Moat Analytics is a cross-channel analytics platform with emphasis on mobile analytics and its mobile heatmap for analyzing web engagement. The product is an independent product offering in the Oracle Data Cloud family of products since Oracle acquired Moat in 2017.
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…
$120
per month
Pricing
Oracle Moat Measurement
Twilio Segment
Editions & Modules
No answers on this topic
Free
$0.00
Includes 1,000 visitors/mo
Team
$120.00
Includes 10,000 visitors/mo
Business
Contact Sales
Custom Volume
Offerings
Pricing Offerings
Oracle Moat Measurement
Twilio Segment
Free Trial
No
Yes
Free/Freemium Version
No
Yes
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
Oracle Moat Measurement
Twilio Segment
Features
Oracle Moat Measurement
Twilio Segment
Tag Management
Comparison of Tag Management features of Product A and Product B
Oracle Moat Measurement
-
Ratings
Twilio Segment
7.6
2 Ratings
8% below category average
Tag library
00 Ratings
8.01 Ratings
Tag variable mapping
00 Ratings
8.01 Ratings
Ease of writing custom tags
00 Ratings
8.01 Ratings
Rules-driven tag execution
00 Ratings
7.01 Ratings
Tag performance monitoring
00 Ratings
7.01 Ratings
Page load times
00 Ratings
8.01 Ratings
Mobile app tagging
00 Ratings
7.01 Ratings
Library of JavaScript extensions
00 Ratings
7.52 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Oracle Moat Measurement
-
Ratings
Twilio Segment
7.6
2 Ratings
7% below category average
Standard visitor segmentation
00 Ratings
8.02 Ratings
Behavioral visitor segmentation
00 Ratings
7.52 Ratings
Traffic allocation control
00 Ratings
7.02 Ratings
Website personalization
00 Ratings
8.01 Ratings
Customer Data Management
Comparison of Customer Data Management features of Product A and Product B
Oracle Moat Measurement
-
Ratings
Twilio Segment
8.3
3 Ratings
1% above category average
Account Scoring
00 Ratings
8.52 Ratings
Customer Data Governance
00 Ratings
9.02 Ratings
Data Connectors
00 Ratings
8.73 Ratings
Data Enhancement
00 Ratings
8.02 Ratings
Data Ingestion
00 Ratings
8.73 Ratings
Data Storage
00 Ratings
8.52 Ratings
Data Visibility
00 Ratings
8.02 Ratings
Event Data
00 Ratings
8.02 Ratings
Identity Resolution
00 Ratings
7.52 Ratings
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Score 9.1 out of 10
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Score 9.7 out of 10
Bloomreach - The Agentic Platform for Personalization
Score 8.9 out of 10
Enterprises
Alteryx Platform
Score 9.1 out of 10
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Moat is well suited to implement into digital placements that are being served through third-party ad servers (Campaign Manager, Flashtalking, etc). It holds your publishers accountable from a viewability standpoint. If you are running high dynamic or site serving placements with 1x1 or click trackers, you aren't able to measure viewability and are at the mercy of publishers providing viewability metrics.
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
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.
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.
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.
Moat gives our team more insight into how campaigns are running. They give a more detailed breakdown per creative whereas other platforms only touch upon the limited or more specific information.
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.
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.