Comment Approval Rate, WordPress

Comment Approval Rate for WordPress. Tracked in the Vortex IQ Nerve Centre — how to read it, why it matters, and how to act on it.

Metrics type: Supporting Metrics • Category: Engagement

Approved / (approved + held + spam). Low = spam flood or over-aggressive filter.

At a glance

Comment Approval Rate is a engagement metric tracked from WordPress data. It surfaces operational signal so you can spot regressions, opportunities, and structural patterns. Cross-reference the sibling cards below for the full diagnostic picture.

What it counts	Approved / (approved + held + spam). Low = spam flood or over-aggressive filter.
Sample type	Backend API data from WordPress, refreshed on the standard data refresh.
Why it matters	The metric appears in the Engagement category and complements the sibling cards listed below. Track movement over time to identify regressions or opportunities.
Reading the value	Compare the current period to the prior period to read direction. Cross-reference siblings to triangulate cause.
Format	percent
Time window	30D
Alert trigger	<40%
Sentiment key	comment_approval_rate
Roles	owner, marketing

Calculation

Calculated automatically from your WordPress data on the standard refresh. See the At a glance summary for what it tracks and the worked example below for a typical reading.

Worked example

A representative reading of Comment Approval Rate for a typical WordPress account. The card reports the current value alongside a comparison against the previous period — direction matters. When it moves outside the expected range, cross-reference the siblings below to find the cause; use Vortex Mind to trace upstream causes and Ask Viq for natural-language exploration.

Sibling cards merchants should reference together

Card	Why merchants reach for it
wp_comments_total	Engagement sibling: Total Comments.
wp_comments_per_post	Engagement sibling: Comments per Post.
wp_most_commented_posts	Engagement sibling: Most Commented Posts.
wp_spam_caught	Engagement sibling: Spam Caught (Akismet).

Reconciling against the vendor’s own dashboard

Where to look in WordPress’s own dashboard: find this metric (or its components) under the relevant report/section. Confirm the period boundaries and any filters match the Vortex IQ profile to reconcile cleanly. The Vortex IQ value may legitimately differ due to period definition, time zone, sampling, or how the vendor buckets the underlying records.