Ranga Kaliyur

Best Mixpanel Alternatives and Competitors for Your Business in 2025

December 18, 2025

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Clearbit + Factors: Partnership Announcement

December 18, 2025

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What is Content Analytics and How Should You Approach It? Here’s What 10 Experts Have to Say

December 18, 2025

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0 min read

As digital marketing takes on new complexities, it’s essential for your marketing plan to incorporate content analytics. This will help you have a more detailed understanding of how customers interact with your company. You’ll be able to make more informed, data-driven decisions to effectively reach and convert your target audience.

What is content analytics?

Content analytics, or content intelligence, is a set of technologies that analyzes digital content in order for you to understand which content is performing well with your target audience. This enables you to create the most effective digital content possible to drive more conversions.

An analytics page showing the number of page views for a website

How does content analytics work?

B2B companies often offer highly specialized solutions. Accordingly, businesses must target their niche audiences with dedicated marketing initiatives and content that address relevant paint-points and use-cases.

You can generally figure out which content works best for your clients by analyzing certain metrics for the unstructured content your business has put out. Analytics and attribution tools like Factors.ai help marketing teams with granular insights into content performance and bottom line impact.

It’s important to remember that content analytics and attribution isn’t a linear process. We got in touch with B2B content industry leaders to ask how many metrics they use to measure content performance. Here’s what they had to say:

Pie chart detailing the number of metrics that experts use to measure content performance

We also asked them which metrics they think are the most important in measuring the effectiveness of content. Here’s what they had to say:

Clickthrough rate (CTR): Sophia Madhavan at GrowthMakerz and Vitaliy at Videowise include the CTR in the list of metrics they use to evaluate how well their content is doing. The CTR allows you to see how many times visitors to a certain page organically search for your content or click on your ad as a ratio to the total number of visitors to that page.
Impressions: Impressions give you insight into the level of engagement your content is generating. This content could be a web page, advertisement, or blog post, for instance. Madhiruma Halder at Recruit CRM lists impressions among the metrics they use to understand how their social media campaigns and search engine marketing are performing.
Marketing qualified lead (MQL): Not all leads are created equal. A lead that takes any high intent actions like scheduling a demo or signing up for a trial is far more likely to convert than others. Karishma Chopra at Hiver believes that the effectiveness of content should be measured in terms of its influence in driving MQLs.
Time on page: The time a prospect spends on a particular page is indicative of their interest in the solution you’re offering. Praveen Das at Factors then uses these insights to create marketing campaigns informed by the content their prospects and clients are interested in.
Scroll depth: Scroll depth is a measure of how far your website visitors scroll down a certain page. As a general rule of thumb, if most of your website visitors are scrolling at least halfway down the page, it indicates that your content has substantial value.
Unique users: Chelsea Downing-West at The Martec finds unique users a crucial metric. The number of unique users may be challenging to calculate. Effective visitor identification allows you to see how many unique visitors your website receives by counting each visitor only once, no matter how often they visit the website.
Bounce rate: The bounce rate of your website indicates the ratio of visitors who access your website and leave instead of clicking on and going through other webpages.
Engaged Accounts: Understanding which specific accounts are consuming the content is another intuitive way for content marketers to analyze its effectiveness. Visitor Identification softwares like Factors can help marketers identify the account and its properties (employee range, industry) even if the user does not fill up a form. This helps Content Marketers plan content efforts tailored to specific industries or scale of employees.

Bar chart highlighting which metrics are used most often by the experts we surveyed to determine content performance.

Why is content analytics important?

Your website content is the first thing that prospects see when they’re evaluating your company. It creates a lasting impression about your services. Content analytics helps you understand the types of content that perform well among your target audience, which in turn is crucial to designing a successful customer experience.

Moreover, marketing teams spend a substantial amount of time and budget to create content that prospects find valuable. A few of the experts we surveyed responded that they hire in-house teams for content creation and distribution. This indicates how valuable creating effective marketing content is to increasing overall revenue; B2B companies are willing to invest in salaries, 401(k)s, and insurance to generate engaging content. Respondents stated that they spent anywhere between $1000 and $10,000 a month towards content creation and distribution.

This expense makes sense when you consider how much content contributes to the overall pipeline. Respondents stated that the monthly investments they make towards content creation reaps significant rewards. Although responses varied greatly, most of the experts cited that around 30-40% of the pipeline is influenced by content creation and distribution.

