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Team Webnzee

Affiliate Marketing in the Age of AI: How the Industry Works and Why Affiliate Networks Still Matter

Team Webnzee · October 12, 2026 · Leave a Comment

Affiliate marketing has become an important part of the digital economy, connecting businesses that want to acquire customers with publishers that can introduce products and services to relevant audiences. From technology blogs and product review websites to YouTube channels, social media creators, and specialist comparison platforms, affiliate marketing enables publishers to earn revenue by promoting products without having to manufacture or own them.

At the same time, artificial intelligence is changing the economics of software development. Merchants can increasingly use AI-assisted tools to build their own affiliate tracking systems, commission calculators, reporting dashboards, and referral management applications.

This development raises an important question: if businesses can create affiliate software themselves, why do established networks such as Awin, CJ Affiliate, and impact.com continue to operate?

Understanding the answer requires looking beyond tracking links and commission calculations. Affiliate marketing is not merely a software solution. It is a business ecosystem built around partnerships, attribution, distribution, trust, and measurable commercial outcomes.

Understanding the Key Players in Affiliate Marketing

Affiliate marketing generally involves several participants, each contributing a different resource to the commercial relationship.

7 Tips to Maximise Your Online Shopping Experience

1. Merchants and advertisers

Merchants are businesses that want to sell products or services. They may include online retailers, hosting companies, software providers, educational platforms, financial service businesses, and digital marketplaces.

Their primary objective is to acquire customers profitably. Instead of relying exclusively on conventional advertising, they can reward external partners for generating qualifying sales, leads, or other valuable actions.

Write Product Reviews Without the Product in Hand | Post Affiliate Pro

2. Publishers and affiliates

Publishers promote merchant products through blogs, websites, newsletters, videos, social media, product comparisons, and online communities.

Their principal assets are their audiences, content, expertise, and ability to influence purchasing decisions. Affiliate commissions allow them to monetise these assets without owning the products being sold.

Funzionalità della dashboard per il coinvolgimento e la fidelizzazione degli affiliati | Post Affiliate Pro

3. Affiliate networks and partnership platforms

Companies such as Awin, CJ Affiliate, and impact.com connect merchants and publishers while providing tracking, reporting, commission management, and other partnership services.

They help businesses discover partners and coordinate commercial relationships at a scale that may be difficult to achieve independently.

DigiLevelup | Premium Digital Marketing Agency

4. Affiliate managers and agencies

Affiliate managers recruit publishers, negotiate commission structures, improve campaign performance, and maintain relationships between merchants and their partners.

Agencies can provide similar services to merchants that lack the time or expertise to manage their own affiliate programs.

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5. Customers

Customers are the source of the revenue being shared. They discover a product or service through a publisher and eventually decide whether to purchase it.

A successful affiliate relationship creates value for the customer through useful information, relevant recommendations, competitive offers, or a more convenient purchasing decision.

Other participants may include payment processors, analytics providers, technology vendors, influencer platforms, and specialist comparison websites.

The affiliate industry works because these participants contribute different capabilities to a shared commercial objective.

How Affiliate Marketing Works

Consider a web hosting company that wants to acquire more customers. It could establish an affiliate program and invite publishers to recommend its hosting plans.

A technology blogger might write an article comparing several hosting providers. Within the article, the blogger includes a special affiliate link associated with the hosting company.

When a reader clicks that link, the tracking system records the referral using an appropriate identifier or attribution mechanism. If the reader subsequently purchases a hosting plan and the transaction satisfies the program’s conditions, the merchant approves the conversion and the publisher earns a commission.

Merchant

Offers a product and establishes commission terms

Affiliate network or tracking platform

Provides tracking, attribution and reporting

Publisher

Promotes the product to a relevant audience

Customer clicks an affiliate link

The referral is recorded

Qualifying purchase

The merchant validates the transaction

Commission payment

The publisher receives the agreed reward

The most important technical element is attribution: determining which eligible referral or marketing interaction deserves credit for a conversion.

Depending on the implementation, tracking may use cookies, first-party identifiers, unique click IDs, server-to-server notifications, promotional codes, order identifiers, or a combination of these methods.

Attribution is not always perfect. Privacy restrictions, blocked cookies, multiple devices, and purchases made after long delays can complicate the process.

Consequently, a reliable affiliate program needs more than a link generator. It requires clear commission rules, accurate records, transaction validation, and a consistent process for resolving disputed conversions.

How Merchants and Publishers Benefit

Affiliate marketing creates a commercial relationship between two parties that possess different but complementary resources.

The merchant has a product, pricing, fulfilment capabilities, and customer support. The publisher has an audience, content, expertise, or access to a particular market. Affiliate marketing enables them to combine these resources without necessarily entering into a traditional employment or advertising arrangement.

Benefits for merchants

Merchants can use affiliate marketing to expand their reach beyond their existing customer base. Rather than building every audience internally, they can collaborate with bloggers, reviewers, creators, comparison websites, and specialist publishers.

Another advantage is performance-linked expenditure. Under a cost-per-sale arrangement, the merchant generally pays a commission only when an eligible sale occurs. This can reduce the risk of spending money on advertising that generates attention but no purchases, although the merchant still bears program management, tracking, and other operating costs.

Affiliate programs also provide measurable performance data. Merchants can evaluate attributed revenue, conversion rates, customer acquisition costs, refunds, and the performance of individual partners. These measurements can help businesses identify profitable channels and improve their marketing strategies.

Benefits for publishers

For publishers, affiliate marketing provides an opportunity to earn revenue from an existing audience without having to manufacture products, maintain inventory, or handle the merchant’s customer service.

A website specialising in technology, for example, can recommend hosting providers, domain registrars, software subscriptions, and other services relevant to its readers. Different affiliate programs can generate multiple revenue streams from the same body of content.

Some programs also offer recurring commissions for eligible subscription renewals, potentially creating income that continues beyond the original purchase. However, recurring payments depend on the merchant’s terms and are not available in every program.

Consider a publisher whose hosting comparison article attracts 10,000 visitors each month. If 5% of those visitors click affiliate links, the article generates 500 affiliate clicks. If 4% of those clicks result in qualifying purchases, the publisher generates 20 sales.

At a commission of ₹1,000 per sale, the resulting gross commission would be ₹20,000 per month.

This is an illustrative calculation rather than an industry average. Actual profitability depends on the quality of the audience, conversion rates, rejected transactions, content production costs, and the durability of search and referral traffic.

