{"id":1462,"date":"2024-08-01T13:10:00","date_gmt":"2024-08-01T12:10:00","guid":{"rendered":"https:\/\/validata.es\/index.php\/2024\/08\/01\/como-el-analisis-de-datos-puede-mejorar-tu-estrategia-de-ventas\/"},"modified":"2024-10-28T10:44:51","modified_gmt":"2024-10-28T09:44:51","slug":"how-data-analysis-can-improve-your-sales-strategy","status":"publish","type":"post","link":"https:\/\/validata.es\/en\/index.php\/2024\/08\/01\/how-data-analysis-can-improve-your-sales-strategy\/","title":{"rendered":"How data analysis can improve your sales strategy"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1462\" class=\"elementor elementor-1462 elementor-819\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d2e68c9 e-flex e-con-boxed e-con e-parent\" data-id=\"2d2e68c9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6387c49b elementor-widget elementor-widget-text-editor\" data-id=\"6387c49b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In the digital era, <\/span><b>data analysis<\/b><span style=\"font-weight: 400;\"> has become an essential component of any successful sales strategy. Companies that know how to <\/span><b>collect, interpret, and apply data<\/b><span style=\"font-weight: 400;\"> have a significant competitive advantage, as they can make more informed decisions, identify hidden opportunities, and personalize the customer experience. This article will explore how <\/span><b>data analysis<\/b><span style=\"font-weight: 400;\"> can transform your <\/span><b>sales strategy,<\/b><span style=\"font-weight: 400;\"> helping you reach and exceed your business goals.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>Why Is Data Analysis Key to an Effective Sales Strategy?<\/b><\/h2><p><b>\u00a0<\/b><\/p><p><b>Data analysis<\/b><span style=\"font-weight: 400;\"> provides a deep and detailed insight into customer behaviors, preferences, and needs. This allows companies to <\/span><b>adjust their sales strategies<\/b><span style=\"font-weight: 400;\"> to be more precise and effective. Some of the key reasons why data analysis is fundamental to an effective sales strategy include:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Informed Decision-Making:<\/b><span style=\"font-weight: 400;\"> Access to <\/span><b>accurate data<\/b><span style=\"font-weight: 400;\"> allows sales teams to make decisions based on facts rather than assumptions. This includes decisions on <\/span><b>market segmentation, pricing strategies,<\/b><span style=\"font-weight: 400;\"> and <\/span><b>sales approaches<\/b><span style=\"font-weight: 400;\">.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Identification of Patterns and Trends:<\/b><span style=\"font-weight: 400;\"> Data analysis helps identify <\/span><b>behavioral patterns<\/b><span style=\"font-weight: 400;\"> among customers, enabling companies to anticipate needs and proactively adapt their offers.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Continuous Improvement:<\/b><span style=\"font-weight: 400;\"> By continuously monitoring and analyzing sales data, companies can <\/span><b>identify areas for improvement<\/b><span style=\"font-weight: 400;\"> and adjust their strategies accordingly, thereby optimizing overall performance.<\/span><\/li><\/ul><h2><b>\u00a0<\/b><\/h2><h2><b>Types of Data That Can Be Analyzed to Improve the Sales Strategy<\/b><\/h2><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Sales data analysis covers a variety of data types that, when properly analyzed, can provide <\/span><b>valuable insights<\/b><span style=\"font-weight: 400;\"> to improve your sales strategy. Here are some of the most important ones:<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Customer Demographic Data<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Demographic data<\/b><span style=\"font-weight: 400;\"> includes basic information about customers, such as <\/span><b>age, gender, location,<\/b><span style=\"font-weight: 400;\"> and <\/span><b>occupation<\/b><span style=\"font-weight: 400;\">. This data is essential for segmenting the customer base and <\/span><b>targeting sales strategies<\/b><span style=\"font-weight: 400;\"> to specific groups with greater precision.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Customer Behavior Data<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Behavioral data<\/b><span style=\"font-weight: 400;\"> reveals how customers interact with your company and your products. This includes <\/span><b>purchase history, website visit frequency,<\/b><span style=\"font-weight: 400;\"> interaction with <\/span><b>emails,<\/b><span style=\"font-weight: 400;\"> and <\/span><b>product usage<\/b><span style=\"font-weight: 400;\">. This data allows you to predict future behaviors and create <\/span><b>more effective sales campaigns<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Customer Interaction Data<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">This type of data includes all <\/span><b>interactions<\/b><span style=\"font-weight: 400;\"> that a customer has with your company, whether through <\/span><b>digital<\/b><span style=\"font-weight: 400;\"> or physical <\/span><b>channels<\/b><span style=\"font-weight: 400;\">, such as\u00a0<\/span><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">phone calls, emails, live chat, and in-person meetings. Analyzing these interactions helps to <\/span><b style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">better understand<\/b><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\"> the customer&#8217;s needs and improve <\/span><b style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">communication<\/b><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\"> and <\/span><b style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">relationships<\/b><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\"> over time.