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…
$0
Includes 1,000 visitors/mo
Zaius (discontinued)
Score 7.7 out of 10
N/A
Zaius, or Optimizely Data Platform after being acquired by Optimizely in March 2021, was a a customer data platform, or as the vendor describes it, B2C CRM. It helped B2C marketers grow revenue from their existing customer base using segmentation, personalization, marketing automation, and attribution tools. It is discontinued.
N/A
Pricing
Twilio Segment
Zaius (discontinued)
Editions & Modules
Free
$0.00
Includes 1,000 visitors/mo
Team
$120.00
Includes 10,000 visitors/mo
Business
Contact Sales
Custom Volume
No answers on this topic
Offerings
Pricing Offerings
Twilio Segment
Zaius (discontinued)
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Twilio Segment
Zaius (discontinued)
Features
Twilio Segment
Zaius (discontinued)
Tag Management
Comparison of Tag Management features of Product A and Product B
Twilio Segment
7.6
Ratings
8% below category average
Zaius (discontinued)
-
Ratings
Tag library
8.00 Ratings
00 Ratings
Tag variable mapping
8.00 Ratings
00 Ratings
Ease of writing custom tags
8.00 Ratings
00 Ratings
Rules-driven tag execution
7.00 Ratings
00 Ratings
Tag performance monitoring
7.00 Ratings
00 Ratings
Page load times
8.00 Ratings
00 Ratings
Mobile app tagging
7.00 Ratings
00 Ratings
Library of JavaScript extensions
7.50 Ratings
00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Twilio Segment
7.6
Ratings
7% below category average
Zaius (discontinued)
-
Ratings
Standard visitor segmentation
8.00 Ratings
00 Ratings
Behavioral visitor segmentation
7.50 Ratings
00 Ratings
Traffic allocation control
7.00 Ratings
00 Ratings
Website personalization
8.00 Ratings
00 Ratings
Customer Data Management
Comparison of Customer Data Management features of Product A and Product B
Twilio Segment
8.3
Ratings
2% below category average
Zaius (discontinued)
-
Ratings
Account Scoring
8.50 Ratings
00 Ratings
Customer Data Governance
9.00 Ratings
00 Ratings
Data Connectors
8.70 Ratings
00 Ratings
Data Enhancement
8.00 Ratings
00 Ratings
Data Ingestion
8.70 Ratings
00 Ratings
Data Storage
8.50 Ratings
00 Ratings
Data Visibility
8.00 Ratings
00 Ratings
Event Data
8.00 Ratings
00 Ratings
Identity Resolution
7.50 Ratings
00 Ratings
Best Alternatives
Twilio Segment
Zaius (discontinued)
Small Businesses
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Medium-sized Companies
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Enterprises
Bloomreach - The Agentic Platform for Personalization
Score 8.6 out of 10
Bloomreach - The Agentic Platform for Personalization
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
During high-volume communication times such as Black Friday and the holidays, Optimizely Data Platform's ability to allow us to seamlessly target (or exclude) certain audiences has enabled us to effectively interact with our customers without overdoing things. However, we would like to have the ability to send auto-order updates during peak volume times, as this would alleviate pressure on our customer service department.
Potentially, it could "warn" the developers/product about areas in our code that are not covered by events (and let us decide if it's "be design" or we missed it).
It's difficult to get accumulated history data exported out in order to analyze it.
There's no easy way to compare data from 2 sources (our main target is to compare the same events between our test environment and prod environment).
They finally have gotten on-site recommendations, hooray! I wish it happened sooner, and it is still early in its development, so I would say some things take longer than I would hope to do. But who does not feel that way about everyone? The key here is it gets done, and they keep improving things, which I love.
I would like there to be more opportunities to use it outside of eCommerce. I would love to use it for content-specific sites, but honestly, that is not what it was built for, so I will shut up about that now.
There's so much that needs to be improved and it seems like not much has happened since Optimizely first took over. When Optimizely did take over, they reduced the UX of campaign reporting.
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.
Positive - Onboarding was quick and easy. Positive - Access to a Zaius data analyst has been wonderful. Negative - I don't know who our CSM is if we even have one.
We have a home built CRM. From start to finish our implementation was a nightmare loaded with problems that destroyed my initial trust with the platform.
Segment is not really suitable for most websites that have more than 10k MTU - If you run a semi-popular website, there are many tools out there that will do basic web analytics, like Google Analytics. Google Analytics provides simple resources for tracking user growth, demographics, and conversion rates of websites, which is more suitable for companies that are looking for simpler analytics data.
Optimizely Data Platform has a friendlier interface than most and feels more custom. If we have an idea we would like to implement, we know that it's possible to do so with ODP - it may take a bit of time and it might not be the most intuitive implementation, but it is possible. With other platforms, there is less room for creativity, and many ideas that you may come up with will, unfortunately just not be possible to implement.
Event tracking lets you take ownership of your own data, which in part makes it easy to craft metrics and do deep dives to see how your product is working. This has a huge ROI, because without metrics you're basically flying blind.
You can also use Segment's event tracking to fuel your experimentation and AB testing strategies. AB testing is the best way to ship features in a tech product with confidence that you're making a positive impact.