Content calendar for an online store: blog and special content on autopilot

A month ago, the owner of an online store for industrial oils wrote to me - one of those clients who has sixteen thousand items in the catalog, two thousand visitors a day, and at the same time the blog has not been updated since the year before last. The last article is “Happy New Year, dear clients!” from December 2024. He asked, “Listen, I understand that a blog is for SEO. The marketer tells me, the SEO guy tells me, everyone tells me. But I don’t have time for this, I don’t have a copywriter who understands hydraulic oils, and honestly, I have no desire to do this. Maybe we should score?

I told him that killing it is the easiest option, but then he will continue to lose about thirty to forty percent of potential organic traffic. Because a blog for an online store is not “it would be nice,” but one of the most powerful tools for attracting those very people who do not yet know that they need a specific product, but are already looking for a solution to their problem. A person googles “what oil to fill in the hydraulics of a Komatsu PC200 excavator” and ends up not on a product card, but on a detailed article that answers his question, simultaneously shows suitable items from the catalog, and ultimately turns a random visitor into a buyer. It works. This has been proven by millions of stores around the world. But here’s the paradox: knowing that this works, most WooCommerce store owners don’t blog. And the reason is always the same: there are no resources.

This is what I want to talk about - how we solved this problem not by hiring copywriters and not by motivational speeches in the style of “just start writing one article a week,” but by technology. We have built a full-fledged content pipeline into our COS WP Woo plugin: from topic planning to automatic publishing on a schedule, with AI generation, improvement of existing texts, image creation and A/B testing of formats. And no, it’s not “pressed a button, got garbage.” It's a tool that requires some initial setup and understanding of what you want, but then it really runs on autopilot.

Let's figure out how it works and why I believe that content marketing for e-commerce has finally become available not only to those who have a staff of five marketers.

Why a blog for a store is not a whim, but mathematics

I have been working with B2B and industrial companies for many years, and I can say for sure: content marketing in e-commerce is not a matter of taste or fashion. This is pure mathematics that can be calculated on a calculator. Let’s take an average WooCommerce online store with a catalog of five to ten thousand products. The main traffic comes from two sources - direct queries by product name (when a person already knows what he needs) and category queries (when he searches for “buy hydraulic oil” or “motor oil for diesel engines”). This is commercial traffic, for which all competitors are fighting in contextual advertising, and the cost per click is growing every year.

But there is a huge layer of information requests - “what is the difference between synthetics and mineral water,” “how often to change the oil in a compressor,” “compatibility of oils from different manufacturers,” “what does viscosity 5W-30 mean.” These queries are asked by people who are at the stage of studying the problem. They are not ready to buy yet, but in a week or two they will be ready. And if at that moment they read your article, remember your website, and see links to suitable products, the likelihood that they will return and buy from you increases dramatically.

According to our data, stores that blog with at least two to three posts per week receive thirty to fifty percent more organic traffic in six to twelve months. Moreover, this traffic is free - it does not require advertising costs. Yes, you need to spend money on creating content, but an article once written works for years. I saw an article about “selecting gear oil” written three years ago that still brings in four to five hundred visitors a month. Try to get the same amount from the context - calculate how much it will cost with an average cost per click of forty to sixty rubles.

And here the main contradiction arises. Everyone understands that a blog is needed. Nobody wants to do it. A store owner is not a writer; he is busy with purchasing, logistics, clients, warehouse, and accounting. Hiring a copywriter who understands the specifics is a separate quest. A copywriter on the stock exchange will write to you “oil is an important liquid for your car” for five hundred rubles, and search engines will turn away from this text faster than you can publish it. A specialized technical copywriter costs from five thousand per article, and try to find one who understands your niche.

We encountered this problem on our own project and realized that the solution must be systemic. Not “let’s find a good copywriter” - but “let’s build a process that generates quality content with minimal human intervention.” This is how the content module appeared in our plugin.

Let me make a reservation right away - I’m not one of those who believes that AI will completely replace people in content creation. It won't replace it, at least not yet. But AI can take care of eighty percent of the routine: researching a topic, creating a structure, writing the first draft, selecting keywords, generating metadata. And the remaining twenty percent - expert verification, adding real experience, fine-tuning the tone - this is the work of a person, which takes not eight hours, but thirty to forty minutes. And this model can be scaled.

