Social Media Engagement Metrics
This dataset provides detailed, event-level social media engagement metrics, tracking user interactions across multiple platforms and content types. It enables brands to analyze engagement trends, measure campaign effectiveness, and optimize content strategies for maximum reach and impact. With granular data on user actions, post metadata, and audience demographics, it supports advanced analytics and actionable insights for marketing teams.
Sample rows
preview · 8 of 100 rows · all 16 columns| engagement_idstring | engagement_typestring | audience_reachinteger | user_verifiedboolean | brand_idstring | post_idstring | user_idstring | platformstring | post_datetimedatetime | engagement_datetimedatetime | engagement_valueinteger | post_content_typestring | post_captionstring | campaign_idstring | engagement_ratefloat | user_location_countrystring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| eng-001 | like | 8700 | true | brand-01 | post-101 | usr-0101 | 2023-11-15T13:45:00Z | 2023-11-15T14:07:00Z | 1 | image | Autumn vibes at the city park 🍁 | cmp-2023fall | 0.034 | United States | |
| eng-002 | comment | 15400 | false | brand-02 | post-102 | usr-0127 | 2023-11-14T10:00:00Z | 2023-11-14T10:03:00Z | 1 | video | Check out our new product reveal! | cmp-2023launch | 0.021 | Canada | |
| eng-003 | share | 6200 | false | brand-03 | post-103 | usr-0113 | 2023-11-13T17:30:00Z | 2023-11-13T17:31:00Z | 1 | text | Excited to announce our winter campaign! #Winter2023 | cmp-winter23 | 0.058 | United Kingdom | |
| eng-004 | click | 4200 | true | brand-04 | post-104 | usr-0156 | 2023-11-10T09:20:00Z | 2023-11-10T09:45:00Z | 1 | link | Read our latest research report. | blank | 0.016 | Germany | |
| eng-005 | view | 27000 | false | brand-02 | post-105 | usr-0172 | TikTok | 2023-11-16T22:13:00Z | 2023-11-16T22:13:20Z | 1 | video | Unboxing surprise! 🎁 | cmp-holiday23 | 0.125 | Australia |
| eng-006 | like | 9500 | true | brand-05 | post-106 | usr-0135 | YouTube | 2023-11-09T16:00:00Z | 2023-11-09T16:20:00Z | 1 | video | How to make the perfect latte art ☕ | cmp-coffee23 | 0.045 | Italy |
| eng-007 | reaction | 7800 | false | brand-03 | post-107 | usr-0161 | 2023-11-12T18:00:00Z | 2023-11-12T18:02:00Z | 1 | story | Behind the scenes at our studio 🎬 | blank | 0.071 | France | |
| eng-008 | save | 15600 | true | brand-02 | post-108 | usr-0142 | 2023-11-15T11:00:00Z | 2023-11-15T11:05:00Z | 1 | image | Holiday gift ideas for everyone 🎁 | cmp-holiday23 | 0.029 | United States | |
| eng-009 | comment | 5100 | false | brand-01 | post-109 | usr-0184 | 2023-11-17T08:30:00Z | 2023-11-17T08:32:00Z | 1 | text | What's your favorite winter activity? | blank | 0.043 | Sweden | |
| eng-010 | like | 3900 | true | brand-04 | post-110 | usr-0197 | 2023-11-08T13:00:00Z | 2023-11-08T13:20:00Z | 1 | link | Join our team! We're hiring engineers. | cmp-hiring23 | 0.012 | India | |
| eng-011 | comment | 8700 | false | brand-01 | post-101 | usr-0150 | 2023-11-15T13:45:00Z | 2023-11-15T15:01:00Z | 1 | image | Autumn vibes at the city park 🍁 | cmp-2023fall | 0.034 | United States | |
| eng-012 | like | 11500 | true | brand-06 | post-111 | usr-0120 | TikTok | 2023-11-16T09:45:00Z | 2023-11-16T09:48:01Z | 1 | video | Dancing into the weekend! | blank | 0.082 | Brazil |
| eng-013 | reaction | 7400 | false | brand-07 | post-112 | usr-0192 | 2023-11-13T17:10:00Z | 2023-11-13T17:11:00Z | 1 | poll | Vote for our next flavor! | cmp-flavorvote | 0.063 | Mexico | |
| eng-014 | share | 13200 | false | brand-08 | post-113 | usr-0136 | 2023-11-14T19:30:00Z | 2023-11-14T19:32:00Z | 1 | story | Flash sale for 24 hours only! | cmp-flash24 | 0.023 | South Africa | |
| eng-015 | view | 17000 | false | brand-05 | post-114 | usr-0168 | YouTube | 2023-11-12T08:55:00Z | 2023-11-12T09:16:00Z | 1 | video | Travel vlog: Exploring the Alps | cmp-travel23 | 0.072 | Switzerland |
| eng-016 | like | 9800 | true | brand-09 | post-115 | usr-0125 | 2023-11-17T14:05:00Z | 2023-11-17T14:06:00Z | 1 | text | Thanks for 10k followers! 🎉 | blank | 0.117 | United States | |
