Microsoft Clarity setup and analysis services: reading where visitors get stuck, straight from the recording.
What is Microsoft Clarity?
Microsoft Clarity is a free user behavior analytics tool that shows how visitors interact with your site through session recordings and heatmaps. Recordings aren’t videos; Clarity captures the page’s HTML structure and the visitor’s clicks, scrolls and mouse movements, and reconstructs the session step by step. Heatmaps aggregate the same interactions across many page views, and signals such as rage clicks and dead clicks show where the friction is. GA4 counts which step the drop-off happens at; Clarity shows what the visitor experienced at that step.
We install Clarity on your site together with masking and the consent signal, and read heatmaps and session recordings against the drop-off step in your GA4 funnel. We back every finding with its recording, turn it into a fix or a test hypothesis, and monitor the effect with the same signals.
1New session from a phonecart page · from a campaign
2On the heatmapRepeated clicks on shipping info; the element isn’t a link.Finding
3yourbrand.com › cartYour Brand | Cart · shipping info open
Clarity work runs in three layers.
01
Setup and privacy
We install the tag in the right project, mask sensitive content, connect the consent signal, and verify that data is actually arriving.
Tag setup
We install the Clarity tag through a single route, whether Google Tag Manager, a WordPress plugin or directly in the head section, and verify the collect request in the browser.
Masking
We choose the masking mode, and hide plain-text fields such as addresses, order summaries and account details element by element or with data-clarity-mask.
Consent signal
We set Consent Mode according to your KVKK decision and pass the cookie banner’s decision to Clarity with the consentv2 call or a consent management platform; we check Google Consent Mode support against Microsoft’s current documentation during setup.
KVKK and privacy notice
Together with your legal counsel, we settle how the use of Clarity is reflected in your privacy notice and cookie policy.
02
Heatmaps and session recordings
We read click, scroll and attention maps by device and page group, and session recordings at the step where the drop-off happens.
Click map
We work out which elements get clicked, which elements visitors mistake for links, and first and last clicks, broken down by device.
Scroll and attention
We read how far down the page visitors get, the average fold, and the sections where they spend the most time.
Rage and dead clicks
We match repeated and unresponsive clicks to recordings, and tell apart a broken element, a slow response and a misleading design.
Session recordings
We favorite and tag evidential recordings before the 30-day retention period runs out.
03
Analysis and action
We narrow the finding down with a segment, confirm it with GA4 data, turn it into a fix or a testable hypothesis, and monitor the effect.
Segments and filters
We save channel, campaign, device and friction filters as segments, and work with the same group of visitors across every report.
GA4 integration
We connect the Clarity project to your GA4 property, and match the drop-off step in GA4 with recordings and maps in Clarity.
Custom tags and events
We record the campaign and test variant on Clarity sessions with custom tags, and critical actions with event calls.
From finding to hypothesis
We write up every finding with its level of evidence; we fix clear bugs, and turn uncertain ones into A/B test hypotheses.
How does a session turn into an improvement?
In Clarity, visits become masked recordings and traces on a heatmap; signals such as rage or dead clicks show where the friction is. We confirm these signals with recordings, turn them into findings and the findings into fixes, and monitor the effect with the same signals.
100,000Clarity records at most 100,000 sessions per project per day; when traffic exceeds that, recordings are sampled.11
30 daysSession recordings are kept for 30 days; favorited recordings are kept for up to 9 months.8
Clarity Masking: Balanced
Session
Heatmap
ClicksScrollAttention42%scroll below the first screen
Heat
Recording · finding
Rage click · 0:38Dead click · 0:52Shipping info gets clicked, but it isn’t a linkSame behavior in 12 recordings · text masked
Finding
Improvement · sessions with rage clicks
BeforeAfterShipping info opened in the cartStart monitoring
Fewer rage clicks · monitoring
Microsoft Clarity work, step by step.
01
Discovery
We listen as you walk us through your site, your measurement setup, your cookie banner and the steps where you think visitors drop off, and set the scope together.
02
Setup and privacy
We create the Clarity project in your account, install the tag through a single route, configure masking and the consent signal, and verify them in the browser.
