What the sales funnel is and why it matters
The sales funnel on Ozon tracks the buyer's path from first seeing a product to actually paying for it. At every stage some people drop out, and the seller's job is to get as many of them as possible to the final step.
In plain terms, the funnel shows where you are leaking money and helps you patch those holes. If you review it regularly and act on what you see, you will understand buyer behavior better than most of your competitors - and that is half the way to growth and scaling on Ozon.
Where to find the funnel in your seller account
Open your Ozon seller account, go to the Analytics section and select the Sales Funnel tab. Charts, tables and tips for each stage are laid out there.
You are not just looking at dry numbers: the system itself suggests what can be improved. You compare metrics by stage, find weak spots, make changes and see how conversion and other metrics move over time. It is a working tool that lets you make decisions based on facts instead of guesswork and react quickly to any drop.
Funnel stages and data collection
A classic Ozon funnel has four stages:
- Impressions - the user sees your product in search or the catalog.
- Clicks to the product card - the user clicks through from search results.
- Add to cart - the product is added to the basket.
- Orders and purchases - the product is ordered and paid for.
Data for all these steps is available in the Sales Funnel analytics section. Collect it for the last day, week or month and look at the real numbers: how many potential buyers arrived, how many reached your product cards, how many bought.
How to calculate conversions
At this step you calculate the core metrics:
- CTR = clicks divided by impressions.
- Add-to-cart conversion = additions divided by clicks.
- Order conversion = purchases divided by additions.
For example, if CTR is 1% and add-to-cart conversion is 8%, the bottlenecks are already visible. A CTR below 1-2% is low and needs work. Add-to-cart conversion below 8-10% in many niches means something is wrong with the product card.
Finding leaks and the causes of drops
Next, find where the biggest drop-off is and where metrics are lowest. In practice, the largest losses are usually where conversions are well below average.
Losses at the search-to-click stage. If the metric is below average, your card does not stand out against competitors.
Weak add-to-cart conversion. Common causes are a weak description, too few reviews, poor overall product quality, or unanswered questions. This happens often: the seller does not answer questions, shoppers visit the card, see silence and order less.
Add-to-cart to purchase. Problems here are usually tied to delivery: too long a delivery time, or returns.
Analyzing impressions and deeper diagnostics
Use impression data next. In the Products in Search section, check which queries and positions your product is seen at, and whether visibility, keywords and regions are all correct.
Are you ranking for the right keywords or for irrelevant ones? For regions where you have no stock, you need to replenish. Then go deeper: sort and filter, and group by product, SKU, region and period.
This grouping shows exactly where the leak is strongest - which product or which region. Sometimes everything looks fine across all products, but grouping reveals that one item is lagging or that positions are dropping in a specific region.
Hypotheses and A/B tests
Based on the weak links, form hypotheses. For low CTR, the hypothesis might be to replace the photo, test new infographics, improve the title or rework the description.
For low conversion, consider adding reviews, lowering prices, changing the offer, increasing the share of local sales or joining promotions.
The point is that working with the funnel is not only about counting numbers - you also need to run A/B tests and track the metrics. If metrics start to grow and the funnel improves, the decision worked. Replace the infographics or the text, then check a week, two or three later: did the conversion rate rise, did clickability improve, did conversion increase?
If yes, the bottleneck is fixed. If not, take the next hypothesis and test it. Analysis is not a one-off exercise: do it regularly, weekly, filtering and comparing trends, seasonality and changes.
Accounting for regional differences
Keep regional and cluster logic in mind. Metrics vary a lot depending on where the buyer is. In top clusters you may see high conversion, high clickability and high conversion to order because delivery is short and shoppers click on such offers.
In a remote region you do not ship to at all, the funnel can look completely different. Always check behavior by cluster: somewhere there are few additions but more orders, somewhere the opposite. Factor this into logistics, funnel planning and hypothesis generation.
A step-by-step algorithm for working with the funnel
- Build the funnel from impression to final purchase and review metrics at every stage.
- Collect data for the chosen period, for example a month.
- Calculate conversions at each stage: clicks, add to cart, purchases and so on.
- Identify the stage with the biggest losses and localize the problem.
- Generate hypotheses to fix that specific stage.
- Implement the improvements and test them.
- Measure the result. If the metric did not improve, repeat. If it did, move to the next stage.
This approach lets you regularly clean up the funnel, remove bottlenecks and ultimately increase sales and the overall effectiveness of your presence on Ozon.
Takeaway
Review your Ozon sales funnel regularly, find the bottlenecks and test hypotheses. That is how you grow sales and efficiency on the marketplace.
