Abdul Rafay works on Shopify stores for ecommerce brands, including store development and improvements to product pages, mobile experience, and the path from ad click to purchase.
Abdul Rafay is most useful for diagnosing and fixing Shopify store journeys that lose buyers before purchase.
Best for
DTC Shopify brands with ad traffic but few orders, wanting diagnosis before more spend.
Not for
Brands seeking paid sponsorships, media kits, rate cards, or guaranteed ad spend returns.
Key takeaways
Find where the store loses customers before buying more traffic.
Treat the buying journey as a connected chain from ad to purchase.
Agencies can use Shopify execution support when they lack in-house capacity.
Check first: Ask for named client case studies or independently documented results before contacting.
Main ideas
Find where the store loses customers before buying more traffic · Treat the buying journey as a connected chain · Learn by building, not by watching indefinitely
Abdul Rafay works on Shopify stores for ecommerce brands, focusing on development and improvements that help turn store visits into purchases.
In their posts, they encourage owners to find where the customer journey is breaking—between the ad, product page, cart and checkout—before spending more to bring in traffic.
They also write about practical store improvements and partnerships with agencies that need Shopify expertise.
Rafay’s strongest idea is to treat weak sales as a problem to diagnose, not an automatic reason to buy more traffic.
Their store-journey checklist connects each drop-off point to specific checks: unclear offers or mobile friction on the landing page, missing information or trust on product pages, and shipping costs or payment options at checkout.
A companion post on diagnosing a new store makes the approach concrete by asking whether visitors leave, view products without adding to cart, or abandon checkout.
This gives store owners a useful next question: where, specifically, does the journey lose buyers?
Rafay also presents Shopify work as both implementation and collaboration.
Their agency-partnership post frames development and store improvements as execution support for agencies facing capacity constraints.
Readers interested in building a practice can also find a candid account of learning by doing in their post about starting out.
Ask for named client case studies or independently documented results when assessing the impact of their work.
Abdul Rafay’s clearest recurring idea is to find where a Shopify customer journey breaks before spending more to bring people into it.
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The same diagnose-first approach appears in advice to store owners and descriptions of development work. The posts also value learning by building and present agency partnerships as a way to handle execution capacity.
Find where the store loses customers before buying more traffic
Rafay argues that weak sales do not automatically mean a store needs more ads.
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The right fix depends on where people drop out: ad clicks, landing pages, product pages, cart or checkout. Diagnosis—not a blanket redesign or bigger ad budget—comes first.
Different symptoms call for different checks: weak clicks point to the creative, audience or offer; visitors who do not add to cart point to the product page, price, trust or call to action; abandoned checkouts raise questions about shipping, payment options and checkout.
Rafay describes conversion as a sequence from ad to purchase, where a problem at one stage can undermine everything after it.
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Adding traffic to a leaky journey, they argue, can make the leak more expensive. They recommend checking analytics and recordings alongside the store experience.
In one post, Abdul Rafay walks through a store and identifies an unclear offer, a product page that leaves buyer questions unanswered, a mobile experience that differs from desktop, and buried trust signals. They map these against the path “Ad → Landing Page → Product → Trust → Add to Cart → Checkout → Purchase.”
Rafay’s account of starting during the 2020 lockdowns leads to a practical lesson: understanding advice is different from being able to apply it.
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They recommend trying one learned skill, seeing what happens and improving through the work rather than waiting to feel ready.
Abdul Rafay describes learning from projects, mistakes and client problems. They advise people learning Shopify, ecommerce or development to choose one thing they have learned and build something with it.
Match the work to the bottleneck, whether technical or commercial
Rafay presents Shopify development and conversion improvements as related parts of improving a store, rather than treating visual polish as the whole job.
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The service post also lists paid social, but the posts focus more often on diagnosing and improving the store journey. Ask for examples of their paid-social work if that service is central to your decision.
Abdul Rafay lists custom theme development in Liquid, JavaScript and Tailwind alongside CRO, UX improvements, bundles, subscriptions, and Meta and TikTok ad strategy. The post claims seven years of experience and 150-plus stores; these are Rafay’s own figures.
