You want to know if your website is contributing to your business the best that it can. And if it’s not, you need to know where you can improve it.
Enter web analytics tools.
Web analytics tools can help you find the answer to nearly any question you have about your website or customers. But there are a lot of tools to choose from today, and they’re all very tempting. And while you will probably need more than one, you may not need as many as you think. It can be tricky to nail down which ones you need the most.
So let’s take a look together at all the major types of web analytics tools, some popular examples, and how to know when you need them.
- Content analytics tools
- Customer analytics tools
- Usability (UX) analytics tools
- A/B and multivariate testing tools
- Social media analytics tools
- SEO analytics tools
- General enterprise analytics tools
- Open source web analytics tools
- Product analytics tools
What web analytics tools do
Web analytics tools collect data to show you how visitors arrive at your website and what they do once they’re there. These tools let you compare data over time to see patterns. This data also lets you measure performance against benchmarks and goals to see how your website is performing, where performance can be improved, and the effects of the actions you take to improve it.
Some of the things that website analytics tools can tell you include:
- How do people find your site? What do they do after they get there?
- Which content on your site do people engage with? When and how are they engaging with it?
- Why do some people buy and others don’t? How can you get more of them to take action?
Some analytics programs also include data from social media and mobile apps, overlapping with the broader category of digital analytics.
Google Analytics — the most popular web analytics tool
Many businesses start with Google Analytics. It’s the most popular solution for web analytics. Over 29 million websites use it. It’s free and robust enough for many small businesses. Using Google Analytics, you can understand which channels bring you website traffic and see metrics like pageviews, unique pageviews, average time on page, and bounce rate.
But there is no one tool that can measure everything you want to know. Businesses often use a combination of supplementary tools on top of one primary tool.
When do you need more than Google Analytics?
Google Analytics is a powerful tool, but it’s not always easy to get answers from it. As your digital marketing strategies become more sophisticated, you may need to find tools that make detailed information easier to access.
When you need data to be packaged differently
Google Analytics also gives little insight into true engagement with your website. Bounce rate and time-on-page metrics don’t tell the real story because of how Google Analytics collects the data. For example, a reader is counted as a bounce, whether they spend 15 seconds or two minutes on a page. And time on site is not recorded for people who only visit one page on your site, which can be up to 70% of your visitors.
Social media traffic is also difficult to understand in Google Analytics. It’s often lumped into the direct traffic category. And there’s no way to see which social posts or users are bringing in web traffic.
When you want an analytics program that everyone can easily understand
Google Analytics is also hard to use for those without deep technical expertise. Users, such as writers on your content team, avoid it even when they can benefit from understanding performance data. Online publisher Slate realized this when it wanted to get everyone on its team aligned around the goal of engaging readers to build a loyal audience. To do this, it needed audience data to be more accessible to product managers, journalists, and analysts. Its answer was to use a dedicated content analytics platform, Parse.ly.
When you want data that Google Analytics just doesn’t offer
In addition, there are going to be times when you want more information about your users than Google Analytics can offer. There are other types of web analytics software tools that will be much more suitable for things like running tests and getting to know your users and how they use your website or app.
Here are nine types of web analytics tools and when they come in handy.
1. Content analytics tools
Content marketing teams are catching onto what media publishers have known for years: if you’re publishing a lot of content, you’d better have a good measurement system in place. Given how difficult it can be for content-oriented people to wade through tools like Google Analytics, it’s no surprise then that content analytics has emerged as a new category of web analytics tools.
These tools help content teams measure how various audiences consume and share their content. The resulting data lets them understand how to better engage their readers and stimulate conversions.
Parse.ly is a platform designed specifically for measuring the performance of content. It offers an alternative to general-purpose web analytics tools for content teams to find valuable insights that help them make decisions. Content teams can see real-time and historical data in a central dashboard, and they can easily sort and filter it by type, author, channel, source, and more. Everyone on the content team, from directors to editors to writers, can use it easily.