03
Connections and segments
We add the GA4 connection, custom tags for campaigns and variants, and events for critical actions, and save the segments you’ll use often.
04
First read and findings report
We read friction signals, heatmaps and recordings at the drop-off step, and write up every finding with its evidence and the recommended fix.
05
Fixes and monitoring
We fix clear bugs, turn uncertain findings into test hypotheses, and monitor the effect of each change with the same maps and recordings.
Platforms and tools we work with.
Your data, from every angle, in Data Studio.
Data Studio22 Jun – 19 Sep 2026 ▾
InfoInfoPeriod over periodOverviewKeyword RankingAll PositionsTop 3 positionsPositions 4 - 10Positions 10 - 20Positions 20 +Focus KeywordsContent AnalysisBrand vs. GenericKeyword AnalysisLocationYear over yearOverviewKeyword Ranking
Main FiltersBrand / Generic ▾Device Category ▾Country ▾PeriodYear
Overview
Clicks400K▲ 28%prev. 312K
Impressions4.0M▲ 22%prev. 3.28M
URL CTR10.0%▲ 0.4 ptprev. 9.6%
Avg. Position8.0▼ 3.0prev. 11.0
Unique Queries24.8K▲ 19%prev. 20.8K
Unique Pages6.2K▲ 7%prev. 5.8K
Performance over TimeUrl Clicks (last 90 days)previous 90 daysJulAugSep
Keyword Ranking /All Positions
Queries by Position Group
Total Unique Queries24.8K▲ 19%
Top 3 positions2.2K▲ 34%
Between 4 and 105.2K▲ 27%
Between 10 and 206.4K▲ 16%
Positions 20 and higher11.0K▲ 15%
Clicks by Position Group400K totalTop 358%4–1029%10–209%20+4%
Top 3 share of clicks58% → 58%JulAugSepTop 3232K4–10116K
Url Clicks · 2026 vs 2025JulAugSep2026400K2025204K
Jul112K65.2KAug131K68.5KSep156K70.2K
Sample data.
Click to flip through the screens
The dashboard pulls Search Console and Analytics data at the same time. We update the filters to match the project’s goals and build new screens for each type of conversion step.
We build screens with filters Google’s own interface doesn’t offer. We track your queries separately in the top 3, 4–10, 10–20 and 20+ position groups.
We group keywords into clusters and look at the traffic a project gets from each cluster as a whole. We can compare an online store’s bag and shoe clusters on one screen, by search intent, against the previous period; that is a more useful way to measure success.
To report organic growth honestly, we split traffic into branded and non-branded searches. We analyze non-branded traffic separately; that is where the effect of SEO work shows most clearly.
All these filters show the losses too: not every one of the 25 screens shows green. The same screens reveal the swings caused by algorithm updates, and our recovery work starts there.
We track every keyword one by one: impressions, clicks, CTR and position on the same row. Where a keyword moves up but clicks don’t follow, we start work on the title and description.
We keep the city the traffic comes from on a separate screen. For brands with physical stores, the city breakdown decides where the budget and content go.
We compare with the same period last year: is it seasonality or real growth? A screen that looks good against the previous 90 days may be standing still against last year.
We wrote this guide for marketing, product and ecommerce teams who want to set up Microsoft Clarity on their site, or who already have it running but can’t turn its heatmaps and session recordings into a concrete decision. Every setting, limit and definition we describe is based on the Clarity documentation on Microsoft Learn; the sources are listed by number at the bottom of the page. We verified features and limits against the source as of September 2026, and because Microsoft updates its documentation often, we check again on every setup. Our own field observations are marked separately under the heading “Expert note”.
Our Clarity work runs in three layers: setting up the tag together with masking and the consent signal; reading heatmaps and session recordings with the right question; and confirming each finding with segments and GA4 data, then turning it into an improvement. We cover Clarity’s overall place in conversion work on our CRO consulting page; this page goes into the tool itself, its settings and its limits. We run our own site, markention.com, on the same stack: a WordPress theme, GA4, Google Tag Manager and Clarity.
What is Clarity, and how is it different from GA4?