The broad service list includes paid-media strategy, while the recurring diagnostic examples focus on what happens after traffic reaches the store.
Use partnerships to solve execution capacity, not just find more clients
For agency and freelance relationships, Rafay frames the problem as having more client work than available Shopify execution capacity.
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The proposed division is for a partner to keep the client relationship while they handle the work. They say they are interested in longer-term partnerships.
Abdul Rafay names Shopify and digital marketing agencies, ecommerce consultants, web development agencies and freelancers as potential partners. They offer development, Liquid customization, speed work, CRO, and landing or product pages.
This is the clearest starting point for the question store owners ask when clicks are arriving and orders are not: where is the journey actually breaking?
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It gives a staged diagnostic instead of a single tactic.
Abdul Rafay walks through where a new store stops converting, using a sequence of symptoms: ads get clicks but visitors do not reach the product page; visitors reach the product page but nobody adds to cart; add-to-carts do not become checkouts; or the store looks fine until you go through it as a first-time customer.
Each symptom gets its own suspect list: no clicks points to creative, hook, audience or offer; visitors leaving quickly points to landing page, messaging, speed and mobile experience; no add-to-cart points to product page, price, offer, trust, reviews, product information and CTA; no purchase points to shipping, unexpected costs, checkout experience, payment options and trust.
The post also names a possibility owners often skip: the traffic itself may be wrong, so 1,000 visitors can still produce very few sales.
It closes with a menu for a direct message — no traffic, traffic but no sales, add to carts but no purchases, or something else — and a promise to say what they would check first.
For brands planning a campaign
Use this as the audit skeleton for a brand brief. Ask the creator to identify which stage is leaking and what evidence supports that, rather than requesting a generic conversion improvement.
A shorter version of the same argument, with the funnel written out as a named chain.
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Open it for the one-line model before the detailed checklist in the earlier post.
The post describes a Shopify store getting traffic without matching sales, and the usual first instinct — run more ads.
Going through the store as a new customer surfaced smaller problems: an offer that is not immediately clear, a product page that does not answer buyer questions, a mobile experience that feels different from desktop, and trust signals buried out of the way.
Abdul Rafay lays out the path as Ad → Landing Page → Product → Trust → Add to Cart → Checkout → Purchase, then makes the point that matters for budgeting: if one part is leaking, adding traffic can simply make the leak more expensive.
The recommended checks are analytics, recordings, mobile experience, product page, offer, shipping information, reviews, checkout and tracking.
The post ends with an invitation to send "AUDIT" and describe what is happening.
For brands planning a campaign
Ask for a leak report mapped to the named stages, with the information used at each one. That turns a vague campaign to improve conversions into something the creator can be held to.
This is the fullest description of what Abdul Rafay says they do and the tools they use.
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It maps a brand's technical requests — theme code, speed, bundles, ad strategy — against the offer.
Abdul Rafay describes building and optimizing 150+ custom Shopify stores over seven years, emphasizing clean code in Liquid and JavaScript, fast load speeds, product pages that convert and checkout funnels that raise average order value and revenue.
The pitch combines storefront architecture with Meta and TikTok ad strategy.
Listed services include custom Shopify 2.0 theme development using custom Liquid, JavaScript and Tailwind; conversion rate optimization and UX work; custom bundles, subscriptions and buy boxes, naming Kaching and Judge.me; and full-funnel Meta and TikTok performance marketing.
The post says they are currently taking new projects and growth retainers.
Ask for named client results to substantiate the seven-year and 150-store figures, which are self-reported in the post.
For brands planning a campaign
Use this as the scope checklist when comparing the creator with other Shopify candidates. If a brief needs theme code and paid media in one engagement, test that claim by asking for named stores and specific before-and-after numbers.
Shows the working relationship Abdul Rafay openly asks for.
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Read this if the brand works through an agency or needs to know whether they take white-label and overflow work.
The argument is that most agencies do not have a client problem but a capacity problem: work is coming in and deadlines are closing, but the right Shopify or ecommerce talent is not always available.
