Aman Jabeen works on Google Ads and eCommerce growth, with a focus on optimizing shopping campaigns, improving Merchant Center quality, and turning store visits into sales.
Most useful for diagnosing Google Ads and eCommerce growth problems across paid search, Merchant Center and the store experience.
Best for
Direct-to-consumer eCommerce brands already running Google Shopping, Performance Max and Search with flat ROAS and feed warnings.
Not for
Reach-led creator video, paid amplification, or sponsorship campaigns needing a stated audience size and composition.
Key takeaways
More traffic is not the same as growth; conversion and trust come first.
Store and feed health is the foundation, not an admin chore.
Paid search is a system: right product, right intent, right structure.
Check first: Confirm who handles each part of the work and whether the account figures are verified.
Main ideas
More traffic is not the same as growth — conversion and trust come first · Store and feed health is the foundation, not an admin chore · Paid search is a system: right product, right intent, right structure
Aman Jabeen’s LinkedIn posts focus on Google Ads and eCommerce growth.
They connect campaign performance to the wider shopping experience, including product data, Merchant Center health, trust, product pages, and checkout.
Follow the work for practical examples of how to look beyond traffic or a headline revenue figure and ask what may be helping—or stopping—visitors from buying.
The strongest thread is the link between paid media and the store experience.
In one post, Jabeen reports a single day of Google Ads spend, clicks, conversions, and cost per conversion, then points to product choice, audience intent, and campaign structure as possible factors.
Another turns a Merchant Center score into a checklist covering product data, shipping, returns, mobile speed, and store ratings.
A beauty eCommerce example applies the same idea to another category: shade guidance, swatches, reviews, product pages, and checkout can matter alongside advertising.
The figures are self-reported, with no account-level verification or detailed before-and-after results.
A hiring post shows Jabeen seeking a specialist to manage an already active eCommerce account; ask who handles each part of the work.
Aman Jabeen makes one argument in several forms: eCommerce growth is decided after the click, not at the top of the funnel.
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Traffic and revenue figures open the discussion rather than settle it: a makeup dashboard showing 15,022 visitors and 992 orders prompts the question of what made those visitors trust the brand enough to buy; a $72,869 revenue month prompts the question of which dollars came from removing buying barriers.
The method is consistent: put the right product in front of people already searching to buy, avoid wasted spend in the campaign structure, then fix the store-side details — feed data, shipping and returns, page speed, reviews, shade guides and checkout — that determine whether the spend converts.
Google Merchant Center fits the same frame: a "Great" store quality score reflects specific signals, not a badge.
The posts pair a performance snapshot with a reframing question and checklist, signalling a diagnostic, metric-first way of working rather than a promise of more reach.
More traffic is not the same as growth — conversion and trust come first
Aman Jabeen repeatedly takes a strong-looking dashboard and moves the question back a step: from how many people arrived to why they decided to buy.
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In a makeup example, 15,022 visitors, 992 orders, 626 new customers and $60K+ net revenue are treated as the less interesting half; the real question is what made visitors trust the brand enough to purchase.
The same approach appears in a monthly revenue post reporting $72,869 net revenue, 1,185 completed orders and 40.8% revenue growth.
The argument: revenue is not the same thing as sales, and the deciding work happens in product experience, trust signals, the website journey, reviews and checkout.
More traffic, the posts say, does not automatically mean more revenue or growth.
The makeup dashboard: rather than celebrating 15,022 visitors, the post names the doubts that stop a cosmetics shopper — will this shade suit me, will the product look the same in real life, are the reviews genuine, is it worth the price? — and answers them with swatches, shade guides, user-generated content, reviews, product pages, checkout and retargeting.
A later revenue post restates the argument in general terms without naming a specific fix or showing a before-and-after. It reads as the broader version of the argument first made concretely in the makeup dashboard.
Store and feed health is the foundation, not an admin chore
On Google Merchant Center, the argument is that a "Great" Store Quality score is a symptom rather than the point.
