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AI-powered widget for ecommerce websites to increase sales up to 20%

Usually users don't know exactly what product they want. Simply add Sellesta's widget to your online store, ask them a few simple questions and recommend the right products.
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  • No Coding required
  • No Credit Card required
  • Free 14-day trial

Customers struggle to figure out which filter to apply to find their desired product

I want a robot vacuum cleaner:

  • I don’t want to waste time on daily cleaning
  • I have a cat and a fleece carpet that’s full of hair
Input string with a queryInput string with a query

Online store: 800 items found

Please apply filters to choose your perfect model:
Choice by category

Regular customer doesn’t know which filter type is better or how much working hours would be enough for cleaning and how big container size should be

Introducing a completely different approach to ecommerce site search

1

Get relevant information from your users

The user answers 5-7 simple questions to help us understand what they’re looking for. Filling out a short questionnaire takes less than a minute!

2

Analyze their responses

Sellesta automatically analyzes user responses and converts them into a set of relevant filters and characteristics

3

Show them a set of the most relevant products

The user gets a selection of 10 products that match their search criteria. No need to manually scroll through hundreds of irrelevant product options!

Benefits for your users

51%

Average conversion per click on the offered products in the selection

93%

Of users answer all the questions in the questionnaire

20 sec

The average time from beginning the survey to receiving a selection of products

2.5

The average number of times website visitors use the Sellesta Website Personalization tool per visit to get product recommendations based on their input

Benefits for your online store

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More pages viewed per user:

+30% on desktop
+23% on mobile

Save your users from chaotically going through your website pages trying to find the item they want. Instead, show them exactly what they are looking for.

Icon with a bag

Higher time spent by users:

+10% on desktop
+39% on mobile

With Sellesta Website Personalization, users spend no more than 20 seconds on the actual product search. Presented with a set of items that meet their needs, they can research each relevant product in more detail and make informed purchase decisions.

Сustomer Success Stories

+10%

of new orders from the catalog

Аbout company
The leader of the perfumery and cosmetics industry
Read the case study
+4%

of new orders on out of stock products

Аbout company
The leader of the perfumery and cosmetics industry
Read the case study
+16%

of revenue from new customers

Аbout company
Electronics store, more than 65,000 products in stock
Read the case study
+87%

of new orders from the 5th page of the catalog

Аbout company
Online store of clothing and clothing
Read the case study
x2%

new orders in the basket

www.elbalcon.com

The leading cosmetics store in Latin America
Read the case study
1
of
5

Case

Leader of the perfumery and cosmetics industry, 25 years in the market,
Countries: three
Website traffic: >1m unique users per month

Problem

Low purchase conversion in the perfume category.

Solution

A short series of targeted questions was added to the catalog pages. This included questions such as who the perfume is for, what is the mood or season the customer wants to capture, and so on. Following the answers, the visitor received targeted recommended perfume products that fit their criteria.

After the implementation of the widget, the conversion from a visitor to an order on the site increased, as users began to find the products they were looking for. We try not to do anything without testing, in this matter we found ourselves on the same side with the Sellesta team.

The analysis of the choice of users by category also brought a non-obvious benefit to the business, we received additional information in which categories there is more demand and thanks to this we expanded our assortment, and also changed the order of filters in the catalog output, which helped us to get into the sale additionally.

José H.
CEO of the company
Result
+12%
The number of created baskets
+10%
The number of completed orders

Case

The leader of the perfumery and cosmetics industry, 25 years on the market,
Countries: three
Website traffic: >1m unique users per month

Problem

Low purchase conversion among visitors who were looking for an out-of-stock product.

Solution

The company has a catalog that includes thousands of products, which makes it difficult to immediately hide product pages if it is out of stock.

We added the Product Recommendations widget to these pages, to increase the number of orders by not losing visitors who were ready to buy, but did not find the right product.

