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Clarity Website Analyst

Ingests Microsoft Clarity data daily to build 90-day rolling website UX trends and A/B CRO test ideas, using Power Automate and Copilot Studio.

Clarity Website Analyst

Key Result: Data-led insight into website UX: 90-day rolling trends and A/B CRO test ideas Layer: Intelligence Problem: No Long-Term View of On-Site Behaviour Status: Live

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Layer: Intelligence — Website Insight

Status: Live

Platform: Microsoft Clarity API · Power Automate · SharePoint · Microsoft Copilot Studio

Deployment: Veriforce — 5 brands

Last updated: October 2026

Version: v1.0

Business Problem

Website UX decisions were being made without a long-term view of how visitors actually behave. Microsoft Clarity’s API only exposes the last 3 days of behaviour data, so signals such as rage clicks, dead clicks, time on page and scroll depth were hard to track over time, and UX issues or optimisation opportunities could go unnoticed. Without that history, A/B test ideas were harder to ground in evidence.

Solution Overview

The Clarity Website Analyst turns raw behaviour data into data-led insight on website UX.

A scheduled workflow runs every morning, collects the previous day’s Clarity metrics (pageviews, rage clicks, dead clicks, time on page, scroll rate and more) and stores them against each URL in a SharePoint list, building a history that goes beyond Clarity’s 3-day limit.

Copilot Studio then reads this list with two agents:

Flow

Flow diagram: Power Automate pulls daily Microsoft Clarity data into SharePoint, then Copilot Studio agents produce a weekly report of 90-day trends, anomalies and A/B CRO test ideas

Business Value

Cost Savings

Version History

Version Date Milestone
v1.0 October 2026 Live on 5 brands: daily Clarity ingestion, 90-day rolling trends and data-led A/B CRO test ideation

Design Insights

Saving each day’s snapshot turns a short-lived API window into a growing dataset, so the same agents can look at trends rather than a single moment.

Pairing trend reporting with test ideation in the same system keeps UX recommendations tied to evidence: the report shows where behaviour changed, and the UX Analyst proposes what to test next.


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