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>How Data Analysis Can Help Identify Sales Opportunities<\/b><\/h2><p><b>\u00a0<\/b><\/p><p><b>Data analysis<\/b><span style=\"font-weight: 400;\"> not only helps you understand your current customers but can also reveal <\/span><b>new sales opportunities<\/b><span style=\"font-weight: 400;\"> that you may not have considered. Here\u2019s how:<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Identification of Purchase Patterns<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">By analyzing your customers&#8217; <\/span><b>purchase patterns<\/b><span style=\"font-weight: 400;\">, you can identify <\/span><b>trends<\/b><span style=\"font-weight: 400;\"> and <\/span><b>preferences<\/b><span style=\"font-weight: 400;\"> that indicate when a customer is most likely to make a purchase. For example, you might discover that certain products sell better at specific times of the year, allowing you to <\/span><b>strategically plan campaigns<\/b><span style=\"font-weight: 400;\"> and promotions.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Discovery of Untapped Markets<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Data analysis can reveal <\/span><b>market segments<\/b><span style=\"font-weight: 400;\"> you hadn&#8217;t considered before. By identifying these niches, you can <\/span><b>expand your reach<\/b><span style=\"font-weight: 400;\"> and develop <\/span><b>sales strategies<\/b><span style=\"font-weight: 400;\"> specifically targeted to these groups.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Anticipation of Future Needs<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Data can also help you <\/span><b>predict the future needs<\/b><span style=\"font-weight: 400;\"> of your customers, allowing you to stay one step ahead. For example, if you notice that a customer typically buys a specific product every six months, you could offer them a <\/span><b>discount or promotion<\/b><span style=\"font-weight: 400;\"> just before their next expected purchase.<\/span><\/p><h2><b style=\"color: inherit; font-family: inherit; text-align: var(--text-align);\">\u00a0<\/b><\/h2><h2><b style=\"color: inherit; font-family: inherit; text-align: var(--text-align);\">Data Analysis to Improve Customer Segmentation and Targeting<\/b><\/h2><p><b>\u00a0<\/b><\/p><p><b>Customer segmentation and targeting<\/b><span style=\"font-weight: 400;\"> are crucial elements of an effective sales strategy. With <\/span><b>data analysis<\/b><span style=\"font-weight: 400;\">, you can take these\u00a0<\/span><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">strategies to the next level by segmenting your customers with greater precision and directing your sales efforts to the most promising segments.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Segmentation Based on Customer Value<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Not all customers are equal in terms of <\/span><b>value<\/b><span style=\"font-weight: 400;\"> to your company. By analyzing the <\/span><b>Customer Lifetime Value (CLV)<\/b><span style=\"font-weight: 400;\">, you can identify the\u00a0<\/span><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">customers who contribute the most to your business and <\/span><b style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">focus your efforts<\/b><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\"> on retaining them and offering additional products and services.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Targeting Based on Purchase Behaviors<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">By analyzing your customers&#8217; <\/span><b>purchase behaviors<\/b><span style=\"font-weight: 400;\">, you can identify which products or services are most popular among different segments and <\/span><b>personalize your sales messages<\/b><span style=\"font-weight: 400;\"> for each group. For example, you could create <a href=\"https:\/\/validata.es\/en\/index.php\/2024\/08\/09\/data-validation-the-secret-to-the-success-of-your-marketing-campaigns\/\">marketing campaigns<\/a> targeted at customers who have shown interest in related products but have not yet made a purchase.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Geographic Segmentation<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Geographic segmentation<\/b><span style=\"font-weight: 400;\"> is another effective way to direct your sales efforts. By analyzing sales data by location, you can identify <\/span><b>geographic areas<\/b><span style=\"font-weight: 400;\"> that are more profitable and focus your resources in those regions.