{"id":34130,"date":"2022-05-04T15:52:03","date_gmt":"2022-05-04T15:52:03","guid":{"rendered":"https:\/\/www.bloomreach.com\/?post_type=library&p=34130"},"modified":"2025-05-30T10:24:22","modified_gmt":"2025-05-30T10:24:22","slug":"the-ultimate-guide-to-search-relevance-2","status":"publish","type":"library","link":"https:\/\/www.bloomreach.com\/en\/library\/guides\/the-ultimate-guide-to-search-relevance-2","title":{"rendered":"The Ultimate Guide to Search Relevance"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

Search relevance is an essential aspect of the search engine experience. The whole point of using a search engine is to find relevant search results quickly and easily. Early web search engines had basic algorithms that returned generic search results, but with technological advancements, modern search engines have become smarter and can now return more relevant and personalized search<\/a> results.<\/p>\n\n\n\n

Improving search relevance involves using search algorithms and relevance rankings to provide users with the most relevant search results. Measurable relevance improvements can be achieved by employing techniques such as incorporating secondary data sources, which can provide additional context and depth to a user’s search query. By doing so, search engines can return engaging search results that align better with what users are searching for.<\/p>\n\n\n\n

Users’ search behavior has also changed, with people typing more specific and complex queries into the search bar<\/a>. Creating a relevant search experience is crucial for any search engine. By incorporating secondary data sources and using smarter search algorithms and relevance rankings, businesses can deliver the most relevant search results to their customers. This can lead to more engaged users, increased conversions, and higher customer satisfaction.<\/p>\n\n\n\n

As human beings, we appreciate the choice. We all have unique preferences, from ice cream to streaming services. In its purest form, choice is the ultimate expression of free will. These days, there are a lot of choices out there, especially when it comes to online shopping. It can be tough to feel like you\u2019re making the right decision as a customer. This often leads to the common phenomenon of analysis paralysis, where the paradox of choice<\/a> rears its ugly head, and you\u2019ll only end up with too many options and fear of making the wrong choice.<\/p>\n\n\n\n

From a digital commerce<\/a> perspective, it might be just as difficult for you to select a technology vendor (or vendors) that will accommodate the customer, help you stand out from the rest of the digital crowd, and improve your company\u2019s return on investment (ROI). If you\u2019re looking to help your customer along their purchase journey, the solution lies in creating winning digital experiences with a flexible, agile tech stack. <\/p>\n\n\n\n

Bloomreach CEO and co-founder, Raj De Datta, believes these winning digital experiences are built for the seeker, not just the customer. Too often, we think of our target prospects in a limited way: They are customers \u2014 plain and simple. But human beings are much more complex and assume multiple roles in their daily lives: an employee, a mentor, a parent, a sibling, or a spouse, to name a few. Before they become customers, they are seekers with a purpose that they hope to fulfill. It\u2019s your objective as a business to ensure its success.<\/p>\n\n\n\n

By shifting from a \u201ccustomer-centric\u201d to a \u201cseeker-centric\u201d viewpoint, your company upholds answers over results and participation over consumption. According to De Datta, \u201cThese companies recognize that while choice is great, we can do much more to make the experience positive and productive.\u201d But where do you start when there are so many solutions that seem to be worth your investment dollars? <\/p>\n\n\n\n

Fortunately, the ecommerce industry is quickly refining itself to meet the demands of the seeker, as indicated by CommerceNext<\/a>\u2019s recent report with CommX, \u201c2022 Digital Trends & Investment Priorities<\/a>.\u201d The data collected in this all-new report illustrates that 31% of the surveyed retailers believe \u201con-site experience\/conversion optimization\u201d is their top sales priority for this year, while 64% see it as their top two priority.<\/p>\n\n\n\n