Abdul Rafay lists the partners they seek — Shopify agencies, digital marketing agencies, ecommerce consultants, web development agencies and freelancers who regularly get Shopify projects — and the work offered: store design and development, customization and Liquid, conversion rate optimization, speed optimization, landing pages and product pages, and ecommerce growth or marketing support.
The stated split is direct: "You handle the client relationship.
I handle the work."
The post says the aim is long-term partnerships rather than one-off projects, and invites a message with "PARTNER".
For brands planning a campaign
If the engagement runs through an agency, confirm who owns the client relationship, who handles quality checks, and whether the brand or the agency holds the working files.
The quickest read on how Abdul Rafay handles the cost question and where they draw the line on how a project starts.
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Useful before a first budget conversation.
The post pushes back on the idea that a good Shopify developer has to be unaffordable and lists the complaints that bring people in, written in mixed English and Urdu: the store is built but sales are not coming, ads are running but conversions are not, traffic is arriving but customers are not, the store looks good but something feels missing, the product page needs work, the mobile experience is a mess, and simply not knowing what the problem is.
The stated goal runs in order: fix the problems, improve the store, turn the store into a brand, build a better customer journey, then work toward making the brand successful.
The post explicitly rejects telling a client to spend more on ads before locating the problem.
Ask for rates, packages and minimum engagement sizes; the post does not specify them.
For brands planning a campaign
Use it to frame a first call: diagnose before increasing spend. Ask for rates and scope directly; the post does not publish pricing.
Background for newcomers who want to know how this person learned the work.
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It explains the problem-first, build-it-yourself style that runs through the store posts.
Abdul Rafay traces the start to the 2020 COVID lockdowns, when watching people on YouTube, Facebook and Instagram talk about online work, freelancing and ecommerce led to the question, "Why not actually try it instead of just watching?"
The account of those years focuses on putting ideas into practice: many things did not work, time was wasted, mistakes were made, and the lesson was that knowing something and being able to do it are two different things.
The advice to anyone learning Shopify, ecommerce, marketing, development or freelancing is to stop spending months consuming content and build something using one thing recently learned.
The post asks readers where their own journey began.
For brands planning a campaign
A learning story, not a client result. It is useful for judging fit with brands seeking a self-taught, hands-on operator, and as a conversation opener rather than a reason to hire.
Behind-the-scenes partner for agencies at capacity4
Diagnosing traffic that does not turn into sales3
Product pages, mobile experience and trust signals3
The customer journey, not more traffic2
Custom Shopify build and theme work2
Self-taught, build-first stance and price positioning2
Paid social and storefront treated as one funnel1
Diagnosing traffic that does not turn into sales
Several posts walk through a diagnostic sequence store owners can use before spending more on ads: are people clicking the ad, reaching the product page, adding to cart and completing checkout?
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Each drop-off point suggests a different suspect: creative, hook, audience or offer for weak clicks; landing-page messaging, speed and mobile experience for quick exits; product page, price, trust, reviews, information and call to action for abandoned carts; shipping costs, payment options and trust at checkout. Abdul Rafay stresses that the store owner's instinct — "maybe I just need to spend more on ads" — is not always right; find the break point first.
A staged funnel audit that identifies what to inspect at each point where visitors drop off, rather than treating the store as one undifferentiated problem.
For brands planning a campaign
A brand getting traffic but few orders can brief Abdul Rafay for a store and customer-journey audit instead of a media-buying campaign. The deliverable should identify a specific stage where visitors drop off before proposing fixes.
Abdul Rafay frames storefront work around what happens after traffic arrives: Ad → Landing Page → Product → Trust → Add to Cart → Checkout → Purchase.
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The stated risk is that pouring more traffic into a leaking funnel simply makes the leak more expensive. The review list covers analytics, session recordings, mobile experience, product page, offer clarity, shipping information, reviews, checkout and tracking.
A funnel-leak model for deciding where to focus, supported by recordings and analytics rather than visual impressions alone.
For brands planning a campaign
Useful for a brand that has already paid for traffic and wants to fix its conversion path. Expect measurement and tracking work to be part of the engagement, not an optional extra.
Posts advertise custom Shopify storefronts built with Liquid, JavaScript and Tailwind, fast load speeds, conversion-focused product pages and checkout funnels.