Content calendar: from chaos to system

The first problem to solve is scheduling. Most stores that try to blog do it chaotically. We wrote the article when we were in the mood. Then a month of silence. Then another article, because the SEO guy reminded me. Then another pause. Search engines don't like this kind of irregularity - they like sites that are updated predictably and frequently.

Our content calendar works differently. You set the basic parameters: the topic of your store, the frequency of publications (two a week, three a week, one a day - whatever you want), preferred formats (reviews, buying guides, comparisons, answers to questions), target keywords or product categories around which to build content. Based on these parameters, the plugin generates a publication plan for a month in advance - with specific topics, dates, and links to product categories.

But this isn't just a random collection of topics. CalendarJob - a module that is responsible for scheduling - analyzes your catalog, looks at what product categories are presented, what search queries are relevant to your niche, and suggests topics that your potential customers will actually search for. If you have an oil store, it will offer “How to choose compressor oil for a screw compressor”, “Differences between hydraulic oils HLP 32, 46 and 68”, “Seasonal oil changes in agricultural machinery - when and with what”. These are not abstract topics from your head - these are topics based on an analysis of your assortment.

And what I really like about this approach is that you can edit the plan. View the suggested topics, remove unnecessary ones, add your own, change dates. This is not a black box that does everything for you without your control. This is an assistant who suggests, and you decide. But at the same time, you don’t need to sit with a blank document and think about “what to write about” - this most painful part of the work has already been done.

Once the plan is approved (or simply left as is, if you are happy with the proposed topics), automatic generation begins. Action Scheduler, a task scheduler built into WooCommerce, takes care of all the mechanics. At the appointed time, it starts generating a draft, creates a post in WordPress, adds images, assigns categories and tags, and either publishes it immediately or leaves it as a draft for your review. All this happens in the background, without loading the site and without requiring your presence.

I set up this calendar for one project and forgot about it for two weeks. I returned - there are eight new articles on the blog, all to the point, all with the correct structure, all indexed. Of course, I then went through them and made changes - added a couple of examples from real experience, corrected the wording in a couple of places. But the main work was done. Instead of spending sixteen hours writing eight articles, I spent two hours editing. The difference is noticeable.

There is one more nuance that few people think about. A content calendar linked to product categories allows you to evenly distribute attention across the entire catalog. Without a system, a bias usually occurs - they write about the most popular products, because it’s easier to write about them. But it is the less popular categories that often have less competition in search and greater potential for attracting traffic. The system sees this and distributes topics so as to cover the entire range.

Generating articles from products and batch processing

Now let's talk about what distinguishes our approach from just a “GPT wrapper with a nice button.” The Blog module can generate articles in two ways. The first is on a free topic, when you set a title and keywords, and the system writes an article from scratch. The second one, and this is what I think is the real superpower, is product generation.

You select one or more products from the catalog, choose a tone (expert, practical, marketing, technical), and the plugin creates a detailed article that not only describes the product, but reveals the topic around it. We chose hydraulic oil HLP 46 and received the article “How to choose hydraulic oil for industrial equipment”, in which viscosity classes, operating conditions, compatibility with different types of seals are discussed in detail, and at the same time, links to specific products from your catalog are organically placed in the text. Not intrusive advertising, but real help to the reader with native integration of your product range.

This catalog integration is something that is not available in any external AI service. ChatGPT does not know your product range. Jasper does not know your prices or availability. Only a plugin that runs inside WordPress and has access to the WooCommerce API can take product data—its features, category, price, related products—and weave that data into an article in a way that looks natural. The system inserts internal links to product cards, mentions specific items and brands, and all this is based on real data from your catalog, and not fictitious examples.

Batch generation is a different story. Imagine that you have a store with three thousand products in ten categories. You want to have at least five to seven review articles for each category. These are fifty to seventy articles. Writing them by hand is a six-month job. With batch generation, you select products, set parameters, click a button, and Action Scheduler begins processing. Each product is turned into a separate article, each article is created as a WordPress draft with the correct metadata, categories and tags. You can generate twenty to thirty drafts overnight, which you only need to review and edit in the morning.

I want to be honest here: not all generated articles are created equal. About seventy percent turn out to be quite decent - they can be published after minimal editing. Another twenty percent require more significant revision - rewriting the introduction, adding specifics, correcting the logic of the narrative. And about ten percent is better to rewrite completely or delete. But even in this situation, getting seventy articles ready for publication out of one hundred generated is a huge saving of time and money. If one technical copywriter writes an article per working day and charges five thousand rubles, then seventy articles is three hundred and fifty thousand rubles and three and a half months of work. Versus one evening of setup and several days of editing.

