Access the Large Target Store Products Dataset, a detailed collection of web-scraped data featuring a wide range of retail products. Discover trending categories, including groceries, home goods, electronics, clothing, beauty products, and more. Gain insights into product availability, pricing, customer ratings, and brand preferences from one of the leading retailers.

Perfect for market analysis, competitive research, and consumer behavior studies, this dataset offers valuable information to inform retail strategies and decision-making.

Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

Backed by our Best Price Guarantee, this solution empowers businesses to thrive in North America’s competitive retail landscape.

Why Choose Success.ai’s Retail Data for North America?

1. Verified Contact Data for Precision Outreach

   • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
   • AI-driven validation ensures 99% accuracy, enabling confident communication and efficient campaign execution.

2. Comprehensive Coverage Across Retail Segments

   • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
   • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
   • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
• 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
• Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
• Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

Key Features of the Dataset:

1. Retail Decision-Maker Profiles

   • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
   • Target professionals responsible for inventory planning, vendor contracts, and store performance.

2. Advanced Filters for Precision Targeting

   • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
   • Tailor outreach to align with regional market trends, customer demographics, and operational priorities.

3. Market Trends and Operational Insights

   • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
   • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
   • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.

2. Market Research and Consumer Insights

   • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
   • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.

3. E-Commerce and Digital Strategy Development

   • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
   • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.

4. Recruitment and Workforce Solutions

   • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
   • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.

2. Seamless Integration
   ...

Success.ai delivers unparalleled access to Retail Store Data for Asia’s retail and e-commerce sectors, encompassing subcategories such as ecommerce data, ecommerce merchant data, ecommerce market data, and company data. Whether you’re targeting emerging markets or established players, our solutions provide the tools to connect with decision-makers, analyze market trends, and drive strategic growth. With continuously updated datasets and AI-validated accuracy, Success.ai ensures your data is always relevant and reliable.

Key Features of Success.ai's Retail Store Data for Retail & E-commerce in Asia:

Extensive Business Profiles: Access detailed profiles for 70M+ companies across Asia’s retail and e-commerce sectors. Profiles include firmographic data, revenue insights, employee counts, and operational scope.

Ecommerce Data: Gain insights into online marketplaces, customer demographics, and digital transaction patterns to refine your strategies.

Ecommerce Merchant Data: Understand vendor performance, supply chain metrics, and operational details to optimize partnerships.

Ecommerce Market Data: Analyze purchasing trends, regional preferences, and market demands to identify growth opportunities.

Contact Data for Decision-Makers: Reach key stakeholders, such as CEOs, marketing executives, and procurement managers. Verified contact details include work emails, phone numbers, and business addresses.

Real-Time Accuracy: AI-powered validation ensures a 99% accuracy rate, keeping your outreach efforts efficient and impactful.

Compliance and Ethics: All data is ethically sourced and fully compliant with GDPR and other regional data protection regulations.

Why Choose Success.ai for Retail Store Data?

Best Price Guarantee: We deliver industry-leading value with the most competitive pricing for comprehensive retail store data.

Customizable Solutions: Tailor your data to meet specific needs, such as targeting particular regions, industries, or company sizes.

Scalable Access: Our data solutions are built to grow with your business, supporting small startups to large-scale enterprises.

Seamless Integration: Effortlessly incorporate our data into your existing CRM, marketing, or analytics platforms.

Comprehensive Use Cases for Retail Store Data:

1. Market Entry and Expansion:

Identify potential partners, distributors, and clients to expand your footprint in Asia’s dynamic retail and e-commerce markets. Use detailed profiles to assess market opportunities and risks.

1. Personalized Marketing Campaigns:

Leverage ecommerce data and consumer insights to craft highly targeted campaigns. Connect directly with decision-makers for precise and effective communication.

1. Competitive Benchmarking:

Analyze competitors’ operations, market positioning, and consumer strategies to refine your business plans and gain a competitive edge.

1. Supplier and Vendor Selection:

Evaluate potential suppliers or vendors using ecommerce merchant data, including financial health, operational details, and contact data.

1. Customer Engagement and Retention:

Enhance customer loyalty programs and retention strategies by leveraging ecommerce market data and purchasing trends.

