{"id":29481,"date":"2023-12-09T02:57:27","date_gmt":"2023-12-08T21:57:27","guid":{"rendered":"https:\/\/ppcexpo.com\/blog\/?p=29481"},"modified":"2025-01-24T09:39:12","modified_gmt":"2025-01-24T04:39:12","slug":"saas-data-analytics","status":"publish","type":"post","link":"https:\/\/ppcexpo.com\/blog\/saas-data-analytics","title":{"rendered":"Decoding Insights: The Power of SaaS Data Analytics Unveiled"},"content":{"rendered":"<p>Software as a Service (SaaS) is swiftly gaining popularity. SaaS data analytics examine and visualize data from SaaS applications to gain insights.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/12\/main-image-1.png\" alt=\"SaaS Data Analytics\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<p>It is becoming increasingly vital to analyze and understand the data generated from these services. Therefore, learning how to do SaaS data analytics in Excel is crucial.<\/p>\n<ol>\n<li><a href=\"#tb1\">What is SaaS Data Analytics?<\/a><\/li>\n<li><a href=\"#tb2\">Why Do You Need SaaS Data Analytics?<\/a><\/li>\n<li><a href=\"#tb3\">SaaS Data Analytics Metrics<\/a><\/li>\n<li><a href=\"#tb4\">Best Charts to Do SaaS Data Analytics<\/a><\/li>\n<li><a href=\"#tb5\">SaaS Data Analytics in Excel<\/a><\/li>\n<li><a href=\"#tb6\">Wrap Up:<\/a><\/li>\n<\/ol>\n<h2 id=\"tb1\">What is SaaS Data Analytics?<\/h2>\n<p>SaaS data analytics constitute data collection, analysis, and interpretation from software-as-a-service (SaaS) applications. It comprises employing analytic techniques to gain insights into customer behavior and preferences. It aids businesses in getting customer insight and optimizing their products and services.<\/p>\n<p>You can track and analyze user activities, such as sign-ups and log-ins, using SaaS <a href=\"https:\/\/ppcexpo.com\/blog\/data-analytics-examples-in-business\" target=\"_blank\" rel=\"noopener noreferrer\">data analytics<\/a>. From this data, you can identify improvement opportunities. Additionally, you can track user involvement to refine your product and boost its usefulness.<\/p>\n<h2 id=\"tb2\">Why Do You Need SaaS Data Analytics?<\/h2>\n<h3>Track User Engagement<\/h3>\n<p>SaaS analytics empowers you to <a href=\"https:\/\/ppcexpo.com\/blog\/google-analytics-engagement-metrics\" target=\"_blank\" rel=\"noopener noreferrer\">track user engagement<\/a> with a product. You can monitor data about your customers to gain an understanding of how customers use your products. Like how interactive they are, what functions they use, and their navigational processes.<\/p>\n<h3>Identify Customer Segments<\/h3>\n<p>You can <a href=\"https:\/\/ppcexpo.com\/blog\/segmentation-in-advertising\" target=\"_blank\" rel=\"noopener noreferrer\">segment your customers<\/a> and gain additional knowledge about them using SaaS analytics. As a result, you can successfully modify your goods and services to suit their needs. Here, metrics like customer demographics, preferences, and behavior are used for tracking purposes.<\/p>\n<h3>Optimize processes<\/h3>\n<p>SaaS analytics makes it possible to improve procedures. You can optimize your <a href=\"https:\/\/ppcexpo.com\/blog\/what-is-a-good-marketing-strategy\" target=\"_blank\" rel=\"noopener noreferrer\">marketing strategies<\/a> by monitoring their effectiveness. This is by tracking metrics like <a href=\"https:\/\/ppcexpo.com\/blog\/what-is-a-good-ctr\" target=\"_blank\" rel=\"noopener noreferrer\">click-through rate<\/a>, cost per click, and cost per acquisition.<\/p>\n<h2 id=\"tb3\">SaaS Data Analytics Metrics<\/h2>\n<p>You can understand the metrics by considering them under different categories.<\/p>\n<h3>Business Analytics<\/h3>\n<p><a href=\"https:\/\/ppcexpo.com\/blog\/business-analytics\" target=\"_blank\" rel=\"noopener\">Business analytics<\/a> help you to gain insights into a business&#8217;s performance.<\/p>\n<p>Business analytics metrics include:<\/p>\n<ul>\n<li>Customer lifetime value (CLV) evaluates a customer&#8217;s value over their relationship with a company. Customer revenue and <a href=\"https:\/\/ppcexpo.com\/blog\/customer-acquisition\" target=\"_blank\" rel=\"noopener\">Consumer acquisition<\/a> and servicing costs determine CLV.<\/li>\n<li>The churn rate determines the customer defection rate. The churn rate is calculated by dividing lost consumers by the total number of customers.<\/li>\n<li>RPC is the total revenue earned from a customer. Customers\/revenue = RPC.<\/li>\n<li>Average revenue per user (ARPU). You divide total income by total users to determine ARPU.<\/li>\n<li>Monthly recurring revenue (MRR)<\/li>\n<li>Annual recurring revenue (ARR)<\/li>\n<\/ul>\n<h3>Product Analytics<\/h3>\n<p>Product analytics provides a product&#8217;s performance insights.<\/p>\n<p>Product analytics metrics include:<\/p>\n<ul>\n<li>Acquisition: Number of users on all stages of the funnel<\/li>\n<li>User engagement: This is the product usage. It also determines the relationship between marketing strategies and customer reaction.<\/li>\n<li>Feature adoption: Percentage of people who use a feature. You divide the number of users who used the feature by the total users to calculate feature adoption.<\/li>\n<li>User flow: This is the path product users navigate visualized as a flow chart or heat map.<\/li>\n<li>Customer Satisfaction: How much the customer is satisfied with the product.<\/li>\n<\/ul>\n<h3>Marketing Analytics<\/h3>\n<p>Marketing analytics reveals the <a href=\"https:\/\/ppcexpo.com\/blog\/campaign-performance-analysis\" target=\"_blank\" rel=\"noopener noreferrer\">performance of a campaign<\/a>.<\/p>\n<p>Marketing analytics metrics include:<\/p>\n<ul>\n<li>Click-through rate (CTR): Determines how many people click a link or ad. CTR is calculated by dividing clicks by impressions.