The choice of AI provider is worth mentioning separately. Our plugin supports both Anthropic Claude and OpenAI GPT - you choose which one to use to generate content. In my experience, Claude copes better with long analytical articles - it maintains the logic of the narrative for two to four thousand words and is less repetitive. GPT-4 is good for shorter, marketing texts. But this is subjective - try both and decide for yourself.

There is one more thing that seems like a small thing, but in practice it saves a lot of time. Prompt system. We have created a separate module for managing prompts, where you can create, edit and save prompt templates for different types of content. One prompt is for product reviews, another for buying guides, and a third for seasonal selections. Each prompt can be finely tuned - set the tone, length, structure, keywords that should be used. And these prompts are connected to the content calendar, so that different types of articles are generated using different templates. This is what turns simple AI generation into a controlled process with a predictable result.

Improving existing content: BlogImprove and ReadabilityService

Do you know what surprised me when I started working with content marketing for online stores? Many stores already have a blog. There are thirty to fifty articles written at different times by different people with different levels of training. Half of these articles are thin, three-paragraph-long content that Google doesn’t even want to index. Another part is walls of text without subheadings that are impossible to read. And a couple of articles are really good, but written four years ago and have lost their relevance.

The BlogImprove module is designed to do just that - it takes existing posts and improves them. It does not rewrite from scratch, but rather improves it: adds subheadings to improve the structure, expands thin paragraphs with specifics, optimizes readability, and adds internal links to products from the catalog. The old five-hundred-word article “Types of Motor Oils” is turned into an extensive two-thousand-word guide with the correct structure, keywords, and links to specific products.

This is much more efficient than writing new content. Because old articles already have some kind of history in search engines - they have age, maybe some backlinks, they are already indexed. By improving them, you are not starting from scratch, but using an already existing foundation. Google loves it when you update and expand existing content - this is a signal that the site is alive and relevant.

ReadabilityService is a separate service that analyzes text readability. It checks sentence length, word complexity, paragraph structure, presence of subheadings, and keyword density. Based on the results of the analysis, a rating is given and recommendations are formed: “Sentences in the third paragraph are too long,” “No subheadings after the first eight hundred words,” “Keyword density is lower than recommended.” This is not rocket science, many SEO plugins do something similar. But the difference is that our analyzer is integrated with the generation and improvement module - having detected a problem, it can automatically fix it, and not just show a yellow circle in the interface and leave you alone with it.

I was faced with a situation where a client came with a blog of forty articles that brought virtually no traffic. We launched BlogImprove on all forty - the process went on for a couple of days through Action Scheduler, five to seven articles per night. Within a month, organic traffic to the blog increased by sixty percent. Not because we wrote something brilliant, but because we turned forty low-quality stubs into forty normal, structured, useful texts with correct internal linking. Search engines noticed this and began to rank these pages higher.

A separate feature that may seem insignificant, but in practice is very valuable - automatic generation of alt texts for images. The AltText module analyzes images in articles and products and creates descriptive alt texts. This is important for SEO: image search traffic is a separate channel that many ignore. And for site accessibility, this is generally a mandatory requirement. Most stores have thousands of images with no alt text, and adding them manually is a weeks-long job. AI can handle this in hours.

Something else I've noticed from experience is that many store owners underestimate the power of internal linking. When the article “How to choose hydraulic oil” contains links to specific products from your catalog, this is not only convenient for the reader, but also critically important for SEO. This transfers link juice from the informational page to the commercial page, helps search engines better understand the structure of your site, and increases the time a visitor spends on the site. Our plugin does this automatically - when generating or improving an article, it finds mentions of products and categories in the text and provides links. Not every mention, but it is reasonable - two or three times per article, so as not to look like spam.

Special content: landing pages, collections and guides without a developer

A blog is great, but there are types of content that don't fit into the blog format. Seasonal selections - “Top oils for winter operation of special equipment.” Landing pages for advertising campaigns - "Truck Oils: Full Line from Nerson." Selection guides - “How to choose bearing grease: a step-by-step guide.” All this is special content that usually requires a layout designer, designer and content manager. Or, at a minimum, a person who knows how to work with a page builder.

