Parse.ly is a content optimization platform for online publishers. It provides in-depth analytics and helps maximize the performance of the digital content. It features a dashboard geared for editorial and business staff and an API that can be used by a product team to create personalized or contextual experiences on a website.
$499
per month
Twilio Segment
Score 8.4 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
Parse.ly
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
Parse.ly
Twilio Segment
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
—
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More Pricing Information
Community Pulse
Parse.ly
Twilio Segment
Features
Parse.ly
Twilio Segment
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Parse.ly
7.6
7 Ratings
6% below category average
Twilio Segment
-
Ratings
Lead Conversion Tracking
6.23 Ratings
00 Ratings
Bounce Rate Measurement
6.35 Ratings
00 Ratings
Device and Browser Reporting
8.36 Ratings
00 Ratings
Pageview Tracking
8.26 Ratings
00 Ratings
Event Tracking
7.75 Ratings
00 Ratings
Reporting in real-time
8.56 Ratings
00 Ratings
Referral Source Tracking
7.66 Ratings
00 Ratings
Customizable Dashboards
7.66 Ratings
00 Ratings
Tag Management
Comparison of Tag Management features of Product A and Product B
Parse.ly
-
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
Parse.ly
-
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
Parse.ly
-
Ratings
Twilio Segment
8.3
3 Ratings
1% below 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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Parse.ly is a great tool for publishers who want to track engagement and audience behaviour across websites. With Parse.ly, we can easily track metrics like pageviews, time spent on page, and scroll depth to see which content is resonating with our audience and optimize our content strategy accordingly. Our marketers found Parse.ly to be an excellent tool for tracking the effectiveness of our campaigns. We can use Parse.ly to track metrics like referral sources, conversion rates, and engagement by audience segment to see which channels and tactics are driving the most engagement and conversions.
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.
As an employee, this is difficult for me to comment as I am not directly funding or making these business decisions. However, it is a tool many get on with for surface level data that is useful to editorial teams.
The Parse.ly platform is very user-friendly and easy to use. User management is simple, and reporting setup only takes a few minutes. They provide very helpful documentation for implementing the scripts on your site and have great customer support to help with custom development such as implementing their content recommendation engine.
I rate this question this way solely because I haven't requested any support. I feel where I will eventually get support would be when we take Parse.ly up on some training that is being offered. We are looking to do that at some point after the first of the year and when our schedules support it.
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.
Parse.ly does pretty well compared to Chartbeat, particularly when it comes to historical information and analysis options that are easy for employees to use after some short training. The onboarding for Parse.ly is intuitive, and the scheduled reports take away basically all of the inconvenience associated with regular metrics reviewing. But Chartbeat wins in its social audience tracking because it can source traffic to a specific social post, which can show you exactly how your audience is coming to your content and where you need to put your content to be sure you get that audience.
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.
Sometimes in meetings our editorial director will point out stories that didn't perform well. To us, that means readers don't really care about the topic, so we'll pivot away from writing about that in the future. That might not be "business objectives" though.
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.