Success.ai’s Consumer Sentiment Data offers businesses unparalleled insights into global audience attitudes, preferences, and emotional triggers. Sourced from continuous analysis of consumer behaviors, conversations, and feedback, this dataset includes psychographic profiles, interest data, and sentiment trends that help marketers, product teams, and strategists better understand their target customers. Whether you’re exploring a new market, refining your brand message, or enhancing product offerings, Success.ai ensures your consumer intelligence efforts are guided by timely, accurate, and context-rich data.

Why Choose Success.ai’s Consumer Sentiment Data?

1. Comprehensive Audience Insights

   • Access psychographic and interest-based profiles that reveal what motivates and influences your audience’s decisions.
   • Continuous updates ensure you stay aligned with shifting consumer sentiments, seasonal preferences, and emerging trends.

2. Global Reach Across Industries and Demographics

   • Includes insights from various markets, age groups, cultural backgrounds, and income levels.
   • Identify consumer attitudes in different regions, helping you tailor campaigns, products, and messaging to diverse audiences.

3. Continuously Updated Datasets

   • Real-time data analysis ensures that your consumer sentiment insights remain fresh, relevant, and actionable.
   • Adapt quickly to consumer feedback, market changes, and competitive pressures.

4. Ethical and Compliant

   • Adheres to global data privacy regulations, ensuring your usage of consumer sentiment data is both legal and respectful of personal boundaries.

Data Highlights:

• Psychographic Profiles: Understand lifestyle preferences, values, and interests that shape consumer choices.
• Sentiment Trends: Track evolving emotional responses to brands, products, and categories.
• Global Audience Insights: Evaluate consumer sentiments across multiple regions, languages, and cultural contexts.
• Continuous Updates: Receive current data that reflects the latest shifts in mood, opinion, and interest.

Key Features of the Dataset:

1. Granular Segmentation

   • Segment audiences by demographic, interest, buying behavior, and sentiment scores for targeted marketing efforts.
   • Focus on the attributes that matter most, from eco-conscious consumers to luxury shoppers or value seekers.

2. Contextual Sentiment Analysis

   • Go beyond basic positive/negative sentiment to understand nuanced emotional responses.
   • Identify triggers that inspire loyalty, dissatisfaction, trust, or skepticism.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data provide deeper insights into consumer lifestyles, brand perceptions, and product affinities.
   • Leverage advanced analytics to develop personalized campaigns and product strategies.

Strategic Use Cases:

1. Marketing and Campaign Optimization

   • Craft campaigns that resonate emotionally by understanding what drives consumer engagement.
   • Adjust messaging, timing, and channels to align with evolving sentiment trends and seasonal shifts in consumer mood.

2. Product Development and Innovation

   • Identify unmet consumer needs and preferences before launching new products.
   • Refine features, packaging, and pricing strategies based on real-time consumer responses.

3. Brand Management and Positioning

   • Monitor brand perceptions to detect early signs of brand fatigue, trust erosion, or negative publicity.
   • Strengthen brand loyalty by addressing concerns, highlighting strengths, and adapting to changing market contexts.

4. Competitive Analysis and Market Entry

   • Benchmark consumer sentiment towards competitors, industry leaders, and emerging disruptors.
   • Assess market readiness and optimize entry strategies for new regions or segments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality, verified data at competitive prices, ensuring efficient allocation of your marketing and research budgets.

2. Seamless Integration

   • Integrate enriched sentiment data into your analytics, CRM, or marketing platforms via APIs or downloadable formats.
   • Simplify data management and accelerate decision-making processes.

3. Data Accuracy with AI Validation

   • Benefit from AI-driven validation for reliable insights into consumer attitudes, leading to more confident data-driven strategies.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific segments, regions, or interests, and scale as your business grows and evolves.

APIs for Enhanced Functionality:

1. Data Enrichment API

   • Enhance your existing consumer records with psychographic and sentiment insights, deepening your understanding of audience motivations.

2. Lead Generation API

   • Identify audience segments receptive to your messaging, streamlini...

Geodemographic Segmentation Data from Caliper Corporation contain demographic data in a way that is easy to visualize and interpret. We provide 8 segments and 32 subsegments for exploring the demographic makeup of neighborhoods across the country.

