Clients can request access to data for a targeted audience by setting geographic boundaries as well as multiple attribute filters. By specifying the target criteria and focusing on an extremely specific list of consumers that matches their desired interest, they can run their sales and service campaigns with great efficiency.

Clients can create direct consumer outreach data files at their fingertips with the power of artificial intelligence to guide them through valuable analytic research. We work closely with our clients to understand their specific goals and help them understand their options and solidify their focus on selections that optimize their budget by creating narrowly focused consumer data list that are right on point!

Personal identification such as names, address, cellphone numbers (where available) and landline phone numbers (where available) are automatically included in the resultant data products. Verified emails may also be appended in the order as an option to their data by request and purchase.

We look forward to guiding clients through the process to serve the best interests of their needs. To provide this service to our clients as they expect and deserve, we need to understand the goals and limitations of their project and budget. For potential and current clients who want or need personal assistance through the data selection and filtering process, we ask them to please ask us for help by allowing us to guide through the process. To begin the process, clients must first provide us with a good description of the desired criteria, and we will review it for clarity.

These are a minimum basic guide to filtering attribute criteria, but others will certainly apply based on the project specific goals: 1.) Full Name and email Address of Requestor 2.) Identify, by name, of the Organization requesting the data 3.) Provide a Valid Budget expectation so we can focus on suitable data 4.) Provide a specific geographic Region of Interest for your data request 5.) Include filtering criteria to be used to process the data, such as: • Auto Buy New Interest • Auto Buy Used Interest • Auto Buy Used Next 5 Months • Auto Buy Used 6 Months Plus

6.) Available emails (unverified) 7.) Available fully verified emails 8.) Are cell phone numbers for individuals a requirement? 9.) How urgently do you need this data delivered?

Standard delivery is within 3 to 5 business days of full agreement of request criteria when verified emails are included.

Expedited delivery is within 1 business day of full agreement of request criteria when there is no need of verified emails.

Universities are welcomed and they usually qualify for special academic discounts (please ask if you think this may apply).

We always follow laws and regulations of the USA for consumer data products. Therefore, an additional validation processes may be required based on location and request. We do not provide legal advice to our clients, but we try to help them by providing as much information on the topics we know. Keep in mind, each state in the union may or may not have legal restrictions on the consumer data and it is the client's responsibility to be aware and comply with all laws regarding data we may provide.

Use our Best Buy products to collect ratings, prices, and descriptions about products from an e-commerce online web. You can purchase either the entire dataset or a customized subset, depending on your requirements. The Best Buy Products Dataset stands as a comprehensive resource for businesses, researchers, and analysts aiming to navigate the vast array of products offered by Best Buy, a leading retailer in consumer electronics and technology. Tailored to provide a deep understanding of Best Buy's e-commerce ecosystem, this dataset facilitates market analysis, pricing optimization, customer behavior comprehension, and competitor assessment. At its core, the dataset encompasses essential attributes such as product ID, title, descriptions, ratings, reviews, pricing details, and seller information. These fundamental data elements empower users to glean insights into product performance, customer sentiment, and seller credibility, thereby facilitating informed decision-making processes. Whether you're a retailer looking to enhance your product portfolio, a researcher investigating trends in consumer electronics, or an analyst seeking to refine e-commerce strategies, the Best Buy Products Dataset offers a valuable resource for uncovering opportunities and driving success in the ever-evolving landscape of retail.

Envestnet®| Yodlee®'s Consumer Purchase Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

According to a survey conducted in May 2024, 45 percent of respondents in the United States were somewhat willing to purchase premium products or services from companies with stronger data protection policies. The same trend can be noticed among different age groups, as more than 40 percent of U.S. respondents in each age group were somewhat willing to buy premium products when it came to data protection. Around half of respondents aged between 25 and 44 were willing to pay extra for better data security, while a comparatively smaller share of 42 percent among respondents aged 18 to 24 years old were willing to do so.

