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Are you tired of slow and impersonal customer experiences? Our recipe has the solution, showing you how to seamlessly connect customer data from Twilio Segment with Uniform’s integration mesh. Our technique allows you to create visually stunning and high-performing customer experiences across all platforms in under 200ms. Don't let slow load times and generic experiences negatively impact your business - try our recipe today and see the difference for yourself.

Traditional product analytics tools tend to trap your data in siloed systems. If you want product insights from other data sources or your own data model, they require complex ETL integrations which are not only expensive to build and maintain, but also take the data control away from you. Kubit is the first warehouse-native product analytics platform which takes a no-code approach to eliminate data silos and provide self-service product insights directly from your cloud data warehouse.

In this recipe, you’ll learn why milestone and recap emails are important to drive product adoption, what makes them effective, and how product activity data from Twilio Segment can help personalize and add context to these emails.

In this recipe, you’ll set up reverse ETL to automatically pull in conversion events that originated from a Google Ad that are locked away in a Snowflake table or view. You’ll learn how to use Twilio Segment Reverse ETL to gain a more accurate return on ad spend without having to manually upload files to Google. This will allow you to capture the extended conversion value* (see a further description of this concept below) when a customer leaves your app or site to complete a conversion.

In this recipe, you’ll learn how to use Twilio Segment and Airship together to improve the post purchase experience. You’ll be able to personalize interactions and provide valuable product recommendations that drive repeat value.

The nature of iterative development cycles is that you find yourself at some point with multiple systems that need to be integrated. Maybe you built your customer database in Snowflake and your frontend applications are integrated with it, but now that your organization has grown, you’re investing in a CRM like Salesforce. You could eliminate the database and try to sync everything directly to Salesforce, but that’s probably a huge lift. You can’t just leave the systems separate, because having two sources of truth is not a good idea; you’ll introduce endless bugs and mismatches that affect your organization’s reputation and effectiveness. If your data warehouse could sync with your Salesforce, though… you’d be able to run both without the worry about divergent databases! In this recipe we’ll explore how to set up this synchronization so that your systems don’t diverge, and you don’t have extra work to keep them that way.