Creating valuable content for prospects is almost entirely dependent on content analytics. Content analytics offer your sales and marketing teams multiple benefits:

Helps marketers redefine their strategy based on how current content is performing
Calculates the ROI for each piece of content, which in turn guides future content strategy and content repurposing.
Superior prospect experience by focusing on the most relevant content and elimination of guesswork
Quicker and easier conversion for prospects by offering them content that is relevant and important for them at each stage of the funnel
Cuts down on redundant content by immediately finding out when certain pieces are underperforming

How can content analytics contribute to a better customer experience?

Understanding each interaction a prospect or customer has with your website and other marketing collateral enables you to improve your content offerings. You’ll be able to offer customers a far better experience by analyzing and iterating based on content data. Content analytics helps you:

Offer relevant content

You can offer clients valuable content depending on where they are in the conversion process. Content analytics help you anticipate which content is relevant at every stage of the funnel, thereby streamlining communication with prospects and clients alike.

Address specific client needs

You can also create a 360-degree buyer persona for existing clients. An integrated analytics software like Factors allows you to have a holistic overview of each client so you can see every interaction they’ve had with your company. You have access to each touchpoint and all their past behavior, thereby enabling you to make educated guesses about their pain points.

For instance, let’s say you run a company that creates CRM software. You could find through trends in content analytics that customers from the tourism industry are interested in the customer service features it offers. On the other hand, customers in the tech industry are more interested in its customization and workflow automation features. You can then use these trends to offer them content that best fits their needs.

Hyper-personalize your content

Prospects today expect a highly customized experience tailored to their needs. It’s essential to curate a personalized experience in order to create a lasting client relationship. Understanding which channels your client base uses, the keywords they’re interested in, and the time they spend trying to solve a pain point on a webpage are all crucial to personalization.

Make better decisions

Content reporting can help you make deeply informed decisions with respect to pricing, sales, organizational goals, and communication. You’ll never have to rely on guesswork again; all you need to do is gather user data through an analytics tool and leverage it relentlessly.

Your clients have needs that are continuously evolving, so you have to continuously utilize real-time data to create adaptive strategies that help you get the most out of your investment.

What are the biggest challenges of content analytics?

Customers’ preferences and expectations from content are constantly changing. Jess Cook from LASSO puts it best: content analytics isn't an exact science. Here are the biggest challenges that marketing and sales teams encounter in the process of analyzing content data:

Data silos

Your sales and marketing teams need access to a unified customer data infrastructure. End-to-end account journeys are of the utmost importance when you’re streamlining the sales and marketing processes. If your sales and marketing teams work independently of each other, there’s a huge chance that they have access to disconnected data.

Data silos lead to an underwhelming customer experience. The sales team should have access to all the marketing touchpoints the user has been through to avoid repetition, tedium, and misunderstandings in the sales process.

Visitor identification

De-anonymization is crucial to effective analytics, since you need to see how many unique visitors your website is drawing and the firmographic characteristics of these users such as company name, industry, employee range and revenue range. However, all users on the internet want anonymity, and there are laws to protect user data from illegal tracking.

Free content analytics tools have limitations

Tools like Google Search Console (GSC) offer users limited insight. Saffia Faisal at Userpilot believes that GSC is inadequate for dedicated content analytics and reporting. B2B companies require an in-depth analysis of how their content is performing. GSC’s algorithm limits accuracy in reporting, providing just a signal of how content performs. GSC also imposes limitations on the number of rows of data that can be exported at a query level.

How content analytics works in Factors

Factors.ai connects the dots between web sessions and CRM events to answer this question through automated form captures, customer journey funnels, and AI-powered inflection analysis to determine what content is helping/hurting larger objectives

“How are my website resources driving form submissions, MQLs, SQLs, Opportunities, Deals, and ultimately, Revenue?"

Content marketers and sales strategists need access to real-time, relevant data that provides a holistic overview of content and customers alike. These insights can help tailor new content based on what works, thereby driving greater revenue.

Content Funnel — **End-to-End Funnels From Web to CRM**

**Breakdowns and Filters for granular, segmented content analysis**

**Automated insights to determine web content's impact on custom conversion goals**

Customizable dashboards

Remember the data silos we mentioned earlier? They slow down the progression of the accounts into the sales funnel and may lead consumers to drop out of it altogether. With Factors, however, you have all your customer information present on the same dashboard. Your sales and marketing teams will have access to consistent information, and will be able to see all your clients’ touchpoints. You can choose which metrics you want to view on the dashboard.

