Best of LinkedIn
The Stitch team shares their insights, best practices, and hot takes on all things martech and Braze.
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Read on LinkedInMigrating from Iterable to Braze
Ryan Wilkins shares insight into the process of helping a brand migrate from Iterable to Braze
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Read on LinkedInLocalization with Braze: Comparing translation integrations
Braze integrates with 5 localization platforms, and each one has its own translation process and integration nuances. Here’s a table that outlines some key differences…
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Read on LinkedInLiquid Tip: Converting a string to a number
Shan Parker shares a tactical LinkedIn article about converting a string custom attribute to a number via Liquid in Braze
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Read on LinkedInLiquid Basics
Shan Parker shares a tactical article on LinkedIn about getting started with understanding Liquid
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Read on LinkedInIntelligent Channel insights
Kaleigh Porter shares insights into how she's helping brands leverage Intelligent Channel in Braze and the results
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Read on LinkedInIncorporating ChatGPT into your Braze workflows
Ray El Khoury shares ideas for how to incorporate ChatGPT into your Braze workflows to help generate Javascript
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Read on LinkedInHow we help Braze clients after implementation
Ryan Wilkins shares insight into how we work with brands after implementing Braze to drive more value from the platform
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Read on LinkedInHow to navigate data point usage with Braze
Jake Davis shares insights into how to think about Braze data point usage
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Read on LinkedInHow to get more out of Braze
You've been on Braze for awhile, but know you could be doing more with the platform. Here's how Stitch can help.
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Read on LinkedInHow Braze will fit into your tech stack
Ryan Wilkins shares an end-to-end data flow example with Braze to show how it fits into your tech stack
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Read on LinkedInHow Braze CDI makes marketers more efficient
Bobby shares how Braze CDI makes marketers more efficient versus legacy marketing clouds
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Read on LinkedInHow Braze CDI integrates with data warehouses
Bobby Tichy shares a diagram to show how Braze Cloud Data Ingestion (CDI) works with tools like Snowflake, Databricks, RedShift, BigQuery, etc…
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