{"id":10513,"date":"2018-02-19T12:46:13","date_gmt":"2018-02-19T11:46:13","guid":{"rendered":"https:\/\/chartmogul.com\/blog\/?p=10513"},"modified":"2023-08-10T17:11:45","modified_gmt":"2023-08-10T15:11:45","slug":"push-data-segment-chartmogul-xplenty","status":"publish","type":"post","link":"https:\/\/chartmogul.com\/blog\/push-data-segment-chartmogul-xplenty\/","title":{"rendered":"How to push data from Segment to ChartMogul using Xplenty"},"content":{"rendered":"<p>If there\u2019s one thing that all companies have, it\u2019s data &#8211; and lots of it.<\/p>\n<p>Data is only useful if you can act on it &#8212; the more context you can add to your data, the more effectively you can act. This is the difference between generalized data gathering and analytics. ChartMogul helps businesses make use of that data by breaking it down through segmentation and visualizing analytics and metrics.<\/p>\n<blockquote><p>&#8220;The more context you can add to your data, the more effectively you can act.&#8221;<\/p><\/blockquote>\n<p>A popular request from our customers is to be able to send data from <a href=\"http:\/\/segment.com\">Segment<\/a> to ChartMogul. For many subscription businesses, Segment is an extremely useful platform for aggregating user and product data from many different sources. Segment is completely flexible, so it can accept any kind of data from anywhere.<\/p>\n<p>There are many use cases for sending data from Segment to ChartMogul, such as:<\/p>\n<ul>\n<li>Pushing <b>product usage<\/b> data to ChartMogul to understand the impact of specific feature usage on churn rate<\/li>\n<li>Pushing <b>user demographic<\/b> data to ChartMogul to determine the key demographics contributing the most revenue<\/li>\n<li>Pushing <b>marketing campaign <\/b>data to ChartMogul to understand which campaigns are delivering customers with the highest average sale price<\/li>\n<\/ul>\n<p>Using <a href=\"https:\/\/www.xplenty.com\/\">Xplenty<\/a>, you can connect Segment (and virtually any other data source) to ChartMogul without any code. In this post we&#8217;ll walk you through the steps to achieve this.<\/p>\n<h3>What is Xplenty?<\/h3>\n<p>Xplenty is a data integration service that allows you to easily move data between different platforms and services &#8212; all without writing any code. The Xplenty toolkit allows you to build such data connections using a visual drag-and-drop tool.<\/p>\n<figure id=\"attachment_10623\" aria-describedby=\"caption-attachment-10623\" style=\"width: 1024px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-10623 size-large\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui-1024x669.png\" alt=\"\" width=\"1024\" height=\"669\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui-1024x669.png 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui-300x196.png 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui-720x470.png 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui.png 1612w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui-300x196@2x.png 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/xplenty-ui-720x470@2x.png 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-10623\" class=\"wp-caption-text\">Building data connections with the Xplenty visual tool.<\/figcaption><\/figure>\n<h1>How to push data from Segment to ChartMogul<\/h1>\n<p>The Segment platform works with two types of endpoint:<\/p>\n<ul>\n<li><strong>Sources<\/strong> (for collecting and aggregating data)<\/li>\n<li><strong>Destinations<\/strong> (for pushing data to other services)<\/li>\n<\/ul>\n<figure id=\"attachment_10625\" aria-describedby=\"caption-attachment-10625\" style=\"width: 1024px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-10625\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/segment-overview-1024x637.png\" alt=\"\" width=\"1024\" height=\"637\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/segment-overview-1024x637.png 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/segment-overview-300x186.png 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/segment-overview-720x448.png 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/segment-overview.png 1237w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/segment-overview-300x186@2x.png 600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-10625\" class=\"wp-caption-text\">An overview of Segment&#8217;s Source and Destination structure (source: segment.com)<\/figcaption><\/figure>\n<p>While ChartMogul is not currently a native destination for Segment, this post will show you how to achieve the same level of connectivity using <a href=\"https:\/\/aws.amazon.com\/s3\/\">Amazon S3<\/a> as a middleman. Pushing directly to an S3 bucket allows Xplenty to hoover up the exported data and insert it into ChartMogul using our API.<\/p>\n<p><em><b>Note: <\/b>If you&#8217;re not using Amazon S3 account, you could also use an alternative service such as Amazon Redshift, Google BigQuery, PostgreSQL, etc. (but these are not covered in this guide).<\/em><i><br \/>\n<\/i><\/p>\n<p>At a high level, the data flow looks like this:<\/p>\n<blockquote><p><b>Segment -&gt; S3 bucket -&gt; Xplenty -&gt; ChartMogul<\/b><\/p><\/blockquote>\n<h2>Prerequisites<\/h2>\n<p>Before you get started with this integration, you&#8217;ll need:<\/p>\n<ul>\n<li>An Amazon Web Services (AWS) account<\/li>\n<li>An Xplenty account<\/li>\n<li>A Segment account<\/li>\n<li>A ChartMogul account<\/li>\n<\/ul>\n<p>If you\u2019ve got all of the above in place, it&#8217;s time to get started!<\/p>\n<h2>Part 1: Set up the Segment to Amazon S3 connection<\/h2>\n<p>For this part you need to follow the official Segment documentation for <a href=\"https:\/\/segment.com\/docs\/connections\/storage\/catalog\/amazon-s3\">setting S3 as a destination<\/a>. Come back here when you&#8217;re done!<\/p>\n<p><a href=\"https:\/\/segment.com\/docs\/connections\/storage\/catalog\/amazon-s3\">Amazon S3 Destination &#8211; Segment<\/a><\/p>\n<h2>Part 2: Set up Xplenty<\/h2>\n<p><b>a. Create an Amazon S3 connection in Xplenty<br \/>\n<\/b><\/p>\n<p>Enter the connections section and click on the <strong>+ new connection<\/strong> button. Then click on the Amazon S3 object store to configure your S3 connection.