Reach key decision makers across all industries and buy email list to market to them. You can buy email list by industry to focus on particular segments specific to your services or products to generate maximum response. Get high-quality, up-to-date email leads with verified emails, phone, address and more. America’s Trusted Data Source Since 2011 Clean and Verified List that you can Push Straight to your CRM Industry’s Largest Database of Personal Emails 100% Privacy Compliant Email Lists

Purchase Order commodity line level detail for City of Austin Commodities/Goods purchases dating back to October 1st, 2009. Each line includes the NIGP Commodity Code/COA Inventory Code, commodity description, quantity, unit of measure, unit price, total amount, referenced Master Agreement if applicable, the contract name, purchase order, award date, and vendor information. The data contained in this data set is for informational purposes only. Certain Austin Energy transactions have been excluded as competitive matters under Texas Government Code Section 552.133 and City Council Resolution 20051201-002.

Capture all Amazon product listing details with confidence that you are getting complete and current data. Rainforest API offers comprehensive coverage of each of the product listings or search results in a cleanly structured output.

Rainforest API's advanced parsing means the results returned are exactly what a human user would see. You can request data from any Amazon domain and originate your request from any country in the world. The high-capacity, global infrastructure of the Rainforest API assures you the highest level of performance and reliability. For easy integration with your apps, data is delivered in JSON or CSV format. A convenient CSV Builder allows customization of data columns.

Data is retrieved in real time, by search term, or for single products, by global identifiers such as GTIN, ISBN, UPC and EAN rather than Amazon ASIN. The API automatically performs the ASIN conversion for each request. You can also submit a product page URL (product results), or a category ID (category search results) instead.

So what's in the data from Rainforest API?

Product: - Brand & manufacturer - Manufacturer & Amazon product descriptions - Specifications - Buy Box Winner: price, etc. - 1st party, 2nd party & 3rd party seller data - Additional product details (i.e. energy efficiency, add-ons) - A-Plus content - Imagery - Product videos - Category details (category, bestseller category) - Deals (types, states) - Bundles - Seller offers (including delivery options) - Frequently bought together / Also bought - Also viewed / Similar item to consider - Rating & reviews (incl. full review, top positive, top negative, manufacturer replies) - Stock estimation - Sales estimation (for select Amazon domains)

Search Results: - Product details per search result - Position - Related searches - Related brands

...and more, depending on your request parameters or the search result.

How can Traject Data: Amazon Product Results Data be used? - Product listing management - Price monitoring - Brand protection - Category & product trends monitoring - Market research & competitor intelligence - Location-specific & cross-border Amazon shipping data - Rank tracking on Amazon

Who uses Traject Data: Amazon Product Results Data? This data is leveraged by software developers, marketers, founders, sales & business development teams, researchers, and data analysts & engineers in ecommerce, other retail/wholesale business, agencies and SaaS platforms.

Anyone in your organization who works with your digital presence can develop business intelligence and strategy using this advanced product data.

The State Contract and Procurement Registration System (SCPRS) was established in 2003, as a centralized database of information on State contracts and purchases over $5000. eSCPRS represents the data captured in the State's eProcurement (eP) system, Bidsync, as of March 16, 2009. The data provided is an extract from that system for fiscal years 2012-2013, 2013-2014, and 2014-2015

Data Limitations:
Some purchase orders have multiple UNSPSC numbers, however only first was used to identify the purchase order. Multiple UNSPSC numbers were included to provide additional data for a DGS special event however this affects the formatting of the file. The source system Bidsync is being deprecated and these issues will be resolved in the future as state systems transition to Fi$cal.

Data Collection Methodology:

The data collection process starts with a data file from eSCPRS that is scrubbed and standardized prior to being uploaded into a SQL Server database. There are four primary tables. The Supplier, Department and United Nations Standard Products and Services Code (UNSPSC) tables are reference tables. The Supplier and Department tables are updated and mapped to the appropriate numbering schema and naming conventions. The UNSPSC table is used to categorize line item information and requires no further manipulation. The Purchase Order table contains raw data that requires conversion to the correct data format and mapping to the corresponding data fields. A stacking method is applied to the table to eliminate blanks where needed. Extraneous characters are removed from fields. The four tables are joined together and queries are executed to update the final Purchase Order Dataset table. Once the scrubbing and standardization process is complete the data is then uploaded into the SQL Server database.