APIs to Amplify Your Results:

Enrichment API: Keep your CRM and analytics platforms up-to-date with real-time data enrichment, ensuring accurate and actionable company profiles.

Lead Generation API: Maximize your outreach with verified contact data for retail and e-commerce decision-makers. Ideal for driving targeted marketing and sales efforts.

Tailored Solutions for Industry Professionals:

Retailers: Expand your supply chain, identify new markets, and connect with key partners in the e-commerce ecosystem.

E-commerce Platforms: Optimize your vendor and partner selection with verified profiles and operational insights.

Marketing Agencies: Deliver highly personalized campaigns by leveraging detailed consumer data and decision-maker contacts.

Consultants: Provide data-driven recommendations to clients with access to comprehensive company data and market trends.

What Sets Success.ai Apart?

70M+ Business Profiles: Access an extensive and detailed database of companies across Asia’s retail and e-commerce sectors.

Global Compliance: All data is sourced ethically and adheres to international data privacy standards, including GDPR.

Real-Time Updates: Ensure your data remains accurate and relevant with our continuously updated datasets.

Dedicated Support: Our team of experts is available to help you maximize the value of our data solutions.

Empower Your Business with Success.ai:

Success.ai’s Retail Store Data for the retail and e-commerce sectors in Asia provides the insights and connections needed to thrive in this competitive market. Whether you’re entering a new region, launching a targeted campaign, or analyzing market trends, our data solutions ensure measurable success.

...

In the financial year 2024, 22.36 percent of Target Corporation's merchandise sales corresponded to the food and beverage segment. Meanwhile, household essentials represented 17.47 percent of the total merchandise sales. Merchandise sales represent the vast majority of Target's revenues. The company also has other streams of revenue, including credit card profit-sharing income from their arrangement with the TD Bank Group. Beauty at Target In a 2024 survey among Generation Z in the United States, 10 percent of teenage girls named Target as a shopping destination they visited to buy beauty products. This may not sound high, but it earned Target third place of all shops in the country, ahead of other major retailers Walmart and Amazon. It was, however, a considerable distance behind the two most popular destinations, specialist beauty brands Sephora and Ulta. These findings are reflected in a different study of the same retailers, with Target having the third lowest average age of female beauty consumers, at 44 years old. Gen Z clothing purchases There is also a large Generation Z market available to Target in the clothing category. In 2023, Gen Z consumers voted big box stores, such as Target and Walmart, as the second most popular shopping destination for apparel, with 16 percent of responses. This was only one percentage point behind online stores.

Context Problem Statement

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers. It makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers.

Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only to that particular segment.

Content Attributes

People

ID: Customer's unique identifier Year_Birth: Customer's birth year Education: Customer's education level Marital_Status: Customer's marital status Income: Customer's yearly household income Kidhome: Number of children in customer's household Teenhome: Number of teenagers in customer's household Dt_Customer: Date of customer's enrollment with the company Recency: Number of days since customer's last purchase Complain: 1 if the customer complained in the last 2 years, 0 otherwise Products

MntWines: Amount spent on wine in last 2 years MntFruits: Amount spent on fruits in last 2 years MntMeatProducts: Amount spent on meat in last 2 years MntFishProducts: Amount spent on fish in last 2 years MntSweetProducts: Amount spent on sweets in last 2 years MntGoldProds: Amount spent on gold in last 2 years Promotion

NumDealsPurchases: Number of purchases made with a discount AcceptedCmp1: 1 if the customer accepted the offer in the 1st campaign, 0 otherwise AcceptedCmp2: 1 if customer accepted the offer in the 2nd customer accepted the offer in the 2nd campaign, 0 otherwise AcceptedCmp3: 1 if the customer accepted the offer in the 3rd campaign, 0 otherwise AcceptedCmp4: 1 if customer accepted the offer in the 4th customer accepted the offer in the 4th campaign, 0 otherwise AcceptedCmp5: 1 if the customer accepted the offer in the 5th campaign, 0 otherwise Response: 1 if customer accepted the offer in the last campaign, 0 otherwise Place

NumWebPurchases: Number of purchases made through the company’s website NumCatalogPurchases: Number of purchases made using a catalog NumStorePurchases: Number of purchases made directly in stores NumWebVisitsMonth: Number of visits to the company’s website in the last month Target Need to perform clustering to summarize customer segments.

