Optimize your customer success processes by providing teams with constantly synced data
Operate a high-touch customer support model with up to date knowledge of user actions
Sync high quality, modeled data from your warehouse to enrich user attributes
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Customer success use cases
Customer retention is a crucial aspect of building a successful business. It involves keeping customers engaged and loyal to your brand over time. One effective method for achieving this is to gain a deep understanding of your customers' product adoption, engagement, and usage, and to ensure that your customer success teams have access to this data. With up-to-date information at their disposal, your team can increase engagement, customer satisfaction, and ultimately foster long-term loyalty.
Analytics use cases
Ideally, your data warehouse should serve as the true source of data that contains all of your customer data. When this is the case, using your warehouse as the source for your analytics platforms enables richer product-usage analysis. You can sync enriched data from your warehouse to create more granular segments as well as bring in data from your engagement tools. Additionally, you can ensure that your product and growth teams work with data that is always up-to-date and in the expected format.
Product experience use cases
With this integration, you can power your product experience platform with the most up-to-date user data directly from your data warehouse. By syncing enriched data from your warehouse, you can augment properties on users and fully utilize your platform’s features. This ensures that your team has the most accurate and relevant data at their fingertips, allowing them to make data-driven decisions that drive product growth and retention.
Surveys use cases
This integration allows you to provide your users with highly-personalized survey experiences using rich segmentation data directly from your warehouse. With this integration, you can easily create and distribute surveys that are tailored to the specific needs and preferences of your users, while also gaining valuable insights into their behaviors and preferences.