Because transactions have been the main focus of ecommerce over the past two decades, many companies haven\u2019t begun to unravel search\u2019s significance in digital experiences<\/a>. Search relevance, a digital strategy that attempts to bridge queries to answers via search results, is a tactful approach that appeals to a prospect\u2019s interests and motivations. This guide will help you unpack the basics of search relevance, its importance in today\u2019s market, and its ability to generate more revenue for your business.<\/p>\n\n\n\n

Search Relevance Fundamentals<\/h2>\n\n\n\n

What Is Search Relevance?<\/h3>\n\n\n\n

The Basic Definition of Search Relevance<\/h4>\n\n\n\n

Search relevance sounds pretty great on paper, but what is it exactly? In the simplest terms, search relevance happens when a page of search results matches what a user types into the search bar. Of course, there\u2019s a lot more to it than just this. <\/p>\n\n\n\n

Since the internet is overloaded with choices and all the information that accompanies those choices, it\u2019s difficult to monitor and solve for search relevance with human effort alone. By investing in a top-tier product discovery solution, you\u2019ll guide the seeker to the transactional portion of their journey where they can convert into a customer.<\/p>\n\n\n\n

The Basic Objective of Search Relevance<\/h4>\n\n\n\n

Millennials and zoomers aren\u2019t just looking to purchase a product or service on your ecommerce website; they\u2019re also searching for memorable customer experiences that align with their concerns and beliefs surrounding sustainability, ethics, and inclusion. Because seekers have harnessed the power of choice in today\u2019s market, they have room to insert their values when making purchasing decisions. So, while the internet has helped us in many ways, it has also shifted our expectations in many others. <\/p>\n\n\n\n

As a business trying to survive the tumultuous landscape of the world, your company must focus on these preferences to thrive, and search relevance is just one of the numerous ways you can provide better experiences online. After all, the seeker can simply hop over to your competitor if they don\u2019t like the user experience (UX) of your website<\/a>, so why wouldn\u2019t they do the same when your search bar returns irrelevant or even null results? If you truly see your business as part of the seeker-centric movement, you\u2019ll need to eliminate any frustrations for your prospects, beginning with product discovery.<\/p>\n\n\n\n

How Is Search Relevance Delivered?<\/h3>\n\n\n\n

A Review of Semantic Understanding<\/h4>\n\n\n\n

Contextual knowledge is extremely valuable when you\u2019re having an in-person conversation with someone. Your tone, delivery, and body language all convey meaning to the person on the other end of the exchange. But search bars on ecommerce sites often miss out on the nuances of human speech.<\/p>\n\n\n\n

Thankfully, artificial intelligence (AI) will allow your search bar to understand your products on a deeper level<\/a> and present them in ways that make sense to your customer. Smart search bars with extensive dictionaries and multilingual capabilities can identify words and separate product types from attributes like colors, brands, and sizes. Take \u201cchocolate milk,\u201d for example. AI would separate the attribute (chocolate) from the product (milk), so there will never be a mix-up between \u201cchocolate milk\u201d and \u201cmilk chocolate\u201d again. This combination of natural language processing (NLP) and machine learning (ML) is referred to as \u201csemantic understanding.\u201d<\/strong><\/p>\n\n\n\n

Retrieval and Ranking Algorithms Uncovered<\/h4>\n\n\n\n

Although the inner workings of semantic understanding are far from simple,<\/em> site search technology simplifies<\/em> the approach into two algorithms: retrieval<\/strong> and ranking<\/strong>. While these algorithms are not unique to the commerce industry, they both work together to create an optimal search bar that retrieves all relevant products and ranks them accordingly to maximize business impact.<\/p>\n\n\n\n

Once the search query is parsed by attributes and product intent, search technology will enhance the query with synonyms<\/a>. This enhancement serves a two-fold purpose: to eliminate null results and expand the relevant ones that are returned. Not only will expanded search results help the seeker find exactly what they\u2019re looking for, but it will also encourage them to look beyond a singular intended purchase while converting into a customer. <\/p>\n\n\n\n

