Open Web Analytics is an open source web analytics software product licensed under GPL and provides website owners and developers with ways to add web analytics to their sites using simple Javascript, PHP, or REST based APIs. OWA also comes with support for tracking websites made with content management frameworks such as WordPress and MediaWiki.
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…
$0
Includes 1,000 visitors/mo
Pricing
Open Web Analytics
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
Open Web Analytics
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
Open Web Analytics
Twilio Segment
Features
Open Web Analytics
Twilio Segment
Tag Management
Comparison of Tag Management features of Product A and Product B
Open Web Analytics
-
Ratings
Twilio Segment
7.6
Ratings
8% below category average
Tag library
00 Ratings
8.00 Ratings
Tag variable mapping
00 Ratings
8.00 Ratings
Ease of writing custom tags
00 Ratings
8.00 Ratings
Rules-driven tag execution
00 Ratings
7.00 Ratings
Tag performance monitoring
00 Ratings
7.00 Ratings
Page load times
00 Ratings
8.00 Ratings
Mobile app tagging
00 Ratings
7.00 Ratings
Library of JavaScript extensions
00 Ratings
7.50 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Open Web Analytics
-
Ratings
Twilio Segment
7.6
Ratings
7% below category average
Standard visitor segmentation
00 Ratings
8.00 Ratings
Behavioral visitor segmentation
00 Ratings
7.50 Ratings
Traffic allocation control
00 Ratings
7.00 Ratings
Website personalization
00 Ratings
8.00 Ratings
Customer Data Management
Comparison of Customer Data Management features of Product A and Product B
Open Web Analytics
-
Ratings
Twilio Segment
8.3
Ratings
2% below category average
Account Scoring
00 Ratings
8.50 Ratings
Customer Data Governance
00 Ratings
9.00 Ratings
Data Connectors
00 Ratings
8.70 Ratings
Data Enhancement
00 Ratings
8.00 Ratings
Data Ingestion
00 Ratings
8.70 Ratings
Data Storage
00 Ratings
8.50 Ratings
Data Visibility
00 Ratings
8.00 Ratings
Event Data
00 Ratings
8.00 Ratings
Identity Resolution
00 Ratings
7.50 Ratings
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Open Web Analytics is an opportunity for those that like to have skeletons for the start of customized solutions. The package offers several best practices set of features and functions. The possibilities add up to higher performance API for example from Google Analytics. The vast of additional features are of higher value because the market does not have other solutions. There are solutions around Open Web Analytics for example in SAP Design Studio that integrate beyond Content Management systems and attached Shops Systems to Warehousing, Logistics, and Deliverment Management. The market situation are covering all that is possible and has demand. The universality is implemented at the user interface and therefore unmatched and even robust for new kinds of visualization interfaces or input device types. A draw is that against payment system remains a security gap and data security and data safety might be a topic for each customer and user.
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
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).
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.
Google Analytics is the market leader for web analytics. The package offers search engine marketing that can be integrated into Open Web Analytics. The features and functions of Open Web Analytics compare close to Matomo Analytics. In terms of market share Google Analytics has all and the other two have very little and their other competitors have almost nothing. That changes in specialized markets. Google Analytics is everywhere and much more influential than other search engines because of that particular service. There had been a dying period for such web analytics software packages. There are three kinds of web analytics software packages. Free/open source like Open Web Analytics and Matomo, Proprietary like Urchin from Google, and hosted/software-as-a-service-packages like the market leader Google Analytics. I consider all as rather different in performance. Those closer to the busiest server are the best for traffic. Heat maps are well placed on the hosting server.
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.
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.