We have always had a problem with the out-of-stock of goods. In conditions of high competition in the market, the user quickly goes to competitors if he does not find the right one.When we started working with Sellesta, colleagues had the idea to add a special widget that would recommend similar products to the user, but which are available.

Users willingly started using features and we were able to convert seemingly lost users into buyers. Thanks to Sellesta for \non-standard approach to solving customers problems!

Raúl R.
CMO of the company
Result
+1.1%
The number of created baskets
+4%
The number of completed orders

Case

Electronics store,
more than 65,000 products in stock

Website traffic: >1m unique users per month

Problem

Low revenue in the laptops category compare to other products

Solution

Choosing a new laptop can be difficult, but we believed that by simplifying the process and asking the right questions, we would be able to improve conversion. 

The Product Recommendations widget was added to the catalog pages and we ran an A/B test in which 50% of users had the opportunity to use the widget.

We noticed a trend towards a decrease in user conversion to payment on the desktop version of the site. At the same time, the time spent on the site and visiting the pages indicated that users are actively studying the information, but for some reason they do not dare to take action.

When we implemented the widget, we didn't believe the results at first. In addition to the growth of conversion in the catalog, the average order price has also grown. It turned out to be easier for users to decide on a large purchase if they received a recommended product selected specifically for them.

Madison T.
Marketing lead
Result
+42.2%
The number of created baskets
+10%
The number of completed orders
+16%
Revenue

Case

The leOnline clothing store,
20 years in the market,
Countries: two
Website traffic: >3m unique users per month

Problem

Low conversion to purchase on the second and further pages of the catalog.

Solution

To help move excess inventory, we added the Product Recommendations widget to the second and further pages of the catalog to help make more targeted suggestions to the visitor on what they were looking for.

We decided to use Sellesta Product Recommendations to increase conversions on our catalog pages and personalize the site. At the moment, the plan has been implemented and we see a systematic growth of metrics. Further plans are to use more features of the platform, in particular, to work with out-of-stock products and implement a widget on the main page. Thanks to colleagues from Sellesta for their prompt assistance and expertise.

Andrew S.
Marketing lead
Result
-46%
The number of completed orders from page two
+87%
The number of completed orders from page five
+39%
The total number of completed orders from the catalog

Case

The leading cosmetics store in Latin America,
40 years on the market

Website traffic: >80K unique users per month

Problem

Low purchase conversion for perfumes in the desktop version of the website.

Solution

We added the Product Recommendations widget to the desktop version of the category pages, to help provide targeted suggestions for purchase, and showed the widget to part of the traffic. Within a few days there was an increase in the number of baskets created.

Result
+7%
The total number of completed orders
+50%
The number of completed orders in desktop version of the website

FAQ

How is a questionnaire created?

All questions are created by industry experts. We will closely collaborate with you and go through each category to select the most appropriate questions and adjust the filters. Here’s a list of questions for an online store that sells baby strollers:
  - How many seats do you need in a baby stroller?
  - How old is the baby you’re choosing a stroller for?
  - Where are you planning to use it?
  - How are you going to transport it: public transport or car?
  - Do you need a basket/bag?
  - What’s your budget?

How are product sets compiled?

Each question is supported by pre-programmed logic. Products are included in the list based on relevant attributes and the user’s input. This logic is specifically designed for each product category

Where do you get data on the products carried by the store?

RCMX can connect to either market's or aggregator's product feeds or to your online store data. This way, product sets will only display relevant prices and include only in-stock products

What if there are no product attributes on my website?

RCMX algorithms know almost everything about the products in the selected category. The data is collected from various sources, so even if the store has no data, RCMX will still deliver relevant selections for a user request

What if there’s no suitable product?

Sometimes user requests can be very specific. In this case, RCMX displays products that match the most important criteria or the most relevant attributes, not including the less important ones. And if the algorithms are still unable to find matching products, they will simply show the top best-selling products based on your selling history. This way, the user gets one of two: the most relevant products or the ones recommended by the store

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