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One post states seven years of experience and 150+ custom Shopify stores built and optimised, and lists ongoing retainers, conversion rate optimisation and UX enhancements.
Custom code and conversion-focused architecture rather than a template-only build.
The experience and store-count claims are asserted by Abdul Rafay only; the posts do not substantiate them.
For brands planning a campaign
Relevant to brands needing development and conversion work in the same engagement. Request example builds and references before committing.
Product pages, mobile experience and trust signals
A recurring focus is the product page and the store's mobile experience.
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Abdul Rafay describes stores that look fine on the surface but reveal problems when experienced as a first-time customer, notes that mobile can feel different from desktop, and points to buried trust signals. A related post covers product reviews, bundles, subscriptions and buy boxes through apps including Judge.me and Kaching.
Review the store as a new customer across devices, then fix product-page, trust-placement and mobile gaps that obstruct the purchase decision.
For brands planning a campaign
Suits a brand with a desktop-mobile performance gap or a product page that does not answer buying questions. Reviews and bundling apps are part of the toolkit.
One post combines custom storefront architecture with Meta and TikTok ad strategy, describing the pairing as a way to make scaling structured and predictable.
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It is the only post describing hands-on paid media work; the others centre on the store, the customer journey and diagnosis.
Paid media capability is asserted once; most posts focus on storefront, conversion and diagnosis work.
For brands planning a campaign
A brand seeking a combined storefront-plus-paid-social retainer could hire Abdul Rafay. Ask about current ad account experience; the basis for media buying rests on a single post.
Behind-the-scenes partner for agencies at capacity
Abdul Rafay offers agencies, consultants and freelancers an execution partnership for clients when Shopify or ecommerce capacity is limited: "You handle the client relationship.
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I handle the work."
The scope includes store design and development, Liquid customisation, conversion improvements, speed optimisation, and landing and product pages.
The stated preference is for long-term partnerships rather than one-off projects.
A white-label or subcontracting model aimed at agency owners and freelancers rather than end brands.
For brands planning a campaign
Agencies can use Abdul Rafay as overflow development and conversion capacity. End brands hiring directly should expect the same delivery-led approach and a straightforward commercial relationship.
Many posts are short relationship-building messages rather than technical instruction: invitations to connect with Shopify founders, agency owners and ecommerce marketers; a reflection on moving from freelancing to building a team or agency; and a question asking readers where their own journey began.
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The tone is informal, and several posts use Roman Urdu or mixed English-Urdu phrasing aimed at South Asian store owners.
Short, question-led LinkedIn posts designed to start conversations and connect peers facing shared problems.
For brands planning a campaign
Useful for a brand seeking a creator who engages owner-operators directly and replies to comments. This material does not offer long-form technical teaching or extensive published analysis.
Self-taught, build-first stance and price positioning
Abdul Rafay describes starting during the 2020 lockdowns by acting on what was being taught online rather than only watching it.
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They state the lesson plainly: knowing something and being able to do it are different things, so pick one thing and build with it. A separate post reassures store owners on cost — "I promise, I'm not THAT expensive" — and repeats the same fix sequence: solve the problems, improve the store, turn the store into a brand, build a better customer journey.
Teaching through implemented work and repeated practical steps rather than theory or course-style content.
The cost-focused post adds insight into tone and audience, rather than a distinct technical approach.
For brands planning a campaign
The content style suits practical, low-jargon briefs aimed at early-stage Shopify owners, including a South Asian DTC audience. The pricing post is positioning rather than a method, so treat it mainly as a read on tone and audience.
Abdul Rafay's posts name no client, sponsor, employer, or business they own.
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They mention the platforms and tools used in service work: Shopify storefronts, the Judge.me and Kaching apps listed among build components, and the Meta and TikTok ad channels their client campaigns run through.
Abdul Rafay advertises services and invites agencies and freelancers to partner behind the scenes.
Ask for named client references and details of any sponsorship or employment relationships.
Shopify
Mention
Shopify is the platform Abdul Rafay's work centers on.
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Posts describe Shopify store development, custom Liquid and JavaScript theme work, speed optimization, product-page and checkout improvements, and diagnosing where a store loses buyers between ad click and purchase. One post asks readers to refer anyone hiring or looking for a Shopify partner.
