The reason turned out to be almost anecdotal. The competitor chose a better frame for the cover, brought to the first screen exactly those advantages that catch the eye, and wrote the product description as if it was read first by people, and then by the marketplace algorithms. So today what sells on marketplaces is not so much the design as the marketing system. And that is why more and more sellers are starting to use Identinka - a service that analyzes the entire card and changes it so that it looks stronger than competitors.
How to make a product card through a neural network so that the buyer stops at your cover
BMost buyers make their first decision even before opening the product card. They scroll through dozens of identical sentences and fixate their eyes on what the brain reads faster. So the first image works like a storefront. If it didn’t stop a person, then he will no longer see either a beautiful description, or reviews, or your advantages.
Imagine two travel mug cards.
Nand the first mug is somewhere in the corner of the photo, only part of it is visible. And the main area of the slide is occupied by blocks of text and some foreign objects. Yes - there may be advantages written there, but first we would like to see the product itself in its entirety.
Nand the second mug takes up almost the entire frame. The texture of the metal is clearly visible, the handles are shown in two positions: unfolded and folded. And this is precisely the characteristic that can attract the target buyer. And the infographics seem to mimic the background, but remain noticeable. At the same time, it contains exactly what may interest the target audience at first glance.
KWhich card will the buyer open? The answer is obvious. That is why the first rule of working with marketplaces sounds unexpectedly simple: Don’t try to tell everything about the product at once. Show one main reason to open the card.
How to turn a smartphone photo into a sales slide
What should be on the first slide
XA good cover almost always meets several conditions:
tthe product occupies most of the image;
fhe does not argue with the object;
andinfographics help, not hinder;
inthe eye immediately understands what is being sold here;
ethere are one or two main advantages, not ten minor ones.
EIf you are not a professional designer, and it’s difficult for you to turn all these words into visuals, then go to a neural network “Aidentika” - number 1 card generator in Russia. Instead of spending hours thinking about which frame to put first and which caption to put on the image, the service analyzes the card and offers options that work better specifically for your product category.
EThis is fundamentally different from universal services that simply know how to create AI images or generate an AI image upon request. Here, artificial intelligence solves not a creative problem, but a commercial one: it helps increase the likelihood of a click.
KIn addition, the Aidentika neural network can work with images in a comprehensive manner. She can change the photo using AI, suggest a different background, improve the composition, adjust the infographics and make the card visually more expensive. In fact, this is no longer just a neural network for working with photos, but a full-fledged assistant to the designer.
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Make your first card in Aidentika for free
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Description using a neural network: why good text sells twice - to people and to algorithms
MMany sellers still treat descriptions as a formality, believing that no one reads them anyway. They actually read. True, not always buyers. But definitely always the algorithms of marketplaces. It is the description that helps the search engine understand for which queries to show the card.
DLet's put it down, an orthopedic pillow is for sale.
Bad option
XNice orthopedic pillow of high quality. Suitable for sleeping. Made from modern materials. An excellent choice for the whole family.
TThis description looks safe. But the problem is that it is the same for about a thousand sellers. The algorithm receives practically no useful information. Now let's look differently.
Good option
OhOrthopedic pillow with shape memory effect helps reduce the load on the neck during sleep. Suitable for side and back sleepers. The cover is made of hypoallergenic fabric and can be easily removed for washing. Thanks to its ergonomic shape, the pillow supports the correct position of the spine and is suitable for people who wake up with a feeling of tension in the neck.
Hhas that changed? First, real search queries appeared. Secondly, the text answers the buyer’s questions. Thirdly, the description begins to work as a small selling material.
AndThis is where the use of AI is especially useful. Modern writing AI is capable of not just rewriting text in beautiful words, but also taking into account SEO, structure, audience pain points and the features of a specific product category.
>>> The neural network aggregator Neurosphere PRO has a separate tool designed for selling descriptions for Ozon and Avito cards <<<
Product advantages: buyers read them differently than sellers think
EThere is an interesting observation. Most sellers confuse features and benefits. The characteristic answers the question: “What is this?” Whereas the advantage answers the question: “Why should this be important to me?”
PTherefore, marketplace algorithms analyze not only the availability of information, but also the completeness of the card, and buyers subconsciously look for the answer to the question: “How will my life become better after the purchase?”
Dlet's put it down, they sell an electric toothbrush.
Poor benefit option
MPower 40,000 movements.
Abattery 1200 mAh.
T3 operating modes.
KUSB cable.
TNow let's look differently.
Good option
BCarefully removes plaque even in hard-to-reach places thanks to a frequency of 40,000 strokes per minute.
OhOne charge is enough for almost a month of daily use - convenient to take on trips.
TThree modes allow you to choose a comfortable intensity for both sensitive teeth and deep cleaning.
ZCharges from regular USB, so you don’t have to look for a special charger.
BRegarding the second option, the characteristics have not disappeared anywhere. But each of them received a human explanation. It is this approach that shows the best results today.
Andinteresting that Aidentika helps to collect benefits. It analyzes the product category based on your original photo, then looks at the competitor’s card reference that you upload and analyzes which wording works better for competitors. It checks with your parameters, which you write down briefly in a special window, and helps you create advantages so that they are both clear to the buyer and strengthen the card in the eyes of the algorithms.
Bfrom what it looks like in the Aidentika interface and what kind of card you end up with:
Pabout the essence, the service begins to think together with the seller. It helps you decide which benefits should be put on the first screen, which ones should be left in the description, and which ones should be turned into infographics.
AndThis is why many sellers today perceive Aidentika website no longer as a regular neural network, but as a specialized AI assistant for marketplaces.
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Generate a card for the marketplace in the Identika neural network
First card free
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Aidentika card generator: how to assemble a card in 15 minutes that previously took several hours to make
EJust a few years ago it was enough to order beautiful photographs of the product. Today this is no longer enough. A card is a whole system where several elements work at once:
tswarm cover;
gsmart infographics;
withstrong name;
SEO-description;
nbenefits written in the language of benefit;
llogical structure of the entire card.
EIf at least one of these elements is weak, conversion begins to decline. Therefore, the task of how to choose a neural network for work is no longer a technical issue, but a business issue.
How to earn the first 50k on cards in neural networks for marketplaces
UUniversal services are well suited for generating individual images or texts. But when it comes specifically to marketplaces, it is more logical to use specialized solutions.
B this is the strong point Identities. She can’t just generate a photo using a neural network online for free, create text or offer design ideas. She understands the very logic of marketplace cards and helps to assemble them as a single selling mechanism.
ETo put it quite simply, most universal neural networks answer the question: “What to create?” And the Aidentika answers a much more targeted question: “What should I change in the card so that it starts selling better?”
AndThis is why the service becomes useful for both experienced designers and beginners who are just starting to work with a neural network from scratch.
Ultimately, a good product card does not come from pretty pictures or a long description. It is born from an understanding of how the buyer thinks and how the marketplace algorithm works. And if previously this took years to learn, today a significant part of this work can be entrusted to artificial intelligence. This is precisely the main advantage of specialized solutions like Aidentika — they help not just create content, but create cards that really work.
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Make your first card in Aidentika for free
After the test, a personal promotional code for a 10% discount will appear.