Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

Why Choose Success.ai’s Consumer Behavior Data?

1. Verified Contact Data for Precision Engagement

   • Access verified email addresses, phone numbers, and LinkedIn profiles of professionals in the consumer goods and electronics industries.
   • AI-driven validation ensures 99% accuracy, optimizing communication efficiency and minimizing data gaps.

2. Comprehensive Global Coverage

   • Includes profiles from key markets in Asia, the US, and Europe, covering regions such as China, India, Germany, and the United States.
   • Gain insights into region-specific consumer trends, product preferences, and purchasing behaviors.

3. Continuously Updated Datasets

   • Real-time updates capture career progressions, company expansions, market shifts, and consumer trend data.
   • Stay aligned with evolving market dynamics and seize emerging opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and legal compliance for all data-driven campaigns.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with industry leaders, marketers, and decision-makers in consumer goods and electronics industries worldwide.
• Consumer Trend Insights: Gain detailed insights into product preferences, purchasing patterns, and demographic influences.
• Business Locations: Access geographic data to identify regional markets, operational hubs, and emerging consumer bases.
• Professional Histories: Understand career trajectories, skills, and expertise of professionals driving innovation and strategy.

Key Features of the Dataset:

1. Decision-Maker Profiles in Consumer Goods and Electronics

   • Identify and engage with professionals responsible for product development, marketing strategy, and supply chain optimization.
   • Target individuals making decisions on consumer engagement, distribution, and market entry strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (consumer electronics, FMCG, luxury goods), geographic location, or job function.
   • Tailor campaigns to align with specific industry trends, market demands, and regional preferences.

3. Consumer Trend Data and Insights

   • Access data on regional product preferences, spending behaviors, and purchasing influences across key global markets.
   • Leverage these insights to shape product development, marketing campaigns, and customer engagement strategies.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing and Demand Generation

   • Design campaigns tailored to consumer preferences, regional trends, and target demographics in the consumer goods and electronics industries.
   • Leverage verified contact data for multi-channel outreach, including email, social media, and direct marketing.

2. Market Research and Competitive Analysis

   • Analyze global consumer trends, spending patterns, and product preferences to refine your product portfolio and market positioning.
   • Benchmark against competitors to identify gaps, emerging needs, and growth opportunities in target regions.

3. Sales and Partnership Development

   • Build relationships with key decision-makers at companies specializing in consumer goods or electronics manufacturing and distribution.
   • Present innovative solutions, supply chain partnerships, or co-marketing opportunities to grow your market share.

4. Product Development and Innovation

   • Utilize consumer trend insights to inform product design, pricing strategies, and feature prioritization.
   • Develop offerings that align with regional preferences and purchasing behaviors to maximize market impact.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...

Around 36 percent of consumers in the United States stated that they were making an effort to buy fewer things in a bid to be more environmentally friendly in 2024. Roughly a fifth of people were intentionally buying from green brands.

In today’s rapidly evolving digital landscape, understanding consumer behavior has never been more crucial for businesses seeking to thrive. Our Consumer Behavior Data database serves as an essential tool, offering a wealth of comprehensive insights into the current trends and preferences of online consumers across the United States. This robust database is meticulously designed to provide a detailed and nuanced view of consumer activities, preferences, and attitudes, making it an invaluable asset for marketers, researchers, and business strategists.

Extensive Coverage of Consumer Data Our database is packed with thousands of indexes that cover a broad spectrum of consumer-related information. This extensive coverage ensures that users can delve deeply into various facets of consumer behavior, gaining a holistic understanding of what drives online purchasing decisions and how consumers interact with products and brands. The database includes:

Product Consumption: Detailed records of what products consumers are buying, how frequently they purchase these items, and the spending patterns associated with these products. This data allows businesses to identify popular products, emerging trends, and seasonal variations in consumer purchasing behavior. Lifestyle Preferences: Insights into the lifestyles of consumers, including their hobbies, interests, and activities. Understanding lifestyle preferences helps businesses tailor their marketing strategies to resonate with the values and passions of their target audiences. For example, a company selling fitness equipment can use this data to identify consumers who prioritize health and wellness.

Product Ownership: Information on the types of products that consumers already own. This data is crucial for businesses looking to introduce complementary products or upgrades. For instance, a tech company could use product ownership data to target consumers who already own older versions of their gadgets, offering them incentives to upgrade to the latest models.

Attitudes and Beliefs: Insights into consumer attitudes, opinions, and beliefs about various products, brands, and market trends. This qualitative data is vital for understanding the emotional and psychological drivers behind consumer behavior. It helps businesses craft compelling narratives and brand messages that align with the values and beliefs of their target audience.

A survey conducted in October 2022 found that more than half of consumers in the U.S. were buying more items on sale compared to before. In order to save money, many people in the United States also started buying more generic brand products and buying in bulk.

