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Implement a campaign using Twilio Segment to convert trial users to paid subscribers by creating personalized marketing based on their behaviors and preferences, highlighting appealing features and benefits.

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.

Implement a campaign using Twilio Segment to design personalized messaging and recommendations based on user preferences and previous visit behavior to win back lapsed customers.

In this recipe, you’ll learn how to use Engage (formerly Personas) and Destinations by Twilio Segment and the A/B testing tool, Kameleoon, to target website visitors with experiments that can help financial services companies up-sell and cross-sell products and services.

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

Implement a campaign using Twilio Segment to increase repeat purchases with personalized discounts based on intent signals to win back customers with low recency purchase patterns.

Implement a campaign that uses personalized messaging to engage customers at the right time to drive conversions from trial to paid subscriptions by demonstrating the value of the product or service during the trial period.

Set up a campaign with Twilio Segment to track and mitigate signup abandonment so you can win back customers.

With the explosion of artificial intelligence technologies in recent months, it is important for marketers and product teams to harness the power that AI can bring to their marketing efforts. Twilio Segment’s Predictive Traits and Predictive Audience creation (currently both in beta) gives marketers a no-code solution to tap into AI and yield higher returns on their marketing efforts by allowing them to predict the likelihood of a user performing any custom event within Twilio Segment. Examples could include finding users with a high propensity to churn, purchase, refer a friend, or use a promo code. Armed with this knowledge, you can increase the effectiveness of your marketing communications. Predictive Traits is a no code machine learning model that helps marketers improve their targeting in campaigns and journeys to achieve better results. Predictive Traits gives marketers super powers to take any tracked Twilio Segment event and predict the likelihood that any user will perform that action over the next 30 days. Audience modeling serves as the foundation for predictive audiences. It applies predictive intelligence to identify audiences based on specific criteria such as discount affinity, channel affinity, lifecycle stage, purchase activity, likelihood to convert, and likelihood to unsubscribe. In this recipe, we’ll share how we can harness the power of predictive traits and audiences to predict which customers are most likely to transfer money out of their bank accounts. Given the liquidity pressures that banks incur when deposit outflows occur, it is of utmost importance to ensure your bank is doing everything possible to keep customer’s money within your platform.

This recipe will show you how to use Segment with Twilio Engage to trigger a Qualtrics survey and capture response data, further enhancing the customer profile to drive personalization.

Growth leaders today need to retarget their most valuable customers and know where they came from. By leveraging a customer data platform like Twilio Segment and a Mobile Measurement Partners (MMP) like Branch, you can identify your most engaged and high-LTV users, get accurate campaign attribution data, and discover your highest-ROI ad channels. In this recipe, you will learn how to identify and group your highest-value customers, as well as where they came from. You can then use this data to deliver targeted ads and capture more customers just like them in the same channels, with accuracy and at scale.

This guide will focus on teaching you how to track e-comm data in Mixpanel to allow for meaningful explorations. You’ll be able to see how different analyses from funnel and insights reports can help you identify opportunities to make change.

This recipe teaches you to build a targeted dynamic coupon campaign using Twilio Segment and Talon.One. Once you identify an Audience of first-time customers, you can distribute a coupon that helps you encourage them to come back and purchase again.

Set up a campaign with Twilio Segment to track and mitigate cart abandonment so you can win back customers.

Learn how CustomerAI Predictions can help B2B businesses improve targeting to move prospects more effectively through their sales and marketing funnels.