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Learn how to deliver better sales intelligence to your reps, and see how a unified platform can help.
By Belal Batrawy, Founder, learntosell.io
January 27, 2025
Writers were aided by AI to draft these FAQ questions
Discover how Sales Cloud uses data and AI to help you build relationships and close deals fast.
Sales intelligence is the collection of data and insights used to make informed and strategic decisions throughout the sales process. Sellers use sales intelligence to gather and analyze information about prospects and customers, helping them understand their needs and close more deals. Using the right tools and software allows them to streamline this process.
Sales intelligence prepares sellers with data and insights before entering a sales call, meeting, or other interaction with a prospect or customer. By doing their homework, sellers can confidently approach conversations and tailor their points to better resonate with the prospect. Anticipating the prospect's unique needs and objectives allows the seller to show how their product is a solution.
For instance, let's say a seller from a project management software company is preparing for a sales meeting with an apparel retailer. The seller researches the retailer's website and discovers a press release announcing its expansion into Europe. They then use this insight to highlight how the software can streamline the expansion projects.
Sales intelligence helps at all stages of the sales cycle, from prospecting to closing the deal, and with meeting sales KPIs. At the start, sellers can use it to prioritize the right leads and personalize their outreach. Further along in the sales process, more advanced intelligence is gathered to create a more robust set of sales data. Over time, sellers build up their sales intelligence with more precise data and insights to help them target prospects and customers with solutions specific to them.
Sales intelligence data builds a profile of your prospect and their company with information relevant to their behaviors and needs. There are five main types of sales data that you should collect and analyze.
This is intelligence on your prospect's company. Examples include industry, company size/number of employees, number of physical locations (or remote), annual revenue, growth stage, and products or services offered. Firmographic data can be used to match companies with sellers that specialize in specific territories or industries.
Also known as personal or demographic data, this is intelligence on your prospect or customer. This can include name, job title and description, division or department, social media, email, phone number, and business address. Sellers use contact data to personalize outreach and to contact prospects through multiple channels, such as email and phone.
This is intelligence on your prospective company's technology consumption and usage in operations. This might include tools, software, hardware, processes and workflows, and IT infrastructure. Sellers of technology-related products and services can use the data to show how their product improves a company's technology stack.
Also known as buyer signals or buyer intent data, sales event triggers are points in time at a prospect's company that may create a sales opportunity. Examples include expansion into new markets or product lines, new funding, hiring activity or promotions, layoff activity, mergers and acquisitions, and awards or recognitions. These occurrences within a company present sellers with a timely opening to contact prospects and demonstrate how their solution can help navigate the changes.
This is information about an account that emerges during the sales process. It can also be historical deal data from past sales. You might include budget and pricing, timelines and seasonality, competitor feedback, and upsells or cross-sells. Deal data helps sellers identify sales trends to know the solution that will best resonate with customers and prospects.
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Your goal with gathering sales intelligence is to create a simple and concise narrative of your sales account that includes relevant information about the business so you can understand your customers' needs. Start with gathering company-level data to get an idea of the business' priorities and problems internally and in the wider market. Then move on to the person-level data and look for intelligence on how the company data impacts them and their team.
The adoption of AI in sales has sped up sales intelligence. According to the State of Sales Report, 4 in 5 sales teams are experimenting with or have already implemented AI. AI can sift through the vast amount of available sales intelligence, pull relevant insights, and create a summary. For example, a seller can input a link to a lengthy annual report into AI and ask it to pull findings related to the launch of a new product.
Input your company- and person-level data in your customer relationship management (CRM) platform. The CRM software unifies and centralizes your internal and external sales intelligence data. A CRM can automatically capture and sync relevant sales intelligence from your email, calendar, and calls, keeping your records accurate and eliminating the need for error-prone manual entry. The next step is to tie the multiple pieces of intelligence together for your outreach. Look at the sales intelligence for connections between how your product or service can help solve the prospect's pain points or needs.
Equip sellers with sales enablement resources and training to successfully use sales intelligence tools for gathering, tracking, and analyzing data. The State of Sales Report reveals that 3 in 4 sales reps say their company's enablement programs prepare them to meet their quotas.When sellers attain their quotas, they are on track to help the company reach its revenue goals. According to the report, employees have high satisfaction in the sales enablement areas of support materials, product-specific training, and training on technology and tools. Establish a library of sales enablement content to onboard new sellers about sales intelligence techniques. Include training videos, slide decks, and data sheets.
You have several sources of sales intelligence data at your fingertips. One of the best sources is to ask your prospect directly for information about them and their company. These are some other sources to check out:
Implementing sales intelligence solutions with your sales team can present some issues. These are some best practices to overcome common challenges:
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Sales intelligence software can minimize the tedious manual effort of collecting and analyzing sales intelligence. The software is often powered by AI to bring together intelligence from multiple sources. Ideally, your sales intelligence tools will integrate with your CRM to sync the sales intelligence with your other customer data. It should also integrate with your other sales tools, such as forecasting, analytics, and performance, to maintain consistency across the entire sales team.
The software should be easy for your team to learn and use. It should also offer security to ensure your sales intelligence is protected and kept private. Look for sales intelligence software with sales AI features and capabilities for intelligence collection and analysis:
By collecting data and insights about your customers and prospects, you'll have a stronger understanding of who they are and how your product or service can be most relevant to their needs. Sales intelligence tools supported by AI help you quickly gather and analyze essential data and use it as your foundation of information throughout the sales process.
See how Sales Cloud speeds up the sales cycle with data and AI, making you more efficient at every step.
Sales intelligence — which uses tools to gather, analyze, and apply data — is a strategic process that improves lead quality and increases sales. By using sales intelligence, teams can find the right prospects, understand their needs, and engage with them at the optimal time.
Sales intelligence involves gathering, analyzing, and applying data to identify new opportunities. A CRM system is a tool for managing and acting on existing customer information. Sales intelligence works with CRMs to enhance their capabilities, delivering actionable insights and improving the sales process.
Sales intelligence shortens the sales cycle by streamlining processes and providing actionable insights. AI-powered sales tools identify high-potential leads, allowing your team to focus on the best opportunities. Automation handles repetitive tasks like data entry, lead scoring, and follow-ups, so you have more time to focus on selling.
Companies of all sizes can benefit from sales intelligence. It helps small businesses compete by making outreach more targeted, identifying high-potential leads, and personalizing customer interactions. Even with limited resources, sales intelligence allows them to gain insights that maximize efficiency and drive sales growth.
Sales intelligence can take several forms. Firmographic data includes basic details about a company, like its industry, size, number of employees, and revenue. Contact data provides information about individuals within a company, such as their names, job titles, and email addresses. Technographic data covers a prospect’s tech stack, including their current software, hardware, and processes. Intent data captures real-time signals indicating a prospect’s interest level while deal data is information collected during the sales process, such as budgets, competitors mentioned by the prospect, and past deal feedback.
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