The merchant benefits as well if the acquired customers generate sufficient profit to justify the commissions and associated expenses.

Affiliate Marketing Versus Display Advertising

Affiliate marketing is often discussed alongside display advertising, but the two models generally differ in how publishers are compensated.

Display advertising typically involves placing banners, images, or other advertisements on a website or application. Depending on the agreement, the publisher may earn money based on impressions, clicks, or other measurable outcomes.

Affiliate marketing generally focuses on rewarding publishers for qualifying commercial actions, most commonly sales or leads.

FeatureDisplay advertisingAffiliate marketing
Typical payment modelCPM or CPCCPA, CPS or CPL
Primary objectiveGenerate exposure or trafficGenerate qualifying actions or sales
Publisher’s main assetAudience and advertising spaceAudience, content, expertise and purchasing influence
Payment without a saleCommon under CPM or CPC arrangementsPossible under some programs, but not typical of cost-per-sale models
Merchant’s principal concernReach, traffic quality and campaign effectivenessAttributed conversions, commission costs and profitability
Common channelsDisplay advertising networks and direct advertising dealsAffiliate networks, direct affiliate programs and partnership platforms

CPM means cost per thousand impressions, while CPC means cost per click. CPA refers to cost per acquisition or action, CPS to cost per sale, and CPL to cost per lead.

For example, a publisher receiving ₹100 CPM for 100,000 qualifying display-ad impressions would earn ₹10,000, regardless of whether the impressions produce a sale.

An affiliate publisher earning ₹1,000 per qualifying sale would need 10 sales to generate the same ₹10,000 in commission. If no qualifying sales occurred, the publisher might earn nothing under that arrangement.

Display advertising can therefore offer relatively predictable revenue from traffic volume, while affiliate marketing can generate greater revenue per visitor when the audience has strong purchasing intent.

The two models are not mutually exclusive. A website can earn display-ad revenue from general readership while using affiliate links within product reviews and comparison articles.

The distinction is best understood as follows: display advertising typically monetises exposure or traffic, whereas affiliate marketing typically monetises attributable commercial outcomes.

The Major Affiliate Networks: Awin, CJ Affiliate, and impact.com

Several established companies operate in the affiliate and partnership-management industry. Their continued presence is particularly interesting at a time when AI is making software development increasingly accessible.

zanox and Affiliate Window rebrand to Awin

Awin

Awin operates an affiliate marketing network connecting advertisers and publishers. Its services include partner discovery, tracking, reporting, commission administration, and support for managing affiliate relationships across markets.

Website: awin.com

“We’re a lot more sophisticated” CJ on PI LIVE Europe and the Changing Affiliate Marketing Landscape

CJ Affiliate

CJ connects advertisers with publishers and provides infrastructure for affiliate tracking, performance measurement, commission management, and partner relationships. Its established advertiser and publisher ecosystem is an important part of its proposition.

Website: cj.com

impact.com Announces Continued Growth in Second Quarter of 2024, Driven by New Technology for Brands, Creators, and their Customers, Helping Them Better Manage all Partnerships in One Platform

impact.com

impact.com takes a broader partnership-management approach, supporting affiliate relationships alongside creator, influencer, referral, and other partnership arrangements. Its proposition includes partner discovery, contracting, tracking, payments, and performance management.

Website: impact.com

These companies overlap in some areas, but their products and positioning are not identical. Awin and CJ have strong roots in traditional affiliate networks, while impact.com emphasises a broader partnership-management model.

Their business value does not come solely from the technical ability to create an affiliate link. They also provide an environment in which businesses and publishers can establish, operate, and scale commercial relationships.

Why Do Affiliate Networks Still Exist When AI Can Build the Software?

The rise of AI-assisted software development has reduced the cost and complexity of building many applications. A merchant can now use AI to develop an affiliate plugin, create unique tracking links, store conversion records, calculate commissions, and generate administrative reports.

If these functions can be developed independently, the continued existence of major affiliate networks may seem surprising.

The explanation is that building affiliate software and building a successful affiliate network are two different business challenges.

1. Network effects and access to partners

An independent merchant program starts with the relationships that the merchant can recruit itself. An established network, by contrast, may already have relationships with thousands of advertisers and publishers.

A publisher joining a network can discover multiple merchant programs through a common platform. A merchant can potentially reach publishers who are already active and looking for relevant offers.

This creates a network effect: the platform becomes more useful as more suitable merchants and publishers participate.

AI can generate the software needed to operate such a platform, but it cannot instantly recreate years of commercial relationships, established reputations, and a community of publishers that consistently generate sales.

2. Fraud prevention and trust

Affiliate programs must distinguish legitimate referrals from fraudulent or invalid activity.

Potential problems include fake leads, self-referrals, cookie stuffing, misleading promotional claims, duplicate conversions, and abuse of promotional codes.

A merchant can develop automated checks using AI and conventional software. However, reliable fraud management also requires data, monitoring, defined rules, investigation procedures, and experience dealing with disputes.

Established networks can spread the cost of these functions across many participating programs. They cannot eliminate every form of fraud, but they can provide infrastructure and procedures that individual merchants might otherwise have to develop independently.

3. Payments and financial administration

A publisher working with 40 merchants across several countries may face 40 different payment arrangements, reporting systems, commission schedules, and administrative contacts.

An affiliate network can consolidate much of this work into a common environment.

For merchants, it can simplify commission reporting and payment administration. For publishers, it can reduce the effort involved in managing relationships with multiple advertisers.

International payments, currency conversion, tax documentation, reconciliation, and payment disputes can make this particularly valuable.

A merchant-owned application can automate many of these tasks, but the merchant must still build the required integrations, establish procedures, and assume responsibility for its own obligations.

4. Publisher recruitment and distribution

One of the biggest challenges for a new affiliate program is finding publishers who can actually generate customers.

A merchant might develop excellent tracking software and offer attractive commissions, yet still struggle to recruit affiliates. Publishers must discover the program, evaluate its credibility, understand its terms, and decide whether promoting it is worthwhile.

Established networks help address this distribution problem by providing a place where publishers can discover programs and merchants can recruit partners.

This illustrates a fundamental principle of business: creating a product is not the same as creating a distribution channel.

AI can help identify potential publishers, personalise outreach, and automate recruitment research. It cannot guarantee that those publishers will trust the merchant or choose to promote its products.

5. Attribution, reconciliation, and dispute resolution

Affiliate attribution becomes complicated when a customer interacts with multiple publishers, advertising channels, promotional codes, and direct visits before purchasing.