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10527\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1-1024x658.jpg\" alt=\"\" width=\"1024\" height=\"658\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1-1024x658.jpg 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1-300x193.jpg 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1-720x463.jpg 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1.jpg 1754w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1-300x193@2x.jpg 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-1-720x463@2x.jpg 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Insert your S3 details. See the explanation on the right of the page<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10528\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2-1024x656.jpg\" alt=\"\" width=\"1024\" height=\"656\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2-1024x656.jpg 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2-300x192.jpg 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2-720x461.jpg 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2.jpg 1754w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2-300x192@2x.jpg 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2-720x461@2x.jpg 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><b>b. Create your Segment to ChartMogul pipeline<\/b><\/p>\n<p>Go to <strong>my packages<\/strong> located in the top navigation.<\/p>\n<p>Click on the little arrow on the right side and choose <strong>From template\u2026<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10529\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b-1024x668.png\" alt=\"\" width=\"1024\" height=\"668\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b-1024x668.png 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b-300x196.png 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b-720x470.png 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b.png 1754w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b-300x196@2x.png 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-2b-720x470@2x.png 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Select <strong>ChartMogul template<\/strong> from the list and click on <strong>Create Package<\/strong>.<\/p>\n<p>This takes you to the package designer with the ChartMogul template created by Xplenty. Here you can create more pipelines, add transformation or do any data manipulation that you need to clean and organize the data. For this example don\u2019t worry &#8212; this has already been done for you.<\/p>\n<p><b>c. Read data from the S3 bucket<\/b><\/p>\n<p>Define your bucket name and path from the S3 source component and click on the <strong>Auto-detect schema<\/strong> green button. You should get a list of fields. For further information please read the <a href=\"http:\/\/community.xplenty.com\/knowledgebase\/articles\/168808\">file storage source instructions<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10530\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3-1024x656.jpg\" alt=\"\" width=\"1024\" height=\"656\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3-1024x656.jpg 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3-300x192.jpg 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3-720x461.jpg 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3.jpg 1754w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3-300x192@2x.jpg 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-3-720x461@2x.jpg 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>With Xplenty\u2019s pre-built functions, you can clean, aggregate and join so you can prepare your data before sending it to your ChartMogul account.<\/p>\n<p><b>d. Send your data to ChartMogul<\/b><\/p>\n<p>Xplenty, allows you to send any data supported by ChartMogul\u2019s API into your ChartMogul account. In this example, we&#8217;ll demonstrate how to add tags to your customers.<\/p>\n<p>To add tags in ChartMogul, make sure you have the following fields:<\/p>\n<ul>\n<li>Email address<\/li>\n<li>Array of tags<\/li>\n<li>ChartMogul\u2019s Account Token and Secret Key<\/li>\n<\/ul>\n<p>In the results field in the ChartMogul component, determine the email and tags you want to send and add it to the CURL call.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10531\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4-1024x653.jpg\" alt=\"\" width=\"1024\" height=\"653\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4-1024x653.jpg 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4-300x191.jpg 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4-720x459.jpg 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4.jpg 1754w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4-300x191@2x.jpg 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-4-720x459@2x.jpg 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Here are few examples of tags you can add to your customers:<\/p>\n<ul>\n<li>Signed up through certain marketing campaign<\/li>\n<li>Product usage information (e.g., &#8220;has interacted with feature X&#8221;)<\/li>\n<\/ul>\n<p><b>e. Validate and run your pipeline<\/b><\/p>\n<p>In the upper right corner of the package editor, click the blue check mark button to save and validate the package. After the package completes validation, navigate to the dashboard.<\/p>\n<p>In the dashboard, find the cluster that is now available. Click the <strong>execute<\/strong> button and choose the package to execute.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10532\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5-1024x620.jpg\" alt=\"\" width=\"1024\" height=\"620\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5-1024x620.jpg 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5-300x182.jpg 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5-720x436.jpg 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5.jpg 1754w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5-300x182@2x.jpg 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/01\/Xplenty-5-720x436@2x.jpg 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>Congratulations, you have completed your first job!