Parse.ly’s approach to measuring content deviates from the generalized approach, which relies heavily on metrics like bounce rate. Instead, it measures engaged time via a ‘heartbeat’ to produce a metric called engaged minutes. This measures continuous engaged time even across videos and interactive content, which is conspicuously missing from most tools like Google Analytics.
Parse.ly also pulls in data from external channels like social media (Facebook, Twitter, LinkedIn, Pinterest, Reddit, Instagram), search engines (Google, Bing, Yahoo!, Yandex), and platforms like web, mobile, Apple News, Facebook Instant Articles, Google AMP, SmartNews, iOS, and Android apps to give a comprehensive picture of content performance.
One of the add-ons available from Parse.ly shows conversions and attributions for actions, such as newsletter signups, subscriptions, registrations, lead captures, and ecommerce sales. See more resources and how to get started with content analytics.
2. Customer analytics tools
Customer analytics tools go deeper into customer behavior than other general web analytics tools. These tools pull in customer data from various mediums like web, mobile, email, and your product. You can create segments based on behavioral patterns, then predict and offer the products and services those distinct groups of customers might buy.
Kissmetrics excels in customer data for ecommerce and SaaS companies. Both product and marketing teams can benefit from data on power users and other cohorts, insights into which features are most popular, and where your best customers come from. It helps identify groups of customers who spend more and make repeat purchases, as well as the products and offers they respond to.
Kissmetrics includes advanced business intelligence (BI) reporting with the ability to query the raw data directly with SQL. The company has helped over 10,000 companies with $10 billion in transaction volume. Learn how Kissmetrics differs from Google Analytics.
Woopra is a less pricey alternative that shows what customers do between the time they hear of you, visit your site, and leave or take another action. It creates profiles for each individual visitor, taking into account the activity on your website, email, social, paid media, sales, technical support, help desk, and video, as well as engagement with your product. This is useful for marketing, sales, and product teams.
The tool also automatically deploys changes on your site based on triggers to help nudge customers along. Custom scripts let you display discount messages or newsletter opt-ins based on actions by the customer that you set as triggers. Learn more on the Woopra blog and see what it takes to get started.
3. Usability (UX) analytics tools
Usability analytics tools are specialized tools that let businesses analyze what users do on a page. They record how people interact with the page and its elements, so an online marketing or product team can evaluate how different features are received. With these insights, businesses can then make changes to the page or user interface and see how those changes play out by measuring user behavior.
Crazy Egg focuses entirely on measuring how users navigate your website and landing pages. It’s especially handy for optimizing conversion rates on pages where you want users to take action. It offers several technologies to help you understand how users are navigating your website, including heatmaps, scrollmaps, click reports, and user session recordings.
Crazy Egg also offers A/B testing, so you can compare heatmaps and data before and after changes on your web pages, for example. Check out the Crazy Egg blog and documentation for getting started.
Hotjar gives you the option to collect actionable feedback from users in addition to data from heatmaps and visitor data recordings. You can use polls, surveys, and live feedback chat to query people on your website. This adds a qualitative dimension to the UX data you can collect, which is typically missing from other usability web analytics.
Hotjar does not offer A/B testing like Crazy Egg does, but you can monitor pre-existing A/B tests. That means Hotjar could work for you if you already use a different tool that offers A/B testing. Check out its resources page and what you need to get started.
4. A/B and multivariate testing tools
You can run the occasional simple A/B test using a general web analytics tool. But if you plan to test and optimize elements of your website regularly, you will benefit from a dedicated testing tool. And if you plan to run multivariate testing, which tests multiple variables on a page at once, you’ll definitely need a tool like one of the following to accurately interpret results.
Optimizely offers testing analytics software to help businesses experiment and continuously improve their products and websites. It’s used by engineers, product managers, marketers, and data scientists and also has a reputation for catering to software developers more than the other tools in this class. That said, reviewers say that it’s simple to set up tests even with no technical know-how.
