160 Segment Testimonials

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  • “This really created a feedback loop. Our cycle of technology drives a strategy. That strategy then drives operations that utilize events along with the data, so everything feeds back into the analysis and decision process and refines our models over time.”

  • "The developer experience with Segment was super easy. Docs were robust enough for us to follow and build an integration within a day."

  • “We use Segment to understand everything going on with our customers. We are able to understand active user behavior, where usage drop-off occurs and who might be at churn risk. I can't even begin to imagine how we would have done any of this before Segment.”

  • "When setting out, our general principle was to work with best-in-class tools right across the board. We didn’t want to deploy a second rate option and then have to change further down the line because we didn’t have the capabilities we needed. We could see from day one that Twilio Segment would enable us to create a world-class infrastructure for customer data and that the platform would support and accelerate rapid growth in the future."

  • "We had disparate systems storing all this data and we were able to pull those traits into Segment and actually leverage them. We’re starting to really see the benefit, and I think that’s been a relatively understated accomplishment."

  • "He set up an AI-powered chatbot to assist customers in that moment, identifying the error so it could be corrected, enabling customers to continue through the self-service checkout process, resulting in a 25% lift in signup completions."

  • "Having worked in affiliates and partnerships for close to a decade, I can say without a doubt that impact.com is the best platform to manage and grow partners at scale. It’s super easy to use, is extremely flexible, and has so many powerful features and capabilities. The integration with Twilio Segment was seamless and exemplary of their innovation in the market. We now have superior accuracy, capacity, and insight into the symbiotic relationship between our partners and customers."

  • "We went from a system of batched, general recommendations at a country level to a system of one-to-one recommendations based on your actions. We’ve seen a massive improvement in not only revenue generated, but also customer loyalty."

  • “Nearly six years after Pomelo started, we were still using virtually the same algorithm we built in-house. It ranked the products shown to customers based on overall page views and purchases by geo, delivering the same generic product recommendations to every customer in a given country.”

  • "All in all, working with Twilio Segment has given us the chance to be proactive about data privacy changes. What could have been a mad scramble to get around the changes actually set us up for success by offering a better experience for our readers and advertisers."

  • “With Twilio Segment Personas, we’ve witnessed a direct positive impact to our advertising revenue. Our data science team can now pass probability scores to Twilio Segment Personas for teams to create audience segments based on the buyer journey. These targeting audiences perform better and drive higher value on Google Ad Manager and direct deals with advertisers.”

  • “We now have a better understanding of our target market ‘outdoor enthusiasts' which enables us to sell more camping products and become the one-stop-shop for our customers’ RV needs.”

  • “A significant increase in revenue which we attribute to the improved targeting and personalization of our communications."

  • “by focusing our marketing efforts exclusively on people who have demonstrated a purchase intent, while simultaneously filtering out inactive or disengaged customers, we have been able to optimize our advertising spend.”

  • “Every time we have a use case, it gets prioritized based on how it contributes to the overall objectives of the business. Although marketing drives revenue, other important initiatives were being prioritized, so we looked for a solution where we rely less on data science resources and more on platforms to do the hard work for us."