Inspiration happy learning….

I hope you like this dataset please don't forget to like this dataset

Target Corporation operates a chain of general merchandise stores, which offer a wide variety of general merchandise and food to their customers. The company has operated primarily in the United States since its inception. Target did have a number of stores in operation in the Canadian market, but these were all closed in 2015. Target Corporation had revenues amounting to approximately 106.57 billion U.S. dollars in 2024, making it one of the leading American retailers. The development of an American retail giant The company started out as the Dayton Dry Goods Company in 1902, later changing its name to the Dayton Company, but more commonly known as Dayton’s. The company was run under the Dayton-Hudson Corporation banner up until the year 2000, when it was renamed Target Corporation. The company spread across the United States and even entered the Canadian market for brief period. Target Corporation has an impressive number of stores in the United States. Today, Target is one of the most valuable retail brands in the world. Where does Target’s revenue come from? Target Corporation sells a wide range of goods, such as food, apparel, household essentials, and seasonal offerings, as well as many others. The company also sells products online, through target.com. Target’s sales share is quite evenly distributed, with several high revenue segments.

Rhetorik360 is the ultimate tool to both segment your market and target, and find your ideal customer. Access detailed Firmographics and Technographics for more than 200 million+ companies globally to power your sales and marketing efforts and increase your business revenues.

Available for lead lists, data enrichment, account and contact data hygiene and validation, company technographics, leads, ABM, recruiting and other uses. One time and annual use licensing available.

Use the Rhetorik360 Company DB with its linked sister database, the Neuron 360 Global B2B Professionals Profiles Database to get the best global coverage of Companies, Offices and Professionals.

230 Million Companies 800 Million Professional Profiles 109 Company Attributes 192 Professional Profile Attributes

This is a new to market, uniquely sourced data set using the power of Rhetorik's proprietary AI. We amalgamate billions of data points from scores of sources to create a world class BTB Company and Contact data asset.

Company Profile Information: Micro-target and reach your ideal customer faster by gaining access to your complete company profile. Our global company profile data feed is always clean, accurate, up to date and compliant. Target by Technographics, Firmographics and much more.

Technographics: Our extensive technographics data sets allow you to understand the tech stack of your prospects and their interest in your products. Look forward to enhanced insight to power your company’s organizational and segmentation efforts, improve your qualification process, increase the effectiveness of your account base marketing, and shorten your sales cycles. Rhetorik's technology data organizes installed enterprise technologies across all major hardware and software product categories, allowing easy searching and filtering on buyers’ technology assets. We track:

26 Million+ technology installs 20,000+ technology products 7,900+ technology vendors 180+ technology categories

Firmographics: Our Firmographics will help you to more efficiently and effectively segment your company through comprehensive data-analysis of your target markets! Determining if a business is the right fit for your company has never been easier. Experience the power of targeted messaging which can be adapted to each and every target audience; taking into account business size, budget, and much more!

Access it where and when you need it. Rhetorik360-Profiles is available via APIs, Snowflake Marketplace, or bulk delivery in JSON and CSV formats and supports a wide range of use cases. Data is refreshed weekly, so you can be sure your information is always up to date!

North America: 55M+ Companies EMEA: 70M+ Companies APAC: 45M+ Companies LATAM: 30M+ Companies

In 2024, Target Corporation's food and beverage product segment generated sales of approximately 23.8 billion U.S. dollars. In contrast, the hardline segment, which include electronics, toys, entertainment, sporting goods, and luggage, registered sales of 15.8 billion U.S. dollars. Target Corporation had revenues amounting to around 106.6 billion U.S. dollars that year.

Analysis of ‘Customer Personality Analysis’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/imakash3011/customer-personality-analysis on 21 November 2021.

--- Dataset description provided by original source is as follows ---

Context

Problem Statement

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers.

Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only on that particular segment.

