Cross-Platform User Engagement Metrics
This dataset provides detailed, unified user engagement metrics across multiple digital channels, including social media, web, and mobile platforms. It enables startups and marketers to analyze cross-platform user activity, optimize engagement strategies, and attribute performance to specific campaigns, devices, and content. The rich, flat schema supports advanced analytics, segmentation, and real-time insights for multi-channel optimization.
Sample rows
preview · 8 of 200 rows · all 15 columns| engagement_idstring | platformstring | engagement_valuefloat | is_new_userboolean | location_countrystring | user_idstring | activity_typestring | activity_timestampdatetime | session_idstring | device_typestring | location_citystring | location_statestring | content_idstring | campaign_idstring | referrerstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| E001 | 1.2 | false | USA | U100 | like | 2024-01-01T10:05:32 | S100 | mobile | New York | NY | C1001 | CP101 | https://fb.com/feed/E001 | |
| E002 | 2.3 | false | UK | U101 | share | 2024-01-02T15:22:10 | S101 | desktop | London | ENG | C1002 | CP102 | https://twitter.com/E002 | |
| E003 | 1.9 | false | USA | U102 | comment | 2024-01-03T09:45:00 | S102 | mobile | San Francisco | CA | C1003 | CP103 | https://instagram.com/p/E003 | |
| E004 | website | 7.5 | true | Australia | U103 | signup | 2024-01-04T13:03:20 | S103 | desktop | Sydney | NSW | C1004 | CP104 | https://startup.com/signup |
| E005 | mobile_app | 0.7 | false | Japan | U104 | view | 2024-01-05T17:41:10 | S104 | mobile | Tokyo | TK | C1005 | CP105 | app://home/E005 |
| E006 | 8.9 | true | Germany | U105 | signup | 2024-01-06T08:15:55 | S105 | tablet | Berlin | BE | C1006 | CP106 | https://startup.com/email-signup | |
| E007 | 1.1 | false | Canada | U106 | view | 2024-01-07T12:33:18 | S106 | desktop | Toronto | ON | C1007 | CP107 | https://linkedin.com/feed/E007 | |
| E008 | other | 10000 | true | blank | U107 | other | 2024-01-08T20:55:47 | blank | other | blank | blank | blank | blank | blank |
| E009 | 2 | false | USA | U108 | comment | 2024-01-09T09:12:32 | S108 | desktop | Chicago | IL | C1009 | CP109 | https://fb.com/feed/E009 | |
| E010 | 1.5 | false | India | U109 | click | 2024-01-10T11:20:40 | S109 | mobile | Mumbai | MH | C1010 | CP110 | https://twitter.com/E010 | |
| E011 | 0.8 | false | South Africa | U110 | like | 2024-01-11T16:33:21 | S110 | tablet | Cape Town | WC | C1011 | CP111 | https://instagram.com/p/E011 | |
| E012 | website | 6.7 | true | France | U111 | signup | 2024-01-12T07:12:11 | S111 | desktop | Paris | IDF | C1012 | CP112 | https://startup.com/signup |
| E013 | mobile_app | 9999.99 | true | Ireland | U112 | purchase | 2024-01-13T15:54:19 | S112 | mobile | Dublin | LE | C1013 | CP113 | app://purchase/E013 |
| E014 | 1 | false | UAE | U113 | view | 2024-01-14T18:17:05 | S114 | desktop | Dubai | DU | C1014 | CP114 | https://startup.com/email/E014 | |
| E015 | 9.3 | true | Sweden | U114 | signup | 2024-01-15T14:02:18 | S115 | desktop | Stockholm | ST | C1015 | CP115 | https://linkedin.com/signup | |
| E016 | other | 10000 | false | blank | U115 | download | 2024-01-16T10:25:50 | blank | other | blank | blank | blank | blank | blank |
| E017 | 0.5 | false | USA | U116 | view | 2024-01-17T23:48:11 | S117 | mobile | Los Angeles | CA | C1017 | CP117 | https://fb.com/feed/E017 | |
| E018 | 4.2 | false | Spain | U117 | download | 2024-01-18T21:54:22 | S118 | tablet | Madrid | MD | C1018 | CP118 | https://instagram.com/download/E018 | |
| E019 | website | 1.7 | false | Singapore | U118 | click | 2024-01-19T13:09:40 | S119 | desktop | Singapore | SG | C1019 | CP119 | https://startup.com/ad/E019 |
| E020 | mobile_app | 5.2 | true | Brazil | U119 | signup | 2024-01-20T08:28:03 | S120 | mobile | Rio de Janeiro | RJ | C1020 | CP120 | app://signup/E020 |
What the 200 rows show
from the 200-row sampleOther platform stands out: mean engagement_
- 34%is_
new_ user = true - 1.9median engagement_
value - 4device types
- 9activity types
- 47location cities
Median 1.9, from 0.0 to 10,000.
- string 12
- float 1
- datetime 1
- boolean 1
Columns
15 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 12 columns | |||
engagement_id | string | Unique identifier for each engagement recordunique | E001 |
user_id | string | Unique identifier for the user across all platforms | U100 |
platform | string | Name of the digital channel or platform (e.g., Facebook, Twitter, Website, Mobile App)8 values | |
activity_type | string | Type of user activity (e.g., click, like, share, comment, purchase, signup, view)9 values | like |
session_id | string | Identifier for the user's session during which the activity occurredoptional | S100 |
device_type | string | Type of device used for the activity (e.g., desktop, mobile, tablet)desktop · mobile · tablet · other · optional | mobile |
location_city | string | City where the activity was performed, if availableoptional | New York |
location_state | string | State or region where the activity was performed, if availableoptional | NY |
location_country | string | Country where the activity was performed, if availableoptional | USA |
content_id | string | Identifier for the content or item interacted with (e.g., post, product, ad)optional | C1001 |
campaign_id | string | Identifier for the marketing campaign associated with the activity, if applicableoptional | CP101 |
referrer | string | Source or referrer URL from which the user arrived, if availableoptional | https://fb.com/feed/E001 |
| Numbers 1 column | |||
engagement_value | float | Numeric value representing the engagement score or value for the activity (e.g., 1 for click, 5 for purchase)0 or more · optional | 1.2 |
| Dates and times 1 column | |||
activity_timestamp | datetime | Date and time when the activity occurred | 2024-01-01T10:05:32 |
| True or false 1 column | |||
is_new_user | boolean | Indicates if the user is new to the platform/channeloptional | false |
Use it for
A marketing dashboard
The is_
new_ user rate, engagement_ value by platform and a breakdown of location_ country. Excel, Power BI or Tableau. Why do the 19 other rows have a mean engagement_
value of 4,211? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Engagements200E0011.2facebookE0047.5websiteE0068.9email
A software demo
Believable engagements with user_
id, platform and activity_ type to fill a screen in front of a buyer.
blueprint · cross-platform-user-engagement-metrics
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 15 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.
- Sessions tracked per platform
- Activity mapped to unique users
- Include web, mobile, and social
- Exclude inactive accounts
- Standardize timestamp formats
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
- cross-platform-user-engagement-metrics