{"id":12213,"date":"2025-02-26T10:00:44","date_gmt":"2025-02-26T04:30:44","guid":{"rendered":"https:\/\/gtm360.com\/blog\/?p=12213"},"modified":"2025-02-23T21:58:20","modified_gmt":"2025-02-23T16:28:20","slug":"why-calculating-roi-for-software-is-harder-than-you-think","status":"publish","type":"post","link":"https:\/\/gtm360.com\/blog\/2025\/02\/26\/why-calculating-roi-for-software-is-harder-than-you-think\/","title":{"rendered":"Why Calculating ROI for Software Is Harder Than You Think"},"content":{"rendered":"<p>Every now and then, somebody will question ROI metrics reported by B2B tech vendors. Let&#8217;s take the following <a href=\"https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7237572733851631616?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7237572733851631616%2C7237760686401982465%29&amp;dashCommentUrn=urn%3Ali%3Afsd_comment%3A%287237760686401982465%2Curn%3Ali%3Aactivity%3A7237572733851631616%29\" target=\"_blank\" rel=\"noopener\"><strong>LinkedIn post<\/strong><\/a> for example:<!----------START----------><!--BLOCKQUOTE, NO LHS LINE, GRAY--><\/p>\n<blockquote class=\"skr-bq-noline\">\n<div style=\"background-color: #fafafa; padding: 15px 30px;\">\n<p>Tech vendors&#8217; use of the term &#8220;ROI&#8221; is maddening. Two recent (ROI claims) triggered this rant.<\/p>\n<ol>\n<li>&#8220;Did you know that financial services firms that use Salesfarce achieve a 188% ROI?&#8221; Really? EVERY ONE OF THEM achieve the same exact ROI? And how exactly was that ROI measured?<\/li>\n<li>&#8220;74% of companies are already achieving a return on their Gaggle GenAI investments.&#8221; Duh. Any positive improvement from an investment is a &#8220;return&#8221; on the investment. But it&#8217;s the quantification of the costs and benefits that enables a company to see what the ROI is, and &#8211; more importantly &#8211; how that ROI compares to other potential investments the company could have made.<\/li>\n<li>The Gaggle study went on to say that 45% of the firms they surveyed said that &#8220;employee output has at least doubled&#8221; from their GenAI implementations.\u00a0Oh, ok. So I guess if my company implements &#8220;Gen AI&#8221;, our employee output may &#8220;at least double&#8221; as well, right?<\/li>\n<\/ol>\n<\/div>\n<\/blockquote>\n<p><!----------END----------><\/p>\n<p>The <a href=\"https:\/\/www.linkedin.com\/in\/ronshevlin\/\" target=\"_blank\" rel=\"noopener\"><strong>OP Ron Shevlin<\/strong><\/a> is fully justified in his rant. If I were a prospective customer for an enterprise software, I&#8217;d also have the same questions.<\/p>\n<p>But ROI figures are reported by vendors, so we need to take a look at this from their pov to get the full picture on this topic.<\/p>\n<hr style=\"width: 70%;\" \/>\n<p>B2B Tech marketers face two key challenges in the rigorous estimation of the ROI of ERP, CRM, Marketing Automation and other enterprise software:<\/p>\n<ol>\n<li>Computing challenge<\/li>\n<li>Reporting challenge<\/li>\n<\/ol>\n<p><strong>1. Computing Challenge<\/strong><\/p>\n<p>ROI is defined as follows:<\/p>\n<p>ROI = Incremental benefits delivered by software\/Cost of the software.<\/p>\n<p>Depending on the nature of the software, there are various sources of benefits:<\/p>\n<ol>\n<li>Reduction in Days of Sales Outstandings (DSO)<\/li>\n<li>Increase in Inventory Turns, ergo reduced inventory carrying costs<\/li>\n<li>Reduction in shipping costs and demurrages<\/li>\n<li>Increase in lead-to-deal conversion rate, ergo sales<\/li>\n<li>Increase in Net Dollar Retention (NDR), ergo revenue.<\/li>\n<\/ol>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">TIL NDR (Net Dollar Retention):<br \/>\nRevenue from customers this year for every $100 spent on you by the same customers last year, inclusive of customers whose spending dropped to $0.<br \/>\nHigher the better e.g. Snowflake 175%.