Customer.io vs. Twilio Segment

Talking from the perspective of a marketer at a SaaS with average. 50K email subscribers, Customer IO has been an excellent tool for us. Our requirements include sending users newsletters, marketing emails, and transactional emails, running lead-nurturing campaigns, and more. For a comprehensive use case like ours, CustomerIO is great. While it also has a learning curve, when you have such requirements, it’s worth it. I don’t think CustomerIO is the best fit if you have basic requirements like only weekly newsletter emails.

Incentivized

Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application

Incentivized

• Managing users, attributes and events. You are easily able to modify any user, based on their ID, and add or remove attributes, assign events to them. That makes it very easy to segment later and to assign them to several campaigns based on behavior. Just a warning: this integration isn't so easy (at least it wasn't for us).
• Creating workflows of campaigns is very easy. You can quickly create behavioral campaigns based on attributes, segments and add elements to the workflow. You can send an email, then wait, then send another, then exit the campaign if they converted, etc. The workflow is easy to configure and very powerful for automation.
• We don't use many email templates (we make them in MJML) but it's very easy to add senders, to change templates and in general to test designs.
• Deliverability works very well, at least for us. It sends emails pretty fast and without issues.
• Exporting is very quick and easy. Importing wasn't a feature until recently, but it works well too.
• Seeing activity it's also useful. In general, logs are awesome (be it of a customer, of activity on the site, email sends, etc.).
• We don't use environments, but it might be very useful for a bigger company.

Incentivized

• Multi-platform. Segment has easy integrations in many different web, backend, and app platforms/frameworks. We use the Segment SDK in Android and iOS as well as our node.js backend.
• Segment is fairly affordable for early-stage companies that are trying out different analytics software. The "developer" plan is free and is suitable for most companies with products that have a small user base.
• The UI is great! It is extremely intuitive and easy-to-learn, and this made it take very little time to integrate this software into our analytics and marketing workflows.

Incentivized

• Price is quite expensive for Premium or once you get into high volumes of contacts.
• Depending on how you'll use it, it may require some help from developers to set up.
• Despite the support being great, you have to email them, there's not chat feature.

• More and richer sources. For example, MailChimp is a source but the data you get from MailChimp is quite limited. I ended up writing my own scripts to take better advantage of MailChimp's API because Segment's integration was lacking.
• Better examples on how to set up event tracking. Pageview tracking is easy enough, but it would be nice if they had a sample app and corresponding code for it and showed you, via Git commits, how to add various kinds of events.

Incentivized

Everything was pretty intuitive to use if you've used an ESP before. The only thing that was confusing is Campaigns vs Newsletters - some of their naming conventions aren't straightforward. But their docs, support and AI agents are all super solid.

Incentivized

My experience with their support team has always been great. Very quick to respond, have an online chat, and are very helpful. They helped me resolve any issues I've had every time in a professional and knowledgeable manner. We've now switched to another tool, and I can't even compare the service level we get there to customer.io

Incentivized

Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.

Incentivized

Customer.io was really the first pure, full-featured drip email program on the market and as far as I know, it's still the simplest and best overall for that specific function. SendGrid has also added drip campaign features, but I would seriously evaluate Customer.io against any other drip email provider because they really have all the key elements you need to make it work.

Incentivized

We chose Twilio Segment for the good API integration and node resources, I would use Ontraport again, particularly if I didn't have the requirements for API and development/platform integration. Certainly the set up and management is easy and seamless with both the API and the user interface to use depending on circumstances and requirements.

Incentivized

• Positive impact on the sales side. I'm not sure about the specific ROI (you have to include the designer and the time it takes to set up) but you certainly get back the investment in a few months, once you are able to scale your email marketing.
• Customer experience is way better by having more segmented, contextual and accurate messages sent to them.
• Integration is costly and it will take several days or weeks to be fully achieved. Expect to invest some money on this.

Incentivized

• Segment has enabled us to get a full view of our front end activity, join it to our back-end activity, and get full visibility into our funnels and user activity.
• Segment lets us send events to ad tools with a full audit trail so all the numbers line up.
• Segment also brings data from other sources into our data warehouse, saving our data engineering time from building commodity connectors.