{"id":991591,"date":"2026-04-16T14:20:47","date_gmt":"2026-04-16T14:20:47","guid":{"rendered":"https:\/\/customersx.ch\/sales-efficiency-for-industrial-companies\/"},"modified":"2026-06-14T22:54:25","modified_gmt":"2026-06-14T22:54:25","slug":"sales-efficiency-for-industrial-companies","status":"publish","type":"post","link":"https:\/\/customersx.ch\/en\/sales-efficiency-for-industrial-companies\/","title":{"rendered":"Sales efficiency for industrial companies"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">At present, many industrial companies face numerous challenges: supply bottlenecks, rising raw-material prices, changing customer requirements are just a few examples. At the same time, many industrial companies manage to hold their own successfully and maintain or even increase revenue. So the first look at the balance sheet often looks good to very good. One topic that often hides and is forgotten in companies is sales efficiency. Sales efficiency is about continuously deploying the existing resources and competencies better and, in particular, improving profit \u2014 not revenue! Many companies are not aware of the enormous potential slumbering in this area in their company. But how can sales efficiency for industrial companies be increased?<br\/>A central building block is customer value (<a href=\"https:\/\/customersx.ch\/blogcc\/2022\/definition-kundenwert\/\">see blog post<\/a>). Once a company has a customer-value model \u2014 at the beginning usually a contribution-margin model, later a scoring model, and even later a customer lifetime model \u2014 the foundation for improving sales efficiency for industrial companies is laid. Four points need to be considered:<\/p>\n\n<ol class=\"wp-block-list\">\n<li>To increase sales efficiency for industrial companies, future potential should be integrated into the customer-value consideration as early as possible. Therefore, although you should start with a contribution-margin model, this should be replaced by a scoring model after 2\u20133 years at the latest.<\/li>\n\n\n\n<li>In many publications on scoring models, revenue and contribution margin are cited as two independent assessment dimensions for customers. If you assume a 20\/80 distribution (20% of customers carry 80% of revenue), it does not make sense to integrate revenue into a scoring model. The argument of production-plant utilisation is irrelevant with a 20\/80 distribution. The revenues between the individual clusters are so large that no additional revenue consideration is needed. Quite fundamentally, more attention should be paid to contribution margin in sales.<\/li>\n\n\n\n<li>The customer-value model provides a clustering of the customer base. For many industrial companies, a four-part segmentation into A\/B\/C\/D customers makes sense \u2014 since otherwise 80% of customers are often &#8216;crammed&#8217; into the C segment.<\/li>\n\n\n\n<li>Building on the clustering of customers, the central challenge in increasing sales efficiency lies in the annual adjustment of the customers&#8217; support plan.<\/li>\n<\/ol>\n\n<h2 class=\"wp-block-heading\">The system of a support plan for increasing sales efficiency for sales companies<\/h2>\n\n<p class=\"wp-block-paragraph\">How is a customer support plan structured? As a first step, the different touchpoints, or contact channels, need to be systematised. For industrial companies, this includes, for example: in-person field-sales visits, field-sales phone, inside-sales phone, field-sales email, inside-sales email, email automation software (marketing). From this list, it quickly becomes clear that the general touchpoint systematics published in many places fall short for increasing sales efficiency. In sales, the touchpoints need to be broken down more granularly by their costs. Does the specific field-sales employee call, or a person from inside sales? Viewed over a year, this has a big impact on the individual&#8217;s time budget and thus on the costs.<\/p>\n\n<p class=\"wp-block-paragraph\">The system of a support plan for increasing sales efficiency for sales companies<\/p>\n\n<p class=\"wp-block-paragraph\">Studies say that field-sales employees spend 70% of their time on administrative activities and only 30% of their time on customers. This ratio needs to be improved quite fundamentally and illustrates the enormous efficiency potential in many companies.<\/p>\n\n<p class=\"wp-block-paragraph\">In the following, the first three steps for developing a support plan are presented. This must be further subdivided for the respective industrial company and worked out for repeat purchase and cross-selling as two separate activities. As a first step in developing a support plan, the number of in-person visits and phone calls by field sales for A and B customers needs to be defined. This is different for every industrial company. The size of the offering (cross-selling!), purchasing cycles, the offering&#8217;s need for explanation, competitive intensity, among others, are dimensions that need to be considered. In the second step, it needs to be determined for which activities and how often inside sales contacts B and C customers by phone or email. This shows how important it is to use four clusters for industrial companies. Otherwise, too many customers would fall into the C segment, and clarity would be lost. In the third step, it needs to be determined how efficiency in supporting D customers can be improved. Here, the use of marketing-automation software is appropriate, since usually a large customer base needs to be addressed which, if supported individually, quickly causes high costs in sales.