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The post opens on a dashboard showing Store Quality: Great, performance well above average and a strong Merchant Center foundation, then reframes the question: not how many products are uploaded, but whether Google sees the store as a strong shopping experience.
Small issues are described as costing visibility, trust and sales — missing return information, slow mobile pages, weak product data, unclear shipping details, poor store ratings — and the improvement list repeats those as workstreams, adding shipping settings and Merchant Center health overall.
The stated conclusion is that uploading more products is not the same as improving performance, and that the biggest opportunity is often improving the store that already exists.
The example shown is already at a "Great" score, so the checklist is aimed at stores with weaker signals.
The Merchant Center post moves from a visible Store Quality score to the underlying signals — product data, shipping settings, return policies, site speed, mobile experience and store ratings — then asks readers what their own score would look like if Google reviewed it today.
Paid search is a system: right product, right intent, right structure
Aman Jabeen describes winning advertising as a repeatable loop — test, measure, optimize, repeat — rather than running ads and hoping for results.
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The approach combines a high-intent, high-demand product, an audience already searching to buy and a campaign structure that avoids wasted spend.
The post gives the supporting numbers in full: what was spent, what came back and what each conversion cost.
Since the strongest example covers a single day and product, ask how the method performs across a typical account.
One day of Google Ads is broken down line by line: AED 676 spent, 43 clicks, 23 conversions, a 53% conversion rate and AED 29.39 per conversion. The post contrasts 53% with the 2–4% usually cited for eCommerce and attributes the gap to the product choice (an iPad, described as high-intent and high-demand), an audience already searching to buy and a structure with no wasted spend.
Buying barriers are category-specific, so the fixes are too
The posts treat eCommerce conversion as more than one generic problem.
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In beauty, they name individual points of hesitation — whether a shade will suit the customer, whether the product looks the same in real life, whether reviews are genuine and whether the price is worth it — and match each to a store-side remedy rather than more ad spend: swatches, shade guides, user-generated content, customer reviews, product pages, checkout and retargeting. The diagnosis changes with the product category.
The makeup post maps four specific shopper doubts to seven specific improvements, framing the opportunity as hidden in traffic the brand already has rather than in acquiring more.
Priorities: optimize accounts that already run, with tracking in place
A hiring post for a Google Ads specialist to manage and grow an active eCommerce account offers the clearest picture of the work Aman Jabeen values.
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The priorities are Google Shopping Ads, Performance Max and Search campaigns, conversion tracking, Google Tag Manager, Google Analytics 4, optimization for higher ROAS, and scaling for more sales and revenue.
The account already has active campaigns, and the role is explicitly not a setup job: the work is to analyze performance, optimize, find growth opportunities and scale.
Applicants are expected to show examples of accounts they have scaled.
The hiring post lists the full working stack (Shopping, Performance Max, Search, conversion tracking, GTM, GA4), states plainly that this is not a setup role and quotes a salary of PKR 25,000–30,000 per month. It asks applicants for a CV and examples of scaled accounts.
It answers the first question a brand asks about a paid-search specialist: does this person show actual campaign numbers and the reasoning behind them, or only general advice?
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This is the most concrete worked example in their posts, so newcomers should open it first.
Aman Jabeen reports spending AED 676 on Google Ads in one day and gives the full return: 43 clicks, 23 conversions, a 53% conversion rate, and AED 29.39 per conversion.
The post contrasts that rate with the 2-4% figure usually cited for eCommerce, then attributes the result to three things: an iPad as the product (described as high-intent, high-demand), an audience already searching to buy, and a campaign structure with no wasted spend.
The closing argument is that winning advertisers treat ads as a system of testing, measuring, and optimizing rather than hoping for results.
Since the figures cover one day and one product, ask for comparable account data before treating them as a benchmark.
