Marketing
28 columns
64 rows
8 formats

Marketing Campaign AI Optimization Logs

This dataset provides granular logs of AI-driven optimization applied to digital marketing campaigns, including detailed pre- and post-automation performance metrics, cost efficiency, and audience engagement indicators. It enables marketing professionals to benchmark the effectiveness of AI strategies and track improvements in campaign outcomes across channels and audience segments.

opened 7 times
last updated 2 Feb 2026
by GoMask

The brief that made it

Benchmarking AI impact on marketing campaign performance

Sample rows

preview · 8 of 64 rows · all 28 columns

log_idstring	channelstring	post_optimization_clicksinteger	ai_optimization_appliedboolean	optimization_strategystring	campaign_idstring	campaign_namestring	start_datedate	end_datedate	ai_optimization_datedate	pre_optimization_costfloat	post_optimization_costfloat	pre_optimization_impressionsinteger	post_optimization_impressionsinteger	pre_optimization_clicksinteger	pre_optimization_conversionsinteger	post_optimization_conversionsinteger	pre_optimization_ctrfloat	post_optimization_ctrfloat	pre_optimization_cpafloat	post_optimization_cpafloat	pre_optimization_roasfloat	post_optimization_roasfloat	audience_segmentstring	engagement_metric_prefloat	engagement_metric_postfloat	notesstring	logged_atdatetime
LOG-0001-2024A	search	17000	true	bid adjustment	CMP-1001	Spring Splash Sale	2024-02-15	2024-03-14	2024-02-24	12750.5	11220.35	480000	510000	14800	760	920	3.08	3.33	16.78	12.19	2.35	3.18	Urban Millennials	2.7	3.1	Bid adjustments improved conversion rate.	2024-03-15T17:12:04
LOG-0002-2024A	display	9800	true	creative optimization	CMP-1002	Winter Warmth Drive	2024-01-05	2024-02-03	2024-01-15	8850	7800	320000	355000	8200	420	545	2.56	2.76	21.07	14.31	1.93	2.74	Suburban Families	1.9	2.3	Refined ad creatives for higher engagement.	2024-02-04T10:28:45
LOG-0003-2024A	social	6100	false	blank	CMP-1003	Back to School Bonanza	2023-08-01	2023-08-30	blank	5900	5900	215000	215000	6100	320	320	2.84	2.84	18.44	18.44	1.61	1.61	College Students	2.2	2.2	No AI optimization used during this period.	2023-08-30T18:09:12
LOG-0004-2024A	email	2880	true	send time optimization	CMP-1004	Tech Upgrade Week	2024-04-10	2024-04-18	2024-04-12	5100.75	4900	78000	80000	2550	92	115	3.27	3.6	55.44	42.61	1.28	1.69	IT Professionals	3.3	3.9	AI optimized send times for highest open rates.	2024-04-18T13:33:29
LOG-0005-2024A	search	9500	true	keyword optimization	CMP-1002	Winter Warmth Drive	2024-01-05	2024-02-03	2024-01-28	8420	7800	300000	342000	7600	390	505	2.53	2.78	21.59	15.45	1.88	2.61	Suburban Families	1.7	2.2	Improved keyword targeting for greater relevance.	2024-02-03T18:19:32
LOG-0006-2024A	video	10800	false	blank	CMP-1005	Healthy Living Launch	2024-03-01	2024-03-21	blank	12700	12700	410000	410000	10800	560	560	2.63	2.63	22.68	22.68	2.04	2.04	Health Enthusiasts	2	2	No automation; baseline comparison.	2024-03-21T14:57:02
LOG-0007-2024A	affiliate	7800	true	audience segmentation	CMP-1006	Summer Style Preview	2024-05-01	2024-05-20	2024-05-06	9900	8700	250000	267500	6600	370	470	2.64	2.92	26.76	18.51	1.44	2.21	Fashion Seekers	2.5	2.8	Segmented audience led to better conversion.	2024-05-20T16:01:12
