Senior Software Engineer at a government with 1,001-5,000 employees
Real User
Top 20
Mar 13, 2026
I have used Segment for more than a year. I was working with Addx and Segment was used to align profiles and different user profiles. I used it for journey building, unifying different emails or profiles, and tracking profile behavior. My primary use case was an abandoned cart journey where when users were viewing their cart, we would get an event. Whoever was going to view their cart would be added to our journey, and we had journey steps where they would receive emails that helped us in getting more money and subscriptions.
Web and marketing automation specialist at a logistics company with 5,001-10,000 employees
Real User
Top 10
Mar 10, 2026
Segment is currently the main customer data source of truth and the CDP we use. Our CDP has become more important over the last few years and is basically the center of all of our customer data from both B2C and part of our business. In my day-to-day work, I collaborate with marketing in order to set up audiences and make sure that they're feeding into the correct sources so that they can activate. Regarding our main use case, we're also checking profiles and making sure that the data that's flowing into Segment is what we're getting into our CRM, which is called Iterable.
We don't have a partnership, but we're a consulting organization. We've proposed Segment as a solution to a few of our clients, and some of them have adopted it. We've helped them with the configuration and integrations. One example is in the InsurTech space. The client had a direct-to-consumer (D2C) channel for selling and distributing policies, along with other channels like an agent portal for sales, leads from partners and purchased databases, and ads from Google and Facebook. We had a lot of different data sources, and we wanted to consolidate all those leads into a CDP instead of just sending them straight to the CRM, which was HubSpot. So, we used Segment to ingest all the leads from those sources, and then integrated with a few third-party tools like Verisk to qualify the leads within the CDP. The qualified leads were then sent directly to the CRM, where they became MQLs—marketing qualified leads—and entered the sales funnel.
Web Analytics solutions provide businesses with insights into their website performance and user behavior.
These tools collect and analyze data from website visits, allowing companies to optimize their digital presence. Through detailed reports and dashboards, businesses can monitor key metrics, analyze user journeys, and make data-driven decisions. Popular solutions include Google Analytics, Adobe Analytics, and Matomo.
Which features are critical in Web Analytics tools?
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I have used Segment for more than a year. I was working with Addx and Segment was used to align profiles and different user profiles. I used it for journey building, unifying different emails or profiles, and tracking profile behavior. My primary use case was an abandoned cart journey where when users were viewing their cart, we would get an event. Whoever was going to view their cart would be added to our journey, and we had journey steps where they would receive emails that helped us in getting more money and subscriptions.
Segment is currently the main customer data source of truth and the CDP we use. Our CDP has become more important over the last few years and is basically the center of all of our customer data from both B2C and part of our business. In my day-to-day work, I collaborate with marketing in order to set up audiences and make sure that they're feeding into the correct sources so that they can activate. Regarding our main use case, we're also checking profiles and making sure that the data that's flowing into Segment is what we're getting into our CRM, which is called Iterable.
We don't have a partnership, but we're a consulting organization. We've proposed Segment as a solution to a few of our clients, and some of them have adopted it. We've helped them with the configuration and integrations. One example is in the InsurTech space. The client had a direct-to-consumer (D2C) channel for selling and distributing policies, along with other channels like an agent portal for sales, leads from partners and purchased databases, and ads from Google and Facebook. We had a lot of different data sources, and we wanted to consolidate all those leads into a CDP instead of just sending them straight to the CRM, which was HubSpot. So, we used Segment to ingest all the leads from those sources, and then integrated with a few third-party tools like Verisk to qualify the leads within the CDP. The qualified leads were then sent directly to the CRM, where they became MQLs—marketing qualified leads—and entered the sales funnel.