A merchant-owned platform can implement attribution rules, but it must decide how commissions are allocated and explain those decisions to partners.

Established platforms provide common reporting systems, contractual rules, and procedures for handling approvals, reversals, and disputes.

These systems do not make attribution perfect. Their value lies in providing a structured framework for administering the commercial relationship.

6. Data and operational experience

Established networks accumulate experience across different types of merchants, publishers, and campaigns. They may help businesses identify promising partners, assess performance, and improve campaign management.

AI can make performance analysis and recommendations more efficient. Nevertheless, the quality of the underlying data, the breadth of partner relationships, and the ability to execute recommendations remain important.

The strongest platforms are therefore likely to combine software, data, commercial relationships, and automation rather than rely on any one of these advantages alone.

How AI Could Reshape the Affiliate Marketing Industry

AI is likely to make direct affiliate programs more accessible to small and medium-sized businesses.

Tasks that once required substantial development effort can increasingly be automated, including:

  • Affiliate registration and approval workflows.
  • Tracking links, click identifiers, and conversion records.
  • Commission calculations and administrative dashboards.
  • Automated performance summaries and partner communications.
  • Basic fraud detection and unusual-activity alerts.
  • Publisher research and personalised recruitment outreach.

However, other challenges remain difficult: attracting high-quality publishers, maintaining trust, managing complex attribution disputes, ensuring payment reliability, and building a sufficiently active partner ecosystem.

The market may consequently evolve into several overlapping categories.

Merchant-owned affiliate software

Suitable for businesses that need control over tracking, commission rules, customer data, and integrations, and that can recruit publishers independently.

Specialist affiliate platforms

Designed for particular markets or workflows, such as SaaS subscriptions, digital products, creator partnerships, or domain and website sales.

Large affiliate networks

Valuable where access to an established partner ecosystem, broader recruitment opportunities, payment administration, and international operations justifies the cost.

Some merchants will leave networks if the fees outweigh the benefits. Others will continue to use them because the cost of independently recruiting and managing publishers exceeds the savings from owning the software.

The likely outcome is not the disappearance of affiliate networks, but greater competition between software providers, direct programs, and partnership ecosystems.

The Economics: Is a Direct Affiliate Program Always Cheaper?

Consider a hypothetical merchant generating ₹10 lakh in monthly affiliate-attributed sales and paying publishers commissions equal to 10% of those sales.

The monthly publisher commissions would be ₹1 lakh under either model.

Monthly expenseDirect programNetwork program
Publisher commissions₹1,00,000₹1,00,000
Software, platform and operations₹25,000₹60,000
Total monthly cost₹1,25,000₹1,60,000

These figures are illustrative assumptions, not actual prices quoted by affiliate networks.

On the surface, the direct program saves ₹35,000 per month. But the comparison is valid only if both arrangements generate the same amount of business and the figures capture all relevant costs.

If the network provides access to publishers who generate additional profitable sales, the higher expense may be justified. If the merchant already has a strong publisher community and the network contributes little incremental value, direct software may be the better choice.

The appropriate decision depends on the total economics of the program, including commissions, platform charges, staff time, fraud losses, conversion quality, and incremental customer acquisition.

The central question is not which software costs less. It is which model produces the highest incremental profit after all relevant costs.

A Practical Example: Affiliate Marketing for Digital Assets

The distinction between affiliate software and an affiliate ecosystem is particularly relevant to marketplaces selling websites, domains, and other digital assets.

A specialised marketplace such as Flipnzee could allow publishers to promote individual listings through unique affiliate links. The system could record visits, clicks, enquiries, offers, and confirmed transactions.

However, these activities should not be treated as interchangeable.

A click on a listing is not necessarily an enquiry. An enquiry is not necessarily an offer. An offer is not necessarily a completed sale.

Where transactions are completed through external services or offline negotiations, the marketplace may need an administrative process to verify the sale and determine whether a commission is payable.

A specialist affiliate platform for digital assets could therefore offer:

  • Listing-specific affiliate tracking.
  • Separate reporting for visits, clicks, leads, offers, and completed sales.
  • Commission rules designed for domain and website transactions.
  • Manual transaction confirmation where automatic verification is unavailable.
  • Audit trails to support commission calculations and dispute resolution.
  • Integration with listing analytics and digital-asset information.

Such a system would offer more value than a generic collection of tracking links because it would address the specific workflow of digital-asset transactions.

Its commercial success, however, would depend on attracting credible listings, generating buyer demand, offering worthwhile commissions, and establishing trust among sellers and publishers.

The same principle applies to businesses promoting hosting, domain registration, WordPress services, and software subscriptions. Direct affiliate software can help manage their own referrals, while established networks can provide access to third-party merchant programs.

Conclusion: In the AI Era, Distribution May Matter More Than Code

Affiliate marketing illustrates a broader change taking place across the digital economy.

AI is lowering the barriers to building websites, applications, marketplaces, dashboards, and business automation tools. As these capabilities become more accessible, software alone may become a less defensible competitive advantage.

Businesses will still need customers, reliable operations, trusted relationships, and sustainable commercial models.

A merchant can build its own affiliate tracking system, but that does not automatically create a community of publishers willing to promote its products. A publisher can create a website using AI, but that does not guarantee an audience or revenue. An affiliate network can develop sophisticated technology, but it must continue delivering enough commercial value to justify its fees.

The enduring value of Awin, CJ Affiliate, and impact.com lies in their combination of technology and partnership infrastructure. Their future competitiveness will depend on how effectively they adapt as merchants gain greater control over software development.

For entrepreneurs and developers, the lesson is straightforward: build software when ownership, control, and specialisation create an advantage; use an established network when its access to partners, operational capabilities, and commercial relationships justify the cost.

In the long run, the most successful affiliate businesses are likely to be those that combine technology with meaningful distribution, credible partnerships, and measurable value for customers.

Why Direct Traffic and Organic Search Should Be Analyzed Separately

Team Webnzee · October 4, 2026 · Leave a Comment

Organic Search can help answer questions such as:

  • How many visitors came from Google or Bing?
  • Which pages attract search traffic?
  • Which search queries generate clicks?
  • Is organic traffic increasing?

Direct traffic answers a different question:

How many visits were not reliably attributed to another source?

Both metrics are useful, but they represent different things.

Direct Traffic Does Not Replace Search Console Data

Analytics and search-performance tools provide different types of information.