<a href=\"https:\/\/twitter.com\/hashtag\/SAAS?src=hash&amp;ref_src=twsrc%5Etfw\">#SAAS<\/a> . H\/T <a href=\"https:\/\/twitter.com\/ByrneHobart?ref_src=twsrc%5Etfw\">@ByrneHobart<\/a> <a href=\"https:\/\/t.co\/JtDEJcPRLv\">pic.twitter.com\/JtDEJcPRLv<\/a><\/p>\n<p>\u2014 GTM360 (@GTM360) <a href=\"https:\/\/twitter.com\/GTM360\/status\/1602626991684984838?ref_src=twsrc%5Etfw\">December 13, 2022<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>As you can see, all benefits are incremental, ergo a rigorous computation of ROI requires data about both the post-implementation (TO-BE) and the pre-implementation (AS-IS) states of the business.<\/p>\n<p>TO-BE data can be gathered fairly easily but AS-IS data is often not available due to the immature state of the AS-IS IT landscape.<\/p>\n<p>Put differently, if the customer had all the AS-IS data, their systems were good enough and they wouldn&#8217;t have bought the enterprise software in the first place!<\/p>\n<p><strong>2. Reporting Challenge<\/strong><\/p>\n<p>Customers have varying degrees of success in implementing enterprise software e.g. Ten retailers may succeed in implementing SAP but one retailer might find its SAP project getting <a href=\"https:\/\/gtm360.com\/blog\/2020\/05\/27\/when-erp-projects-get-derailed-by-silly-reasons\/\" target=\"_blank\" rel=\"bookmark noopener\">derailed by reasons that sound silly<\/a>.<\/p>\n<p>Accordingly, ROIs obtained by different companies can vary.<\/p>\n<p>This creates the following challenge: <em>Whose ROI should I report?<\/em><\/p>\n<p>Should it be the<\/p>\n<ol style=\"list-style-type: upper-alpha;\">\n<li>Max ROI obtained by any customer in the installed base<\/li>\n<li>Median ROI obtained by all customers that computed ROI<\/li>\n<li>Median ROI obtained by all customers that were succesful in the implementation (and got ROI)<\/li>\n<li>Median ROI obtained by all customers that were succesful in the implementation (and got ROI) and\u00a0customers that failed in the implementation (and got zero or negative ROI).<\/li>\n<\/ol>\n<p>Vendor marketers would like to report <strong>A<\/strong> &#8211; after all, if their software got so-and-so ROI for one customer, it&#8217;s basically capable of delivering the same ROI for all customers, it just depends on how they use the software.<\/p>\n<p>Pedantics would argue that <strong>D<\/strong> is the most accurate representation of the impact of the software.<\/p>\n<p>I&#8217;ve been doing this for 30+ years and I&#8217;ve never managed to get consensus among vendors or customers on this topic.<\/p>\n<p>Ergo, we tech marketers are forced to resort to<\/p>\n<p><strong><em>E. None of the above<\/em><\/strong><\/p>\n<p>and customers see the kind of ROI metrics they see and rants like the above will continue forever.<\/p>\n<p>(There&#8217;s another challenge caused by the drive to protect competitive advantage where customers get tangible benefits but do not permit the vendor to disclose them publicly. While it&#8217;s very real, I&#8217;ve ignored this challenge since it can be substantially overcome by following the pro tips given in my blog post entitled <a href=\"https:\/\/gtm360.com\/blog\/2016\/05\/13\/3-ways-to-get-approvals-for-case-studies-from-reluctant-customers\/\" target=\"_blank\" rel=\"bookmark noopener\">3 Ways To Get Approvals For Case Studies From Reluctant Customers<\/a>.)<\/p>\n<hr style=\"width: 70%;\" \/>\n<p>In the absence of full information on the benefits of enterprise software, many customers juxtapose qualitative assessment with whatever quant data they have.<\/p>\n<p><a href=\"https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2025\/01\/jeff-bezos-quote-data-fi.png\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-13164 size-full\" src=\"https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2025\/01\/jeff-bezos-quote-data-fi.png\" alt=\"\" width=\"630\" height=\"323\" srcset=\"https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2025\/01\/jeff-bezos-quote-data-fi.png 630w, https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2025\/01\/jeff-bezos-quote-data-fi-500x256.png 500w\" sizes=\"auto, (max-width: 630px) 100vw, 630px\" \/><\/a><\/p>\n<p>Following the Jeff Bezos&#8217;s playbook, many companies dipstick the BEFORE-AFTER scenarios in various business processes and functions, and use their experience and intuition to judge whether they&#8217;ve got their money&#8217;s worth from their enterprise software.