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.
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
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
No
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Parse.ly
Twilio Segment
Considered Both Products
Parse.ly
Verified User
Anonymous
Chose Parse.ly
Parse.ly provides clearer insights into what stories are performing strongly in real time. Its interface is more user-friendly and it is easy to compare different time periods, titles or author statistics. Chartbeat had a website overlay to show where readers are going on site, …
Parse.ly excels in providing detailed insights into how users are interacting with specific pieces of content, allowing us to make data-driven decisions about content strategy and optimization. Its real-time reporting also provides us with immediate feedback on the …
Doesn't come with an integrated overlay like Chartbeat, but is more intuitive (just) than GA. Seems more accurate and detailed than Chartbeat but less than GA. It's my go-to for day-to-day traffic engagement but monthly I'm more likely to look at in-house GA-generated reports.
Firstly, I didn't make the business decision to use Parse.ly. I'm just an employee using it. However, the first thing you notice is the change in appearance. Parse.ly's dashboard looks far more complicated than Chartbeat's and the black, white, and green theme [are] not as …
Parse.ly has very rich products and market use in media for content analytics. [The] dashboard provides [a] holistic view on the overall site visitor's information and what needs improvements. [The] dashboard is divided based on sections, author, posts, pages, etc., on the site …
Adobe Analytics is our organization's "official" data source and provides a much more in-depth feature set and customizable reporting tool. It's much less user-friendly than Parse.ly but can provide more detailed reporting. Google Analytics is used by my organization as a …
I used Google Analytics for years. I loved it and still love it. Google Analytics isn't as robust as Parse.ly and doesn't have some of the same capabilities, nor do I trust the data as much. But Google Analytics is still really good, and it's free. If I were at a …
Parse.ly is far more user-friendly than Google Analytics, which feels like a developer's tool by comparison. Parse.ly feels like it is designed for ease of access and use. While analyzing trends is more difficult in Google Analytics, it is straightforward in Parse.ly. Google …
I use then in tandem; where Parse.ly lacks, I go over to Google Analytics and vice versa. Sometimes I need to look deeper at referral sources and that is where Parse.ly isn't as strong, especially if I am looking at a bigger set of content.
Parse.ly works better than Google Analytics. This is mainly due to its simplicity whereas Google Analytics can quickly become quite complicated with a lot of moving parts. Parse.ly, on the other hand, is quick to learn and understand while also providing a lot of information.
Parse.ly is easier to use and more self-explanatory than Google Analytics. The site essentially explains itself upon visiting it. Chartbeat was quite good but I believe Parse.ly provides more granular details on web traffic and gives the user more insights into how and why …
Parse.ly is easier to track and to understand for me than the features that Google Analytics offers. Nonetheless, graphics seems to be more complex in Google's environment, which [I feel] can be a weakness for Parse.ly in the case of Data Analysts. Although, both are used in …
Mixpanel and Amplitude offer strong data analytics and Google Analytics is powerful for web data, but their integration capabilities are less extensive compared to Twilio Segment. It's easy-to-use api and data collection and cleaning capabilities Twilio Segment operates as a …
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 …
Tealium was slow to set up and unreliable. It has better pricing but took significantly more Dev time to implement. We also could not debug issues and their support was slow to assist.
Segment is considerably cheaper but doesn't have the GUI for non-SQL users. GA Premium doesn't have all the data connectors, and can be more difficult to configure on SPAs.
I'm not sure these are "official competitors" (or alternatives) to Segment, but we use them in parallel for different goals. We use Datadog for logging and monitoring and we use Mixpanel to perform data analysis based on the data we gather using Segment (and other sources). I …
We tried to set up our entire data analytics process through these tools but there were some parts of the data capture, set-up, analytics that was missing with these tools. None of them could provide the ease of setting up with a complete picture of the data and analytics like …
It's much more personalized and user-focused data available in real-time, and immediately exported to an external database. It's provided more control over how the information is used and displayed for actionable insights.
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, …
The competitors above either charge a lot if you want to warehouse your data, don't allow data warehousing, or make it very difficult to warehouse your data (requiring you to write custom scripts and run them on schedulers). Segment makes it easy to warehouse your application's …
See my previous response. Google Tag Manager is great if you are firmly in the Google ecosphere. But they don't have as many integrations as Segment.io
Looked at Google Tag Manager, but too complicated. Segment.io mostly competes with each individual martech tool of implementing all the event tracking yourself for each tool.
For people working in online media, or digital content creators, the platform could help them understand their audience and allow them to interact with them in a user-friendly way. Since the digital media industry is booming, Parse.ly can allow the user and the content creators to meet each other's demands and reduce redundancies and bombard the users with unnecessary content.
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
Real-time metrics are great and help us decide what content to follow up on.
Audience segmenting is key, helps us determine where we're strong and where we're not.
Historical metrics are also helpful in helping us see what readers come back to overtime, which drives decisions about what content to devote more resources to producing.
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).
Cost is always a factor when considering any renewal, so we will always see how that compares to other offerings, but we have been pleased with the functionality from Parse.ly. Importantly, it has engaged news teams, and writers can easily assess their own performance--it is not just a management tool. This wider take-up makes it more likely that we would renew.
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.
Seems to be more bugs than I encounter in Google Analytics, but Parse.ly is always very quick to answer my questions or fix something. It seems like most of my issues are due to communications around my requests being outside of the package we pay for with this tool (i.e., only two years of data).
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 excels in providing detailed insights into how users are interacting with specific pieces of content, allowing us to make data-driven decisions about content strategy and optimization. Its real-time reporting also provides us with immediate feedback on the effectiveness of content changes, which is particularly important for content-heavy sites that need to iterate quickly.
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.
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.
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.