Google Search Console can show:

  • Search impressions
  • Search clicks
  • Search queries
  • Average position
  • Pages appearing in search results

Bing Webmaster Tools provides similar information for Bing.

Analytics, on the other hand, focuses primarily on what happens after visitors reach the website.

For SEO analysis, using both types of data gives a more complete picture.

Analytics vs Server Logs

Server logs can be particularly useful when investigating suspected bot traffic.

Analytics records visits that successfully reach the analytics tracking system, while server logs record requests made directly to the web server.

This means a bot that does not execute JavaScript may appear in server logs without appearing in Google Analytics.

Therefore, when Direct traffic looks unusual, comparing analytics data with server logs can help determine whether automated requests are contributing to the increase.

How to Reduce Misclassified Direct Traffic

Some Direct traffic is unavoidable, but proper tracking can improve attribution.

Website owners should:

  • Use tracking parameters for marketing campaigns.
  • Properly tag email links.
  • Configure advertising URLs correctly.
  • Maintain consistent HTTPS usage.
  • Check redirects for lost referral information.
  • Verify that analytics tracking is installed correctly.
  • Use appropriate tracking parameters when sharing campaign links.

The goal is not to eliminate Direct traffic.

The goal is to make traffic attribution as accurate as possible.

Short Troubleshooting Checklist

If Direct traffic suddenly increases, check:

1. Campaign tracking
Are email, advertising, and marketing links properly tagged?

2. Redirects
Could a redirect be removing referral or campaign information?

3. Analytics implementation
Is the tracking code working correctly on all important pages?

4. Traffic behavior
Are the visitors engaging normally, or are there unusually large numbers of one-page sessions?

5. Traffic patterns
Did the increase happen suddenly or at regular intervals?

6. Server logs
If bot traffic is suspected, do server logs show a corresponding increase in automated requests?

7. Other traffic channels
Did Organic Search, Referral, Social, or Email traffic suddenly decrease at the same time? This can sometimes indicate that traffic has been incorrectly attributed to Direct.

Should Direct Traffic Be Considered Good or Bad?

Direct traffic is neither inherently good nor bad.

A visitor who types a domain manually can be highly valuable. A returning visitor using a bookmark can be equally valuable.

At the same time, Direct traffic can include visits whose original source was lost, and in some circumstances automated traffic may contribute to the numbers.

The important question is therefore not:

“Is Direct traffic high?”

A better question is:

“Why is Direct traffic high, and what behavior does it represent?”

The Bigger Picture

Website traffic should be evaluated as a collection of different channels rather than through a single metric.

Organic Search shows how effectively search engines introduce visitors to a website.

Direct represents visitors arriving directly or visits whose original source could not be reliably identified.

Referral shows traffic coming from other websites.

Social shows traffic originating from social platforms.

Paid Search shows traffic generated through paid search advertising.

Together, these channels provide a much more useful picture of a website’s overall traffic.

Conclusion

Direct Traffic in SEO and website analytics does not simply mean visitors who typed the website address into their browser.

It is better understood as traffic for which the analytics system could not reliably identify another referring source.

Some Direct visitors may have typed the URL or used a bookmark. Others may have arrived through email, messaging applications, documents, or links where referral information was unavailable. Automated traffic can also contribute in some circumstances.

Most importantly, Direct traffic should not automatically be interpreted as either human traffic or bot traffic.

For SEO analysis, Direct and Organic Search should be examined separately. Organic Search tells website owners about traffic attributed to unpaid search results, while Direct provides information about visits that arrived directly or could not be reliably attributed to another source.

By combining analytics data with search-performance data and, when necessary, server logs, website owners can develop a much clearer understanding of where their visitors are coming from and how their websites are being used.

Does 0 Keywords in Google Search Console Mean 0 Google Impressions?

Team Webnzee · September 30, 2026 · Leave a Comment

Website owners often look at Google Search Console and notice that a website has 0 search queries, sometimes informally described as having “0 keywords.” A common question then arises:

Does 0 keywords mean that Google generated 0 impressions for the website?

In most situations, if Google Search Console shows no recorded search queries for a selected period, the website will also have little or no measurable search visibility. However, understanding the relationship between queries, impressions, indexing, rankings, and clicks is important because these are different concepts.

What Does a “Keyword” Mean in Google Search Console?

Google Search Console generally uses the term query, rather than keyword.

A query is the search term that a user entered into Google when the website appeared in Google’s search results.

For example, a user might search:

best calculus website

If a page from a website appears in the results for that search, Google can record that query in the site’s Search Console performance data.

Therefore, when website owners refer to “keywords in Search Console,” they are usually referring to the Queries dimension.

Google explains that the Queries report shows the search terms that led to the site appearing in Google Search.


The Relationship Between Queries, Impressions and Clicks

The simplest way to understand Google Search performance is:

Search query → Website appears → Impression → Click

For example:

A person searches for:

differential calculus examples

Google displays a page from a website in the results.

That appearance can produce an impression.

If the person clicks the result, it produces a click.

Google defines an impression as an occasion when a link to a website appears in Google Search and is considered visible according to the rules applicable to that search result type.

The important point is that:

An impression does not require a click.

A website could therefore have:

  • 100 impressions
  • 5 clicks

The resulting CTR would be:

5 ÷ 100 = 5%

Google Search Console calculates CTR from clicks divided by impressions.


Does 0 Queries Mean 0 Impressions?

For a normal Search Console Search results report, if a website genuinely has 0 impressions during the selected period, there will generally be no search queries producing those impressions.

In practical terms:

0 impressions → no recorded search visibility → no recorded search queries

However, the reverse should be interpreted carefully.

A Search Console table showing no visible queries does not always prove that there were absolutely no impressions.

Google does not expose every query in the Queries table.

Some queries are anonymized for privacy reasons, and Search Console also limits the amount of query data shown in its tables. Google states that anonymized queries can be omitted from the table while still being included in chart totals.

Therefore, website owners should look at the total Impressions metric at the top of the Performance report, rather than relying only on the number of visible rows under Queries.


A Crucial Difference: Indexed Does Not Mean Ranking

This is one of the most important concepts for website owners.

A page can be:

Indexed by Google

without generating:

Search impressions

Google defines an indexed page as one that Google has crawled, analyzed and stored in its index. An indexed page can potentially appear in Google Search, but indexing itself does not mean that the page is actually receiving search visibility.

For example, suppose a website has 50 indexed pages.

That does not necessarily mean:

50 pages are receiving Google traffic.

