Internal performance diagnostic

Find the signal behind the drop.

Start with what the analytics prove. Then test the explanations that remain.

Reported comparison

The decline that triggered the review

These are the figures supplied in the diagnostic request. Confirm the dashboard date range and timezone before using them as the permanent baseline.

Sessions

87from 109
20.2%

Pageviews

87from 152
42.8%

Unique visitors

48from 94
48.9%
Observed

A consistent window confirms the direction.

The latest seven completed days, September 9 through 15, are compared with September 2 through 8. This avoids the partial current day.

Sessions107 to 60 -43.9%
Pageviews149 to 90 -39.6%
Unique visitors89 to 46 -48.3%

Daily pageviews

September 2 through 15

14 days
23
2
32
24
4
9
6
6
18
37
8
13
24
10
18
9
12
4
6
14
16
Prior periodCurrent periodSep 8 peaked at 37 pageviews
Verified drivers

What the available analytics actually say

01

The homepage explains most of the session loss

Homepage landings fell from 71 to 37 sessions, a loss of 34 sessions.

02

Direct or unattributed traffic had the largest source decline

Direct or unattributed sessions fell from 74 to 40, also a loss of 34 sessions.

03

Google referrals also declined

Sessions referred by google.com fell from 15 to 7, a loss of 8 sessions.

04

The decline affected both major device groups

Desktop fell from 72 to 36 sessions. Mobile fell from 25 to 14.

05

Engagement depth improved among the traffic that remained

Desktop pages per session rose from 1.65 to 1.83. Mobile rose from 1.20 to 1.71.

Diagnostic assistant

Choose the question you need to answer.

ObservedCurrent answer

The strongest signal is lower acquisition volume, especially direct or unattributed traffic.

Evidence

  • Direct or unattributed sessions fell by 34.
  • Google referrals fell by 8.
  • Pages per session improved, which argues against a broad engagement collapse.

Next checks

Hypotheses to test

Plausible explanations, not conclusions

Each explanation below includes the evidence that makes it plausible and the check that could confirm or reject it.

01

A direct-traffic burst ended

Why it is plausible. Direct or unattributed traffic accounts for 34 of the 47 lost sessions in the verified comparison.

How to test it. Compare campaign sends, social posts, offline promotions, and staff traffic around September 2 through 8.

02

Some campaign attribution was lost

Why it is plausible. A large direct or unattributed change can include links that arrived without durable UTM parameters.

How to test it. Audit recent campaign links and redirects. Confirm source, medium, and campaign parameters survive the full path.

03

Search demand or visibility softened

Why it is plausible. Google-referred sessions fell by 8, but this dataset alone cannot separate rankings, demand, and result click-through rate.

How to test it. Review Search Console clicks, impressions, average position, and queries for the same two completed weeks.

04

The prior week contained a short-lived spike

Why it is plausible. September 8 produced 37 pageviews, the highest day in the 14-day comparison.

How to test it. Identify what drove September 8 before treating the prior period as the normal baseline.