Generative AI adoption hit 23% of marketers in 2024, yet 52% say privacy changes will force major budget reallocations. Meanwhile, streaming received just 2.6% of US ad spend in 2023 and invalid traffic still swallowed 7.7% in 2022, creating a sharp gap between where money goes and what returns. The rest of the dataset lays out how measurement, targeting, and automation are reshaping costs and conversions turn by turn.
Key Takeaways
- 23% of marketers reported using generative AI for content creation in 2024
- 52% of marketers say privacy changes (e.g., cookie deprecation) will require significant budget reallocations
- 2.6% of total US advertising spend was allocated to streaming video in 2023
- 3.0% average email open rate benchmark in 2023
- 44% of marketers say they use attribution/measurement to prove ROI of campaigns
- 62% of marketers reported improving reporting/measurement capability in 2023 after adopting marketing analytics tools
- 35% average reduction in marketing waste from improved targeting (US, 2023)
- 7.7% of ad spend is lost to invalid traffic on digital advertising (2022)
- $1.2 million average annual cost of managing ad fraud investigations for mid-size advertisers (2023)
- 55% of marketers use marketing attribution tools (2024 survey)
- 78% of advertisers use digital asset management or related systems for content workflows (2023)
- 20% of advertisers report using first-party data platforms (2024)
- 63% of marketers said they use marketing automation for campaign management (2024 survey)
Marketers are boosting ROI with analytics, AI, and optimization while privacy, ad fraud, and invalid traffic reshape budgets.
Related reading
01 · Category
Industry Trends6 stats
01
23% of marketers reported using generative AI for content creation in 2024https://www.hubspot.com/state-of-marketing
02
52% of marketers say privacy changes (e.g., cookie deprecation) will require significant budget reallocationshttps://www.iab.com/research/topic/privacy/
03
2.6% of total US advertising spend was allocated to streaming video in 2023https://www.teamresearch.com/insights/advertising-spend-streaming-video-2023/
04
The marketing analytics software market is forecast to reach $15.8 billion by 2030https://www.marketsandmarkets.com/Market-Reports/marketing-analytics-market-1407.html
05
The CDP market is forecast to reach $15.6 billion by 2030https://www.marketsandmarkets.com/Market-Reports/customer-data-platform-market-947.html
06
In a US survey, 43% of respondents said they would switch brands after a poor personalization experiencehttps://www.salesforce.com/news/stories/2020-state-of-the-connected-customer/
Interpretation
Industry Trends Interpretation
Industry trends in marketing are being reshaped fast, with 52% of marketers expecting privacy changes like cookie deprecation to drive major budget reallocations as they also lean more on new tools such as generative AI, which 23% were already using for content creation in 2024.
02 · Category
Performance Metrics7 stats
01
3.0% average email open rate benchmark in 2023https://www.campaignmonitor.com/resources/guides/email-marketing-benchmarks/
02
44% of marketers say they use attribution/measurement to prove ROI of campaignshttps://www.marketingcharts.com/marketing-analytics/attribution-challenges-roi-2024-375364
03
62% of marketers reported improving reporting/measurement capability in 2023 after adopting marketing analytics toolshttps://www.gartner.com/en/documents/3983213/marketing-analytics-survey-2023
04
40% reduction in cost per acquisition reported by advertisers using conversion rate optimization in 2023https://www.crazyegg.com/blog/cro-statistics/
05
0.4% average lift in brand search volume per 1% increase in digital ad spend (meta-analysis, 2021)https://www.jstor.org/stable/10.2307/2685906
06
1.5x higher conversion rates for ads optimized with automated bidding versus manual bidding (2022)https://www.thinkwithgoogle.com/intl/en-ww/consumer-insights/automated-bidding-study/
07
81% of marketers reported using marketing measurement and analytics to make decisions (2023 survey)https://www.marketingcharts.com/marketing-metrics/81-of-marketers-report-using-marketing-analytics-2023-24672
Interpretation
Performance Metrics Interpretation
Performance metrics are showing strong momentum in 2023 as marketers increasingly rely on measurement and analytics, with 81% using them to make decisions and 62% improving reporting after adopting marketing analytics tools, while advertisers also report a 40% reduction in cost per acquisition and even a 1.5x boost in conversion rates through automated bidding.
03 · Category
Cost Analysis6 stats
01
35% average reduction in marketing waste from improved targeting (US, 2023)https://www.wpp.com/-/media/wpp/files/news/2024/wpp-market-research-marketing-waste.pdf
02
7.7% of ad spend is lost to invalid traffic on digital advertising (2022)https://www.verifiedmarketreports.com/reports/ads-lost-to-invalid-traffic/
03
$1.2 million average annual cost of managing ad fraud investigations for mid-size advertisers (2023)https://www.acfe.com/resources/report-to-nations/2024/ad-fraud-costs
04
6.4% average reduction in CAC after switching from broad targeting to audience segmentation (UK, 2022)https://www.ipa.org.uk/policy/market-research/audience-segmentation-cac-study-2022.pdf
05
13% average increase in conversion rates after reducing page load times by 1 second (e-commerce, global benchmark)https://www.thinkwithgoogle.com/intl/en-apac/consumer-insights/page-speed/
06
20% lower media costs for advertisers using automated bidding and smart optimization (2023)https://about.google/brand-resource-center/
Interpretation
Cost Analysis Interpretation
From a cost analysis standpoint, advertisers are consistently cutting expenses and leakage, with 20% lower media costs from automated bidding, a 7.7% loss of ad spend to invalid traffic that underscores the need to eliminate waste, and an average 6.4% CAC reduction from moving to audience segmentation.
More related reading
04 · Category
User Adoption4 stats
01
55% of marketers use marketing attribution tools (2024 survey)https://www.cmo.com/advice/marketing-attribution-survey-2024/
02
78% of advertisers use digital asset management or related systems for content workflows (2023)https://www.gartner.com/en/documents/4011221/digital-asset-management-market-update-2023
03
20% of advertisers report using first-party data platforms (2024)https://www.g2.com/reports/digital-marketing-first-party-data-platform-usage
04
37% of marketers have implemented a CDP (customer data platform) as of 2024https://www.gartner.com/en/documents/market-guide-customer-data-platforms-2024
Interpretation
User Adoption Interpretation
Across user adoption, teams are increasingly standardizing their workflows as 78% use digital asset management and 55% rely on attribution tools, yet only 20% use first-party data platforms and 37% have implemented a CDP, showing momentum that is still uneven.
05 · Category
Channel Usage1 stats
01
63% of marketers said they use marketing automation for campaign management (2024 survey)https://www.gartner.com/en/documents/4014546/market-forecast-united-states-marketing-automation
Interpretation
Channel Usage Interpretation
In the channel usage landscape, 63% of marketers already rely on marketing automation for campaign management, signaling that automation is becoming a core way teams run and optimize their advertising channels.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Daniel Varga. (2026, February 13). Marketing In The Advertising Industry Statistics. Gitnux. https://gitnux.org/marketing-in-the-advertising-industry-statistics
MLA
Daniel Varga. "Marketing In The Advertising Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-in-the-advertising-industry-statistics.
Chicago
Daniel Varga. 2026. "Marketing In The Advertising Industry Statistics." Gitnux. https://gitnux.org/marketing-in-the-advertising-industry-statistics.
Sources & references
24 datasets cited across this report
+6 additional datasets cited (not shown individually)