To help advertisers understand how their marketing performs across media such as search, display, video, and audio, Amazon Advertising is introducing Amazon Marketing Cloud (AMC)—a holistic measurement and analytics solution currently in beta for eligible advertisers. AMC is built on Amazon Web Services (AWS).
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Parse.ly
Score 7.8 out of 10
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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.
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Pricing
Amazon Marketing Cloud
Parse.ly
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon Marketing Cloud
Parse.ly
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
Additional Details
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More Pricing Information
Community Pulse
Amazon Marketing Cloud
Parse.ly
Considered Both Products
Amazon Marketing Cloud
Verified User
Anonymous
Chose Amazon Marketing Cloud
I have compared Google Ads Data Hub and Meta's Advanced Analytics with Amazon Marketing Cloud. Amazon Marketing Cloud is most notable for its insights into the deep Amazon ecosystem, Google for cross-platform tracking, and Meta for extensive social engagement analysis. AMC's …
Since I haven't used other marketing analytics software, Amazon Marketing Cloud might seem like the standard. While it provides deep insights, its usability could be improved with simpler dashboards, automation, and real-time data. Comparing it with other tools in the future …
When we thought of having snowflake, We came up with differnt infra requirements which we again should go with IaaS part in AWS. We got Amazon Marketing Cloud bundle with infra requirements whcih is easy to mange and cost effective when compared with other product. Also we felt …
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 …
If you notice that a certain ad is performing well during a flash sale and want to increase the budget immediately, Amazon Marketing Cloud won’t provide real-time data. You’ll have to use Amazon Ads Manager instead. Example is that with me client has a low ad budget or a small number of customers, Amazon Marketing Cloud might not provide enough data to give you meaningful trends or recommendations. If you find a group of high-value customers using Amazon Marketing Cloud, you can’t just click a button to target them directly in Amazon DSP. Instead, you have to manually export the data and upload it elsewhere.
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.
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.
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.
likely because while it offers powerful insights, it has challenges in ease of use. Amazon Marketing Cloud requires SQL knowledge for queries, making it difficult for non-technical users. Unlike traditional marketing tools with simple dashboards, Amazon Marketing Cloud demands manual data extraction and analysis, slowing down decision-making. Another usability challenge is the lack of real-time data, which makes it hard to optimize campaigns instantly. If you want to adjust ad spend based on immediate performance, Amazon Marketing Cloud’s batch processing delays insights. Additionally, there’s no direct audience activation, meaning you have to export data manually instead of seamlessly applying insights within Amazon DSP. However, Amazon Marketing Cloud is highly valuable for in-depth analysis, audience segmentation, and attribution modeling. With better user-friendly features like pre-built reports, automation, and real-time analytics, usability could improve significantly, making it easier for businesses to maximize its potential.
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).
I have compared Google Ads Data Hub and Meta's Advanced Analytics with Amazon Marketing Cloud. Amazon Marketing Cloud is most notable for its insights into the deep Amazon ecosystem, Google for cross-platform tracking, and Meta for extensive social engagement analysis. AMC's privacy-safe query-based model is powerful but SQL-skilled, in contrast to Google's more accessible UI.
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.
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.