For example, if someone is searching for a \u201ccrimson evening gown,\u201d the color attribute \u201ccrimson\u201d will be enhanced with other similar descriptors, such as \u201cruby,\u201d \u201crose,\u201d \u201cmaroon,\u201d and so forth, and the product type \u201cdress\u201d will become interchangeable with \u201cgown,\u201d \u201ccocktail dress,\u201d and \u201cparty dress.\u201d An expansive list of synonyms for a product and its accompanying attributes ensures relevant results that match all parts of a query in an order that makes sense to the seeker.<\/p>\n\n\n\n

Because transactions have been the main focus of ecommerce over the past two decades, many companies haven\u2019t begun to unravel search\u2019s significance in digital experiences.<\/p>\n\n\n\n

The Value of Good Data Quality<\/h4>\n\n\n\n

Big data has been a big<\/em> deal for the past decade, and its acceptance has allowed for innovation and convenience in just about every facet of our lives, from fighting the spread of COVID-19 to allowing our businesses to operate more efficiently. Despite the strides that big data has made in recent years, organizing, managing, and even storing data can take a village, which is not exactly a smart approach for your company from a labor perspective. <\/p>\n\n\n\n

Unfortunately, product discovery won\u2019t live up to its full potential without good data. First, you\u2019ll need rich product data<\/em> \u2014 information about a product that can be read, measured, and structured \u2014 in a usable format. Add in some customer data<\/em> from your customer data platform (CDP)<\/a>, and your ecommerce site will have the commerce data<\/strong> it needs to identify and adapt digital experiences to each seeker\u2019s preferences. The better the commerce data<\/a>, the better the product discovery and overall digital experience.<\/p>\n\n\n\n

Even if your product data is far from perfect, the right technology can fill the void. Search solutions in the ecommerce industry often tap into historical data to improve findability, merchandising, and recommendations for brands. As time goes on, self-learning AI will gain a deeper understanding of your customers and apply this contextual knowledge to your product catalog. The mutually beneficial relationship between data and AI is a huge advantage when gathering deep analysis to refine your search strategy, tailoring online shopping experiences, and improving conversions<\/a>.<\/p>\n\n\n\n

Strategies to Optimize Search Relevance<\/h2>\n\n\n\n

Site and Search Merchandising 101<\/h3>\n\n\n\n

When it comes to in-store merchandising, physical displays of products are strategically arranged to appeal to the customer and achieve sales goals. Think of lavish holiday window displays or the hard-to-deny, last-minute purchases that stare at you down in the checkout lane. Window displays and checkout lanes are prime locations with a lot of visibility inside a brick-and-mortar storefront, making them the perfect spot for \u201cbig bet\u201d products.<\/p>\n\n\n\n

Your intention online should be the same as it is in-store: leveraging product placement to maximize conversions<\/a>. In other words, your site search is an excellent way to place products in front of a seeker at the most opportune time. This is why site search and digital merchandising are such popular strategies among commerce businesses hoping to better arrange and optimize their website, especially as they look to these various digital solutions to increase revenue. <\/p>\n\n\n\n

Similar to traditional merchandising, the way you display your products online is completely up to you and your business goals. Whatever your strategy, your objective should always be curating search results that guide and engage the seekers and inspire them to take actionable steps in the sales cycle.<\/p>\n\n\n\n

How Self-learning AI Contributes to Search Relevance<\/h3>\n\n\n\n

It\u2019s no secret that cloud infrastructure has promoted the democratization of AI. These days, AI is available to everyone, and more importantly, the technology has seen major improvements due to its larger availability. This fortunate chain of events has led to a significant shift in the ways we can use AI to our advantage, whether it\u2019s supplementing people or processes. Yet, AI is quite the umbrella term, and its meanings are so diverse and complex that they can often be lost or even taken for granted. It\u2019s crucial to grasp how AI breaks down into multiple applications, tasks, and types, such as ML, NLP, and neural networks.<\/p>\n\n\n\n