This tool is the way to go if you are already using the Adobe marketing stack and you want the best tool to integrate with Adobe Analytics. And it offers a very comprehensive list of capabilities. Adobe Target lets you build tests across other digital channels in addition to your website and app, including mobile and email.
5. Social media analytics tools
Social web analytics tools are important for businesses focused on growing audiences and engagement on social media. While other tools may offer some features to help with this — for example, Parse.ly includes social media data for your content — you will need a dedicated tool if your business depends heavily on social media engagement. Some social analytics tools provide analysis only, while others let you manage your posts, too.
Sprout Social is an all-in-one social media management platform. You can use it to schedule and publish social media posts and monitor campaign performance. Keep your eye on keywords and hashtags, analyze your follower base, and even track paid marketing campaigns using the tool’s key features.
Sprout Social lets you compare your performance on social media to that of your competitors. Its social media analytics surface insights on both the industry and the brand level, which you can apply to your product and business strategy. See more resources and how to get started.
BuzzSumo is a social media research tool. It helps you analyze content to see what’s gaining buzz in your industry. It shows what content readers respond to on social media, including what competitors are doing. BuzzSumo is useful to dig up topics in your industry, see whose content is most popular, and find targets for backlink and influencer outreach efforts.
6. SEO analytics tools
If you use search engine optimization to attract traffic from search engines, you most certainly need a specialized SEO tool in your web analytics tool stack. These tools provide data on keywords to point out new opportunities to gain traffic. They also give you data on backlinks pointing to a website. This is key because the number and quality of links pointing to a website are an important ranking factor for Google.
Ahrefs is a popular SEO analytics tool that offers both keyword research and backlink analysis, though backlink analysis is Ahrefs’ bread and butter feature. With the Ahrefs tool, you can see information about links pointing to any website. This includes data like the number of links over time, the quality of those links, and exactly which pages on a website link to yours. With this information, the SEO team can work to improve the website’s backlink profile.
Alexa, owned by Amazon and best known for its Alexa Rank metric, combines competitor intelligence with SEO and website analytics. Alexa’s suite of tools includes backlink research, keyword research, site audits, and brand strength metrics. It also provides a unique feature where it shows you the likelihood that your site can rank for any given keyword, which is a great help when determining target keyword priorities.
Alexa particularly excels at competitor research and target audience analysis in the context of SEO. It gives a snapshot of related websites in an industry and then lets the user drill down to analyze websites by traffic sources, bounce rate, social engagement, backlinks, and keywords, among other factors. Check out Alexa tutorials and read more in the Alexa blog.
7. General enterprise analytics tools
Those businesses that deal with large amounts of data face unique challenges and thus need tools designed to handle them. Enterprise-level web analytics tools are solutions designed especially for businesses with massive amounts of data — visitors that number in the hundreds of thousands or millions per month. At that point, you start to face challenges in separating the valuable data from the noise, data inaccuracies, and sampling errors and gaining the insights you need in a timely manner.
Parse.ly is an enterprise-level content analytics platform built for large content teams. But depending on the other activities your teams engage in, you may want to supplement it with a general enterprise analytics tool like the following.
Google Analytics 360
Google Analytics 360 is the premium version of Google Analytics. It includes advanced features that are suited to websites that deal with large numbers of users. This includes unsampled analytics data, meaning that, unlike regular Google Analytics, reports are all based on actual data rather than samples of data for greater accuracy. This enterprise-level web analytics tool integrates with other Google platforms, like Google Ads, as well as other third-party tools, like the Salesforce Marketing Cloud. This opens up opportunities for campaign insights and remarketing.
Google Analytics 360 also offers advanced attribution modeling, which means a marketing team can use a more sophisticated way to measure the impact of various channels and touchpoints that lead up to a conversion. Learn more about Google Analytics 360.
Adobe also offers an enterprise-level web analytics suite of tools. This solution is particularly useful for organizations that use Adobe Cloud and Adobe Target because it integrates easily with tools in the Adobe suite. Fans say that its drag-and-drop reporting interface is easy to use. Similar to Google Analytics 360, Adobe Analytics can handle large volumes of data with no data sampling. But it also goes beyond the website-only focus of Google Analytics 360.