<\/p>\n<p>Which is not a bad thing.<\/p>\n<p><a href=\"https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2024\/08\/dikw-definition-fi.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-12137 alignright\" src=\"https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2024\/08\/dikw-definition-fi.jpg\" alt=\"\" width=\"300\" height=\"133\" srcset=\"https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2024\/08\/dikw-definition-fi.jpg 630w, https:\/\/gtm360.com\/blog\/wp-content\/uploads\/2024\/08\/dikw-definition-fi-500x222.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>End of the day, wisdom plays an important role in all business decisions. According to <em>McKinsey<\/em>, while data is at the foundation of the <a href=\"https:\/\/www.mckinsey.com\/capabilities\/mckinsey-digital\/our-insights\/from-raw-data-to-real-profits-a-primer-for-building-a-thriving-data-business\" target=\"_blank\" rel=\"noopener\"><strong>DIKW Data Maturity Model<\/strong><\/a>, the combination of knowledge, experience and intuition aka wisdom comes at the top of the model. You can see a few examples of decisions driven by wisdom in my blog post titled <a href=\"https:\/\/gtm360.com\/blog\/2015\/01\/16\/3-ways-to-find-hidden-pain-areas\/\" target=\"_blank\" rel=\"noopener\">3 Ways To Find Hidden Pain Areas<\/a>.<\/p>\n<p>As long as they&#8217;re well-informed, companies don&#8217;t need to be defensive about taking decisions based on an optimum mix of data and gut feeling. Going by the aforementioned Jeff Bezos playbook, optimum is somewhere around 70% data and 30% gut feeling. And, in the event of a tie between data and anecdote, lean towards anecdote, per another Bezos best practice:<\/p>\n<blockquote><p>When the data and the anecdotes disagree, the anecdotes are usually right.<\/p><\/blockquote>\n<p>In closing, I recently came across an excellent analysis and computation of ROI for an enterprise AI software: <a title=\"ROI For AI \u2013 Prosus Toqan\" href=\"https:\/\/sketharaman.com\/blog\/roi-for-ai-prosus-toqan\/\" target=\"_blank\" rel=\"bookmark noopener\">ROI For AI \u2013 Prosus Toqan<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every now and then, somebody will question ROI metrics reported by B2B tech vendors. Let&#8217;s take the following LinkedIn post for example: Tech vendors&#8217; use of the term &#8220;ROI&#8221; is maddening. Two recent (ROI claims) triggered this rant. &#8220;Did you know that financial services firms that use Salesfarce achieve a 188% ROI?&#8221; Really? EVERY ONE &#8230; <a title=\"Why Calculating ROI for Software Is Harder Than You Think\" class=\"read-more\" href=\"https:\/\/gtm360.com\/blog\/2025\/02\/26\/why-calculating-roi-for-software-is-harder-than-you-think\/\" aria-label=\"Read more about Why Calculating ROI for Software Is Harder Than You Think\">Read more<\/a><\/p>\n","protected":false},"author":4,"featured_media":13164,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,8,1],"tags":[],"class_list":["post-12213","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-b1-integrated-marketing","category-it-marketing","category-mandatory-category"],"_links":{"self":[{"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/posts\/12213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/comments?post=12213"}],"version-history":[{"count":11,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/posts\/12213\/revisions"}],"predecessor-version":[{"id":13280,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/posts\/12213\/revisions\/13280"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/media\/13164"}],"wp:attachment":[{"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/media?parent=12213"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/categories?post=12213"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gtm360.com\/blog\/wp-json\/wp\/v2\/tags?post=12213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}