Clarity is a user behavior analytics tool that shows how visitors interact with your site through session recordings and heatmaps.1 Microsoft says Clarity is free forever, has no traffic limits and will never force you to upgrade to a paid version.1 GA4 counts how many people drop off at which step; Clarity shows what the visitor actually did at that same step. Clarity’s three working surfaces break down like this:
Surface
What it shows
The question it answers
Dashboard
Rage and dead clicks, excessive scrolling, quick backs, JavaScript errors, smart events and funnels9
Where is friction concentrated?
Heatmaps
Click, scroll, area, conversion and attention maps6
Which part of the page gets seen, and which gets clicked?
Alongside these three surfaces, the Clarity documentation also covers AI Visibility: how often the site appears in AI and superintelligence answers, and how AI crawlers access it (Bot Activity); Bot Activity requires a connection to a supported CDN such as Cloudflare, Fastly or Amazon CloudFront.1 Microsoft also notes that bot access doesn’t guarantee your content was used or cited in an answer.1 We cover the whole subject on our GEO consulting page.
One usage limit is worth knowing up front: Microsoft states that Clarity shouldn’t be used on sites and apps that target users under 18.2 That’s why we don’t install Clarity on sites aimed at children or teenagers.
Setup and privacy: how do you install Clarity and verify the setup?
Clarity is installed by adding a tracking code unique to each site; the code can be added manually to the site’s <head> section, through a supported third-party platform, or with the NPM package.2 The same code can be used across a site’s subdomains;2 for different domains, Microsoft recommends creating separate projects, and says Clarity works with tools such as WordPress, WooCommerce, Shopify and Google Tag Manager.1 There are two ways to verify: live sessions appearing in the project, and POST requests to clarity.ms/collect in the browser’s network tab.2
The Clarity script loads asynchronously, and Microsoft says it doesn’t affect page load speed.1 Bot detection is on by default, and bot sessions are excluded from the total session count.2 There are also areas the setup can’t see: Clarity can’t capture the inside of canvas elements or third-party iframes.2 If the payment step runs in a payment provider’s iframe, what happens inside it won’t show in recordings; we read drop-off at that step from GA4 events instead.
Masking: which content never reaches Clarity?
Masked content is never uploaded to Clarity; Clarity masks sensitive content by default and doesn’t capture anything that’s masked.3 The contents of input boxes are masked in every masking mode, and that behavior can’t be changed; dropdown menus are also masked in every mode.3 There are three masking modes: Strict masks all content, Balanced (the default) masks only sensitive content such as numbers and email addresses, and Relaxed masks nothing except input boxes and dropdowns.3 The site-wide mode can be overridden element by element with a CSS selector in the dashboard, or with the data-clarity-mask=”true” and data-clarity-unmask=”true” attributes added to the HTML; the attribute takes precedence over the dashboard setting.3
Masking doesn’t work retroactively
A change to the masking setting applies only to new recordings, can take up to an hour to take effect, and can’t be applied to older recordings.3 Nor can you delete a single visitor’s data on its own: Microsoft says the whole project must be deleted to delete user data.1 That’s why we finish masking before the tag goes live.
Masking has two blind spots: Clarity doesn’t mask content inside stylesheets and style tags, and only project admins can change masking settings.3 We list every template where personal information shows as plain text, such as the confirmation page, the account screen and the order summary, mask each one, then check it in a new recording.
How is the consent signal passed to Clarity?