Consumer behavior-United States-History is a book subject. It includes 8 books, written by 7 different authors.

According to a 2022 survey, more than half (53 percent) of U.S. consumers read the product descriptions in social media posts to learn more about the brand. In addition, 45 percent of respondents considered it important for brands to respond to social media comments. Moreover, more than one-third (35 percent) said they had purchased a brand's product after seeing a livestream on social media.

In today's fast-paced world, understanding consumer behavior isn't just advantageous; it's essential for businesses striving to thrive in competitive markets. Enter Consumer Behavior Data – the game-changer in modern marketing strategies. But what makes it so indispensable? Let's delve into the key features, applications, and why choosing the right provider is paramount.

Why Choose Consumer Behavior Data?

Consumer Behavior Data acts as a compass, guiding businesses through the ever-evolving landscape of consumer preferences. By harnessing this data, companies gain invaluable insights into what drives their target audience, enabling them to tailor products, services, and marketing efforts accordingly. In essence, it's the foundation upon which successful strategies are built.

Key Features That Set Consumer Behavior Data Apart:

● Granularity: Unlike traditional market research methods, Consumer Behavior Data provides granular insights into individual consumer actions, preferences, and trends. This level of detail empowers businesses to make data-driven decisions with pinpoint accuracy.

● Predictive Capabilities: By analyzing past behaviors, Consumer Behavior Data can forecast future trends with remarkable accuracy. This predictive capability enables businesses to stay ahead of the curve, preempting market shifts and proactively meeting consumer demands.

Applications of Consumer Behavior Data:

● Market Segmentation: By identifying distinct consumer segments based on behavior patterns, businesses can tailor their marketing strategies to resonate with specific audience segments, maximizing engagement and conversion rates.

● Personalized Marketing: Consumer Behavior Data enables hyper-personalized marketing campaigns tailored to individual preferences and purchasing behaviors. From personalized recommendations to targeted advertisements, businesses can deliver content that resonates on a personal level, fostering stronger customer relationships.

● Product Development: Understanding consumer behavior is integral to product development. By analyzing feedback, purchase patterns, and consumer sentiments, businesses can refine existing products or innovate new ones that address unmet needs and preferences.

● Customer Retention: Leveraging Consumer Behavior Data, businesses can anticipate customer needs, identify potential churn risks, and implement proactive retention strategies. By delivering personalized experiences and addressing pain points, businesses can foster loyalty and long-term customer relationships.

Why We're the Superior Choice:

● Customized Solutions: Recognizing that every business is unique, we offer customizable solutions tailored to your specific objectives, ensuring maximum relevance and efficacy. ● Simply put – More Data! We offer more consumer data profiles than anyone in the market allowing you to access the largest source of consumer behavior data. ● Robust Data Security: We prioritize the security and privacy of consumer data, implementing stringent measures to safeguard against breaches and unauthorized access.

Access consumer behavior data for 700M+ consumer goods and electronics professionals globally with Success.ai. Includes detailed contact information, professional histories, and business locations. GDPR-compliant. Best price guaranteed.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. This survey was undertaken to assess consumer sentiment and buying plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' opinions of their health relative to that of other people in their age group, the relative merits of small and standard full-size cars as well as of small foreign cars and small American cars, the long-term cost and durability of certain household appliances, their satisfaction with the amount of money they had in savings, their satisfaction with life in the United States and with their lives in general, the United States government's help to the South Vietnamese government, and the seriousness of Arab nations' intentions regarding peace with Israel. Additional topics covered include a solution to the energy crisis, penalties for smoking marijuana, freedom to make uncomplimentary public speeches, communism in the United States and free speech, causes of crime and lawlessness, the role of government in improving the quality of life of the people, job satisfaction, monetary drive of lawyers and doctors and the state of the public good, and unionization of workers, as well as their financial status relative to the previous year and relative to that of their parents at a comparable age. Information is also provided on respondents' car ownership and the make and use of it, religious group affiliation, hobbies, political influence, political party identification, and self-identified ideological position. Demographic variables provide information on respondents' age, sex, race, marital status, education, occupation, employment status, religion, and family income.

Envestnet®| Yodlee®'s Consumer Behavior 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 the results of a survey carried out in 2023, around 48 percent of Gen Z respondents in the United States stated that pricing is the feature that attracts them most to beauty or skincare brands. Samples and innovation ranked second and third, respectively.

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index.

The CE program is comprised of two separate components (each with its own survey questionnaire and independent sample), the Diary Survey and the quarterly Interview Survey (ICPSR 36237). This data collection contains the Diary Survey component, which was designed to obtain data on frequently purchased smaller items, including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs. Each consumer unit (CU) recorded its expenditures in a diary for two consecutive 1-week periods. Although the diary was designed to collect information on expenditures that could not be easily recalled over time, respondents were asked to report all expenses (except overnight travel) that the CU incurred during the survey week.