The SpecialContent module solves this problem from the WordPress admin area. You specify the type of content (landing page, selection, guide), topic, list of products to include - and you get a ready-made page with the correct structure, images and internal links. The page is created as a special post type (wpaic_special), with a full set of metadata for SEO, and can be published in one click.

For a seasonal business, this is generally a salvation. Every year before the winter season, a selection of winter oils is needed. Every spring - a selection for agricultural machinery. Every quarter, guides are updated with current prices and availability. Doing it by hand every time is a chore. With AI generation, you update the selection in ten minutes: the system pulls up-to-date data from the catalog (prices, availability, characteristics) and generates updated content.

I thought for a long time whether a separate module for special content was needed at all, or if I could just get by with a blog with different templates. And I came to the conclusion that it was needed. Because a landing page and a blog article are different entities with different logic. A blog article is information that lasts a long time and attracts traffic from search. A landing page is a landing page for a specific campaign with a specific call-to-action. The selection is a showcase that is updated every season. Each type has its own structure, its own success metrics, and its own SEO requirements. Mixing them in one blog means losing the effectiveness of each.

Another scenario that I really like is creating application guides from catalog data. You select ten to fifteen products from one category, and the system creates a detailed comparison guide: when to use which product, what is the difference, what are the limitations of each. For industrial and B2B stores, such guides are gold. They attract the highest quality visitors—those who have already decided on a category and are choosing a specific product. The conversion rate of such pages is two to three times higher than that of regular blog articles.

To be honest, when we first showed this module to clients, the reaction was mixed. Some people said: “Finally, I’ve wanted pages like this for a long time, but didn’t know how to make them.” And the part: “Why do I need this, I have Elementor.” And here is an important point - our special content does not compete with visual designers. Elementor, WPBakery, Gutenberg are tools for manual layout. Our module is a tool for automatic generation. If you need a unique page with a custom design, take Elementor. If you need to quickly create twenty identical landing pages for twenty product categories, take SpecialContent.

Image generation and visual content

A separate pain point in content marketing for online stores is images. You wrote an excellent article about selecting hydraulic oil. But how to illustrate it? A photo of a canister? The photographs you have are catalog photographs from the manufacturer, all the same. Stock photo of "happy mechanic with wrench"? Seriously? To create a unique illustration requires a designer, time and budget.

Our ImageGenerator module solves this through integration with two AI providers - DALL-E 3 from OpenAI and Stability AI. When the system generates an article, it can simultaneously create thematic illustrations. Not abstract beautiful pictures, but images tied to the context of the article. When we write about hydraulics, we get an image of the hydraulic system. When we write about agricultural machinery, we get an image of a tractor in a field. AI analyzes the text of the article and generates a prompt to create an image that reflects the content.

Each generated image is automatically saved to the WordPress media library with the correct metadata - alt text, title, description, product or article link. It is immediately available in the editor and can be inserted anywhere in the content. The system creates images in different formats - for the main content, for the cover of an article, for social networks. And all this is automatic, without your participation.

Do you even need to bother with AI images, or can you get by with stock ones? In my experience, unique images perform better. Search engines are able to identify stock photos and give preference to unique visual content. Users also feel the difference - a unique illustration creates a feeling of expertise and effort, while standard stock photography creates the feeling of “another template site.” And yes, AI images are not perfect yet - sometimes there are artifacts, sometimes the result is not exactly what we wanted. But for an online store blog, the quality is more than sufficient, especially when it comes to diagrams, diagrams, and abstract illustrations for feature articles.

By the way, I already mentioned alt texts, but I want to expand on this idea. The AltText module works not only with new images, but with your entire media library. You can batch process all the images on your site, and each one will be assigned descriptive alt text. For a store with ten thousand product images, this is a huge time saver. I know stores where alt texts were never filled out at all - ten years of work, twenty thousand images, zero alt texts. Batch processing through our module - and within a day, all twenty thousand receive the correct descriptions. After this, by the way, there is usually a noticeable increase in traffic from Google Images - the search engine finally understands what is shown in your pictures.

I am often asked the question: will search engines recognize AI-generated images and begin to pessimize them? At the moment - no, there are no such signals. Google has officially stated that they care about the quality and usefulness of the content, not the method of creating it. If the image is relevant, unique and has the correct alt text, it will be indexed and ranked normally.

