Key Takeaways
- 63% of retailers say they are using generative AI for marketing content creation (survey), reflecting rapid adoption of genAI workflows
- Retailers use 12+ customer touchpoints on average in e-commerce journeys, indicating complexity of multi-channel marketing operations
- 51% of marketers plan to increase their influencer marketing budgets in 2024, demonstrating the ongoing shift toward creator-driven discovery
- 50% of marketers say personalization increases customer engagement, reflecting adoption of personalization tactics in marketing
- 61% of marketers used marketing automation tools in 2023, indicating widespread adoption in e-commerce marketing operations
- 62% of companies have implemented some form of customer data platform (CDP), showing adoption of unified customer data for marketing
- 45% higher email click-through rates for segmented campaigns versus non-segmented blasts, demonstrating performance impact
- 70% of marketers say improving SEO and growing organic presence is their top inbound marketing priority, indicating performance goal alignment
- 53% of mobile users abandon sites that take longer than 3 seconds to load, quantifying performance impact on conversion
- 73% of marketers report that measurement and attribution challenges limit their ability to evaluate marketing ROI (survey), impacting cost control
- In 2023, digital advertising spend in the U.S. reached $277.4 billion (Total digital ad spend).
- SEO increases marketing ROI by 14.7% on average (SEO ROI uplift metric).
- 13% of global retail e-commerce revenue was generated by mobile devices in 2023 (Share of online retail sales from mobile commerce).
- B2C e-commerce accounted for $1.3 trillion of global online sales in 2023 (B2C share of e-commerce sales by geography/segment).
- E-commerce in the EU accounted for 12.1% of total retail sales in 2023 (Share of e-commerce in total retail trade).
E-commerce marketers are rapidly adopting AI, automation, personalization, and faster experiences to drive better engagement, ROI, and revenue.
Related reading
Industry Trends
Industry Trends Interpretation
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User Adoption
User Adoption Interpretation
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Performance Metrics
Performance Metrics Interpretation
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Cost Analysis
Cost Analysis Interpretation
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Market Size
Market Size 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.
Ryan Townsend. (2026, February 13). Marketing In The E Commerce Industry Statistics. Gitnux. https://gitnux.org/marketing-in-the-e-commerce-industry-statistics
Ryan Townsend. "Marketing In The E Commerce Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-in-the-e-commerce-industry-statistics.
Ryan Townsend. 2026. "Marketing In The E Commerce Industry Statistics." Gitnux. https://gitnux.org/marketing-in-the-e-commerce-industry-statistics.
References
- 1salesforce.com/resources/research-reports/state-of-commerce/
- 8salesforce.com/resources/research-reports/state-of-the-connected-customer/
- 2bridgetravel.com/research/customer-journey-touchpoints-ecommerce/
- 3marketingcharts.com/digital-channel/influencer-marketing/51-of-marketers-plan-to-increase-influencer-marketing-budgets-in-2024-144765
- 19marketingcharts.com/analytics/attribution/73-of-marketers-report-that-measurement-and-attribution-challenges-limit-their-ability-to-evaluate-marketing-roi-145204
- 4wyzowl.com/video-marketing-statistics/
- 5pewresearch.org/internet/2021/04/07/social-media-use-in-2021/
- 6statista.com/statistics/201446/online-shopping-cart-abandonment-rate/
- 14statista.com/statistics/942860/voice-assistant-usage-worldwide-by-type/
- 22statista.com/statistics/763459/share-of-mobile-e-commerce-in-global-retail-e-commerce-revenue/
- 7eur-lex.europa.eu/eli/reg/2022/2065/oj
- 9gartner.com/en/marketing/insights/marketing-automation-statistics
- 12gartner.com/en/marketing/insights/recommendation-engines-adoption/
- 10forrester.com/report/state-of-customer-data-platform-adoption/
- 11hubspot.com/state-of-marketing
- 13brightlocal.com/research/local-consumer-review-survey/
- 15mailchimp.com/resources/email-marketing-benchmarks/
- 16searchenginejournal.com/state-of-seo/2024/
- 21searchenginejournal.com/seo-roi-statistics-14-7/469832/
- 17thinkwithgoogle.com/intl/en-apac/consumer-insights/mobile-page-speed-3-seconds/
- 18optimizely.com/experience/reports/site-search/
- 20economist.com/graphic-detail/2024/04/15/digital-ad-spending-in-the-us-is-still-rising
- 23oecd.org/sti/consumer/consumer-policy/e-commerce-statistics.htm
- 24ec.europa.eu/eurostat/statistics-explained/index.php?title=E-commerce_statistics