With the right search solution<\/a>, businesses can leverage AI to crunch large volumes of data coming from prospect information, product catalogs, and business transactions. Then, commerce teams can apply this contextual knowledge to their set objectives, as the AI continues to learn from ever-changing consumer behavior, product changes, and manual team updates. <\/p>\n\n\n\n

A Headless Tech Stack Is the Future<\/h3>\n\n\n\n

Now that you know more about site search and the AI working underneath it, you might wonder where all of it fits into your ecommerce game plan. Since monolithic platforms are slow to adapt and far too limiting for many contemporary businesses, more companies in the commerce space are looking to a \u201cheadless\u201d approach.<\/p>\n\n\n\n

While you\u2019re probably no stranger to APIs, you should know that they strengthen your business\u2019 commerce technology stack by leveraging microservices that own<\/em> their particular area of expertise. To put it simply, the headless approach upholds best-of-breed API architecture, and cutting-edge businesses are now constructing their tech stacks through these point solutions<\/a> that are nimble, customizable, and data-driven to deliver growth.<\/p>\n\n\n\n

The Importance of Search Relevance<\/h2>\n\n\n\n

A (Very) Brief History of Search Engines<\/h3>\n\n\n\n

If you think about it, search engines are the ultimate index to all the information available on the internet. Since the web contains a large amount of content varying in quality, search engines were introduced to present the most prevalent information to users by weighting, or ranking, websites according to their authority and trustworthiness. Ranking is done by evaluating a series of on-page and off-page signals, such as title tags, headings, and page content, and ensuring mobile-friendliness and fast-loading pages. These signals allow search engines to determine which pages are worth presenting versus the ones that are not.<\/p>\n\n\n\n

Although the subject is up for debate like much of tech\u2019s history, experts trace search engines back to 1990 with the release of Archie by McGill University student Alan Emtage. Whether it was the first of its kind or not, Emtage\u2019s contribution paved the way for pivotal developments in commercial versions of search engines, which eventually included the likes of Excite, InfoSeek, Lycos, and Yahoo. Once Google.com was registered as a domain name in 1997, it would redefine how people saw search engines forever \u2014 by upholding relevance above all else.<\/p>\n\n\n\n

\"Customer<\/figure>\n\n\n\n

While there are many tactics to appeal to Google\u2019s algorithms, your business needs to concern itself with the on-page experience, and not just ushering the seeker to your site. As websites, like yours, continue to grow their content and product offerings, seekers are now increasingly relying on the site search bar to show them the way and keep them on the page. The NLP beneath your site\u2019s search bar should deeply understand every word typed into it to put the right information in front of the right person at the right time<\/a>.<\/p>\n\n\n\n

Why Does Search Relevance Matter?<\/h3>\n\n\n\n

With more customers trusting search bars for findability purposes, it might seem obvious why search relevance matters, but let\u2019s dig a little deeper. Like many workflows, search has an inherent scaling problem. Not only does your company have to consider all of its products and services with their price listings, inventory and availability data, and item descriptions, but your business also must examine the individual consumer with their hundreds of different characteristics before processing it all to present personalized results \u2014 at scale. <\/p>\n\n\n\n

Although search engines have revolutionized the way that we find and consume information, options can often overtake relevance. But a merchandiser, or product manager in the case of B2B, doesn\u2019t have time to manually consider all of these elements, and that\u2019s where self-learning, AI-powered search stands to make its most crucial impact. Search relevance will tame the oversaturation of information online \u2014 a place where everything is available, but nothing can be found \u2014 and add up for the following entities in a big way: <\/p>\n\n\n\n