What's going on under the hood: Action Scheduler and background processing

I promised to tell you the technical side, and here it is. When you set up a content calendar and start generation, all this does not happen instantly in the browser. If this happened, your site would hang for ten minutes when generating one article, because a request to Claude or GPT-4 with a four thousand word prompt is an operation that takes from thirty seconds to two minutes. And if you launched batch generation of twenty articles, imagine what would happen to your server.

That's why we use Action Scheduler, which is a task scheduler built into WooCommerce. The same system that processes orders, sends email notifications and synchronizes data with payment gateways. It's reliable, tested by millions of stores, and perfect for background tasks. Each article is generated as a separate task in the queue. The task takes parameters from the content calendar - topic, tone, keywords, linked products - sends a request to the AI ​​provider, receives a response, processes it, creates a WordPress post with the correct metadata, generates images, runs it through the ReadabilityService and saves the result.

This whole chain runs in the background. You can easily work in the admin panel, process orders, edit products - generation occurs in parallel and does not interfere in any way. On the batch processing page you can see the progress - how many tasks are in the queue, how many have been completed, how many errors. If something goes wrong - for example, the API returned an error due to exceeding limits - the task is automatically restarted after a few minutes. You don’t need to do anything manually; the system handles the retry logic itself.

I also like this architecture because it respects your server's resources. We don't run all twenty tasks at the same time - they run sequentially, with pauses between them. One request to the API - processing - saving - pause - next request. Your shared hosting or VPS will not suffer because you decide to generate fifty articles at a time. It will just take a little longer - a night instead of an hour. But at night your server is still idle, so this is the ideal time for heavy tasks.

By the way, about prompts. I have already mentioned the prompt management module, but I want to tell you in more detail, because this is the thing that separates high-quality AI generation from mediocre ones. A prompt is essentially an instruction for AI, and the quality of the result depends on how well it is written. We've created a template system where you can set the tone of voice (expert, friendly, formal), the target audience (technical professionals, buyers, end consumers), the structure of the article (introduction - problem - solution - call to action, or review - comparison - recommendation), required sections, keywords for SEO, and even example phrases that the AI ​​should or should not use.

One client for whom we were setting up a system asked: “No phrases like 'in the modern world' and 'it's no secret that.' Write like an engineer to an engineer—dry, to the point, with numbers.” We added this to the prompt, and all subsequent articles were exactly like this. Another client wanted a more conversational tone - “as if a friend were talking over beer about what oil to put in his UAZ.” Set it up too. This flexibility is something that universal AI services do not provide, where all texts sound equally impersonal.

And one more thing about background processing - it concerns BlogImprove. When you start improving existing articles, the system doesn't just overwrite them. It creates a new version as a revision of WordPress, preserving the original. If you do not like the result of the improvement, you can always roll back to the previous version. This is an important insurance policy, especially if you have articles that are already generating traffic. We learned from the mistakes of others - I know of a case where an AI tool rewrote a top article, and it lost positions in the search. With our approach this is impossible, because the original is always at hand.

A/B tests, analytics and closing the loop

Now we come to what turns a simple content generator into a full-fledged marketing system. Because writing articles is half the battle. The second half is understanding which articles work and which don’t. And why.

The A/B testing module allows you to experiment with content formats. You can create two versions of the same article—say, one in a review format, the other in a buying guide format—and the system will show them to different visitors, measuring conversion. After a week or two, you see a clear picture: the guide format converts forty percent better than the review format. Or vice versa. Without an A/B test, you would simply be guessing or relying on the subjective “I think reviews do better.”

This is especially valuable when you're just starting out with blogging and haven't yet figured out what works for your audience. B2B clients and retail buyers read differently and have different expectations from content. Technical specialists want numbers and characteristics, buyers want prices and terms, end consumers want simple explanations and recommendations. A/B tests help you find the right tone and format for each segment of your audience.

And here we come to the most important point that I want to convey. This entire content pipeline - calendar, generation, improvement, images, A/B tests - is not just a set of features that we stuffed into a plugin for the sake of a long list on the landing page. This is a closed cycle, where each element feeds the next. The calendar determines what to publish. The generator creates the content. BlogImprove improves what already exists. ReadabilityService checks quality. ImageGenerator adds a visual. A/B tests show what works best. And A/B test data influences future calendar planning - the system learns from your results and suggests topics and formats that are more likely to bring conversions.

