Recommend Searches | Not just keywords,
but based on user behavior and on-screen analysis

As user explores website or application, they have an application in front with tons of buttons, link, dropdowns multiple cart options.

As the user starts to explore, it is difficult and tedious for them to think the right keywords and sometimes they subconsciously do not realize what they intend to search exactly.

Searchbar.Ai comes here to help them recommend them their next search options based on how they browse page or product categories.

Search Cards | Recent searches are now intelligent.

Recent searches are an important factor in user experience and user retention. Most users are not sure of which product to explore and keep searching for various products.

Users wish to compare, go back to some search or look at the exact section in a page, the conventional way of recent searches are unable to do this. In most cases the user is unable to go back to a product they might have liked and forget what to search again

However, there is a pattern in recent searches too. SearchBar.Ai is built to bring intelligence and easy flow to recent searches.

It opens recent searches at exactly where the users left that search or page so that users can find, compare and don't miss some important products they searched for. Not just this, it analyses the current searched product and brings the most relevant recent search cards closer.

Further, it puts the recent search cards right in the search bar window and they don't lie just anywhere. Thus, recent searches enhance both user experience and retention with allowing users to relook products rather than leave disappointed with a particular product.

Search Stack | Different products searches grouped as stack cards of an each category

Suppose your user searches shirts, trousers, and heads to the jacket and maybe bedsheets.

SearchBar.AI stacks the product of different category in category wise stack of similar searches. So they just not been shown some random shirt or a trouser they searched dut stacks similar searches together and makes the different card based on individual categories.

So while they may not like the shirt you show in recent searches, they would certainly like to go back to search as per product categories and Hey! did we say their keywords remain intact as they exactly searched for that category and are improved by our learning engine

Push Notifications and Emails | Nothing more personalized than searches.

Searchbar.AI brings in user interaction at relevant scale and use. The pattern building algorithm understands what the user is interested in searching and maybe didn't find the right product.

Surely they are keen to get updates on it. But it is irrelevant to suggest them a product but rather some important features from the products they searched and what in those products they focussed on.

So, SearchBar.Ai understands not just from keywords what the user is interested in but also their behavior and browsing patterns.

So a push notification involves more keywords, information that they searched for in the searches to help them remember and connect with your notification and emails better and not mark as spam.

Page Search Guidance | Assistant with no pre-fed irrelevant FAQs, but which guides them to explore a page based on their real browsing pattern.

With hundreds of features and options, people may not be focussing on the important features and missing out information that may swing their opinion to use or buy a product.

Searchbar.Ai continuously analyses user behavior and patterns of exploring a page. It then recommends the user based on real-time analytics to focus on the most important information and features which they might not have focussed on enough.

This way you can track their behavior and suggest immediately to explore the options of the page in a more informative way.

So don't let the user leave a page without even looking at the relevant information.

Retention Analysis now has the power of a Real-Time Action | SearchBot Assistant

Retention analytics is important to understand why a user left your platform. However, this is done after collecting months of data.

But you your customer at that moment. SearchBar.Ai brings in two unique features

Based on customer behavior pattern and search/page analytics real-time communication through bots is initiated to make sure

Also, this analytics is done to understand users with similar behavior, and supervised steps are taken in communication when any possibility occurs that the user is going to leave a site. This can be in the form of giving a new search suggestion, highlight more features, or ask the user to look at previous searches in a new way.