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Card class: Non-HeroCategory: Engagement
Likes (30d) as reported by the Instagram integration.

At a glance

Likes (30d) is a engagement metric tracked from Instagram 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 countsLikes (30d) as reported by the Instagram integration.
Sample typeBackend API data from Instagram, refreshed on the standard data refresh.
Why it mattersThe metric appears in the Engagement category and complements the sibling cards listed below. Track movement over time to identify regressions or opportunities.
Reading the valueCompare the current period to the prior period to read direction. Cross-reference siblings to triangulate cause.
Formatnumber
Time window30D
Alert trigger
Sentiment key
Rolesowner, marketing

Calculation

Calculated automatically from your Instagram 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 Likes (30d) for a typical Instagram 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

CardWhy merchants reach for it
ig_total_engagement_30dEngagement sibling: Total Engagement (30d).
ig_comments_30dEngagement sibling: Comments (30d).
ig_engagement_rate_trendEngagement sibling: Engagement Rate Trend.

Reconciling against the vendor’s own dashboard

Where to look in Instagram’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.