<\/li>\n<li>CPC: The cost of each ad click. Dividing an advertisement&#8217;s total cost by clicks yields CPC.<\/li>\n<li>Customer acquisition cost (CPA). CPA is calculated by dividing the cost of an ad by the number of clients it acquires.<\/li>\n<\/ul>\n<h2 id=\"tb4\">Best Charts to Do SaaS Data Analytics<\/h2>\n<p>Without visualizing your data it is hard to get the best insights. Below are a few visualizations mentioned which can help you to create outstanding dashboards.<\/p>\n<h3>Sankey Chart<\/h3>\n<p>It is useful for tracking user flows, such as sign-ups, log-ins, and product usage.<\/p>\n<p>Let&#8217;s create a <a href=\"https:\/\/ppcexpo.com\/blog\/what-is-data-visualization-used-for\" target=\"_blank\" rel=\"noopener noreferrer\">visual representation<\/a> of the movement of visitors in an e-commerce store.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"71\"><strong>Starting Point<\/strong><\/td>\n<td width=\"79\"><strong>Platforms<\/strong><\/td>\n<td width=\"84\"><strong>View product &amp; details<\/strong><\/td>\n<td width=\"72\"><strong>Read Reviews<\/strong><\/td>\n<td width=\"60\"><strong>Add to Cart<\/strong><\/td>\n<td width=\"72\"><strong>Cart Status<\/strong><\/td>\n<td width=\"87\"><strong>Ending Point<\/strong><\/td>\n<td width=\"57\"><strong>Traffic<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">25226<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">4359<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">8776<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">22141<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">11019<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">7566<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">28490<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">25229<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">4719<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">20291<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">27583<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">16634<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">2732<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">18698<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">24449<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">15449<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">20791<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">7104<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">27416<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">7044<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">20647<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">5910<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">9991<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Mobile App<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">4237<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">21774<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">16768<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">17472<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">17385<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">24458<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Ad<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">25470<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">10366<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">10545<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">19777<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">14721<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">12544<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">External Link<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">5493<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">17644<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">19516<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">18032<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">23120<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">7557<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Direct Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">6221<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">17938<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Exit<\/td>\n<td width=\"57\">20273<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">13466<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Clear Cart<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">8732<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Checkout<\/td>\n<td width=\"87\">Purchase<\/td>\n<td width=\"57\">22547<\/td>\n<\/tr>\n<tr>\n<td width=\"71\">Organic Search<\/td>\n<td width=\"79\">Official Website<\/td>\n<td width=\"84\">View product &amp; details<\/td>\n<td width=\"72\">Read Reviews<\/td>\n<td width=\"60\">Add to Cart<\/td>\n<td width=\"72\">Click on another product<\/td>\n<td width=\"87\"><\/td>\n<td width=\"57\">24823<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The above <a href=\"https:\/\/ppcexpo.com\/blog\/data-visualization-makes-complex-data-more\" target=\"_blank\" rel=\"noopener noreferrer\">complex data<\/a> is then transformed into a chart. It provides information about customer flow at first look with distinct colors and distinct stages.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-1.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<h3>Sentiment Trend Chart<\/h3>\n<p>A sentiment <a href=\"https:\/\/ppcexpo.com\/blog\/trend-chart-example\" target=\"_blank\" rel=\"noopener noreferrer\">Trend Chart<\/a> is a <a href=\"https:\/\/ppcexpo.com\/blog\/bar-chart-examples\" target=\"_blank\" rel=\"noopener noreferrer\">bar chart<\/a> that can also show a trend it with a line. This chart is specially designed to <a href=\"https:\/\/ppcexpo.com\/blog\/data-analysis-in-marketing\" target=\"_blank\" rel=\"noopener noreferrer\">analyze sentiment data<\/a> but you can also use it for non-sentiment data as well.