Google Analytics and Heap are two well-known analytics tools. They help you track, collect, and analyze different metrics about your website, provide insights into your online presence, and create strategies directed at the behavior of your user segments.
Even though these two products look similar, they have some fundamental differences. While Google Analytics focuses on pageviews, Heap mainly tracks event-based data. Another difference is the information they provide about customers: Google Analytics tracks “who” while Heap tracks the “what” of the customer journey.
Before making a decision between these two analytics tools, you need to compare the metrics, features, integrations, etc. they offer and choose accordingly. This article will help you make a better decision by comparing these two tools in detail.
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What is Heap?
Heap is a no-code product analytics tool founded in 2013 by Ravi Parikh and Matin Movassate. Heap product analytics aims to create a better and stronger online presence for its customers of all sizes and increase customer engagement. It tracks, collects, and analyzes data about the customer journey and your customers’ characteristics and habits. They started their journey with the motto of “capturing everything” as Heap is a no-code tool that tracks every action.
Rather than only looking at the big picture, Heap focuses on tracking every action taken by your customers. This helps you collect data according to your needs and preferences and see the emerging patterns of your customers.
Another great advantage of Heap is that you don’t need to have coding knowledge to retroactively track data from day one. By automatically collecting data and organizing it into useful reports, Heap helps you strategize data-driven plans and speeds up the decision-making process.
What is Google Analytics?
Google Analytics (GA) is a well-known web analytics platform offered by Google. It tracks and analyzes different marketing metrics (bounce rate, conversion rate, etc.) and provides you with valuable information about your product. So, if you want to track events on your web page with an analytics tool, GA is one of the most popular options on the market.
Google Analytics was released in November 2005, and the basis of the platform leaned on Urchin, a web analytics software that was acquired by Google at the beginning of 2005. Google Analytics started its journey aiming to make web analytics accessible and convenient for its customers. Because it is one of the most comprehensive and free analytics tools on the market, it quickly became a powerful player.
Google Analytics focuses on pageview data, meaning it tracks specific routes and end-points your users are taking throughout their visit to your website. This feature allows you to see various sources of traffic attribution, and specific information about your customers’ habits, and user journeys and helps you to make data-driven decisions for the future.
Google Analytics always aims to provide you with useful information to optimize your online performance. Therefore, it collects and analyzes data in four different categories: the session level, event level, pageview level, and user level. Google Analytics combines these four into one and presents you with holistic reports.
Differences between Heap and Google Analytics
Google Analytics is a page view-based tool, so it can only track metrics about page views. Though it’s mostly limited to page-based analytics, the features that GA offers are pretty useful. One of these features is form tracking, which tracks the channel and term that led customers to form submissions on your page. Analyzing these touchpoints helps you increase the interactions with your CTAs and may increase your sign-up rate.
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There are default, pre-set events available, though they are pretty basic and you’ll likely need custom events, which you’ll need to implement yourself. To do this, you’ll need to add snippets of custom-written code to the items that you want to track. If you’re a beginner at using analytics products, this process may be challenging, and you may want to opt-out to a no-code Google Analytics alternative like HockeyStack instead.
Heap, on the other hand, supports retroactive automatic event tracking which is a trait of plenty of analytics and attribution tools including HockeyStack. With Heap, you can track and analyze every type of user event such as clicks, taps, swipes, etc. without having to manually tag a user behavior as you’d have to with GA.
Heap also provides insight into events by showing where people encounter friction in the customer journey. This is different than GA, which only tracks events without getting into detail. You can also perform funnel analysis and create user segments while tracking events. However, some features that GA offers, such as the tracking feature that analyzed form submissions, aren’t available on Heap.
Google Analytics can measure and analyze your brand’s social media presence in just a few clicks. Because it is a social platform, which offers different integrations to track your social media accounts, you can easily get insights into the exposure your accounts get.
On the other hand, Heap does not focus on social media as much as GA does. This product’s focus is more on product analytics and less on revenue/marketing attribution. So, if you want to see the contribution of Instagram to your MRR, for example, you should look for a Heap alternative.
