Twilio Segment vs. WebEngage

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

WebEngage can easily reduce turnaround time for product and marketing teams to execute marketing campaigns for specific user segments as well as remove any dependency on internal tech teams for the development and maintenance of automation journeys. Further, A/B tests can be executed to measure the performance of message variants in real-time directly from the panel. But WebEngage lacks a robust Analytics platform. While basic metrics such as open rate and click-through rate for messages being sent can be considered for reporting, attribution is still not the strongest suit in case the marketing team relies on multiple Ad networks for acquisition. Thus, as per experience, it's better to use the automation suite offered by WebEngage with a different data analytics platform.

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

• Ease in creating user journeys.
• Easy implementation of APIs.
• Good reporting dashboard and scheduling features.
• Segmentation of the users is easy.

Incentivized

• 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

• Relays
• Onsite should have more options of templates.
• Backend support for better reachability of the channels.
• Cohort studies should be more customizable.

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

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

WebEngage's dashboard is relatively more intuitive and easy to understand. Further in terms of cost as well it is value to money as it delivers excellent ROI. The after-sales support is also better in terms of responsiveness and helps in case of issues with the execution of campaigns. The account managers also ideate and help in the optimization and creation of new user journeys.

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.

• Helped in lowering cost of marketing.
• Driving higher volume of Direct Sales.
• Increasing conversion rate on the website.
• Increasing lead to sale ratio.

Incentivized