The consent signal is the decision made in the cookie banner, reported to Clarity through Clarity’s consent API, a supported consent management platform (CMP), a third-party platform integration, or Google Consent Mode.4 Clarity handles two consent types:4
Consent type
Status
How Clarity behaves
analytics_storage
Granted
The tag loads, cookies are set, and every feature works
analytics_storage
Denied
The tag loads, but only cookieless data is collected; some features may not work
ad_storage
Granted
Data is shared with Microsoft Ads for remarketing and conversion measurement
ad_storage
Denied
No data is shared with Microsoft Ads
If you use a custom cookie banner, the decision is passed with a window.clarity(“consentv2”, …) call that sends the ad_Storage and analytics_Storage values separately; Microsoft describes this call as the recommended replacement for the older consent API, which is being deprecated.13 If the visitor denies consent, Clarity deletes its existing cookies, ends the current session, and keeps running in cookieless mode on later visits until consent is granted.13
Since October 31, 2025, Clarity looks for a valid consent signal on visits from the European Economic Area, the United Kingdom and Switzerland; in these regions it doesn’t set cookies until consent arrives, deletes its existing first-party cookies if consent is denied, and treats a granted consent as valid for up to 9 months.4 Türkiye isn’t on this list; Microsoft says sites with no traffic from these regions aren’t affected, but recommends setting up the signal wherever it’s relevant, since enforcement may expand to other regions and new visitors may arrive from these ones.1 Consent Mode is on by default only for visits from these three regions; for other visits, it’s turned on in the project settings.4 Clarity doesn’t currently respond to the browser’s Do Not Track signal, but it does support Global Privacy Control (GPC); data is stored in the Microsoft Azure cloud.1
The decision for visitors in Türkiye
Even though Clarity’s regional rule doesn’t cover Türkiye, obligations under KVKK, Türkiye’s personal data protection law, are a separate matter. We settle the privacy notice, cookie consent and the cross-border transfer question together with your legal counsel, and set Consent Mode and the technical setup to match that decision. Whatever decision your cookie banner makes, we make sure Clarity makes the same one.
How do reports change for visits without consent?
On a visit without consent, Clarity can’t stitch the same visitor’s pages into a single session, and counts every page view as a new session.5 The table shows rows we picked from Microsoft’s list, and how we handle each one when reading reports:5
Report
What happens without consent
What we do when reading it
Session count
Every page view counts as a separate session
We don’t compare session counts with GA4
Pages per session
Becomes 1
We read page depth in consented sessions
Funnels
A multi-step funnel shows a full drop-off at every step
We read multi-page funnels in GA4
Returning users
No user is counted as returning
We don’t compare new and returning visitors
Channel and source
The “Other” channel and the “Direct” source grow
We rely on GA4 for the channel breakdown
User intent
More sessions get the “low intent” label
We don’t treat the intent label as evidence on its own
What do the different heatmap types show?
A heatmap is a visualization that aggregates how visitors interact with a page across many page views and shows it in color; Clarity tracks clicks and scrolls on desktop, tablet and mobile and generates the map automatically.6 There’s no minimum traffic requirement for a map, and one can be generated for a single page or a group of pages.6 Click maps are built on the element that was clicked rather than the absolute position of the mouse on screen; Microsoft says this approach gives accurate results across screen sizes and responsive layouts.6 Clarity offers five map types:6
Map
What it shows
The question it answers
Click map
The most clicked elements, including clicks on elements that aren’t links7
Is the call-to-action button getting attention?
Scroll map
The share of visitors reaching each part of the page, and the average fold
Is the important content being seen?
Attention map
Time spent on each part of the page
Where do visitors pause, and what do they skim past?
Area map
Total clicks on all elements within a selected area
How much attention does a section get as a whole?
Conversion map
Which clicks lead to a purchase on an ecommerce site
Which areas contribute to sales?
The click map has six views: all clicks, dead clicks, rage clicks, error clicks, first clicks and last clicks; first clicks help you understand how visitors start on the page, and last clicks help you spot flow patterns.7 A heatmap is built from at most 100,000 page views, with the applied filters.7 From an element in the left panel you can jump to the recordings where it was clicked, and copy the element’s CSS selector.7 Because maps are built on an element’s attributes rather than its content, they’re still generated with masking on, and this data stays accessible for up to 9 months.1
How do you read a session recording, and how long is it kept?
A session recording isn’t a video; Clarity captures the page’s HTML structure and the visitor’s actions, and reconstructs the session step by step.8 A session ends after 30 minutes of inactivity; if the visitor later returns to the same tab, a new session starts.8 Recordings are kept for 30 days; after that, 1% of recordings or 10 recordings a day, whichever is greater, are kept for up to 9 months, and favorited recordings are also kept for up to 9 months.8
There’s a recording quota too: Clarity records at most 100,000 sessions per project per day; if traffic exceeds that, it samples recordings, so on a site with 200,000 sessions a day it keeps one recording in every two.11 To prioritize recordings of important flows such as the cart, you use the upgrade API.11 Clarity also offers the option to summarize the first 10 recordings in the session list, or selected recordings, with AI.8
What do rage clicks, dead clicks and other friction signals tell you?