Google Analytics is not the easiest tool to learn: It has a steep learning curve particularly owing to the complicated options. Even though it is not hard to adapt to this tool, it is more complex than Heap and there’s less support available. You also need to set some actions manually and do custom development.
Google Analytics gives an overview of your customer base and its patterns, but it doesn’t show each user’s journey by default. You can set up the User ID reporting feature, which will show you the access patterns, most visited pages, and repeating behavior of individual customers, though you won’t have access to personal data (which makes reaching a specific customer after viewing their customer journey almost impossible.)
However, Heap can display an individual user’s journey as well as an overview of your whole customer base. With Heap, you can see behavioral patterns of user segments or individual users. Heap also offers a feature called “Effort Analysis,” which combines the time spent on page, engagement, and interactions on your product or page to track the amount of effort customers have to put in during their journeys. So, you can both track and optimize user journeys with Heap, unlike GA.
Similarities between Heap and Google Analytics
Both analytics tools offer similar kinds of features. There is an extensive set of features according to the metrics you want to track or data you want to collect. You can also access actionable data, set custom goals, perform funnel analysis, and create reports with both tools. Both enable user journey tracking to some extent.
Since both of the tools are heavy on features, sometimes it is hard to understand and learn the products.
While the interfaces of both tools are quite different, both tools require a lot of time and effort to learn all the features and tools. This results in a steep learning curve, which is not ideal if you want to use the tool as soon as possible. This learning curve should be a determining factor in your decision-making since this means spending time integrating your this new tool into your business. It’s often better to choose a product analytics tool like HockeyStack that’s easy to set up and has a drag and drop interface so that you don’t spend time switching products.
Data visualization is an important part of every reporting tool. Luckily for you, both tools offer a variety of visuals and graphs to support their reports, and the reports they provide are simple and convenient. It is easy to discern useful information about user behavior, which will help you make plans for the future and assess your weaknesses and strengths. Similarly, the graphs on the reports help you to see different statistics easily and compare different metrics.
Heap offers four different pricing plans according to the scale of your business: Free, Growth, Pro, and Premier. While the most basic plan is free, Heap also offers a free trial for Growth and Pro plans. Since each pricing plan is custom-made, you can contact a sales representative to tailor-made a plan just for your own needs.
Google Analytics only offers two price plans: Google Analytics and Google Analytics 360. The paid version, Google Analytics 360, is far more comprehensive than the free plan, and the costs start from $150,000/year, increasing based on the features and capabilities you need. So, if you’re a smaller company that wants to integrate all customer data from multiple touchpoints for a holistic view or you want to see your product, revenue, and marketing data in tandem, you can check out Google Analytics alternatives such as HockeyStack.
Even though both platforms offer a free plan, Google Analytics proves to be a far better choice because of the extent of its capabilities. On the other hand, because Heap offers four different price plans, you can find the best one according to your needs without spending a lot of money. More advanced versions of both Heap and Google Analytics are custom-made, so you cannot access a predicted cost, which is a disadvantage for both of the tools. Because Google Analytics includes more features without a cost, it is widely used in the market.
For web analytics tools, it is very important to have an extensive and versatile list of integrations. Integrations allow users to consolidate data from various platforms without expending any additional time or effort. Therefore, when you’re choosing a tool for analytics, it’s essential to take a look at the platforms they support.
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Heap provides many different integrations sectioned in different categories: Attribution platform, CRM, Customer Data Platform, Customer Success, Data Warehouses (Heap Connect), Email Marketing, Marketing Automation, Payments, Pipelines, Session Replay, SSO (Single Sign-On), Testing & Personalization, User Guides, and Other.
The most popular integrations:
Other notable integrations:
- Single Sign- On: Google Apps
- Oracle Maxymiser
One of the huge advantages of Google Analytics over its competitors is that it offers complete integration with almost all of the Google platforms. Other than providing integration with Google-based products, GA also has a comprehensive list of other integrations.
Powerful Google Analytics integrations:
- DoubleClick Campaign Manager
Other notable integrations:
- Wix Zoho
Looking at both analytics tools, you can see some similarities as well as some distinctive differences. Even though Heap offers some well-known and useful integrations, the integrations of Google Analytics are much more extensive and versatile. Google Analytics can integrate with many products from different fields, which can help you a lot according to your needs and preferences. If you are going to choose Heap, you need to be careful about whether the integrations you need are available or not.
