The Tealium Customer Data Hub powers capabilities across the data supply chain. Tealium universally collects customer data from any source including; websites, mobile applications, devices, kiosks, servers, and files. Data collected is then standardized in the data layer, which drives usage of data for customer engagement and analysis.
N/A
Twilio Segment
Score 8.3 out of 10
N/A
Segment is a customer data platform that helps engineering teams at companies like Tradesy, TIME, Inc., Gap, Lending Tree, PayPal, and Fender, etc., achieve time and cost savings on their data infrastructure, which was acquired by Twilio November 2020. The vendor says they also enable Product, BI, and Marketing teams to access 200+ tools (Mixpanel, Salesforce, Marketo, Redshift, etc.) to better understand and optimize customer preferences for growth— all integrations are pre-built and…
Tealium Customer Data Hub focus on security and privacy is second to none, especially when you start to compare these to their competitors. This was one of the main reasons that we recommend it to our clients along with its ability to be easily managed by IT and marketing teams …
Tealium is a solid CDP vendor with leading capabilities when it comes to data collection and distribution in real-time (sub-sec) compared to other evaluated vendors. Tealium Customer Data Hub's ease of ingesting new data with limited additional configuration required compared …
Tealium Customer Data Hub is cost effective in terms of comparison with sap but for organization who requires high retention and solution as per requirement and needs of customer it is best to go with sap solution.
There are many ways to move to a 1st party data model, and it might not seem like Tealium Customer Data Hub is even necessary if you're doing your own data warehousing and have BI tools. What Tealium does is allows you to make sense of customer data and easily do something …
In the end, the overall scope of integrations available and the tools on hand were far greater on Tealium and couldn't be matched by any other company. The price is competitive but even though you will pay more, we found that it was worth the added expense. Can't speak to the …
We primarily selected Tealium IQ over Google Tag Manager as we had a requirement to utilize Tealium Audience Stream which required Tealium IQ. Overall, we have seen benefits from using Tealium IQ, such as performance improvement and easier integration of some third-party tags. …
For more suited, I'll say highly regulated industry around data like healthcare, insurance, finance, where Tealium can be very helpful and for clients that don't have much different channels where they interact with their clients. So companies that only sell on internet and are a small company, I can see Tealium being the best usage for these clients, for these companies.
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
Simple tag management that is tough to beat. So many solutions that are incredibly simple to setup and gather data for.
Security around the data is key and Tealium excels in this area.
The speed impact of the tag setup is key to optimizing and allowing our web properties to run more effectively, which is a better experience for the end user.
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.
Audiences—don't they technically exist in Tealium? They are just streamed—no count, no backfill, etc.
Working backward to identify issues involves lots of clicking in the UI, going from audience to audience attribute, badge to event attribute, and so on.
You have to wait for a Real-Time event to see the payload. There is no sample or other option.
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.
I already know that my company has no plans to discontinue use of Tealium. We are heavily reliant on it due to a huge number of product teams and developers we would have to work with to place tags across many pages. Tealium is already there on the pages, and our application/product teams are familiar with how to integrate it. It is just the simplest way to ensure that new data requirements are implemented in a timely manner.
Tealium iQ Tag Management System does exactly what it is intended for, it manages vendortags. Changes can be made to websites and apps in minutes. The frontend is well structured, updates are easy to carry out, and Tealium support is available at all times.
The support team often is so quick to respond and so helpful when it comes to working with the needs of my clients and being able to resolve potential shortcomings or technical issues or surrounding the tool. There have been times more recently that I’ve gotten more generic service rather than the tailored experience that I have come to expect.
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.
Implementation had some bumps in the road and it was new for all of us, but for the most part, it was easier than many other implementations we've done with other technologies.
Tealium Customer Data Hub can do it all in one. Whereas, I think by using multiple Tealium Customer Data Hubs, we can utilize what each tool is really good at. In an ideal world, we'd like to use Tealium Customer Data Hub for everything, but one thing that we struggle with is Audience Segmentation, and we are looking for a one touch solution, without a lot of the work since the data is already there.
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.
There has been a near immeasurable return on customer data and improvement of our quality for our physical products due to be in tune with the customer. This has changed our way of doing things for the better to gain a better flow and overall workplace experience.
A negative is that Tealium AudienceStream becomes harder to manuever and use data analytics for when a database has been existing for a fairly large amount of time. It goes from an agile ship to a huge vessel that takes many components to be able to move.
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.