Easy account identification

With Factors’ reverse IP lookup, you’ll be able to identify which companies are interested in your solutions through their website visits. If an individual in a company visits your website, Factors will match its IP address within its existing database and identify the company name and domain, industry, annual revenue, and employee headcount. Since the database relies on publicly available data and the data you draw from your website, this process is fully compliant with user privacy protections.

You’ll also be able to see which stage of the funnel a particular prospect is at by the type of content they consume. Once you know the identity and needs of your prospects, you can target them in a personalized manner.

Automated analytics and attribution

Your sales and marketing teams won’t need to crunch numbers or look for missing information. Factors provides all the data you need, such as time on page, page load time, button clicks, scroll percentage, and page views. By automating the process of content data collection, your teams can focus their energies on strategizing and creating quality content for clients.

Factors’ multi-touch attribution model helps your company understand the customer journey and give credit to the touchpoints involved in the conversion process. It provides more detail with respect to user behavior when compared to single-touch models. A multi-touch attribution model aims to highlight which touchpoints have the greatest influence in the account’s journey, and how they work together.

Adaptation based on new insights

Your customers’ requirements are constantly evolving. It’s necessary for your analytics and attribution systems to respond to these nuances. Factors allows you to obtain instant insights about which content assets are redundant or performing well. You can use these content performance reports to refresh older content and push pieces that are doing well across more channels.

Get in touch with us today to find out how Factors can help your company improve its content analytics and reporting.‍

non-exhaustive list of website session metrics

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Dive in Deep with Factors

Factors.ai takes content analytics one step further with extensive breakdowns + filters, custom dimensions + KPIs, and Content Groups.

As a content marketer, you may be interested in granular insights into your resources. “What geographies are consuming most of my work?”, “Is my blog being read more frequently on a phone or on a desktop? Should I optimize accordingly?”, “What campaigns, channels, and sources is web traffic originating from? “What about my SEO efforts and organic traffic?”.

Factors.ai answers these questions and more with an extensive range of filters and breakdowns. Additionally, there’s ample flexibility to create your own custom events and KPIs if you’d like to track tailor-made metrics.

Finally, with Content Groups, you can group a collection of logically related URLs that make up your overall website content. For example, core web pages like “features” “pricing” and “product” may be defined under one group to measure holistic performance. Similarly, blog articles written with specific intent can be analyzed all in one go. No doubt, a handy feature for content marketing analytics.

Content analytics helps evaluate digital content to gauge its performance and audience engagement.
1. Key Metrics: Click-through rates (CTR), impressions, and marketing qualified leads (MQLs).
2. Platform Capabilities: Tools like Factors offer detailed breakdowns, custom KPIs, and intelligent content grouping.
3. Strategic Benefits: Refine content strategies, improve engagement, and make data-driven decisions.
Using content analytics empowers businesses to optimize performance and maximize the impact of their digital efforts.

FAQs

How do you use analytics in content marketing?

Content analytics include reporting on website, marketing, and sales metrics. Understanding how customers interact with your content allows you to personalize your marketing campaigns in order to drive more conversions. Measuring these metrics also helps you address specific pain points and therefore improve the overall consumer experience for your solution.

Which metrics should I measure for content performance?

We asked experts about the metrics they keep track of to ensure high content performance. Their responses included clickthrough rate, impressions, marketing qualified leads, scroll depth, time on page, unique visitor identification, downloads, funnel movement, influenced demos, and bounce rate.

And there you have. Our customers regularly use Factors.ai to make sense of their content performance and guide their B2B content marketing strategy with the help of granular web page analytics, end-to-end customer journey insights, and flexible content reporting. If you’d like to learn more about our work at Factors, schedule a personalized demo today.

Factors Vs. Google Analytics (GA4)

December 18, 2025

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0 min read

GA4: End Of The Road For Google Analytics?

Over the last decade, Google Analytics has dominated the marketing analytics space. This uncontested reign can be attributed to a couple of key reasons: One, GA is free. And two, GA maintains a monopoly over historical data for an enormous install base. While the former isn’t likely to change, the introduction of GA4 is set to crush 10+ years of backward compatible data for millions of websites — including yours.

By breaking history and forcing a migration from Universal Analytics to GA4, Google Analytics loses an important advantage. This, coupled with a host of issues around UI, functionality, and privacy has resulted in a dramatic turn in tides. If users are going to lose out on their historical data by next year anyway, there’s little incentive for them to stay — especially when the best Google Analytics alternatives are readily available.