“If you’re starting a new product, go for it. If you’re switching from an existing analytics tool, definitely sit down and think about how your processes will change as a result.”
“Customizable overviews of metrics combined with comprehensive reports give our company a detailed overview of user data and usage in as broad or as defined of a scope as we needed according to our project goals.”
“We were able to use Heap to create retroactive analytics segments to find our target audience.”
“You can track everything from gender and location to the keywords being used to find your page. I also love how easy it is to use.”
“If you know what you are doing, it’s a great tool. Otherwise, be prepared to learn.”
“We embed Google Analytics in clients’ websites before deploying them. It gives them a simple overview of the paid/organic/direct traffic.”
Top Factors to Consider When Settling the Heap vs. Google Analytics Debate
Here are the tops factors that you should consider when deciding between Heap and Google Analytics for your company.
Before deciding on Heap or Google Analytics, you need to make sure whether your product will get more benefits from a page view-based tool or an event-based tool. If you want to track and collect specific details about your page views, you should consider Google Analytics. However, if you want to dive deeper into the actions your customers are taking, you can benefit from Heap or a similar tool such as Hockeystack which can track each event with great accuracy. At the end of the day, you need to be certain of your needs and understand what you need from your analytics tool.
Both analytics tools offer free and paid plans. While Google Analytics has a great variety of features, metrics, and tools in its free version, Heap’s free plan is quite limited. However, if you are a middle-sized company, you may need some extra features. If you choose Google Analytics 360, you may spend money on features you don’t need. Therefore, Heap ‘s pricing is a better alternative in this situation.
Google Analytics’ list of integrations gives a huge advantage over its competitors. It can integrate both with Google products and other platforms. On the other hand, even though the integration list of Heap is much shorter than Google Analytics, it has most of the common and useful integrations. Before deciding, you need to make sure that the integrations you need are available on any of the analytics tools.
If you are working at a SaaS company, then product engagement is integral to your company’s success. Heap is much better at product analytics than Google Analytics is, which helps you increase net dollar retention rate and decrease your churn rate.
Heap and Google Analytics are both good web/product analytics tools to choose from. If you want to track events, Heap can be a better tool. On the other hand, if you want to focus on details about pageviews, Google Analytics is the choice for you. That said, it’s important to look beyond this and go through the features, integrations, and pricing of each before making a decision.
In the end, both tools have similar functionality in terms of collecting and unifying data. However, if you’re looking for a no-code tool that you can use for web analytics, customer engagement, and unifying departmental data, HockeyStack is a great option for you. In addition to creating customized dashboards from a drag-and-drop designer, Hockeystack can help you gain greater insight into customer behavior, allowing you to enhance the customer experience for increased revenue.
Complete with integrations to popular sales and marketing tools and ready-to-use templates, HockeyStack simplifies analytics, allowing business users to take full control of their data for accurate decision-making.
At the end of the day though, it is very important that you are considering your needs and preferences to choose the best web analytics tool because both of these tools have been designed for specific reasons and aim to solve different problems.
Is Heap free?
Yes and no. It offers a free plan, which is the most basic version of Heap. However, if you want to access more features and tools, you need to buy one of three plans: Growth, Pro, and Premier. These plans offer different features according to your business’s scale and your preferences. Each of the plans is tailor-made specifically to your needs; therefore, there is no set price. You need to contact a sales representative for further information.
Where does Heap store data?
Heap stores data in its warehouses, which are managed by Heap Connect. You can easily and seamlessly bring user data into warehouses and manage them automatically. In addition, these warehouses collect and store data retroactively, meaning that you have access to any type of data from day one. This helps you to organize your past data and control your future data.