For brands planning a campaign
Use it as a template for questions to ask on a scoping call: which product, which search intent, what account structure. A brand evaluating Aman Jabeen for a ROAS brief can ask for the same spend-clicks-conversions-cost-per-conversion breakdown on a comparable eCommerce account, and for the account structure that produced the 53% figure, before committing.
It shows whether Aman Jabeen understands the feed side of Google Shopping, not just bid and budget management.
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For a brand whose shopping campaigns are limited by feed or account health, this is the most relevant piece to start with.
The post starts with a dashboard showing Store Quality: Great, performance well above average, and a strong Merchant Center foundation, then argues that the score is a symptom rather than the point.
The real question, it says, is not how many products are uploaded but whether Google sees the store as a strong shopping experience.
It lists the signals that can pull a score down: missing return information, slow mobile pages, weak product data, unclear shipping details, and poor store ratings.
The improvement list turns those areas into workstreams: product data, shipping settings, return policies, site speed, mobile experience, store ratings, and overall Merchant Center health.
For brands planning a campaign
Directly relevant to a Merchant Center health brief.
It offers a diagnostic list to check against before spending more on Shopping campaigns, and frames feed and policy work as a growth lever rather than admin.
Ask for the current Store Quality score and which signal is weakest before agreeing on scope.
It shows how Aman Jabeen approaches a specific vertical—beauty—rather than eCommerce in general.
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A cosmetics or D2C brand considering a paid-search or conversion brief should open it to see whether the diagnosis matches its own customers' buying objections.
A dashboard for a makeup brand shows 15,022 visitors, 992 orders, 626 new customers, and $60K+ net revenue.
Aman Jabeen treats the traffic figure as the less interesting half and asks what made visitors trust the brand enough to buy.
The named hesitations are specific to the category: whether a shade will suit the customer, whether a product looks the same in real life, whether reviews are genuine, and whether it is worth the price.
The proposed fixes are on the store side rather than the ad side: product swatches, shade guides, user-generated content, customer reviews, product pages, checkout, and retargeting.
For brands planning a campaign
For a beauty or cosmetics brand, this points to where budget may be wasted: buying more traffic when the product page does not answer questions about shade, appearance, and reviews.
A campaign plan can pair paid-search spend with a fixed checklist of product-page and trust-signal improvements.
Ask the advertiser to show the store-side changes made alongside the media work.
It shows what Aman Jabeen sees as the cause of revenue growth.
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It is the most general of the numeric posts, so it works better as context after the two more specific dashboard examples than as a first entry point.
Reported figures are $72,869 net revenue, 1,185 completed orders, and 40.8% revenue growth for the month.
The argument is that revenue is not the same thing as sales, and that the key decisions involve product experience, trust signals, the website journey, customer reviews, checkout, and marketing strategy.
The post says more traffic does not always mean more revenue, and consistent growth comes from understanding customers, removing buying barriers, and optimizing each step of the journey.
It is a framing post rather than a diagnostic one: no specific fix or before-and-after is shown.
For brands planning a campaign
Useful as a statement of priorities when briefing a full-funnel engagement: media work is expected to be paired with journey and checkout improvements. The post names no specific intervention, so ask which changes produced the 40.8% figure before treating it as evidence of a repeatable method.
It shows what kind of work Aman Jabeen is responsible for and who does it.
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Brands deciding whether they are hiring a practitioner or an account owner should read this early: it shows the role being delegated. Open it alongside the hands-on campaign posts.
This is a hiring post for an experienced Google Ads specialist to manage and grow an active eCommerce advertising account.
The work covers Google Shopping Ads, Performance Max and Search campaigns, conversion tracking, Google Tag Manager, Google Analytics 4, optimization for higher ROAS, and scaling campaigns for more sales and revenue.
The post states plainly that the account is already running with active campaigns and that this is not a setup role: the job is to analyze performance, optimize, identify growth opportunities, and scale.
Salary is quoted as PKR 25,000-30,000 per month, and applicants are asked to send a CV and examples of accounts they have scaled.