“We will begin sunsetting Universal Analytics — the previous generation of GA — next year. All standard UA properties will stop processing hits new hits on July 1st, 2023” - GA Support

“GA4 feels like a huge step backwards. Tons of functionality in the previous version is missing or replaced with smart “insights” — which always goes wrong. A good time to move on to something better” - Hacker News

With this in mind, The following article compares Google Analytics (specifically, GA4) with Factors to demonstrate why, now more than ever, the latter is better suited for B2B marketing analytics, web analytics & CRO, multi-touch attribution, and more.

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Data Integration

To be of any value, B2B marketing analytics requires substantial data from a wide range of sources. This includes granular metrics across all your ad campaigns (Google, Bing, Facebook, Linkedin, Capterra, etc.), website, and CRM (HubSpot/Salesforce) events. Ideally, this body of information is unified under one platform to ensure normalized data and alignment across demand gen teams. So how does Factors compare with Google Analytics when it comes to data integration? Here’s the rundown:

Ad Campaign Metrics

Google Analytics can report basic traffic data from most commonly used social platforms — Google Ads, Facebook/Meta, Linkedin, etc. Integrating non-Google sources, however, is significantly more challenging on GA. It requires the construction of custom campaigns using URL builders (read: a time-consuming, laborious chore). Factors, on the other hand, deliver immediate no-code integrations.

The real issue with GA, however, is that it cannot pull metrics that matter from any source that isn’t Google Ads. Commonly tracked figures like impressions, engagement, click-through rates, etc cannot be reported, let alone linked with website or CRM data. This is a headache for users looking to consolidate all their marketing efforts under one roof. Factors solves for this by automatically pulling granular metrics across the board.

CRM Integration

This is another big point for Factors. Unlike GA, Factors provides robust integrations with HubSpot, Salesforce, and soon, Leadsquared. The implications of this are significant. Marketers will have the ability to connect the entire customer journey from first touch to deal won. In turn, marketers can determine exactly how their efforts across ad campaigns, web content, and offline events are contributing to larger business objectives like pipeline and revenue. This is simply not possible on Google Analytics as it does not integrate with any CRM whatsoever.

Third-party Integrations

Another reason Factors has the edge over Google Analytics is third-party integrations. Factors integrates with the likes of Clearbit Reveal (Deanonymization), Segment (CDP), Drift (Chatbot), and more to ensure an actionable web + marketing analytics experience. Again, this is impossible on Google analytics because GA4 does not integrate with third-party platforms. Consequently, this affects the quality of customer journey insights. Even with sophisticated manual analysis, the data derived from Google Analytics is likely to remain superficial at best. In later sections, we’ll explore the implications of this issue in detail.

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Implementation & Onboarding

So far, we’ve established that data integration (including third-party) makes more sense with Factors. Next, let’s examine how the two marketing analytics tools compare with regards to implementation and onboarding. For context, if you’re currently using Universal Analytics, you either have to upgrade to GA4 by next summer (June 2023) or find a GA alternative like Factors.

What does it take to upgrade to GA4?

12-steps. That’s right. It requires 12 steps before you can upgrade from Universal Analytics to GA4. What’s more? As previously mentioned, integrating with non-Google ad platforms needs elaborate orchestration with custom campaign URL/UTM builders. Additionally, GA4 requires users to manually tag each event they want to track. In short, this means significant labor effort, engineer dependency, and time-spent waiting for incomplete datasets.

What does it take to set-up Factors.ai?

Maybe about 30-min. In fact, it’s probably closer to 10 with Google Tag Manager. Simply place the superlight SDK onto your website and integrate (no-code!) with your ads platforms, CRM, CDP, Chatbot, and more. Before you know it, all your marketing + web data will begin pouring into a single, normalized platform. Easy as pie.

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B2B Marketing Analytics

Now, let’s discuss functionality. Here’s how Factors compares to Google Analytics when it comes to core use-cases of a B2B marketing analytics tool.

Right off the top, it should be noted that GA isn’t built for B2B marketing analytics. It struggles to support tracking for journeys that involve several months, touch-points, and stakeholders. Unfortunately, these are the precise characteristics of a standard B2B sales cycle. Customers often experience countless (well, on average, 7) touchpoints — both online and offline — across ads, emails, webinars, blogs, web sessions, etc before converting. These touchpoints can occur within a window of one week, one month, or sometimes, even longer than one full year. Unlike Factors, GA4 isn't designed to analyze or attribute lengthy, sporadic interactions for B2B marketers.

Additionally, and as previously mentioned, GA is unable to track and measure granular campaign or event metrics from non-Google platforms. Since B2B marketers target (and retarget) marketing efforts to their audience across several channels, it’s nearly impossible to consolidate these figures on GA alone.