The pages may be indexed but rank so poorly, or for such rarely searched queries, that they generate little or no measurable search activity.

The distinction can therefore be represented as:

Crawled → Indexed → Eligible to appear → Appears in Search → Impression → Click

Each stage is different.


Example: A Website With 50 Indexed Pages and 0 Impressions

Consider a hypothetical website with:

  • 50 published pages
  • 40 indexed pages
  • 0 clicks
  • 0 impressions
  • 0 visible queries

There is no contradiction here.

Google may have successfully indexed the pages while those pages have not generated measurable appearances in Google Search during the selected period.

This means that the website has an indexing presence, but not necessarily a measurable search performance presence.

This distinction is particularly important for newer websites.


Another Example: Indexed Pages With 20 Impressions

Consider another website:

Search Console metricResult
Indexed pages40
Impressions20
Clicks1
Queries shown3

This means Google has indexed the pages and has also shown the website in Search on some occasions.

The website therefore has some measurable search visibility.

The number of indexed pages and the number of impressions are not expected to match.

40 indexed pages does not mean 40 impressions.

One indexed page could generate hundreds of impressions, while another indexed page might generate none.


What If Search Console Shows 0 Queries but Impressions Exist?

This is also possible.

Suppose Search Console shows:

Impressions: 35

but the Queries table appears empty or contains fewer queries than expected.

That does not necessarily indicate an error.

Google specifically says that some queries are anonymized and omitted from the table. It also limits the amount of query data that can be displayed. The chart totals can therefore differ from the sum of the visible query rows.

This is especially relevant for websites with very small amounts of search traffic.

A small website might receive impressions from several rare searches without seeing every individual search term in the Queries table.


Why “0 Keywords” Should Not Automatically Be Interpreted as “Google Has Not Indexed the Website”

This is a common misunderstanding.

The following are four separate measurements:

1. Indexed pages

This answers:

Has Google stored the page in its index?

2. Queries

This answers:

For which search terms did Google record the site appearing in Search?

3. Impressions

This answers:

How many times did the website appear in Google Search?

4. Clicks

This answers:

How many times did users click from Google Search to the website?

They form a progression, but they are not interchangeable.


A Useful Diagnostic Table

Search Console situationWhat it generally means
0 indexed pagesGoogle has not indexed the relevant pages
Indexed pages + 0 impressionsPages may be indexed but have no measurable Search visibility
Indexed pages + impressions + 0 clicksWebsite is appearing, but nobody is clicking during the period
Impressions + clicksWebsite has measurable Search traffic
Impressions + visible queriesGoogle is recording search terms associated with the appearances
Impressions but fewer visible queries than expectedSome queries may be anonymized or omitted from the table

This table should be treated as a diagnostic framework rather than a set of absolute rules because Search Console data has privacy, aggregation and reporting limitations.


Why a Website Can Have Indexed Pages but Almost No Impressions

Several situations can produce this outcome.

1. The pages are new

A newly published page may take time to establish search visibility.

Google itself notes that newly added Search Console properties can take up to a week to begin generating data, although this is different from the time required for a page to rank.

2. The pages target highly competitive searches

A page can be indexed while ranking far behind established competitors.

Being indexed therefore does not guarantee meaningful visibility.

3. The pages target queries with very little search demand

A page may technically be relevant to a search term that almost nobody enters into Google.

In such a case, even a good ranking may generate few impressions.

4. Google has not yet established strong relevance

A newer website may contain useful content but still have limited search visibility while Google evaluates its content and relevance.

5. The website has experienced a ranking decline

An established website can also move in the opposite direction.

A website that previously generated thousands of impressions could eventually fall to a very small number of impressions if its pages lose visibility.

Therefore, a sudden movement from measurable impressions to zero is more significant than a newly launched site starting with zero impressions.


The Most Important Number to Watch

When evaluating whether a website has Google visibility, the Impressions number is particularly useful.

For example:

Website A

Indexed pages: 30
Impressions: 0
Clicks: 0

The website may be indexed, but Search Console is recording no measurable Search visibility for the selected period.

Website B

Indexed pages: 30
Impressions: 500
Clicks: 12

This website has clearly established some measurable Google Search visibility.

Website C

Indexed pages: 30
Impressions: 10,000
Clicks: 300

This website is generating substantially more Search exposure and traffic.

The number of indexed pages alone cannot distinguish these situations.


Why Search Console Is More Important Than a Third-Party “Keyword Count”

Third-party SEO tools can be useful for estimating rankings, discovering competitors and tracking keyword positions.

However, when the question is:

How many times did Google actually show this website in Search?

Google Search Console is the more direct source because its Performance report is based on the property’s actual Search performance data.

Google states that the Search results Performance report measures how the site performs in Google Search and provides clicks, impressions, CTR and position data.

This makes Search Console particularly useful when diagnosing a website that appears to have lost visibility.


A Better Way to Diagnose “0 Keywords”

Instead of asking only:

Does the website have 0 keywords?

a website owner can ask five questions:

1. Are the important pages indexed?

Check:

Search Console → Indexing → Pages

2. Are there any impressions?

Check:

Performance → Search results → Impressions

3. Are there any clicks?

Check:

Performance → Search results → Clicks

4. Are any queries being recorded?

Open:

Performance → Search results → Queries

5. Has the situation changed recently?

Compare different date ranges.

For example:

Last 3 months vs previous 3 months

This can reveal whether the website is:

  • gradually gaining visibility,
  • remaining invisible,
  • or losing previously established visibility.

The Most Useful Mental Model

Website owners can think of Google Search as a series of stages:

Page published

↓

Google discovers the page

↓

Google indexes the page

↓

Google considers the page for relevant searches

↓

The page appears in Search

↓

Impression is recorded

↓

User clicks

↓

Website receives organic search traffic

A page can stop at any stage.

That is why:

Indexed ≠ Ranking

Ranking ≠ Impression

Impression ≠ Click

And:

Click ≠ Conversion

Each represents a different stage of the search journey.


What “0 Keywords” Really Means

When Google Search Console shows no recorded queries for a website during a particular period, the most useful interpretation is:

The website has no visible search-query data in the selected Search Console report for that period.

If the Performance report also shows:

0 impressions

then there is no measurable Google Search visibility recorded for that period.

That still does not automatically mean that the website is not indexed.

The Indexing report must be checked separately.

This distinction can prevent a common SEO mistake: assuming that an indexing problem exists simply because a website has no search traffic.


