Explore popular solutions to empower every team

The desired outcome of this campaign is to identify and attract new high-value customers by leveraging the data and behavior patterns of existing loyal and high-value purchasers. By targeting lookalike audiences who share similar traits and behaviors with your best customers, the goal is to maximize the efficiency of marketing efforts, increase the average customer lifetime value, and boost overall revenue.

The desired outcome for building a campaign for app install lookalikes is to achieve a significant increase in the number of high-quality app installations by effectively targeting audiences that resemble the profile of successful app installers.

Learn how Product-Based Recommendation Audiences can help you boost upsell by enabling you to easily spot people ready for specific upgrades.

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.

Signing up for a loan application product is often a confusing process, because many new users get stuck before even completing their application. This could be because their UX is confusing and the user is not sure how to proceed, or because the user simply forgets to upload required documents required to complete the application. Whatever the cause, our customers have found that by identifying users who are dropping at certain stages during the application process, you can create a personalized journey that can drive a 2-3x higher application rate! In this recipe, we'll show you how to accomplish this with Twilio Segment and Twilio Engage.

Retaining existing customers is critical for businesses looking to achieve sustainable growth and long-term success. Loyal customers are more likely to refer friends and family to a business, and businesses with high retention rates are more likely to see positive financial outcomes, including higher revenue growth and profitability. With so much at stake, it's essential for businesses to take proactive steps to retain their users and provide them with exceptional experiences. One way that businesses can retain slipping users is by automating customer retention journeys using tools like Twilio Segment and Twilio Engage. By collecting and activating customer data with Twilio Segment, businesses can gain valuable insights into their users' behavior and preferences, which can inform targeted messaging and personalized experiences. Twilio Engage can then be used to automate customer journeys, providing users with the right message at the right time, based on their individual needs and preferences. In this recipe, we'll explore how to use Twilio Segment and Twilio Engage to automate customer retention journeys and retain slipping users, driving long-term loyalty and success.

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!

Implement a campaign using Twilio Segment to track and increase new user signups, helping you expand your user base and enhance engagement.

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.

The surest sign of a great product is when users keep coming back for more. Keeping track of user retention - the percentage of users that return to your product - is a strong indicator of product-market fit. Companies large and small measure user retention to guide their decision-making. Though user retention tends to trend downward, it’s best to strike a balance between keeping your existing users happy and acquiring new ones. Otherwise, you’ll be working with a leaky bucket. In this recipe, we explain how to use product analytics to measure and improve product-market fit. By inputting the correct data, adding retention cohorts, and collecting user feedback, you can create the optimal product roadmap to boost retention.

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.

In this recipe, you'll learn how to pipe A/B test data from Algolia into your data warehouses and downstream analytics tools, to visualize search data and run further analysis.