CallRail provides businesses with tracking phone numbers that they can use to gather valuable customer interaction data from phone calls. This includes the source of the call - an advertisement on social media, for example - as well as information about the callers themselves. Additionally, once a call is completed, CallRail automatically generates a transcript of the call. By gathering this data, CallRail allows businesses to score their leads more easily and gauge the effectiveness of different marketing campaigns.
According to the platform's marketing literature, GoodData's powers '50% of Fortune 500 companies, over 80,000 businesses, and millions of concurrent users.' With its motto, 'analytics for everyone,' the solution offers an easy-to-use, drag-and-drop analytics interface so anyone across your organization — regardless of their tech knowledge — can set up dashboards and explore business insights to collaborate with team members and make better decisions. The platform also includes out-of-the-box and customizable machine learning algorithms for advanced forecasting and analytics. Moreover, because GoodData can process large, complex, and siloed datasets, this BI solution can scale to handle virtually any size demand.
Bring all your CallRail data to Amazon Redshift
Load your CallRail data to Google BigQuery
ETL all your CallRail data to Snowflake
Move your CallRail data to MySQL
Bring all your GoodData data to Amazon Redshift
Load your GoodData data to Google BigQuery
ETL all your GoodData data to Snowflake
Move your GoodData data to MySQL
Create separate companies with different configurations and tracking numbers. Then, you can retrieve information like the company’s name, creation date, lead scoring settings and company ID. This will allow you to track each different parameter in your analytics.
Track any users who have access to your call data at various permission levels. This field provides you with contact information about the user - including their name, email, user ID, role and company - so that you can integrate your user and company data for analysis.
Retrieve an account’s name and ID and choose whether or not to enable outbound call recording. Since this is the top level object for CallRail, you can also use that account ID to integrate data - such as “Company” or “Tracker” - that is generated by any lower level object within that account.
Retrieve data from other data sources by integrating CallRail data with third party tools. The data in this field includes the name of the third party tool being integrated, the type of integration, its status, the unique integration ID, and associated companies. CallRail can use all of this data to provide more robust marketing analytics.
Gather call data from tracking numbers that can either be linked to a specific source or associated with a particular visitor. This field can retrieve a variety of data from those calls, including the tracker ID, tracking numbers and associated companies. This information can help you qualify leads and gauge the effectiveness of marketing campaigns.
Retrieve data on an individual call, including the duration, source, phone number and status i.e., whether it was answered, missed, etc. Additionally, you can retrieve contact information for the caller, including their name, phone number, and whether or not CallRail rates the call as having provided a good lead.
GoodData features dashboards that you can easily embed into your desktop or mobile applications, so your business insights and visualizations are accessible wherever you need them to be. The platform includes customizable, interactive visualizations and drag-and-drop analytics and discovery tools. It also features easy-to-set-up machine-learning algorithms for forecasting and better decision-making.
GoodData allows you to tailor each of your customer's experiences with personalized, embedded analytics and data models. By putting more power into your customers' hands, the platform lets your more tech-savvy users design and publish their own reports, dashboards, and visual presentations. Moreover, after developing new analytical features, you can distribute updates seamlessly across tens of thousands of users at once, or you can centrally manage distribution and customize the updates and features that different product audiences receive.
GoodData's fault-tolerant data pipeline enables high-speed ingestion of terabytes of information for tens of thousands of users. The platform also helps you respond to issues through constant monitoring and alerts that integrate with your incident response systems. GoodData's pre-built modules for data ingestion, transformation, and distribution offer time-saving advantages. Set up your data transformations in SQL and JDBC, and modify GoodData's pre-built modules with Python, Ruby, and Java SDKs.
GoodData is an enterprise-level solution that offers reliable, real-time processing and insights at scale — no matter how many clients — with a capacity to handle virtually any size dataset.
GoodData offers the latest in data security technologies and risk management features so any size company can meet its industry's compliance and information security requirements. GoodData's Security Shield system is the platform's basic-level security offering, which adheres to standard best practices for cloud-based data protection, including ISO 27001:2013 compliance, GDPR compliance, and SOC2 Type II. Meanwhile, Enterprise Shield Security is GoodData's higher-level security offering, which offers protection for enterprises handling extra-sensitive and/or strictly-regulated information.