For brands planning a campaign
This is the clearest signal about working scope in their posts. Before a ROAS-focused campaign, ask whether Aman Jabeen personally handles day-to-day optimization or directs a specialist, what team capacity is available, who owns tracking setup and reporting, and for relevant account examples.
Merchant Center and store quality as a foundation1
Beauty and makeup eCommerce conversion barriers1
Conversion over traffic
A recurring argument across the posts is that more visitors or revenue does not automatically mean growth.
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A makeup dashboard post lists 15,022 visitors, 992 orders, 626 new customers and $60K+ net revenue, then asks what made visitors trust the brand enough to buy. Another post reports $72,869 net revenue and 1,185 orders, and asks what turned visitors into paying customers—not how much traffic arrived.
Publish a performance snapshot, then replace the obvious traffic question with a conversion or trust question and list the areas that answer it.
For brands planning a campaign
A brand evaluating Aman Jabeen for a paid search brief should expect a funnel and trust review, not a promise of more clicks. Ask for a plan that starts with existing traffic and the barriers preventing purchase.
A post about Google Merchant Center links a 'Great' Store Quality score to specific details: correct return information, fast mobile pages, strong product data, clear shipping details and good store ratings.
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It argues that small issues cost visibility and trust, and that improving the existing store can matter more than uploading more products.
Check Merchant Center health against a list of feed, shipping, returns, speed and rating signals before scaling Shopping campaigns.
The example already has a 'Great' score. If your store is at that level, ask which improvements should take priority instead.
For brands planning a campaign
Directly relevant to a D2C brand facing Merchant Center warnings or disapprovals. A shortlist could ask for a feed and store-quality audit using the same checklist before any budget increase.
One post reports AED 676 spent, 43 clicks, 23 conversions and a 53% conversion rate, attributing the result to the right product, the right audience and a campaign structure with no wasted spend.
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A separate hiring post seeks a Google Ads specialist to analyze, optimize and scale an already-running e-commerce account. It lists Google Shopping Ads, Performance Max, Search campaigns, conversion tracking, Google Tag Manager and Google Analytics 4 as the working areas, and makes clear this is not a setup role.
Treat paid search as a system: test, measure, optimize and repeat, focusing on high-intent products, audience targeting and campaign structure that avoids wasted spend.
For brands planning a campaign
For a brand wanting to improve ROAS without rebuilding from scratch, Aman Jabeen's posts point to optimizing an existing Shopping, Performance Max or Search account. Ask for a plan built around current campaign data, conversion tracking and feed setup.
A makeup-specific post identifies buyer hesitations: whether a shade will suit, whether the product looks the same in real life, whether reviews are genuine and whether the price is worth it.
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It recommends swatches, shade guides, user-generated content, customer reviews, product pages, checkout and retargeting to address those doubts.
Map shoppers' doubts in a category, then improve the specific pages and assets that address each one.
For brands planning a campaign
A beauty or cosmetics brand can assess whether Aman Jabeen's category-specific conversion thinking fits its product set. This is useful when the main problem is product-page trust rather than ad reach.
The posts follow a consistent format: performance numbers, a reframing question and a list of factors to improve.
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Examples include a Merchant Center quality screen, a makeup sales dashboard and a monthly revenue report. The numbers open the discussion, and the posts usually end by asking readers to assess their own stores.
Lead with a concrete result, then turn to the underlying question and a practical checklist.
For brands planning a campaign
A brand can expect concise, metric-first communication. Ask for the account-level context behind any posted numbers before using them to shape a campaign brief.
No brand relationship is named in Aman Jabeen's posts.
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They describe paid-search and Merchant Center work for eCommerce stores: a makeup-store dashboard with 15,022 visitors and $60K+ net revenue, a Merchant Center account with a "Great" store-quality score, a Google Ads campaign that produced 43 clicks and 23 conversions on AED 676 of spend, and a hiring post recruiting a Google Ads specialist for an active advertising account that is explicitly "already running."