Judge.me is named among the apps used in the custom Shopify builds Abdul Rafay offers, in a post listing "Custom Bundles, Subscriptions & Buy Boxes (Kaching, Judge.me, etc.)" alongside custom theme development and conversion work.
Abdul Rafay lists full-funnel performance marketing with Meta ad strategy among the services they offer to DTC brands, alongside conversion-focused storefront work.
Read Abdul Rafay's posts in the order they are written.
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Start with pieces on Shopify stores that get traffic but not sales: the recurring move is to locate the break in the journey—weak ad clicks, quick exits from the landing page, product views without add-to-carts or abandoned checkouts—before anyone increases the ad budget.
The storefront development posts explain what gets built: custom Liquid and JavaScript themes, fast product pages, checkout and trust details.
A third strand is partnership outreach to agencies and freelancers with clients but not enough Shopify execution capacity.
The tone is informal, and several posts switch between English and Roman Urdu for South Asian store owners.
Readers looking for long technical write-ups should expect short, practical, question-led posts instead.
Md Moktadir Hossain, Jitendra Kumar and Faizan Ahmad cover overlapping ground from different angles.
Both start from the same premise: a Shopify store has traffic but still does not sell, so the store itself needs inspecting rather than the ad budget.
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They name concrete page-level causes—an unclear value proposition, buried trust signals and too many competing buttons—and offer to review the reader's store.
Md Moktadir Hossain focuses on landing-page design and structure, listing layout and presentation fixes. Abdul Rafay extends the same diagnostic logic to product pages, mobile experience, checkout and development, and writes about doing that work as an agency subcontractor.
Both teach the same first principle: more traffic will not fix a website that fails to turn visitors into customers.
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They cover clarity of message, easy-to-find calls to action, visible trust signals, friction and mobile experience, and explain conversion rate optimization in plain language for business owners.
Jitendra kumar writes about websites and lead generation generally, including for service businesses, using numbered explanatory lists and definitions. Abdul Rafay focuses on Shopify, moving from diagnosis to build and CRO services, and frames posts around store-owner symptoms rather than general web lessons.
Another Shopify developer thinking in public about how checkout and storefront logic should be built and who should own it, weighing custom Shopify-native work against stacking third-party apps.
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Both write short, opinionated posts asking other developers how they are handling the same decisions.
Faizan Ahmad's posts are developer-to-developer, covering Checkout Extensions, Shopify Functions, Remix and where AI fits into a development process. Abdul Rafay writes more often to store owners about sales and conversions, and includes partnership and client-acquisition themes absent from Faizan Ahmad's posts.
Abdul Rafay's posts support a LinkedIn-reach decision, not a channel-mix decision.
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Their LinkedIn following was 5,784 on October 9, 2026.
The posts do not say where followers are located, their age, gender, job function, or seniority.
The posts address Shopify store owners and founders stuck between traffic and sales, as well as agency owners, ecommerce consultants, and freelancers who need Shopify execution capacity.
Several are direct invitations — "DM me 'STORE'", "DM me 'AUDIT'", "DM me 'PARTNER'" — suggesting followers use LinkedIn for peer and vendor conversations, not just passive reading.
English mixed with Roman Urdu phrasing frames the material for South Asian ecommerce operators, but does not establish where followers live.
A post inviting readers to describe where their own journey began drew an open question that could surface commenter-visible audience overlap; no engagement counts were provided to confirm how many answered.
For a DTC brand diagnosing a Shopify store that gets traffic but few sales, the audience matches the problem by role and topic.
The 5,784 figure alone does not show whether followers are decision-makers who buy or approve conversion work, or indicate engagement and reach.
Ask for recent results on store-audit and conversion content, plus an audience survey or platform demographics covering geography, age, and gender.
Employer, occupation, and seniority require survey results or another documented source; platform demographics cannot answer those.
Abdul Rafay does not publish a brand sponsorship programme, rate card, or media kit in the material reviewed.
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Their documented work is service-side: Shopify execution for agencies with client demand but no in-house capacity, and direct store build, conversion, and growth engagements with ecommerce brands.