LOG-0008-2024A	display	23200	true	creative optimization	CMP-1007	Luxury Launch Event	2024-04-01	2024-04-25	2024-04-11	20000	17500	520000	570000	19000	1250	1480	3.65	4.07	16	11.82	2.87	3.79	Affluent Professionals	3.4	4.1	Luxury visuals increased click-through.	2024-04-25T11:15:09
LOG-0009-2024A	social	4100	false	blank	CMP-1008	Eco Friendly Push	2024-04-13	2024-05-01	blank	6600	6600	145000	145000	4100	198	198	2.83	2.83	33.33	33.33	1.37	1.37	Eco Conscious	2.1	2.1	No optimization; test control.	2024-05-01T15:40:10
LOG-0010-2024A	display	7900	true	bid adjustment	CMP-1003	Back to School Bonanza	2023-07-29	2023-08-31	2023-08-15	6200	5560	230000	255000	6500	345	425	2.83	3.1	17.97	13.08	1.64	2.24	College Students	2.3	2.7	Bid optimization increased impressions.	2023-08-31T18:31:14
LOG-0011-2024A	video	14100	true	creative optimization	CMP-1009	Gadgets Galore	2024-03-07	2024-03-28	2024-03-13	15100	14200	440000	478000	12300	670	870	2.8	2.95	22.54	16.32	2.1	2.96	Tech Enthusiasts	2.8	3.3	Creative refresh increased conversions.	2024-03-28T17:46:21
LOG-0012-2024A	email	1300	false	blank	CMP-1010	Weekend Getaway Deals	2024-04-05	2024-04-11	blank	3300	3300	52000	52000	1300	50	50	2.5	2.5	66	66	1.12	1.12	Travel Planners	1.6	1.6	No AI; baseline measurement.	2024-04-11T13:01:43
LOG-0013-2024A	search	8700	true	bid adjustment	CMP-1011	Fitness Frenzy	2024-01-15	2024-02-07	2024-01-24	8200	6950	255000	282500	7200	410	540	2.82	3.08	20	12.87	1.97	2.9	Fitness Seekers	2.6	3.3	Bid strategy boosted conversions.	2024-02-07T17:19:31
LOG-0014-2024A	social	3900	true	creative optimization	CMP-1012	Home Decor Days	2024-03-10	2024-03-25	2024-03-15	4500	4200	120000	132000	3400	156	186	2.83	2.95	28.85	22.58	1.51	2.02	Homeowners	2.3	2.7	Creative refresh improved engagement.	2024-03-25T14:42:45
LOG-0015-2024A	display	5200	false	blank	CMP-1013	Global Tastes Festival	2024-02-12	2024-03-10	blank	7800	7800	198000	198000	5200	231	231	2.63	2.63	33.77	33.77	1.42	1.42	Foodies	2	2	No automation; control group.	2024-03-10T17:45:55
LOG-0016-2024A	affiliate	3250	true	audience segmentation	CMP-1014	Pet Lovers Promo	2024-02-20	2024-03-05	2024-02-24	4100	3400	85000	98000	2700	85	122	3.18	3.32	48.24	27.87	1.24	2.23	Pet Owners	2.4	2.9	Segmented audience improved CPA.	2024-03-05T12:04:38
LOG-0017-2024A	search	7700	true	bid adjustment	CMP-1015	Student Savings Month	2024-03-01	2024-03-31	2024-03-12	9300	8200	217000	238000	6400	295	380	2.95	3.23	31.53	21.58	1.48	2.19	Students	1.9	2.3	Bid optimization increased conversions.	2024-03-31T19:17:22
LOG-0018-2024A	social	1460	true	creative optimization	CMP-1016	Weekend Flash Deals	2024-02-23	2024-02-25	2024-02-24	2100	1660	49000	57000	1200	44	61	2.45	2.56	47.73	27.21	1.09	2.02	Deal Hunters	1.8	2.2	Creative refresh led to higher CTR.	2024-02-25T19:22:43
LOG-0019-2024A	email	1620	false	blank	CMP-1017	Gourmet Goodies	2024-04-01	2024-04-14	blank	4200	4200	59000	59000	1620	58	58	2.75	2.75	72.41	72.41	1.21	1.21	Foodies	1.5	1.5	No AI strategy used.	2024-04-14T13:41:31
LOG-0020-2024A	display	3240	true	creative optimization	CMP-1018	Family Fun Days	2024-03-05	2024-03-19	2024-03-13	5400	4800	107000	118000	2750	134	162	2.57	2.75	40.3	29.63	1.3	1.92	Families	2.3	2.6	Creative refresh increased conversions.	2024-03-19T18:10:07

What the 64 rows show

from the 64-row sample

Search channel stands out: mean post_optimization_clicks is 16,077, against 6,763 for the rest.