If you want to track and collect specific details about your page views, you should consider Google Analytics. However, if you want to dive deeper into the actions your customers are taking, you can benefit from Heap or a similar tool such as Hockeystack which can track each event with great accuracy.Is Heap better than Google Analytics? ›
Why Choose Heap over Google Analytics? Don't settle for web traffic metrics and non-actionable KPIs. Only Heap gets you to the root cause of your customers' behavior with unparalleled cross-platform data capture, automated data science, ad hoc behavioral analysis modules, and native session replay.What is the alternative to Google Analytics 2022? ›
- Piwik PRO.
What is the most popular Google Analytics alternative? While Google Analytics' tracking code is installed on roughly 36 million websites, popular alternative tools like Hotjar, Matomo, and Clicky are used on around 1 million websites each.What is better than Google Analytics? ›
Piwik PRO Analytics Suite (PPAS) is a privacy-friendly alternative to Google Analytics. It's ideal for sectors that handle sensitive customer data like government, healthcare, or finance.Is heapsort the best algorithm? ›
Summary. Heapsort is an efficient, unstable sorting algorithm with an average, best-case, and worst-case time complexity of O(n log n). Heapsort is significantly slower than Quicksort and Merge Sort, so Heapsort is less commonly encountered in practice.What are the disadvantages of heap analytics? ›
Disadvantages: Heap Sort is considered unstable, expensive, and not very efficient when working with highly complex data.Why not to use Google Analytics? ›
On July 1, 2023, standard Universal Analytics properties will stop processing data. We strongly encourage you to make the switch to Google Analytics 4 as soon as possible. 360 Universal Analytics properties with a current order will receive a one-time processing extension ending on July 1, 2024.Who is Google's number one competitor? ›
Google's Competitors: Search
The second largest search engine, and the main competitor to Google, is Microsoft's Bing with 8.2%, followed by Yahoo! with 2.8%. Internet pioneer and media company AOL is also considered to be Google's competitor.
- Google Competitors in Advertising Industry. Facebook. Amazon.
- Google Search Competitors. Yahoo. Bing. DuckDuckGo. Baidu. Yandex.
- Google Competitors in Smartphone Industry. Apple. Google Vs Apple. Samsung. Huawei.
- Google Competitors in Cloud Computing. Amazon Web Services. Microsoft Azure.
- Predictive data analytics. Predictive analytics may be the most commonly used category of data analytics. ...
- Prescriptive data analytics. ...
- Diagnostic data analytics. ...
- Descriptive data analytics.
Heap collects data from every part of your website and collates it into easy-to-grasp data analysis with the help of line graphs and funnels. Heap focuses on customer engagement and activity, highlighting areas in the customer's journey that are not-so-smooth - actionable insights that every brand must own.What is the most popular type of analytics? ›
90% of organizations today use descriptive analytics, the most basic form of analytics.Why not use heap sort? ›
Heap sort is not stable because operations in the heap can change the relative order of equivalent keys. The binary heap can be represented using array-based methods to reduce space and memory usage. Heap sort is an in-place algorithm, where inputs are overwritten using no extra data structures at runtime.Is heap sort the fastest? ›
Slow in practice.
While the asymptotic complexity of heap sort makes it look faster than quicksort, in real systems heap sort is often slower. (Remember, n and 2 n 2n 2n are both O ( n ) O(n) O(n), even though the first is twice as fast as the second.
Heapsort has a worst case running time of O(n log n) just like mergesort and it has the storage efficiency of quicksort. Like selectionsort, heapsort is an interchange sorting-algorithm that works by repeatedly interchanging pairs of array elements.Why is heap the best? ›
A heap is a useful data structure when it is necessary to repeatedly remove the object with the highest (or lowest) priority, or when insertions need to be interspersed with removals of the root node. A common implementation of a heap is the binary heap, in which the tree is a binary tree (see figure).Why should I use a heap? ›
Heaps are used when the highest or lowest order/priority element needs to be removed. They allow quick access to this item in O(1) time. One use of a heap is to implement a priority queue. Binary heaps are usually implemented using arrays, which save overhead cost of storing pointers to child nodes.
Advantages of Heap
Heap assists you in determining the greatest and smallest number. Garbage collection is a process that runs on heap memory to free up the memory used by the object. The heap method is also employed in the Priority Queue. It gives you global access to variables.