The Seeker (Your Potential Customer)<\/h4>\n\n\n\n

Here\u2019s something to chew on: In North America, there will be an 87.5% uptick in rewarding non-transactional behavior<\/a> within the next three years. As we move away from that \u201cquid pro quo\u201d model of shopping online, businesses have to organically connect all of the stages of the purchase journey and invest in customer experiences (CX) that prioritize the seeker\u2019s purpose.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

There are multiple factors behind the evolution of consumer expectations. The disruptive nature of the internet \u2014 along with all the technologies that succeeded it, such as cloud, mobile, social, and AI \u2014 is one of the many reasons that prospects now appreciate experiences over material possessions. Your business must cater to these preferences by understanding a seeker\u2019s explicit (what they type into a search box) and implicit (what they click on a page of results) intent to convert them into a customer.<\/strong><\/p>\n\n\n\n

The Team<\/strong><\/p>\n\n\n\n

When it comes to site search, businesses often find that they want to make small, manual fixes to the way results are displayed. That\u2019s fine at first, but these patchwork fixes can snowball into major obstacles for your team. Ultimately, these changes can become time-consuming to maintain as your product catalog grows and customer behavior changes. The rules you\u2019ve created will only overlap and have contradictions \u2014 that\u2019s where automation comes in handy. <\/p>\n\n\n\n

An automated search solution will keep your commerce team operating at full speed and prevent you from overloading one person or department with too much specialty information. The level of findability provided by NLP and ML can take your digital merchandising strategy and product placement to a whole new level.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

The Company<\/strong><\/p>\n\n\n\n

Like shoppers, businesses are adjusting to an increasingly digital way of life<\/a>. Since it\u2019s easier to discover and engage with brands we\u2019ve never experienced, there\u2019s more competition than ever before. Pair the pandemic-accelerated move towards digital with supply chain issues and lockdowns, and suddenly, we find ourselves amid \u201cThe Big Switch,\u201d where digital channels are the primary way to communicate, and direct consumer relationships are everything. <\/p>\n\n\n\n

From automotive and banking to healthcare and manufacturing, AI \u2014 like NLP and ML \u2014 fills in voids that businesses experience every day. It can do the same with your site search and create top-notch digital experiences that speak to customers on a personal level, help scale your business, and increase revenue.<\/p>\n\n\n\n

The Personalization Play (and How It Increases Revenue)<\/h2>\n\n\n\n

What Is Personalization?<\/h3>\n\n\n\n

Personalization is one of those common industry terms that could be described in hundreds of ways. Bloomreach defines ecommerce personalization as \u201cthe responsible use of commerce data to better know, guide, and wow your customers with experiences so relevant and contextual that they feel like magic.\u201d Since data privacy and protection discourage the use of third-party data, many brands are pivoting their personalization strategies to rely on zero-party data<\/a>, which is provided directly by the customer, and first-party data that is drawn from your company\u2019s channels and sources.<\/p>\n\n\n\n

Personalization\u2019s Significance in Search<\/h3>\n\n\n\n

Although it\u2019s vital to think about your search bar in your strategy, it\u2019s just as crucial to consider the seeker \u2014 who they are, where they want to go, and what they are hoping to find. They often don\u2019t have the time or patience to sift through hundreds or thousands of products, so give them a better experience by surfacing the items that personally speak to them within a matter of seconds. When it\u2019s all said and done, you need both relevance and personalization to deliver successful customer experiences. <\/p>\n\n\n\n

While search engines like Google attempt to deliver relevant information, social media companies such as Meta, set the precedent around personalization. Sure, intent matters, but it\u2019s nothing without considering the person behind it. Yet, despite 85% of businesses saying they are providing these \u201csomewhat personalized experiences,\u201d<\/a> <\/strong>only 60% of consumers agree that brands are actually delivering on this promise.<\/p>\n\n\n\n