Partnership conversations start with a direct LinkedIn message.
Buyers should ask for pricing and a deliverable schedule; neither is published.
White-label Shopify execution for agencies
Buyer requirement
This is the clearest partnership format in the posts.
Abdul Rafay describes agencies with clients and projects but not enough Shopify or ecommerce talent to execute, and offers behind-the-scenes support with store design and development, Liquid customisation, conversion-focused improvements, speed optimisation, landing and product pages, and ecommerce marketing.
The agency keeps the client relationship; Abdul Rafay does the work.
They are looking for long-term partnerships rather than one-off projects.
This route suits buyers with an existing client base and a pipeline of work to hand over, who are prepared to remain client-facing.
Direct store build, CRO, and growth retainers for brands
Buyer requirement
In a hiring post, Abdul Rafay states seven years and 150-plus custom Shopify stores, and lists the work they take on: custom Shopify 2.0 theme development with Liquid, JavaScript, and Tailwind; conversion rate optimisation and UX changes; custom bundles, subscriptions, and buy boxes using apps such as Kaching and Judge.me; and full-funnel Meta and TikTok ad strategy.
They say they were taking on a few new projects and growth retainers at the time.
Brands should expect a combined storefront-and-paid-media scope rather than a single deliverable, and confirm availability because the capacity claim was tied to a current opening.
Conversion audit and funnel diagnosis
Buyer requirement
Several posts offer a diagnostic engagement: walking through a store as a first-time customer to find where the journey breaks, whether in the ad creative, landing page, mobile experience, product page, offer, trust signals, shipping and unexpected costs, checkout, or payment options.
Abdul Rafay asks prospects to message with the point of failure and the relevant stage.
The entry point is a stated problem, not a fixed package; the first deliverable is an assessment of where to focus, not a rebuild.
Peer collaboration and referral conversations
Buyer requirement
Several posts invite agency owners, founders, consultants, and freelancers in Shopify, SEO, and digital marketing to talk without a pitch, commitment, or fixed outcome.
In one, Abdul Rafay says they are considering building a team or agency and want to exchange notes with people in the same position.
Treat these invitations as an exploratory or referral channel: they come with no stated deliverable, timeline, or commercial terms.
Need: a DTC brand selling on Shopify gets steady ad traffic but few orders, suspects the store rather than the advertising, and wants a diagnostic first and a fix plan second.
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Abdul Rafay is a strong match.
The work follows the brand’s needs: find where the buying journey breaks before spending more.
The posts lay out a staged diagnosis — ad clicks, product page visits, add-to-carts, completed checkouts — and link each drop-off to different suspects: creative, hook, audience or offer when clicks are weak; landing page, messaging, speed and mobile experience when visitors leave quickly; product page, price, offer, trust, reviews, product information and call to action when carts are abandoned; shipping costs, unexpected charges, payment options and trust at checkout.
The funnel is spelled out as Ad, Landing Page, Product, Trust, Add to Cart, Checkout, Purchase, with a warning that pushing more traffic into a leaking funnel makes the leak more expensive.
A conversion audit should examine analytics, session recordings, mobile experience, product page, offer, shipping information, reviews, checkout and tracking.
The execution side fits too.
The offer covers custom Shopify theme work in Liquid and JavaScript, speed optimisation, product page and landing page changes, conversion and UX improvements, and app-level features such as product reviews and custom bundles and subscriptions.
That means fixes identified in the diagnosis can be built in the same engagement rather than handed to a separate developer.
For agencies or internal teams at capacity, there is also a stated white-label route where the agency keeps the client relationship.
Settle three things before committing.
The seven years and 150-plus stores are self-reported, and the posts name no client results, so ask for example stores and before-and-after figures from an audit.
Rates, packages and minimum engagement sizes are not published, so request pricing directly.
Channel reach is also thinly documented: the only measured figure is a LinkedIn following of 5,784 observed on 9 October 2026, with no demographic or engagement data.
Treat this as a specialist execution hire, not a distribution play.