Conclusion

“0 keywords” in Google Search Console should primarily be understood as 0 recorded search queries in the report, rather than as proof that Google has not indexed the website.

The most important distinction is between indexing and search visibility.

A website can be fully indexed and still have:

0 impressions → 0 clicks

because its pages are not generating measurable appearances in Google Search during the selected period.

Conversely, a website can have impressions even when the Queries table does not display every individual search term because Google limits and anonymizes some query data.

For this reason, website owners evaluating their SEO performance should examine Indexing, Impressions, Queries, Clicks and Average Position together, rather than treating a single “keyword” number as a complete picture of Google visibility.

The key question is not simply:

“How many keywords does the website have?”

It is:

“Is Google indexing the pages, showing them in Search, and generating measurable impressions and clicks?”

That provides a much more accurate picture of a website’s actual organic search presence.

Public Analytics Reports for WordPress: A Practical Way to Share Website Performance

Team Webnzee · September 30, 2026 · Leave a Comment

Website analytics are essential for understanding whether a website is attracting visitors, appearing in search results, and growing over time. However, sharing that information is not always straightforward. A website owner may have Google Analytics 4 and Google Search Console configured correctly, but a client, team member, potential buyer, or business partner may not want—or need—to log into those platforms.

Public Analytics Reports provides a WordPress-based presentation layer for selected Google Analytics 4 and Google Search Console data. It allows website performance information to be presented through a clean, shareable WordPress page while keeping the underlying Google credentials restricted to the website administrator.

GitHub repository:

https://github.com/SplendidDigital/Public-Analytics-Reports


What Is Public Analytics Reports?

Public Analytics Reports is a WordPress plugin that connects a WordPress installation with:

  • Google Analytics 4
  • Google Search Console

It then presents selected information in a simplified report designed to be viewed from a normal WordPress Page or Post.

The plugin includes reporting periods of 7, 14, 28, and 90 days, along with traffic, search, content and filtering capabilities. It can also manage reports for multiple websites from the same WordPress installation.

The important distinction is that the plugin does not replace Google Analytics or Search Console. Instead, it provides a convenient WordPress interface for presenting selected information from those services.


Why Is a Public Analytics Report Useful?

The biggest advantage is simple:

People can review selected website performance information without being given access to the underlying Google Analytics account.

This creates several practical applications.


1. Particularly Useful for Website Flipping

One of the most interesting applications is the website flipping and digital-asset marketplace business.

When a website is offered for sale, potential buyers commonly want to know:

  • How much traffic does the website receive?
  • Where do visitors come from?
  • Which countries generate traffic?
  • Which devices are used?
  • How much traffic comes from organic search?
  • How many Google Search impressions does the site receive?
  • Which search queries generate visibility?
  • Which pages attract visitors?

Traditionally, a seller might provide screenshots from Google Analytics or Search Console.

Another approach is to give the buyer temporary analytics access.

Both approaches have limitations.

Screenshots are static, while giving someone account access can introduce unnecessary access and security concerns.

Public Analytics Reports provides another option.

A seller can create a dedicated WordPress analytics page for the website and place the report URL alongside the website’s sales listing.

For example, a dedicated report can be generated using:

[public_analytics_report domain="example.com"]

The GitHub documentation specifically describes this use case for website sellers and digital-asset marketplaces.

This can make an analytics page part of a website’s sales presentation.


2. Live Analytics Instead of Screenshots

A screenshot represents a particular moment.

For example, a seller might take a screenshot showing:

June 30 – September 27

But as time passes, the screenshot becomes historical.

A WordPress analytics page can instead provide a continuously accessible report based on the configured reporting period.

This is useful when a website is being marketed for several weeks or months.

A potential buyer can revisit the report and see the currently available reporting data rather than relying exclusively on an old screenshot.

The plugin also provides a PDF download option, so both approaches can coexist:

Live report → ongoing inspection

PDF → convenient snapshot or documentation

The repository lists PDF downloading as one of the plugin’s features.


3. A Useful Tool for Website Brokers

Website brokers frequently need to communicate information between:

Seller → Broker → Potential Buyer

Analytics can become repetitive during this process.

Instead of repeatedly preparing screenshots, a broker can provide a dedicated analytics URL.

For example:

https://example.com/website-analytics/

with the WordPress page containing:

[public_analytics_report domain="example.com"]

The broker can then use the same report page when communicating with multiple prospective buyers.

This can make analytics presentation more standardized.


4. Useful for Website Portfolios

A company managing several websites can configure multiple properties within the plugin.

The repository describes a multi-site selector that displays websites alphabetically.

This creates a useful portfolio dashboard.

For example:

Calnzee.com
DigitalSplendid.com
Flipnzee.com
Progaiz.com
Statnzee.com
Webnzee.com
Wpnzee.com

Instead of creating completely separate analytics systems, an administrator can maintain multiple website listings within the same WordPress installation.

The general shortcode is:

[public_analytics_report]

An individual website can then have its own dedicated report:

[public_analytics_report domain="calnzee.com"]

The plugin’s repository documents both the general and domain-specific shortcode approaches.


5. Useful for Teams

Not everybody who needs website performance information needs access to Google Analytics.

Consider a small team consisting of:

  • Website owner
  • Content writer
  • SEO specialist
  • Marketing employee
  • Project manager
  • Developer

The website owner may be comfortable working inside Google Analytics.

The other members may simply need answers to questions such as:

Are visitors increasing?

Which channels are producing traffic?

Which countries are visiting the site?

Which pages are performing?

Is Google Search generating impressions?

A dedicated WordPress report can provide those answers without requiring every team member to learn the complete Google Analytics interface.

The repository identifies small-team website management, agency reporting, SEO progress reporting and content-performance monitoring among potential uses.


6. Client Reporting for Agencies

Agencies managing websites for clients often need to communicate performance regularly.

A conventional process might involve:

  1. Open Google Analytics.
  2. Select the website.
  3. Select the date range.
  4. Export information.
  5. Prepare screenshots.
  6. Create a report.
  7. Send it to the client.

A dedicated analytics page can reduce some of this repetitive work.

The client can simply open the report page.

For example:

https://clientwebsite.com/analytics-report/

The agency can configure the page to show the relevant website’s data.

This makes the WordPress website itself a convenient reporting interface.


7. SEO Progress Monitoring

Google Search Console provides information that is particularly valuable for SEO.

Public Analytics Reports can present selected Search Console information alongside Google Analytics data.