Google Analytics is really good at telling you how many times something happened (quantitative data), but it doesn't really tell you why something happened (qualitative data). For example, GA might tell you that 10 people visited a certain page and then moved on to the next page.What can Google Analytics not track? ›
It does not track people or profile people across the internet. Google Analytics cannot be used to track people across the web or apps. It does not create user profiles. Google Analytics helps owners of apps and websites understand how their users are engaging with their sites and apps (and only their site or app).Why is Google Analytics the best tool? ›
It allows you to easily analyze page view, session and bounce rate for multiple websites. Google Analytics provides a great overview with bar charts and graphs to know the number of user visits, their engagement, geographic area, etc. It can be integrated with Google Console and Adword tool easily to manage data.How far behind is Google Analytics? ›
The 24-48 hour delay for data to show up in Google Analytics is due to the time to process the collected data.Is Google Analytics 100% accurate? ›
The short answer is Yes! Google Analytics is a reliable tool that gives accurate results in most cases. However, it's not 100% accurate because of some glitches and problems. The following are six common errors that may cause the data from GA not to be accurate and some suggestions for fixing them.How often should you use Google Analytics? ›
Depending on the amount of traffic you get and how often you share content, you might want to check your analytics daily or only once or twice a week. Whatever schedule you decide on, it's important that you adhere to it.What replaced Google now? ›
After the flop of Google Now on Tap, the company pulled back on the "Google Now" branding. Today, Google Now is officially being relaunched as the Google feed(Opens in a new window). It looks the same on the surface, but there are a few important tweaks. The feed is accessible in the Google app on Android and iOS.What is the next big thing for Google? ›
Google's Next Big Thing: A Game-Changing Search Engine coming soon. Google is currently developing an all-new search engine powered by its latest AI technology. Meanwhile, the company is also working on adding AI-based features to its existing search engine under the project name Magi.Is there anything better than Google? ›
DuckDuckGo partners with a variety of sources to deliver search results, and it also relies on its crawler to index the web. Even though the results might not always be on par with those Google would deliver, DuckDuckGo is still a great place for finding the things you need – even if they're a coffee shop near you.
DuckDuckGo is the perfect choice if privacy is your top browsing concern. Like Google, DuckDuckGo offers their own mobile & desktop browsers. By default, this browser doesn't collect or store any personal information at all.What is better than Google? ›
- Bing. Bing search engine. Microsoft's Bing is the second largest search engine after Google. ...
- DuckDuckGo. DuckDuckGo search engine. ...
- 3. Yahoo! Yahoo search engine. ...
- Ask. Ask search engine. ...
- Baidu. Baidu search engine. ...
- Brave. Brave search engine. ...
- WolframAlpha. WolframAlpha search engine. ...
- Boardreader. Boardreader search engine.
(RTTNews) - Alphabet Inc. (GOOGL, GOOG), the parent company of search giant Google, has surpassed retail giant Amazon Inc. (AMZN) on a market-capitalization basis. Last Friday, Amazon closed at $1.616 trillion at the bell, Google's market capitalization was $1.622 trillion.Who is bigger Amazon or Google? ›
As of April 2023, Alphabet was the biggest internet company worldwide with a market cap of over 1.3 trillion U.S. dollars Second-ranked Amazon had a market capitalization of 1,053 billion U.S. dollars.Why is Google better than its competitors? ›
The more that Google learns about its users through their searches, the better its targeting ability becomes. These are both huge advantages that appear difficult for any competitor to overcome. As of June 2021, Google's market share in Internet search stands at 92.5%.Which website is competing with Google? ›
google.com's top 5 competitors in April 2023 are: facebook.com, bing.com, twitter.com, instagram.com, and more.Which is the most powerful search engine? ›
The Best Search Engine in The World: Google.What are the 5 big data analytics? ›
Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.What are the four 4 types of analysis? ›
Modern analytics tend to fall in four distinct categories: descriptive, diagnostic, predictive, and prescriptive.Which is the best platform for data analytics? ›
- Microsoft Power BI Desktop.
- Amazon QuickSight.
- SAS Visual Analytics.
- IBM Netezza Performance Server.
- Qlik Sense.