When to choose a specialist
Need: a consumer brand wants a paid sponsorship programme — several creator posts per month at a published rate, with audience reach and demographics underwritten in advance — and wants paid-media scaling with a committed return on ad spend while the storefront stays as it is.
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This is a poor match on both counts.
Abdul Rafay’s posts mention no brand sponsorship programme, media kit, rate card or format list.
The partnership content is service-side: white-label Shopify execution for agencies, direct store builds, conversion and growth retainers, and diagnostic audits, all starting with a LinkedIn direct message.
A brand expecting a documented sponsorship offer would be inventing one.
The audience information does not support underwriting reach either: the only figure is a LinkedIn following of 5,784 observed on 9 October 2026, with no platform demographic information, audience survey or per-post engagement data.
Cost is mentioned only as informal reassurance that the work is not expensive, with no figures attached.
The paid-media fit is weaker still.
Meta and TikTok ad strategy appears in one post and nowhere else among the ten; the rest focus on storefront, conversion and diagnostic work.
No account results, benchmarks or attribution data are published, so no committed return should be assumed.
The stated position also runs against the need’s premise: the posts repeatedly say that more ad spend is not the fix before the store’s break point is identified, and frame the storefront and paid social as one funnel to repair together.
A brand that wants media scaled without touching the store is asking for the opposite of the work described.
A brand that wants no store changes should keep looking.
One open to the audit-first approach should treat this as the better-fit need and expect no audience guarantees or published rates.
A worked campaign example
Campaign angle: “Before you buy more traffic, find the leak.” A four-week store conversion audit and fix sprint for a DTC brand running ads that produce clicks but few orders.
Week one — map the leak.
Go through the purchase path as a first-time customer on desktop and mobile, then compare it with analytics and session recordings across the named stages: ad click, landing page, product page, trust, add to cart, checkout, purchase.
Deliverable: a short report identifying the stage with the largest drop and the elements responsible — offer clarity, product page information, mobile experience, buried trust signals, shipping costs, payment options or tracking gaps.
The goal is to replace “we need more ad budget” with a specific, evidenced bottleneck.
Week two — fix the product page and mobile path.
Answer the buying questions the page leaves open, move trust signals to where first-time buyers encounter them, and correct mobile gaps that make the store behave differently from desktop.
Add or adjust reviews, bundles or subscription options where they remove a purchase obstacle rather than add decoration.
Week three — fix the final steps. Make the offer immediate, surface shipping costs and payment options before checkout, remove surprises, and verify tracking so the before-and-after numbers mean something.
Week four — measure and brief the next round.
Compare the named leak before and after using the same analytics view, then produce a shortlist of the next three fixes ranked by expected effect.
The measurement discipline is the value: the report must name the leak it fixed and show movement on that measure.
The diagnosis also lends itself to content: a short checklist store owners can use before increasing ad budget, published in Abdul Rafay’s existing conversational style, with the direct-message entry point already established in the material. The posts’ honest hook is that traffic is arriving, but the store is where the money is going.
Before launch, agree on fees, timeline and how many stores or templates the sprint covers; none are published.
Ask for a reference or named result from a comparable audit, and clarify who owns the working files and measurement dashboard.
Treat the seven-year and 150-store figures as claims to verify with a reference.
Choose Md Moktadir Hossain when the suspected break point is one paid-traffic landing page, not the whole store journey.
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The posts address the problem directly: traffic arrives from ads, SEO or social, but sales do not follow.
They treat the landing page as the cause and name what to fix: a confusing layout, no clear value proposition, weak product presentation, too many distractions, and trust signals that are absent or buried.
They also offer a five-second test a brand can apply immediately (what is being sold, why should the buyer trust it, why buy now), followed by corresponding repairs: a focused hero section, product storytelling, social proof, one call to action instead of several, and a mobile-first layout.
The method comes with a concrete claim: UI and structure changes raised conversion on landing pages without new traffic.
For a brand whose ad clicks land on a weak page while product and checkout steps are otherwise healthy, this is a tighter, faster engagement than a full-funnel audit.
The review-and-feedback offer is an easy first step before committing to a rebuild.
The scope stops at the page.
There is no staged drop-off diagnosis across ad click, product page, add to cart, checkout and purchase, or treatment of shipping costs, payment options, tracking or app-level features such as reviews, bundles and subscriptions.
