Signal Customer Identity Solution Review

Build Strategic Data Asset By Collecting Customer Data From Various Sources

Data collection is among the powerful features offered by Signal Customer Identity Solution. In order for users to understand their customers and create individualized or personalized media campaigns, they must first build a data asset which they can use for making the right decisions and forming better marketing strategies.

To do this, the platform enables them to gather customer data from multiple sources across their enterprise or organization, encompassing online and offline data sources like CRM files, tags, APIs, and SDKs. Signal Customer Identity Solution aggregates customer data from various sources in one convenient place. In addition, the platform can collect and process data very fast, ensuring users that their strategic data asset is consistently evolving and being updated.

Unify Disconnected Customer Data And Profiles In Identity Graphs

Signal Customer Identity Solution has a critical component that allows users to create tightly connected profiles of customers so they can understand them better including their attributes. As the platform aggregates customer data from multiple sources, it enables them to generate identity graphs from the collected data. Through the aid of unique identifiers, they will be able to connect previously disconnected or disjointed customer profiles, data, and attributes together and come up with identity graphs that provide them with a pure, deterministic, and holistic view of each customer.

Continuously Recognize Customers And Move With Them Across All Channels And Touchpoints

To better understand the significance of such identity graphs, let us examine customer journey itself. As users interact with a particular brand, they are using various devices and channels. Thus, they can quickly move from one device to another as well as from one channel to another. Because this happens so fast, it is usually difficult for users to recognize their customers. In other words, as customers move between devices, channels, and touchpoints; users are dealing with a lot of customer profiles that are disconnected from each other.

Therefore, an identity graph functions as a mapping tool. This means this tool allows users to easily link customer data with customer IDs regardless of the channel being used. It permits them to continuously identify and recognize customers across all touchpoints and channels, moving along with them freely between touchpoints and channels.

Set Up Persistent And Always-Active Customer Profiles

The type of customer profiles that users can build using identity graphs are always active and persistent which means as the preferences, tastes, and activities of customers evolve, their customer profiles unified within the platform are also immediately updated accordingly.

Launch Personalized Media Campaigns

Once users are able to build identity graphs to connect disjointed customer profiles and completely recognize and understand each customer, they can then leverage their customer data and profiles to plan and launch personalized media campaigns that are targeted to specific customers.

Gain Full Control Of Your Customer Data And Profiles

In Signal Customer Identity Solution, customer data and profiles can be integrated with one’s existing analytics tools, media partners, and even external data sources. Because of this, users will be able to perform closed-loop attribution, focusing on the things that matter most to them; and at the same time, extend the coverage of their identity graphs, giving them complete control of their strategic data asset.