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Until now, there were no no-code tools to bring customer e-commerce data into one place. In this recipe, we will leverage the new Alloy Flow source to send e-commerce events from popular selling platforms to Twilio Segment, then on to Segment destinations, all without code.

Welcome Series are an effective way to engage and activate new subscribers — especially when you have actions you want them to take following their initial conversion (like asking for more information). With step-by-step instructions and best practices outlined in this recipe, you'll be able to create a winning Welcome Series that drives action. A Welcome Series should help introduce your brand to your customers at the minimum, but can also be used to drive them to take action such as completing their profile or downloading your app. After completing this recipe, you should have created a Welcome Series that activates your new subscribers, establishes a strong relationship with them, and hopefully, drives business growth. So let's get started and make your Welcome Series a success!

Every marketing & product team’s understanding of what a testing program will provide is unique. It could be used to innovate & validate ideas before over-investing, to focus on fast A/B testing & conversion rate optimization wins, or deploy a test-first reporting organization. This recipe provides direction on how to employ a marketing tech stack that enables a data-driven validation approach to grow the business and mitigate risk. Whatever your intentions, expectations, or goals are for an A/B testing program, building with the Twilio Segment / Mixpanel / AB Tasty stack will empower the following insights loop and prioritize customer-centric data efforts:

This recipe will show you how to connect customer data from Twilio Segment with Conscia.ai's orchestration capabilities to create personalized customer experiences across various channels.

Use Twilio Segment and Twilio Flex to intelligently route inbound support requests to a chatbot or a real support agent based on historical user behavior and user attributes.

This guide will teach you how to find a group of users that dropped off in your onboarding funnel and send this group of users (called a "Cohort" in Mixpanel) into Twilio Segment Engage, so you can send them a personalized engagement experience that convinces them to finish the onboarding.

This recipe will walk you through using the data collected from Twilio Segment as the basis for experimentation using a tool like Statsig. We’ll walk through how to measure a purchase conversion funnel, design an experiment to maximize a success metric (purchase event), and glean insights based on user actions to optimize experiences going forward.

A patient’s path to obtaining healthcare services is more complex than ever, often involving a variety of online channels, including app and website interactions and offline channels, such as hospital, claims, and a data warehouse. You can stitch the data from these sources together using Twilio Segment, and build a unified patient profile that your patient care teams can use to drive positive health outcomes. In this recipe, we’ll show you how Twilio Segment can help you take your offline and online data from Twilio Segment and Twilio and join it all together to get a 360-degree picture of the patient journey. We’ll use the example of a patient who engages with your website to locate a family medicine doctor in their area (online) and then book an appointment over the phone (via Twilio).

You’ll build an order-ahead iOS app that simulates a user in the real world ordering food and traveling to a restaurant to pick up their order. The app will track the user’s various trip states and send a final SMS to notify the user’s order is ready. The app will use Radar to power the trip-tracking experience, send Radar events to Twilio Segment, and finally pipe the events to Twilio for SMS notifications.

In this recipe, you'll learn how to automatically identify and segment your website traffic, and then send that data to a heatmap tool to better understand their on-site behavior.

With this recipe, you’ll learn how to close the gaps in understanding your customer journey through a symbiotic relationship between data, strategy, and execution.

In this recipe, you’ll learn how to use Twilio Engage (formerly Twilio Segment Personas) to create hyper-specific audiences in advertising platforms like Facebook, Snapchat, and Pinterest to increase advertising efficiency.

In this recipe, you learn how to use Twilio Segment and AWS Redshift ML together to generate predictive analytics without writing any code, spinning up any data pipelines, or requiring significant ML experience.

This recipe demonstrates how to announce new features from within your product: how do you target the right users, at the right time and in the right place? Learn how to influence your users to adopt new features with Twilio Segment and Chameleon.

Creating a highly personalized experience for shoppers is fundamental to optimizing conversion rates. Using Elastic Path’s CX Studio Personalization workflow for Twilio Segment, building a bespoke experience unique to each of your customers has never been easier. Simply connect Twilio Segment to your Elastic Path CX Studio site to begin tracking user behavior and linking their Twilio Segment profile data to their CX Studio session. Then, with a few clicks, add a personalized experience to pages - no code required!