What is Sales Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Sales Data?
Sales data relates to a company’s selling activities, inc. products or services sold, the volume and value of these sales, customer demographics, and when these transactions took place. Companies use sales data to enhance their pricing, operational efficiency, and ultimately improve profit margins.
Best Sales Databases & Datasets
Here is our curated selection of top Sales Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Prospect Data | 148MM+ US Contacts for B2B Sales Prospecting, Sales Intelligence, and Sales Outreach
Analyze Weather Forecast Data and Sales Data to Identify Business Trends | Weather-Based Demand Forecast Indices | Ecommerce Sales Data Impact
Autoscraping | USA Real Estate Agents | Verified Contact & Sales Data
Ecommerce Leads Data API | Target Ecommerce Professionals | Drive Online Sales | Best Price Guarantee
Prospect Data API | Access 700M+ Professional Profiles | Enrich Your Sales Pipeline | Best Price Guarantee
Vision EUR Retail & Ecommerce Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
Health Care Provider (HCP) Data | Physicians Data, Hospital Data | Global Coverage | Pharmaceutical Sales Targeting
Vision Europe Retail & In-Store Sales Data | Austria, France, Germany, Italy, Spain, UK | 6.7M Accounts, 5K Merchants, 600 Companies
B2B Contact Data Enrichment API | Enhance Your Sales and Marketing Efforts | Verified Records from 700M+ Profiles | Best Price Guarantee
PREDIK Data-Driven Sales Data & B2B Leads Data: Custom Data Service Powered By AI to Find New Lead Opportunities (ESG Compliance)
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Top Sales Data Providers & Companies
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Salutary Data
CoverageUSAVSalutary has been a game-changer for our business. The data they provide is consistently clean, comprehensive, and highly reliable, giving us the confidence to make well-informed decisions. Their level of service is truly top-notch—always responsive, professional, and willing to go the extra mile to ensure we get exactly what we need. From accuracy to customer support, Salutary has exceeded our expectations in every way. If you're looking for a data partner that delivers quality and value, we highly recommend them!
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Consumer Edge
CoverageUSAUK+248Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web data, and email receipt data spans dozens of industries, hundreds of companies, and global geographies to empower strategic decision-making.100M+Credit & Debit Cards30K+Public & Private Brands700+Parent Companies -
PredictLeads
CoverageUSAUK+248VPredictLeads has been a game-changer in lead discovery for our business. With its clean datasets and real-time accuracy, we've uncovered a stream of new, high-quality leads. They have given us a competitive edge, enabling strategic outreach and boosting our overall business growth. Moreover, awesome customer service and response rate!
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Wetter.com
CoverageUSAUK+248We offer data-driven insights and solutions which open perspectives to optimize your business and leverage undiscovered business potential. For this we use the latest methods from data science and predictive analytics. We are powered by wetter.com, the leading weather portal in the DACH region.up-to-datedatahourlyforecastsexpertsquality assured data -
AutoScraping
CoverageUSAUK+248We convert millions of unstructured data on structured, clean and precise data.+300Clients100%Job succes on Upwork+100kScraped websites -
AIKE
CoverageUSAUK+248SWe are thoroughly impressed with Scorri's exceptional provision of high-quality data at a competitive price point. The data's superior quality, coupled with its extensive volume, has significantly reduced our cleansing efforts and facilitated accurate analysis, ultimately saving us valuable time. Kudos to Scorri for their outstanding service!
Popular Use Cases for Sales Data
Sales Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Sales Data.
Main Attributes of Sales Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The first name of a contact. | View 465 datasets | |
| String | The last name (surname) of a contact. | View 465 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 381 datasets | |
| String | The industry classification of a company. | View 323 datasets | |
| String | The approx. number of employees working for a company. | View 319 datasets | |
| String | The name of a country. | View 284 datasets |
Sales Data Explained
Sales Data Use Cases Explained
1. Sales Performance Analysis
Sales data can be used to analyze the performance of a company’s sales team. By examining sales data, businesses can identify trends, patterns, and areas of improvement. This analysis can help in setting sales targets, evaluating sales strategies, and making informed decisions to optimize sales performance.
