E-Commerce Consulting
E-commerce growth consulting covering product feeds, conversion rate, channel mix and unit economics for stores selling in Türkiye and internationally.
- Google Merchant Center
- GA4
- Meta Commerce Manager
- Google Tag Manager
- Looker Studio
In short
What is E-Commerce Consulting? We work on the whole revenue chain of an online store: traffic quality, conversion rate, average order value and repeat purchase, measured against contribution margin.
What can you expect from this work?
- Clear view of which products and channels produce contribution margin
- Higher conversion rate on existing traffic
- Product feeds that qualify for full Shopping and catalog reach
- Acquisition targets grounded in unit economics rather than blended ROAS
Overview
E-commerce consulting is advisory and hands-on work covering the full revenue chain of an online store: which products deserve investment, how qualified the traffic is, what proportion of visitors buy, what an order earns after all costs, and how often customers return. It is distinct from campaign management, which optimizes only the first link in that chain.
Moon Workshop has worked with online retailers since 2013, from our base in Antalya, Türkiye. The engagement usually begins the same way: a store is spending more on advertising each month and revenue is growing, but the bank balance is not.
Start from contribution margin, not revenue
Revenue is the least useful number in e-commerce. Two stores with identical revenue can have completely different outcomes depending on product mix, return rates and shipping cost.
We build a contribution margin model per product group:
| Line item | What it includes |
|---|---|
| Net revenue | Order value after discounts and VAT |
| Cost of goods | Purchase or production cost |
| Fulfillment | Packaging, shipping, warehouse handling |
| Returns | Return rate multiplied by full round-trip cost |
| Payment fees | Gateway, installment and currency conversion costs |
| Advertising | Channel spend attributable to that group |
| Contribution margin | What remains to cover overhead and profit |
Once this exists, the strategy questions answer themselves. A product group with a 9 percent contribution margin cannot absorb a 4x ROAS target. A group at 45 percent can afford aggressive acquisition. Without the model, every channel target is a number someone picked because it sounded reasonable.
Conversion rate: the cheapest growth available
Doubling traffic is expensive. Improving conversion rate uses traffic you already paid for. We analyze the funnel step by step:
- Landing and category pages — does the visitor immediately see products matching what they searched for?
- Product pages — images, variant selection, stock clarity, delivery date, return policy visibility, social proof
- Cart — unexpected costs, cross-sell placement, guest checkout availability
- Checkout — number of fields, payment options, error handling, mobile keyboard behavior
- Confirmation — accurate delivery expectations, which reduce both support load and returns
The most common single cause of lost orders is shipping cost revealed at the last step. The second is a checkout that fails silently on mobile for a specific payment method, which nobody notices because the people affected simply leave.
Measuring properly before optimizing
Funnel analysis needs a correct GA4 e-commerce implementation with view_item, add_to_cart, begin_checkout and purchase events firing accurately, including variants and refunds. We verify this before drawing conclusions, because a broken data layer produces confident wrong answers.
Product feeds are infrastructure
For any store advertising on Google Shopping or Meta catalogs, feed quality sets the ceiling on performance. A campaign cannot show a product the feed describes badly.
Our feed work covers:
- Disapproval and warning resolution in Merchant Center and Commerce Manager
- Title restructuring so the most-searched attribute appears early
- Complete attribute coverage: GTIN, brand, condition, availability, product type, shipping
- Custom labels for margin tier, seasonality, stock depth and clearance status
- Supplemental feeds for values the platform cannot derive from the store
- Ongoing monitoring, since feeds break quietly and cost money for weeks before anyone notices
Channel mix and marketplaces
Marketplaces bring volume and take margin, along with the customer relationship. Owned stores keep margin and require you to generate demand yourself. Most businesses need both, but the split should be deliberate.
We assess each channel on contribution margin after channel fees, operational load, cannibalization of the owned store, and the strategic value of owning customer data. Sometimes the recommendation is to reduce marketplace presence on specific product groups rather than expand everywhere.
Retention is where the profit is
Acquisition cost is paid once; margin from repeat orders is not. Yet most stores have no working definition of customer lifetime value and no segmentation beyond a single newsletter list.
We help define a customer value model you can actually calculate, segment customers by recency, frequency and value, and design lifecycle flows: post-purchase sequences, replenishment reminders where the product justifies them, win-back campaigns for lapsed buyers, and separate treatment for high-value customers.
Cross-border selling
Moon Workshop supports stores selling into Germany, the United Kingdom, the Netherlands and the United States. Cross-border expansion fails on operational details far more often than on marketing.
Practical checklist we work through:
- Language, currency and pricing presentation per market
- Shipping cost, delivery time and carrier expectations, which differ sharply by country
- Returns policy that matches local consumer expectations
- Payment methods people in that market actually use
- Tax and duty handling communicated clearly before checkout
- Customer service coverage in the local language and time zone
How the engagement runs
The first phase is diagnostic and typically takes three to four weeks: data review, economics model, funnel analysis and feed audit, ending in a prioritized roadmap. After that we either support implementation with your team or execute the campaign and development work ourselves.
Monthly reviews compare the model against reality. When actual margins diverge from the model, we correct the model rather than defend it.
Last updated: August 2026.
What we deliver
The concrete outputs inside this service. Every item appears as a line in the proposal.
Commercial and channel audit
Review of traffic sources, conversion rates by channel and device, product-level margin, and where spend is currently going versus where profit comes from.
Unit economics model
A contribution margin model per product group including COGS, shipping, returns, payment fees and advertising cost, used to set channel targets.
Product feed optimization
Merchant Center and Meta catalog diagnostics, title and attribute restructuring, custom labels and supplemental feeds.
Conversion rate improvement plan
Funnel analysis from category page to order confirmation, with prioritized fixes for product pages, cart and checkout.
Retention and lifecycle design
Segmentation, email and messaging flows, repeat purchase triggers and a definition of customer lifetime value your team can actually calculate.
Marketplace and channel strategy
Assessment of marketplace channels versus owned store, including margin impact, operational load and cannibalization risk.
How we proceed
The steps are fixed; duration and depth change with the scope of the work.
- Step 1
Data review
We start from your analytics, order data and cost structure rather than from opinions about what should be working.
- Step 2
Economics modeling
Contribution margin per product group and per channel, so that acquisition targets are grounded in real profitability.
- Step 3
Priority roadmap
A ranked list of interventions scored by expected impact and implementation effort, with owners and timelines.
- Step 4
Implementation support
We work alongside your team or ours on feed work, tracking, page changes and campaign restructuring.
- Step 5
Review cycle
Monthly review of the model against actual results, with targets and priorities adjusted as the picture changes.
Frequently asked questions
The topics clients ask about most before a proposal.
How is e-commerce consulting different from just running ads?
Which platforms do you work with?
Do you also build the store?
What data do you need to start?
Can you help with selling into European markets?
Related services
The work most often combined with this service.
Google Ads
We structure Search, Shopping, Display and Performance Max campaigns around a single conversion goal and manage them with weekly optimization cycles.
Google Ads · Google Merchant Center · GA4
E-Commerce Development
We build and rebuild online stores where catalog performance, checkout reliability and back-office integration are treated as engineering problems, not settings.
Next.js · Laravel · PostgreSQL
Meta Ads
We run Facebook and Instagram campaigns as a full funnel, with server-side tracking and a creative testing system that keeps performance from decaying.
Meta Ads Manager · Meta Business Suite · Conversions API
Know exactly where your ad budget goes
We audit your existing Google, Meta or Yandex accounts free of charge and report the waste, the missed opportunities and the growth potential in one document.

