With over 400 million public professional profiles, Coresignal’s resume and business-related social platform datasets provide high-quality raw data solutions for companies interested in building identity resolution platforms, capturing a 360° view of their customers, enhancing identity validation, and enriching security and fraud protection processes.
Our ready-to-use public resume data and business-related social platform datasets help companies such as people search sites build high-quality people search platforms and directories.
With over 400 million public professional profiles, you can enhance your existing customer records with up-to-date information, such as name, job title, interests, connections, location, and more.
Coresignal’s rich people datasets help identity resolution companies enrich their existing people datasets. Our public resume data helps companies get a better understanding of consumers’ interests, as a result, enriching insights surrounding consumer behavior.
Our public resume data and social media data help companies build people search platforms and directories. With access to over 400 million professional profiles, our ready-to-use data is a great fit for companies looking to enrich their people datasets, boost the quality of their identity graphs, and provide up-to-date consumer insights.
Businesses and investors rely on fresh high-quality people data to help generate insights about prospective clients. Coresignal’s public resume data and social media data offer data points such as name, industry, location, and interests. With these data points, companies are able to get a better understanding of their customers and create consistent and effective marketing and sales strategies.
Identity resolution is a common business use case that involves collecting, matching, and validating people data to create high-quality customer profiles. These customer profiles, also known as identity graphs, provide companies with consumer insights to enhance account-based marketing strategies.
Identity resolution involves three steps: onboarding people data, generating an identity graph, and implementing identity resolution procedures. More specifically, it is common for companies to outsource this process to people search sites and identity resolution software that specializes in providing streamlined identity resolution services.
On a more technical level, people search sites are able to leverage people data, such as Coresignal’s public resume data and business-related social platforms, to help build their identity resolution platform. People search sites are able to onboard external third-party people data, train algorithms to generate identity graphs for end-users, and sometimes offer solutions or services from insights discovered by the identity graph.
Additionally, some companies are able to create unique in-house identity resolution solutions. For example, some businesses and investors might leverage people data to enrich their existing customer and prospective client databases or to enhance fraud detection processes. To better understand these processes, let’s take a look at the types and processes of identity resolution.
Identity resolution consists of two main types: probabilistic and deterministic. Probabilistic identity resolution involves the calculation of ID matching with algorithms. These algorithms track the anonymized identifiers of online users, such as IP addresses, devices, browsers, and locations. On the other hand, deterministic identity resolution involves the calculation of ID matching by analyzing authorized first-party or individual data such as email addresses, phone numbers, and online transactions.
As previously mentioned, identity resolution involves three steps: onboarding people data, generating identity graphs, and implementing identity resolution processes and strategies. Essentially, these steps work together with other technologies to craft in-depth and unique customer profiles that monitor the interests and general public web behavior of prospective, current, and previous customers. Let’s take a closer look at the three steps involved in identity resolution.
Data onboarding involves the uploading or collection of customer data from internal and external online databases for sorting, validation, matching, and further processing. Customer data points are collected from social media platforms, public online business interactions, web browsing data, and more.
After the customer data has been collected and processed, customer identifiers that can be associated with individual customers construct a detailed customer profile from business interactions across different channels. Identity graphs typically contain information that indicates online behavior, personal interests, buying patterns, and general information about a particular customer.
Lastly, implementing resolution strategies can include the integration of various levels of marketing tools and technologies. Because identity resolution involves various sub-use-cases, implementation ranges from developing personalized marketing campaigns to monitoring online channels for fraud detection.