Microsoft Clarity Weekly Report: What's Missing (And How to Fix It)

Clarity sends you a Weekly Digest email every Monday. It's a nice summary of your top-level metrics. But if you've ever looked at it and thought "OK, but what should I actually do?" — you've hit the exact limitation we're going to explore.

What Clarity's Weekly Digest includes

Let's start with credit where it's due. Clarity's built-in weekly email does give you useful data:

• Total sessions — how many people visited your site
• Pages per session — average number of pages viewed
• Scroll depth — how far users scroll on average
• Dead clicks — total count of dead click events
• Rage clicks — total count of rage click events
• Quick backs — users who immediately navigated away
• Top pages — your most-visited pages
• Week-over-week changes — percentage change for key metrics

It's a clean, well-formatted email that takes 30 seconds to scan. For sites where you just need a pulse check ("is traffic up or down? are frustration signals stable?"), it does the job.

The problem: data without interpretation

Here's what the Weekly Digest doesn't tell you:

1. Which specific pages have problems

The digest shows your overall rage click count went up 15%. But which page caused the increase? Was it your homepage? Your checkout flow? A blog post? You have to log into the dashboard to find out.

This matters because the fix for rage clicks on a checkout page is very different from rage clicks on a blog post. Without per-page breakdown, the weekly email gives you a signal but not enough information to act on it.

2. What the numbers actually mean

The digest tells you "Dead clicks: 342 (+8%)". But what does that mean for your business? Is 342 dead clicks per week normal for a site your size? Is an 8% increase alarming or within normal fluctuation? The raw numbers lack context.

An effective weekly report would interpret the data: "Dead clicks increased 8% this week, driven primarily by the /pricing page where users are clicking on the feature comparison table cells. These cells look interactive but aren't — consider making them expandable or linking to feature detail pages."

3. Trend analysis beyond one week

The Weekly Digest compares this week to last week. That's helpful, but it misses longer-term trends. Is your rage click rate slowly increasing over the past 6 weeks? Is scroll depth on your landing pages gradually declining? Single-week comparisons can't surface these patterns.

A 5% increase this week might be normal variation. But if it's the fifth consecutive week of 5% increases, you have a compounding problem that needs attention.

4. Prioritized action items

After reading the digest, what should you do first? The email doesn't tell you. It presents metrics as equals — sessions, scroll depth, dead clicks, rage clicks — without ranking them by impact or urgency.

An ideal report would say: "Priority 1: Fix the broken 'Add to Cart' button on mobile (/products/widget-x). It's generating 47 rage clicks per day and likely costing you conversions. Priority 2: The /about page has a 23% dead click rate on team member photos — consider linking them to individual bio pages."

5. Segmentation insights

The digest doesn't break down metrics by device type, browser, or traffic source. Your mobile users might be having a completely different experience than desktop users. Organic traffic might behave differently from paid traffic. These segments often reveal problems that site-wide averages hide.

6. Correlation with business metrics

Rage clicks on your pricing page last week — did they affect conversion rates? The Weekly Digest can't tell you because it doesn't connect behavior data to business outcomes. You have to cross-reference Clarity data with your analytics tool manually.

What an ideal weekly report looks like

Based on what's missing, here's what a truly useful weekly report would include:

Building a better report yourself (the hard way)

If you want to create a more comprehensive report manually, here's what it takes:

Step 1: Collect data daily via the API

Clarity's Data Export API lets you pull session-level data, but it's limited to 10 requests per day and 3 days of lookback. You need a daily cron job to collect and store data in your own database. See our Clarity API Python tutorial for the technical details.

