Top Blueshift Alternatives

Marketing in the digital world is easy to learn, yet hard to master. With thousands of new technologies arriving every day, companies are always on their toes to find new opportunities to promote their services. Blueshift is a marketing platform that simplifies the life of a company’s marketing department by offering several powerful functionalities in one easily accessible package. It lists audience segmentation, dynamic personalization, and predictive analytics amongst its primary uses, among several others.

Targeted segmentation

The first primary capability of the Blueshift platform is that of audience segmentation and targeting. As any modern marketing department can understand, the only efficient way to manage crowds of customers today is by dividing them into groups based on several common factors and then targeting them with marketing content accordingly. With Blueshift, marketing based on segmentations becomes excessively easier due to a simple interface. To segment audiences, the user needs to select the segmentation attribute, and groups are formed automatically. Advanced attributes like predicted ones can also be used here. Then, the company selects the content to promote.

Multiple ways to approach customers

Another area of extensive expertise for the platform lies in the marketing channels. The targeted individuals are certainly having a host of different methods which can be used to communicate with them. If the company is equipped with all the required marketing technologies, they can integrate them easily with the Blueshift platform and activate a multi-channel approach to every one of their marketing problem. The list of supported channels is extensive, and users can create sophisticated custom methods of interaction with or without the knowledge of coding, either by tinkering with the HTML campaign page or by simple drag-and-drop building.

Intelligent prediction for sales boost

Blueshift enables companies to make personalized content by providing them predictions based on audience data. With an intuitive predictive analytics system, each campaign can be made relevant to the customer. The predictive systems include segmentation scores for better targeting, engagement efficiency identification to identify fruitful and fruitless customer interactions over specific channels, customer active time prediction for determination of the best engagement time, and affinity detections for relevant content.