This is one of over 400 major media market consumer surveys which have been gifted to Washington State University (WSU) by Leigh Stowell & Company, Inc. of Seattle, Washington, USA. This is a market research firm which specializes in providing newspapers, television affiliates and cable operators with market segmentation research pertinent to consumer purchasing patterns and the effective marketing of goods and services to program audiences. The data in the Stowell Archive were collected via random digit dialing and computer-aided telephone interviews (CATI). Most of the surveys focus on the marketing needs of mass media clients and contain demographics, psychographics, media exposure information, and purchasing behavior data about consumers in major metropolitan areas of the United States and Canada starting in 1989. The sample sizes of the surveys range from 500 to 3,000 respondents, averaging 1,000 observations per study. Data are available at the respondent level, and all observations are keyed to zip code or other geographic identifiers. Additional surveys are anticipated, with over twenty new media marke t studies being donated annually. The University's relationship with Leigh Stowell & Company, Inc. was cultivated by Dr. Nicholas Lovrich, Director of WSU's Division of Governmental Studies and Services (DGSS) and by Dr. John Pierce, former Dean of the WSU College of Liberal Arts over the course of a decade. DGSS collaborated with WSU Libraries Digital Services to process the gifted data files into this digital archive which features powerful search and download capabilities. Further refinement of the archive in accordance with the Data Documentation Initiative is progressing with support from the Office of the Provost, the College of Liberal Arts and the WSU Libraries. It is important to note that the year indicated by the study's title is the year that the original survey was published, and is not necessarily the year in which the interviews were conducted. Refer to the metadata field "Dates of Collection" to di scern the interview dates of each specific survey. Refer also to date fields within the data file itself.

Travel themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer.

Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories.

By incorporating these extensive Vividata based datasets you will unleash the full potential of our Canadian Targeting and Profiling plans and lift your insights to the next level.

Anger Room Market size was valued at USD 199.21 Million in 2023 and is projected to reach USD 314.65 Million by 2031, growing at a CAGR of 15.2% during the forecast period 2024-2031.

Global Anger Room Market Drivers

The market drivers for the Anger Room Market can be influenced by various factors. These may include:

Increasing Stress Levels and Mental Health Awareness: Modern lifestyles, work-related pressures, and ongoing global challenges contribute to rising stress levels. As awareness of mental health issues increases, so does the interest in alternative and experiential methods for stress relief. Anger Rooms offer a unique, immediate outlet for pent-up emotions.
Urbanization and Changing Social Dynamics:Urban environments can be particularly stressful due to crowding, noise, and fast-paced living conditions. With fewer open spaces for physical stress relief activities, Anger Rooms provide a convenient and novel solution for city dwellers looking to blow off steam.
Rising Disposable Income and Experience Economy:- As disposable incomes rise, people are increasingly willing to spend on unique and memorable experiences rather than material goods. Anger Rooms fit well into the ‘experience economy,’ where consumers seek activities that offer novelty, excitement, and emotional release.
Diversification of Entertainment Options: The entertainment and leisure industry is constantly evolving to meet the demands for diverse and engaging activities. Anger Rooms offer an innovative form of entertainment that differentiates itself from traditional options like cinemas, sports events, and amusement parks.
Influence of Media and Pop Culture:Media coverage, social media, and endorsements by influencers and celebrities can significantly boost the visibility and appeal of Anger Rooms. As more people share their experiences online, it generates curiosity and interest, leading to increased foot traffic.
Corporate Interest and Team-Building Activities: Companies are always on the lookout for new team-building activities. Anger Rooms provide a unique corporate retreat option where employees can relieve stress and bond through shared, unconventional experiences.
Availability of Customizable Packages: Many Anger Rooms offer customizable experiences tailored to various customer needs, such as themed rooms, different levels of destruction, and additional services like photography or video recording. This flexibility enhances customer satisfaction and repeat visits.
Seasonal and Thematic Promotions: Anger Rooms can capitalize on seasonal trends, holidays, and events to attract more customers. For example, around Halloween or Valentine’s Day, themed rooms can attract people looking for a fun and different way to celebrate.
Therapeutic Benefits: While primarily seen as a form of entertainment, Anger Rooms are increasingly being looked at for their therapeutic benefits in managing anger and stress. Collaboration with mental health professionals and offering guided sessions could open new avenues for growth.
Global Expansion and Franchising Opportunities: As the concept proves popular in more regions, franchising and global expansion can fuel further market growth. Entering new markets allows Anger Room businesses to tap into a broader customer base.

As of August 2019, 33.59 percent of Americans in bucket 1, which corresponds to traditional credit score of at least 740, were aged 50 to 69 years. They younger age range, 18 to 49 years, takes an increasing proportion of each bucket as scores decline. This proprietary data from Infutor shows the credit-worthiness of consumers. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (higest traditional score value) to T (lowest traditional score value).

As of August 2019, 43 percent of Americans aged 50 to 69 found themselves in bucket 1, which corresponds to traditional credit score of at least 740. The younger age range, 18 to 49 years, were less likely to be in this bucket, more likely to be in each of the lower-rated buckets. This proprietary data from Infutor shows the credit-worthiness of consumers. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (higest traditional score value) to T (lowest traditional score value).