Content

Attributes

People

• ID: Customer's unique identifier
• Year_Birth: Customer's birth year
• Education: Customer's education level
• Marital_Status: Customer's marital status
• Income: Customer's yearly household income
• Kidhome: Number of children in customer's household
• Teenhome: Number of teenagers in customer's household
• Dt_Customer: Date of customer's enrollment with the company
• Recency: Number of days since customer's last purchase
• Complain: 1 if customer complained in the last 2 years, 0 otherwise

Products

• MntWines: Amount spent on wine in last 2 years
• MntFruits: Amount spent on fruits in last 2 years
• MntMeatProducts: Amount spent on meat in last 2 years
• MntFishProducts: Amount spent on fish in last 2 years
• MntSweetProducts: Amount spent on sweets in last 2 years
• MntGoldProds: Amount spent on gold in last 2 years

Promotion

• NumDealsPurchases: Number of purchases made with a discount
• AcceptedCmp1: 1 if customer accepted the offer in the 1st campaign, 0 otherwise
• AcceptedCmp2: 1 if customer accepted the offer in the 2nd campaign, 0 otherwise
• AcceptedCmp3: 1 if customer accepted the offer in the 3rd campaign, 0 otherwise
• AcceptedCmp4: 1 if customer accepted the offer in the 4th campaign, 0 otherwise
• AcceptedCmp5: 1 if customer accepted the offer in the 5th campaign, 0 otherwise
• Response: 1 if customer accepted the offer in the last campaign, 0 otherwise

Place

• NumWebPurchases: Number of purchases made through the company’s web site
• NumCatalogPurchases: Number of purchases made using a catalogue
• NumStorePurchases: Number of purchases made directly in stores
• NumWebVisitsMonth: Number of visits to company’s web site in the last month

Target

Need to perform clustering to summarize customer segments.

Solution

You can take help from following link to know more about the approach to solve this problem. Visit this URL

Inspiration

happy learning....

Hope you like this dataset please don't forget to like this dataset

--- Original source retains full ownership of the source dataset ---

Electric Cordless Leaf Blower Market Outlook

The global electric cordless leaf blower market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 2.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.3% during the forecast period. The primary growth factors driving this market include the increasing demand for efficient and eco-friendly gardening tools, advancements in battery technology, and a growing inclination towards convenience and user-friendly products.

One of the major growth factors in the electric cordless leaf blower market is the increasing awareness about environmental sustainability. As regulations surrounding emissions and carbon footprints become more stringent, both consumers and manufacturers are pivoting towards greener alternatives. Electric cordless leaf blowers, which produce zero emissions during operation, are becoming an attractive option for environmentally conscious consumers. Additionally, the rise in urban gardening and landscaping activities, supported by local government initiatives promoting green spaces, is further propelling the market.

The advancements in battery technology also play a significant role in the market's growth. With the development of high-capacity and long-lasting lithium-ion batteries, electric cordless leaf blowers have gained enhanced operational efficiency and longer run times. These technological improvements address the common drawbacks associated with electric tools, such as limited battery life and power. As a result, the performance of electric cordless leaf blowers is now comparable to their gas-powered counterparts, making them a viable choice for both residential and commercial users.

Furthermore, the convenience and ease of use provided by electric cordless leaf blowers are significant growth drivers. Unlike corded models, cordless leaf blowers offer greater flexibility and mobility, allowing users to easily maneuver around large yards and gardens without being tethered to a power outlet. The lightweight design and ergonomic features of these tools also reduce user fatigue, making them accessible to a broader demographic, including elderly users and those with physical limitations.

In terms of regional outlook, North America currently dominates the market, accounting for the largest market share due to the high adoption rate of advanced gardening tools and the presence of key market players. The Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by increasing urbanization, rising disposable incomes, and growing environmental awareness. Europe also holds a significant share, supported by stringent environmental regulations and a strong emphasis on sustainable living practices.

Product Type Analysis

The electric cordless leaf blower market is segmented by product type into handheld and backpack leaf blowers. Handheld leaf blowers are the most popular category, primarily due to their lightweight and compact design, which makes them easy to use and store. These models are ideal for small to medium-sized gardens and residential applications. The growing trend of DIY gardening and home improvement projects has significantly boosted the demand for handheld leaf blowers. Additionally, the continuous innovation in ergonomic designs and battery efficiency further enhances their appeal to a wide range of users.

On the other hand, backpack leaf blowers are gaining traction, especially in the commercial segment. These models are designed to distribute the weight evenly across the user's back, making them suitable for prolonged use without causing significant strain. Backpack leaf blowers offer higher power and longer battery life compared to handheld models, making them ideal for large properties, parks, and commercial landscaping services. The increasing demand for professional gardening and maintenance services in urban areas is expected to drive the growth of this segment significantly.

Moreover, the segmentation by product type allows manufacturers to target different customer needs effectively. While handheld models cater to residential users looking for convenience and ease of use, backpack models address the requirements of commercial users who prioritize power and efficiency. This strategic differentiation helps in capturing a broader market and meeting diverse consumer preferences. As the market continues to evolve, we can expect further innovations and enhancements in both categories, driven by technological advancements and user feedback.</p&g

Many consumers purchase beauty products from large beauty, cosmetics and fragrance stores like Sephora and Ulta because of their broad product range, expertise and loyalty programs. The pandemic resulted in significant revenue slowdowns as consumers purchased fewer new cosmetics. Despite elevated inflation in 2022, skyrocketing sales of hair and beauty products buoyed revenue amid volatile economic conditions. Stores have benefited from premiumization trends, resulting in a growing willingness to spend on premium beauty and cosmetic products, with customers valuing the long-term benefits of using luxury products. Additionally, recent economic growth has largely benefited beauty stores. Revenue for beauty, cosmetics and fragrance stores is expected to swell at a CAGR of 2.4% to $58.0 billion through the end of 2025, including a jump of 2.0% in 2025 alone. Traditional retailers have endured high competition from various sources, including drugstores, department stores, supercenters and online retailers. Prominent competition prevents retailers from charging higher prices, as consumers can easily switch stores and brands. The expansion of e-commerce has negatively impacted retailers operating at a smaller scale, as many of them lack the capabilities and sales volume to offer online shopping, resulting in lower profit and pushing many smaller retailers out of the industry. Online shopping also allows customers to easily compare prices across retailers, intensifying competition. Beauty stores aim to combat substitutes by improving the in-store shopping experience, carrying products that appeal to new potential customers and strengthening their own e-commerce capabilities. The growing popularity of environmentally friendly and cruelty-free products will spur growth in new markets, creating opportunities for traditional retailers. Rising per capita disposable income and consumer spending will also boost cosmetics sales. However, specialty beauty stores will struggle as more consumers favor online retailers, including stores that aren't in the industry, like Amazon, Target and Walmart. E-commerce will continue to be one of the fastest-growing competitive threats to specialized stores as consumers opt for the convenience and wide selection of online products. Alongside these trends, revenue is expected to climb at a CAGR of 1.5% to $62.4 billion through the end of 2030.

Analysis of ‘Automobile Customer’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/akashdeepkuila/automobile-customer on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests and spending habits.

Companies employing customer segmentation operate under the fact that every customer is different and that their marketing efforts would be better served if they target specific, smaller groups with messages that those consumers would find relevant and lead them to buy something. Companies also hope to gain a deeper understanding of their customers' preferences and needs with the idea of discovering what each segment finds most valuable to more accurately tailor marketing materials toward that segment.

Content

An automobile company has plans to enter new markets with their existing products (P1, P2, P3, P4 and P5). After intensive market research, they’ve deduced that the behavior of new market is similar to their existing market.

In their existing market, the sales team has classified all customers into 4 segments (A, B, C, D ). Then, they performed segmented outreach and communication for different segment of customers. This strategy has work exceptionally well for them. They plan to use the same strategy on new markets and have identified 2627 new potential customers.

The dataset provides the details of the existing and potential customers of the company based on the purchase history and the corresponding segments they have been classified into.

Variable description

• CustomerID : unique customer ID
• Gender : gender of the customer
• Married : marital status of the customer
• Age : age of the customer
• Graduated : specifies whether the customer a graduate?
• Profession : profession of the customer
• WorkExperience : work experience of the customer in years
• SpendingScore : spending score of the customer
• FamilySize : number of family members of the customer (including the customer)
• Category : anonymised category for the customer
• Segmentation : (target variable) customer segment of the customer

Inspiration

The dataset is ideal for anyone looking to practice customer segmentation.

--- Original source retains full ownership of the source dataset ---

Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

This dataset provides comprehensive customer data suitable for segmentation analysis. It includes anonymized demographic, transactional, and behavioral attributes, allowing for detailed exploration of customer segments. Leveraging this dataset, marketers, data scientists, and business analysts can uncover valuable insights to optimize targeted marketing strategies and enhance customer engagement. Whether you're looking to understand customer behavior or improve campaign effectiveness, this dataset offers a rich resource for actionable insights and informed decision-making.

Key Features:

Anonymized demographic, transactional, and behavioral data. Suitable for customer segmentation analysis. Opportunities to optimize targeted marketing strategies. Valuable insights for improving campaign effectiveness. Ideal for marketers, data scientists, and business analysts.

Usage Examples:

Segmenting customers based on demographic attributes. Analyzing purchase behavior to identify high-value customer segments. Optimizing marketing campaigns for targeted engagement. Understanding customer preferences and tailoring product offerings accordingly. Evaluating the effectiveness of marketing strategies and iterating for improvement. Explore this dataset to unlock actionable insights and drive success in your marketing initiatives!

Context

The context of this business problem is new product introduction. A business organization developed a new product and promoted this to its existing customers. Initially it chose a sample of customers for promotion and the response information is available in the 'promoted' dataset. The organization is interested in building a model to select the best customers for contacting from the pool of customers not contacted ('target' dataset).

Highlight of this dataset is that the developed model can be applied to shortlist customers. In most instance, we will stop the exercise with modeling that leaves a person wondering 'what next'.

Content

Promoted dataset provide response information along with profile of customers who are contacted. Target dataset provide profile information of customers not yet contacted.

Acknowledgements

I am thankful to numerous kernels and datasets published on the Kaggle.

Inspiration

These datasets will help us to complete an Analytics cycle. ie build a model and apply the model to select customers for second round of promotion. It will be great various approaches can be applied to achieve this.

Mexico email data allows to connect b2b and b2c professionals. Revolutionize your marketing strategy with List to Data’s Mexico Email Data! Our extensive directory provides a reliable resource of verified email leads to help you connect with your target audience. This dataset is perfect for businesses looking to expand their reach and improve campaign performance. The material is regularly updated to ensure accuracy and relevance. With this library, you can streamline your outreach and focus on crafting compelling messages. List to Data is committed to delivering high-quality databases that drive results. Start using our Mexico email list today and experience the difference in your marketing success! Mexico consumer email list unlocks new growth opportunities, connecting you with affluent shoppers and increasing your revenue potential. Access the Mexican market with our premium Mexico consumer email list. This comprehensive resource provides access to a vast network of potential customers. As a result, you can increase your brand visibility and drive sales. Moreover, our data is regularly updated and verified. Therefore, you can improve your marketing ROI. Consequently, you can target specific demographics and regions. Furthermore, this valuable resource allows you to connect with key decision-makers. Finally, List to Data offers this powerful dataset to fuel your business growth in Mexico. Mexico business email list is a valuable resource for reaching professionals in Mexico. This database offers verified leads to ensure your campaigns are targeted and effective. Additionally, it is designed to save time and effort. Moreover, the directory is regularly updated for accuracy. Furthermore, it provides a seamless way to expand your market reach. As a result, you can boost engagement and drive growth. In addition, this library of contacts is ideal for B2B and B2C outreach. Finally, trust List To Data to deliver a dataset that enhances your marketing efforts and delivers measurable results.

Success.ai’s Consumer Marketing Data API empowers your marketing, analytics, and product teams with on-demand access to a vast and continuously updated dataset of consumer insights. Covering detailed demographics, behavioral patterns, and purchasing histories, this API enables you to go beyond generic outreach and craft tailored campaigns that truly resonate with your target audiences.

With AI-validated accuracy and support for precise filtering, the Consumer Marketing Data API ensures you’re always equipped with the most relevant data. Backed by our Best Price Guarantee, this solution is essential for refining your strategies, improving conversion rates, and driving sustainable growth in today’s competitive consumer landscape.

Why Choose Success.ai’s Consumer Marketing Data API?

1. Tailored Consumer Insights for Precision Targeting

   • Access verified demographic, behavioral, and purchasing data to understand what consumers truly value.
   • AI-driven validation ensures 99% accuracy, minimizing wasted spend and improving engagement outcomes.

2. Comprehensive Global Reach

   • Includes consumer profiles from diverse regions and markets, enabling you to scale campaigns and discover emerging opportunities.
   • Adapt swiftly to new markets, product launches, and shifting consumer preferences with real-time data at your fingertips.

3. Continuously Updated and Real-Time Data

   • Receive ongoing updates that reflect evolving consumer behaviors, interests, and market trends.
   • Respond quickly to seasonal changes, competitor moves, and industry disruptions, ensuring your campaigns remain timely and relevant.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing responsible and lawful data usage.

Data Highlights:

• Detailed Demographics: Age, gender, location, and income levels to refine targeting and messaging.
• Behavioral Insights: Interests, browsing patterns, and content consumption habits to anticipate consumer needs.
• Purchasing History: Understand consumer spending, brand loyalty, and product preferences to tailor promotions effectively.
• Real-Time Updates: Keep pace with evolving consumer tastes, ensuring your strategies remain forward-focused and competitive.

Key Features of the Consumer Marketing Data API:

1. Granular Targeting and Segmentation

   • Query the API to segment consumers by demographics, interests, past purchases, or engagement patterns.
   • Focus campaigns on the most receptive audiences, enhancing conversion rates and ROI.

2. Flexible and Seamless Integration

   • Easily integrate the API into CRM systems, marketing automation tools, or analytics platforms.
   • Streamline workflows and eliminate manual data imports, freeing resources for strategic initiatives.

3. Continuous Data Enrichment

   • Refresh consumer profiles with the latest data, ensuring every decision is backed by current insights.
   • Reduce data decay and maintain top-notch data hygiene to maximize long-term marketing effectiveness.

4. AI-Driven Validation

   • Rely on advanced AI validation techniques to guarantee high-quality data accuracy and reliability.
   • Increase confidence in your campaigns and decrease budget wasted on irrelevant targets.

Strategic Use Cases:

1. Highly Personalized Marketing Campaigns

   • Deliver tailored offers, recommendations, and content that align with individual consumer preferences.
   • Boost engagement and loyalty by making every touchpoint relevant and meaningful.

2. Market Expansion and Product Launches

   • Identify segments most receptive to new products or services, ensuring successful market entry.
   • Stay ahead of consumer demands, evolving your product line and marketing mix to meet changing preferences.

3. Competitive Analysis and Trend Forecasting

   • Leverage consumer insights to anticipate emerging trends and outpace competitors in capturing new markets.
   • Adjust marketing strategies proactively to capitalize on seasonal, cultural, or economic shifts.

4. Customer Retention and Loyalty Programs

   • Use historical purchase and engagement data to identify at-risk customers and implement retention strategies.
   • Cultivate brand advocates by delivering personalized offers and exclusive perks to loyal consumers.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality consumer marketing data at unmatched prices, ensuring maximum ROI for your outreach efforts.

2. Seamless Integration

   • Easily incorporate the API into existing workflows, eliminating data silos and manual data management.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy to guide data-driven decisions, refine targeting, and elevate your marketing initiatives.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific demog...

Powered by more than 50 billion 2nd party content consumption signals, along with 180byTwo’s proprietary corporate places database, and AI; eCHO is the industry's first predictive B2B Intent solution designed specifically to solve B2B marketers biggest challenges.

With eCHO, marketers are able to leverage the most comprehensive set of predictive B2B intent signals covering more than 6,000+ granular industry topics at 21M+ company locations. Whether your marketing objective is to identify the right accounts to create an accurate profile of your ideal customer, or to target key customer or prospect accounts across activation channels, eCHO is designed to help optimize your B2B and ABM programs!

Success.ai’s Ecommerce Leads Data API empowers you to reach the right ecommerce professionals and decision-makers across global markets. With direct access to over 700 million verified profiles and 15,000 intent insights, this API ensures your outreach and marketing efforts resonate with individuals who are actively engaged in the ecommerce landscape.

Whether you’re crafting ABM campaigns, refining your go-to-market strategies, or enhancing personalization, Success.ai’s continuously updated, AI-validated data provides the reliability and precision you need. Backed by our Best Price Guarantee, this solution is essential for accelerating online sales, improving conversion rates, and maintaining a competitive edge in an ever-evolving digital commerce environment.

Why Choose Success.ai’s Ecommerce Leads Data API?

1. Vast, Verified Global Profiles

   • Access a global database of 700M+ verified profiles to identify and engage ecommerce professionals and influencers.
   • AI-driven validation ensures 99% accuracy, minimizing wasted outreach and maximizing ROI.

2. 15K Intent Insights for Enhanced Precision

   • Leverage intent indicators to understand potential buyers’ behaviors, needs, and readiness to convert.
   • Deliver personalized messaging that speaks directly to your prospects’ interests and challenges.

3. Continuously Updated Datasets

   • Real-time data refreshes keep you aligned with changing market conditions, organizational structures, and consumer trends.
   • Respond swiftly to new opportunities, product launches, or seasonal shifts in online shopping habits.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful usage of ecommerce leads data.

Data Highlights:

• 700M+ Verified Global Profiles: Engage with a diverse range of ecommerce professionals, from online retailers to marketplace managers.
• 15K Intent Insights: Target prospects based on their digital behaviors, product interest, and buying signals.
• Continuously Updated Data: Stay current with emerging opportunities and evolving consumer trends.
• Best Price Guarantee: Secure maximum ROI and competitive advantage at unbeatable value.

Key Features of the Ecommerce Leads Data API:

1. On-Demand Data Enrichment

   • Instantly enhance your CRM, marketing tools, or analytics platforms with fresh, verified ecommerce leads data.
   • Reduce manual data management and ensure teams work from a single source of truth.

2. Advanced Filtering and Querying

   • Refine audiences by region, company size, job function, or industry vertical to reach the most relevant prospects.
   • Tailor your campaigns to specific ecommerce niches, product categories, or market segments.

3. Real-Time Validation and Reliability

   • Rely on AI-driven validation for exceptional data integrity and relevancy.
   • Equip sales and marketing teams to confidently execute strategies backed by accurate insights.

4. Scalable and Seamless Integration

   • Easily integrate the API into existing workflows, ensuring minimal disruption and quick time-to-value.
   • Adjust queries and filtering criteria as business objectives shift, ensuring ongoing alignment with goals.

Strategic Use Cases:

1. Targeted ABM Campaigns

   • Identify and prioritize high-value ecommerce accounts that match your ICP (Ideal Customer Profile).
   • Deliver customized offers and content that resonate with specific buyer personas, accelerating deal cycles.

2. Market Expansion and Product Launches

   • Pinpoint ecommerce companies in new regions or verticals poised for growth or receptive to emerging products.
   • Confidently introduce solutions into new markets supported by data-driven targeting.

3. Competitive Benchmarking and Analysis

   • Compare ecommerce accounts and uncover insights into competitor strategies, market penetration, and partnership potentials.
   • Refine product roadmaps and strategic initiatives based on real-time data about industry leaders and upstarts.

4. Personalization and Customer Engagement

   • Utilize intent insights and profile data to personalize communication, offers, and experiences.
   • Improve engagement, loyalty, and lifetime value by aligning messaging with customers’ interests and behaviors.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality ecommerce leads data at industry-leading prices, ensuring exceptional ROI on your marketing spend.

2. Seamless Integration

   • Incorporate the API into your CRM, marketing automation platforms, or analytics tools, streamlining workflows and eliminating silos.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven targeting, refine campaigns, and boost overall performance.

4. Customizable and Scalable Solutions

   • Tailor datasets and filtering param...