Search Relevance + Personalization = Revenue<\/h3>\n\n\n\n

As you\u2019ve learned, there is more to site search than just the technicalities of it all \u2014 what tends to get lost in translation is the value of such a service. Certainly, you\u2019ll want a return on that investment when you devote a portion of your spend to any solution. You\u2019ll also want to ensure that you\u2019re allocating your budget to the best tool(s) for your short- and long-term goals. Based on the data collected from CommerceNext and CommX<\/a>, respondents believe that both personalization (61%) and site search\/guided navigation (57%) are the website experience upgrades with the most potential to drive growth, conversions, and revenue in the immediate future.<\/p>\n\n\n\n

By committing to a seeker-centric mindset and investing in personalized site search, your business can improve revenue per visit (RPV), average order value (AOV), and add-to-cart rates. Site search also converts higher than browsing, meaning that 15% of your visitors using the search bar today should account for 45% of your revenue<\/a>. If you’re seeing anything less, it’s time to consider a new search solution.<\/p>\n\n\n\n

Personalization Search Relevance IRL<\/h2>\n\n\n\n

So, we\u2019ve talked a lot about search relevance, why it matters, and how it can impact your company\u2019s revenue, but at the end of the day, words are just words. What we mean is that it might be more significant to see search relevance in action. Let\u2019s start by introducing one of Bloomreach\u2019s partners, who is a well-known and respected player in the industry: SAP<\/a>.<\/p>\n\n\n\n

Going Beyond \u201cGood\u201d Search Experiences<\/h3>\n\n\n\n

At Bloomreach, we understand that building relevant, personalized experiences isn\u2019t all you need to succeed in the commerce space. Actionable steps, such as buying, do matter, too. Otherwise, you\u2019ll have nothing to show for your efforts. Although Bloomreach\u2019s mission is to provide relevance and personalization that\u2019s algorithmically optimized for lucrative business outcomes, we rely on our partners to complete other phases of the customer journey.<\/p>\n\n\n\n

SAP Commerce Cloud<\/a>, for instance, is just one of the many products available in the SAP universe and makes a perfect partner for Bloomreach\u2019s objectives. Bloomreach Discovery \u2014 which offers the four core modules of search, recommendations, merchandising, and SEO \u2014 seamlessly integrates with SAP\u2019s back-end commerce services to create an end-to-end shopping experience when connected to any front-end platform of your choice (like SAP Spartacus, for example). Located in the SAP Store<\/a>, Bloomreach Discovery nurtures the seeker\u2019s intent and converts them into a customer. Then, SAP assists the customer through the purchase and fulfillment phases of the journey.<\/p>\n\n\n\n

Here\u2019s how some of Bloomreach and SAP\u2019s customers took advantage of our partnership:<\/p>\n\n\n\n

Canadian Tire\u2019s Multiple Subsidiaries Team Up With Bloomreach and SAP<\/h3>\n\n\n\n

Everyone in Canada has heard of the prolific Canadian Tire<\/a> brand name \u2014 but what they might not know is that Canadian Tire has multiple subsidiaries, including Atmosphere<\/a>, Mark\u2019s<\/a>, and SportChek<\/a>. Like any major entity managing multiple brands, Canadian Tire wanted to create consistent digital experiences across all of its ecommerce websites to convert more online visitors (or seekers) into customers. The company was especially concerned with making its wide-ranging products, including auto parts, homeware, sports equipment, and apparel, more accessible to the seeker.<\/p>\n\n\n\n

The Canadian retailer approached its targeted outcome from a product discovery standpoint and focused on findability through \u2014 you\u2019ve guessed it \u2014 search relevance. Bloomreach Discovery\u2019s site search and merchandising modules served as the perfect solution and provided Canadian Tire with the NLP, advanced attribute extraction, and past visitor behavior intel the company needed to succeed, increasing conversions across all of Canadian Tire\u2019s subsidiary brands by 20%<\/a>. <\/p>\n\n\n\n