About the Project Promoting adoption of energy-efficient vehicles has become a key policy imperative in both developed and developing countries. Understanding the impact of various factors that affect adoption rates, such as: (i) consumer related factors – demographics, behavioral, psychographics; (ii) regulatory factors – policies, incentives, rebates, perks; and (iii) geo-temporal factors – weather, infrastructure, network effects; forms the backbone of KAPSARC’s efforts in the transportation field. Our team is currently developing models at different levels of resolution – micro level models using large-scale data comprising of new car buyers’ profiles and macro level models using aggregated adoption data, to understand and project the effects of various factors at play for the adoption of energy-efficient vehicles.Key Points adoption of energy-efficient technologies is a key factor in improving energy utilization. The ways in which consumers make their decisions – incorporating non-economic factors – is critical to understanding the pace and depth of adoption. We present a way of characterizing current and potential adopters of new technology and the factors that influence their decisions using battery electric vehicle (BEV) adoption in the U.S. as a case study. BEVs have the potential to secure up to ⁓2.4 percent of the U.S. automotive market. The costs of adding the features that potential BEV buyers require to change their purchase decisions, combined with the eventual removal of purchase subsidies, will likely offset the forecasted declines in battery costs. The biggest competitors to BEVs are fuel-efficient gasoline vehicles. Fuel economy instruments such as the Corporate Average Fuel Economy (CAFE) standards may work against BEV adoption targets despite BEV sales being strongly incentivized in the CAFE program.

As of August 2019, 42 percent of Americans aged 55 to 59 had a geo-credit score in bucket 1, which corresponds to traditional credit score of at least 740. The share in this bucket tends to increase with age, suggesting that aging and increases in credit scores are correlated. This proprietary data from Infutor shows the credit-worthiness of consumers. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (higest traditional score value) to T (lowest traditional score value).

As of September 2020, approximately three percent of Americans aged 55 to 59 had a geo-credit score of at least 740. This age group has the highest share of every bucket except the lowest, suggesting that it simply has the most members in the sample. This proprietary data from Infutor shows the credit-worthiness of consumers. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (highest traditional score value) to T (lowest traditional score value).

This is one of over 400 major media market consumer surveys which have been gifted to Washington State University (WSU) by Leigh Stowell & Company, Inc. of Seattle, Washington, USA. This is a market research firm which specializes in providing newspapers, television affiliates and cable operators with market segmentation research pertinent to consumer purchasing patterns and the effective marketing of goods and services to program audiences. The data in the Stowell Archive were collected via random digit dialing and computer-aided telephone interviews (CATI). Most of the surveys focus on the marketing needs of mass media clients and contain demographics, psychographics, media exposure information, and purchasing behavior data about consumers in major metropolitan areas of the United States and Canada starting in 1989. The sample sizes of the surveys range from 500 to 3,000 respondents, averaging 1,000 observations per study. Data are available at the respondent level, and all observations are keyed to zip code or other geographic identifiers. Additional surveys are anticipated, with over twenty new media marke t studies being donated annually. The University's relationship with Leigh Stowell & Company, Inc. was cultivated by Dr. Nicholas Lovrich, Director of WSU's Division of Governmental Studies and Services (DGSS) and by Dr. John Pierce, former Dean of the WSU College of Liberal Arts over the course of a decade. DGSS collaborated with WSU Libraries Digital Services to process the gifted data files into this digital archive which features powerful search and download capabilities. Further refinement of the archive in accordance with the Data Documentation Initiative is progressing with support from the Office of the Provost, the College of Liberal Arts and the WSU Libraries. It is important to note that the year indicated by the study's title is the year that the original survey was published, and is not necessarily the year in which the interviews were conducted. Refer to the metadata field "Dates of Collection" to di scern the interview dates of each specific survey. Refer also to date fields within the data file itself.

As of March 2020, approximately 2.5 percent of American women had a geo-credit score value of A, which corresponds to traditional credit score of at least 820. Meanwhile, only 2.4 percent of American men had the same. This proprietary data from Infutor shows the credit-worthiness of consumers. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (highest traditional score value) to T (lowest traditional score value).

Customer Retention with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used for customer retention purposes, such as performing a shopper retention analysis over time for a specific company.

Inquire about a CE subscription to perform more complex, near real-time competitive analysis functions on public tickers and private brands like: • Choose a pair of merchants to determine spend overlap % between them by period (yearly, quarterly, monthly) • Explore cross-shop history within subindustry and market share (updated weekly)

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Competitive Analysis

Problem A grocery delivery brand needs to assess overall company performance, including customer acquisition and retention levels relative to key competitors.

Solution Consumer Edge transaction data can uncover performance over time and help companies understand key drivers of retention: • By geography and demographics • By channel • By shop date

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on customer retention for company-wide reporting • Reduce investment in underperforming channels, both online and offline • Determine demo and geo drivers of retention for refined targeting • Analyze customer acquisition campaigns driving retention and plan accordingly

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets