The awareness among worldwide consumers about companies selling their personal data to third parties has grown in recent years. As of July 2022, three in four consumers in selected countries worldwide said they knew that companies sell personal information. In comparison, in 2020, this share was a little over 60 percent.

Although a majority of internet users aged between 18 and 75 years in the United Kingdom (UK) are still skeptical when it comes to personal data being collected by companies, a small share (36 percent) would be willing to share this data in return for financial compensation. These types of data mainly included purchase history and location data, while a slightly smaller percentage stated they were willing to sell their browsing history and online media consumption to companies.

How to sell to retail : the secrets of getting your product to market is a book. It was written by Clare Rayner and published by KoganPage in 2013.

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The Database, sourced through multiple sources and validated using proprietary methods on an ongoing basis, is highly customizable. It contains parameters such as employee size, job title, domain, industry, Technography, Ad spends, Funding data, and more, which can be tailored to create segments that perfectly align with your targeting needs. That is exactly why our Database is perfect for licensing!

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

For decades, Acxiom has been providing insight that enables clients to better manage audiences, personalize customer experience across channels and create more profitable customer relationships.
Companies can access these insights for effective market analysis, segmentation and modelling, to make better marketing decisions and ultimately increase revenue faster with more efficient marketing.

Acxiom uses multiple data sources to overcome single source weaknesses and deliver extensive coverage of households and marketable adults. It includes a wide variety of demographics, lifestyle characteristics and behavioral information, which is available to add insight to the market and increase understanding of existing and prospective consumers.

Fields include: • Individual Demographics – age, gender, life-stage • Household Characteristics – household size, number and ages of children • Life Events – marital status, birth of children, moving home • Financial – income ranges, economic stability, affordability and expenditure • Interests – reading, gardening, food, arts, family, pets • Behaviors – charitable causes, products bought, method of payment • Travel and leisure - holidays, sport, entertainment • Employment – education, occupation, employment status • Automotive – car ownership, insurance • Media – technology, channel use, press readership • Personicx Segmentation

Anonymized sample records for geographical areas or random samples. Data can be provided in the form of enhancement, a given geography or defined sample, as per clients’ requirements.

Use cases & Benefits: Know your customer - understanding the characteristics, lifestyles and drivers of your customers and prospects is essential for any customer engagement. Uses include: • Improve success of marketing strategies • Customer insight drives decisions, predictive modelling • Segmentation • Retention strategies • New customer acquisition • Cross-sell, up-selling strategies • Channel management • Contact strategy • Customer relationship management • Lifetime value and behavior modelling

With 832,000 Businesses in Malaysia , Techsalerator has access to the highest B2B count of Data in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

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Charles S. Sell is an author. They have 4 books in our database.

With 501,000 Businesses in the United Arab Emirates, Techsalerator has access to the highest B2B count of Data in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

Bursa Malaysia: MT: Value: Sell: Local PDT data was reported at 1,604.539 MYR mn in Nov 2018. This records a decrease from the previous number of 2,440.687 MYR mn for Oct 2018. Bursa Malaysia: MT: Value: Sell: Local PDT data is updated monthly, averaging 1,514.890 MYR mn from Oct 2009 (Median) to Nov 2018, with 110 observations. The data reached an all-time high of 3,848.390 MYR mn in Jan 2018 and a record low of 559.940 MYR mn in Dec 2012. Bursa Malaysia: MT: Value: Sell: Local PDT data remains active status in CEIC and is reported by Bursa Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Z006: Bursa Malaysia: Market Transaction: by Type of Investors: Value.

The Organic INTEGRITY Database is a certified organic operations database that contains up-to-date and accurate information about operations that may and may not sell as organic, deterring fraud, increases supply chain transparency for buyers and sellers, and promotes market visibility for organic operations. Only certified operations can sell, label, or represent products as organic, unless exempt or excluded from certification. The INTEGRITY database improves access to certified organic operation information by giving industry and public users an easier way to search for data with greater precision than the formerly posted Annual Lists of Certified Operations. You can find a certified organic farm or business, or search for an operation with specific characteristics such as:

The status of an operation: Certified, Surrendered, Revoked, or Suspended The scopes for which an operation is certified: Crops, Livestock, Wild Crops, or Handling

The organic commodities and services that operations offer. A new, more structured classification system (sample provided) will help you find more of what you’re looking for and details about the flexible taxonomy can be found in the INTEGRITY Categories and Items list. Resources in this dataset:Resource Title: Organic INTEGRITY Database. File Name: Web Page, url: https://organic.ams.usda.gov/integrity/Default.aspx Find a specific certified organic farm or business, or search for an operation with specific characteristics. Listings come from USDA-Accredited Certifying Agents. Historical Annual Lists of Certified Organic Operations and monthly snapshots of the full data set are available for download on the Data History page. Only certified operations can sell, label or represent products as organic, unless exempt or excluded from certification.

Business Listings Database is the source of point-of-interest data and can provide you with all the information you need to analyze how specific places are used, what kinds of audiences they attract, and how their visitor profile changes over time.

The full fields description may be found on this page: https://docs.dataforseo.com/v3/databases/business_listings/?bash

A 2021 poll conducted among privacy experts worldwide showed that 71 percent of companies collected personal data of subjects living in the EU, while 59 percent of firms did the same for individuals living in Canada. A further 43 percent of survey respondents stated that their companies collected personal data from identifiable subjects in the United Kingdom.

Bursa Malaysia: MT: Volume: Sell: Foreign Institutional data was reported at 7,770.285 Share mn in Nov 2018. This records a decrease from the previous number of 7,857.827 Share mn for Oct 2018. Bursa Malaysia: MT: Volume: Sell: Foreign Institutional data is updated monthly, averaging 2,946.605 Share mn from Oct 2009 (Median) to Nov 2018, with 110 observations. The data reached an all-time high of 9,798.472 Share mn in May 2018 and a record low of 1,251.920 Share mn in Feb 2010. Bursa Malaysia: MT: Volume: Sell: Foreign Institutional data remains active status in CEIC and is reported by Bursa Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Z007: Bursa Malaysia: Market Transaction: by Type of Investors: Volume.

Will you take vehicle insurance?

An insurance policy is an arrangement by which a company undertakes to provide a guarantee of compensation for specified loss, damage, illness, or death in return for the payment of a specified premium. A premium is a sum of money that the customer needs to pay regularly to an insurance company for this guarantee.

For example, you may pay a premium of Rs. 5000 each year for a health insurance cover of Rs. 200,000/- so that if, God forbid, you fall ill and need to be hospitalised in that year, the insurance provider company will bear the cost of hospitalisation etc. for upto Rs. 200,000. Now if you are wondering how can company bear such high hospitalisation cost when it charges a premium of only Rs. 5000/-, that is where the concept of probabilities comes in picture. For example, like you, there may be 100 customers who would be paying a premium of Rs. 5000 every year, but only a few of them (say 2-3) would get hospitalised that year and not everyone. This way everyone shares the risk of everyone else.

Just like medical insurance, there is vehicle insurance where every year customer needs to pay a premium of a certain amount to its insurance provider company so that in case of an unfortunate accident by the vehicle, the insurance provider company will provide compensation (called ‘sum assured’) to the customer.

Building a model to predict whether a customer would be interested in Vehicle Insurance is extremely helpful for the company because it can then accordingly plan its communication strategy to reach out to those customers and optimise its business model and revenue.

Now, in order to predict, whether the customer would be interested in Vehicle insurance, you have information about demographics (gender, age, region code type), Vehicles (Vehicle Age, Damage), Policy (Premium, sourcing channel) etc.

Content

id: Unique ID for the customer Gender: Gender of the customer Age :: Age of the customer driving license: 0 :: Customer does not have DL, 1 : Customer already has DL RegionCode: Unique code for the region of the customer PreviouslyInsured 1 : Customer already has Vehicle Insurance, 0 : Customer doesn't have Vehicle Insurance VehicleAge: Age of the Vehicle VehicleDamage: 1 : Customer got his/her vehicle damaged in the past, 0 : Customer: Customer didn't get his/her vehicle damaged in the past. AnnualPremium: The amount customer needs to pay as premium in the year PolicySalesChannel: Anonymised Code for the channel of outreaching to the customer ie. Different Agents, Over Mail, Over Phone, In Person, etc. Vintage: Number of Days, Customer has been associated with the company Response: 1: Customer is interested, 0 : Customer is not interested

Acknowledgements

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Original DatabSource Analytics Vidhya: https://datahack.analyticsvidhya.com/contest/janatahack-cross-sell-prediction/#About

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Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Feb 2025 about median and USA.

Bursa Malaysia: MT: Volume: Sell: Local Institutional data was reported at 8,511.713 Share mn in Nov 2018. This records a decrease from the previous number of 11,684.343 Share mn for Oct 2018. Bursa Malaysia: MT: Volume: Sell: Local Institutional data is updated monthly, averaging 5,973.495 Share mn from Oct 2009 (Median) to Nov 2018, with 110 observations. The data reached an all-time high of 28,351.840 Share mn in Jan 2018 and a record low of 1,745.740 Share mn in Dec 2009. Bursa Malaysia: MT: Volume: Sell: Local Institutional data remains active status in CEIC and is reported by Bursa Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Z007: Bursa Malaysia: Market Transaction: by Type of Investors: Volume.