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"64\"><strong>Months<\/strong><\/td>\n<td width=\"64\"><strong>Positive<\/strong><\/td>\n<td width=\"78\"><strong>Negative<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Jan<\/td>\n<td width=\"64\">3220<\/td>\n<td width=\"78\">1590<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Feb<\/td>\n<td width=\"64\">3730<\/td>\n<td width=\"78\">1800<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Mar<\/td>\n<td width=\"64\">2850<\/td>\n<td width=\"78\">2650<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Apr<\/td>\n<td width=\"64\">3380<\/td>\n<td width=\"78\">1700<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">May<\/td>\n<td width=\"64\">3380<\/td>\n<td width=\"78\">1600<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Jun<\/td>\n<td width=\"64\">3490<\/td>\n<td width=\"78\">1990<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Jul<\/td>\n<td width=\"64\">3510<\/td>\n<td width=\"78\">1450<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Aug<\/td>\n<td width=\"64\">3080<\/td>\n<td width=\"78\">2420<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Sep<\/td>\n<td width=\"64\">3290<\/td>\n<td width=\"78\">1040<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Oct<\/td>\n<td width=\"64\">2850<\/td>\n<td width=\"78\">1050<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Nov<\/td>\n<td width=\"64\">2910<\/td>\n<td width=\"78\">2310<\/td>\n<\/tr>\n<tr>\n<td width=\"64\">Dec<\/td>\n<td width=\"64\">3280<\/td>\n<td width=\"78\">1350<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The above data table when transformed into a visualization will give you the below visualization.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-2.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<h3>Likert Scale Chart<\/h3>\n<p>A <a href=\"https:\/\/ppcexpo.com\/blog\/likert-scale-examples\" target=\"_blank\" rel=\"noopener noreferrer\">Likert Scale Chart<\/a> is a bar chart you can use to visualize user feedback. It is essential for identifying user trends and optimizing products.<\/p>\n<p>Let&#8217;s assess customers&#8217; thoughts using this data from a software company.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"278\"><strong>Questions<\/strong><\/td>\n<td width=\"51\"><strong>Scale<\/strong><\/td>\n<td width=\"99\"><strong>Responses<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Was the checkout process easy?<\/td>\n<td width=\"51\">1<\/td>\n<td width=\"99\">138<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Was the checkout process easy?<\/td>\n<td width=\"51\">2<\/td>\n<td width=\"99\">186<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Was the checkout process easy?<\/td>\n<td width=\"51\">3<\/td>\n<td width=\"99\">176<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Was the checkout process easy?<\/td>\n<td width=\"51\">4<\/td>\n<td width=\"99\">230<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Was the checkout process easy?<\/td>\n<td width=\"51\">5<\/td>\n<td width=\"99\">270<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Did the software solve your needs?<\/td>\n<td width=\"51\">1<\/td>\n<td width=\"99\">0<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Did the software solve your needs?<\/td>\n<td width=\"51\">2<\/td>\n<td width=\"99\">138<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Did the software solve your needs?<\/td>\n<td width=\"51\">3<\/td>\n<td width=\"99\">186<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Did the software solve your needs?<\/td>\n<td width=\"51\">4<\/td>\n<td width=\"99\">176<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Did the software solve your needs?<\/td>\n<td width=\"51\">5<\/td>\n<td width=\"99\">500<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Are you happy with your purchase?<\/td>\n<td width=\"51\">1<\/td>\n<td width=\"99\">5<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Are you happy with your purchase?<\/td>\n<td width=\"51\">2<\/td>\n<td width=\"99\">100<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Are you happy with your purchase?<\/td>\n<td width=\"51\">3<\/td>\n<td width=\"99\">146<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Are you happy with your purchase?<\/td>\n<td width=\"51\">4<\/td>\n<td width=\"99\">116<\/td>\n<\/tr>\n<tr>\n<td width=\"278\">Are you happy with your purchase?<\/td>\n<td width=\"51\">5<\/td>\n<td width=\"99\">420<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The above survey feedback data when mapped to visualization, will give you the below.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-3.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<h3>Radar Chart<\/h3>\n<p>A Radar Chart, or spider chart, is a <a href=\"https:\/\/ppcexpo.com\/blog\/types-of-data-visualization-charts\" target=\"_blank\" rel=\"noopener noreferrer\">type of data visualization<\/a> that shows multiple variables and categories along a circular axis, instead of a linear one.<\/p>\n<p>Let&#8217;s see the sample data below which shows a number of orders of different products in different months.