Friction signals are moments Clarity flags automatically when a visitor doesn’t get the response they expected; each one raises a question and isn’t evidence on its own. Clarity defines them like this:9
Rage click: the visitor clicks rapidly and repeatedly in a small, clustered area; it can be a strong sign of frustration with an element they expected to be interactive.
Dead click: no visual change or page transition follows the click within a reasonable time; it can point to a broken element, a slow request or a misleading design.
Excessive scrolling: vertical scrolling in the session is above the expected average; it can point to a demanding interface, content that isn’t relevant, or something the visitor can’t find.
Quick back: the visitor follows a link to another page and comes back sooner than the threshold set for that page; it shows the navigation didn’t serve them.
Error click: a JavaScript error that occurs after a click; these sessions are tagged automatically.
These signals also work as filters; rage and dead clicks, excessive scrolling and quick backs sit in the user actions group on the filter screen.10 One use Microsoft suggests: set the scroll depth filter below the site’s average fold and watch recordings of visitors who left without ever reaching it.10
A rage click asks a question; the answer is found in the recording, the heatmap and the code.
Same signal, different cause
The three possible causes of a dead click above call for very different fixes: a broken element needs a code fix, a slow request needs server or speed work, and a misleading design needs an interface change. We don’t recommend a fix until we’ve watched the recording and seen the clicked element, the network request and the state of the page at that moment together.
How do segments, custom tags and the GA4 integration narrow down a finding?
A finding narrows down to a single group of visitors when filters are saved as segments and combined with custom tags and GA4 data. Clarity groups more than 30 filters into nine categories; the traffic group includes UTM source, medium and campaign, along with channel values that separate traffic arriving from AI and superintelligence platforms.10 Frequently used filter combinations are saved as segments; the LCP, INP and CLS filters in the performance group also isolate recordings of slow sessions.10
Clarity’s client API is used to add site-specific information to a session: a window.clarity(“set”, key, value) call records a custom tag, and a window.clarity(“event”, name) call records a custom event; in Microsoft’s own example, the tag carries the name of an experiment.11 In an A/B test, tagging each session with its variant name lets you see in recordings which variant produced which friction; whether the difference is significant is a matter of the calculation we explain on our A/B testing page.
The GA4 connection is set up by signing in with a Google account from Clarity’s settings; through it, Clarity pulls GA data and shows it in its own Google Analytics dashboard, which Microsoft recommends using to troubleshoot user issues.12 For now, only one web property can be connected to each Clarity project.12 We open the drop-off step we find in GA4 in Clarity with the same page and campaign filters, and dig into the recordings and maps. The two tools’ numbers aren’t expected to match exactly; bot filtering and consent status are handled differently on each side.
How our Clarity analysis services work in the first 30 days
The work of the first 30 days is to verify the setup and privacy, let data accumulate, and write findings up with their level of evidence. We go in this order:
Week 1 · Setup and privacy: the Clarity project is created in your account, the tag is installed through a single route, masking and the consent signal are configured; the collect request and cookie behavior are verified in the browser.
Week 2 · Connections: the GA4 connection, campaign and variant tags and critical events are added; bot sessions and internal traffic are checked, and segments are saved.
Week 3 · First read: friction signals, heatmaps and recordings at the drop-off step are read by device and channel; evidential recordings are tagged.
Week 4 · Findings report: each finding is written up with its evidence, the page it affects and the recommended fix; clear bugs go to fixing, and uncertain ones become test hypotheses.
Data starts flowing right after setup; according to Microsoft, it takes a few hours to show in the dashboard.1 Maps and friction signals need enough visits to the page to be read meaningfully, which is why we schedule the first read for the third week.
Setup only, or heatmap analysis services?