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>How Data Analysis Can Help Personalize the Customer Experience<\/b><\/h2><p><b>\u00a0<\/b><\/p><p><b>Personalization<\/b><span style=\"font-weight: 400;\"> has become a key differentiator in sales strategy. <\/span><b>Data analysis<\/b><span style=\"font-weight: 400;\"> allows you to offer a personalized experience to each customer, which can significantly improve customer <\/span><b>satisfaction<\/b><span style=\"font-weight: 400;\"> and <\/span><b>loyalty<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Use of Data for Personalized Recommendations<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Recommendation algorithms<\/b><span style=\"font-weight: 400;\">, powered by data analysis, can suggest products or services that are relevant to each customer based on their <\/span><b>purchase history<\/b><span style=\"font-weight: 400;\"> and behavior. This not only increases the chances of conversion but also enhances the <\/span><b>customer experience<\/b><span style=\"font-weight: 400;\"> by making them feel understood and valued.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Personalization of Offers and Promotions<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Data analysis<\/b><span style=\"font-weight: 400;\"> allows you to create <\/span><b>personalized offers and promotions<\/b><span style=\"font-weight: 400;\"> that align with the specific interests and needs of each customer. For example, if a customer has shown interest in a product but has not made a purchase, you can send them a <\/span><b>personalized offer<\/b><span style=\"font-weight: 400;\"> with a special discount to incentivize them.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Adaptation of Communication<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Data can also help you personalize <\/span><b>communication<\/b><span style=\"font-weight: 400;\"> with your customers, from emails to interactions on social media. By understanding each customer&#8217;s communication <\/span><b>preferences<\/b><span style=\"font-weight: 400;\">, you can adjust the tone, content, and frequency of your messages to improve the <\/span><b>relationship with the customer<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>Data Analysis to Measure and Optimize Sales Performance<\/b><\/h2><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">To continuously improve your <\/span><b>sales strategy<\/b><span style=\"font-weight: 400;\">, it is essential to measure and analyze <\/span><b>sales performance<\/b><span style=\"font-weight: 400;\">. <\/span><b>Data analysis<\/b><span style=\"font-weight: 400;\"> provides you with\u00a0<\/span><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; text-align: var(--text-align); font-size: 1rem;\">the necessary tools to do this effectively.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Key Performance Metrics<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Some of the <\/span><b>key metrics<\/b><span style=\"font-weight: 400;\"> you should monitor include:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Conversion Rate:<\/b><span style=\"font-weight: 400;\"> The percentage of potential customers who become actual customers.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Sales Cycle Time:<\/b><span style=\"font-weight: 400;\"> The time it takes for a customer to move from being a prospect to making a purchase.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Average Order Value:<\/b><span style=\"font-weight: 400;\"> The average amount spent by each customer in a transaction.<\/span><\/li><\/ul><h3><b>\u00a0<\/b><\/h3><h3><b>Sales Funnel Analysis<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Sales funnel analysis<\/b><span style=\"font-weight: 400;\"> allows you to identify at which stages your potential customers are abandoning the purchase process and why. With this information, you can <\/span><b>optimize the funnel<\/b><span style=\"font-weight: 400;\"> to improve conversion rates at each stage.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Adjustments Based on Data Analysis<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Continuous data analysis allows you to make <\/span><b>quick adjustments<\/b><span style=\"font-weight: 400;\"> to your sales strategy to improve its effectiveness. For example, if you notice that a certain offer is not resonating with a segment of customers, you can modify it or try a new strategy to increase engagement.