

The prevalence of data across the web and the ease with which new data can be created or accessed presents unprecedented opportunities for organizations to build data-supported marketing strategies that generate significant results
What if you could use data from new media to analyze consumer behavior and identify opportunities for growth and potential expansion? t2Marketing helps businesses better understand their consumers by analyzing the data they generate online and via other owned and paid channels.
Our recognized expertise in data and analytics incorporates a broad range of services including market research, data analysis, consumer preferences and interests, competitive intelligence, audience sentiment and evaluation of customer feedback.
Our audience identification and segmentation service is designed to use marketing data in order to help you identify prospective customers, as well as effectively segment them according to analyzed behaviors.
We use digital audience data in order to provide our clients with a better understanding of the consumers who are most likely to be interested in their products or services. We then identify communications strategies most likely to convert them from prospects to customers and brand advocates.
Customer Journey Analysis is the method of examining the customer experience through the lens of their own interactions with your brand. This task is performed by digging into the owned data of the customer journey both on and off of your owned assets in order to create a more unified and effective customer experience.
It creates an understanding of the path and channels your customers take to get to your product or service, and their experience with your brand during each step of their journey. It is a valuable tool for identifying and addressing possible gaps in the user experience and creating a more unified and effective overall brand experience.
Predictive analysis is the process of using correlative data to predict user behavior and then designing customer journey funnels that are statistically more likely to convert.
Predictive analysis helps you create a more efficient user experience by helping you understand how your users behave, what motivates them, and how they can be converted into paying customers. The results of predictive analyses can be used in many ways:
Our ongoing data analysis, measurement, and reporting services provide key insights and recommendations tailored to your business needs.
We’ll help you identify opportunities to improve your data program, including:
For a deep-dive analysis of your marketing data, please contact us.