Installing Clarity is quick; the value comes from reading recordings regularly and turning them into decisions. There are three ways to work, depending on your needs:
Way of working
Scope
Best fit
Setup only
Tag, masking, consent signal and verification
Companies with a product or UX team that reads recordings
Setup plus monthly analysis
Heatmap and session recording reviews on top of setup, segments, a findings report
Companies that want to see where friction is but can’t spare people to read recordings
Analysis plus conversion work
Turning findings into test hypotheses, design and code fixes
Sites that want to reduce drop-off at checkout or a lead form
We cover the fixes and tests that come out of findings on our CRO consulting page.
How to choose a Microsoft Clarity consultant
Project ownership: the Clarity project is created in your account, and the partner is added as a member.
Masking checks: the partner shows, template by template on a fresh recording, that personal data is masked.
Consent signal: how the banner decision reaches Clarity, and how that’s verified in the browser, is explained.
Evidence-based findings: each finding is backed by recordings, maps and GA4 data; a single rage click isn’t treated as a decision.
Measurable language: no promise of “guaranteed conversion growth”; how a fix’s effect will be measured is written down first.
What drives Clarity setup and analysis pricing?
There is no license fee for Clarity itself; the scope of the work sets the service fee:
Factor
How it affects pricing
Number of sites and domains
Each domain needs its own project, tag and verification
Masking and consent setup
How many templates show personal data, and the link to the consent management tool
Number of flows to read
Steps to review, such as product, cart, checkout or lead form
Reporting rhythm
A one-off findings report or monthly reviews
We work out the scope together in the first meeting and then send a written proposal.
Microsoft Clarity pricing: estimated ranges
Scope
Specialist effort
Estimated fee (excl. VAT)
Setup and consent configuration
4–6 hours, one-off
$500–$700
Setup and first heatmap analysis report
10–14 hours, one-off
$1,000–$1,700
Monthly session recording and heatmap analysis
~4 hours / month
$300–$500 / month
Estimated range, excluding VAT; rows marked “/ month” are monthly, the others are one-off. Scope is confirmed in a written proposal after the first meeting. As of October 2026.
If you’d like to read together where visitors get stuck on your site, pick a meeting day that suits you below.
Microsoft Clarity: frequently asked questions.
What is Microsoft Clarity, and what is it used for?
Microsoft Clarity is a user behavior analytics tool that shows how visitors behave on your site through session recordings and heatmaps. Recordings aren’t videos; Clarity captures the page’s structure and the visitor’s clicks, scrolls and mouse movements, and reconstructs the session. It also flags friction signals such as rage clicks, dead clicks and excessive scrolling automatically. GA4 counts which step the drop-off happens at; Clarity shows what the visitor experienced at that step.
Is Microsoft Clarity free, and what does a Clarity setup and analysis service cost?
Microsoft says Clarity is free forever and has no traffic limits; you don’t pay a license fee for the tool. Our service fee depends on the number of sites and domains, the scope of the masking and consent setup, the number of flows to be read, and how often we report. We work out the scope together in the first meeting, then send a written proposal. Estimated ranges are in the pricing table on this page; the final fee is set in a written proposal.
How do you install Clarity, and will it slow our site down?
Clarity can be installed with code added to the head section, through supported platforms such as Google Tag Manager, WordPress, WooCommerce and Shopify, or with the NPM package. If your site uses Google Tag Manager, we usually publish the tag from there, versioned and reversible, and check for double loading and for the tag dropping out after a theme change. The Clarity script loads asynchronously, and Microsoft says it doesn’t affect page load speed. Even so, we repeat speed measurements after setup and verify the clarity.ms/collect request in the browser.
How much traffic does a heatmap need?
Clarity has no minimum traffic requirement for generating a heatmap; a map can be created from only a few visits. But a map built on few visits shows how a handful of people behaved, not the page’s overall pattern. On low-traffic pages, we read pages that share the same template as a group, widen the date range, and back findings up with recordings. A heatmap is built from at most 100,000 page views.
Do session recordings capture visitors’ personal data, and what do you do about KVKK?
Masked content is never uploaded to Clarity; input boxes and dropdowns are masked in every masking mode. We mask personal information that shows as plain text, such as addresses, order summaries and account details, element by element, and check each template in a new recording. Because Clarity doesn’t let you delete a single visitor’s data separately, we finish masking before the tag goes live. We recommend settling the privacy notice, cookie consent and the cross-border transfer decision under KVKK, Türkiye’s personal data protection law, together with your legal counsel.