<\/p>\n<h2>Part 3: Create segments and view your data in ChartMogul<\/h2>\n<p>To analyze our product usage data in ChartMogul, you need to create <strong>custom segments<\/strong> based on the data pushed from Xplenty.<\/p>\n<p>Let\u2019s say we want to analyze customers who <em>haven\u2019t<\/em> used a specific feature of our product we call <em>Turbo Charts.<\/em> In doing this, we\u2019ll be able to see whether metrics like churn rate are impacted by using this feature.<\/p>\n<p>To achieve this, we\u2019ll assume we\u2019ve pushed an attribute to ChartMogul with the name <b>turbo_charts_times_used <\/b>and a numeric value representing the number of times a user has interacted with the feature.<\/p>\n<p>Once you\u2019ve added an attribute to a customer in ChartMogul, it will appear on their customer profile:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10627\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/custom-attributes-1024x267.png\" alt=\"\" width=\"1024\" height=\"267\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/custom-attributes-1024x267.png 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/custom-attributes-300x78.png 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/custom-attributes-720x187.png 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/custom-attributes.png 1187w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/custom-attributes-300x78@2x.png 600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>And in the Add Filter drop-down menu:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-10628\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/add-filter-dropdown.png\" alt=\"\" width=\"350\" height=\"206\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/add-filter-dropdown.png 473w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/add-filter-dropdown-300x176.png 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/p>\n<p>Now let&#8217;s look at our churn rate and filter it to a specific segment based on this attribute:<\/p>\n<ol>\n<li>Log in to your ChartMogul account and navigate to the <b>churn rate <\/b>chart<\/li>\n<li>Click <b>Add filter <\/b>and choose the <b>turbo_charts_times_used <\/b>attribute you defined earlier<\/li>\n<li>Select <b>equals <\/b>and <b>0 <\/b>for the value<\/li>\n<li>Click <strong>Add<\/strong> to see the filter applied<\/li>\n<\/ol>\n<p>You\u2019re now looking at the customer churn rate for users who have never used the <em>Turbo Charts<\/em> feature. Once you\u2019ve applied the filter, you can save it as a segment by clicking <strong>SAVE SEGMENT<\/strong>.<\/p>\n<p>To take this a step further, you can compare this to users who <i>have <\/i>used this feature:<\/p>\n<ol>\n<li>Click <b>NEW SEGMENT<\/b><\/li>\n<li>Click <b>Add filter <\/b>in the newly created segment and select the same <b>turbo_charts_times_used <\/b>attribute<\/li>\n<li>Choose <b>Greater than <\/b>and <b>0 <\/b>for the value<\/li>\n<li>Click <strong>Add<\/strong><\/li>\n<\/ol>\n<p>You\u2019ll now see a churn rate for both segments drawn on the chart, comparing users who have used the feature at least once with users who have never used the feature.<\/p>\n<p>Here we can see that there&#8217;s clearly an elevated churn rate for customers who&#8217;ve never used our fictional <em>Turbo Charts<\/em> feature:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-10632\" src=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts-1024x526.png\" alt=\"\" width=\"1024\" height=\"526\" srcset=\"https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts-1024x526.png 1024w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts-300x154.png 300w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts-720x370.png 720w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts.png 1442w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts-300x154@2x.png 600w, https:\/\/chartmogul.com\/blog\/wp-content\/uploads\/2018\/02\/churn-comparison-turbo-charts-720x370@2x.png 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h1>Summary<\/h1>\n<p>Pushing data from Segment is just one example of using Xplenty to easily build zero-code integrations and access data where you need it.<\/p>\n<p>If you&#8217;re connecting other data sources to ChartMogul to use with segmentation or to inform your decision making, let us know! We&#8217;d love to hear what you&#8217;re doing. Get in touch at <a href=\"mailto:support@chartmogul.com\">support@chartmogul.com<\/a>.<\/p>\n<hr \/>\n<p><em>Thanks to the team at Xplenty for highlighting this use case and supporting ChartMogul on their platform.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p> A common request from our customers is to be able to push data from Segment to ChartMogul. Using Xplenty, it&#8217;s possible to achieve this, in addition to virtually any other data connection.<\/p>\n","protected":false},"author":9,"featured_media":10619,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39],"tags":[25,134,287,115],"class_list":["post-10513","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-updates","tag-chartmogul","tag-integration","tag-segment","tag-segmentation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to push data from Segment to ChartMogul using Xplenty<\/title>\n<meta name=\"description\" content=\"A common request from our customers is to be able to push data from Segment to ChartMogul. Using Xplenty, it&#039;s possible to achieve this - here&#039;s how.\" \/>\n<meta name=\"robots\" content=\"index, follow\" \/>\n<link rel=\"canonical\" href=\"https:\/\/chartmogul.com\/blog\/push-data-segment-chartmogul-xplenty\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to push data from Segment to ChartMogul using Xplenty\" \/>\n<meta property=\"og:description\" content=\"A common request from our customers is to be able to push data from Segment to ChartMogul. 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