Company data: how to find it for prospecting
Posted: Sun Dec 22, 2024 6:47 am
Did you know that using company data can transform your prospecting strategy and boost your sales? The information allows you to direct your efforts to companies with the greatest conversion potential, significantly improving the quality of the leads generated.
The result is a more robust sales funnel and more accurate business strategies. When your team has access to the right data, it becomes easier to understand business behavior, predict demands, and make strategic decisions that directly impact results.
In this article, we’ll explain how to find the most comprehensive data and how to use it to boost your prospecting initiatives, highlighting best practices and solutions. Check it out!
Importance of using data for sales
A recent study shows that 60% of B2B sales companies will transition to a data-driven sales approach by 2025, reflecting the growing importance of using accurate, detailed information to optimize sales strategies. With detailed data, it is possible to segment the market more effectively, focusing on leads with the highest conversion potential, which reduces the time and resources spent on prospects that do not fit the ideal profile.
Using data also allows you to personalize sales strategies, adjusting your pitch and offers to the specific needs of each customer, thus increasing the relevance of your proposals and the chances of success. Furthermore, studies indicate that companies that use data effectively achieve, on average, a 10% reduction in operating costs and a 12% increase in productivity. By enriching CRM with data , sales teams can automate repetitive tasks, freeing up time to focus on more strategic activities, such as building relationships and negotiating.
What company data is needed for prospecting?
Company structure data is known as firmographic data usa phone number lists and serves as the basis for guiding the entire prospecting process, from company selection to the approach taken by salespeople. The absence of such information can result in random and inefficient prospecting, making the process more time-consuming and less effective.
This data varies depending on the industry and the type of product or service offered by the supplier company, but there are some categories of data that are widely applicable across different prospecting and sales frameworks. Examples of firmographic data include:
Number of employees : provides an idea of the size of the company and the complexity of its operations;
Annual revenue : indicates the company's financial potential and its investment capacity;
Address : information about the location of the headquarters and branches helps to understand the company's geographic scope;
Operating locations : geographic areas where the company operates, which is crucial for defining the relevance of prospecting;
Industry or segment : sector in which the company operates, allowing a more targeted approach;
Business type : business model classification, such as B2B, B2C, manufacturing, services, among others;
Ownership and subsidiaries : ownership structure, including information about the parent company and subsidiaries.
With this data in hand, it is possible to carry out more targeted prospecting, increasing the chances of success by focusing on leads with greater conversion potential and allowing sales teams to adjust their strategies according to each company's profile.
The result is a more robust sales funnel and more accurate business strategies. When your team has access to the right data, it becomes easier to understand business behavior, predict demands, and make strategic decisions that directly impact results.
In this article, we’ll explain how to find the most comprehensive data and how to use it to boost your prospecting initiatives, highlighting best practices and solutions. Check it out!
Importance of using data for sales
A recent study shows that 60% of B2B sales companies will transition to a data-driven sales approach by 2025, reflecting the growing importance of using accurate, detailed information to optimize sales strategies. With detailed data, it is possible to segment the market more effectively, focusing on leads with the highest conversion potential, which reduces the time and resources spent on prospects that do not fit the ideal profile.
Using data also allows you to personalize sales strategies, adjusting your pitch and offers to the specific needs of each customer, thus increasing the relevance of your proposals and the chances of success. Furthermore, studies indicate that companies that use data effectively achieve, on average, a 10% reduction in operating costs and a 12% increase in productivity. By enriching CRM with data , sales teams can automate repetitive tasks, freeing up time to focus on more strategic activities, such as building relationships and negotiating.
What company data is needed for prospecting?
Company structure data is known as firmographic data usa phone number lists and serves as the basis for guiding the entire prospecting process, from company selection to the approach taken by salespeople. The absence of such information can result in random and inefficient prospecting, making the process more time-consuming and less effective.
This data varies depending on the industry and the type of product or service offered by the supplier company, but there are some categories of data that are widely applicable across different prospecting and sales frameworks. Examples of firmographic data include:
Number of employees : provides an idea of the size of the company and the complexity of its operations;
Annual revenue : indicates the company's financial potential and its investment capacity;
Address : information about the location of the headquarters and branches helps to understand the company's geographic scope;
Operating locations : geographic areas where the company operates, which is crucial for defining the relevance of prospecting;
Industry or segment : sector in which the company operates, allowing a more targeted approach;
Business type : business model classification, such as B2B, B2C, manufacturing, services, among others;
Ownership and subsidiaries : ownership structure, including information about the parent company and subsidiaries.
With this data in hand, it is possible to carry out more targeted prospecting, increasing the chances of success by focusing on leads with greater conversion potential and allowing sales teams to adjust their strategies according to each company's profile.