The businesses behind the figures and the account being recruited for are unnamed, so the relationship between Aman Jabeen and those stores is unclear.
Google Ads, Google Merchant Center, Shopping Ads, Performance Max, Shopify, Google Tag Manager and Google Analytics 4 describe the systems used in the work or appear as hashtags; they are not disclosed commercial relationships.
Aman Jabeen's posts offer a diagnostic sequence for eCommerce paid search: measure a campaign or store, then identify what is limiting it.
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Their makeup and revenue posts argue that traffic and revenue dashboards hide the buying barriers that decide growth.
Their hiring post names the account areas they prioritize: Google Shopping, Performance Max, Search, conversion tracking, Google Tag Manager and Google Analytics 4.
The work involves analyzing, optimizing and scaling accounts that already run.
For related perspectives, compare Robin Tesselaar on profit-focused Google Ads measurement, Md Moktadir Hossain on Shopify landing-page conversion, and Ali Hamza on Meta ads and creative and tracking diagnostics.
Both discuss how to judge Google Ads by what actually reaches the business.
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Robin Tesselaar argues that ROAS hides margin, new-customer share and incremental return; Aman Jabeen argues that traffic and revenue dashboards hide conversion and store-quality problems. Both use account-level examples and operational checklists to move from a headline metric to a more useful question.
Robin Tesselaar focuses on profitability accounting and Performance Max structure, including POAS, nCAC, margin-split asset groups and branded-traffic protection. Aman Jabeen focuses more on Merchant Center and store health, plus category-specific buying barriers such as shade guides and product reviews.
Both work on eCommerce conversion from the store-side experience.
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Md Moktadir Hossain starts from the Shopify landing page and asks what stops a visitor from buying; Aman Jabeen starts from feed and store signals and asks what makes visitors trust a brand enough to purchase. Both identify common points of hesitation, then list specific improvements.
Md Moktadir Hossain centers on landing-page structure, headline clarity, social proof and Shopify design. Aman Jabeen centers on Google Ads, Merchant Center quality and feed and store diagnostics.
Both publish performance-marketing diagnostics for eCommerce, using ad-account evidence and lists of fixes rather than general advice.
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Ali Hamza audits Meta ads for creative fatigue and tracking failures; Aman Jabeen audits Google Ads, Merchant Center and conversion paths. Both treat measurement and account review as the starting point for improving results.
Ali Hamza focuses on Meta and Facebook ads, the Ad Library, creative fatigue and purchase-event tracking. Aman Jabeen focuses on Google Ads, Merchant Center and store-side conversion barriers.
For a campaign focused on Google Ads and eCommerce, Aman Jabeen’s posts cover relevant topics, including Shopping campaigns, Merchant Center store quality and conversion barriers.
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Before choosing a placement, request recent LinkedIn audience data and results for comparable eCommerce topics and formats. If the campaign depends on reaching specific job roles or seniority, ask for audience survey results or another documented source for those professional attributes.
No sponsorship or brand-partnership offer appears in the five LinkedIn posts published between May and September 2026.
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They cover Google Ads performance, Merchant Center store quality, and eCommerce conversion; none describes a sponsored placement, paid collaboration, affiliate arrangement, media kit, rate card, or brand-partnership format.
The only commercial arrangement described is a recruitment call for a Google Ads specialist to manage an existing eCommerce account—hiring, not a sponsorship offer.
There is no published package, deliverable, lead time, or disclosure practice to budget against.
Ask directly about terms and collaboration history.
Brief: A direct-to-consumer eCommerce brand in beauty or general consumer goods, already running Google Shopping, Performance Max and Search campaigns, has flat ROAS and warning or disapproval messages in Merchant Center.
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It needs a paid-search and feed-optimization plan, not a fresh account build.