What happens with visitors who deny cookie consent?
When consent is denied, Clarity collects only cookieless data and counts every page view as a separate session. As a result, multi-step funnels show an artificial drop-off, no one is counted as a returning user, and the share of “Other” in the channel report and “Direct” in the source report grows. Since October 31, 2025, Clarity looks for a valid consent signal on visits from the European Economic Area, the United Kingdom and Switzerland; Consent Mode is on by default only for visits from these regions. For visits from Türkiye, we set whether Consent Mode is turned on according to your KVKK decision, pass your cookie banner’s decision to Clarity, and account for the difference between consented and non-consented visits when reading reports.
How long are recordings and heatmaps kept?
Session recordings are kept for 30 days; after that, 1% of recordings or 10 recordings a day, whichever is greater, are kept for up to 9 months. Favorited or tagged recordings and heatmap data stay accessible for up to 9 months. That’s why we favorite and tag recordings that serve as evidence for a finding on the day we watch them. If the project is deleted, the data can’t be recovered; for that reason, we keep admin rights to the project with you.
What is the difference between Clarity and GA4, and are they used together?
GA4 counts events and key events, showing at which step and in which channel the drop-off happens. Clarity shows, at that same step, where the visitor clicked, how far they scrolled and which element they got stuck on. A Clarity project can be connected to your GA4 property with a Google account and shows GA data in its own dashboard; for now, only one web property can be connected to each project. The two tools’ session counts don’t match exactly; we read where the drop-off happens in GA4, and why it happens in Clarity.
When will we see results?
Live sessions appear right after setup; according to Microsoft, data takes a few hours to show in the dashboard. Depending on the page’s traffic, we usually do the first meaningful read in the third week and deliver the findings report at the end of the fourth. Clarity is a diagnostic tool; changes in conversion come from the fixes that findings lead to, and we measure their effect separately. We don’t promise a specific lift.
What can’t we see in Clarity?
Clarity can’t capture the inside of canvas elements or third-party iframes; a payment step running in a payment provider’s iframe won’t show in recordings. The contents of masked fields are never uploaded, most recordings older than 30 days are deleted, and recordings are sampled above 100,000 sessions a day. Pages viewed by visitors who don’t consent aren’t stitched into a single session either. In our reports, we state clearly which data each finding rests on, and where it falls short.
Who runs the Clarity work?
The markention team runs the work; we’re a marketing and business development operation added to your company as a module, and Clarity setup and analysis is one of that operation’s modules. We handle the setup, masking and consent settings, reading the recordings and the findings report. We also apply the fixes that come out of the findings in line with your site’s release process, and monitor their effect with the same signals. In the first meeting, we confirm who your point of contact will be.
We’ve installed Clarity ourselves; why would we need an analysis service?
Installation gets the data collected; it doesn’t turn it into decisions. In an analysis engagement we first verify masking and the consent signal, then read recordings and heatmaps at the drop-off step alongside segments and GA4 data, and write up each finding with its evidence and a recommended fix. If your team already reads recordings regularly, a setup audit alone may be enough.
Which pages does heatmap analysis start with?
The pages most directly tied to revenue and with the most drop-off: product, cart and checkout steps in e-commerce, and lead forms and pricing pages on service sites. We read in GA4 which step loses visitors, then study that step’s heatmaps and recordings in Clarity; low-traffic pages are reviewed together with pages that share the same template.
Who keeps the Clarity project, the accounts and the data?
The Clarity project is created in your account; the account that creates a project becomes its admin. We’re added to the project with admin rights, because only project admins can change project settings, including masking; a Clarity project can have more than one admin, admins can remove members from the project, and our access is removed when the work ends. The GA4 and Google Tag Manager accounts stay in your name too. The setup documentation, segments and findings archive stay with you.
The rhythm of the operation: month, week, day, hour.
Every project has one mentor and two specialists. The tools we use: Claude, Search Console, Semrush, Yandex, Screaming Frog, Google Analytics, ChatGPT · Codex, Google Ads, Ahrefs, Data Studio, Merchant Center, Google Trends, Meta Business, Google Business Profile. We check your Search Console and Analytics every day; Merchant Center one day a month, and the other tools come in as the calendar requires.
