Adobe's Customer Journey Analytics is a service built on Adobe Experience Platform that lets the user join all data from every channel into a single interface for real-time, omnichannel analysis and visualization, allowing users to make better decisions with a holistic view of the business and the context behind every customer action.
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Twilio Segment
Score 8.3 out of 10
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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…
Adobe Customer Journey Analytics has much more flexibility and power than AA. Workspace skills port over easily. However, there are some key AA functions that work differently in CJA and teams well entrenched in AA should be aware before switching. These include marketing …
It is well-suited when we are running a digital campaign, we are able to take the standard campaign metrics (impressions, CTR, etc.) and break them out by specific brands, device type, campaign variation, etc. It allows us to break down into the granular specifics of where we should iterate the campaign and make improvements/adjustments.
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
Customer journey analytics can be used to analyse data from a range of data sources and the data can be visualised, filtered etc. by users.
It also allows users to handle custom data to handle their specific needs and the data can be catered as per users need its like your own customised platform.
The best part is the integration users can connect this to various other platforms with one ID. This helps the user with easier usage and less hassle as everything is kind off a click away.
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.
When you come from the Google Analytics environment, where the dashboards are out of the box and built for you, it is a shock to go to a system where you have to build your own. This is especially true, if you are in an enterprise organization that has rolled out Adobe Customer Journey Analytics across all domains, but has not provided support to build dashboards.
It would be great to have more out of the box dashboards or templates provided to all users. Not sure if this is too complex for an enterprise use case.
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.
It's the most customizable and flexible analytics tool I've used. While the tool can be slow and clunky at times, the value it provides far outweighs those issues. Being able to bring offline data and merge with web data to combine in one place is where clients need to be get the most success out of their data
The overall user interface is very easy to understand and navigate. The overall platform is highly intuitive and provides seamless integration across web, mobile, and other channels. The overall implementation is seamless, resulting in a faster time to market. The platform is built for marketers and folks with low-code experience.
For the most part, CJA is available. There are instances where the product is experiencing an outage but I haven't found this to be super frequent to the point where it really impedes my work
Adobe Customer Journey Analytics does really well running reports. As data or date ranges get bigger, it sometimes has issues running. When there are a lot of freeform tables used, it takes a long time for data to load. There are time where Adobe Customer Journey Analytics is down during work hours, which makes it hard to do work in the workspace.
Good enough tools and offline support. We had a model of "hypercare" that was mostly good, sometimes not good. But that was more personality/people based, rather than established processes. Overall the support was timely and effective
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.
Should be staged differently. It should be Do online stuff, get basic skills/qual. Then do "homework" type tasking, then come to class with an instructor. We got the traditional "start from 0, then step 1, then step 2..." training. This usually saps energy/focus. All training should be like a lab/practice session. If someone needs information or basic knowledge ... put it in a elearning, FAQ, job aid, or resource page.
Should have more of this for the 101-level stuff. No one needs a Zoom class covering the basics. I need a "guide on the side" when I'm learning new stuff. I want support while I practice.
Adobe Customer Journey Analytics has additional features beyond the basic analysis workspace that allow for omni channel reporting, greater integrations with data from other sources, and being able to make changes to your data retroactively to reduce the impact of tracking issues. It also has a B2B edition with added functionalities for companies that have B2B.
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.
You have the ability to create 'user groups' with different levels of access in CJA. We helped set this up for a large organiztion where they had marketers, executives, devs and analysts all having different levels of access to use CJA but with the appropriate guardrails in place for each user group. It worked out really well for their organization.
As a consultant specializing in implementation, this has been very good for my business objectives.
My clients have found it very useful, as long as they receive training and support on how to use it. I have worked at organizations where it is not properly utilized because people are "afraid" to learn it.
It has delivered key insights for organizations, leading to improvements in their site design and conversion funnel.
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.