Decision: The brief fits the diagnostic and store-side work described here, with one scope question to settle before hiring.
The Merchant Center post offers a concrete checklist: return information, mobile page speed, product data quality, shipping details and store ratings.
It frames these as signals Google uses to assess the shopping experience.
It also notes that more products do not automatically mean better performance, making fixes to the existing store a better first move than adding catalogue.
For a brand with feed warnings, the priority is diagnosis, not a budget increase.
The spend post reports results line by line—spend, clicks, conversions, conversion rate and cost per conversion—and identifies three levers: the product, the audience already searching to buy, and a campaign structure without wasted spend.
A brand can request the same breakdown on its own account as a first deliverable.
The makeup dashboard post is the strongest evidence for a beauty brief.
It identifies purchase objections—whether a shade will suit, the product looks the same in real life, reviews are genuine and the price is worth it—and pairs them with store-side fixes: swatches, shade guides, user-generated content, reviews, product pages, checkout and retargeting.
It also names conversion tracking, Google Tag Manager and Google Analytics 4.
One scope question matters.
The hiring post seeks a Google Ads specialist to analyze and scale an account that is already running, describing the role as optimization rather than setup.
That suggests day-to-day work is delegated.
Before hiring, establish who handles daily optimization and owns tracking and reporting.
Ask for account examples and the structure behind the 53% figure before committing budget.
When to choose a specialist
Need: A consumer brand seeking reach and awareness through creator-led video and paid amplification, with an audience of a stated size and composition—for example, 100,000 or more followers in a named market.
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Decision: The posts do not establish a fit; treat any reach-based proposal as unverified.
Aman Jabeen's posts do not identify who sees the content: they publish no job roles, seniority, geography, engagement rate or audience survey.
That leaves a campaign targeting a specific professional group without evidence to work from.
The public profile listing in October 2026 shows 871 followers, a small base for a reach-led placement; follower numbers also do not describe a paid media audience.
The content consists of text posts built around dashboards and checklists.
No video, podcast, newsletter or long-form work appears, so there is no evidence that they produce the video or broadcast assets an awareness campaign usually needs.
The posts publish no commercial offer to budget against: no media kit, rate card, sponsored format, lead time or disclosure practice.
The only commercial arrangement described is a recruitment call for a Google Ads specialist, which is hiring, not a sponsorship.
Terms for a collaboration would need to be established from scratch, with no track record of delivered reach or leads to evaluate.
Before considering a reach-led campaign, ask for audience data, examples of relevant assets, commercial terms and evidence of past results.
A worked campaign example
Brief: A supplement or skincare D2C brand spends on Google Shopping, but its Merchant Center score keeps slipping and ROAS has gone flat. The proposed approach: fix the feed and store, then scale spend.
Week one: audit the feed and store quality.
Compare the live account with the Merchant Center post's checklist: return information, shipping settings, product data quality, mobile page speed, store ratings and overall account health.
Deliver a short, prioritized list showing each signal's current state and which products have the weakest data, so the brand knows what to change before increasing budget.
Week one to two: fix conversion barriers.
Using the makeup dashboard post as a model, list shoppers' doubts about this specific product set, then repair the product pages carrying Shopping spend: clarify ingredient or shade information, add customer reviews and user-generated content, and reduce checkout friction.
Name and date each fix so its effect can be assessed afterwards.
Week two: check the account. Confirm conversion tracking, Google Tag Manager and Google Analytics 4 are accurate, then review campaign structure for wasted spend and separate high-intent products—the combination the spend post credits for its result.
Report weekly on spend, clicks, conversions, conversion rate and cost per conversion, and show which store-side change moved which metric. The spend post's AED 676 day and 53% conversion rate illustrate the method on one product over one day; they are not benchmarks the brand can expect.
At day 30, increase budget only on segments where feed health and store fixes are in place.
Before signing, ask who handles daily optimization and owns tracking and reporting; the hiring post shows this work being delegated to a specialist.