Amway cultivates a data-driven culture using Heap
By removing the friction, Heap enables Amway analysts to make data-informed decisions based on insights surfaced in just a few clicks.
Matin Movassate - Founder & Chairman - Heap | LinkedIn.Which is the best heap analyzer? ›
Eclipse Memory Analyzer Tool (MAT) is by far the best tool to analyze Java Heap Dumps. A heap dump is a snapshot of the heap memory of a Java process at a given time. The snapshot mainly consists of Java objects and classes. Let's go through some of the basic concepts of Java heap dump analysis with MAT.What are the 3 types of analytics that are currently being used in business today? ›
There are three types of analytics that businesses use to drive their decision making; descriptive analytics, which tell us what has already happened; predictive analytics, which show us what could happen, and finally, prescriptive analytics, which inform us what should happen in the future.Which analytics is most difficult to perform? ›
This is the most difficult level to achieve. The reliability of Prescriptive Analytics depends heavily on the accuracy of the three levels of the analytics below.
Google Analytics 4
Heap offers automated templates and playbooks, and the ability to share any query or dashboard with other users via a unique URL, so other users can edit without changing the original query. GA4 offers collaboration features like sharing chart links or sharing via email.
- The Heap Sort algorithm exhibits consistent performance. ...
- The Heap Sort algorithm is very efficient. ...
- Memory usage is minimal. ...
- The Heap Sort algorithm is simpler to understand than other equally efficient sorting algorithms, because it does not use recursion.
Stack memory size is very less when compared to Heap memory. Because of simplicity in memory allocation (LIFO), stack memory is very fast when compared to heap memory.When would you use heap? ›
Heaps are used when the highest or lowest order/priority element needs to be removed. They allow quick access to this item in O(1) time. One use of a heap is to implement a priority queue. Binary heaps are usually implemented using arrays, which save overhead cost of storing pointers to child nodes.Is heap access slower? ›
Heap memory is slightly slower to be read from and written to, because one has to use pointers to access memory on the heap. We will talk about pointers shortly. Unlike the stack, variables created on the heap are accessible by any function, anywhere in your program.
- A "shape property" (that is, it's a complete binary tree)
- An "order property" (the value in a node is "optimal" with respect to the values in all nodes below it)
Google Analytics 4 is our next-generation measurement solution, and it's replacing Universal Analytics. On July 1, 2023, standard Universal Analytics properties will stop processing data. We strongly encourage you to make the switch to Google Analytics 4 as soon as possible.Why GA4 is better than GA? ›
In the case of GA4, both the web and app data use the same schema. Whereas in the case of GA3, this is not the case. Because of this reason, GA4 provides much more robust and reliable cross-device and cross-platform tracking than GA3.What are the advantages of switching to GA4 from old Google Analytics versions? ›
- Collects both website and app data to better understand the customer journey.
- Uses event-based data instead of session-based.
- Includes privacy controls such as cookieless measurement, and behavioral and conversion modeling.
The advantages of heap memory are: Lifetime. Because the programmer now controls exactly when memory is allocated, it is possible to build a data structure in memory, and return that data structure to the caller. This was never possible with local memory, which was automatically deallocated when the function exited.Is heap better than stack? ›
The access time in stack is faster. The access time in heap is slower. The size of the stack memory is decided by the operating system. The size of the heap memory is decided by the programmers.Why is heap better than array? ›
Sorting an array has a very high time complexity; heap operations are so cheap that they are actually used for a decent sorting implementation. Using a heap to find the smallest element is definitely a lot faster than sorting an array.Is heap safer than stack? ›
When you construct an object, it is always in Heap-space, and the referencing information for these objects is always saved in Stack-memory. Because the data stored in this region is available or visible to all threads, heap memory allocation is not as safe as stack memory allocation.Why are heap allocations bad? ›
Allocating space on the heap is not so bad but it's easier to forget to deallocate the space and subsequently lose the handle. This creates wasted space and can badly fragment the heap, causing it to become unusable.What is the main difference between stack and heap? ›
The major difference between Stack memory and heap memory is that the stack is used to store the order of method execution and local variables while the heap memory stores the objects and it uses dynamic memory allocation and deallocation.