A brand whose leak sits at cart or checkout would get a better landing page, but sales could remain unchanged.
The posts describe going through the store as a first-time customer and using analytics and recordings to locate the largest drop, but do not show that diagnosis in practice.
Expect recommendations rather than a measured audit.
No pricing, packages, named client results or audience data appear.
Choose Jitendra kumar when the brand wants a documented conversion-optimisation process and testing discipline more than Shopify-specific build work.
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One post plainly explains CRO for ecommerce: a store converting at 1% that moves to 2% doubles sales without new traffic; changes should come from data and customer behaviour rather than guesses; and the places to start are the home page, product pages, cart and checkout.
It covers what can be optimised (product descriptions, button text and colour, page speed, images and video, trust signals such as reviews and guarantees), how A/B testing works, why mobile matters, and why the work is continuous rather than one-time, with named tools for finding drop-off.
The second post applies the same thinking to lead-generation sites: check whether the message is clear within seconds, the call to action is easy to find and singular, the site builds trust with reviews, results and case studies, long forms or too many clicks create friction, mobile works, and the page matches the intent of the ad that brought the visitor.
For a DTC brand that wants its internal team taught a repeatable test-and-learn loop, or is diagnosing both an ecommerce store and a lead-capture side of the business, this framing is broader than a Shopify audit and easier to hand on than a one-off fix list.
The posts offer general web and ecommerce advice, not a Shopify engagement.
There is no theme or Liquid development, app work, checkout engineering or offer to build the fixes.
A brand seeking both diagnosis and implementation from one person should weigh that gap.
Unlike Abdul Rafay's posts, the advice is not organised as a stage-by-stage funnel where each drop-off point has a different suspect.
It gives a checklist rather than a ranked diagnosis, leaving the brand to determine its actual bottleneck.
No named store or client outcome, pricing or audience data appear.
The CRO explainer also predates the lead-generation post by more than a year, so the two posts do not present one continuous engagement offer.
Choose Faizan Ahmad when the audit already points to checkout and app sprawl, and the brand wants the plumbing rebuilt rather than the shopfront redesigned.
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The posts argue that many stores depend on third-party apps for checkout functionality that Shopify can now handle natively through Checkout Extensions and Shopify Functions.
The problems are specific: several apps solving overlapping problems, slower performance, higher monthly costs, harder debugging and maintenance, and less control over the checkout experience.
The proposed alternative is to consolidate checkout logic into custom Shopify-native work using Remix, Checkout Extensions and Functions, while acknowledging that third-party apps still have their place.
The posts also state where AI helps in Shopify development—starter code, content structure, repetitive tasks and merchant speed—while architecture, UX decisions, performance work and how Shopify behaves at scale still determine the final product.
For a brand past its first conversion fixes, carrying a heavy app stack and paying for it monthly, this is the sharper option: own the logic, remove overlapping subscriptions and make checkout work the way the store needs.
This starts with checkout architecture, not with finding where the buying journey breaks.
The posts offer no traffic-to-sale diagnostic sequence and say nothing about landing pages, mobile experience, or audience and offer causes of a conversion problem.
A brand that has not located its leak may spend on checkout rework before reaching the real bottleneck.
This is also a build decision with open questions: the posts give no project scope, timeline, pricing or named store result, and no before-and-after evidence that removing apps improved conversion or cost.
Treat the performance and cost benefits as the reasoning behind the approach, not measured outcomes.
Abdul Rafay's ten LinkedIn posts cover Shopify conversion diagnosis, storefront development, agency partnerships and learning by building.
The public follower count was 9 October 2026.
Compared with three other Shopify-focused creators, Abdul Rafay's posts cover these topics.
The posts do not display publication dates and are text only: there are no videos, transcripts or images, no named client case studies, no pricing and no audience demographics or engagement data.
Figures such as seven years of experience and 150-plus custom stores appear only as claims inside the posts and are not independently confirmed, so they are reported as claims.
Abdul Rafay's posts do not mention sponsorship formats; this does not mean Abdul Rafay never accepts sponsorships.