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"77\">Month<\/td>\n<td width=\"77\">TV<\/td>\n<td width=\"77\">Smart Phones<\/td>\n<td width=\"82\">Computers<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Jan<\/td>\n<td width=\"77\">80<\/td>\n<td width=\"77\">100<\/td>\n<td width=\"82\">50<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Feb<\/td>\n<td width=\"77\">65<\/td>\n<td width=\"77\">60<\/td>\n<td width=\"82\">55<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Mar<\/td>\n<td width=\"77\">75<\/td>\n<td width=\"77\">95<\/td>\n<td width=\"82\">51<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Apr<\/td>\n<td width=\"77\">80<\/td>\n<td width=\"77\">75<\/td>\n<td width=\"82\">40<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">May<\/td>\n<td width=\"77\">90<\/td>\n<td width=\"77\">100<\/td>\n<td width=\"82\">45<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Jun<\/td>\n<td width=\"77\">85<\/td>\n<td width=\"77\">60<\/td>\n<td width=\"82\">30<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Jul<\/td>\n<td width=\"77\">65<\/td>\n<td width=\"77\">95<\/td>\n<td width=\"82\">39<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Aug<\/td>\n<td width=\"77\">70<\/td>\n<td width=\"77\">75<\/td>\n<td width=\"82\">45<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Sep<\/td>\n<td width=\"77\">80<\/td>\n<td width=\"77\">109<\/td>\n<td width=\"82\">56<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Oct<\/td>\n<td width=\"77\">93<\/td>\n<td width=\"77\">80<\/td>\n<td width=\"82\">39<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Nov<\/td>\n<td width=\"77\">99<\/td>\n<td width=\"77\">109<\/td>\n<td width=\"82\">48<\/td>\n<\/tr>\n<tr>\n<td width=\"77\">Dec<\/td>\n<td width=\"77\">80<\/td>\n<td width=\"77\">75<\/td>\n<td width=\"82\">44<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>When this data is mapped to visualization it provides below final look below by using a <a href=\"https:\/\/ppcexpo.com\/blog\/radar-chart-google-sheets\" target=\"_blank\" rel=\"noopener noreferrer\">radar chart<\/a>.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-4.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzg4Mis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzg4Mis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<h3>Pareto Chart<\/h3>\n<p>A <a href=\"https:\/\/ppcexpo.com\/blog\/pareto-chart\" target=\"_blank\" rel=\"noopener\">Pareto Chart<\/a> is a type of bar chart that you can use to visualize data cumulatively. It helps you to identify the top 20% good or worst which are affecting the rest by applying the Pareto Principle.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"103\">City<\/td>\n<td width=\"77\">Current Period<\/td>\n<td width=\"77\">\u00a0Previous Period<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">New York<\/td>\n<td width=\"77\">540<\/td>\n<td width=\"77\">510<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Chicago<\/td>\n<td width=\"77\">550<\/td>\n<td width=\"77\">545<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">San Francisco<\/td>\n<td width=\"77\">415<\/td>\n<td width=\"77\">399<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Los Angeles<\/td>\n<td width=\"77\">572<\/td>\n<td width=\"77\">533<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Seattle<\/td>\n<td width=\"77\">193<\/td>\n<td width=\"77\">185<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Boston<\/td>\n<td width=\"77\">188<\/td>\n<td width=\"77\">163<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Phoenix<\/td>\n<td width=\"77\">497<\/td>\n<td width=\"77\">485<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Atlanta<\/td>\n<td width=\"77\">215<\/td>\n<td width=\"77\">180<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Philadelphia<\/td>\n<td width=\"77\">489<\/td>\n<td width=\"77\">470<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Miami<\/td>\n<td width=\"77\">387<\/td>\n<td width=\"77\">267<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Dallas<\/td>\n<td width=\"77\">7<\/td>\n<td width=\"77\">5<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Houston<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">St Louis<\/td>\n<td width=\"77\">7<\/td>\n<td width=\"77\">4<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Columbus<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Fresno<\/td>\n<td width=\"77\">6<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Mesa<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Oakland<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">San Antonio<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">San Diego<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">San Jose<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Austin<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Jacksonville<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Fort Worth<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Charlotte<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Indianapolis<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Denver<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Washington<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">El Paso<\/td>\n<td width=\"77\">7<\/td>\n<td width=\"77\">5<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Nashville<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Detroit<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Oklahoma City<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Portland<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Las Vegas<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Memphis<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Louisville<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Baltimore<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Milwaukee<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Albuquerque<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Tucson<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Sacramento<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Kansas