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User privacy laws and strict data privacy standards have made it challenging for advertisers and brands to collect and share consumer data in a privacy compliant manner. Data clean rooms are controlled and secure environments where customer data is processed or analyzed in a way that ensures privacy and compliance with data protection regulations. Data clean rooms offer privacy-centric computing, querying, and aggregated reporting to help unlock powerful use cases such as audience overlap analysis, attribution modeling, and campaign measurement. For businesses that choose to set up their own clean rooms, attaining and leveraging clean, complete, and compliant customer data is a challenge. Brands often lack the ability to easily build a complete view of their customers to then onboard into clean room solutions. Using Twilio Segment’s Golden Profiles alongside AWS Clean Rooms is a powerful combination to facilitate robust advertising and analytics use cases. This recipe will show you exactly how to use these tools and empower marketers and analytics teams to thrive in a privacy centric world.

Leverage Twilio Segment, LiveRamp, and Snowflake to create 'Golden Profiles,' enabling precise targeting and improved return on ad spend in a changing privacy-first, cookie-less marketing world. This guide offers a step-by-step process for unifying first-party data for richer customer insights and streamlined audience onboarding.

In this recipe, you are going to deploy a sample retail web application using automated deployment. This recipe demonstrates how Amazon Personalize AI service can be deployed and integrated with Twilio Segment to deliver real-time events from the web user interface to Amazon Personalize.

This recipe provides an advanced Public API use case to integrate Event Delivery metrics to an observability tool, with a few cool tricks along the way!

It's essential to understand your users in order to provide them with personalized and relevant experiences. By leveraging the power of ChatGPT, OpenAI's advanced language model, and Twilio Segment, a leading customer data platform (CDP), you can gain valuable insights from user-generated content and track that data to enrich user profiles. In this recipe, we'll discuss a powerful use case built using ChatGPT to analyze user feedback, and track the data in Twilio Segment. We'll also provide a code example in Python with comments to help inspire server-side implementation for your own projects.

In this recipe, we’ll show you how to utilize Twilio Segment data to gain advanced insights about your campaign performance and optimize accordingly. You’ll see how you can leverage this enriched data for all the solutions available through the DCR: Holistic Data Access, Dynamic Query, and Audience activation.

Leverage Twilio Segment, LiveRamp, and Snowflake to create 'Golden Profiles,' enabling precise targeting and improved return on ad spend in a changing privacy-first, cookie-less marketing world. This guide offers a step-by-step process for unifying first-party data for richer customer insights and streamlined audience onboarding.

This partnership between Twilio Segment and LiveRamp allows marketers to seamlessly integrate their customer data and activate audiences across the connected digital advertising ecosystem. By unifying customer data, and leveraging LiveRamp’s pseudonymized identifier, RampID, marketers can uncover deeper insights, enhance personalization strategies, and activate across their advertising and marketing channels often seeing up to a 79% Match Rate Across Publishers and a 30% Reduction in Cost-Per-Acquisition (CPA) compared to HEMs alone.

In this Recipe, we’ll show you how to use a Protocols Tracking Plan to ensure that all event data is clean and consistent, and how to block unplanned events or schema violations and forward them to a Slack Channel. These events are processed in real-time, so your data engineering teams can be proactive about identifying and resolving event tracking inconsistencies.

This recipe outlines the process of connecting Twilio Segment with HubSpot and Lucky Orange to help you transform visitor data into informed decisions. You’ll learn how this trio of tools provides new insights into the behavior and interactions of target audiences to optimize your sales and marketing strategies.

In this recipe, you’ll learn how to save time complying with user deletion and suppression requests by using Twilio Segment’s deletion features.

In this recipe, we’ll look at how to deliver a personalized e-commerce site experience with Twilio Engage (formerly Twilio Segment Personas) & Algolia (a tool that allows you to deliver extremely fast and intelligent search). We will be focusing on the beginner level of personalization, specifically personalizing the site search experience based on users’ behaviour.

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.

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.