This allows someone reviewing a website to consider both:

Search visibility

  • Impressions
  • Clicks
  • Search queries

Website traffic

  • Visitors
  • Sessions
  • Traffic channels
  • Locations
  • Devices
  • Content

This combination is useful because search visibility and website traffic answer different questions.

A website can receive search impressions without receiving many clicks. Likewise, traffic can come from channels other than organic search.

Looking at both sources gives a broader picture of website performance.


8. Filters Make the Report More Useful

A large analytics report can contain a lot of information.

Public Analytics Reports therefore provides filters for areas such as:

  • Traffic source/channel
  • Country
  • Device
  • Content/page
  • Search query

This allows the viewer to narrow the information rather than examining the entire report at once.

For example, someone evaluating an international website could examine country-level performance.

An SEO specialist could concentrate on search queries.

A content manager could investigate individual pages.


9. Multiple Reporting Periods

Different situations require different time periods.

The plugin supports:

  • 7 days
  • 14 days
  • 28 days
  • 90 days

This makes the report useful for both short-term monitoring and longer-term evaluation.

For example:

7 days
Useful for recent activity.

28 days
Useful for a monthly-style view.

90 days
Useful when evaluating a website’s broader recent performance.


10. Google Credentials Are Not Intended for Public Visitors

One of the important architectural characteristics of the plugin is that public visitors do not need to authenticate with Google Analytics.

The repository states that Google OAuth credentials remain on the WordPress installation rather than being exposed to public visitors.

This means the intended model is:

Administrator

→ connects Google Analytics/Search Console

→ configures the website

→ publishes selected analytics through WordPress

Visitor / Client / Buyer

→ opens the report page

→ views the selected information

This separation is particularly useful when analytics need to be shared without giving people access to the underlying Google account.


11. Particularly Interesting for Digital-Asset Marketplaces

The website-flipping use case can be extended into a broader digital-asset marketplace model.

A marketplace listing might contain:

Website information

  • Domain
  • Website description
  • Asking price
  • Technology
  • Monetization information

Analytics information

  • Visitors
  • Sessions
  • Traffic sources
  • Search impressions
  • Search clicks
  • Top queries
  • Top pages
  • Geographic information

The analytics report can therefore become another component of the marketplace listing.

This is especially useful when the marketplace wants prospective buyers to perform their own preliminary due diligence.


12. Public Report Does Not Mean Public Google Analytics Access

This distinction is important.

The purpose of the plugin is not to expose the Google Analytics account itself.

Instead, it provides a selected presentation of analytics information through WordPress.

That means the website owner controls:

  • Which website is reported
  • Which WordPress page contains the report
  • Which reporting periods are available
  • Which information is presented
  • Whether a dedicated report is created for an individual website

The underlying Google services remain the source of the data.


13. A Simple WordPress Implementation

A general analytics page can use:

[public_analytics_report]

For a specific website:

[public_analytics_report domain="calnzee.com"]

This makes it possible to create separate pages such as:

/calnzee-analytics/
/webnzee-analytics/
/wpnzee-analytics/
/progaiz-analytics/

Each page can contain a fixed website report.

The same plugin can therefore support both a portfolio-style analytics page and individual website analytics pages.


14. Who Can Benefit From It?

Public Analytics Reports can be useful for:

UserPossible use
Website flippersDemonstrate traffic and search performance to buyers
Website brokersProvide analytics to prospective buyers
Digital-asset marketplacesAdd analytics pages to listings
AgenciesProvide clients with accessible reporting
Website ownersMonitor their portfolio
SEO specialistsReview search performance
Content teamsExamine page and content performance
Small businessesShare selected performance information
Project managersMonitor website progress
Investors evaluating websitesReview selected traffic and search information

These use cases are consistent with the use cases documented in the project’s repository.


Conclusion

Public Analytics Reports addresses a relatively simple but practical problem: Google Analytics and Search Console contain valuable information, but not everyone who needs that information needs direct access to those platforms.

By bringing selected GA4 and Search Console data into a WordPress report, the plugin creates a convenient middle layer between the underlying analytics services and the people who need to see the results.

For ordinary website owners, it can provide a straightforward progress dashboard.

For agencies, it can simplify client reporting.

For teams, it can make website performance easier to monitor.

And for website flipping, website brokerage and digital-asset marketplaces, it can provide something particularly useful: a dedicated analytics page that can be shared with prospective buyers as part of a website listing.

The project is available as open-source code on GitHub:

https://github.com/SplendidDigital/Public-Analytics-Reports

The repository currently describes the project as a WordPress plugin that turns selected Google Analytics and Search Console data into a simple, shareable report.

Can Google Search Know How Long Visitors Spend on a Web Page?

Team Webnzee · September 22, 2026 · Leave a Comment

One of the most interesting questions in SEO is whether Google Search can know how long a visitor spends on a webpage.

At first glance, the question seems straightforward.

A website owner may have Google Analytics installed and can see metrics such as engagement time, sessions, and user activity. But Google Search is a separate product. A website owner does not give Google Search direct access to the private Google Analytics data of the website.

So how could Google Search possibly know whether visitors find a webpage useful?

The answer lies in an important distinction between Google Analytics data and Google Search’s own interaction data.


Google Analytics and Google Search Are Not the Same Thing

Consider a website that has Google Analytics installed.

The basic process looks something like this:

Visitor → Website → Google Analytics → Website owner’s Analytics property

Google Analytics can collect information about activity on the website, depending on how Analytics is configured.

For example, the website owner might see:

  • Users
  • Sessions
  • Page views
  • Engagement time
  • Traffic sources
  • Landing pages
  • Conversions

This information belongs to the website’s Analytics property.

A website does not need Google Analytics, however, to appear in Google Search.

This leads to an important observation:

Google Search does not need access to a website’s Google Analytics property in order to observe certain interactions involving its own search results.


Google Search Can Observe What Happens Around a Search

Suppose someone searches Google for:

“area under x²”

Google might display several results:

  1. Website A
  2. Website B
  3. Website C

The searcher clicks Website A.

Google Search can observe that a user clicked that particular search result.

Now imagine that the user eventually returns to Google Search.

The sequence might look like this:

Google Search
      ↓
User searches for a topic
      ↓
Google displays results
      ↓
User clicks Website A
      ↓
User spends some time away from Search
      ↓
User returns to Google
      ↓
User either:
   • performs another search
   • clicks another result
   • changes the query
   • ends the search

Google does not necessarily need the website’s Google Analytics installation to observe events occurring within the Search experience.