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>Tools and Technologies for Data Analysis in Sales<\/b><\/h2><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The success of <\/span><b>data analysis<\/b><span style=\"font-weight: 400;\"> in sales largely depends on the tools and technologies you use. Here are some of the most effective ones:<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>CRM Platforms with Analysis Capabilities<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Modern <\/span><b>CRM systems<\/b><span style=\"font-weight: 400;\">, like <\/span><b>Salesforce<\/b><span style=\"font-weight: 400;\"> and <\/span><b>HubSpot<\/b><span style=\"font-weight: 400;\">, include advanced data analysis capabilities that allow you to track and analyze every interaction with the customer. These platforms are essential for <\/span><b>managing customer relationships<\/b><span style=\"font-weight: 400;\"> and improving <\/span><b>sales efficiency<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Data Visualization Tools<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Tools like <\/span><b>Tableau<\/b><span style=\"font-weight: 400;\"> and <\/span><b>Power BI<\/b><span style=\"font-weight: 400;\"> allow you to <\/span><b>visualize<\/b><span style=\"font-weight: 400;\"> large volumes of data in a clear and understandable way, which facilitates the identification of <\/span><b>patterns and trends<\/b><span style=\"font-weight: 400;\">. These visualizations are essential for making informed decisions and communicating insights to the entire sales team.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Predictive Analysis<\/b><\/h3><p><b>\u00a0<\/b><\/p><p><b>Predictive analysis<\/b><span style=\"font-weight: 400;\">, powered by technologies like <\/span><b>machine learning<\/b><span style=\"font-weight: 400;\">, allows you to anticipate <\/span><b>sales trends<\/b><span style=\"font-weight: 400;\"> and <\/span><b>customer behaviors<\/b><span style=\"font-weight: 400;\">. By leveraging predictive analysis, you can make <\/span><b>more strategic decisions<\/b><span style=\"font-weight: 400;\"> that help you achieve your sales goals.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>Case Studies: Successes in Improving Sales Strategy with Data Analysis<\/b><\/h2><p><b>\u00a0<\/b><\/p><p><b>Case studies<\/b><span style=\"font-weight: 400;\"> are an excellent way to see how other companies have used <\/span><b>data analysis<\/b><span style=\"font-weight: 400;\"> to improve their sales strategies. Here are some examples of success:<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Case Study 1: Increase in Conversion with Predictive Analysis<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">A e-commerce company used <\/span><b>predictive analysis<\/b><span style=\"font-weight: 400;\"> to identify which customers were more likely to make a purchase in the future. By targeting these customers with <\/span><b>personalized offers<\/b><span style=\"font-weight: 400;\">, they managed to increase their <\/span><b>conversion rate<\/b><span style=\"font-weight: 400;\"> by 25%.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Case Study 2: Optimization of Customer Segmentation in B2B<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">A B2B company used demographic and behavioral data to <\/span><b>resegment<\/b><span style=\"font-weight: 400;\"> its customer base. By focusing on the most profitable segments, they increased their <\/span><b>average revenue per customer<\/b><span style=\"font-weight: 400;\"> by 30% and reduced their <\/span><b>customer acquisition costs<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><h3><b>\u00a0<\/b><\/h3><h3><b>Case Study 3: Improving Customer Retention Through Personalization<\/b><\/h3><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">A software company implemented a personalized recommendation system based on <\/span><b>product usage data analysis<\/b><span style=\"font-weight: 400;\">. As a result, they saw a significant improvement in <\/span><b>customer retention<\/b><span style=\"font-weight: 400;\"> and an increase in <\/span><b>customer satisfaction<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><h2><b>\u00a0<\/b><\/h2><h2><b>Conclusion<\/b><\/h2><p><b>\u00a0<\/b><\/p><p><b>Data analysis<\/b><span style=\"font-weight: 400;\"> is an indispensable component of any modern sales strategy. From <\/span><b>identifying opportunities<\/b><span style=\"font-weight: 400;\"> and <\/span><b>personalizing the customer experience<\/b><span style=\"font-weight: 400;\"> to <\/span><b>measuring performance<\/b><span style=\"font-weight: 400;\"> and <\/span><b>continuous optimization<\/b><span style=\"font-weight: 400;\">, data provides the necessary insights to make informed decisions and achieve <\/span><b>greater success<\/b><span style=\"font-weight: 400;\"> in sales. By investing in the <\/span><b>right tools and technologies<\/b><span style=\"font-weight: 400;\"> and adopting a data-driven mindset, you can transform your sales strategy and reach new levels of success in the market.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Improve your sales strategy with precise, detailed data analysis, driving better decision-making and increased sales.<\/p>\n","protected":false},"author":4,"featured_media":821,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-1462","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-marketing-and-sales"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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