In our latest release, we've significantly enhanced our marketing analytics capabilities to empower customers with comprehensive insights. By expanding data integration sources, we offer a more thorough understanding of campaign performance. Notably, we've introduced the option to link external Facebook Ad accounts, allowing for detailed reporting on key metrics such as clicks and links, which provides a powerful tool for assessing the effectiveness of Facebook Ads. Moreover, we've integrated Predictive Touches into the Marketing Report,…

To help our customers better understand how their marketing performs, we’ve added the ability to show data from external sources in our application. This will improve our customers’ ability to get a more complete picture of the impact of all their marketing activities. Surveys provide customers with important insights into their patients’ treatment experiences. They can leverage these insights to refine both the care they provide and messaging for their marketing campaigns. The SocialClimb survey…

We’ve incorporated the ability to display data from external sources within our application, enabling our customers to gain a more comprehensive view of their marketing activities. This empowers them to assess the performance of their marketing efforts more effectively, helping further inform their decisions on resource allocation and marketing strategy. We've also enhanced integrations, message configuration, predictive analytics, reporting, and account management to ensure our application seamlessly integrates with customer data, manages messaging efficiently, and…

We’ve enhanced Google Business Profile (GBP) management to help our customers maximize their online presence. Several improvements have been made in this area, including better handling of services on GBPs. Support has also been added for Google Suggested Edits on these services, making it easier for users to approve suggested edits and ensure that the services on their GBPs accurately reflect the type of care they provide. Another quarterly update has taken place with our…

Predictive patient targeting models allow our customers to get in front of the right people at the right time with greater accuracy. We’ve made enhancements to the way we iterate and create these models in order to help them function more effectively. These enhancements reduce the time it takes to create the models and produces better results overall. A new integration for Dr. Chrono has been added, along with options to send review invitations more…

With this release, we’ve made updates to tracking organic traffic. This change makes it so that when tracking conversion sources other than calls, such as online appointment scheduling, we can assign a traffic source to any of those conversions. This adds to the value that we provide by enabling us to report on more conversions, and at what rate those conversions turn into appointments and patients. We’ve added support for Google Recommended Changes as they…

Understanding how well marketing campaigns and tactics drive people to become patients is one of the biggest ways our platform can add value to our customers and we’ve made some updates with this release to improve our ability to show that value. We’ve added the ability for customers to include campaign tracking on external links, such as those used for online scheduling. By doing this, we’re enabling the tracking of additional types of touches other…

The latest release of our platform introduces transformative features that significantly enhance the value delivered to healthcare organizations seeking to optimize their marketing strategies. A key highlight is the implementation of advanced Conversion Tracking capabilities. By providing a comprehensive view of marketing campaign performance, users can now assess the effectiveness of their tactics with a focus on estimated revenue and Return on Ad Spend (ROAS). This enables informed decision-making at various levels, from account-wide estimates…

Our application is designed to empower customers in reaching potential patients, and Predictive Patient Targeting stands as a cornerstone in achieving this goal. To ensure our predictive models are robust and aligned with the latest consumer data, we perform quarterly updates. This release marks one such update to keep our models as current as possible. By staying ahead with regular updates, our customers can effectively engage with individuals who are most likely in need of…

In this release, we've incorporated Attribution Modeling into reports using call tracking, allowing customers to analyze touchpoints and marketing channels' conversion contributions. Three attribution models—Last-Touch, First-Touch, and Linear—provide diverse perspectives for evaluating efficiency and guiding marketing budget allocation. Last-Touch Attribution attributes conversions to the last action that took place before an appointment, emphasizing customer conversion methods. First-Touch Attribution, on the other hand, credits the first action, highlighting brand discovery. Linear Attribution evenly distributes conversions across…