Google has publicly explained that its Search systems use aggregated and anonymized interaction data to help assess whether search results are relevant to users.

This is an important distinction.


Does Google Therefore Know Exactly How Long Someone Read a Page?

Not necessarily.

This is where SEO discussions can become misleading.

Suppose someone clicks a search result at 10:00 AM and returns to Google at 10:05 AM.

Google may be able to observe that approximately five minutes passed between those Search interactions.

But that does not necessarily mean the person spent five minutes reading the webpage.

During those five minutes, the person could have:

  • read the entire article;
  • opened another browser tab;
  • gone to another application;
  • watched a video;
  • left the browser window open;
  • become distracted;
  • or stopped interacting with the computer altogether.

Therefore:

Time between a Search click and a subsequent Search interaction is not necessarily the same thing as actual reading time on a webpage.

This is why the term “dwell time” should be used carefully.


Google Analytics Engagement Time Is Different

Consider two different measurements.

Google Analytics

A website owner might see:

Average engagement time: 4 minutes

This is a measurement generated within the website’s Analytics environment.

Google Search

Google Search might observe:

User clicked Result A → later returned to Search

That is an interaction occurring around Google’s own Search environment.

These two measurements should not automatically be treated as identical.

For example:

Google Analytics

Visitor
   ↓
Website
   ↓
GA measurement
   ↓
4 minutes of engagement

versus:

Google Search

Search
   ↓
Click result
   ↓
Website
   ↓
Later Search interaction

The second process does not require Google Search to read the website owner’s private Analytics dashboard.


Why This Matters for SEO

A common SEO claim is:

“Google ranks a page higher because visitors spend more time on it.”

That statement is too simplistic.

Google’s publicly available documentation does not establish a simple ranking formula such as:

More time on page = higher ranking.

Google Search uses many ranking systems and signals.

Google has also explained that aggregated and anonymized interaction data can help its systems assess whether search results are relevant.

Consequently, it is more accurate to think of user interaction as one possible source of information about Search-result usefulness, rather than imagining a simple “dwell-time score” assigned to every webpage.


A More Useful Example

Consider two pages targeting the same search query:

“antiderivative of x²”

Suppose Google displays both pages.

A simplified hypothetical sequence could look like this:

Page A

Search
  ↓
Click Page A
  ↓
Return to Search quickly
  ↓
Search for something more specific
  ↓
Click Page B

Page B

Search
  ↓
Click Page B
  ↓
Later return to Search
  ↓
Search session ends

This does not prove that Page B is better.

There could be many explanations for the behaviour.

However, at large scale, aggregated user interactions can provide Google with information that helps its systems evaluate whether search results are satisfying users’ queries.

The important point is that Google can obtain this type of information from the Search experience itself.


Google Does Not Need Every Website to Install Google Analytics

This is perhaps the most important concept.

Imagine that a website does not use Google Analytics at all.

It can still appear in Google Search.

Google can still know:

  • that its page was displayed as a Search result;
  • whether a user clicked the result;
  • what query produced the result;
  • and what happened subsequently within the Search experience.

Therefore, Google’s understanding of Search behaviour cannot depend entirely on Google Analytics.

Otherwise, Google would have very little comparable behavioural information for websites that do not use Analytics.


But There Is an Important Limitation

It would be incorrect to conclude:

“Google can see everything that happens on every website.”

That does not follow from Google’s ability to observe Search interactions.

Google may know that a user clicked a Search result and later returned to Search.

That is different from having unrestricted visibility into everything the user did on the destination website.

A website can have its own:

  • Analytics platform
  • server logs
  • consent configuration
  • tracking systems
  • JavaScript events
  • user accounts
  • conversion tracking

Google Search does not automatically obtain all of that information simply because a page appears in Google.


The Bigger Picture: Search Behaviour Rather Than a Single Metric

It is therefore better to think about Google’s Search systems like this:

                 USER'S SEARCH
                       │
                       ▼
                Google Search
                       │
                ┌──────┴──────┐
                ▼             ▼
           Search result    Search context
                │
                ▼
             Click
                │
                ▼
             Website
                │
                ▼
       Later Search interaction
                │
                ▼
       Aggregated behavioural
             information

The important information is not necessarily:

“This visitor spent exactly 247 seconds on the page.”

Instead, Search can potentially learn from patterns such as:

  • which results users select;
  • how search sessions develop;
  • whether users return to Search;
  • whether users reformulate queries;
  • whether they select another result;
  • and other aggregated interaction patterns.

Google’s machine-learning systems can use many such signals together.


What Website Owners Should Take From This

Website owners should therefore avoid focusing exclusively on Google Analytics metrics.

A page having a high Analytics engagement time does not automatically mean Google will rank it higher.

Likewise, a page having a low Analytics engagement time does not automatically mean Google will demote it.

The more useful objective is to create a page that genuinely satisfies the searcher’s purpose.

For an educational website, that might mean:

  • answering the question clearly;
  • explaining difficult concepts step by step;
  • providing useful examples;
  • using appropriate diagrams;
  • making mathematical notation readable;
  • answering related questions;
  • avoiding unnecessary filler;
  • and making it easy for the reader to continue learning.

If visitors find the page genuinely useful, that usefulness can potentially manifest itself in many different ways — including how users interact with Search results.


The Key Distinction

The issue can ultimately be summarized in three statements.

1. Google Analytics data

A website owner’s Google Analytics data is not simply the same thing as Google’s Search ranking data.

2. Google Search interaction data

Google can observe interactions occurring within its own Search environment and has stated that aggregated and anonymized interaction data can help its systems assess the relevance of search results.

3. Exact time-on-page ranking

There is no public evidence establishing a simple formula such as:

“Google reads GA’s time-on-page metric and gives the page ranking points according to that number.”

That is a much stronger claim than Google’s published documentation supports.


The More Interesting SEO Question

The real question, therefore, is not simply:

“Does Google know how long someone spends on my page?”

A more useful question is:

“What can Google Search observe about user behaviour independently of Google Analytics, and how can aggregated Search interactions help Google’s systems understand whether a result satisfies a searcher’s intent?”

That distinction is important because it explains why a website can receive useful Search feedback even when it does not use Google Analytics.

It also explains why Google Analytics engagement time should not automatically be treated as a direct Google ranking metric.

For website owners trying to understand SEO performance, the emphasis should therefore be less on trying to manipulate a particular “time-on-page” number and more on producing pages that satisfy the underlying search intent clearly and effectively.

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