City<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Colorado Springs<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Omaha<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Raleigh<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Long Beach<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Tulsa<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Tampa<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Arlington<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">New Orleans<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Wichita<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Bakersfield<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Aurora<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Anaheim<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Honolulu<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Santa Ana<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Riverside<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">5<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Corpus Christi<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Lexington<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Henderson<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Stockton<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Saint Paul<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Pittsburgh<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Lincoln<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Anchorage<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Plano<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Orlando<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Irvine<\/td>\n<td width=\"77\">3<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Newark<\/td>\n<td width=\"77\">7<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Durham<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Chula Vista<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Toledo<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Fort Wayne<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Lubbock<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Jersey City<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Scottsdale<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Reno<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Glendale<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Norfolk<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Irving<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Garland<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Hialeah<\/td>\n<td width=\"77\">4<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Richmond<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Boise<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">2<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Tacoma<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Fontana<\/td>\n<td width=\"77\">5<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Birmingham<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Frisco<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Augusta<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Tempe<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Little Rock<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Overland Park<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Grand Prairie<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Ontario<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Brownsville<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Santa Rosa<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Eugene<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Lancaster<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Palmdale<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Joliet<\/td>\n<td width=\"77\">2<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<tr>\n<td width=\"103\">Midland<\/td>\n<td width=\"77\">1<\/td>\n<td width=\"77\">1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div><\/div>\n<div>The above data table can be best visualized by using the Pareto chart as shown below.<\/div>\n<div><\/div>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-5.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzg4Mis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzg4Mis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<h2 id=\"tb5\">SaaS Data Analytics in Excel<\/h2>\n<p>Excel is a good tool for handling data and providing you with <a href=\"https:\/\/ppcexpo.com\/blog\/what-is-data-visualization\" target=\"_blank\" rel=\"noopener noreferrer\">visualization of data<\/a>. But still, certain data needs very relevant visualization and these are not available by default in Excel. For that purpose, you can install the ChartExpo add-in.<\/p>\n<p>ChartExpo itself is an example of SaaS and it is a powerful tool for <a href=\"https:\/\/ppcexpo.com\/blog\/data-analysis-types\" target=\"_blank\" rel=\"noopener noreferrer\">analyzing data<\/a> for SaaS businesses as well.<\/p>\n<p>With ChartExpo, you can create detailed visualizations on\/with your data to understand trends and patterns. The software is designed to be user-friendly, allowing you to visualize and analyze your data quickly. Whether a <a href=\"https:\/\/ppcexpo.com\/blog\/marketing-strategies-for-small-business\" target=\"_blank\" rel=\"noopener noreferrer\">small business<\/a> or a large enterprise, ChartExpo is the perfect tool for your analytics needs.<\/p>\n<p><strong>How to Install ChartExpo in Excel?<\/strong><\/p>\n<ol>\n<li>Open Excel.<\/li>\n<li>Once it is running, select the &#8220;Insert&#8221; tab, then click to open &#8220;My Add-ins.