which Lyngholm takes one volunteer brand’s null-query log and works through it on screen.
Structure.
Ten minutes of framing: the zero-results page is the most expensive page on the site, and dead-end searches are not casual traffic because on-site searchers hand over their exact intent in their own words.
Then twenty minutes of live sorting: each dead-end query goes into findability, assortment, or intent mismatch, with a stated fix for each bucket.
Viewers see the diagnosis happen rather than just hear it described.
Close with a practical next step: pull the null-query log, sort it three ways, and pick the bucket with the most addressable revenue.
Why this angle.
It builds on the posts’ strongest points—the three-bucket framework and roughly 30-minute diagnosis—gives a brand-side audience something useful immediately, and lets the sponsor demonstrate competence instead of claiming it.
The AI material supplies a second, shorter asset from the same session: the one-bet approach, illustrated by the photo studio project that chose one use case and pointed to 1,800 hours a year saved within two months, plus the LLM-wrapper screen for anyone about to sign a contract.
What has to be built, not assumed.
A post links to a written framework that is not included in the text, and the posts contain no worksheet, template, or deck based on it.
The sponsor should build a blank audit worksheet with Lyngholm rather than expect an existing asset.
The posts present the reported figures—including 15%, 68%, three-to-five-times conversion, the 31% revenue-per-visitor lift, and 1,800 hours—without test designs.
Present them as Lyngholm’s own audit experience, not independently verified statistics.
Distribution and routing.
Run it as a vendor webinar or conference roundtable; Lyngholm’s conference work already reaches the same practitioner audience.
Test two follow-ups: a form-gated worksheet and a plain download with an optional meeting request.
Because Malachyte is Lyngholm’s employer and a personalization vendor, confirm in writing whether the sponsor wants a neutral platform comparison.
If so, choose another format; keep this session focused on diagnostic method and let the sponsor’s product appear only in the worked fix.
Agree on budget and format through Malachyte, not as a creator sponsorship booking.
Ask about published sponsorship terms and the right inquiry route.
When the campaign shifts from on-site search diagnostics and personalization teardowns to conversational or voice AI in retail operations.
Read more
Naga's posts offer a vendor-side view of AI personalization and loyalty, with specific deployment examples: a KFC Dubai drive-thru assistant built with Sodaclick and Intel, where 75% of customers accepted upsell suggestions, and Arabic/English switching.
They also outline a broad retail cost-reduction framework covering inventory, automated service, supply chains and personalized shopping journeys.
For a vendor seeking a speaker on AI adoption across the whole retail operation rather than just site search, these posts are a closer fit.
The same campaign decision requires operator-side validation and a concrete zero-results audit a brand-side audience can run on a query log.
Naga's material shows no site-search work, null-query analysis or executable diagnostic.
The headline figures (75% upsell acceptance, up to 30% cost reduction) come without test design or method, making them less useful for a live teardown.
The perspective is vendor-facing, without the operator-side experience of running brand-side search, CRM and operations that Lyngholm's material supplies.
Choosing Naga means trading the search-audit spine for broader AI operations coverage and a more promotional tone.
When the campaign shifts to external organic search rather than internal site search: product and collection pages that answer buyer questions, structured data, Google Discover visibility and SEO-led revenue.
Read more
Newton's posts tackle a specific missed-demand problem: structured data cannot make a vague product page useful, and collection pages must match how shoppers search after store discovery, with examples such as linen dresses and sustainable occasionwear.
If the vendor wants to demonstrate expertise across external and on-site search, or build a content asset around category- and product-page improvements, Newton is a closer fit.
The posts also offer a direct service route through a free audit, which may suit a vendor seeking a clear conversion path.
The zero-results audit examines the site's query log through a three-bucket diagnostic—findability, assortment and intent mismatch—that brand-side search managers can run in about 30 minutes.
Newton's examples cover external search and collection-page SEO, not null-query diagnosis.
Their posts end with a service pitch and a link in the comments; the cited client results are not independently verified.
Choosing Newton means trading the internal search teardown for external SEO expertise and a more transactional content format.
When the campaign shifts to B2B commerce and distribution—buyer portals, fragmented data across systems, and AI agents for procurement, finance, sales reps and dealers—rather than retail consumer e-commerce.
Read more
Mishra's posts use FoodLink, a B2B food and beverage distribution portal, as a case study, citing operational metrics such as 18% fewer order errors after moving from phone and fax, 2.5x more selling time for reps, and $7–10M in annual savings from consolidating fragmented data.
They also outline a roadmap for an AI agent serving six portal roles.
For a vendor selling a B2B commerce platform or seeking an enterprise portal digital-transformation angle, this material addresses the same buyer task—using digital tools to remove friction from a commercial process—but in a wholesale context.
For a campaign targeting brand-side retail merchandising, search and product managers evaluating personalization and site search, Mishra is a poor fit.
Their audience is B2B distribution leaders, and their posts cover order digitization and unified data portals, not consumer-facing search or personalization.
The posts also read as vendor or consulting promotion, and the cited client results are not independently verified.
Choosing Mishra means changing the industry and buyer, and losing the retail brand-side practitioner audience entirely.
Seven public LinkedIn posts written by Di Lyngholm cover personalization results, AI adoption advice, zero-results site search, customer research and retail conference work, along with a career move from FUN.com and HalloweenCostumes.com to Malachyte as VP of Product and Growth.
A public account snapshot observed on 9 October 2026 records about 2,400 followers.
The posts do not carry consistent publication dates, so the profile describes the topics as current rather than dating each item.
The figures in the posts, including the 31% revenue-per-visitor lift, the path to saving 1,800 hours a year, and the 15% null-search rate, are reported as Di Lyngholm states them; the posts do not describe the underlying test designs, so these are presented as claims rather than audited results.
The written search-audit framework linked from one post is not described in the posts here, and neither are audience demographics, engagement data, or any sponsorship format, rate card or disclosure practice.
The posts document employment and public tool recommendations only.
The posts support a summary of Di Lyngholm's recent professional work and priorities.
They do not establish earlier career history or any books, shows or other signature work beyond these posts.