The platform also incorporates Adobe Sensei, which brings some benefits like a reduced time to discover statistically valid segments of customers. Data can be ‘activated’ into marketing workflows, meaning the platform can deploy audience segmentation, content optimization, and personalize the experience for the website visitor. The platform also allows broad data collection, even outside Adobe properties. Read more on Adobe Analytics resources and see what you need to get started.
8. Open source web analytics tools
Open source web analytics tools give you more freedom and control over your data than cloud-hosted solutions like those above. Your IT team can use and modify the source code to build your own customized in-house software, so you can store and analyze data how you prefer. This type of software is all on-premise because you will store it — and all the data in it — on your own servers. You are then responsible for maintaining and updating the software, too.
Among open source web analytics tools, two options stand out.
Matomo (formerly Piwik)
Matomo offers open source code with the freedom to modify it and share improvements among a vibrant community of developers. The software makes available a general analytics solution along with other more specialized features, like conversion funnels, visitor profiles, enhanced SEO, heatmaps, A/B testing, and intranet analytics.
Matomo also doesn’t use data sampling, which other tools like Google Analytics do. You can choose between cloud installation, which requires a subscription like the other analytics tools mentioned above, or on-premise, which means you can install the software on your own server and make it your own. Either way, all the data belongs to you.
Open Web Analytics
Close behind Matomo in terms of popularity, Open Web Analytics also offers many of the features you’d hope for in an open source all-in-one web analytics tool, plus a few more. Notably, this solution lets you see where people click on a page and how often people visit to measure loyalty. You can track an unlimited number of custom site actions.
The software hooks you up with dozens of standard metrics, dimensions, and reports. Even though it’s a free tool, remember, you’ll need IT resources to set it up and keep it working. View demos here.
9. Product analytics tools
Product analytics tools measure how people interact with and use a digital technology product or app rather than a website. These analytics tools are used by product development teams to improve the user experience. They can see if users are interacting with a new feature, for example, or if it’s causing friction for them, and then make changes accordingly. Some product analytics tools also measure data from your website in addition to that of your product.
Mixpanel offers product analytics tools in addition to more general web analytics tools. Its product-focused tools pull out data on how customers are using a product in real-time, highlighting trends over time. Then, automated analysis tools help product managers understand why those trends may be occurring. To continually improve the product, the team can set up cohorts of users and test how product changes resonate with those users.
According to information on Capterra, over 26,000 companies — including 30% of The Fortune 100 — use Mixpanel. Customers say that they appreciate being able to run tests without involving developers. See resources and how to get started.
Like Mixpanel, Amplitude offers self-serve product analysis, so you use a data-driven product strategy without technical know-how. However, unlike Mixpanel, Amplitude is entirely focused on product analytics. Its data collection and analysis extend through the entire user flow from onboarding through trial, purchase, use, and churn. It maps out all the possible steps customers take in the product to find points with high drop-offs. This points to changes you can make for a big impact.
One of the core beliefs of the company behind the tool revolves around finding and tracking a North Star Metric for your product. This means aligning the team and their efforts around one measurement that is key to product success.
Which are the best web analytics tools for you?
As you can see, there are a lot of web analytics tools — and the information that each provides is very attractive. Who doesn’t want to know as much as they can about their customers?
But adding more tools isn’t always better. Tool fatigue can detract from their usefulness because each tool you add also adds a cost — in the form of time, money, and your attention.
So how can you know which web analytics tools are best for you?
The short answer is that it comes down to your team’s priorities. If you are a small business still, you may only need one tool, like Google Analytics. If you are focused on growing via SEO, then, by all means, equip your team with a specialized SEO tool. And if you have reached scale with your content marketing and you want to improve your ROI, then it’s time to consider a dedicated content analytics tool.
Re-published with kind permission of Parse.ly, the insights company that empowers media owners to understand and improve digital audience engagement through data