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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.

Implementing a high quality eCommerce tracking plan typically takes developer time to set up and maintain. Elastic Path with CX Studio automates your server-side and client-side eCommerce event collection to provide teams with instant on end-to-end tracking for web and eCommerce events.

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.

Webflow is a low-code website builder that helps web designers and developers build sites fast and at scale. It’s different from more traditional web Content Management Systems (CMS), in that it is SaaS based and takes care of all hosting, code assembly, code deployment, domain management, content delivery networks (CDN), and other processes behind the scenes.

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 the competitive landscape of the FinTech industry, understanding customer behavior and predicting their readiness to purchase additional products can significantly impact business success. By harnessing the power of advanced analytics and AI, financial institutions can identify the optimal moment to engage customers with an offer of relevant products or services. Twilio Engage, a powerful component of the Twilio Segment platform, enables businesses to leverage AI-driven predictive traits derived from past customer behavior to pinpoint those most likely to be ready for a new financial product.

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.

For an insurance company, safeguarding their business from customer fraud is of paramount importance. Undetected fraud can be financially devastating. As insurance companies recognize the need to proactively identify and mitigate potential fraud risks, they’re turning to artificial intelligence (AI) for a competitive edge.

It's easy to use Twilio Segment to track your customer's online purchases, as a visitor to your website. But online is not the only place that customers can shop and interact with your brand. It's very likely that customers shopping online will also make a purchase in your store. In this recipe, we'll make sure that the online purchases and the in-store purchases are both attributable to the same customer. This matching will create a seamless brand experience for your customers and allows you to further personalize marketing content for your customers.

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, you'll learn how to use location data to understand where your customers are when they engage with you.

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.

Acquiring customers is a highly competitive and expensive process, but successful ecommerce sites know that there is another source of revenue: your current and previous customers. Increasing customer retention by as little as 5% can raise top-line revenue over 25%, so driving lifetime value for current customers is a top priority for direct-to-consumer (DTC) brands on Shopify.

Enhance the user properties within Twilio Segment and Engage by utilizing Attribution data for more effective user segmentation and targeted marketing campaigns. In the initial integration, Attribution leverages Twilio Segment's snippets to track events, page visits, and user identity. With the bidirectional integration, you'll be able to pipe Attribution data as user traits into Twilio, Twilio Segment, and Engage.