As Bloomreach Discovery is a part of SAP\u2019s Industry Cloud program, the partnership between Bloomreach and SAP played an integral role in Canadian Tire\u2019s success. After customers found what they were looking for through Bloomreach\u2019s AI-driven search bar, SAP Commerce Cloud served the transactional portion of the customer journey. While this use case highlights the success of search relevance, it also clearly shows the value of a harmoniously integrated ecommerce ecosystem, where tech solutions can enhance digital experiences together in their respective areas of expertise.<\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

Search relevance is relevant to your customer, and it needs to be a core part of your business strategy moving forward. The seeker behind your potential customer doesn\u2019t want to be part of lumpy and impersonal segmentations with little true insight into who they are and how they exist in this world. When you think of marketing\u2019s past contributions, you should think of this loosely targeted segmentation. <\/p>\n\n\n\n

Forward-thinking commerce professionals, spanning from engineering and merchandising to marketing and customer relationship management (CRM) departments, will invest in on-site personalization that understands the seeker and ensures the offerings you present to them represent your best perception of their intent. These trailblazing businesses will put the seeker at the center <\/strong>of the experience.<\/p>\n\n\n\n

By combining the seeker\u2019s intent, principles, and motivations with search relevance, your business will build a solid seeker-centric approach that intentionally converts them into loyal customers. To get started with your search relevance strategy, check out our latest blog on Bloomreach Discovery\u2019s pricing<\/a>, or take an interactive tour of our solution<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Introduction Search relevance is an essential aspect of the search engine experience. The whole point of using a search engine is to find relevant search results quickly and easily. Early web search engines had basic algorithms that returned generic search results, but with technological advancements, modern search engines have become smarter and can now return […]<\/p>\n","protected":false},"author":15,"featured_media":33262,"template":"","ew-regions":[],"ew-solutions":[],"library_type":[79],"library_blog_tag":[366,362,364],"industry":[82,98,83,99,84,91,92,86,100,87,85],"channel":[278,276,277,333],"topic":[285,286,546],"class_list":["post-34130","library","type-library","status-publish","has-post-thumbnail","hentry","library_type-guides","library_blog_tag-ecommerce-search","library_blog_tag-ai-and-innovation","library_blog_tag-personalization","channel-results-pages","channel-category-pages","channel-product-pages","channel-website","topic-grow-aov","topic-commerce-experience","topic-personalization"],"acf":{"library_blog_banner_content":"","library_blog_banner_cta1_text":"","library_blog_banner_cta1_href":"","library_blog_banner_cta1_new_tab":false,"library_blog_banner_cta2_text":"","library_blog_banner_cta2_href":"","library_blog_banner_cta2_new_tab":false,"library_blog_banner_bg_color":"#EAF7FE","library_blog_banner_cta_text_color":"#FFF","library_blog_banner_cta_bg_color":"#019ACE","library_blog_banner_cta2_text_color":"#000","library_blog_banner_cta2_bg_color":"#FFF","library_blog_chatgpt_content":"","library_blog_chatgpt_cta_href":"","library_blog_chatgpt_cta_text":"Ask ChatGPT"},"_links":{"self":[{"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/library\/34130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/library"}],"about":[{"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/types\/library"}],"author":[{"embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/users\/15"}],"version-history":[{"count":2,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/library\/34130\/revisions"}],"predecessor-version":[{"id":61515,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/library\/34130\/revisions\/61515"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/media\/33262"}],"wp:attachment":[{"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/media?parent=34130"}],"wp:term":[{"taxonomy":"ew_regions","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/ew-regions?post=34130"},{"taxonomy":"ew_solutions","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/ew-solutions?post=34130"},{"taxonomy":"library_type","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/library_type?post=34130"},{"taxonomy":"library_blog_tag","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/library_blog_tag?post=34130"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/industry?post=34130"},{"taxonomy":"channel","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/channel?post=34130"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.bloomreach.com\/en\/wp-json\/wp\/v2\/topic?post=34130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}