&#8221;<\/li>\n<li>In the Office Add-ins window, search for ChartExpo in the App Store.<\/li>\n<li>Click the &#8220;Add&#8221; button to install it in Excel.<\/li>\n<\/ol>\n<p>Both Google Sheets and Microsoft Excel support ChartExpo library. To start creating stunning visualizations with just a few clicks, please follow the appropriate call-to-action (CTA) to install this visualization library in your preferred tool.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-1.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGNleHBvKzkyNys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-button-2.jpg\" alt=\"\"><\/a><\/div>\n<p>Let&#8217;s visualize the flow of traffic from the e-commerce data provided above.<\/p>\n<p>1. After installing the ChartExpo plug-in, open the Insert tab on Excel, then select &#8220;My Add-ins.&#8221;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-6.jpg\" alt=\"\"><\/div>\n<p>2. Choose ChartExpo for Excel from the &#8220;My Add-ins&#8221; list and open it.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-7.jpg\" alt=\"\"><\/div>\n<p>3. Once the ChartExpo add-in loads, it will display a range of charts where you can select the chart.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-8.jpg\" alt=\"\"><\/div>\n<p>4. Pick the data from the spreadsheet, then hit the &#8220;Create Chart from Selection&#8221; button.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-9.jpg\" alt=\"\"><\/div>\n<p>5. It will generate a chart, as seen below.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-10.jpg\" alt=\"\"><\/div>\n<p>6. To add color to the nodes, click the pencil icon at the top of the specified node and click &#8220;Node.&#8221; Add your preferred color and make changes, like adding a heading, then click &#8220;Save Changes.&#8221;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-11.jpg\" alt=\"\"><\/div>\n<p>7. The modified chart below illustrates traffic flow from one end to another.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/02\/saas-data-analytics-12.jpg\" alt=\"\"><\/div>\n<h3><strong>Insights <\/strong><\/h3>\n<ul>\n<li>Most website traffic comes from External Ads, which comprise 26.52% of the total visits.<\/li>\n<li>The last traffic source is Direct Search, which makes up 23.67%.<\/li>\n<li>52% of users are accessing the official website, while 48% are using the mobile app.<\/li>\n<li>All users view the product and detail pages and read the review page.<\/li>\n<li>However, only 34% of users follow through when checking out.<\/li>\n<li>29% move on to another product page, and the remaining 37% clear the cart.<\/li>\n<\/ul>\n<p>ChartExpo charts are fully customizable. You can edit the chart and change colors, text, and other properties easily and create a final visualization according to your needs.<\/p>\n<h2>FAQs:<\/h2>\n<h3>What is SaaS analytics?<\/h3>\n<p>SaaS analytics concentrates on how software-as-a-service products are used. It entails gathering, processing, and displaying data about the usage of SaaS applications. It provides companies with crucial information about how customers use their SaaS products.<\/p>\n<h3>What&#8217;s the meaning of SaaS?<\/h3>\n<p>Software as a Service (SaaS) is a software distribution model. Vendors or service providers host applications and avail them to customers over a network. Customers rent access to these applications rather than buying and installing them on their devices.<\/p>\n<h3>What are the benefits of using SaaS analytics?<\/h3>\n<p>Scalability is the main advantage of SaaS analytics. Businesses embracing the cloud can swiftly adjust their analytics capabilities as their needs change. Businesses can also readily implement SaaS analytics into their current procedures and systems.<\/p>\n<h4 id=\"tb6\">Wrap Up:<\/h4>\n<p>We&#8217;ve looked at SaaS data analytics and how to analyze SaaS data in Excel and Google Sheets as well. We&#8217;ve also discussed the different types of SaaS analytics metrics and why you should use SaaS analytics.<\/p>\n<p>Regardless of a business&#8217;s size, investing in SaaS analytics is worthwhile. Businesses can better understand their current standing by analyzing SaaS data. Thus, identify areas where improvements could yield maximum benefits.<\/p>\n<p>Are you looking for a way to take your business to the next level? SaaS analytics is the way to go. With the help of SaaS analytics and ChartExpo, you can better understand your customers. Furthermore, you can optimize your processes and unlock new growth opportunities.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>Need to perform SaaS data analytics in Excel? ChartExpo has a solution for you. ChartExpo is an easy-to-use and powerful SaaS Data Analytics tool.<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/ppcexpo.com\/blog\/saas-data-analytics\"><\/a><\/p>","protected":false},"author":1,"featured_media":33647,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[230],"tags":[276],"_links":{"self":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/29481"}],"collection":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/comments?post=29481"}],"version-history":[{"count":11,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/29481\/revisions"}],"predecessor-version":[{"id":44150,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/29481\/revisions\/44150"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media\/33647"}],"wp:attachment":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media?parent=29481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/categories?post=29481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/tags?post=29481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}