What Changed Section

The What Changed section in Bill Explainer helps consumers understand month‑over‑month changes to their bills. The BE Site Analytics dashboard now provides a comprehensive set of metrics that measure how users interact with this section, combining unique visitor insight with visit counts and trend analysis. These metrics help clients and CSG stakeholders assess consumer engagement, adoption, and behavioral patterns across time.

Unique Visitors

This card shows the number of unique visitors who accessed the What Changed section within the selected time range. Each visitor is counted only once, even if they enter the section multiple times.

Alongside the count, the card displays the percentage of total site visitors who clicked into the What Changed section, providing immediate context on engagement depth and adoption.

Visits

This card reports the total number of visits to the What Changed section, including repeat visits by the same visitor. It represents the overall interaction volume and complements the unique visitor metric by showing how often users return to review bill explanations.

The card also includes the percentage of total site visits that resulted in a What Changed click.

Visits by Bill Change Type

This card breaks down What Changed visits by bill-change type, such as higher, lower, or unchanged compared to the previous month.

It helps identify which types of bill changes most frequently drive users to view explanations. For example, if all visits are driven by higher-than-previous bills, the chart clearly and proportionally reflects that distribution.

Unique What Changed Visitors Trend (Month‑over‑Month)

This trend visual shows how unique visitors to the What Changed section change month‑over‑month.

• The X‑axis displays months (For Example, 2025‑Aug, 2025‑Sep).

• The Y‑axis shows the count of unique visitors who entered the What Changed section.

When hovering over a data point, the chart displays the total number of unique entries for that month along with a clear explanation. For Example, “3 times What Changed section entered on 2025‑May.”

This chart also acts as a navigation control. Selecting a specific month updates the Day‑over‑Day trend card to show detailed daily activity for that month.

Unique What Changed Visitors Trend (Day‑over‑Day)

This card displays daily engagement for the selected month from the Month‑over‑Month chart.

• The X‑axis shows each day of the selected month.

• The Y‑axis shows the number of unique visitors who entered the What Changed section on that day.

Hovering over any data point reveals daily values with contextual explanations, such as: “3 times What Changed section entered on 2025‑05‑06.”

This view supports operational analysis and helps identify spikes or drops in daily engagement.

Total What Changed Clicks Trend (Month‑over‑Month)

This trend visual shows how total What Changed clicks change across months, including month‑over‑month percentage differences.

• The X‑axis displays months.

• The Y‑axis shows total click counts.

The chart also displays the percentage change between months.

For Example, if April recorded one click and May recorded zero clicks, the chart shows a –100% change, providing immediate insight into engagement shifts.

Hovering over a data point displays contextual details such as: “1 time What Changed section entered on 2025‑Apr.”

Total What Changed Clicks Trend (Day‑over‑Day)

This card shows daily click activity broken down by time within a selected day.

• The X‑axis displays time intervals for that day.

• The Y‑axis shows total What Changed click counts.

Hovering over a point displays exact values and timestamps, for example: “1 time What Changed section entered on 2025‑04‑30.” This view supports detailed troubleshooting and short‑term engagement analysis.

Key Benefits

• Provides a clear distinction between unique visitors and total visits, improving accuracy in engagement analysis.

• Combines Month‑over‑Month strategic trends with Day‑over‑Day operational insights in a single dashboard.

• Helps clients understand which bill changes most commonly drive explanation views.

• Enables consistent comparison across periods without manual reporting.

• Supports scalable, standardized analytics across all BE clients using a single data model.