2. Customer Segmentation
Sales data can be utilized to segment customers based on various criteria such as demographics, purchasing behavior, or buying preferences. This segmentation allows businesses to tailor their marketing and sales efforts to specific customer groups, resulting in more targeted and effective campaigns.
3. Forecasting and Demand Planning
Sales data can be used to forecast future sales and predict demand for products or services. By analyzing historical sales data, businesses can identify seasonal patterns, market trends, and other factors that influence sales. This information enables accurate demand planning, inventory management, and production scheduling.
4. Sales Funnel Analysis
Sales data can provide insights into the different stages of the sales funnel, from lead generation to conversion. By analyzing the data at each stage, businesses can identify bottlenecks, optimize the sales process, and improve conversion rates. This analysis helps in identifying the most effective sales strategies and allocating resources accordingly.
5. Sales Territory Management
Sales data can assist in managing sales territories effectively. By analyzing sales data by geographic regions, businesses can identify high-potential areas, allocate resources appropriately, and optimize sales coverage. This analysis helps in maximizing sales opportunities and ensuring efficient territory management.
6. Competitor Analysis
Sales data can be used to analyze the performance of competitors in the market. By comparing sales data with competitors, businesses can identify their market share, competitive advantages, and areas where they need to improve. This analysis helps in developing effective strategies to stay ahead in the market.
7. Pricing Optimization
Sales data can provide insights into the impact of pricing on sales volume and revenue. By analyzing sales data at different price points, businesses can determine the optimal pricing strategy that maximizes profitability. This analysis helps in setting competitive prices, implementing pricing promotions, and improving overall pricing effectiveness.
8. Sales Team Performance Evaluation
Sales data can be used to evaluate the performance of individual sales team members. By tracking sales data for each team member, businesses can identify top performers, areas for improvement, and training needs. This evaluation helps in setting performance targets, providing targeted coaching, and motivating
Common Attributes of Sales Data
Sales data is a collection of information that provides insights into the performance and trends of a company’s sales activities. The possible attributes of sales datasets include but are not limited to: date and time of sale, product or service sold, quantity sold, price per unit, total revenue, customer information (such as name, contact details, and location), salesperson responsible for the sale, payment method, discounts or promotions applied, and any additional relevant details. Here’s a table of the main attributes you might find on Sales Datasets:
| Attribute | Description |
|---|---|
| Date | The date on which the sale was made |
| Time | The time at which the sale was made |
| Product | The name or code of the product sold |
| Quantity | The number of units sold |
| Price | The price per unit of the product |
| Total Sales | The total amount of sales for a particular transaction |
| Customer | The name or ID of the customer who made the purchase |
| Salesperson | The name or ID of the salesperson who made the sale |
| Location | The location or store where the sale took place |
| Payment Method | The method used by the customer to make the payment |
| Discount | Any discount applied to the sale |
| Tax | The tax amount applied to the sale |
| Profit | The profit generated from the sale |
| Return Reason | The reason for any returned or refunded items |
| Return Quantity | The number of units returned or refunded |
| Return Date | The date on which the return was made |
| Return Time | The time at which the return was made |
| Return Amount | The amount refunded for the returned items |
| Return Method | The method used to process the return and refund |
| Return Approved By | The person who approved the return and refund |
| Return Notes | Any additional notes or comments regarding the return |
Frequently Asked Questions
How is the Quality of Sales Data Maintained?
The quality of Sales Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Sales Data Updated?
The update frequency for Sales Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Sales Data Secure?
The security of Sales Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Sales Data Delivered?
Sales Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Sales Data.
How Much Does Sales Data Cost?
The cost of Sales Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Sales Data for your needs.
What Are Similar Data Types to Sales Data?
Sales Data is similar to other data types, such as Consumer Review Data, Product Data, Ecommerce Data, Online Purchase Data, and Online Shopping Data. These related categories are often used together for applications like Purchase Intelligence and Product Research.
