E-commerce
An online store doesn’t sell because it exists. It sells because a customer finds it at the right moment: in Google search, in a Shopping ad or in an Instagram catalogue. We do all three, for stores with anything from a hundred to more than a thousand products.
In short
Marketing for an online store isn’t a single campaign, it’s a system: SEO for categories and products, Google Shopping and Performance Max, Meta catalogue ads and remarketing for shoppers who abandoned their basket. Each channel catches the buyer at a different stage of the decision.
Our e-commerce marketing starts from data: which categories make money, which products have a good margin and where customers drop out. Only then do we decide where the budget goes and which content we write first.
What we do
Categories are the pages that most often rank for buying searches. We write their introductions and sort out filters and internal links.
Instead of the supplier’s text that twenty other stores also use, we write or generate unique descriptions with technical data.
A correct feed: titles, GTINs, prices, availability and shipping. No disapproved products quietly eating into sales.
Campaigns split by margin and best sellers, so the budget goes on products that make money, not just those that get clicks.
Dynamic ads on Facebook and Instagram that show shoppers the exact product they looked at, with a connected catalogue and Pixel.
GA4 e-commerce events, Meta Conversions API and sales tracked by channel, so you know exactly what brings in money.
Most stores that come to us have the same problem: they look good, but Google doesn’t know what to show them for. The causes are almost always the same:
None of this is hard to fix, but it has to be done in order: first the technical side and structure, then categories, then products, then content that attracts buyers before they decide.
With an online store we don’t optimise “the site”, we optimise page types. Each type has its own job:
Searches such as “wet and dry vacuum”, “home pressure washer” or “Intex pool 366” most often lead to a category, not a product. We add a short introduction above the products and a buying guide below them, sort out the title and meta description, and link the category to related categories and blog guides.
Someone who types an exact model already knows what they want. That page needs a unique description, technical data in a table, real photos, availability, delivery time and Product schema so the price and availability show in Google results. For large catalogues we build automation: on Kocke.rs the description and technical table for 1,290 products were generated from supplier data and cleaned up for SEO.
“Which pool for a 4×3 m garden” or “how much electricity does a hot tub use” aren’t buying searches, but future customers type them. So for Bazeni Akcija we built a system of guides linked to products, with hundreds of articles published alongside the 517 products in the store.

Ads for an online store only work if the feed is good. So first we sort out Google Merchant Center: product titles that contain what people type (brand, model, size), correct GTIN codes, prices and availability that match the site, and shipping settings. Disapproved products are usually a silent loss nobody notices.
We split campaigns by sales logic, not by the site’s categories: best sellers, products with a good margin, seasonal products and products that get viewed but not bought. That way Performance Max doesn’t spend the budget on the cheapest product with the smallest profit.
On Facebook and Instagram we use catalogue ads: a shopper who looked at a pressure washer or a pool sees exactly that product, with its price, over the following days. That needs a catalogue connected to the store, the Meta Pixel and the Conversions API, so tracking works even when the browser blocks cookies.
Read more about how we run campaigns on the Google Ads and Facebook and Instagram advertising pages.
Shoppers increasingly ask ChatGPT or Google AI Overviews “which pressure washer for home use” before they go to a store. AI tools recommend products from sources they understand: clear specifications, comparison tables, answers to specific questions and consistent store details. So we write guides and categories with short, citable answers and add structured data. More on the answer engine optimisation and generative engine optimisation pages.
FAQ
SEO makes sense even for a store with a few dozen products, as long as the categories are set up well. With large catalogues of hundreds or thousands of products, most of the work is automating descriptions and sorting out filters technically.
They work best together. Shopping brings sales straight away and shows which products sell, while SEO reduces your dependence on paid clicks over time. We use campaign data to decide which categories to optimise first.
You can, but those pages rarely rank because several sites carry the same text. For important products and categories we write unique content, and for large catalogues we build a template that turns technical data into a unique description.
Both. We build WooCommerce stores with SEO foundations, tax-compliant receipts and card payments, and we can also take over marketing for an existing store. See the Online store development page.
Performance Max is a Google campaign type that shows ads in search, Shopping, YouTube and other networks from one budget. It can work well for an online store, but only with a good feed and products split by margin; otherwise it spends the budget on the easiest clicks.
Work
How we work
Every online store is different, but the order of work is almost always the same. This is what our e-commerce marketing looks like in the first few months.
We check speed, indexing and the duplicates created by filters and variants. We build a correct feed for Google Merchant Center and the Meta catalogue, with accurate prices, stock and GTIN codes. Google publishes the feed rules in its product data specification.
Categories are the pages that rank most in an online store. Each one gets a unique introduction, useful filters and answers to shoppers’ questions instead of a bare list of products.
We split campaigns by margin and sales, so the most profitable products get the largest share of the budget. On Meta we launch catalogue ads and remarketing.
“How to choose” guides and model comparisons bring in shoppers who are still deciding. That kind of content is part of every serious e-commerce marketing plan.
See how it works in practice in the examples of Bazeni Akcija, Kocke.rs and MojKarcher.rs, or read more about online store development.
Shopping and Performance Max campaigns bring orders from the first days, while category SEO starts to grow after two to three months. So we almost always start e-commerce marketing with ads for the most profitable products, while building content in parallel that reduces dependence on paid traffic over time. After a year, good e-commerce marketing has a larger share of sales coming from organic search than at the start.
Enquiry
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+381 69 740 754
office@plusnet.rs
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