Also ask for results from a comparable eCommerce account.
Choose Robin Tesselaar over Aman Jabeen when the account looks healthy on the dashboard but the real problem is profit measurement.
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A brand whose Google Ads reports a respectable ROAS but cannot say what it keeps after cost of goods, shipping, returns and fulfilment needs the analysis in these posts: ROAS is revenue divided by ad spend; a 4x ROAS campaign can lose money while a 2x campaign can be the most profitable; and break-even ROAS follows from gross margin — at 35% margin it is 2.86x.
The same material offers a structure for fixing the diagnosis: run a dedicated branded search campaign so Performance Max competes only for cold traffic, split Performance Max asset groups by margin, feed CRM and lifetime-value segments instead of generic interest audiences, and use conversion value rules so a 200-unit sale is not treated the same as a 20-unit one.
A brand that suspects branded search and returning customers are inflating reported returns, or that incremental spend is already hitting diminishing returns, gets a concrete audit path not covered by the Aman Jabeen posts.
The tradeoff is the side of the account each covers.
These posts focus on measurement and bid architecture, while Aman Jabeen's material focuses on Merchant Center health, product data, return and shipping information, and store-quality signals.
A brand with feed disapprovals or thin product data would need that work as well.
The comparison rests on two posts, so it shows subject-matter strengths rather than the full range of either specialist.
Choose Md Moktadir Hossain when the ad account is doing its job and the landing page is losing the sale.
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Both posts make the same case: the problem is usually not traffic but the page it lands on.
They identify the faults — confusing layout, no clear value proposition, weak product presentation, too many distractions, missing reviews and trust signals, an unclear headline, slow loading — and the repairs: a focused hero section, product storytelling, social proof, one clear call to action, and mobile-first design that answers what is sold, why it can be trusted, and why to buy now within five seconds.
For a brand whose Google Ads clicks and feed health are fine but whose conversion rate stalls after the click, that storefront diagnosis is a closer match than the paid-search and feed plan described for Aman Jabeen.
The tradeoff is channel and scope.
These are storefront conversion posts for Shopify, not Google Ads campaign structure, bidding, feed or Merchant Center work.
A brand with feed warnings would still need a paid-search specialist.
The examples are qualitative: the posts refer to pages where UI changes lifted conversion, but name no accounts or before-and-after figures.
Choose Ali Hamza when the paid budget sits on Meta rather than Google.
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The Ad Library post offers a practical audit routine for Pakistani clothing brands: open every ad running on your own page with its start date beside it, treat anything unchanged for more than 90 days as the first job of the week, and stop sending paid traffic to an Instagram profile instead of a product page, which leaves Meta without a purchase event to learn from and pushes it to optimise for clicks.
The results post reports campaign outcomes across health and beauty, automotive parts, fashion, real estate, staffing and fitness, with spend, revenue and ROAS figures for each.
It judges campaigns on whether they made the client money, not on impressions.
For a brand running Meta ads whose creative has gone stale or whose tracking is broken, that is a more direct match than a Google Search and Shopping plan.
The tradeoff is the channel itself.
These posts do not cover campaigns involving Merchant Center or Google Shopping.
The results are headline account numbers, such as 10.5k spend returning 89k revenue, published without campaign structure, audience or margin.
They show the categories worked in, not a method another brand can copy.
This profile is based on five LinkedIn posts from Aman Jabeen's account: a Google Ads spend breakdown, a Merchant Center store-quality post, a makeup-brand conversion dashboard, a revenue-growth summary, and a hiring post for a Google Ads specialist.
All five were read in full.
The posts do not include publication dates, and the dashboard figures are described in the post text rather than shown as verified account reports, so those numbers are reported as Aman Jabeen presented them.
No transcripts, long-form articles, or independently verified client results were available, and no brand, employer, or client is named in the posts.
The material does not identify signature work beyond these posts, which is a gap for broader name-search coverage.