<\/p>\n\n<p class=\"wp-block-paragraph\">After working it out, the support plan needs to be discussed with the respective employees, and it needs to be ensured that the existing CRM system (or just Excel or Google Sheets) also represents the respective support activities. Such an introduction in sales will meet with resistance in many companies. The revenue figures often show no necessity at all. In general, steering metrics are not welcome in sales, and many employees have been in the company for a long time and are deeply convinced that they know exactly how the respective customers should optimally be supported. Here, a big misunderstanding needs to be explicitly cleared up. Sales efficiency is not the same as sales effectiveness. The approach presented here does not help to improve sales effectiveness. Which sales arguments are used, which people in the buying centre are worked on, how the price is set, etc. are questions of sales effectiveness. Efficiency aims at optimising the resource of employees&#8217; time and thereby at increasing profit.<\/p>\n\n<p class=\"wp-block-paragraph\">Once the support plan is worked out and data documentation in an IT tool is ensured, it then needs to be determined how often the sales team exchanges views on the results. It is important to understand that this approach does not aim at pure control and punishment, but at the sales team&#8217;s joint learning. For example, every quarter it can be reviewed what effect the support plan has on the respective customer segment, based on deals and lost orders. If it turns out that, especially with A and B customers, a more efficient form of support has an influence on the win probability, then other efficiency measures need to be defined so as not to &#8216;buy&#8217; the goal of increasing efficiency with a decline in effectiveness.<\/p>\n\n<p class=\"wp-block-paragraph\">Our <a href=\"https:\/\/www.youtube.com\/watch?v=qz_jyxO0Ouc\" target=\"_blank\" rel=\"noreferrer noopener\">introductory video<\/a> on the topic of systematic sales.<\/p>\n\n<h2 class=\"wp-block-heading\">Sales efficiency for industrial companies in customer acquisition<\/h2>\n\n<p class=\"wp-block-paragraph\">While for customer support in industrial companies a lot of information is (could be) available, the information in customer acquisition is only very limited. The pressure to acquire new customers is also very high. The fundamental question arises whether sales efficiency should be a topic in customer acquisition at all. If you go through the costs of the individual sales touchpoints, it quickly becomes apparent here too how important sales efficiency is in customer acquisition. Here, the potential assessment by the employees has a high importance. So instead of customer value, a potential assessment is made, and then the same system of customer support is applied to customer acquisition. D customers should not be acquired via the &#8216;expensive&#8217; field sales. Potential A and B customers, on the other hand, also need to be won. Here the challenge for industrial companies lies in when and by whom the potential assessment is carried out. It is advisable to establish a meeting every two weeks in order to classify the potential customers together. Because increasing sales efficiency for industrial companies is closely connected with the learning success of a company&#8217;s sales.<\/p>\n\n<h2 class=\"wp-block-heading\">Conclusion on increasing sales efficiency for industrial companies<\/h2>\n\n<p class=\"wp-block-paragraph\">Despite numerous external factors influencing sales, it is worthwhile for many industrial companies to put the topic of sales efficiency on the agenda right now. In the example presented, the topic of e-commerce was not mentioned, which can additionally increase the possibilities but also the complexity of the topic. Customer value and potential assessment are the central foundations for increasing sales efficiency. This insight matches the success-factor research on Sales Excellence (link page), which confirms the high importance of this information for sales success. Once the information is available, a support plan needs to be worked out, which, especially at the beginning, will not be optimal. Sales efficiency is closely connected with learning success in sales. That&#8217;s why the support plan needs to be continuously optimised (quarterly or half-yearly), thereby systematically increasing efficiency. It can be assumed that improving sales efficiency takes two years to develop its full power. In our consulting projects and the master&#8217;s theses of our students, the high impact of increasing sales efficiency on the company&#8217;s profit increase has already been confirmed several times \u2014 usually with very surprised faces from those responsible\u2026<\/p>\n\n<p class=\"wp-block-paragraph\">Book a non-binding consultation to learn more about this topic.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>At present, many industrial companies face numerous challenges: supply bottlenecks, rising raw-material prices, changing customer requirements are just a few examples. At the same time, many industrial companies manage to hold their own successfully and maintain or even increase revenue&#8230;.<\/p>\n","protected":false},"author":1,"featured_media":991593,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[58],"tags":[],"class_list":["post-991591","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sales"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Sales efficiency for industrial companies - CustomersX<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/customersx.ch\/en\/sales-efficiency-for-industrial-companies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sales efficiency for industrial companies\" \/>\n<meta property=\"og:description\" content=\"At present, many industrial companies face numerous challenges: supply bottlenecks, rising raw-material prices, changing customer requirements are just a few examples. 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