Secondary/Related Resources:

• State Contract Manual (SCM) vol. 2 http://www.dgs.ca.gov/pd/Resources/publications/SCM2.aspx
• State Contract Manual (SCM) vol. 3 http://www.dgs.ca.gov/pd/Resources/publications/SCM3.aspx
• Buying Green http://www.dgs.ca.gov/buyinggreen/Home.aspx
• United Nations Standard Products and Services Code, http://www.unspsc.org/

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Find details of Best Buy Produce International Inc Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

For 2024's Black Friday and Cyber Monday sales event, also known as the 'Cyber Week', approximately 77 percent of shoppers in the United States that planned to visit online retailers during Cyber Week specifically intended to buy clothing and accessories, making it the most popular product category. Just over 70 percent of respondents also planned to buy electronics.

Clients can request access to data for a targeted audience by setting geographic boundaries as well as multiple attribute filters. By specifying the target criteria and focusing on an extremely specific list of consumers that matches their desired interest, they can run their sales and service campaigns with great efficiency. Clients can create direct consumer outreach data files at their fingertips with the power of artificial intelligence to guide them through valuable analytic research. We work closely with our clients to understand their specific goals and help them understand their options and solidify their focus on selections that optimize their budget by creating narrowly focused consumer data list that are right on point! Personal identification such as names, address, cellphone numbers (where available) and landline phone numbers (where available) are automatically included in the resultant data products. Verified emails may also be appended in the order as an option to their data by request and purchase. We look forward to guiding clients through the process to serve the best interests of their needs. To provide this service to our clients as they expect and deserve, we need to understand the goals and limitations of their project and budget. For potential and current clients who want or need personal assistance through the data selection and filtering process, we ask them to please ask us for help by allowing us to guide through the process. To begin the process, clients must first provide us with a good description of the desired criteria, and we will review it for clarity. These are a minimum basic guide to filtering attribute criteria, but others will certainly apply based on the project specific goals: 1.) Full Name and email Address of Requestor 2.) Identify, by name, of the Organization requesting the data 3.) Provide a Valid Budget expectation so we can focus on suitable data 4.) Provide a specific geographic Region of Interest for your data request 5.) Include filtering criteria to be used to process the data, such as: • Phone Numbers • Email • Gender • Age • Marital Status • Ethnic Group & Codes • Religion • Political Ideology • Education Level • Business Owner • Personal Investment (types) • Register to Vote • Primary Language 6.) Available emails (unverified) 7.) Available fully verified emails 8.) Are cell phone numbers for individuals a requirement? 9.) How urgently do you need this data delivered?

Standard delivery is within 3 to 5 business days of full agreement of request criteria when verified emails are included. Expedited delivery is within 1 business day of full agreement of request criteria when there is no need of verified emails. Universities are welcomed and they usually qualify for special academic discounts (please ask if you think this may apply). We always follow laws and regulations of the USA for consumer data products. Therefore, an additional validation processes may be required based on location and request. We do not provide legal advice to our clients, but we try to help them by providing as much information on the topics we know. Keep in mind, each state in the union may or may not have legal restrictions on the consumer data and it is the client's responsibility to be aware and comply with all laws regarding data we may provide.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

According to the results of a recent survey conducted in the United States, most respondents across all age groups preferred to buy products directly in stores. The highest share of in-store buyers was among baby boomers, with 83 percent. On the other hand, the same generation did not seem as interested as others in buying products through companies' apps or social media.

52 percent of U.S. respondents answer our survey on "Sources of information about products" with "Search engines (e.g., Google)". The survey was conducted in 2024, among 10,147 consumers.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

CE Transact Signal USA is the premier merchant attributable alternative data set tracking consumer spend on credit and debit cards for brands and tickers in industries like beauty products and services, available as a panelized aggregated feed.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.