The 2013 Diary Survey release contains five sets of data files (FMLD, MEMD, EXPD, DTBD, DTID), and one processing file (DSTUB). The FMLD, MEMD, EXPD, DTBD, and DTID files are organized by the quarter of the calendar year in which the data were collected. There are four quarterly datasets for each of these files.

The FMLD files contain CU characteristics, income, and summary level expenditures; the MEMD files contain member characteristics and income data; the EXPD files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTBD files contain the CU's reported annual income values or the mean of the five imputed income values in the multiple imputation method; and the DTID files contain the five imputed income values. Please note that the summary level expenditure and income information on the FMLD files permit the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

The DSTUB file provides the aggregation scheme used in the published consumer expenditure tables. The DSTUB file is further explained in Section III.F.6. 'Processing Files' of the Diary Survey Users' Guide. A second documentation guide, the 'Users' Guide to Income Imputation,' includes information on how to appropriately use the imputed income data.

Demographic and family characteristics data include age, sex, race, marital status, and CU relationships for each CU member. Income information was also collected, such as wage, salary, unemployment compensation, child support, and alimony, as well as information on the employment of each CU member age 14 and over.

The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on 'Other' in the Dataset(s) section). The tables show average and percentile expenditures for detailed items, as well as the standard error and coefficient of variation (CV) for each spending estimate. The BLS unpublished integrated CE data tables are provided as an easy-to-use tool for obtaining spending estimates. However, users are cautioned to read the BLS explanatory letter accompanying the tables. The letter explains that estimates of average expenditures on detailed spending items (such as leisure and art-related categories) may be unreliable due to so few reports of expenditures for those items.

Across the United States and Canada, decision makers in the food service industry were asked about the new changes in consumer behavior that they found to be most challenging as of August 2020. A majority of respondents, 56 percent, stated that consumer concerns for personal health and safety were the most challenging. This finding coincides with developments relating to the coronavirus (COVID-19) pandemic at that time.

This dataset provides a sample of survey data collected by the American Customer Satisfaction Index (ACSI). Using online sampling and stratified interviewing techniques of actual customers of predominantly large market-share (“large cap”) companies, the ACSI annually collects data from some 400,000 consumers residing across the United States for more than 400 companies within about 50 consumer industries. For this data depository, consumers’ perceptions of their experiences with individual companies included within four consumer industries as defined and measured by ACSI – processed food, commercial airlines, Internet service providers, and commercial banks – are included in the dataset. The overall sample size is n=8239 consumer responses for this sample ACSI dataset. These industries were chosen to represent and illustrate a cross-section of data from differentiated sectors, not because they are representative of the larger economy or larger ACSI dataset per se.

In 2018, 83 percent of consumers in the United States stated that their frequency of shopping online had increased over the previous five years. 55 percent of respondents stated that they went to shopping malls less than they did five years before.

Transaction data has become one of the most important forms of alternative data because it represents the “truth” in consumer spending behavior. For investors or analysts looking for an edge in their strategies, U.S. Consumer Payments – Express provides firms with unique consumer spending indicators not found in other panels, providing differentiated insights into the business drives behind a company’s performance.

• Consumer spending data derived from a panel of 4+ million cards with 100% fill rate in 1 day or less from transaction.

• Insight into low-to-middle income consumers who are under-represented in other transaction data sets

• Online vs. offline payment indicators

• Store/merchant location

• Tagging of more than 1,600 merchants and 500 tickers

• For investors and analysts who prefer to consume data aggregated at the merchant or ticker level, Facteus offers a Summary version of Express. Sourced from the same panel of 2+ million cards, Summary provides firms with the flexibility of accessing the data on a per ticker/merchant basis

U.S. advertising market size is projected to exhibit a growth rate (CAGR) of 6.70% during ​​2024-2032​. There are various factors that are driving the market, which include the increasing focus on enhancing user experience while lowering disruptions, integration of advanced technologies for enabling brands to engage with individuals, optimizing their campaigns, and measuring their impact, and changing consumer behavior.

According to a 2023 survey conducted in the United States, 81 percent of responding consumers said they purchased from the brand more frequently because they participated in a free loyalty program. Additionally, 76 percent of U.S. consumers in a free loyalty program noted that they spent more time with the brand due to their participation in the program. A similar share (78 percent) was recorded among consumers in a paid loyalty program.

Explore the USA Retail Market, covering emerging trends, e-commerce growth, consumer behavior, and innovations shaping physical and digital retail landscapes

The state of the economy has had an impact on U.S. consumer behavior during the back-to-school (BTS) season. In 2023 and 2024, over 40 percent of consumers in the United States shopped more sales and did more comparative shopping online when buying school supplies.