73%ai_optimization_applied = true
6,100median post_optimization_clicks
8,510median pre_optimization_cost
7,800median post_optimization_cost
139,000median pre_optimization_impressions
143,500median post_optimization_impressions

Mean post_optimization_clicks by channel64 rows

post_optimization_clicks64 rows, in bands of 10k

Median 6,100, from 1,120 to 51,000.

optimization_strategy47 rows with a value · 17 left blank

creative optimization8
Creative Optimization8
bid adjustment7
Send Time Optimization6
audience segmentation5
Bid Adjustment5
Budget Allocation4
send time optimization2
keyword optimization1
Bid & Creative1

28 columns by typefrom the column list below

string 7
integer 6
float 10
date 3
datetime 1
boolean 1

Columns

28 columns in four groups

blueprint · 28 columns
column	type	description	example
Text 7 columns
`log_id`	string	Unique identifier for each optimization log entryunique	LOG-0001-2024A
`campaign_id`	string	Unique identifier for the marketing campaign	CMP-1001
`campaign_name`	string	Name of the marketing campaign	Spring Splash Sale
`channel`	string	Digital marketing channel (e.g., search, social, email)7 values	search
`audience_segment`	string	Target audience segment for the campaignoptional	Urban Millennials
`optimization_strategy`	string	Type of AI optimization strategy applied (e.g., bid adjustment, creative optimization)10 strategies · optional	bid adjustment
`notes`	string	Additional notes or comments about the optimization processoptional	No AI strategy used.
Numbers 16 columns
`pre_optimization_cost`	float	Total campaign cost before AI optimization (in USD)0 or more	12750.5
`post_optimization_cost`	float	Total campaign cost after AI optimization (in USD)0 or more	11220.35
`pre_optimization_impressions`	integer	Number of impressions before AI optimization0 or more	480000
`post_optimization_impressions`	integer	Number of impressions after AI optimization0 or more	510000
`pre_optimization_clicks`	integer	Number of clicks before AI optimization0 or more	14800
`post_optimization_clicks`	integer	Number of clicks after AI optimization0 or more	17000
`pre_optimization_conversions`	integer	Number of conversions before AI optimization0 or more	760
`post_optimization_conversions`	integer	Number of conversions after AI optimization0 or more	920
`pre_optimization_ctr`	float	Click-through rate before AI optimization (as a percentage)0 to 100 · optional	3.08
`post_optimization_ctr`	float	Click-through rate after AI optimization (as a percentage)0 to 100 · optional	3.33
`pre_optimization_cpa`	float	Cost per acquisition before AI optimization (in USD)0 or more · optional	16.78
`post_optimization_cpa`	float	Cost per acquisition after AI optimization (in USD)0 or more · optional	12.19
`pre_optimization_roas`	float	Return on ad spend before AI optimization0 or more · optional	2.35
`post_optimization_roas`	float	Return on ad spend after AI optimization0 or more · optional	3.18
`engagement_metric_pre`	float	Audience engagement metric before AI optimization (e.g., avg. time on site, as a float)0 or more · optional	2.7
`engagement_metric_post`	float	Audience engagement metric after AI optimization (e.g., avg. time on site, as a float)0 or more · optional	3.1
Dates and times 4 columns
`start_date`	date	Date when the campaign started	2024-02-15
`end_date`	date	Date when the campaign ended	2024-03-14
`ai_optimization_date`	date	Date when AI optimization was first appliedoptional	2024-02-24
`logged_at`	datetime	Timestamp when the log entry was recorded	2024-03-15T17:12:04
True or false 1 column
`ai_optimization_applied`	boolean	Indicates if AI optimization was applied to the campaign	true

Use it for

A marketing dashboard
The ai_optimization_applied rate, post_optimization_clicks by channel and a breakdown of optimization_strategy. Excel, Power BI or Tableau.
Why do the 13 search rows have a mean post_optimization_clicks of 16,077?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs64
LOG-0001-2024A17000search
LOG-0002-2024A9800display
LOG-0003-2024A6100social
A software demo
Believable logs with campaign_id, campaign_name and channel to fill a screen in front of a buyer.

This dataset64 rows28 columns

Yours10,000 rows28 columns

blueprint · marketing-campaign-ai-optimization-logs

Behind this dataset

Same schema. As many rows as you need.

These 64 rows came out of a blueprint — 28 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.

Rules it was built with

Each row represents a unique campaign optimization event.
Logs must include both pre- and post-optimization metrics.
AI intervention type (e.g., bid adjustment, creative rotation) is specified.
Campaigns span multiple channels (search, social, display).
Cost per acquisition (CPA) and engagement rate are required fields.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: marketing-campaign-ai-optimization-logs

What should your data show?

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Sample rows

What the 64 rows show

Columns

Use it for

A marketing dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Marketing

What should your data show?