With over 569 million public professional profiles, Coresignal’s employee and business-related social platform datasets provide high-quality raw data solutions for companies interested in building identity resolution platforms.
You can capture a 360° view of your customers, enhancing identity validation, and enriching security and fraud protection processes.
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Rich, in-depth datasets
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Coresignal's data is tailored for the following cases
Building people search platforms
Our ready-to-use employee data and business-related social platform datasets help companies such as people search sites build high-quality people search platforms and directories.
Assisting sales and marketing efforts
With over 569 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.
Enriching identity validation datasets
Coresignal’s rich people datasets help identity resolution companies enrich their existing people datasets. Get a better understanding of consumers’ interests, enriching insights surrounding consumer behavior.
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Coresignal's data helps companies achieve their goals
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Build high-quality people search platforms
Our employee data and social media data help companies build people search platforms and directories. With access to over 569 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.
Generate competitive consumer insights
Businesses and investors rely on fresh high-quality people data to help generate insights about prospective clients. Coresignal’s employee 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.
What is identity resolution?
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 employee 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 a unique, in-house, comprehensive identity solution. 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.
Types of identity resolution
Identity resolution consists of two main types: probabilistic and deterministic.
Probabilistic identity resolution is based on predictions. With this type of identity resolution, you anticipate that something is true. It is the calculation of ID matching with algorithms to understand who might be your customers. These algorithms track the anonymized identifiers of online users, such as IP addresses, devices, browsers, and locations. The probabilistic approach is a statistical model where you anticipate with some confidence that a certain user will do a certain thing.
Deterministic identity resolution involves the data that you know is true and correct. It involves the calculation of ID matching by analyzing authorized first-party or individual data such as email addresses, mobile phone numbers, user IDs, device IDs, and online transactions. It blends all the new data into current customer records by looking for matches between the existing data. It is an assured approach that uses first-party data. In other words, you are sure that a certain person did a certain thing.
In general, deterministic identity resolution is the better of the two because its foundation is the first-party data that the customers produce.
How does identity resolution work?
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 personally identifiable 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.
The importance of identity resolution
Implementing identity resolution into your business endeavors allows for a myriad of benefits.
Here are a few of them that will be discussed in greater detail: analyzing anonymous website visitors, enhanced customer experience, and improved marketing efficiency.
Analyzing anonymous website visitors
Nameless website visitors contribute to a vast majority of all website users. You do not know who they are, where they come from, and what are their expectations from your business. This lack of knowledge adds up and results in wasted opportunities.
You could leave them hanging and wait until they register to your website or indicate any sort of activity, but that course of action is inefficient and ignorant. Ignorance is bliss, but not in this case. In this case, ignorance is detrimental and it signals squandered chances.
With the use of identity resolution, you can match unknown visitor data with known visitor data. In doing so, you are able to gather deeper insights regarding customer behavior patterns and improve the chances of retention.
Imagine you are in the fitness industry and you have a couple of apps to promote your services. You have a fitness-related online store and a mobile app for daily exercising.
An unknown person downloads the app for exercising but does not hurry to register or buy a subscription.
Let us call her Iris.
She checks out a few features of the app and tries a free routine. Along the way, an ad pops up leading to your online store, offering to buy sports-related products. Hypothetically, she clicks on the ad and enters the store.
Still not registering yet.
She looks around, clicks on a few resistance bands options, then moves on to dumbbells, but does not yet buy anything.
At this point, you have anonymous data by an anonymous user looking at some of your products.
However, the next day Iris does another workout routine and decides that it would work better if she had the resistance bands. She goes back to the store, adds the item to the cart, registers herself, and makes a purchase.
Without identity resolution, you would not be able to connect the dots and figure out that the anonymous user was Iris. You would only know that she bought the resistance bands once she had registered. Without the contextual information on what Iris searched for before registering, you would not be able to tailor your marketing strategies towards her appropriately.
However, if you had access to identity resolution solutions, you would be able to connect the dots and understand that the anonymous user was Iris. As a result, you could tailor the product offerings to her according to what she was looking for before. That means no more random suggestions. If she was interested in resistance bands and dumbbells, you can adjust the marketing and keep her engaged with similar products. After a certain amount of time has passed, you can try offering stronger resistance bands, or heavier dumbbells. Or maybe even take a leap and drop a hint of a bench press package.
The subconscious mind is a powerful place. Even a ridiculous thought of buying a bench press set can manifest over time and result in profit for you, and benefit for Iris.
Identity resolution combines the two different online and offline Iris' and gathers the data into one, manageable customer profile with consistent personal data.
As a result, you understand her behavioral patterns and can properly optimize her overall experience the next time.
Enhanced customer experience
The main challenge behind this concept is the fact that customers do not use only one device. They keep switching between mobile devices (apps and browsers), laptops, desktops, iPads, and other pieces of modern technology with internet access. Ensuring the customer identity and customer journey throughout their venture between different devices is the challenge.
Identifying Iris as she visits your apps or websites with different devices is your goal to consistency and stability.
Last time, Iris stumbled upon your online store via her Android mobile device and she opened the app. This time, her phone is charging further away and she decides to use her iOS laptop instead. She logged in to her account, but this time the Android ID did not match. However, thanks to identity resolution, the new device was added to her customer profile. As a result, she can still get the tailored offers no matter the device she is using. The same goes for all other devices.
Improved marketing efficiency
Marketing and advertising is not a free activity. It costs. Both time and money. The ultimate goal for you in this spectrum is to reduce the costs as much as possible while improving effectiveness at the same time.
When you work with a chopped view of the customer, you miss out on an opportunity to see the whole individual customer. When you cannot understand that the Android and the iOS user is the same person, you fail to utilize the advertisements properly. Inefficient advertising results in wasted budget.
An identity resolution system matches and connects those profiles, eliminating possible errors.
Going back to the two apps example, you will be able to see that Iris is already enrolled in the workout program; therefore, you will not need to advertise the app to her. Instead, you can show that advertisement to another customer, who you know is not a part of the exercise routine.
Identity resolution allows redirecting the ads from an existing customer to someone who might be inclined to try.
Implementation of identity resolution
First and foremost, you must have quality data. It does not matter how much customer data you have acquired if it is not cleaned and governed properly. You need to assemble all the data into one place. You can use a customer data platform to do that. It provides you with accurate, clean, and managed data that is ready to use across multiple departments.
In search of an extensive and accurate customer profile, you need to gather a lot of disparate data from multiple sources. Identifiers are data points used to identify customers.
A few of the most common digital identifiers are emails, logins, and IPs.
A few of the most common personal identifiers could be physical addresses, phone numbers, device IDs, and more.
It's a good starting point to build the foundation, but enriching data is crucial for establishing a sophisticated identity data.
Coresignal's employee data helps to build a solid GDPR compliant foundation and fill the missing gaps. 569M professional public profiles will help you get a 360° view of the customer and make your data not only extensive but also high in quality.
You have a myriad of options when identifiers are concerned. The main goal is to utilize as many as possible in order to build a customer profile that is approaching perfection.
To wrap up
Identity resolution is an extremely valuable asset to a business. You can match anonymous customers with existing ones. It enables you to make better data-driven marketing decisions and save both time and resources. Getting a full-rounded view of the customer through digital and offline channels allows you to keep track of consumer identities and have the data stored in one, manageable customer profile.
An identity resolution solution provides you with deeper insights into consumer data and digital advertising, allowing you to track the customer journey and meet customer expectations. Exceptional customer experience and consumer trust are key to retention and the overall future success of a business.
Stay ahead of the game with fresh web data
Coresignal's data helps companies achieve their goals