Searchspring Review

An Intelligent Searchbar That Provides A Seamless Search Experience

Searchspring is the preferred search site solution for many large eCommerce businesses because it can be used for setting up a searchbar that functions intelligently, giving online shoppers the ability to specify the products they intend to search, understand the exact products they are looking for, and avoid doing a lot of clicking. Whether they are searching for products from a PC or smartphone, the platform provides them with a seamless and delightful search experience.

Understand Your Products

To provide search results that are relevant to their online shoppers, Searchspring ensures that users are able to completely understand the products they are showing in search results. Because of this, the platform has a product awareness feature that lets them analyze product information so they can determine what a particular product is all about such as its type, usage, features, attributes, and other related details.

Natural Language Processing

The search site and merchandising platform implements natural language processing that captures the search intent and context of every search query online shoppers are making. Through natural language processing, users will be able to automatically analyze the semantic information included in search queries, allowing them to enable the recognition of sophisticated characters, detection of measurements, and classification of products through product typing.

Define Searchable Fields For Specific Product Information

Some online shoppers are searching for products by typing in specific pieces of information and details related to those products. This is because they search and purchase products based on certain attributes or criteria. With Searchspring, online shoppers can easily perform this through the aid of searchable fields. Searchable fields are comprised of all information associated with a particular product. Users can set up and define these fields so online shoppers can quickly find the specific product information and details that are most important to them.

Boosting Rules To Show Search Results Based On Business Objectives

Searchspring can adjust the order or arrangement of products showing in search results based on boosting rules. These rules are any rules that users can set up to reflect their business processes and objectives. For example, they can create a boosting rule so that new products are shown at the top of search results and they are arranged in such a way that those products with the higher margins are displayed first.

Redirect Feature

Searchspring also has redirect feature. With this feature, words or phrases that do not have corresponding search results can be defined. When these words or phrases are entered into the search box, the searcher will be redirected to specific pages that are not showing product search results but rather pieces of information that are related to those words or phrases. For instance, typing in the word “returns,” triggers a redirection to the return policy page.

Set Up Various Types Of Facets

The search site and merchandising platform offers navigation capabilities that optimize the experiences of online shoppers as they browse through category pages. One of them is the capability to create various types of facets. Facets are mechanisms or filters that online shoppers  can use to make sure that they will be able to view only the search results or products that are most important to them. The different facets which can be set up using the platform can be displayed through multi-select options, palette options, grid boxes, sliders, and even images.

Show Relevant Facets And Automatically Eliminate Empty Facets

As users set up facets, Searchspring permits them to use and show only the facets that are applicable to products which have values for such facets. When an online shopper is viewing a list of products that do not contain values for a particular facet, such facet is automatically eliminated.

Display Facets And Set Facet Order For Each Category Listing Page

In addition, users have the option to define which facets they want to include and display on every category listing page. They can also arrange the facets in each page in any way they want.

Provide Multiple Customizable Sorting Options

As part of its navigation capabilities, Searchspring allows the setting up of various sorting options which can be customized. Because of this, online shoppers can sort products using multiple attributes or criteria such as price, date, size, and more.

Increase Product Exposure And Improve Shopping Experience

Searchspring comes with product discovery tools which help users increase the exposure of relevant products, streamline how online shoppers look for the products they want while giving them the opportunity to explore other choices and alternatives, and create seamless shopping experiences.

Product Recommendations/Suggestions

One of those tools is the product recommendation tool. This tool permits users to have their online shoppers view products or items that are similar to the products or items they are adding to their shopping cart and placing orders for. What’s great about this is that the product recommendations can be personalized, reflecting the preferences and personal tastes of online shoppers as they purchase.

Guided Selling Tool

Searchspring delivers a guided selling tool that assists online shoppers in narrowing down the products they can choose from while they are searching, browsing, and shopping. This tool utilizes questions which they can answer so that they can find the exact products they want, providing them with the ability to filter their product choices without disregarding the product features and attributes they prefer.

Automate And Accelerate Visual Merchandising

The search and merchandising solution is built with a set of tools aimed at accelerating merchandising processes. With these tools, users will be able to create landing pages, gather products, and launch marketing and merchandising campaigns automatically.

Create And Customize Landing And Search Pages

Searchspring has a visual merchandising tool which allows users to configure how specific search pages operate or behave and customize how such pages look. When it comes to creating landing pages, the platform offers a tool that permits them to generate customizable landing pages from product listings they handpicked.

Drag And Drag Products In A Grid

When users are done creating landing pages and search pages, they can then add products to these pages through the aid of a drag-and-drop editor. This editor has a grid that guide users to accurately position the products based on the order or arrangement they prefer.

Create And Launch Merchandising Campaigns

Launching merchandising campaigns using Searchspring is a breeze. Users can set up various merchandising campaigns and prepare schedules for them which define the range of dates or times when such campaigns will be officially launched.

Shopper Scenarios And Custom Triggers

As users set up merchandising campaigns, they can also create different shopper scenarios where those campaigns will be applied to. A merchandising campaign can be implemented on multiple shopper scenarios simultaneously or can be created to handle complex shopper scenarios. In addition, Searchspring uses custom triggers to define how each campaign will be carried out depending on the shopper scenario where it is implemented. For example, a specific shopper scenario can trigger the showing of banner in multiple product categories and searches.

Reporting And Analytics

Reporting and analytics features are included in Searchspring, letting online retailers and merchandisers collect and analyze data related to searches, navigation, and customers’ behaviors and interactions so they can gain actionable  insights and discover opportunities where they can increase conversion rates or sustain high conversion rates.

Gain Insights Into Query Sources

The reporting and analytics features of Searchspring is comprised of a feature called overall search activity. With this feature, users will be able to track the sources of search requests the platform is processing. Thus, they can determine which source is generating the highest number of queries. Search request sources can include shoppers, search engines, or custom IP address groups.

Identify Commonly Used Search Terms

Searchspring also provides the capability to gain insights into the most commonly used search terms. As a result, users will be able to easily identify the types of products that online shoppers are usually looking for on their site.

Understand Filters And Sorts

If users want to access data on which filters online shoppers are commonly using as they navigate through pages and narrow down their searches, the platform makes that possible too. They can also access data that show how online shoppers are sorting products across pages.

Track Customer Interaction And Journey

The platform makes it easy for users to track the activities being performed by online shoppers on their site. In fact, they can obtain data about the number of important activities and interactions an online shopper has made so far on the site, permitting them to understand customer journey and the events that are most likely leading to conversions.

Product And Category Insights

Tracking the performance of products and the category listing pages where those products are found is also made possible. Users can identify which products are often searched and purchased by customers and how they are interacting with those products. When it comes to tracking the performance of category listing pages, they can view performance metric breakdowns for each page to gain insights into how customers are interacting with the category listing pages.

Evaluate The Revenue Impact Of Searchspring Features

To wrap it up, a specific Searchspring feature can be a contributory factor for revenue generation. This means some features of the platform may tend to convert more customers than other features. Because of this, Searchspring enables users to discover how each feature of the platform influences the purchasability of their products and impacts the way they generate revenue.