Factors eliminates this data silos issue for marketers and demand gen folk with the help of aforementioned third-party integrations. Once data has been collected, Factors delivers an end-to-end marketing analytics suite that’s tailor-made for B2B teams.
This includes web analytics, funnels, custom events and KPIs, multi-touch attribution and more. Let’s explore why Factors has the edge over GA across these use-cases.

Data Accuracy, Marketing Funnels,
Revenue Attribution, & More

At its core, Google Analytics is a website analytics service. And to be fair, GA does a half decent job at it, especially for a free tool. That being said, there are significant limitations with GA that Factors solves for:

Data Accuracy

‍Certain web metrics are not precise on GA. Let’s say a lead lands on a blog on your website. Before they can start to read the article, their doorbell rings and they leave to answer with the blog page open on their laptop. The lead returns in about 8 minutes, clicks out of the blog to schedule a demo. Google Analytics would inaccurately assume that the blog played a massive role in this conversion because of the significant (8 min) time spent on page. In reality, however, the lead did not scroll even a little to read the rest of the piece. Factors solves for such issues by tracking granular details like cursor activity and scroll depth percent to ensure your data, and the insights derived from that data, is as accurate as can be.

Marketing Funnels

‍On GA4, you’re limited to page-to-page funnels. That is, GA4 only considers funnels wherein each webpage is a separate step. As such, GA4 struggles to track multi-session engagement. Let alone a funnel across ads, web, and CRM. Funnels on GA may only be used to reliably measure drop-offs and conversions that occur in the length of a single web session (Eg: Blog -> Pricing -> Schedule Demo in one web session). Additionally, event funnels are not supported on GA4. Hence, if you’d like to track how specific website content is contributing to MQLs, leads, & revenue, GA4 won't suffice.

Customer Journey + Revenue Attribution

As previously mentioned, GA does not integrate with CRMs like HubSpot, SalesForce, or Leadsquared. This severely impedes cogent customer journey analysis and revenue attribution. Without laying the entire map from ads, offline efforts, web sessions, and CRM events, you are left with an incomplete picture of what’s driving revenue and pipeline. Consequently, this affects data-driven decision making, which ultimately results in suboptimal marketing strategy and ROI. It is not feasible to derive end-to-end marketing insights into what’s working and what’s not with Google Analytics. While GA might be able to track the source of traffic, it cannot determine the cause.

Usability - UI and UX

What’s surprising is that even with these significant drawbacks, users complain about GA4’s useability. It can be overkill — unintuitive, excessive, and far too technical — for marketers looking for basic reports. And completely irrelevant to marketers looking to dig deeper into their data. Let’s let twitter expand upon this…

Website owners, is it just me or is the new GA4 just HORRIBLE? It's like it's designed only for retail sites or something, very hard to get the basic info that I used to rely on... Think I'll switch back! Awful!

Trevor Long (@trevorlong)

I usually can find my way round any piece of software quickly. But Google Analytics 4 is making me cry...I've never seen a tool upgrade that made simple things sooo complicated :face_palm: Non-tech business owners were already struggling to use it. But now they have NO chance.

Gill Andrews (@StoriesWithGill)

1. The UX of Google products in general suck
2. GA4 is a new level of suckiness
3. I get the feeling Google doesn't have a UX team and/or never tests the usability of their products
4. If you are not a monopoly you would never be able to get away with this

Tom Kasperski (@TomKaz)

Factors is simple by design. Users go from onboarding to creating powerful (and basic) marketing reports in a matter of minutes.

Now Is The Best Time to Switch Over From Google Analytics To Factors.ai

And there you have it. A non-exhaustive set of reasons as to why Factors.ai makes far more sense for B2B marketers over Google Analytics. With the imminent arrival of GA4 (and the consequent break in years of historical data), now is the best time to make the move to Factors.

Google Analytics 4 vs. the Alternatives: Why Marketers Are Looking Elsewhere
Google Analytics 4 (GA4) is a reset. It drops over a decade of data from Universal Analytics, creating a major gap for teams that rely on long-term performance trends. On top of that, GA4’s clunky UI, limited out-of-the-box reports, and tough integrations, especially with non-Google tools, make the shift more frustrating than freeing.
Enter Factors. It’s designed for B2B teams looking for clear, cross-channel visibility without wrestling with code or incomplete data. With plug-and-play integrations across ad platforms and CRMs, privacy-safe tracking, and advanced multi-touch attribution baked in, Factors helps marketers stop guessing and start making decisions with context.