Mentor
28 days with markention
2 strategy meetings · a live Data Studio report, 24/7 · 8 operations meetings · plus opportunity-driven work as it comes up
Week 1Meeting with you
Week 2Your Data Studio report
Week 3Meeting with you
Week 4Your Data Studio report
10:00MonPlanningMonday, week 1: We plan your weekWe open the month by checking your product feed in Merchant Center, then set the week’s priorities in our 10:00–11:00 team meeting.
TueStrategyTuesday, week 1: Your strategy sessionYour mentor and specialists get together: we review where your project stands, discuss ideas and prepare the agenda for Thursday’s meeting with you.
WedCrawlWednesday, week 1: Technical crawl of your siteWe crawl your site end to end with Screaming Frog: broken links, redirects and indexing issues go onto your task list.
ThuMeetingThursday, week 1: Meeting with youWe meet every two weeks. Your mentor and two specialists are at the table; we record the meeting and write down the decisions.
16:00FriWrap-upFriday, week 1: Weekly reviewWe close the week with our 16:00 team review: what was done and what comes next.
10:00MonPlanningMonday, week 2: We plan your weekWe start the day by reviewing your Google Ads and Meta Business accounts, then set the week’s priorities in our 10:00–11:00 team meeting.
TueBacklinksTuesday, week 2: Your link profile auditWe review your link profile with Ahrefs and separate gained, lost and risky links.
WedMarketWednesday, week 2: Your market and competitor researchWe scan your market and competitors with Semrush: rankings, new opportunities and lost queries go onto your task list.
ThuReportThursday, week 2: Your Data Studio reportWe crawl your site again; in the week without a meeting we send your report together with your updated dashboard, which brings together 310 distinct data types.
16:00FriWrap-upFriday, week 2: Weekly reviewWe close the week with our 16:00 team review: what was done and what comes next.
10:00MonPlanningMonday, week 3: We plan your weekWe start the day by checking your visibility on Yandex and your Google Business Profile, then set the week’s priorities in our 10:00–11:00 team meeting.
TueStrategyTuesday, week 3: Your strategy sessionYour mentor and specialists get together: we review where your project stands, discuss ideas and prepare the agenda for Thursday’s meeting with you.
WedAIWednesday, week 3: Your brand in superintelligence answersWe check how your brand appears in ChatGPT and Claude answers and add the questions left unanswered to your content plan.
ThuMeetingThursday, week 3: Meeting with youWe meet every two weeks. Your mentor and two specialists are at the table; we record the meeting and write down the decisions.
16:00FriWrap-upFriday, week 3: Weekly reviewWe look at rising searches in your field with Google Trends and close the week with our 16:00 team review.
10:00MonPlanningMonday, week 4: We plan your weekWe start the day by reviewing your Google Ads and Meta Business accounts, then set the week’s priorities in our 10:00–11:00 team meeting.
TueAnalysisTuesday, week 4: Your traffic and conversion analysisIn Google Analytics we look at where your visitors come from and which pages bring conversions; the findings go into Thursday’s report.
WedAI OverviewsWednesday, week 4: Your brand in Google’s AI answersWe check whether your brand is cited as a source in Google’s AI Overviews and AI Mode answers and add the questions left unanswered to your content plan.
ThuReportThursday, week 4: Your Data Studio reportIn the week without a meeting we send your report together with your updated dashboard.
16:00FriWrap-upFriday, week 4: Weekly reviewWe close the week with our 16:00 team review: what was done and what comes next.
Sample flow: if your meeting day is Thursday.
08:00Checking your site09:0010:00Production on your project10:00Our team meeting11:00Production on your project10:00Production on your project16:00Our team meeting10:00Production on your projectDaytimeYour strategy session10:00Production on your projectDaytimeMeeting with you10:00Production on your projectDaytimeYour Data Studio report
Monday·Week 1We plan your week
We open the month by checking your product feed in Merchant Center, then set the week’s priorities in our 10:00–11:00 team meeting.
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