Essential terms at a glance

This summary guide helps you quickly understand the terms you will encounter most often when you first use Syncly. For more detailed metric definitions and calculation rules, see the Glossary.

Basic concepts

Term	Meaning
Workspace	A space for managing data by team, brand, or client.
Query	The criteria that define which brand, product, or topic Syncly should collect and analyze data for.
Post	An individual piece of social content collected based on Query conditions.
Library Post	A feature for quickly finding original Posts in a workspace and checking platform-by-platform Post trends over the last 30 days.
Dashboard	A screen where you can review a Query’s analysis results as metrics, charts, and tables.
Chart	An analysis unit that visualizes data by a specific metric or dimension.
Report	A shareable document that organizes analysis results.
Hey Syncly	A feature that lets you ask natural-language questions about collected data and receive AI-powered answers.

Metrics you’ll often review during analysis

Term	Meaning
Mention	An analysis axis for breaking down data by Mention. In documentation, it is usually interpreted as the number of Posts that include a specific Mention.
View	A view-based metric provided by the platform.
Impression	A Syncly-standard metric for comparing exposure or view scale, adjusted for differences in metrics provided by each platform.
Engagement	The total number of user reactions to content, such as saves, comments, likes, and shares.
Engagement Rate	Engagement divided by Views.
Sentiment	An AI-generated analysis result that labels a Post as Positive, Neutral, or Negative based on its context.
Noise	A Post that is not directly related to the analysis target and can be excluded from results or managed separately.

Recommended flow for first-time users

Start with Getting started with Syncly to review the overall workflow.
Open a prepared Query and review the Dashboard.
Open Posts to check the original content behind the metrics.
Ask Hey Syncly questions to quickly understand what the data means.
If needed, organize and share results as a Report.