| eng-017 | click | 3600 | false | brand-10 | post-116 | usr-0174 | 2023-11-13T07:40:00Z | 2023-11-13T08:12:00Z | 1 | link | Register now for our November webinar! | cmp-webinar23 | 0.019 | Singapore | |
| eng-018 | save | 8800 | false | brand-07 | post-117 | usr-0186 | 2023-11-11T10:25:00Z | 2023-11-11T10:27:00Z | 1 | image | Recipe of the week: Pumpkin Soup | blank | 0.054 | United Kingdom | |
| eng-019 | reaction | 5400 | true | brand-06 | post-118 | usr-0144 | 2023-11-14T21:00:00Z | 2023-11-14T21:03:00Z | 1 | link | Take our survey for a chance to win! | cmp-survey23 | 0.069 | Italy | |
| eng-020 | view | 26000 | false | brand-02 | post-119 | usr-0194 | TikTok | 2023-11-17T15:00:00Z | 2023-11-17T15:01:00Z | 1 | video | Behind the scenes bloopers 😂 | blank | 0.094 | United States |
What the 100 rows show
from the 100-row sampleView (engagement type) stands out: mean audience_
- 24%user_
verified = true - 5,300median audience_
reach - 6post content types
- 7platforms
- 21user location countries
- 0.02median engagement_
rate
Median 5,300, from 302 to 27,000.
- string 10
- integer 2
- float 1
- datetime 2
- boolean 1
Columns
16 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
engagement_id | string | Unique identifier for each engagement record.unique | eng-001 |
post_id | string | Unique identifier for the social media post. | post-101 |
user_id | string | Unique identifier for the user engaging with the post. | usr-0101 |
platform | string | Social media platform where the post was published (e.g., Facebook, Instagram, Twitter).7 values | |
engagement_type | string | Type of engagement (e.g., like, comment, share, click, view, reaction).8 values | like |
post_content_type | string | Type of content in the post (e.g., image, video, text, link, poll).7 values · optional | image |
post_caption | string | Text caption or description associated with the post.optional | Unboxing surprise! 🎁 |
brand_id | string | Unique identifier for the brand or organization owning the post. | brand-01 |
campaign_id | string | Identifier for the marketing campaign associated with the post, if applicable.optional | cmp-2023fall |
user_location_country | string | Country of the user engaging with the post, if available.optional | United States |
| Numbers 3 columns | |||
engagement_value | integer | Numeric value associated with the engagement (e.g., number of likes, shares, or 1 for single engagement events).1 or more | 1 |
audience_reach | integer | Estimated number of unique users who saw the post.0 or more · optional | 8700 |
engagement_rate | float | Calculated engagement rate for the post at the time of this engagement (e.g., total engagements divided by reach).0 to 1 · optional | 0.034 |
| Dates and times 2 columns | |||
post_datetime | datetime | Date and time when the post was published. | 2023-11-15T13:45:00Z |
engagement_datetime | datetime | Date and time when the engagement occurred. | 2023-11-15T14:07:00Z |
| True or false 1 column | |||
user_verified | boolean | Indicates if the engaging user is a verified account.optional | true |
Use it for
A social media dashboard
The user_
verified rate, audience_ reach by engagement_ type and a breakdown of brand_ id. Excel, Power BI or Tableau. Why do the 12 view rows have a mean audience_
reach of 18,144? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Engagements100eng-0018700likeeng-00215400commenteng-0044200click
A software demo
Believable engagements with post_
id, user_ id and platform to fill a screen in front of a buyer.
blueprint · social-media-engagement-metrics
Behind this dataset
Same schema. As many rows as you need.
These 100 rows came out of a blueprint — 16 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Posts must be categorized by type
- Engagement logged within 24 hours of posting
- Spam interactions are filtered out
- Posts with <1% engagement flagged for review
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- social-media-engagement-metrics