Step 2: Aggregate weekly metrics per page

Once you have raw session data in SQLite or Postgres, write queries to aggregate:

-- Per-page frustration signals for the past week
SELECT
    page_url,
    COUNT(*) as sessions,
    SUM(rage_clicks) as total_rage_clicks,
    SUM(dead_clicks) as total_dead_clicks,
    ROUND(AVG(scroll_depth), 1) as avg_scroll,
    ROUND(AVG(duration), 0) as avg_duration
FROM sessions
WHERE collected_at >= date('now', '-7 days')
GROUP BY page_url
ORDER BY (total_rage_clicks + total_dead_clicks) DESC
LIMIT 20;

Step 3: Compare with the previous week

-- Week-over-week comparison
WITH this_week AS (
    SELECT page_url, SUM(rage_clicks) as rage
    FROM sessions
    WHERE collected_at >= date('now', '-7 days')
    GROUP BY page_url
),
last_week AS (
    SELECT page_url, SUM(rage_clicks) as rage
    FROM sessions
    WHERE collected_at >= date('now', '-14 days')
      AND collected_at < date('now', '-7 days')
    GROUP BY page_url
)
SELECT
    t.page_url,
    t.rage as this_week,
    l.rage as last_week,
    ROUND(100.0 * (t.rage - l.rage) / MAX(l.rage, 1), 1) as pct_change
FROM this_week t
LEFT JOIN last_week l ON t.page_url = l.page_url
ORDER BY pct_change DESC;

Step 4: Feed data to an LLM for interpretation

Take your aggregated data and send it to GPT-4, Claude, or another LLM with a prompt like:

"Here's this week's Clarity analytics data for my website. Analyze the data and provide: 1) A 2-sentence executive summary, 2) The top 3 issues ranked by potential impact, 3) Specific recommendations for each issue. Focus on frustration signals (rage clicks, dead clicks) and compare with last week's data."

Step 5: Format and send the email

Build an HTML email template and send it via your email service (Resend, SES, Postmark). Schedule this as a Monday morning cron job.

The automation gap in analytics

This problem isn't unique to Clarity. Most analytics tools — Google Analytics, Hotjar, Mixpanel — have the same fundamental issue: they collect data brilliantly but leave interpretation to you. They show dashboards full of charts and expect you to know what matters.

For large teams with dedicated analysts, this is fine. The analyst logs in daily, spots trends, writes reports, and presents findings. But most websites are managed by small teams or solo developers who don't have an analyst. The data sits there, unseen, until something breaks badly enough to investigate.

ClarityInsights: Filling the gap

This is exactly why we built ClarityInsights. It connects to your Clarity project via the Data Export API, collects data daily, and generates AI-powered weekly reports that include everything the built-in Weekly Digest is missing:

• Per-page analysis with frustration signal breakdown
• Multi-week trend tracking so gradual problems don't go unnoticed
• AI-generated insights that explain what the numbers mean in plain language
• Prioritized recommendations ranked by estimated impact
• Mobile vs. desktop comparison because mobile UX issues are often invisible on desktop

You get a single email every Monday morning with everything you need to know — no dashboard required, no manual analysis, no data pipelines to maintain.

Making the most of Clarity's built-in digest

If you're sticking with the native Weekly Digest for now, here's how to get more value from it:

Create a 5-minute Monday routine

1. Read the digest (30 seconds)
2. Check for any metric with >20% change (15 seconds)
3. If flagged: log into Clarity, filter by the changed metric, identify the top 3 affected pages (3 minutes)
4. Create a ticket for the worst offender (1 minute)

This won't give you the depth of automated analysis, but it prevents the most common failure mode: receiving the email, skimming it, and doing nothing.

Set up Clarity alerts

In addition to the Weekly Digest, Clarity lets you set up custom alerts for specific metrics. Create alerts for:

• Rage click rate exceeding 3% of sessions
• Dead click rate exceeding 5% of sessions
• Session count dropping more than 30% day-over-day

These catch acute problems between weekly reports.

Combine with Google Analytics

Clarity integrates with Google Analytics. Turn this on if you haven't already. It lets you see Clarity recordings for specific GA segments — users who converted vs. those who didn't, users from specific campaigns, etc. This manual cross-referencing is tedious but valuable when investigating specific issues.

Bottom line

Clarity's Weekly Digest is a starting point, not a complete solution. It tells you what happened but not why, shows aggregate numbers but not per-page details, compares one week but not long-term trends, and presents data but not recommendations. For a free feature, it's useful. But if you're serious about improving your site's UX based on real user data, you need something that interprets the data and tells you what to fix — whether that's a manual process you build yourself or an automated service.