I conducted several experiments with A/B tests on different projects and came to an unexpected conclusion: long articles (more than two thousand words) in the B2B niche convert better than short ones. This contradicts the popular belief that “people don’t read long texts.” Read if the texts are useful and well structured. Moreover, long articles rank better in searches, attract more backlinks and keep visitors on the site longer. Each of these factors works in your favor. So if your AI generator creates articles of two to four thousand words, this is not a bug, but a feature.

Another point worth mentioning is analytics of the search queries by which people find your blog. Our search module (it is based on Typesense) logs all search queries on the site, including those for which nothing was found. And this data is a goldmine for content planning. If fifty people a month search for “oil for Atlas Copco compressor” on your website and find nothing, this is a signal: write an article about it, add the corresponding product to the catalog. The content calendar can use this data to automatically suggest topics.

I think it's closing this loop—from demand analysis to content creation and back to results analysis—that makes our system truly useful. Not a one-off text generator, but a full-fledged content marketing engine that learns and improves over time.

Now let me say something that may seem surprising to someone who promotes AI tools. I don't recommend relying entirely on automatic publishing without review. Yes, technically you can configure the system to generate and publish content without your participation. And for some types of content - short news items, catalog updates - this is normal. But for serious expert articles, I strongly recommend using the “generate to draft” mode. Let the system create drafts, and you spend twenty to thirty minutes every morning revising and publishing. Add your experience, a concrete example from practice, a personal opinion - something that AI cannot provide because it does not have your experience. This turns a simply good article into a great one.

Twenty minutes a day of revising and editing is about two hours a week. In these two hours, you get three to five high-quality publications with unique images, proper SEO optimization and internal linking to the catalog. Without AI, to create the same amount of content you would need twenty to thirty hours a week, or a budget of fifty to seventy thousand rubles per month for copywriters. The choice, it seems to me, is obvious.

What if you already have a content strategy and a team that writes texts? Then our tools do not replace them, but enhance them. Your writers can use AI generation to create first drafts, saving time on the routine research and structuring phase. BlogImprove can process their old texts, bringing them up to current SEO standards. ReadabilityService provides objective feedback on the quality of texts. And the content calendar provides consistency, which even experienced teams often lack.

I know that the topic of AI content generation is controversial. There is the “AI content is garbage that will soon be pessimized” camp. There is the “AI will completely replace copywriters” camp. The truth, as usual, is in the middle. AI content can be garbage if you click a button and publish the result without checking and polishing it. But it can be great if you use AI as an acceleration tool rather than as a replacement for thinking. Our plugin gives you this tool. What you do with it is up to you.

Let me share one more observation that came from practice. We noticed that stores that use the content module are starting to receive unexpected bonuses that they didn’t think about at launch. A regularly updated blog with quality articles changes the perception of a brand. Buyers begin to perceive the store not as “another display case with goods”, but as an expert resource. This is especially noticeable in B2B - when a plant buyer sees detailed technical articles, comparison tables and application guides on your website, the level of trust in you as a supplier grows radically. One of our clients told me that after six months of actively blogging, they began to contact him directly - call and say: “We read your article, we need advice on selecting oil for such and such equipment.” This is no longer a cold sale - this is an incoming request from a warm client who found you through content.

And here’s what else is important to understand about the economics of content marketing in the long term. Contextual advertising works as long as you pay. Turned off Direct and the traffic disappeared. With content it’s the other way around—each article accumulates value over time. A year later you have not one article, but a hundred. In two - two hundred. Each of them brings small but stable traffic. In total, this is tens of thousands of visitors per month who come for free. I've seen stores where the blog became the main source of traffic after three years, surpassing both context and direct visits. And these were not market giants, but ordinary medium-sized stores with a catalog of several thousand items.

I often think of the calculator analogy. When calculators appeared, people were afraid that everyone would forget how to count. We haven't forgotten how. They just began to count faster and more accurately. AI for content is the same. You will not forget how to write. You will simply do it ten times faster, and you will have time for what really matters - strategy, analysis, communication with clients.

If you run an online store using WooCommerce and still don’t use content marketing, now is the time to start. Not because “everyone is doing it,” but because the tools have finally become smart and accessible enough to make it possible. You don't need a staff of copywriters. You don't need a budget of hundreds of thousands of rubles. You need a plugin, twenty minutes to set up a content calendar, and twenty minutes a day to check drafts. Try COS WP Woo - the content module is included in all licenses, and I'm sure that after a month you will be surprised at how much quality content you can create when the routine is automated.