Key Takeaways
- $5.1 billion global influencer marketing market size forecast for 2024 (spend on influencer marketing)
- 6.7% of U.S. retail sales were spent online in 2018 and this share rose to 15.2% in 2023 (online retail as a share of total retail sales).
- 74% of marketers say customer experience is critical to their business (share reporting CX importance)
- 56% of marketers report they are changing their marketing strategy due to AI (share citing AI-driven strategy changes)
- 35% of marketers cite improving lead quality as their top marketing goal (share selecting lead quality improvement)
- $1.1 trillion global marketing technology spending forecast for 2023 (planned or actual martech spend)
- 73% of marketing leaders say they use marketing automation (share using automation)
- 39% of marketers report using customer segmentation in campaigns (share using segmentation)
- 64% of marketers say they rely on SEO for achieving marketing goals (share relying on SEO)
- 38% of marketers say their marketing attribution is improving (share reporting improvement)
- 5-10% of marketing spend wasted due to poor measurement (share or range of waste due to measurement gaps)
- $1,500 to $10,000 monthly range for content marketing services (common content retainer pricing range)
- $100 to $500 per hour range for marketing consultants (typical hourly consulting price range)
- $500-$2,000 monthly typical range for marketing automation software (cost range for automation tools)
- In 2023, 33% of U.S. adults say they use social media “almost constantly” (intensity of use).
AI is reshaping marketing, while measurement and customer experience drive growth across influencer, content, and video budgets.
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Market Size
Market Size Interpretation
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Industry Trends
Industry Trends Interpretation
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User Adoption
User Adoption Interpretation
Performance Metrics
Performance Metrics Interpretation
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Cost Analysis
Cost Analysis Interpretation
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Customer Behavior
Customer Behavior Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Thomas Lindqvist. (2026, February 13). Marketing Agency Statistics. Gitnux. https://gitnux.org/marketing-agency-statistics
Thomas Lindqvist. "Marketing Agency Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-agency-statistics.
Thomas Lindqvist. 2026. "Marketing Agency Statistics." Gitnux. https://gitnux.org/marketing-agency-statistics.
References
- 1businessresearchinsights.com/influencer-marketing-market/
- 2census.gov/retail/mrts/www/data/pdf/ec_current.pdf
- 3salesforce.com/resources/research-reports/state-of-the-connected-customer/
- 4mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai
- 5hubspot.com/state-of-marketing-report
- 9hubspot.com/state-of-marketing
- 12hubspot.com/marketing-statistics
- 6wyzowl.com/video-marketing-statistics/
- 7marketingcharts.com/marketing-analytics/martech-consumers-using-attribution-2023-2024-114373
- 8superoffice.com/blog/customer-retention-statistics/
- 10ecfr.gov/current/title-13/part-121/appendix-A
- 11gartner.com/en/newsroom/press-releases/2023-04-11-gartner-says-marketing-technology-spending-to-reach-1-1-trillion-in-2023
- 14gartner.com/en/documents/3999859/market-activity-update-marketing-analytics-software
- 18gartner.com/en/articles/marketing-measurement-improvement/
- 13segment.com/state-of-customer-data/
- 15iab.com/research/
- 16searchenginejournal.com/seo-statistics/
- 17g2.com/articles/marketing-attribution-statistics
- 22g2.com/categories/marketing-automation/pricing
- 19marketingweek.com/marketing-report-2023-measuring-marketing-performance
- 20globenewswire.com/en/news-release/2024/03/12/2860985/0/en/Content-Marketing-Services-Market-Size-Share-Trends-and-Forecasts.html
- 21forbes.com/advisor/business/consultant-cost/
- 23sproutsocial.com/insights/social-media-management-cost/
- 24brafton.com/blog/marketing/average-b2b-marketing-budget/
- 25epsilon.com/sites/default/files/2024-05/Epsilon-Social-Advertising-Trends-Report-2024.pdf
- 26documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:4f0a1d5f-5e56-4d79-9c5c-2fbb2a1d3d3c
- 27pewresearch.org/internet/2023/04/12/social-media-use-in-2023/
- 28ihsmarkit.com/research-reports/marketing-statistics.html







